High risk of malnutrition associated with depressive symptoms in older South Africans living in KwaZulu-Natal, South Africa: a cross-sectional survey
Malnutrition contributes to functional and cognitive decline in older adults, which results in decreased quality of life and loss of independence. This study aimed to identify determinants of nutritional risk among community-dwelling adults in KwaZulu-Natal, South Africa. A cross-sectional survey wa...
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| Veröffentlicht in: | Journal of health, population and nutrition population and nutrition, 2015-10, Vol.33 (1), p.19-19, Article 19 |
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| creator | Naidoo, I Charlton, Karen E Esterhuizen, T M Cassim, B |
| description | Malnutrition contributes to functional and cognitive decline in older adults, which results in decreased quality of life and loss of independence. This study aimed to identify determinants of nutritional risk among community-dwelling adults in KwaZulu-Natal, South Africa.
A cross-sectional survey was undertaken in 1008 subjects aged 60 years and over who were randomly selected by systematic sampling. Demographics, socioeconomic data and self-reported history of medical conditions were recorded. The Mini Nutritional Assessment-Short Form (MNA-SF) was used to screen for nutritional risk, and the Centre for Epidemiologic Studies Depression scale was administered to all subjects. Descriptive statistics and the Pearson chi-square and Kruskal-Wallis tests were used for statistical analysis. Logistic regression modelling determined predictors of nutritional risk.
Of the 984 participants (mean age = 68.8 ± 7.4 years; range 60-103 years) who completed the MNA-SF, 51% were classified as having a normal nutritional status, 43.4% at risk for malnutrition and 5.5% classified as malnourished. Men were more likely to be either at risk for malnutrition or be malnourished than women (p = 0.008), as were subjects with a monthly household income of ≤R1600 per month (~133 USD) (p = 0.003). In logistic regression models, depressed people were 2.803 (p |
| doi_str_mv | 10.1186/s41043-015-0030-0 |
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A cross-sectional survey was undertaken in 1008 subjects aged 60 years and over who were randomly selected by systematic sampling. Demographics, socioeconomic data and self-reported history of medical conditions were recorded. The Mini Nutritional Assessment-Short Form (MNA-SF) was used to screen for nutritional risk, and the Centre for Epidemiologic Studies Depression scale was administered to all subjects. Descriptive statistics and the Pearson chi-square and Kruskal-Wallis tests were used for statistical analysis. Logistic regression modelling determined predictors of nutritional risk.
Of the 984 participants (mean age = 68.8 ± 7.4 years; range 60-103 years) who completed the MNA-SF, 51% were classified as having a normal nutritional status, 43.4% at risk for malnutrition and 5.5% classified as malnourished. Men were more likely to be either at risk for malnutrition or be malnourished than women (p = 0.008), as were subjects with a monthly household income of ≤R1600 per month (~133 USD) (p = 0.003). In logistic regression models, depressed people were 2.803 (p < 0.001) times more likely to be at risk or be malnourished than those not depressed.
A high prevalence of risk of malnutrition was identified in older South Africans living in an urban area with poor infrastructure. Further investigations are warranted to determine whether the higher prevalence of depressive symptomatology in nutritionally at risk individuals is a determinant or a consequence of malnutrition, in order to develop targeted nutritional interventions in this age group.</description><identifier>ISSN: 2072-1315</identifier><identifier>ISSN: 1606-0997</identifier><identifier>EISSN: 2072-1315</identifier><identifier>DOI: 10.1186/s41043-015-0030-0</identifier><identifier>PMID: 26825267</identifier><language>eng</language><publisher>Bangladesh: BioMed Central</publisher><subject>Adults ; Aged ; Aged, 80 and over ; At risk ; Clinical assessment ; Cognitive ability ; Cognitive impairment ; Cross-Sectional Studies ; Cross-sections ; Demographics ; Demography ; Depression ; Depression - complications ; Depression - economics ; Depression - ethnology ; Elder Nutritional Physiological Phenomena - ethnology ; Epidemiology ; Family Characteristics - ethnology ; Female ; Health Surveys ; High risk ; Humans ; Infrastructure ; Male ; Malnutrition ; Malnutrition - economics ; Malnutrition - epidemiology ; Malnutrition - ethnology ; Malnutrition - psychology ; Mathematical models ; Medical conditions ; Men ; Mental depression ; Middle Aged ; Middle aged women ; Modelling ; Nutrition ; Nutritional status ; Older people ; Poverty Areas ; Prevalence ; Public Assistance ; Public health ; Quality of life ; Regression analysis ; Regression models ; Risk ; Risk assessment ; Sampling ; Sex Factors ; Socioeconomic factors ; South Africa - epidemiology ; Statistical analysis ; Statistical tests ; Systematic sampling ; Urban areas ; Urban Health - economics ; Urban Health - ethnology</subject><ispartof>Journal of health, population and nutrition, 2015-10, Vol.33 (1), p.19-19, Article 19</ispartof><rights>Copyright BioMed Central 2015</rights><rights>Naidoo et al. 2015</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c427t-54d52ad6a99899091ebe58a55e432b56cf891fbf152305433b8e64c19010c3c43</citedby><cites>FETCH-LOGICAL-c427t-54d52ad6a99899091ebe58a55e432b56cf891fbf152305433b8e64c19010c3c43</cites><orcidid>0000-0002-8044-444X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5026002/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5026002/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,12846,27924,27925,30999,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26825267$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Naidoo, I</creatorcontrib><creatorcontrib>Charlton, Karen E</creatorcontrib><creatorcontrib>Esterhuizen, T M</creatorcontrib><creatorcontrib>Cassim, B</creatorcontrib><title>High risk of malnutrition associated with depressive symptoms in older South Africans living in KwaZulu-Natal, South Africa: a cross-sectional survey</title><title>Journal of health, population and nutrition</title><addtitle>J Health Popul Nutr</addtitle><description>Malnutrition contributes to functional and cognitive decline in older adults, which results in decreased quality of life and loss of independence. This study aimed to identify determinants of nutritional risk among community-dwelling adults in KwaZulu-Natal, South Africa.
A cross-sectional survey was undertaken in 1008 subjects aged 60 years and over who were randomly selected by systematic sampling. Demographics, socioeconomic data and self-reported history of medical conditions were recorded. The Mini Nutritional Assessment-Short Form (MNA-SF) was used to screen for nutritional risk, and the Centre for Epidemiologic Studies Depression scale was administered to all subjects. Descriptive statistics and the Pearson chi-square and Kruskal-Wallis tests were used for statistical analysis. Logistic regression modelling determined predictors of nutritional risk.
Of the 984 participants (mean age = 68.8 ± 7.4 years; range 60-103 years) who completed the MNA-SF, 51% were classified as having a normal nutritional status, 43.4% at risk for malnutrition and 5.5% classified as malnourished. Men were more likely to be either at risk for malnutrition or be malnourished than women (p = 0.008), as were subjects with a monthly household income of ≤R1600 per month (~133 USD) (p = 0.003). In logistic regression models, depressed people were 2.803 (p < 0.001) times more likely to be at risk or be malnourished than those not depressed.
A high prevalence of risk of malnutrition was identified in older South Africans living in an urban area with poor infrastructure. Further investigations are warranted to determine whether the higher prevalence of depressive symptomatology in nutritionally at risk individuals is a determinant or a consequence of malnutrition, in order to develop targeted nutritional interventions in this age group.</description><subject>Adults</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>At risk</subject><subject>Clinical assessment</subject><subject>Cognitive ability</subject><subject>Cognitive impairment</subject><subject>Cross-Sectional Studies</subject><subject>Cross-sections</subject><subject>Demographics</subject><subject>Demography</subject><subject>Depression</subject><subject>Depression - complications</subject><subject>Depression - economics</subject><subject>Depression - ethnology</subject><subject>Elder Nutritional Physiological Phenomena - ethnology</subject><subject>Epidemiology</subject><subject>Family Characteristics - ethnology</subject><subject>Female</subject><subject>Health Surveys</subject><subject>High risk</subject><subject>Humans</subject><subject>Infrastructure</subject><subject>Male</subject><subject>Malnutrition</subject><subject>Malnutrition - economics</subject><subject>Malnutrition - epidemiology</subject><subject>Malnutrition - ethnology</subject><subject>Malnutrition - psychology</subject><subject>Mathematical models</subject><subject>Medical conditions</subject><subject>Men</subject><subject>Mental depression</subject><subject>Middle Aged</subject><subject>Middle aged women</subject><subject>Modelling</subject><subject>Nutrition</subject><subject>Nutritional status</subject><subject>Older people</subject><subject>Poverty Areas</subject><subject>Prevalence</subject><subject>Public Assistance</subject><subject>Public health</subject><subject>Quality of life</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Risk</subject><subject>Risk assessment</subject><subject>Sampling</subject><subject>Sex Factors</subject><subject>Socioeconomic factors</subject><subject>South Africa - epidemiology</subject><subject>Statistical analysis</subject><subject>Statistical tests</subject><subject>Systematic sampling</subject><subject>Urban areas</subject><subject>Urban Health - 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epidemiology</topic><topic>Statistical analysis</topic><topic>Statistical tests</topic><topic>Systematic sampling</topic><topic>Urban areas</topic><topic>Urban Health - economics</topic><topic>Urban Health - ethnology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Naidoo, I</creatorcontrib><creatorcontrib>Charlton, Karen E</creatorcontrib><creatorcontrib>Esterhuizen, T M</creatorcontrib><creatorcontrib>Cassim, B</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Social Sciences Premium Collection</collection><collection>ProQuest Central (Corporate)</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Career & Technical Education Database</collection><collection>Nursing & Allied Health Database</collection><collection>Virology and AIDS Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>Social Science Database (Alumni Edition)</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Social Science Premium Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Sociology Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Social Science Database</collection><collection>Sociology Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of health, population and nutrition</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Naidoo, I</au><au>Charlton, Karen E</au><au>Esterhuizen, T M</au><au>Cassim, B</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>High risk of malnutrition associated with depressive symptoms in older South Africans living in KwaZulu-Natal, South Africa: a cross-sectional survey</atitle><jtitle>Journal of health, population and nutrition</jtitle><addtitle>J Health Popul Nutr</addtitle><date>2015-10-19</date><risdate>2015</risdate><volume>33</volume><issue>1</issue><spage>19</spage><epage>19</epage><pages>19-19</pages><artnum>19</artnum><issn>2072-1315</issn><issn>1606-0997</issn><eissn>2072-1315</eissn><abstract>Malnutrition contributes to functional and cognitive decline in older adults, which results in decreased quality of life and loss of independence. This study aimed to identify determinants of nutritional risk among community-dwelling adults in KwaZulu-Natal, South Africa.
A cross-sectional survey was undertaken in 1008 subjects aged 60 years and over who were randomly selected by systematic sampling. Demographics, socioeconomic data and self-reported history of medical conditions were recorded. The Mini Nutritional Assessment-Short Form (MNA-SF) was used to screen for nutritional risk, and the Centre for Epidemiologic Studies Depression scale was administered to all subjects. Descriptive statistics and the Pearson chi-square and Kruskal-Wallis tests were used for statistical analysis. Logistic regression modelling determined predictors of nutritional risk.
Of the 984 participants (mean age = 68.8 ± 7.4 years; range 60-103 years) who completed the MNA-SF, 51% were classified as having a normal nutritional status, 43.4% at risk for malnutrition and 5.5% classified as malnourished. Men were more likely to be either at risk for malnutrition or be malnourished than women (p = 0.008), as were subjects with a monthly household income of ≤R1600 per month (~133 USD) (p = 0.003). In logistic regression models, depressed people were 2.803 (p < 0.001) times more likely to be at risk or be malnourished than those not depressed.
A high prevalence of risk of malnutrition was identified in older South Africans living in an urban area with poor infrastructure. Further investigations are warranted to determine whether the higher prevalence of depressive symptomatology in nutritionally at risk individuals is a determinant or a consequence of malnutrition, in order to develop targeted nutritional interventions in this age group.</abstract><cop>Bangladesh</cop><pub>BioMed Central</pub><pmid>26825267</pmid><doi>10.1186/s41043-015-0030-0</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-8044-444X</orcidid><oa>free_for_read</oa></addata></record> |
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| source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; SpringerNature Journals; PubMed Central Open Access; Applied Social Sciences Index & Abstracts (ASSIA); JSTOR Archive Collection A-Z Listing; Bioline International; PubMed Central |
| subjects | Adults Aged Aged, 80 and over At risk Clinical assessment Cognitive ability Cognitive impairment Cross-Sectional Studies Cross-sections Demographics Demography Depression Depression - complications Depression - economics Depression - ethnology Elder Nutritional Physiological Phenomena - ethnology Epidemiology Family Characteristics - ethnology Female Health Surveys High risk Humans Infrastructure Male Malnutrition Malnutrition - economics Malnutrition - epidemiology Malnutrition - ethnology Malnutrition - psychology Mathematical models Medical conditions Men Mental depression Middle Aged Middle aged women Modelling Nutrition Nutritional status Older people Poverty Areas Prevalence Public Assistance Public health Quality of life Regression analysis Regression models Risk Risk assessment Sampling Sex Factors Socioeconomic factors South Africa - epidemiology Statistical analysis Statistical tests Systematic sampling Urban areas Urban Health - economics Urban Health - ethnology |
| title | High risk of malnutrition associated with depressive symptoms in older South Africans living in KwaZulu-Natal, South Africa: a cross-sectional survey |
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