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RESEARCH PRODUCT

Association between Food Insecurity and Sarcopenia among Adults Aged ≥65 Years in Low- and Middle-Income Countries

Josep Maria HaroLee SmithLaurie T. ButlerAi KoyanagiNicola VeroneseGuillermo F. López-sánchezJae Il ShinLouis JacobPinar SoysalYvonne Barnett

subject

MalePopulation030209 endocrinology & metabolismLogistic regressionArticleOddshungersarcopenia03 medical and health sciences0302 clinical medicineEnvironmental healthfood insecurityPrevalencemedicineHumansTX341-641030212 general & internal medicinelow- and middle-income countrieseducationDeveloping CountriesPovertyAgedAged 80 and over2. Zero hungereducation.field_of_studyNutrition and DieteticsHigh prevalencebusiness.industryNutrition. Foods and food supplyConfoundingLow-and middle-income countriesdigestive oral and skin physiologyMiddle Agedmedicine.disease3. Good healthFood insecuritybody regionsCross-Sectional Studiesold adults.Low and middle income countriesSmith L. Jacob L. Barnett Y. Butler L. T. Shin J. I. López-Sánchez G. F. Soysal P. Veronese N. Haro J. M. Koyanagi A. -Association between Food Insecurity and Sarcopenia among Adults Aged ≥65 Years in Low- and Middle-Income Countries.- Nutrients cilt.13 2021Sarcopenialow- and middle-income countrieold adultsFemalebusiness[SDV.AEN]Life Sciences [q-bio]/Food and Nutritionhuman activitiesFood Science

description

Limited literature has investigated the association between food insecurity and sarcopenia in low- and middle-income countries (LMICs). Therefore, the aim of the present study was to investigate the association between food insecurity and sarcopenia among adults aged ≥65 years in six LMICs. Community-based cross-sectional data of the Study on Global Ageing and Adult Health were analyzed. Sarcopenia was defined as the presence of low skeletal muscle mass based on indirect population formula, and either slow gait or low handgrip strength. In the past, 12-month food insecurity was assessed with two questions on frequency of eating less and hunger due to lack of food. Multivariable logistic regression analysis was conducted. The final sample consisted of 14,585 individuals aged ≥65 years (mean (SD) age 72.6 (11.5) years

10.3390/nu13061879https://www.mdpi.com/2072-6643/13/6/1879