Sociodemographic, behavioral, and reproductive factors associated with weight gain in Chinese women

Wen, Wang; Yt, Gao; Shu, XO; Yang, Gong; H, Li; Jin, Fang; Zheng, Wei

doi:10.1038/sj.ijo.0802318

Cited by 39 publications

(32 citation statements)

References 38 publications

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“…In our study, a woman whose first birth was at age 17-19 y had a 16% increase in odds of overweight and a 30% increase in odds of obesity, while women whose first birth was 23 y or older were at decreased risk. Age at first birth was inversely related to weight gain among both preand postmenopausal Chinese women 41 and an early first birth was significantly associated with overweight and body fat among postmenopausal women. 9,10 We also detected a significant interaction between age at first birth and smoking status, where current smokers had the lowest risk of ow/ob at any age of first birth compared to never and previous smokers.…”

Section: Discussionmentioning

confidence: 97%

Early anthropometric measures and reproductive factors as predictors of body mass index and obesity among older women

Newby

Dickman

et al. 2005

Int J Obes

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OBJECTIVE:To examine whether early anthropometric measures and reproductive factors were associated with body mass index (BMI), overweight, and obesity. DESIGN: Cross-sectional, observational study. SUBJECTS: In all, 18 109 healthy women who participated in the Swedish Mammography Cohort aged 49-83 y. MEASUREMENTS: Early anthropometric (birthweight and body shape at age 10 y) and reproductive (age at menarche, age at the birth of the first child, and parity) variables were our predictors and current BMI, overweight (BMI 25-29.99 kg/m 2 ), and obesity (BMI Z30 kg/m 2 ) were our outcomes. RESULTS: In multivariate-adjusted polytomous logistic regression analysis, risk of overweight and obesity increased with increasing body shape at age 10 y and decreased with increasing age at menarche and age at first birth (P for trend o0.0001). A U-shaped relation with birthweight was observed. In our tests for effect modification of the relation with overweight/obesity (ow/ob; BMI Z25 kg/m 2 ), we detected significant interactions between body shape at 10 y and age (Po0.0001); body shape at 10 y and physical activity (Po0.0001); age at first birth and smoking (P ¼ 0.02); and parity and physical activity (P ¼ 0.004). The increased risk of ow/ob among women who reported a larger childhood body shape was reduced as women moved from the lowest to highest quartile of physical activity in adulthood. Likewise, the increasing risk of ow/ob among women with greater parity was reduced with increased physical activity. CONCLUSION: Early anthropometric measures and reproductive factors are significantly associated with BMI, overweight, and obesity among older women. The effects of childhood body weight, age at first birth, and parity may be modified by adult lifestyle choices, as well as age.

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Section: Discussionmentioning

confidence: 97%

Early anthropometric measures and reproductive factors as predictors of body mass index and obesity among older women

Newby

Dickman

et al. 2005

Int J Obes

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“…Leaving school after age of 16 was associated with decreased weight gain in both men and women, as also seen in other studies. 39,40 Education, income and occupation are used as indicators of socioeconomic status. A recent review of longitudinal studies showed that among non-blacks in developed countries there was a relatively consistent inverse association between weight gain and occupation, and, to a somewhat lesser degree, education, whereas the association between weight gain and income was inconsistent.…”

Section: Discussionmentioning

confidence: 99%

“…46 Our study suggests that age at menarche is also associated with adult weight gain, as reported in other studies. 39,40 The EPIC-Oxford cohort differs from other studies in that it involves subjects who are more health conscious than the general UK population. Using data from the two recent British national diet and nutrition surveys, 47,48 we estimated the mean annual weight gain among persons aged 35-49 in the earlier survey to be approximately 700 g in men and 450 g in women.…”

Section: Discussionmentioning

confidence: 99%

Weight gain over 5 years in 21 966 meat-eating, fish-eating, vegetarian, and vegan men and women in EPIC-Oxford

et al. 2006

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Background: Cross-sectional studies have shown that vegetarians and vegans are leaner than omnivores. Longitudinal data on weight gain in these groups are sparse. Objective: We investigated changes in weight and body mass index (BMI) over a 5-year period in meat-eating, fish-eating, vegetarian, and vegan men and women in the UK. Design: Self-reported anthropometric, dietary and lifestyle data were collected at baseline in 1994-1999 and at follow-up in 2000-2003; the median duration of follow-up was 5.3 years. Subjects: A total of 21 966 men and women participating in Oxford arm of the European Prospective Investigation into Cancer and Nutrition aged 20-69 years at baseline. Results: The mean annual weight gain was 389 (SD 884) g in men and 398 (SD 892) g in women. The differences between meat-eaters, fish-eaters, vegetarians and vegans in age-adjusted mean BMI at follow-up were similar to those seen at baseline. Multivariable-adjusted mean weight gain was somewhat smaller in vegans (284 g in men and 303 g in women, Po0.05 for both sexes) and fish-eaters (338 g, women only, Po0.001) compared with meat-eaters. Men and women who changed their diet in one or several steps in the direction meat-eater-fish-eater-vegetarian-vegan showed the smallest mean annual weight gain of 242 (95% CI 133-351) and 301 (95% CI 238-365) g, respectively. Conclusion: During 5 years follow-up, the mean annual weight gain in a health-conscious cohort in the UK was approximately 400 g. Small differences in weight gain were observed between meat-eaters, fish-eaters, vegetarians and vegans. Lowest weight gain was seen among those who, during follow-up, had changed to a diet containing fewer animal food.

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“…19 We conducted additional analyses to investigate whether age modifies the associations between major measures of obesity and risk of CHD (Table 4). Among women aged 55 y or under, although the cardiac events were few, BMI was significantly associated with an increased risk of CHD in a dose-response manner, even after controlling for WHR.…”

Section: Resultsmentioning

confidence: 99%

Anthropometric predictors of coronary heart disease in Chinese women

Zhang

Shu

et al. 2004

Int J Obes

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OBJECTIVE:To evaluate the associations of body size and fat distribution with incidence of coronary heart disease (CHD) in Chinese women. DESIGN: Population-based, prospective cohort study. SUBJECTS: A total of 67 334 women aged 40-70 y, who had no prior history of CHD, stroke, and cancer at study recruitment. MEASUREMENTS: Weight, standing and sitting heights, circumferences of waist and hip, and ratios of the anthropometric measurements. Outcome: incidence of CHD (non-fatal myocardial infarction (MI) or fatal CHD). RESULTS: After a mean follow-up of 2.5 y (168 164 person-years), there were 70 incident cases of CHD (49 non-fatal MIs and 21 CHD deaths). Body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), waist-to-standing height ratio (WHtR), waist-to-sitting height ratio (WsHtR), and conicity index were all positively associated with the risk of CHD. With the exception of WHR, all other anthropometric indexes only predicted the risk of CHD among women r55 y of age at enrollment. The relative risks (RRs) between extreme tertiles of BMI were 9.0 (95% CI, 2.0-41.5; P for trend ¼ 0.002) for younger women vs 1.3 (0.6-3.0; P for trend ¼ 0.83) for older women. Similarly, the RRs for WC, WHtR, WsHtR, and conicity index were 6.1 (1.8-21.4) vs 1.9 (0.6-5.4), 9.4 (2.6-33.8) vs 1.2 (0.5-3.1), 15.2 (3.3-69.1) vs 1.0 (0.4-2.5), and 7.8 (2.2-28.0) vs 0.9 (0.4-2.3) for the young and elderly, respectively. In contrast, the RR for WHR was 3.2 (1.1-9.1) for the young and 2.9 (1.0-8.4) for the elderly. CONCLUSIONS: WHR was positively associated with the risk of CHD in both younger and older women, while other anthropometrics, including BMI, were related to CHD risk primarily among younger women.

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Sociodemographic, behavioral, and reproductive factors associated with weight gain in Chinese women

Cited by 39 publications

References 38 publications

Early anthropometric measures and reproductive factors as predictors of body mass index and obesity among older women

Early anthropometric measures and reproductive factors as predictors of body mass index and obesity among older women

Weight gain over 5 years in 21 966 meat-eating, fish-eating, vegetarian, and vegan men and women in EPIC-Oxford

Anthropometric predictors of coronary heart disease in Chinese women

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