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Background: As the most populous nation in the world, China has now becoming an emerging ageing society. Shanghai is the first city facing the challenge of ageing demographics. Against this background, a study that employs self-rated health (SRH) assessment system was designed to explore the health status of Shanghai elders, and learn their attitudes toward health issues; as well as to investigate the determinants of SRH among Shanghai elders. Understanding SRH is crucial for finding appropriate solutions that could effectively tackle the increasing eldercare demand.Methods: This study adopted a quantitative research strategy. Using a multistage stratified cluster sampling method, we conducted a questionnaire survey in August 2011 in Shanghai, which collected 2001 valid survey responses. SRH assessments were categorized by five levels: very good, fairly good, average, fairly poor, or poor. The respondents' functional status was evaluated using the Barthel index of activities for daily living. In the data analysis, we used chi-squared test to determine differences in socio-demographic characteristics among various groups. Along with statistics, several logistic regression models were designed to determine the associations between internal influence factors and SRH.Results: Younger age (χ2 = 27.5, p < 0.05), male sex (χ2 = 11.5, p < 0.1), and living in the suburbs (χ2 = 55.1, p < 0.05) were associated with better SRH scores. Higher SRH scores were also linked with health behaviour of the respondents; namely, do not smoke (χ2 = 18.0, p < 0.1), do not drink (χ2 = 18.6, p < 0.1), or engage in regular outdoor activities (χ2 = 69.3, p < 0.05). The respondents with better social support report higher SRH scores than those without. Respondents' ability to hear (χ2 = 38.7, p < 0.05), speak (χ2 = 16.1, p < 0.05) and see (χ2 = 78.3, p < 0.05) impacted their SRH scores as well. Meanwhile, chronic illness except asthma was a major influence factor in low SRH score. Applying multiple regression models, a series of determinants were analysed to establish the extent to which they contribute to SRH. The impact of these variables on SRH scores were 6.6% from socio-demographic and health risk behaviours, 2.4% from social support, 8.5% from mental health, 20% from physical conditions, and13% from chronic diseases.Conclusions: This is the first study that examines the determinants of SRH among Shanghai elders. Nearly 40% of our study's respondents reported their health status as "good". The main determinants of SRH among elders include living condition, health risk behaviour, social support, health status, and the economic status of the neighbourhood. [ABSTRACT FROM AUTHOR]

Background: Social changes and economic development are associated with obesity epidemic. This study is to investigate the trends of socio-economic disparity in obesity from 2002 to 2010 in a Chinese population experiencing the world's fastest economic development.Methods: Four standardized surveys were conducted in a population of 85 million residents in Guangdong, China between 2002 and 2010. Multistage random cluster sampling was used to recruit representative samples. Information on socio-economic status (SES), proxied by education, occupation and residential area, was collected by face-to-face interviews. The weight, height and waist circumference of the participants were also measured.Results: Women with low education had an increased BMI of 0.85 kg/m(2), while women with high education had a decreased BMI of 0.16 kg/m(2) (p = 0.032 for interaction test). Similar trends were observed by using occupation and residential area as the SES indicators. Analysis in men yielded similar patterns. Waist circumference increased from 73.7 to 78.4 cm, and the increasing trends of statistical significance (p < 0.01) were observed in both genders and across all SES levels, with the magnitudes of increase in low SES levels being more pronounced. The impact of gradient in food attainment and occupational physical activity across the SES levels may wear off with further economic development, while factors such as health awareness, diet pattern and leisure activity may become increasingly important in driving the disparity.Conclusion: The impact of gradient in food attainment and occupational physical activity across the SES levels may wear off with further economic development, while factors such as health awareness, diet pattern and leisure activity may become increasingly important in driving the disparity. Our findings suggest that health education should focus on the disadvantaged populations on health awareness for adopting healthier diet pattern and increasing physical activity. [ABSTRACT FROM AUTHOR]