scholarly journals Body Mass Index as a Predictor of Mortality in Older People in Taiwan

2009 ◽  
Vol 3 (1) ◽  
pp. 39-46 ◽  
Author(s):  
Lee-Ching Hwang ◽  
Su-Chiu Chen ◽  
Jin-Jin Tjung ◽  
Hung-Yi Chiou ◽  
Chien-Jen Chen ◽  
...  
2013 ◽  
Vol 32 (4) ◽  
pp. 353-360 ◽  
Author(s):  
René Mõttus ◽  
Geraldine McNeill ◽  
Xueli Jia ◽  
Leone C. A. Craig ◽  
John M. Starr ◽  
...  

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Peter Lloyd-Sherlock ◽  
Sutapa Agrawal ◽  
Francesc Xavier Gómez-Olivé

Abstract Background Increasing numbers of older people in sub-Saharan Africa are gaining access to pension benefits and it is often claimed that these benefits promote healthy forms of consumption, which contribute to significant improvements in their health status. However, evidence to support these claims is limited. Methods The paper uses data for 2701 people aged 60 or over who participated in a population-based study in rural north-eastern South Africa. It analyses effects of receiving a pension on reported food scarcity, body mass index and patterns of consumption. Results The paper finds that living in a pension household is associated with a reduced risk of reported food scarcity and with higher levels of consumption of food and drink. The paper does not find that living in a pension household is associated with a higher prevalence of current smoking nor current alcohol consumption. However, the paper still finds that tobacco and alcohol make up over 40% of reported food and drink consumption, and that the correlation between reported food scarcity and body mass index status is imperfect. Conclusions The paper does not show significant associations between pension receipt and the selected risk factors. However, the context of prevalent obesity and high shares of household spending allocated to tobacco and alcohol call into question widely-made claims that pensions enhance healthy consumption among older people in low and middle-income countries.


2009 ◽  
Vol 65A (4) ◽  
pp. 377-381 ◽  
Author(s):  
R. E. Hubbard ◽  
I. A. Lang ◽  
D. J. Llewellyn ◽  
K. Rockwood

2020 ◽  
Vol 20 (9) ◽  
pp. 803-810
Author(s):  
Aki Yazawa ◽  
Yosuke Inoue ◽  
Naoki Kondo ◽  
Yasuhiro Miyaguni ◽  
Toshiyuki Ojima ◽  
...  

2021 ◽  
Vol 8 ◽  
Author(s):  
Jinling Liu ◽  
Qun Qu ◽  
Saiyare Xuekelati ◽  
Xue Bai ◽  
Li Wang ◽  
...  

Background: Studies have shown an association between undernutrition and increased adverse outcome, as well as substantial geographic and age variations in undernutrition. Body mass index (BMI), a core indicator of undernutrition, is easy to measure and reflects the nutritional and health status of the human body. It is a simple and suitable tool for epidemiological investigations in large sample populations. Herein, we provide the first description of geographic and age variations in the prevalence of low BMI among community-dwelling older people in Xinjiang.Methods: From January 2019 to December 2019, using a multi-stage random sampling method, we conducted a cross-sectional epidemiological survey of the community-dwelling older people in Xinjiang at different latitudes. Of the 87,000 participants, the statistical analyses included 86,514 participants with complete data.Results: In Xinjiang, the prevalence of low BMI was 7.7% in the community-dwelling older people. The BMI gradually decreased with increasing age and gradually increased with latitude. The prevalence of low BMI in northern Xinjiang was 5.3%, which was significantly lower than that in eastern (7.7%) and southern (9.3%) Xinjiang. In the 60–69-, 70–79-, 80–89-, and ≥90-year age groups, the prevalence rates of low BMI were 5.8, 7.9, 10.0, and 13.9%, respectively. After adjusting for confounding factors (sex, ethnic group, hypertension, diabetes, hyperlipemia, smoking, and drinking), multivariate logistic regression analysis showed that the odds ratios (95% CI) for low BMI in eastern and southern Xinjiang were 1.165 (1.056–1.285) and 1.400 (1.274–1.538), respectively, compared to northern Xinjiang. The adjusted odds ratios (95% CI) for low BMI in the 70–79-, 80–89-, and ≥90-year age groups were 1.511 (1.39–1.635), 2.233 (2.030–2.456), and 3.003 (2.439–3.696), respectively, compared to the 60–69-year age group.Conclusion: The results of this study revealed geographic and age variations in the prevalence of low BMI in the community-dwelling older people in Xinjiang. The prevalence of low BMI gradually increased as the latitude decreased and as age increased.


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