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   <front>
      <journal-meta>
         <journal-id journal-id-type="DOAJ">15041611</journal-id>
         <journal-title-group>
            <journal-title>Voices: A World Forum for Music Therapy</journal-title>
         </journal-title-group>
         <issn>1504-1611</issn>
         <publisher>
            <publisher-name>GAMUT - Grieg Academy Music Therapy Research Centre (NORCE &amp;
               University of Bergen)</publisher-name>
         </publisher>
      </journal-meta>
      <article-meta>
         <article-id pub-id-type="doi">10.15845/voices.v20i2.2869</article-id>
         <article-categories>
            <subj-group subj-group-type="heading">
               <subject>Research</subject>
            </subj-group>
         </article-categories>
         <title-group>
            <article-title>The Impact of Singing Engagement on Food Intake of Individuals with
               Alzheimer’s Disease and Related Dementias</article-title>
            <subtitle>A Multi-site, Repeated Measures Study</subtitle>
         </title-group>
         <contrib-group>
            <contrib contrib-type="author">
               <name>
                  <surname>Hiller</surname>
                  <given-names>James</given-names>
               </name>
               <xref ref-type="aff" rid="J_Hiller"/>
               <address>
                  <email>james.hiller@udayton.edu</email>
               </address>
            </contrib>
         </contrib-group>
         <aff id="J_Hiller"><label>1</label>University of Dayton in Dayton, Ohio, USA</aff>
         <contrib-group>
            <contrib contrib-type="editor">
               <name>
                  <surname>McCaffey</surname>
                  <given-names>Triona</given-names>
               </name>
            </contrib>
         </contrib-group>
         <contrib-group>
            <contrib contrib-type="reviewer">
               <name>
                  <surname>Dassa</surname>
                  <given-names>Ayelet</given-names>
               </name>
            </contrib>
            <contrib contrib-type="reviewer">
               <name>
                  <surname>Lyons</surname>
                  <given-names>Steven</given-names>
               </name>
            </contrib>
         </contrib-group>
         <pub-date pub-type="pub">
            <day>1</day>
            <month>7</month>
            <year>2020</year>
         </pub-date>
         <volume>20</volume>
         <issue>2</issue>
         <history>
            <date date-type="received">
               <day>22</day>
               <month>6</month>
               <year>2019</year>
            </date>
            <date date-type="accepted">
               <day>24</day>
               <month>4</month>
               <year>2020</year>
            </date>
         </history>
         <permissions>
            <copyright-statement>Copyright: 2020 The Author(s)</copyright-statement>
            <copyright-year>2020</copyright-year>
            <license license-type="open-access"
               xlink:href="http://creativecommons.org/licenses/by/4.0/">
               <license-p>This is an open-access article distributed under the terms of the
                     <uri>http://creativecommons.org/licenses/by/4.0/</uri>, which permits
                  unrestricted use, distribution, and reproduction in any medium, provided the
                  original work is properly cited.</license-p>
            </license>
         </permissions>
         <self-uri xlink:href="https://voices.no/index.php/voices/article/view/2869"
            >https://voices.no/index.php/voices/article/view/2869</self-uri>
         <abstract>
            <p>Malnutrition among older adults with Alzheimer’s disease and related dementias (ADRD)
               is a serious and long-recognized health concern. Identifying nonpharmacological means
               for enhancing the volume of nutrition intake is an urgent need. Researchers have
               explored the use of music and music therapy as nonpharmacological avenues in this
               regard, but most music-based studies related to food intake focus on receptive
               interventions wherein participants are exposed to recorded music during meal times.
               The purpose of the present research is to investigate whether residents with ADRD
               would significantly increase their volume of food intake during the midday meal
               immediately following 30 minutes of active singing engagement facilitated by a
               board-certified music therapist (MT-BC). Results indicated no significant change in
               food intake for participants with ADRD in three long-term care facilities. However,
               the unintended finding at two facilities wherein participants’ food intake was
               greater during baseline weeks versus treatment weeks led to speculation about the
               impact of serotonin which researchers report is released during enjoyable music
               engagement episodes, but that has also long been recognized as an appetite
               suppressant. With this newly interpreted finding, recommendation is offered for
               monitoring when music therapy is provided for individuals with ADRD and nutritional
               complications relative to their meal times toward minimizing potential adverse
               effects.</p>
         </abstract>
         <kwd-group kwd-group-type="author-generated">
            <kwd>singing</kwd>
            <kwd>dementia</kwd>
            <kwd>nutrition</kwd>
            <kwd>serotonin</kwd>
            <kwd>appetite</kwd>
            <kwd>music therapy</kwd>
         </kwd-group>
      </article-meta>
   </front>
   <body>
      <!-- sec lvl 2 begin -->
      <sec>
         <title>Introduction</title>
         <p>Malnutrition among older adults with Alzheimer’s disease and related dementias (ADRD) is
            a serious and long-recognized health concern (<xref ref-type="bibr" rid="AGM2008">Amella
               et al., 2008</xref>; <xref ref-type="bibr" rid="LWW2010">Lin et al., 2010</xref>;
               <xref ref-type="bibr" rid="OP1995">van Ort &amp; Phillips, 1995</xref>; <xref
               ref-type="bibr" rid="VBCCJGHB2018">Volkert et al., 2018</xref>). Identifying
            nonpharmacological means for enhancing the volume of nutrition intake for persons with
            ADRD is an urgent need (<xref ref-type="bibr" rid="DHLWC2018">Dyer et al., 2018</xref>;
               <xref ref-type="bibr" rid="JBDMMH2015">Jansen et al., 2015</xref>; <xref
               ref-type="bibr" rid="LDWCC2016">Laver et al., 2016</xref>; <xref ref-type="bibr"
               rid="PAGP2014">Prince et al., 2014</xref>). Researchers have explored the use of
            music and music therapy as nonpharmacological avenues in this regard. However,
            systematic reviews and meta-analyses of studies exploring the impact of music-based
            interventions to ameliorate dementia symptoms reveal mixed results, most often due to
            low numbers of participants and poor methodological integrity (<xref ref-type="bibr"
               rid="LDWCC2016">Laver et al., 2016</xref>; <xref ref-type="bibr" rid="PCG2015"
                  >Petrovsky et al., 2015</xref>; <xref ref-type="bibr" rid="SSWBSV2018">van der Steen
               et al., 2018</xref>; <xref ref-type="bibr" rid="USSI2013">Ueda et al., 2013</xref>). </p>
         <p>Most music-based studies related to food intake focus on <italic>receptive</italic>
            interventions, in which participants are exposed to recorded music in the dining area
            during meal times (<xref ref-type="bibr" rid="RKKN1996">Ragneskog et al.,1996</xref>;
               <xref ref-type="bibr" rid="RN2004">Richeson &amp; Neill, 2004</xref>; <xref
               ref-type="bibr" rid="TS2009">Thomas &amp; Smith, 2009</xref>; <xref ref-type="bibr"
               rid="WBWMS2008">Wong et al., 2008</xref>). In only one report did researchers engage
            residents with ADRD in <italic>active</italic> music making just prior to dining toward
            stimulating food intake during the meal (<xref ref-type="bibr" rid="MHGHBD2012">McHugh
               et al., 2012</xref>). McHugh and colleagues reported encouraging results but also
            cautious interpretation of their findings due to problematic data collection procedures.
            The researchers end their report by encouraging replication research applying careful
            method modifications.</p>
         <p>The present study replicates many aspects of <xref ref-type="bibr" rid="MHGHBD2012"
               >McHugh et al. (2012)</xref> but with several design modifications to increase
            overall methodological integrity. The purpose was to investigate whether residents with
            ADRD would significantly increase their volume of food intake during the midday meal
            immediately following 30 minutes of singing engagement facilitated by a board-certified
            music therapist (MT-BC). McHugh and colleagues reported that the older adults with ADRD
            with whom they worked demonstrated enhanced cognitive and social functioning along with
            positive changes in affect and physical energy immediately following music therapy
            sessions. These authors also drew on Aldridge’s (<xref ref-type="bibr" rid="A2007"
               >2007</xref>) observation that songs can have “regulative effects” on functioning for
            both anxious and disorganized individuals and those with diminished arousal and
            cognitive functioning (p.31). With these observations and McHugh and colleagues’
            preliminary findings, it was hypothesized that the cognitive, physical, emotional, and
            social stimulation that residents experience during therapist-facilitated singing would
            yield significant increases in food intake as compared with usual care. Hereafter, “food
            intake” refers to the consumption of both solid foods and liquids.</p>
      </sec>
      <!-- sec lvl 2 end -->
      <!-- sec lvl 2 begin -->
      <sec>
         <title>Review of Literature</title>
         <!-- sec lvl 3 begin -->
         <sec>
            <title>ADRD and Malnutrition</title>
            <p>Key to maintaining a satisfactory level of physical and mental health in the face of
               unavoidable decline characteristic of ADRD is independently taking in adequate
               amounts of food during mealtimes. Volkert and co-authors (<xref ref-type="bibr"
                  rid="VBCCJGHB2018">2018</xref>) emphasize that “Nutrition is an important modulator of
               health and well-being in older adults” (p. 2). Those with ADRD are at greater risk
               for malnutrition, with risk factors that include “the older person’s social, economic
               and environmental situations; problems with mouth, teeth and swallowing; mental,
               neurological and other chronic physical diseases; and side effects of long-term
               treatment with certain drugs” (<xref ref-type="bibr" rid="PAGP2014">Prince et al.,
                  2014, p. 6</xref>). Other factors include compromised taste sense, impaired
               planning (i.e., executive function), loss of interest in food, and lack of attention
               to the eating process (<xref ref-type="bibr" rid="BO2015">Brooke &amp; Ojo,
                  2015</xref>; <xref ref-type="bibr" rid="SWHKAS2018">Suma et al., 2018</xref>).
               Anxiety and depression, which are common among persons with ADRD, are also related to
               poor nutritional intake (<xref ref-type="bibr" rid="AGM2008">Amella et al.,
                  2008</xref>). Malnutrition can result in frailty, reduced mobility, increased risk
               of falls and fractures, serious health conditions, and increased mortality (<xref
                  ref-type="bibr" rid="PAGP2014">Prince et al., 2014</xref>). Evidence-based
               environmental and nonpharmacological interventions thought to maximize the potential
               for adequate food intake, including music in some form, have received considerable
               attention in the literature. </p>
         </sec>
         <!-- sec lvl 3 end -->
         <!-- sec lvl 3 begin -->
         <sec>
            <title>Music Listening as Nonpharmacological Intervention for Problem Behaviors During
               Mealtime</title>
            <p>A recent systematic review of music-based interventions for persons with dementia
               provides the most up-to-date information about the potential impact of music in
               dementia care (<xref ref-type="bibr" rid="SSWBSV2018">van der Steen et al.,
                  2018</xref>). The researchers analyzed 22 studies; unfortunately, neither
               malnutrition nor problematic weight loss were identified outcome measures. However,
               in describing music’s impact, the authors wrote, “Music may also be used in ways
               which are less obviously therapy or therapeutic, for example, playing music during
               other activities, such as meals or baths…” (p. 6). </p>
            <p>Multiple researchers have explored the use of recorded music as an environmental
               additive to ameliorate agitation and aggressive behaviors during mealtimes. Using
               adaptations of the Cohen-Mansfield Agitation Inventory (CMAI), they measured physical
               and verbal aggressive behavior and physical and verbal non-aggressive behavior.
               Findings are inconsistent, with one study (<xref ref-type="bibr" rid="HLJTSC2011">Ho
                  et al., 2011</xref>) reporting a significant decrease in all four behaviors, one
                  (<xref ref-type="bibr" rid="CHLL2010">Chang et al., 2010</xref>) pointing to a
               significant decrease in physical and verbal aggressive behavior (but no change in
               physical and verbal non-aggressive behavior), and one (<xref ref-type="bibr"
                  rid="HM2005">Hicks-Moore, 2005</xref>) noting positive trends on all measures but
               no significant change. It should be noted that it was not these researchers’ intent
               to test the impact of music on nutritional intake; rather, the purpose was to
               identify whether recorded music played in the dining environment could mitigate
               challenges that adversely impact facility staff. Nonetheless, it seems reasonable to
               assert that a less chaotic or distracting environment, promoted when agitation is
               reduced, might also be conducive to more productive eating for residents with ADRD.
            </p>
         </sec>
         <!-- sec lvl 3 end -->
         <!-- sec lvl 3 begin -->
         <sec>
            <title>Music Listening as Nonpharmacological Intervention for Increasing Food
               Intake</title>
            <p>Authors noted the positive potential of background music in the dining environment as
               a nonpharmacological intervention for feeding difficulties of older adults with ADRD.
               In a study of older adults in Sweden, <xref ref-type="bibr" rid="RKKN1996">Ragneskog
                  and colleagues (1996)</xref> found a 22% increase in length of time that residents
               spent in the dining room when various styles of music were played, with the longest
               time in response to “soothing” music and the second longest time with “popular
               Swedish” music. The researchers also reported positive changes during music
               interventions with regard to mood, agitation, and a decrease in the rate of speed at
               which residents ate their meals.</p>
            <p>Richeson and Neill (<xref ref-type="bibr" rid="RN2004">2004</xref>) played recorded
               “relaxing” or “quiet” music in the dining area and evaluated agitation behaviors
               using the CMAI. Food intake was measured by calculating the difference between
               nursing staff estimates of percentage of food eaten during baseline and treatment
               phases. The researchers reported improvement in most of the agitation category scores
               and an 8.6% increase in estimated food intake. </p>
            <p>
               <xref ref-type="bibr" rid="WBWMS2008">Wong and colleagues (2008)</xref> used a
               multi-phase series of interventions to enhance nutritional intake of persons with
               ADRD who were admitted to a hospital assessment unit. The phases were baseline,
               encouragement of “dietary grazing,” extended staff assistance, and playing recorded
               “soothing” music. Researchers measured a variety of dietary concerns including each
               individual’s weight, body mass index, a malnutrition questionnaire, an Eating
               Behavior Scale, and a staff “plate waste measure” indicating the difference between
               the estimated amount of food served and the amount left after the meal (p. 310).
               Caloric intake at lunchtime was reported to have significantly increased during the
               music phase. Interestingly, overall food intake decreased with music played during
               breakfast, and patients remained in the dining area longer when music was present. </p>
            <p>Thomas and Smith (<xref ref-type="bibr" rid="TS2009">2009</xref>) used a
               non-randomized, time-series crossover (ABAB) design to study the impact of background
               music to increase caloric intake. Twelve individuals served as their own controls.
               Food intake was measured using a visual estimation system of quartiles (i.e., 0%,
               25%, 50%, 75%, 100%) of food consumed. Recorded music including popular classical
               compositions, traditional American, English, and Irish folk melodies, and 13th
               century English dance music was played in the dining area alternately for 8 weeks.
               Results showed an overall increase in caloric intake of 20% during weeks with music
               versus weeks with no music. Residents also stayed longer in the dining area when
               music was present, thereby enhancing the potential for continued eating and social
               interactions.</p>
         </sec>
         <!-- sec lvl 3 end -->
      </sec>
      <!-- sec lvl 2 end -->
      <!-- sec lvl 2 begin -->
      <sec>
         <title>Singing as Nonpharmacological Intervention for Increasing Food Intake</title>
         <p>Researchers from within and outside of music therapy have examined the health and mental
            health benefits derived from singing for adults in latter stages of life, including
            those with ADRD (<xref ref-type="bibr" rid="CC2004">Clements-Cortés, 2004,</xref>, <xref
               ref-type="bibr" rid="CC2017">2017</xref>; <xref ref-type="bibr" rid="CCSR2015"
               >Coulton et al., 2015</xref>; <xref ref-type="bibr" rid="LP2006">Lesta &amp; Petocz,
               2006</xref>). However, only one study was found that sought a connection between
            singing and improved food intake. <xref ref-type="bibr" rid="MHGHBD2012">McHugh and
               colleagues (2012)</xref> facilitated residents singing of familiar songs just prior
            to their midday meal to ascertain whether this form of active music engagement might
            stimulate increased food intake. These researchers highlighted the potential of singing engagement to “compose and soothe
            individuals who are disorganized or anxious and arouse those with abnormally diminished
            levels of physical and cognitive activity” (p. 32). This observation, coupled with the
            “regulative effects” of song as noted by Aldridge (<xref ref-type="bibr" rid="A2007"
               >2007, p.31</xref>), led the authors in this study to hypothesize that residents
            would be physically and emotionally better positioned to consume more food immediately
            following singing sessions versus controls who had no music engagement. Familiar
            popular, patriotic, and religious songs were carefully identified for the treatment
            group and food intake was measured through a visual plate waste quartiles system already
            in place at the facility. Results indicated no significant positive or negative changes
            in food intake for the treatment group as a whole while the mean food intake for the
            control wait-list group on treatment days was greater than for the treatment group. It
            was identified, however, that some of the residents in the treatment group increased
            their food consumption by 5%. </p>
         <!-- sec lvl 3 begin -->
         <sec>
            <title>Purpose</title>
            <p>Leah’s (<xref ref-type="bibr" rid="L2016">2016</xref>) systematic review of
               nonpharmacological interventions to enhance food intake included reviews of the
               Richeson and Neil (<xref ref-type="bibr" rid="RN2004">2004</xref>), Thomas and
               Smith (<xref ref-type="bibr" rid="TS2009">2009</xref>) and McHugh, et al. (<xref
                  ref-type="bibr" rid="MHGHBD2012">2012</xref>) studies, and noted that only the
               receptive music experiences seemed to provide a positive influence on the volume of
               food intake. However, Leah had only McHugh et al’s pilot study for comparison of
               singing with listening. The impact of singing, therefore, seems an important yet
               underdeveloped area of research relative to food intake. Leah’s findings, therefore,
               serve as one impetus for the present research on an active versus receptive music
               intervention. A further motivation for this study is the general need for replication
               research in the music therapy literature as well as research on singular method
               variations (rather than on a variety of interventions typically facilitated during
               sessions), as called for in the proceedings of the AMTA sponsored symposium titled,
                  <italic>Improving access and quality: Music therapy research 2025</italic> (<xref
                  ref-type="bibr" rid="AMTA2015">AMTA, 2015</xref>). The purpose of the present
               study was to investigate the impact of 30 minutes of singing engagement facilitated
               by an MT-BC on the subsequent volume of food intake during the midday meal for
               individuals with ADRD. </p>
         </sec>
         <!-- sec lvl 3 end -->
      </sec>
      <!-- sec lvl 2 end -->
      <!-- sec lvl 2 begin -->
      <sec>
         <title>Method</title>
         <p>In the present inquiry, modifications to the methods employed by <xref ref-type="bibr"
               rid="MHGHBD2012">McHugh et al. (2012)</xref> included a more rigorous
            repeated-measures return to baseline design, multi-site involvement toward a larger
            sample size, and more consistent data collection practices along with greater precision
            and objectivity in calculating food intake. The facilities where the study took place
            are located in the midwestern United States.</p>
         <!-- sec lvl 3 begin -->
         <sec>
            <title>Study Design</title>
            <p>This study used a repeated-measures (within-subjects) experimental design with
               participants serving as their own controls to measure the effectiveness of group
               singing on volume of food intake during the midday meal. Participants’ food intake
               was measured three days per week at each of three sites for 4 weeks: </p>
            <list>
               <list-item><p>Week 1 – Baseline (usual care, no singing)</p></list-item>
               <list-item><p>Week 2 – Treatment (group singing facilitated by an MT-BC)</p></list-item>
               <list-item><p>Week 3 – Baseline</p></list-item>
               <list-item><p>Week 4 – Treatment</p></list-item>
            </list>
            <!-- sec lvl 4 begin -->
            <sec>
               <title>Participant Selection and Eligibility Criteria</title>
               <p>Participant selection occurred in coordination with each site’s chief
                  administrator and the directors of nursing and of dietetics with input from the
                  director of social work at sites 1 and 3 and the activity director at site 2.
                  Twenty-nine study participants with a primary diagnosis of ADRD were selected from
                  a convenience sample of residents from all sites whose legally authorized
                  representative (LAR) provided written consent for participation and who met the
                  following additional eligibility criteria: (a) 50 years of age or older, (b)
                  hearing adequate for engaging in active group singing, and (c) considered
                     <italic>self-feeders </italic>by facility staff. A self-feeder was defined as
                  an individual who fed them self with hands and utensils (i.e., brought food and
                  drink to their own mouth). However, it was considered typical of the dining
                  routine in all three facilities for staff to periodically use hand-over-hand
                  assistance to lift food to a participant’s mouth or for staff themselves to lift
                  food to a participant’s mouth, but such instances were rare. It was also
                  considered typical for staff to provide periodic verbal reminders or redirection
                  to a participant to sustain feeding when episodes of distraction occurred. One
                  participant experienced profound deterioration during the study, making one-on-one
                  feeding assistance necessary. This participant’s data was nonetheless included in
                  the study as she consistently attended and participated in the music engagement
                  sessions and seemed able to respond to the aide responsible for her feeding to
                  voluntarily open her mouth to ingest food and to refuse additional food when it
                  seemed she was sated. One participant self-selected out of the study. Thus, a
                  total of 28 residents ranging in age from 63 to 99 years completed the study. At
                  two of the three sites, non-participant residents joined the study participants
                  during singing; however, data were not collected for these residents as they did
                  not meet all study eligibility criteria. The study was reviewed and approved by
                  the Institutional Review Board of the primary investigator’s (PI) institution and
                  by the chief administrator at each facility. Specific demographic data for
                  participants at each facility appears in Table 1.</p>
               <p/>
               <table-wrap id="tbl1">
                  <label>Table 1</label>
                  <!-- optional label and caption -->
                  <caption>
                     <p>Demographics of Study Participants</p>
                  </caption>
                  <table>
                     <thead>
                        <tr>
                           <th/>
                           <th>Site 1</th>
                           <th>Site 2</th>
                           <th>Site 3</th>
                        </tr>
                     </thead>
                     <tbody>
                        <tr>
                           <td>Number of Participants<break/>
                           </td>
                           <td>M=4<break/>F=6</td>
                           <td>M=3<break/>F=5</td>
                           <td>M=0<break/>F=10</td>
                        </tr>
                        <tr>
                           <td>Race<break/>
                           </td>
                           <td>AA=5<break/>Wh=5</td>
                           <td>AA=0<break/>Wh=8</td>
                           <td>AA=0<break/>Wh=10</td>
                        </tr>
                        <tr>
                           <td>MMSE Score (Range)</td>
                           <td>3–18</td>
                           <td>0–17</td>
                           <td>5–10</td>
                        </tr>
                     </tbody>
                  </table>
                  <table-wrap-foot>
                     <p>Note. M = Male, F = Female, AA = African American, Wh =
                        White.</p>
                     <p>Scores on the Mini-Mental State Exam or MMSE indicate a level of impairment
                        related to dementia as follows: 20–24 suggests mild dementia, 13–20 suggests
                        moderate dementia, and less than 12 suggests severe dementia (<xref
                           ref-type="bibr" rid="AA2020">Alzheimer’s Association, 2020</xref>). </p>
                  </table-wrap-foot>
               </table-wrap>
            </sec>
            <!-- sec lvl 4 end -->
            <!-- sec lvl 4 begin -->
            <sec>
               <title>Research Sites </title>
               <p>Four nursing facilities where older adults with ADRD reside were approached by the
                  PI with an invitation to participate in the study. Three sites responded
                  affirmatively to the invitation. Descriptions of each participating site and the
                  data collection environment appear in Table 2.</p>
               <p/>
               <table-wrap id="tbl2">
                  <label>Table 2</label>
                  <!-- optional label and caption -->
                  <caption>
                     <p>Site Details</p>
                  </caption>
                  <table>
                     <col width="15%"/>
                     <thead>
                        <tr>
                           <th/>
                           <th>Site 1</th>
                           <th>Site 2</th>
                           <th>Site 3</th>
                        </tr>
                     </thead>
                     <tbody>
                        <tr>
                           <td>Location</td>
                           <td>Urban</td>
                           <td>Suburban</td>
                           <td>Suburban</td>
                        </tr>
                        <tr>
                           <td>Categorization of Care</td>
                           <td>Skilled Nursing Care</td>
                           <td>Skilled Nursing Care</td>
                           <td>Skilled Nursing Care</td>
                        </tr>
                        <tr>
                           <td>Total Resident Capacity</td>
                           <td>99</td>
                           <td>169</td>
                           <td>54</td>
                        </tr>
                        <tr>
                           <td>Total Memory Support Capacity</td>
                           <td>NA</td>
                           <td>32</td>
                           <td>22</td>
                        </tr>
                        <tr>
                           <td>Total Study Participants</td>
                           <td>10</td>
                           <td>8</td>
                           <td>10</td>
                        </tr>
                        <tr>
                           <td>Intervention (Singing) Environment</td>
                           <td>Enclosed, multi-use activity room with windows overlooking
                              hallway/nurses’ station and windows overlooking site grounds;
                              participants sat in chairs or wheelchairs around 6-foot long tables
                              arranged end to end for family-style dining; flat-screen TV on one
                              wall.</td>
                           <td>Enclosed, multi-use activity room with windows overlooking site
                              grounds on two walls; participants sat in chairs or wheelchairs at
                              square tables widely distributed throughout the room (max. 4 residents
                              per table).</td>
                           <td>Open living room area adjacent to the dining room (see below); no
                              windows; participants sat on a large couch, two over-sized chairs, or
                              wheelchairs; flat screen TV on one wall.</td>
                        </tr>
                        <tr>
                           <td>Data Collection (Dining) Environment</td>
                           <td>Same space as the intervention environment described above.</td>
                           <td>Same space as the intervention environment described above.</td>
                           <td>Enclosed dining room with one large bay window overlooking site
                              grounds; participants sat at combination of freestanding square tables
                              (max. 3 residents) and one longer table (max. 6 residents).</td>
                        </tr>
                     </tbody>
                  </table>
               </table-wrap>
            </sec>
            <!-- sec lvl 4 end -->
         </sec>
         <!-- sec lvl 3 end -->
         <!-- sec lvl 3 begin -->
         <sec>
            <title>Treatment Conditions</title>
            <!-- sec lvl 4 begin -->
            <sec>
               <title>Baseline</title>
               <p>Baseline data were collected on Tuesday, Wednesday, and Thursday of Week 1 and
                  Week 3 and represented <italic>usual care</italic>. Usual care received by
                  residents during the 30 minutes prior to the midday meal varied by site and
                  included recorded or radio music playing in the environment, television, and free,
                  unstructured time. None of the sites held structured activity sessions led by
                  staff during this period. </p>
               <p>Thirty minutes prior to the meal, participants at Site 1 were consistently seated
                  at the family-style table where they ate their meals. A large-screen television in
                  immediate proximity played a game show until food trays arrived. At Site 2, most
                  of the participants were seated 30 minutes before the meal at their assigned
                  tables. Periodically, a radio played traditional country and rockabilly music by
                  singers such as Hank Williams, Patsy Cline, Roger Miller, and Elvis Presley at a
                  low volume level. (It was often questionable to the PI and research assistants
                  whether the residents in the space could hear the radio due to its low volume
                  level.) Participants at Site 3 were either seated at their assigned tables or in
                  an adjacent living area at least 30 minutes prior to the meal. When the meal was
                  ready, those not in the dining room were escorted in by staff.</p>
            </sec>
            <!-- sec lvl 4 end -->
            <!-- sec lvl 4 begin -->
            <sec>
               <title>Singing Engagement</title>
               <p>Intervention data were collected on Tuesday, Wednesday, and Thursday of Week 2 and
                  Week 4. During treatment weeks, at least 30 minutes prior to the midday meal,
                  participants were escorted by staff or independently arrived at the intervention
                  environment. At Sites 1 and 2, participants were arranged at their dining tables
                  prior to singing, whereas at Site 3, participants were clustered in the living
                  room space adjacent to the dining room in a half circle formation. Once all
                  participants were settled, a facilitating MT-BC began a singing session that
                  typically lasted 30 minutes. If dietary staff indicated that meals would be
                  delayed, the facilitating MT-BC was prepared to extend the music engagement so
                  that no more than 10–15 minutes elapsed between the end of the intervention and
                  the start of the meal. This seemed a reasonable procedure in accordance with
                  findings of <xref ref-type="bibr" rid="GBE2009">Götell et al. (2009)</xref> and
                  Lesta and Petocz (<xref ref-type="bibr" rid="LP2006">2006</xref>), who advance
                  that time spans beyond 20 minutes tend to negate any “carry-over” effects of a
                  stimulus–response relationship for older adults with dementia. Across all three
                  sites, the longest lapse was approximately 10–12 minutes.</p>
               <p>
                  <bold>Music Therapists:</bold>
                  <italic> </italic>The PI approached three board-certified music therapists who
                  agreed and were paid to facilitate the singing sessions. All three MT-BCs
                  possessed experience with older adults with ADRD, musical skills more than
                  adequate for the demands of singing facilitation, and were aware of the aims of
                  the study. Their assignments to particular sites was based on their availability
                  during the summer months when the study took place. MT-BC characteristics and
                  number and location of sessions facilitated by each appear in Table 3.</p>
               <p>
                  <italic/>
               </p>
               <table-wrap id="tbl3">
                  <label>Table 3</label>
                  <!-- optional label and caption -->
                  <caption>
                     <p>MT-BC Characteristics and Site Facilitation</p>
                  </caption>
                  <table>
                     <thead>
                        <tr>
                           <th>MT-BC</th>
                           <th>Demographics</th>
                           <th>Full-time Clinical Experience</th>
                           <th>Number of Sessions Facilitated at Each Site</th>
                        </tr>
                     </thead>
                     <tbody>
                        <tr>
                           <td>#1</td>
                           <td>Age = 30s<break/>Race = Wh</td>
                           <td>6 years</td>
                           <td>Site 1 = 6<break/>Site 2 = 1<break/>Site 3 = 3</td>
                        </tr>
                        <tr>
                           <td>#2</td>
                           <td>Age = 40s<break/>Race = Wh</td>
                           <td>17 years</td>
                           <td>Site 1 = 0<break/>Site 2 = 3<break/>Site 3 = 3</td>
                        </tr>
                        <tr>
                           <td>#3</td>
                           <td>Age = 30s<break/>Race = Wh</td>
                           <td>11 years</td>
                           <td>Site 1 = 0<break/>Site 2 = 2<break/>Site 3 = 0</td>
                        </tr>
                     </tbody>
                  </table>
               </table-wrap>
               <p>
                  <bold>Songs:</bold> Approximately 12 songs were facilitated during each singing
                  session, most from the period of the 1940s to the mid 1960s with English language
                  lyrics. From a treatment philosophy standpoint, the songs themselves were not seen
                  as discrete mechanisms of influence but rather as the medium through which MT-BCs
                  and participants interacted. In other words, the premise of the study was not that
                  a particular song or batch of songs would affect the participants’ nutritional
                  intake directly, but rather that the intermusical, intramusical, and interpersonal
                  features of the MT-BC facilitated singing sessions would provide opportunities for
                  change in the dependent variable. </p>
               <p>The key aspect of importance for song selection was the concept of familiarity,
                  application of which can decrease problematic social behavior and negative moods
                  states, evoke positive feelings, and strengthen older adults’ sense of self (<xref
                     ref-type="bibr" rid="C2000">Clair, 2000</xref>; <xref ref-type="bibr"
                     rid="CM2008">Clair &amp; Memmott, 2008</xref>; <xref ref-type="bibr"
                     rid="DA2014">Dassa &amp; Amir, 2014</xref>; <xref ref-type="bibr" rid="DL2015"
                     >Douglas &amp; Lawrence, 2015</xref>; <xref ref-type="bibr" rid="LP2006">Lesta,
                     2006</xref>; <xref ref-type="bibr" rid="STW2002">and Son et al.,
                  2002</xref>). <xref ref-type="bibr" rid="STW2002">Son and colleagues (2002)</xref>
                  explained that familiar music serves as a stimulator of <italic>implicit
                     memory,</italic> which they theorize is preserved in persons with ADRD whereas
                  explicit memory is impaired. “Explicit memory is conscious, directed effort to
                  recollect prior experience and facts. Implicit memory is the demonstration of the
                  effects of prior experience without conscious recollection of that experience” (p.
                  264). Implicit memory is associated with learned actions and skills, including
                  those for feeding one’s self, and does not require focused conscious thought to
                  enact but rather is automatic. The authors further hypothesize that successful
                  enacting of learned, functional actions stimulated by familiar stimuli, such as
                  song material, results in reinforced sense of confidence and therefore feelings of
                  calmness and control in environments that may otherwise feel foreign and unsafe
                  (p. 266). Implicit memory relative to engagement with familiar song material might
                  include foot or hand tapping or clapping to a beat, humming a familiar melody, or
                  singing or mouthing lyrics. </p>
               <p>With the concept of song familiarity as fundamental for maximum singing
                  engagement, the PI created an initial song list intended for potential use across
                  all sites by adapting the procedures described by McHugh, et al. (<xref
                     ref-type="bibr" rid="MHGHBD2012">2012</xref>). Once the initial list was created,
                  the PI conferred with the MT-BCs and made changes on the basis of song suggestions
                  that they provided. The PI explicitly empowered the MT-BCs to spontaneously draw
                  from their own <italic>practice wisdom</italic> (<xref ref-type="bibr" rid="S1990"
                     >Scott, 1990, p. 564</xref>) and personal repertoires of relevant song material
                  during the sessions. This was viewed as a way to elicit, maintain, and deepen
                  participants’ engagement and interactions within the singing experience and
                  reflects the nature of typical practice with residents with ADRD. A complete list
                  of song material used during the sessions appears in the Appendix.</p>
               <p>It was neither essential nor possible that the song material be performed
                  precisely the same way per session or per therapist; however, the PI believed it
                  important that the stylistic accuracy be preserved from session to session in
                  order to promote participants’ recognition of and sense of familiarity with the
                  songs and the manner in which the participants would have heard them in their
                  younger years. To that end, the PI rehearsed stylistic features with each MT-BC
                  individually prior to treatment sessions.</p>
               <p>
                  <bold>Musical Facilitation:</bold>
                  <italic> </italic>As indicated above, study participants were arranged uniquely at
                  each of the sites during singing, with some sitting around tables and some sitting
                  in an open living area. In a few cases at Site 1 early in the study, the MT-BC led
                  singing while standing at an electronic keyboard on an immobile stand, but because
                  participants were seated around a long table (some with their backs to the MT-BC),
                  this set-up was abandoned in favor of exclusively using a strummed steel-string
                  acoustic guitar with a strap. This allowed the guitar’s sound to be strongly
                  projected as needed and for the MT-BC to move about the room toward deepening
                  participant engagement through physical proximity and periodic touch. This change
                  to the facilitation protocol was carried over into Sites 2 and 3. The MT-BC
                  applied additional techniques of engagement typically used by music therapists who
                  work with older adults with dementias, such as the following: inserting
                  participants’ names into song lyrics; kneeling in front of a participant to elicit
                  and maximize eye contact; exaggerating affect; judiciously using strong musical
                  volume; altering tempo; using fermatas in strategic places within a song, briefly
                  improvising vocally in response to a resident’s musical offerings, and shortening
                  or extending a song by returning to a particular verse or refrain more than once
                     (<xref ref-type="bibr" rid="C2010">Cevasco, 2010</xref>; <xref ref-type="bibr"
                     rid="MHGHBD2012">McHugh et al., 2012</xref>; <xref ref-type="bibr" rid="Y2013"
                     >Young, 2013</xref>). As additional points of interest relative to the music,
                  the MT-BC occasionally spoke briefly about a song’s composer, the performer who
                  recorded or made the song famous, or the historical context of the song (e.g.,
                  Depression Era, WWII, popular musical). This sort of verbal introduction sometimes
                  led to residents offering their own ideas, memories, or associations relative to
                  the song material. These responses were encouraged when they occurred, just as
                  they would be in actual clinical situations. Verbal interactions with this
                  clientele were typically rather brief due to the cognitive limitations associated
                  with dementia.</p>
            </sec>
            <!-- sec lvl 4 end -->
         </sec>
         <!-- sec lvl 3 end -->
         <!-- sec lvl 3 begin -->
         <sec>
            <title>Post-Singing Data Collection</title>
            <!-- sec lvl 4 begin -->
            <sec>
               <title>Research Assistants </title>
               <p>Two undergraduate music therapy students volunteered and were paid to act as
                  research assistants for data collection. The students were oriented to the study
                  and trained in the use of the digital kitchen scale that would be employed. The
                  research assistants accompanied the PI to Site 1 for a “dry run” in order to
                  practice weighing food trays and recording data and to identify and correct any
                  errors in the data collection procedures. During actual sessions, the assistants
                  weighed the trays, plates and bowls of food, and drinking vessels, recorded the
                  data, and monitored participant responses during the meal for confounding events
                  (see below).</p>
            </sec>
            <!-- sec lvl 4 end -->
            <!-- sec lvl 4 begin -->
            <sec>
               <title>Data Collection Procedures </title>
               <p>Because of differences in site dining protocols, post-singing data collection was
                  handled similarly at Sites 1 and 2 but differently at Site 3 as follows. </p>
               <p>Sites 1 and 2: Participants’ meals were delivered no more than 10 minutes after
                  the conclusion of the singing session. Each resident’s meal arrived on an
                  individual tray, complete with entrées and side dishes with large and small
                  plastic covers, cups, flatware, and a napkin. One research assistant removed the
                  large entrée cover and weighed each tray on a digital kitchen scale: Accuweight
                  Digital Kitchen Scale - Electronic Meat/Food Weight Scale, 5 kg/11 lb. The
                  assistant then verbally reported the weight in grams to the second research
                  assistant, who recorded the number on a form prepared specifically for this
                  purpose. The tray was then served to the resident by the PI, a research assistant,
                  or site staff. Residents were monitored while eating by the PI and research
                  assistants for any confounding events, such as residents sharing food with one
                  another, residents taking food from another’s tray, dropped utensils, and requests
                  for additional food or beverage, which was then independently weighed and added to
                  that individual’s initial grams. Residents were determined to have finished their
                  meals when they got up of their own accord and left the table or the room. In many
                  cases, residents verbally indicated that they were done eating. Sometimes they
                  simply ceased eating or pushed their tray away but remained at the table; when
                  this occurred, the residents were asked to confirm that they were indeed finished
                  before their tray was removed. In general, most residents completed their meals
                  within 30 minutes. Prior to weighing each tray a second time, all efforts were
                  made to restore the tray to its original state, minus the food and drink that had
                  been consumed, so, for instance, dropped silverware and small plastic lids were
                  replaced. The second weighing occurred as the first, the entrée cover was
                  replaced, and the tray returned to the tray cart. </p>
               <p>Site 3: At the conclusion of the singing session in the living room area, staff
                  escorted the residents to their pre-assigned seats in the dining room. Unlike
                  Sites 1 and 2, resident’s meals were not served from a tray. Silverware and a
                  napkin were arranged when they arrived at their tables. At each seat were also a
                  cup of water and a cup of juice, each of a consistent volume pre-determined by
                  dietary staff and pre-weighed by the research assistants. The dining area at this
                  site had a kitchenette where all individual plates were prepared. In general,
                  residents were offered an entrée, a salad or fruit cup, a bowl of soup, and a
                  dessert at each meal. Kitchen staff prepared two different entrée plates for each
                  resident, displayed and described each plate to each resident, and residents
                  selected their choice of entrée. The research assistants weighed each entrée plate
                  once, then recorded grams for each resident’s selected entrée only. The same
                  half-cup ladle was used to measure all soup and fruit cups. An initial measurement
                  of each was taken and applied to all residents’ data. Likewise, the dessert that
                  was offered later in the meal was presumed to have been of consistent weight and
                  thus a model was weighed and this weight generalized to all residents’ data.</p>
               <p>As at Sites 1 and 2, the PI and research assistants monitored activity during the
                  meal in the Site 3 dining area, noting any potentially confounding incidents and
                  variables and discerning when residents had finished eating and their dishes were
                  ready to be reweighed. The research assistants used a pre-weighed tray to collect
                  each resident’s dishes, weighed the tray with these items, and then subtracted the
                  weight of the tray to arrive at the post-meal weight.</p>
            </sec>
            <!-- sec lvl 4 end -->
         </sec>
         <!-- sec lvl 3 end -->
      </sec>
      <!-- sec lvl 2 end -->
      <!-- sec lvl 2 begin -->
      <sec>
         <title>Results</title>
         <p>Two factors considered in the data analysis were location of the intervention (Site 1,
            Site 2, Site 3) and condition (baseline condition with usual care and treatment
            condition with singing). The response variable was the weight of average food intake in
            grams. The data used were the average grams consumed by residents per week, categorized
            by location and condition. An ANOVA was used to determine differences in average food
            intake for the three sites and for baseline and treatment conditions. Differences in
            average intake between pairs of sites were explored using Tukey’s method while t-tests
            were conducted to examine differences in food intake within each site for baseline and
            treatment conditions.</p>
         <p>The ANOVA yielded no significant results at the 0.05 significance level for average food
            intake by location, nor by condition.</p>
         <p/>
         <table-wrap id="tbl4">
            <label>Table 4</label>
            <!-- optional label and caption -->
            <caption>
               <p>Difference in average food intake by location and condition</p>
            </caption>
            <table>
               <thead>
                  <tr>
                     <th>Source</th>
                     <th>DF</th>
                     <th>Type III SS</th>
                     <th>Mean Square</th>
                     <th>F Value</th>
                     <th>Pr &gt; F</th>
                  </tr>
               </thead>
               <tbody>
                  <tr>
                     <td>Location</td>
                     <td>2</td>
                     <td>144791.85</td>
                     <td>72395.92</td>
                     <td>2.56</td>
                     <td>0.08</td>
                  </tr>
                  <tr>
                     <td>Type</td>
                     <td>1</td>
                     <td>34806.44</td>
                     <td>34806.44</td>
                     <td>1.23</td>
                     <td>0.27</td>
                  </tr>
                  <tr>
                     <td>Location*Type</td>
                     <td>2</td>
                     <td>70011.14</td>
                     <td>35005.57</td>
                     <td>1.24</td>
                     <td>0.29</td>
                  </tr>
               </tbody>
            </table>
         </table-wrap>
         <p>Tukey’s method was employed to investigate differences in the average intake between
            pairs of locations. In this comparison, averages were taken over all baseline and
            treatment days. Comparisons of mean intake between Site 1 and Site 2 (0.37), Site 2 and
            Site 3 (0.60), and Site 1 and Site 3 (0.06) were each insignificant at 0.05
               <italic>p</italic> value, however, the difference between Site 1 and Site 3 borders
            on significance and is worthy of closer inspection.</p>
         <p/>
         <table-wrap id="tbl5">
            <label>Table 5</label>
            <!-- optional label and caption -->
            <caption>
               <p>Difference in average intake between location pairs for baseline and treatment
                  days.</p>
            </caption>
            <table>
               <thead>
                  <tr>
                     <th>Location</th>
                     <th>Ave Grams LSMEAN</th>
                     <th>LSMEAN Number</th>
                  </tr>
               </thead>
               <tbody>
                  <tr>
                     <td>Site 3</td>
                     <td>488.87</td>
                     <td>1</td>
                  </tr>
                  <tr>
                     <td>Site 1</td>
                     <td>438.00</td>
                     <td>2</td>
                  </tr>
                  <tr>
                     <td>Site 2</td>
                     <td>399.63</td>
                     <td>3</td>
                  </tr>
               </tbody>
            </table>
         </table-wrap>
         <p/>
         <p>To investigate potential differences in average food consumption within each location
            depending on condition, t-tests between the baseline scores and the treatment scores
            were carried out with insignificant results for all three sites. However, an observation
            deserving careful consideration is that, contrary to the projected hypothesis, the mean
            intake at both Site 1 and Site 3 was actually <italic>greater</italic> for baseline days
            than for treatment days.</p>
         <table-wrap id="tbl6">
            <label>Table 6</label>
            <!-- optional label and caption -->
            <caption>
               <p>Difference in average intake within locations per type of session</p>
            </caption>
            <table>
               <thead>
                  <tr>
                     <th>Site 1:</th>
                     <th/>
                     <th/>
                  </tr>
                  <tr>
                     <th/>
                     <th>Baseline</th>
                     <th>Treatment</th>
                  </tr>
               </thead>
               <tbody>
                  <tr>
                     <td>Mean</td>
                     <td>478.56</td>
                     <td>397.44</td>
                  </tr>
                  <tr>
                     <td>Variance</td>
                     <td>25642.07</td>
                     <td>43346.11</td>
                  </tr>
                  <tr>
                     <td>Observations </td>
                     <td>20</td>
                     <td>20</td>
                  </tr>
                  <tr>
                     <td>Hypothesized Mean Difference</td>
                     <td>0</td>
                     <td/>
                  </tr>
                  <tr>
                     <td>df</td>
                     <td>36</td>
                     <td/>
                  </tr>
                  <tr>
                     <td>t Stat</td>
                     <td>1.38</td>
                     <td/>
                  </tr>
                  <tr>
                     <td>P(T&lt;=t) two-tail</td>
                     <td>0.17</td>
                     <td/>
                  </tr>
                  <tr>
                     <td>t Critical two-tail</td>
                     <td>2.02</td>
                     <td/>
                  </tr>
                  <tr>
                     <th>Site 2:</th>
                     <th/>
                     <th/>
                  </tr>
                  <tr>
                     <th/>
                     <th>Baseline</th>
                     <th>Treatment</th>
                  </tr>
                  <tr>
                     <td>Mean</td>
                     <td>380.91</td>
                     <td>418.35</td>
                  </tr>
                  <tr>
                     <td>Variance</td>
                     <td>22597.99</td>
                     <td>12683.41</td>
                  </tr>
                  <tr>
                     <td>Observations</td>
                     <td>16</td>
                     <td>16</td>
                  </tr>
                  <tr>
                     <td>Hypothesized Mean Difference</td>
                     <td>0</td>
                     <td/>
                  </tr>
                  <tr>
                     <td>df</td>
                     <td>28</td>
                     <td/>
                  </tr>
                  <tr>
                     <td>t Stat</td>
                     <td>-0.79</td>
                     <td/>
                  </tr>
                  <tr>
                     <td>P(T&lt;=t) two-tail</td>
                     <td>0.43</td>
                     <td/>
                  </tr>
                  <tr>
                     <td>t Critical two-tail</td>
                     <td>2.04</td>
                     <td/>
                  </tr>
                  <tr>
                     <th>Site 3:</th>
                     <th/>
                     <th/>
                  </tr>
                  <tr>
                     <th/>
                     <th>Baseline</th>
                     <th>Treatment</th>
                  </tr>
                  <tr>
                     <td>Mean</td>
                     <td>520.20</td>
                     <td>457.53</td>
                  </tr>
                  <tr>
                     <td>Variance</td>
                     <td>31975.65</td>
                     <td>29224.38</td>
                  </tr>
                  <tr>
                     <td>Observations</td>
                     <td>20</td>
                     <td>20</td>
                  </tr>
                  <tr>
                     <td>Hypothesized Mean Difference</td>
                     <td>0</td>
                     <td/>
                  </tr>
                  <tr>
                     <td>df</td>
                     <td>38</td>
                     <td/>
                  </tr>
                  <tr>
                     <td>t Stat</td>
                     <td>1.13</td>
                     <td/>
                  </tr>
                  <tr>
                     <td>P(T&lt;=t) two-tail</td>
                     <td>0.26</td>
                     <td/>
                  </tr>
                  <tr>
                     <td>t Critical two-tail</td>
                     <td>2.024</td>
                     <td/>
                  </tr>
               </tbody>
            </table>
         </table-wrap>
      </sec>
      <!-- sec lvl 2 end -->
      <!-- sec lvl 2 begin -->
      <sec>
         <title>Discussion</title>
         <p>Comparison of the average volume of food intake between baseline and treatment
            conditions revealed no significant differences for all participants; thus, the
            hypothesis that intake would increase with the music intervention was rejected. Most
            surprising was the finding that participants at Sites 1 and 3 actually consumed slightly
            more during baseline than treatment days. Although contrary to the researcher’s
            prediction, this finding is similar to one reported by <xref ref-type="bibr"
               rid="MHGHBD2012">McHugh and colleagues (2012)</xref>; they noted that control
            waitlist participants who were not engaged in group singing ate more food on average as
            compared to their peers who received the intervention. </p>
         <p>In response to these results, important questions arise: Why did average food intake
            increase slightly during the no-music, or baseline, condition? Furthermore, why did the
            increase occur at two sites but not the third? </p>
         <p>People take in food for many different reasons, one of which is appetite, or the desire
            to eat. We know that appetite is mediated by multiple environmental and intrapersonal
            factors, and that these “Factors affecting nutrition and hydration in people living with
            dementia are complex and inter-related” (<xref ref-type="bibr" rid="NNBOLB2016">Nell et
               al., 2016, p. E1</xref>). A discussion of
            certain relevant factors related to appetite follows in an attempt to uncover plausible
            answers to the aforementioned questions.</p>
         <!-- sec lvl 3 begin -->
         <sec>
            <title>Environmental Factors</title>
            <p>Much of the literature related to food intake of people with ADRD consistently
               advocates for a calm dining environment (<xref ref-type="bibr" rid="DL2015">Douglas
                  &amp; Lawrence, 2015</xref>; <xref ref-type="bibr" rid="PAGP2014">Prince et al.,
                  2014</xref>; <xref ref-type="bibr" rid="SWHKAS2018">Suma et al., 2018</xref>;
                  <xref ref-type="bibr" rid="VBCCJGHB2018">Volkert et al., 2018</xref>). In that
               auditory overstimulation and distractions were apparent during meals at all three
               sites (e.g., residents calling out in the dining area; loud conversations between
               staff, residents, and visitors; music “bleeding” in from adjacent rooms), it is
               possible that study participants experienced anxiety and confusion that contributed
               to changes in appetite and commensurate decreases in intake. That said, one might
               confidently dismiss this factor as related to study findings in that these sounds
               were not unique to either the treatment or baseline conditions; rather, the dining
               experience at all three sites was consistently characterized by stimuli of these
               types, frequencies, and intensities.</p>
         </sec>
         <!-- sec lvl 3 end -->
         <!-- sec lvl 3 begin -->
         <sec>
            <title>Intrapersonal Factors</title>
            <p>Certain intrapersonal attributes may cause variations in appetite and thus should be
               examined for potential explanatory power. These include the participants’ diagnostic
               profiles, food preferences, and physical states.</p>
            <!-- sec lvl 4 begin -->
            <sec>
               <title>Diagnostic Profiles </title>
               <p>All study participants carried a diagnosis of dementia; the specific type for each
                  individual was not known to the PI. It is presumed that some participants had
                  probable Alzheimer’s type, while others may have had Parkinson’s, Lewey bodies,
                  vascular, or frontotemporal types. In contrast to a decrease in appetite
                  characteristic of most forms of dementia, increased appetite among those with
                  frontotemporal dementia is common and is, in fact, a diagnostic criterion for this
                  dementia variant (<xref ref-type="bibr" rid="AIKKBSP2014">Ahmed et al.,
                     2014</xref>; <xref ref-type="bibr" rid="I2002">Ikeda et al., 2002</xref>; <xref
                     ref-type="bibr" rid="MLS2008">Mendez et al., 2008</xref>). Individuals with
                  frontotemporal dementia often exhibit increased appetite, alterations in food
                  preferences, cravings for carbohydrates and sweet foods, certain food obsessions,
                  and weight gain (<xref ref-type="bibr" rid="MKC2005">McKieth &amp; Cummings,
                     2005</xref>; <xref ref-type="bibr" rid="MLS2008">Mendez et al., 2008</xref>).
                  Unknown to the PI, there may have been individuals with frontotemporal dementia
                  among the participants. However, increased consumption likely would be
                  consistently manifested during meals, and fluctuations across baseline and
                  treatment conditions thus would not be anticipated.</p>
            </sec>
            <!-- sec lvl 4 end -->
            <!-- sec lvl 4 begin -->
            <sec>
               <title>Personal Preferences </title>
               <p>Personal food preferences and perceptions of food quality (i.e., appearance,
                  taste, smell, temperature, and texture) also might be implicated in a change in
                  appetite, leading to decreased intake (<xref ref-type="bibr" rid="NNBOLB2016">Nell
                     et al., 2016</xref>). Yet, in that food options and fluctuations in meal
                  quality were most likely relatively stable over time—that is, presuming
                  consistency in dietetics and food preparation staff and food products at the
                  sites—, it could be assumed that the influence of personal preferences among
                  participants “averaged out” over baseline and treatment conditions.</p>
            </sec>
            <!-- sec lvl 4 end -->
            <!-- sec lvl 4 begin -->
            <sec>
               <title>Physical States </title>
               <p>Appetite varies based, in part, on one’s current physical condition (<xref
                     ref-type="bibr" rid="PAGP2014">Prince et al., 2014</xref>). The impact of
                  medication, disease, temporary illness, and so forth is difficult to discern, but
                  one could assume that those participants who did not feel well enough to
                  participate in the singing sessions or the mid-day meal (for whatever reason)
                  would have self-selected out of the treatment session. In fact, this happened on
                  rare occasions. It is also possible, however, that a participant might have felt
                  well enough to attend the singing session but felt worse over time, such that they
                  ate less than usual when their meal was served. No participants verbalized feeling
                  ill just prior to or during the meal, but this does not mean that this situation
                  did not occur. Even if it had, however, an isolated case or handful of cases over
                  the duration of the study would likely not have had a meaningful impact on average
                  consumption data. </p>
            </sec>
            <!-- sec lvl 4 end -->
         </sec>
         <!-- sec lvl 3 end -->
         <!-- sec lvl 3 begin -->
         <sec>
            <title>Music, Reward, and Neurobiology</title>
            <p>Pleasurable experiences have been shown to lead to the release of certain
               neurotransmitters including serotonin, which is produced in the nucleus accumbens
               (NAc) and hypothalamic regions of the brain (<xref ref-type="bibr" rid="CL2013"
                  >Chanda &amp; Levitin, 2013</xref>; <xref ref-type="bibr" rid="M2015">Mavridis,
                  2015</xref>; <xref ref-type="bibr" rid="ML2005">Menon &amp; Levitin, 2005</xref>;
                  <xref ref-type="bibr" rid="T1997">Taylor, 1997</xref>). In fact, Mavridis referred
               to the nucleus accumbens as, “the most important pleasure center of the human brain
               (dominates the reward system)…” (<xref ref-type="bibr" rid="M2015">2015, p.
                  121</xref>), and reported that “…reward value for music can be coded by activity
               levels in the NAc, whose functional connectivity with auditory and frontal areas
               increases as a function of increasing musical reward” (p. 121). Thus, engaging in
               inter-musical and inter-personal processes inherent in group singing with an MT-BC
               can be viewed as emotionally and socially rewarding on a neurological level (<xref
                  ref-type="bibr" rid="AS2013">Altenmüller &amp; Schlaug, 2013</xref>; <xref
                  ref-type="bibr" rid="CL2013">Chanda &amp; Levitin, 2013</xref>; <xref
                  ref-type="bibr" rid="ES2000">Evers &amp; Suhr, 2000</xref>; <xref ref-type="bibr"
                  rid="M2015">Mavridis, 2015</xref>). Altenmüller and Schlaug (<xref ref-type="bibr"
                  rid="AS2013">2013</xref>) write,</p>
            <disp-quote>
               <p>… listening to music and making music provokes motions and emotions, increases
                  between-subject communications and interactions, and—mediated via neurohormones
                  such as serotonin and dopamine—is experienced as a joyous and rewarding activity
                  through activity changes in amygdala, ventral striatum, and other components of
                  the limbic system (p. 11). </p>
            </disp-quote>
            <p>In studying the “neural mechanisms underlying intensely pleasurable emotional
               responses to music,” Blood and Zatorre (<xref ref-type="bibr" rid="BZ2001"
                  >2001</xref>) asked university students to listen to preferred and nonpreferred
               recorded musical selections (p. 11818).
               Positron emission tomography (PET) scans of brain activity revealed that pleasurable
               experiences of music were correlated with increased activity in the nucleus
               accumbens. Although these researchers did not specifically measure the presence and
               volume of serotonin, one might conjecture that increased activity in the nucleus
               accumbens may have triggered such production, as highlighted by Altenmüller and
               Schlaug (<xref ref-type="bibr" rid="AS2013">2013</xref>). In fact, Blood and
               Zatorre note that activity in the region of the nucleus accumbens is directly related
               to processes of neural reward and is “known to involve dopamine and opioid systems,
               as well as other neurotransmitters” (p.
                  11822).</p>
            <p>In what seems to be a rigorously designed and executed trial, Evers and Suhr (<xref
                  ref-type="bibr" rid="ES2000">2000</xref>) found a significant correlation
               between healthy adult participants’ perceptions of music listening experiences as
               either “pleasant” or “unpleasant,” and report an increase of blood platelet serotonin
               levels for both, with pleasant music yielding significantly higher levels compared to
               unpleasant music. Menon and Levitin (<xref ref-type="bibr" rid="ML2005"
               >2005</xref>) used functional magnetic resonance imaging (fMRI) to examine
               connectivity between various brain structures involved in neurologic reward to music
               listening in adult non-musicians: the nucleus accumbens (NAc), the ventral tegmental
               area (VTA), and the hypothalamus. Participants listened to a random series of
               classical music segments in typical and “scrambled” forms in 24-second episodes.
               Results for the segments considered pleasant versus not pleasant (i.e., scrambled)
               showed significant activation of the structures in question with significant neural
               connectivity between them and with indication of a recognizable pattern of
               activation. As in the Blood and Zatorre (<xref ref-type="bibr" rid="BZ2001"
                  >2001</xref>) study, Menon and Levitin did not measure the presence and volume of
               serotonin, yet it is plausible that release of serotonin would, in fact, occur due to
               stimulation of the NAc related to the experience of a pleasant, rewarding musical
               stimulus.</p>
            <p>The relationship between musical engagement as a rewarding activity with concurrent
               serotonin production is relevant to the present discussion primarily because the
               function of serotonin as an appetite suppressant is well-documented in the scientific
               literature (<xref ref-type="bibr" rid="BH1998">Blundell &amp; Halford, 1998</xref>;
                  <xref ref-type="bibr" rid="WW1995">Wurtman &amp; Wurtman, 1995</xref>, <xref
                  ref-type="bibr" rid="WW2018">2018</xref>). Liebowitz and Alexander (<xref
                  ref-type="bibr" rid="LA1998">1998</xref>) reviewed research on the impact of
               hypothalamic serotonin on appetite. The authors explain that stimulation of serotonin
               receptors of the hypothalamus “…reduce food intake and weight gain and increase
               energy expenditure, both in animals and in humans” (p. 851). These authors also argue
               that pre-meal consumption of carbohydrates “…enhances the synthesis and release of
               hypothalamic 5-HT [serotonin], which in turn serves to control the size of
               carbohydrate-rich meals” (p. 851). Wurtman and Wurtman (<xref ref-type="bibr"
                  rid="WW1995">1995</xref>, <xref ref-type="bibr" rid="WW2018">2018</xref>)
               concur with the relationship between carbohydrates and serotonin release and support
               the notion that, regardless of the manner in which serotonin is produced, it is
               influential in regulating appetite and eating behavior. </p>
            <p>It seems that as far back as 1998, the scientific evidence for the impact of
               serotonin as an appetite suppressant was considered conclusive. Blundell and
               Halford’s (<xref ref-type="bibr" rid="BH1998">1998</xref>) review of 20 years of
               research on drugs designed to suppress appetite by either stimulating serotonin
               production or inhibiting serotonin reuptake reported unequivocally that, “A
               consistent pattern of reduction in hunger motivation and energy intake is seen in
               human studies with a variety of serotonergic agents” (p. 474). In fact, it is
               difficult to find current research designed to reinforce or refute this now
               established relationship, and researchers have moved on to focus on clinical
               applications of serotonin’s role in health concerns such as depression, suicidality,
               and obesity (<xref ref-type="bibr" rid="WW2018">Wurtman &amp; Wurtman,
               2018</xref>).</p>
            <p>In that music engagement stimulates serotonin production and serotonin suppresses
               appetite, it is possible that study participants at sites 1 and 3 experienced these
               effects—that is, adequate stimulation of serotonin by engaging in pleasurable music
               experiences resulted in diminished appetite during the subsequent meal, thereby
               explaining the lower average food intake during treatment weeks. </p>
         </sec>
         <!-- sec lvl 3 end -->
         <!-- sec lvl 3 begin -->
         <sec>
            <title>Inconsistencies </title>
            <p>Unlike participants at Sites 1 and 3, mean food intake on singing days for
               participants at Site 2 was greater than baseline days, indicating potentially less
               serotonin release for these individuals. Two interrelated explanatory
               factors are most relevant: the environment and the MT-BCs who provided singing
               engagement. First, compared to the treatment environments at Sites 1 and 3 (and as
               noted in Table 2 above), the dining tables at which Site 2 participants sat were
               widely dispersed in the multi-purpose room. The MT-BCs reported that this made it
               difficult to effectively use close proximity as a technique for enhancing engagement
               and promoting relationship. Secondly, Site 2 was the only location wherein three
               different MT-BCs provided singing engagement during treatment days. This unavoidable
               variation in facilitators may also have adversely affected the potential for
               therapeutic relationship to develop between the participants and facilitators, even
               on the very basic level of participants experiencing familiarity with the MT-BCs’
               physical appearance. It may be the case, therefore, that the musical experiences for
               Site 2 participants on treatment days were insufficient for stimulating serotonin
               production with commensurate limited change in food intake status versus baseline
               days.</p>
            <p/>
            <p>Lastly, results showed that participants at Site 3 consumed, on average, more grams
               of food and beverage than those at Site 1; the difference amounted to approximately
               89 grams. Differences in the environment and meal processes between Sites 1 and 3 might account for Site 3 participants’ more productive eating. For example, from
               the PI’s perspective, the environment of Site 1 was considerably more stimulating
               than Site 3 in terms of the sheer volume and variety of sounds from various sources
               as well as a higher level of physical activity occurring in and around the dining
               space by non-participant residents and staff. This was largely due to the fact that
               participants at Site 1 were not isolated in their own memory support unit, as were
               the Site 3 participants, but rather lived on a floor of the facility among many other
               residents who shared the space. With regard to meal processes, residents at Site 3
               were consistently offered a choice of entrée, carried out by staff presenting two
               different plates of food for the participants to see, ask questions about, and
               thereby choose their meal. Thus, it might simply be the case that having a choice in
               the dining moment based on seeing and, perhaps, smelling the food stimulated
               appetite, more productive eating, and therefore greater average intake. </p>
         </sec>
         <!-- sec lvl 3 end -->
         <!-- sec lvl 3 begin -->
         <sec>
            <title>Limitations and Recommendations</title>
            <p>Given the varied environments encountered and the fairly small sample size in this
               study, generalization of the findings must be considered carefully. Whereas great
               care was exercised with regard to song choices and stylistic preparation, differences
               between the appearance, vocal timbre, and interpersonal approaches of the three music
               therapists may have differentially impacted the way the residents perceived and
               engaged in the singing process, and therefore their later behavior during mealtime.
               Consistency of a single therapist, with the related potential for developing and
               sustaining stronger relationships with the residents, may induce different
               results.</p>
            <p>Assuming the potential adverse relationship between enjoyable music engagement that
               stimulates serotonin production and the proven appetite suppression characteristics
               of serotonin, it seems prudent to recommend, although cautiously, that care be
               exercised regarding the timing of active music engagement and mealtimes for persons
               with dementia whose health status may include nutritional complications. How long it
               takes for the serotonin production and metabolism that may occur due to enjoyable
               music engagement is unknown. In fact, questions regarding typical processing of
               serotonin remain as they are multifaceted and require complex mathematical formulas
               that are still under investigation and development (<xref ref-type="bibr"
                  rid="BNR2010">Best et al., 2010</xref>). Given that serotonergic processes are
               constantly occurring in the brain, and without evidence to the contrary, 30­ to 60
               minutes between active music engagement and the start of a meal seems a reasonable
               recommendation. Whereas this recommendation may appear problematic or inconvenient
               for music therapists, it is nonetheless important to consider that music has both the
               potential for promoting health and well-being, but also to cause harm or detrimental
               effects (<xref ref-type="bibr" rid="G2008">Gardstrom, 2008</xref>; <xref
                  ref-type="bibr" rid="HG2019">Hiller &amp; Gardstrom, 2019</xref>). Careful
               attention to scheduling of music therapy sessions for individuals with dementia and
               nutritional challenges may ameliorate concerns in this regard.</p>
            <p>The intent of the present study was to discern whether or not singing would stimulate
               food intake. It must be noted, however, that participants’ musical involvement
               varied: Not all participants vocalized, in spite of the MT-BC’s consistent use of
               techniques of engagement that have been documented in the literature as useful and
               effective in the treatment of older adults with dementia (e.g., use of participants’ names, proximity, and alterations to musical elements
                  and form; <xref ref-type="bibr" rid="C2010">Cevasco, 2010</xref>; <xref
                  ref-type="bibr" rid="MHGHBD2012">McHugh et al., 2012</xref>; <xref ref-type="bibr"
                  rid="Y2013">Young, 2013</xref>). While certain individuals in the groups were
               prone to fairly consistent singing or inaudible mouthing of the words in “real time,”
               others sang or mouthed words only sporadically during the sessions. On average,
               across all sites, approximately one third of participants fit into these two
               categories. The balance of participants engaged more as listeners—watching the MT-BC
               as she moved about the space, tapping their feet or hands, and smiling in response to
               certain songs and verbal comments. The implication of these observations is that
               findings might be interpreted as applying not only to the experience of active
               engagement through singing but also to the experience of active engagement through
               listening. Researchers might consider tracking individual participants’ level of
               engagement during music-based treatment episodes through videotape or observations of
               trained observers; this could identify relationships between an individual’s level of
               musical engagement and subsequent manifestations of symptomology or healthy sorts of
               responses. Future researchers may also wish to address the concept of engagement—what
               it feels like for a participant and what it looks like for an observer—and factors that
               may be involved at different levels of engagement. Interpretivist (i.e., qualitative)
               research may bring light to the feeling-full and motivational nature of singing
               engagement for both residents and therapists as well as ground theorizing in the
               phenomenon of singing engagement with others. Lastly, future researchers might
               benefit from tracking the specific dementia diagnoses of participants, as
               differential symptomology surrounding the various types have a bearing on dietary
               needs and eating habits. </p>
         </sec>
         <!-- sec lvl 3 end -->
      </sec>
      <!-- sec lvl 2 end -->
      <!-- sec lvl 2 begin -->
      <sec>
         <title>Acknowledgements</title>
         <p>This research was made possible through the Research Fund Award from the Great Lakes
            Region of the American Music Therapy Association and a Summer Research Fellowship Grant
            and Grant-in-Aid from the University of Dayton Research Institute. </p>
         <p>This study required the help of a cadre of talented and caring individuals. I wish to
            acknowledge with much gratitude the efforts of music therapists Courtney Belt, Kendra
            Carson, and Beth Schulz for providing rich and sensitive musicking experiences for the
            participants, research assistants Maggie Ford and Tori Obermeier for their acute and
            nimble attention to detail in highly challenging data collection processes, Dr. Wiebke
            Diestelkamp for statistical advice and analysis, Dr. Susan Gardstrom for method
            suggestions, assistance in data interpretation, and editorial acumen, and facility
            administrators who graciously provided us with access to their residents for this study:
            Terry Carr, Lisa Hamilton, and Ellen Rice.</p>
      </sec>
      <!-- sec lvl 2 end -->
      <!-- sec lvl 2 begin -->
      <sec>
         <title>About the author</title>
         <p>James Hiller, PhD, MT-BC is Assistant Professor and Coordinator of Undergraduate Music
            Therapy at the University of Dayton. Jim earned his PhD from Temple University in
            Philadelphia with Drs. Kenneth Bruscia and Cheryl Dileo. His scholarship has addressed
            theoretical foundations of music therapy practice, research epistemologies,
            intersections of music and emotion, impacts of songs in music psychotherapy, clinical
            improvisation, and issues in music therapy education and training. In 2020, Jim received
            the Scholarly Activity Award from the Great Lakes Region of the American Music Therapy
            Association.</p>
      </sec>
      <!-- sec lvl 2 end -->
   </body>
   <back>
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