Article

Risk factors for overweight and obesity, and changes in body mass index of Chinese adults in Shanghai.

Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Diabetes Institute, Shanghai Clinical Center of Diabetes, Shanghai 200233, PR China.
BMC Public Health (Impact Factor: 2.32). 12/2008; 8:389. DOI: 10.1186/1471-2458-8-389
Source: PubMed

ABSTRACT Over the past two decades, the prevalence of overweight or obesity has increased in China. The aims of this study were to firstly assess the baseline prevelences and the risk factors for overweight and obesity, and secondly to detect the changes of body mass index (BMI) over a follow-up period in Chinese adults in Shanghai.
The data set of a population-based longitudinal study was analyzed. Anthropometric and biochemical data were collected for 5364 subjects (aged 25-95 years) during a period of 1998-2001. Among those individuals, 3032 subjects were interviewed and reexamined at the second survey from 2003 to 2004. Then the standardized prevalences for overweight and obesity were calculated using baseline data; the possible contributing factors of overweight and obesity were detected using binary logistic regression analysis; and the changes of BMI were evaluated after an average of 3.6-year follow-up period.
(1) According to the WHO standard and the Chinese standard, the sex- and age-standardized prevalences were 27.5% and 32.4% for overweight, and 3.7% and 9.1% for obesity, respectively. (2) The risks of overweight and obesity differed among different age groups. Family history of obesity increased the risk of overweight and obesity by about 1.2-fold for both genders. Current male smokers had a lower risk of overweight and obesity (OR = 0.76, p < 0.05) than nonsmokers. In contrast, current male drinkers had a higher risk of overweight and obesity (OR = 1.42, p < 0.05) than nondrinkers. Compared with low-educated women, medium- and high- educated women were at lower risk of overweight and obesity, and the corresponding ORs (95% CIs) were 0.64 (0.52-0.79) and 0.50(0.36-0.68), respectively. (3) The annual changes of BMI means ranged from an increase of 0.1 kg/m2 to a decrease of 0.2 kg/m2 (by genders and age groups). Meanwhile, the BMI increase was statistically significant in the 35-44 years age group, and the BMI decrease was significant above 65 years for both genders.
This study showed high prevalence of overweight and obesity in Shanghai metropolis populations. The risk factors of overweight and obesity were multifactorial and gender specific. After 3.6 years, BMI means changed slightly, BMI increased mainly in middle-aged individuals and decreased in old individuals.

0 Bookmarks
 · 
91 Views
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Education and wealth may have different associations with female obesity but this has not been investigated in detail outside high-income countries. This study examines the separate and inter-related associations of education and household wealth in relation to obesity in women in a representative sample of low- and middle-income countries (LMICs). The seven largest national surveys were selected from a list of Demographic and Health Surveys (DHS) ordered by decreasing sample size and resulted in a range of country income levels. These were nationally representative data of women aged 15-49 years collected in the period 2005-2010. The separate and joint effects, unadjusted and adjusted for age group, parity, and urban/rural residence using a multivariate logistic regression model are presented. In the four middle-income countries (Colombia, Peru, Jordan, and Egypt), an interaction was found between education and wealth on obesity (P-value for interaction <0.001). Among women with no/primary education the wealth effect was positive whereas in the group with higher education it was either absent or inverted (negative). In the poorer countries (India, Nigeria, Benin), there was no evidence of an interaction. Instead, the associations between each of education and wealth with obesity were independent and positive. There was a statistically significant difference between the average interaction estimates for the low-income and middle-income countries (P<0.001). The findings suggest that education may protect against the obesogenic effects of increased household wealth as countries develop. Further research could examine the factors explaining the country differences in education effects.
    PLoS ONE 03/2014; 9(3):e90403. DOI:10.1371/journal.pone.0090403 · 3.53 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Although the New York City Chinese population aged ≥65 years increased by 50% between 2000 and 2010, the health needs of this population are poorly understood. Approximately 3,001 Chinese individuals from high-density Asian American New York City areas were included in the REACH U.S. Risk Factor Survey; 805 (26.8%) were aged ≥65 years and foreign-born. Four health-related quality of life and three behavioral risk factor outcome variables were examined. Descriptive statistics were conducted by gender, and logistic regression models assessed sociodemographic and health factors associated with each outcome. Few women were current smokers (1.3% vs. 14.8% of men), 19% of respondents ate fruits and vegetables more than or equal to five times daily, and one-third of individuals received sufficient weekly physical activity. Days of poor health were similar to the national population aged ≥65 years, while self-reported fair or poor health was much greater among our Chinese sample; over 60% of respondents rated their health as fair or poor. Lower education and lower obesity were significantly associated with cigarette smoking among men, and older age was significantly associated with insufficient physical activity overall. Female gender was significantly associated with all poor health days; older age was significantly associated with poor days of physical health, and lower income was significantly associated with poor days of physical health and fair or poor self-reported health. This study provides important health-related information on a rapidly growing older population and highlights future research areas to inform culturally appropriate health promotion and disease prevention strategies and policies within community-based settings.
    Health Education &amp Behavior 10/2014; 41(1 Suppl):98S-107S. DOI:10.1177/1090198114540462 · 1.54 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: The global pandemic of obesity has become a disastrous public health issue that needs urgent attention. Previous studies have concentrated in high-income urban settings and few cover low-income rural settings especially nomadic residents in mountain areas. This study focused on low-income rural and nomadic minority people residing in China's far west and investigated their prevalence and ethnic differences of obesity.
    PLoS ONE 09/2014; 9(9):e106723. DOI:10.1371/journal.pone.0106723 · 3.53 Impact Factor

Preview

Download
0 Downloads
Available from