Sleep duration, sleep quality, and obesity risk among older adults from six middle-income countries: Findings from the study on global ageing and adult health (SAGE)

Objectives Changes in sleep patterns often occur in older adults. Previous studies have documented associations between sleep duration, sleep quality, and obesity risk in older individuals, yet few studies have examined these trends in lower‐income countries. The present cross‐sectional study uses n...

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Published in:American journal of human biology 2014-11, Vol.26 (6), p.803-812
Main Authors: Gildner, Theresa E., Liebert, Melissa A., Kowal, Paul, Chatterji, Somnath, Josh Snodgrass, J.
Format: Article
Language:English
Subjects:
Aged
Body Mass Index
China - epidemiology
Cross-Sectional Studies
Female
Ghana - epidemiology
Humans
India - epidemiology
Life Style
Linear Models
Longitudinal Studies
Male
Mexico - epidemiology
Middle Aged
Multivariate Analysis
Obesity - epidemiology
Risk
Sex Factors
Siberia - epidemiology
Sleep
Sleep Wake Disorders - epidemiology
Smoking - epidemiology
Socioeconomic Factors
South Africa - epidemiology
Surveys and Questionnaires
Time Factors
Waist Circumference
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Summary:Objectives Changes in sleep patterns often occur in older adults. Previous studies have documented associations between sleep duration, sleep quality, and obesity risk in older individuals, yet few studies have examined these trends in lower‐income countries. The present cross‐sectional study uses nationally representative datasets from six countries to examine these relationships. Methods Two hypotheses related to obesity risk and sleep patterns were tested using data from the first wave of the World Health Organization's Study on global AGEing and adult health (SAGE). This longitudinal study draws on samples of older adults (>50 years old) in six middle‐income countries (China, Ghana, India, Mexico, Russian Federation, and South Africa). Self‐report data were used to measure sleep duration, sleep quality, lifestyle and sociodemographic information, while anthropometric measurements were collected to assess body mass index (BMI) and waist circumference (WC). Multiple linear regressions were used to examine the relationship between sleep patterns and obesity risk while controlling for lifestyle factors. Results Shorter sleep durations in both men and women were significantly associated with higher BMI and WC measures (P 
ISSN:1042-0533
1520-6300
DOI:10.1002/ajhb.22603