2 research outputs found

    Geographical variations in self-rated health and functional limitations among older Chinese in eight WHO-SAGE provinces

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    BACKGROUND The proportion of population ageing in China will grow significantly in the next few decades but the pace of population ageing and social change vary considerably across regions. Notably, Eastern coastal areas are economically more advanced compared to the Western region. These economic disparities could result in differing adverse health outcomes. METHODS We investigate geographical variations in self-rated overall health and functional limitations in a national representative sample of Chinese aged 50 years and older (n = 13,175) using the WHO Study on global AGEing and adult health (WHO SAGE). We used multivariable logistic regression to investigate urban-rural inequalities across regions, adjusting for sociodemographic and health covariates. Two main outcomes were self-rated overall health and functional limitations based on the WHO Disability Assessment Schedule 2.0 for a range of daily activities. RESULTS The largest urban-rural differences in adverse health outcomes were in Shandong (AORs for urban versus rural of 6.32 [95% Confidence Interval 4.53-8.82] for poor or very poor self-rated overall health and 5.14 [CI 3.55-7.44] for functional limitations), followed by Jilin (AORs 2.71 [CI 2.04-3.61] and 4.72 [CI 3.43-6.49]), and Hubei (AORs 2.36 [CI 1.82-3.07] and 4.11 [CI 2.80-6.04]), respectively. Covariates significantly associated with both adverse health outcomes were older age, poor income, no health insurance, and increasing number of chronic diseases. CONCLUSION Our study reveals substantial disparities between urban and rural areas observed in both the well-developed areas (eg Shandong) and also the lower end of the economic spectrum (eg Hubei and Jilin). Targeted economic development policy and systematic health prevention and healthcare policies could be beneficial in improving health in later life whilst minimising geographical inequalities.This study was supported by the Australian Research Council Centre of Excellence in Population Ageing Research (CE1101029) and the ARC Discovery Project Understanding ageing in China and Australia (DP160103023)

    Nutrition label experience, obesity, high blood pressure, and high blood lipids in a cohort of 42,750 Thai adults

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    Introduction Nutrition labels have been promoted for nearly two decades in Thailand to educate people about healthy eating and to combat nutrient-related non-communicable diseases (NCDs). But little is known about how nutrition labels are experienced and whether they are linked with better health. Our objective was to investigate the associations between nutrition label experience, obesity and nutrient-related NCDs in Thai consumers. Methods A cross-sectional study was undertaken with a nationwide cohort of 42,750 distance learning Thai adult students enrolled in an Open University in 2013. We measured exposure as nutrition label experience (read, understand, use). Health outcomes were high blood pressure, high blood lipids, and high Body Mass Index (overweight at risk and obesity). Multivariate logistic regression was used to determine the association between nutrition label experience and health outcome adjusting for sociodemographic attributes, physical activity, smoking, and alcohol intake. Results Frequent nutrition label use varied by cohort attributes and health outcomes and was least for those with low physical activity and high blood pressure. Being male, older, an urban resident or with low physical activity was associated with increasing high blood pressure and high blood lipids. Compared to those who read, understand and use nutrition labels, participants who did not (read, understand, and use), were more likely to report high blood pressure (Adjusted Odds Ratio 1.33; 1.17–1.51), high blood lipids (AOR 1.26; 1.14–1.39), and obesity (AOR 1.23; 1.13–1.33), but were not more likely to be overweight at risk (AOR 1.06; 0.97–1.16). Conclusions We found cross-sectional associations between low nutrition label experience and increased likelihood of high blood pressure, high blood lipids, and obesity among Thai adults. Nutrition label education should be promoted as part of a public health approach to appropriate food choices and better lifestyles to reduce obesity and nutrient-related NCDs.This study was supported by the International Collaborative Research Grants Scheme with joint grants from the Wellcome Trust UK (GR071587MA) and the Australian National Health and Medical Research Council (NHMRC, grant No.268055). It was also supported by a global health grant from the NHMRC (585426). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript
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