Determinants of overnutrition among elderly in Thailand: A Cross sectional study
DOI:
https://doi.org/10.62992/ijphap.v1i1.14Keywords:
Overnutrition, Obesity, Elderly, Health statusAbstract
Background: As per the Global Nutrition Report 2017, malnutrition has been associated with weakened health conditions and can be distinguished as under and over nutrition respectively. Malnutrition distresses one in three people worldwide and is increasing in several countries making it public health challenge for all over the world.
Objectives: This study was aimed to identify the prevalence of overnutrition and the determinants of obesity among elderly in Thailand.
Methodology: 6,477 Thai elderlies were randomly selected from all the 77 provinces of Thailand which includes 13 zones and 4 regions. An analytical cross-sectional study was performed to identify the study outcome. Multilevel logistic regression was carried out and results were presented as Adjusted OR (Adj.OR) and 95%CI at the significance level of 0.05.
Results: Of the total 6,477, 39.40% (95%CI, 38.21-40.59) elderly were found to be obese. Multilevel logistic regression analysis between independent factors and obesity among elderly in Thailand observed those factors, statistically significant were, age group varying from 60-69 years (Adj.OR=2.53, 95%CI,2.09-3.08), those who can read fluently (Adj.OR=1.33, 95%CI,1.06-1.66, p-value 0.011), who can write fluently (Adj.OR=1.24,95%CI,1.02-1.60, p-value 0.026), having cable TV (Adj.OR=1.22, 95%CI, 1.07-1.39, p-value 0.002), having mobile phones (Adj.OR=1.32, 95%CI, 1.17-1.49, p-value<0.001), residing in the municipality (Adj.OR=1.23, 95%CI, 1.10-1.38, p-value<0.001), having chronic disease (Adj.OR=1.73, 95%CI, 1.54-1.94, p-value<0.001) and, elderly who do not have universal health insurance (Adj.OR=1.21, 95%CI, 1.05-1.39, p-value 0.007) respectively while controlling other co-variates.
Conclusion: Overnutrition among the elderly was significantly raised and factors such as having age group 60-69 years, without current occupation, unable to read and write fluently, having cable TV and mobile phones, residing in the municipality, having chronic disease, without universal health insurance were observed to be associated with obesity. Therefore, to tackle dual-form of malnutrition, nutrition and health education are important strategies to promote and maintain good health of elderly.
References
Churak P, Praditsorn P, Meenongwah J, Wimonpeerapattana WJA-PJoS, Technology. Factors associated with nutritional status of elderly in Ubon Ratchathani, Thailand. 2019;24(1).
Chuansangeam M, Wuthikraikun C, Supapueng O, Muangpaisan WJAPJoCN. Prevalence and risk for malnutrition in older Thai people: A systematic review and meta-analysis. 2022;31(1):128-41.
Vaish K, Patra S, Chhabra PJIJoPH. Nutritional status among elderly: a community-based cross-sectional study. 2020;64(3):266.
Gutiérrez‐Fisac JL, López E, Banegas JR, Graciani A, Rodríguez‐Artalejo FJOr. Prevalence of overweight and obesity in elderly people in Spain. 2004;12(4):710-5.
National Statistical Office N. Report on the 2017 Survey of the Older Persons in Thailand. 2018.
Zamboni M, Mazzali GJIjoo. Obesity in the elderly: an emerging health issue. 2012;36(9):1151-2.
Sukkriang N, Somrak K. Correlation Between Mini Nutritional Assessment and Anthropometric Measurements Among Community-Dwelling Elderly Individuals in Rural Southern Thailand. J Multidiscip Healthc. 2021;14:1509-20.
Sommers AR, editor Obesity among older Americans2008: Congressional Research Service, Library of Congress.
Baker DW, Wolf MS, Feinglass J, Thompson JA, Gazmararian JA, Huang JJAoim. Health literacy and mortality among elderly persons. 2007;167(14):1503-9.
Pongkiatchai R, Wongwiseskul SJJoFH, Science B. Nutrition Literacy and the Elderly with Hypertension. 2018;11(3):49-55.
Boscatto EC, Duarte MdFdS, Coqueiro RdS, Barbosa ARJRdAMB. Nutritional status in the oldest elderly and associated factors. 2013;59(1):40-7.
Mathus-Vliegen EMJJocg. Obesity and the elderly. 2012;46(7):533-44.
Amarya S, Singh K, Sabharwal MJJoCG, Geriatrics. Changes during aging and their association with malnutrition. 2015;6(3):78-84.
Evans CJTPJ. Malnutrition in the elderly: a multifactorial failure to thrive. 2005;9(3):38.
Amarya S, Singh K, Sabharwal MJJoCG, Geriatrics. Health consequences of obesity in the elderly. 2014;5(3):63-7.
Hu L, Huang X, You C, Li J, Hong K, Li P, et al. Prevalence of overweight, obesity, abdominal obesity and obesity-related risk factors in southern China. 2017;12(9):e0183934.
Hawkes C. Global nutrition report 2017: Nourishing the SDGs: Development Initiatives; 2017.
Hsieh FY, Bloch DA, Larsen MDJSim. A simple method of sample size calculation for linear and logistic regression. 1998;17(14):1623-34.
Hosmer DW, Lemeshow SJNY. Applied Logistic Regression. John Wiley & Sons. 2000.
Tucsek Z, Toth P, Tarantini S, Sosnowska D, Gautam T, Warrington JP, et al. Aging exacerbates obesity-induced cerebromicrovascular rarefaction, neurovascular uncoupling, and cognitive decline in mice. 2014;69(11):1339-52.
Han TS, Tajar A, Lean MEJ. Obesity and weight management in the elderly. British Medical Bulletin. 2011;97(1):169-96.
Li J, Chen J, Qin Q, Zhao D, Dong B, Ren Q, et al. Chronic pain and its association with obesity among older adults in China. 2018;76:12-8.
Wolf MS, Gazmararian JA, Baker DWJAoim. Health literacy and functional health status among older adults. 2005;165(17):1946-52.
Frasca D, Blomberg BB, Paganelli RJFii. Aging, obesity, and inflammatory age-related diseases. 2017;8:1745.
Frasca D, Ferracci F, Diaz A, Romero M, Lechner S, Blomberg BBJO. Obesity decreases B cell responses in young and elderly individuals. 2016;24(3):615-25.
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