Self-reported socio-economic status, social, physical and leisure activities and risk for malnutrition in late life: a cross-sectional population-based study
- PMID: 21369673
- DOI: 10.1007/s12603-010-0286-4
Self-reported socio-economic status, social, physical and leisure activities and risk for malnutrition in late life: a cross-sectional population-based study
Abstract
Objectives: Our goal was to evaluate the proportion of community-dwelling elderly people at risk for malnutrition and the effect of different socioeconomic status (SES) indicators as well as social, physical and leisure activities in late life on the risk for malnutrition.
Design: A cross-sectional population-based study.
Setting: A sub-urban area in Northern Italy.
Participants: 698 community-dwelling older persons.
Measurements: The nutritional status of participants was assessed through the Mini Nutritional Assessment-Short Form (MNA-SF). SES was defined by means of early-life education, longest occupation, and late-life financial conditions. The following indicators were also evaluated: social contacts, and performing mental, physical and leisure activities during late-life. Chronic diseases, functional, cognitive and affective status were considered as potential confounders when examining the risk for malnutrition by logistic regression models.
Results: 8% of the participants (average age 75.6 years, 408 women) were at risk for malnutrition (MNA-SF ≤ 11). Low education, poor financial condition, and lack of physical and leisure activities showed a crude association with risk for malnutrition. Multi-adjusted logistic regression models showed that only low education (OR=2.9; 95% CI=1.2-6.8) and lack of physical activity (OR=4.4;95%CI=2.0-9.7) were independently associated with the risk for malnutrition.
Conclusions: Low education and lack of physical activity in late-life may affect the risk for malnutrition in the elderly. Further studies are needed to clarify the cause-effect relationship between lack of physical activity and malnutrition.
Similar articles
-
Social and economic correlates of malnutrition in Polish elderly population: the results of PolSenior study.J Nutr Health Aging. 2015 Apr;19(4):397-402. doi: 10.1007/s12603-014-0572-7. J Nutr Health Aging. 2015. PMID: 25809803
-
Factors associated with poor nutritional status among community dwelling Lebanese elderly subjects living in rural areas: results of the AMEL study.J Nutr Health Aging. 2014 May;18(5):487-94. doi: 10.1007/s12603-014-0463-y. J Nutr Health Aging. 2014. PMID: 24886735
-
Socioeconomic Position and Malnutrition among Older Adults: Results from the FRADEA Study.J Nutr Health Aging. 2018;22(9):1086-1091. doi: 10.1007/s12603-018-1061-1. J Nutr Health Aging. 2018. PMID: 30379307 Free PMC article.
-
Identifying the elderly at risk for malnutrition. The Mini Nutritional Assessment.Clin Geriatr Med. 2002 Nov;18(4):737-57. doi: 10.1016/s0749-0690(02)00059-9. Clin Geriatr Med. 2002. PMID: 12608501 Review.
-
Prevalence of malnutrition among children and women of reproductive age in Uruguay by socio-economic status and educational level.Public Health Nutr. 2020 Aug;23(S1):s101-s107. doi: 10.1017/S1368980020000804. Epub 2020 Apr 17. Public Health Nutr. 2020. PMID: 32299530 Free PMC article. Review.
Cited by
-
Malnutrition among the Elderly in Malaysia and Its Associated Factors: Findings from the National Health and Morbidity Survey 2018.J Nutr Metab. 2021 Apr 12;2021:6639935. doi: 10.1155/2021/6639935. eCollection 2021. J Nutr Metab. 2021. PMID: 33953978 Free PMC article.
-
Social and economic correlates of malnutrition in Polish elderly population: the results of PolSenior study.J Nutr Health Aging. 2015 Apr;19(4):397-402. doi: 10.1007/s12603-014-0572-7. J Nutr Health Aging. 2015. PMID: 25809803
-
Social and Economic Factors and Malnutrition or the Risk of Malnutrition in the Elderly: A Systematic Review and Meta-Analysis of Observational Studies.Nutrients. 2020 Mar 11;12(3):737. doi: 10.3390/nu12030737. Nutrients. 2020. PMID: 32168827 Free PMC article.
-
High risk of malnutrition associated with depressive symptoms in older South Africans living in KwaZulu-Natal, South Africa: a cross-sectional survey.J Health Popul Nutr. 2015 Oct 19;33:19. doi: 10.1186/s41043-015-0030-0. J Health Popul Nutr. 2015. PMID: 26825267 Free PMC article.
-
Predictors of malnutrition among older adults aged above 65 years in eastern Ethiopia: neglected public health concern.BMC Geriatr. 2020 Nov 23;20(1):497. doi: 10.1186/s12877-020-01911-2. BMC Geriatr. 2020. PMID: 33228614 Free PMC article.
References
MeSH terms
LinkOut - more resources
Full Text Sources
Medical