Megan Crichton1, Dana Craven2, Hannah Mackay3, Wolfgang Marx1,4,5, Marian de van der Schueren6,7, Skye Marshall1. 1. Faculty of Health Sciences and Medicine, Bond University, Robina, Queensland, Australia. 2. School of Health and Sport Sciences, University of the Sunshine Coast, Sippy Downs, Queensland, Australia. 3. Mater Health Services, South Brisbane, Queensland, Australia. 4. School of Allied Health, La Trobe University, Victoria, Australia. 5. Food & Mood Centre, IMPACT SRC, School of Medicine, Deakin University, Geelong, Australia. 6. Faculty of Health and Social Studies, HAN University of Applied Sciences, Nijmegen, the Netherlands. 7. Department of Nutrition and Dietetics, Amsterdam University Medical Centres, VUmc, Amsterdam, the Netherlands.
Abstract
Background: protein-energy malnutrition is a major health concern in home-dwelling older adults, particularly in the context of an ageing population. Therefore, a systematic review and meta-analysis was undertaken to determine the prevalence of malnutrition among older adults living independently in the community according to geographical region, sampling frame, rurality and sex. Methods: six electronic databases were searched until September 2016. Original research studies which used the Mini Nutritional Assessment, Patient-Generated Subjective Global Assessment or Subjective Global Assessment to determine nutrition status in community samples with a mean age of ≥65 years were critically appraised and pooled using meta-analysis. Meta-regression was used to explore predictors of malnutrition prevalence in pooled statistics with high heterogeneity. Results: 111 studies from 38 countries (n = 69,702 participants) were included. The pooled prevalence of malnutrition in the older community setting ranged from 0.8% (95% CI: 0.2-1.7%) in Northern Europe to 24.6% (95% CI: 0.0-67.9%) in South-East Asia. Of all sampling frames, participants receiving homecare services had the highest prevalence at 14.6% (95% CI: 9.9-20.0%). Malnutrition prevalence in rural communities (9.9%; 95% CI: 4.5-16.8%) was double that in urban communities (5.7%; 95% CI: 4.2-7.3%) and higher among females than males (odds ratio = 1.45 [95% CI: 1.27-1.66]; P < 0.00001). Conclusions: the results of this review provide strategic insight to develop public and community health priorities for preventing malnutrition and associated poor health outcomes.
Background: protein-energy malnutrition is a major health concern in home-dwelling older adults, particularly in the context of an ageing population. Therefore, a systematic review and meta-analysis was undertaken to determine the prevalence of malnutrition among older adults living independently in the community according to geographical region, sampling frame, rurality and sex. Methods: six electronic databases were searched until September 2016. Original research studies which used the Mini Nutritional Assessment, Patient-Generated Subjective Global Assessment or Subjective Global Assessment to determine nutrition status in community samples with a mean age of ≥65 years were critically appraised and pooled using meta-analysis. Meta-regression was used to explore predictors of malnutrition prevalence in pooled statistics with high heterogeneity. Results: 111 studies from 38 countries (n = 69,702 participants) were included. The pooled prevalence of malnutrition in the older community setting ranged from 0.8% (95% CI: 0.2-1.7%) in Northern Europe to 24.6% (95% CI: 0.0-67.9%) in South-East Asia. Of all sampling frames, participants receiving homecare services had the highest prevalence at 14.6% (95% CI: 9.9-20.0%). Malnutrition prevalence in rural communities (9.9%; 95% CI: 4.5-16.8%) was double that in urban communities (5.7%; 95% CI: 4.2-7.3%) and higher among females than males (odds ratio = 1.45 [95% CI: 1.27-1.66]; P < 0.00001). Conclusions: the results of this review provide strategic insight to develop public and community health priorities for preventing malnutrition and associated poor health outcomes.
Authors: Xu Zhang; Lu Zhang; Yuanchun Pu; Min Sun; Yan Zhao; Dan Zhang; Xin Wang; Yarui Li; Dan Guo; Shuixiang He Journal: Nutrients Date: 2022-06-22 Impact factor: 6.706
Authors: Marie Fanelli Kuczmarski; Emily Stave Shupe; Ryan T Pohlig; Rita Rawal; Alan B Zonderman; Michele K Evans Journal: Nutrients Date: 2019-09-02 Impact factor: 5.717