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  <front>
    <journal-meta>
      <journal-id journal-id-type="pmc">JRMS</journal-id>
      <journal-id journal-id-type="pubmed">J Res Med Sci</journal-id>
      <journal-id journal-id-type="publisher-id">Journal of Research in Medical Sciences</journal-id>
      <journal-title>Journal of Research in Medical Sciences</journal-title>
      <issn pub-type="ppub">1735-1995</issn>
	<issn pub-type="epub">1735-7136</issn>
      <publisher>
        <publisher-name>Medknow Publications Pvt Ltd</publisher-name>
	<publisher-loc>India</publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">JRMS-18-15</article-id>
      <article-id pub-id-type="pmid">23961277</article-id>
      <article-categories>
	<subj-group subj-group-type="headings">
		<subject>Original Article</subject>
	</subj-group>
      </article-categories>
      <title-group>
        <article-title>Malnutrition is associated with depression in rural elderly population</article-title>
      </title-group>
	<contrib-group>
<contrib contrib-type="author">
<name><surname>Vafaei</surname>
<given-names>Zamane</given-names></name>
<xref ref-type="aff" rid="aff1"/></contrib>
<contrib contrib-type="author">
<name><surname>Mokhtari</surname>
<given-names>Habibollah</given-names></name>
<xref ref-type="aff" rid="aff2"/></contrib>
<contrib contrib-type="author">
<name><surname>Sadooghi</surname>
<given-names>Zahra</given-names></name>
<xref ref-type="aff" rid="aff3"/></contrib>
<contrib contrib-type="author">
<name><surname>Meamar</surname>
<given-names>Rokhsareh</given-names></name>
<xref ref-type="aff" rid="aff4"/></contrib>
<contrib contrib-type="author">
<name><surname>Chitsaz</surname>
<given-names>Ahmad</given-names></name>
<xref ref-type="aff" rid="aff5"/></contrib>
<contrib contrib-type="author">
<name><surname>Moeini</surname>
<given-names>Mina</given-names></name>
<xref ref-type="aff" rid="aff6"/><xref ref-type="corresp" rid="cor1"/></contrib>
</contrib-group>
<aff id="aff1">Department of Epidemiology, Isfahan university of Medical Science, Isfahan, Iran</aff><aff id="aff2">Cardiovascular research institute, Isfahan university of Medical Science, Isfahan, Iran</aff><aff id="aff3">Department of Public Health, Isfahan University of Medical Sciences, Isfahan, Iran</aff><aff id="aff4">Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences; Department of Medical Science, Islamic Azad University, Najafabad Branch, Isfahan, Iran</aff><aff id="aff5">Isfahan Neurosciences Research Center; Department of Neurology, Isfahan University of Medical Sciences Isfahan, Iran</aff><aff id="aff6">Cardiovascular research institute, Isfahan university of Medical Science, Isfahan, Iran</aff>

      <author-notes>
	<corresp id="cor1"><bold>Address for correspondence:</bold>Mina Moeini, Physician, Isfahan university of Medical Science, Isfahan, Iran <email xlink:href="drm_moeini@yahoo.com">drm_moeini@yahoo.com</email></corresp>

      </author-notes>
      <pub-date pub-type="ppub">
        <season>March</season>
        <year>2013</year>
      </pub-date>
      <volume>18</volume>
      <issue>13</issue>
      <fpage>15</fpage>
      <lpage>19</lpage>   
      
<history>
<date date-type="received"><day>8</day><month>1</month><year>2013</year></date>

<date date-type="rev-recd"><day>20</day><month>1</month><year>2013</year></date>
</history>

      <permissions>
        <copyright-statement>Copyright: &#x000a9; Journal of Research in Medical Sciences</copyright-statement>
        <copyright-year>2013</copyright-year>
        <license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by-nc-sa/3.0"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</p>
</license>
      </permissions>
      <abstract><sec id="st1"><title>Background:</title><p> Aging induces physiological changes and affects all of organs. Nutritional status and mental health deteriorate with aging. As malnutrition and depression are main problem in elderly this study was performed to assess the association between malnutrition and depression among rural elderly. <sec id="st1"><title>Materials and Methods:</title><p> Three hundred and seventy rural elderly aged over 60 years were examined in a cross-sectional study by systematic sampling method and using mini nutritional assessment (MNA), which is a standard questionnaire for evaluating nutrition status. Depression was evaluated by a validated questionnaire in the elderly. Correlation between Socio-demographic characteristic, diseases, and nutrition status was obtained by t-test, Chi-square test and logistic regression in elderly population. <sec id="st1"><title>Results:</title><p> Mean &#177; SD age was 70.6 &#177; 7.3 years. Frequency of malnutrition was similar in both genders. According to MNA, 3.8&#x0025; of subjects suffered from malnutrition, 32.7&#x0025; were at risk of malnutrition and 63.5&#x0025; were well-nourished. Nutrition status correlated with body mass index (P = 0.028) and depression (P = 0.001). The risk of severe depression in patients with malnutrition was 15.5 times higher than non-depressed persons (odd ratio: 15.5; 95&#x0025; CI: 2.9-82.5). <sec id="st1"><title>Conclusion:</title><p> Depression could act as a powerful risk for malnutrition in elderly population that it should be controlled by physicians.</p>
</sec>
<sec id="st2"><title>Materials and Methods:</title><p> Three hundred and seventy rural elderly aged over 60 years were examined in a cross-sectional study by systematic sampling method and using mini nutritional assessment (MNA), which is a standard questionnaire for evaluating nutrition status. Depression was evaluated by a validated questionnaire in the elderly. Correlation between Socio-demographic characteristic, diseases, and nutrition status was obtained by t-test, Chi-square test and logistic regression in elderly population. <sec id="st2"><title>Results:</title><p> Mean &#177; SD age was 70.6 &#177; 7.3 years. Frequency of malnutrition was similar in both genders. According to MNA, 3.8&#x0025; of subjects suffered from malnutrition, 32.7&#x0025; were at risk of malnutrition and 63.5&#x0025; were well-nourished. Nutrition status correlated with body mass index (P = 0.028) and depression (P = 0.001). The risk of severe depression in patients with malnutrition was 15.5 times higher than non-depressed persons (odd ratio: 15.5; 95&#x0025; CI: 2.9-82.5). <sec id="st2"><title>Conclusion:</title><p> Depression could act as a powerful risk for malnutrition in elderly population that it should be controlled by physicians.</p>
</sec>
<sec id="st3"><title>Results:</title><p> Mean &#177; SD age was 70.6 &#177; 7.3 years. Frequency of malnutrition was similar in both genders. According to MNA, 3.8&#x0025; of subjects suffered from malnutrition, 32.7&#x0025; were at risk of malnutrition and 63.5&#x0025; were well-nourished. Nutrition status correlated with body mass index (P = 0.028) and depression (P = 0.001). The risk of severe depression in patients with malnutrition was 15.5 times higher than non-depressed persons (odd ratio: 15.5; 95&#x0025; CI: 2.9-82.5). <sec id="st3"><title>Conclusion:</title><p> Depression could act as a powerful risk for malnutrition in elderly population that it should be controlled by physicians.</p>
</sec>
<sec id="st4"><title>Conclusion:</title><p> Depression could act as a powerful risk for malnutrition in elderly population that it should be controlled by physicians.</p>
</sec>
</abstract>
      <kwd-group><kwd>Depression</kwd>
<kwd>elderly</kwd>
<kwd>malnutrition</kwd>
<kwd>mini nutritional assessment</kwd>
</kwd-group>	
      
    </article-meta>
  </front>
  <body>
	<sec><title/>
</sec><sec><title>Introduction</title><p> </p>

<p>Malnutrition is known as a common disorder, which is probably under-recognized. It is defined as a state of nutrition in which a deficiency or excess of energy, protein and other nutrients affects shape, size, composition and function of body and may lead to clinical disease. <sup><xref ref-type="bibr" rid="ref1">1</xref></sup> In older ages, it may lead to general weakness, exacerbate previous diseases, alter their prognosis or increase their mortality. <sup><xref ref-type="bibr" rid="ref2">2</xref></sup></p>

<p> Malnutrition may occur due to such different causes as dietary deficiencies, chewing or swallowing problems, gastrointestinal or endocrine disorders, loss of taste or smell, decreased appetite, consuming different kinds of drugs, immobility, social isolation, inflammatory diseases, chronic diseases, alcoholism, malignancies and cognitive disorder especially depression. <sup><xref ref-type="bibr" rid="ref3">3</xref></sup>,<sup><xref ref-type="bibr" rid="ref4">4</xref></sup>,<sup><xref ref-type="bibr" rid="ref5">5</xref></sup>,<sup><xref ref-type="bibr" rid="ref6">6</xref></sup>,<sup><xref ref-type="bibr" rid="ref7">7</xref></sup>,<sup><xref ref-type="bibr" rid="ref8">8</xref></sup>,<sup><xref ref-type="bibr" rid="ref9">9</xref></sup>,<sup><xref ref-type="bibr" rid="ref10">10</xref></sup>,<sup><xref ref-type="bibr" rid="ref11">11</xref></sup></p>

<p> Just like malnutrition, depression common in geriatrics <sup><xref ref-type="bibr" rid="ref12">12</xref></sup> and as a pre-disposing factor for mortality and morbidity in this group. <sup><xref ref-type="bibr" rid="ref13">13</xref></sup></p>

<p> Body and mental status have a powerful relationship so lowering of neurotransmitters cause the decrease of mental flexibility and this can lend to important symptom such as: Functional limitation, anorexia and weight loss and malnutrition. <sup><xref ref-type="bibr" rid="ref8">8</xref></sup>,<sup><xref ref-type="bibr" rid="ref14">14</xref></sup>,<sup><xref ref-type="bibr" rid="ref15">15</xref></sup> Malnutrition and psychiatric problem are among prevalent in rural elderly people and depression often has seen in malnourished elderly. <sup><xref ref-type="bibr" rid="ref16">16</xref></sup>,<sup><xref ref-type="bibr" rid="ref17">17</xref></sup>,<sup><xref ref-type="bibr" rid="ref18">18</xref></sup>,<sup><xref ref-type="bibr" rid="ref19">19</xref></sup> In this study, we therefore, decided to investigate the association of between malnutrition and depression in rural elderly.</p>


</sec><sec sec-type='materials|methods'><title>Materials and Methods</title><p> </p>

<p>This was a cross-sectional study (2011-2012) conducted on 370 elderly living in 36 rural in Isfahan. The older adults were selected by a systematic sampling method. Subjects older than 60 years old entered the study. The data was collected using a questionnaire. The questionnaire consisted of three parts: The first part included socio-demographic characteristic (Age, Sex, level of education, lifestyle, Independent state, Job, type of home) and history of diseases (Hypertension, Diabetic, Osteoporosis, Hyperlipidemia, Arthritis, Cancer, Depression), which were obtained by self-report and Anthropometric dimensions including calf circumference, mid-arm circumference, weight and height were measured. Body mass index (BMI) was calculated by dividing weight (in Kg) by the square of height (in m); the second part included questions to assess depression, which has been validated in Iran, <sup><xref ref-type="bibr" rid="ref20">20</xref></sup> The questionnaire was a tool that can be used to screen the elderly patient at risk of depression and had 15 questions that there were for each question, Answer yes and no, Subjects were classified normal (score 1-4), Mild depression (score 5-9), Severe depression (score 10-15) and the third part consisted of mini nutritional assessment (MNA), which is a standard questionnaire for evaluating nutrition status: <sup><xref ref-type="bibr" rid="ref20">20</xref></sup> Malnourished (score &lt;17), at risk of malnutrition (score 17-23.5) and well-nourished (score &gt;23.5).</p>

<p>The data were analyzed by SPSS <sup><xref ref-type="bibr" rid="ref16">16</xref></sup> using descriptive statistics, t-test, Chi-square test and logistic regression. P value of &lt; 0.05 was taken to define statistical significance. The study was approved by the ethical research committee of Isfahan University of Medical Sciences and this study performed in rural because some previous researchers found that malnutrition and mental problems (depression) were more common in rural than urban areas in Iran. <sup><xref ref-type="bibr" rid="ref21">21</xref></sup></p>


</sec><sec><title>Results</title><p> </p>

<p>Mean age of the subjects was 70.6 &#177; 7.3 years ( 60-92 years). Prevalence of depression was 50.3&#x0025; (female 54 .6&#x0025;, male 42.3&#x0025;) that 36.8&#x0025; had mild depression and 13.5&#x0025; had severe depression. Mild depression was higher in female than male 65.4&#x0025; versus 34.6&#x0025;, respectively and this correlation in severe depression was significant (P &lt; 0.005). Furthermore, there is a significant relationship between depression and job so that unemployed elderly more suffer depression than others (P &lt; 0.002) whereas age level education and life-style had no influence.</p>

<p>According to MNA, 3.8&#x0025; of subjects suffered from malnutrition, 32.7&#x0025; were at risk of malnutrition and 63.5&#x0025; were well-nourished. Malnutrition was not associated with socio-demographic characteristics but it was significantly correlated with depression and BMI <xref ref-type="table" rid="T1">Table 1</xref>. The risk of malnutrition in patients with severe depression was 15.5 times higher than non-depressed persons (OR: 15.5; 95&#x0025; CI 2.9-82.5) <xref ref-type="table" rid="T2">Table 2</xref>.{Table 1}{Table 2}</p>


</sec><sec><title>Discussion</title><p> </p>

<p>In the current study, the prevalence of malnutrition and its relationship with influencing factors in elderly were assessed. The prevalence of malnutrition in our study was 3.8&#x0025;, similar to the results obtained by Eshaghi et al., but this measurement was 12.8&#x0025; in the study of Afkhami et al. and 7&#x0025; in the study of Rodriguez et al. which was higher than our study. <sup><xref ref-type="bibr" rid="ref22">22</xref></sup>,<sup><xref ref-type="bibr" rid="ref23">23</xref></sup>,<sup><xref ref-type="bibr" rid="ref24">24</xref></sup> This difference may be explained that these studies were done in institutionalized older adult and may be rate of malnutrition was higher in this group.</p>

<p>Malnutrition and depression have emerged as important problem among elderly. <sup><xref ref-type="bibr" rid="ref12">12</xref></sup> In our study, the older adult with depression are prone of malnutrition (16.4&#x0025;). Some of study identified an independent association between depression and malnutrition. <sup><xref ref-type="bibr" rid="ref11">11</xref></sup>,<sup><xref ref-type="bibr" rid="ref22">22</xref></sup>,<sup><xref ref-type="bibr" rid="ref25">25</xref></sup>,<sup><xref ref-type="bibr" rid="ref26">26</xref></sup> Well-being is necessary for maintenance of best nutritional status. <sup><xref ref-type="bibr" rid="ref27">27</xref></sup> On the other hand, geriatrics with regular eating program have better psychiatric performance. <sup><xref ref-type="bibr" rid="ref28">28</xref></sup> Thompson et al. found a sign of depression in elderly is change in eating behavior <sup><xref ref-type="bibr" rid="ref29">29</xref></sup>,<sup><xref ref-type="bibr" rid="ref30">30</xref></sup> and treatment of depression caused a decreased of weight loss in elderly. <sup><xref ref-type="bibr" rid="ref31">31</xref></sup> Probably depression influences the appetite, food in-take and reduced energy in-take and this can lead to weight loss and increase the risk of malnutrition. Prevalence of depression in our study was 50.3&#x0025; (female 54.6&#x0025;, male 42.3&#x0025;) and female had more depression than male this gender difference may to some extend be explained by an under-reporting of depressive symptoms by male individuals. There were significant relationship between depression and job so that unemployed elderly had more suffer depression than employ people. Mokhber et al. found depression in geriatric with personal income was lower. <sup><xref ref-type="bibr" rid="ref21">21</xref></sup> In present study, all of the older adult were low schooling and most of them low socio-economic (unemployed) level, probably these induce to depression and malnutrition.</p>

<p>In the present study, malnutrition significantly was higher in elderly with normal BMI. Some other studies have described the relationship between BMI and malnutrition. <sup><xref ref-type="bibr" rid="ref23">23</xref></sup>,<sup><xref ref-type="bibr" rid="ref32">32</xref></sup> It was reported that with advancing age, lean body mass decreases and the amount of body fat generally increases until age 70 after which it decreases again. <sup><xref ref-type="bibr" rid="ref33">33</xref></sup>,<sup><xref ref-type="bibr" rid="ref34">34</xref></sup> Thus, it seems likely that the relationship between body fatness and BMI changes with advancing age.</p>

<p>In our study, the effect of age on malnutrition was not significant. This result was against other studies in which age affected the nutritional status in elderly. <sup><xref ref-type="bibr" rid="ref6">6</xref></sup>,<sup><xref ref-type="bibr" rid="ref26">26</xref></sup>,<sup><xref ref-type="bibr" rid="ref35">35</xref></sup>,<sup><xref ref-type="bibr" rid="ref36">36</xref></sup> Generally in this study, it was demonstrated that the prevalence of malnutrition in females was not higher than males. Rodriguez et al. reported similar results; however, in some other studies women have been suffered from malnutrition. <sup><xref ref-type="bibr" rid="ref26">26</xref></sup>,<sup><xref ref-type="bibr" rid="ref35">35</xref></sup>,<sup><xref ref-type="bibr" rid="ref37">37</xref></sup> Difference between our result and other study maybe return to our small sample size.</p>

<p>We did not found significant correlation between the life-style and malnutrition in elderly. Elderly who live alone are at higher risk of malnutrition than others. <sup><xref ref-type="bibr" rid="ref24">24</xref></sup> This discrepancy could explain by social, cultural or economic factors in our population that most of the old subjects are living with our children.</p>

<p>In this study, 1.6&#x0025; of elderly was functionally dependent and was not different from independent ones regarding the state of nutrition. Morely et al. and Paytte reported that functional disability in elderly is associated with inadequate food in-take and weight loss. <sup><xref ref-type="bibr" rid="ref38">38</xref></sup>,<sup><xref ref-type="bibr" rid="ref39">39</xref></sup> Saka et al. compared nutritional state of their functionally depended and independent subjects and found a poor nutritional state with lower daily calorie in-take in dependent subjects. <sup><xref ref-type="bibr" rid="ref40">40</xref></sup> Malnutrition is more frequent in elderly who are functionally dependent .</p>

<p> A potential limitation of this data is that the population of elderly people in our study was limited to many rural community in the central city of the country and may not be generalized to all other elderly both living conditions and health-care organization different with our health-care organization.</p>


</sec><sec><title>Conclusion</title><p> </p>

<p>According to our research, there is a lot of evidence that malnutrition and depression a common among elderly and may lead to deleterious effects on health and well-being. Hence, detecting alterations in primary care is important in order to improve quality of life and reduce complications. Since malnutrition is multi-factorial in origin and mostly several other problems are present concurrently, it is important to mention that nutritional interventions should be implemented only as a part of a complete strategy. Inter-disciplinary efforts directed toward increasing nutrient intake and removing pre-disposing causes of malnutrition should be encouraged.</p>

<p>Further investigations are necessary to show the need for a team work consisting of gerontologists, psychiatrics, anthropologists, clinicians, nutritionists, and other specialists involved in the care of elderly to generate guidelines in order to prevent and/or treat the elderly&#x2032;s malnutrition or decrease its risk.</p>


</sec><sec><title>Acknowledgment</title><p> </p>

<p>We thank the staff and family of the elderly for their assistance in this study. This study was supported by the Vice-Chancellor for research, Isfahan University of Medical Sciences N.290038.</p>
</sec>
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