Objective Obesity is a major risk factor for type 2 diabetes, many indexes can be used to describes obesity and predict diabetes. This research attempts to identify the best indicator of obesity to screening diabetes ...Objective Obesity is a major risk factor for type 2 diabetes, many indexes can be used to describes obesity and predict diabetes. This research attempts to identify the best indicator of obesity to screening diabetes in Chinese population. Methods A cross-sectional data of 8121 subjects aged 35-60 years were included in this research belongs to the Diabetes Appropriate Technology Intervention Study. Anthropometric indicators including body weight, height, waist circumferences (WC), body fat index (BFI) and visceral fat index (VFI) and blood biochemical indicators after an overnight fast [fasting blood glucose, total cholesterol, high-density lipoprotein (HDL) cholesterol, and triacylglycerol] were measured. BMI (body mass index) and Weight to Height Ratio was calculated. Results Subjects with obesity had a higher risk of physician diagnosed diabetes (0R=2.50, 95% CI 1.83-3.43), new diagnosed diabetes (0R=4.23, 95% Cl 2.91-6.15) and pre-diabetes (0R=1.75, 95% CI 1.31-2.34) compared to those with normal Body mass index (BMI). There was a significant trend of increased risk of all diabetes status with increased waist circumference (WC). The waist-to-height ratio (WHtR) yielded the most significant association with new diagnosed diabetes and physician diagnosed diabetes than other indices. Conclusion Central obesity is significantly correlated with diabetes. VFI was most correlated with pre-diabetes while WHtR is an efficient screening index than BMI and WC in Chinese community diabetes screening.展开更多
Objective We aimed to investigate and interpret the associations between socioeconomic factors and the prevalence, awareness, treatment, and control of hypertension at the provincial level in China.Methods A nationall...Objective We aimed to investigate and interpret the associations between socioeconomic factors and the prevalence, awareness, treatment, and control of hypertension at the provincial level in China.Methods A nationally and provincially representative sample of 179,059 adults from the China Chronic Disease and Nutrition Surveillance study in 2015–2016 was used to estimate hypertension burden. The spatial Durbin error model was fitted to investigate socioeconomic factors associated with hypertension indicators.Results Overall, it was estimated that 29.20% of the participants were hypertensive nationwide,among whom, 34.32% were aware of their condition, 27.69% had received antihypertensive treatment,and 7.81% had controlled their condition. Per capita gross domestic product(GDP) was associated with hypertension prevalence(coefficient:-2.95, 95% CI:-5.46,-0.45) and control(coefficient: 6.35, 95% CI:1.36, 11.34) among adjacent provinces and was also associated with awareness(coefficient: 2.93, 95%CI: 1.12, 4.74) and treatment(coefficient: 2.67, 95% CI: 1.21, 4.14) in local province. Beds of internal medicine(coefficient: 2.66, 95% CI: 1.08, 4.23) was associated with control in local province. Old dependency ratio(coefficient:-3.58, 95% CI:-5.35,-1.81) was associated with treatment among adjacent provinces and with control(coefficient:-1.69, 95% CI:-2.42,-0.96) in local province.Conclusion Hypertension indicators were not only directly influenced by socioeconomic factors of local area but also indirectly affected by characteristics of geographical neighbors. Population-level strategies should involve optimizing supportive socioeconomic environment by integrating clinical care and public health services to decrease hypertension burden.展开更多
Objective To examine the association between habitual sleep duration and obesity among Chinese adults. Methods The association of sleep duration and obesity was investigated among 7,094 community-dwelling Chinese adul...Objective To examine the association between habitual sleep duration and obesity among Chinese adults. Methods The association of sleep duration and obesity was investigated among 7,094 community-dwelling Chinese adults. Sleep duration was self-reported. In this study, obesity was defined as follows: body mass index (BMI) ≥ 28 kg/m^2, waist circumference (WC) ≥ 85 cm in men and ≥ 80 cm in women, and percent body fat (%BF) ≥ 25 in men and ≥ 35 in women. Logistic and quantile regressions were employed to examine relationships of interest. Results Overall, 6.42% of the participants reported short sleep durations (〈 6 h/d) while 14.71% reported long (≥ 9 h/d) sleep durations. Long sleepers (≥ 9 h/d) represented a greater frequency of women with obesity [odds ratio (OR): 1.30; 95% confidence interval (CI), 1.02-1.67] and high body fat (1.43, 1.04-1.96) than those who slept 7-8 h/d. An association between long sleep times and higher BMI estimations was found across the 10th-75th percentile of the BMI distribution. Among men, long sleepers (≥ 9 h/d) presented lower risks of developing abdominal obesity compared with individuals who slept 7-8 h/d (OR = 0.79, 95% CI: 0.44-0.99). Conclusion Our study suggests that long sleep durations are associated with general obesity in Chinese women but reduced waist circumferences in men. Confirmatory studies are needed to determine the heterogeneous association of sleep time and obesity by gender.展开更多
Objective To understand the associations of physical activity domains with metabolic syndrome among a middle-aged Chinese population. Methods In all, 3326 professional adults aged 35-64 years from Beijing and Zhejiang...Objective To understand the associations of physical activity domains with metabolic syndrome among a middle-aged Chinese population. Methods In all, 3326 professional adults aged 35-64 years from Beijing and Zhejiang province were recruited with a cluster random sampling method. The Global Physical Activity Questionnaire was modified, and the recommended Asia-Pacific cut-offs of waist circumstance were introduced into the criteria for metabolic syndrome from the Adult Treatment Panel III. A binary logistic regression model was applied to examine the association of all physical activity domains with the risk of the syndrome. Results Participants who engaged in domestic activity for 〉1176 MET-min/week had a 41.6% less chance of having metabolic syndrome [odds ratio (OR), 0.584; 95% confidence interval (CI), 0.480-0.710] than those without this activity. In adjusted models, adults who actively commuted for 〉33 MET-rain/week but 〈52g MET-min/week had a 25% less chance of having the syndrome (OR, 0.750; 95% CI, 0.582-0.966) than those who did not. No interaction was detected between the two domains of activity and the syndrome. Conclusion This study highlighted the independently negative association of traffic and house activity with the prevalence of the syndrome in this sample with a generally low level of moderate activity.展开更多
基金supported by the Research Fund from Ministry of Health of the People’s Republic of ChinaProject of MOST 11th Five Year Plan 2008BAI56B04
文摘Objective Obesity is a major risk factor for type 2 diabetes, many indexes can be used to describes obesity and predict diabetes. This research attempts to identify the best indicator of obesity to screening diabetes in Chinese population. Methods A cross-sectional data of 8121 subjects aged 35-60 years were included in this research belongs to the Diabetes Appropriate Technology Intervention Study. Anthropometric indicators including body weight, height, waist circumferences (WC), body fat index (BFI) and visceral fat index (VFI) and blood biochemical indicators after an overnight fast [fasting blood glucose, total cholesterol, high-density lipoprotein (HDL) cholesterol, and triacylglycerol] were measured. BMI (body mass index) and Weight to Height Ratio was calculated. Results Subjects with obesity had a higher risk of physician diagnosed diabetes (0R=2.50, 95% CI 1.83-3.43), new diagnosed diabetes (0R=4.23, 95% Cl 2.91-6.15) and pre-diabetes (0R=1.75, 95% CI 1.31-2.34) compared to those with normal Body mass index (BMI). There was a significant trend of increased risk of all diabetes status with increased waist circumference (WC). The waist-to-height ratio (WHtR) yielded the most significant association with new diagnosed diabetes and physician diagnosed diabetes than other indices. Conclusion Central obesity is significantly correlated with diabetes. VFI was most correlated with pre-diabetes while WHtR is an efficient screening index than BMI and WC in Chinese community diabetes screening.
基金supported by National Key Research&Development Program of Ministry of Science and Technology of People’s Republic of China[2018YFC1311703,2018YFC1311706]。
文摘Objective We aimed to investigate and interpret the associations between socioeconomic factors and the prevalence, awareness, treatment, and control of hypertension at the provincial level in China.Methods A nationally and provincially representative sample of 179,059 adults from the China Chronic Disease and Nutrition Surveillance study in 2015–2016 was used to estimate hypertension burden. The spatial Durbin error model was fitted to investigate socioeconomic factors associated with hypertension indicators.Results Overall, it was estimated that 29.20% of the participants were hypertensive nationwide,among whom, 34.32% were aware of their condition, 27.69% had received antihypertensive treatment,and 7.81% had controlled their condition. Per capita gross domestic product(GDP) was associated with hypertension prevalence(coefficient:-2.95, 95% CI:-5.46,-0.45) and control(coefficient: 6.35, 95% CI:1.36, 11.34) among adjacent provinces and was also associated with awareness(coefficient: 2.93, 95%CI: 1.12, 4.74) and treatment(coefficient: 2.67, 95% CI: 1.21, 4.14) in local province. Beds of internal medicine(coefficient: 2.66, 95% CI: 1.08, 4.23) was associated with control in local province. Old dependency ratio(coefficient:-3.58, 95% CI:-5.35,-1.81) was associated with treatment among adjacent provinces and with control(coefficient:-1.69, 95% CI:-2.42,-0.96) in local province.Conclusion Hypertension indicators were not only directly influenced by socioeconomic factors of local area but also indirectly affected by characteristics of geographical neighbors. Population-level strategies should involve optimizing supportive socioeconomic environment by integrating clinical care and public health services to decrease hypertension burden.
基金supported by China's Ministry of Science and Technology(No.2008BAI56B04)
文摘Objective To examine the association between habitual sleep duration and obesity among Chinese adults. Methods The association of sleep duration and obesity was investigated among 7,094 community-dwelling Chinese adults. Sleep duration was self-reported. In this study, obesity was defined as follows: body mass index (BMI) ≥ 28 kg/m^2, waist circumference (WC) ≥ 85 cm in men and ≥ 80 cm in women, and percent body fat (%BF) ≥ 25 in men and ≥ 35 in women. Logistic and quantile regressions were employed to examine relationships of interest. Results Overall, 6.42% of the participants reported short sleep durations (〈 6 h/d) while 14.71% reported long (≥ 9 h/d) sleep durations. Long sleepers (≥ 9 h/d) represented a greater frequency of women with obesity [odds ratio (OR): 1.30; 95% confidence interval (CI), 1.02-1.67] and high body fat (1.43, 1.04-1.96) than those who slept 7-8 h/d. An association between long sleep times and higher BMI estimations was found across the 10th-75th percentile of the BMI distribution. Among men, long sleepers (≥ 9 h/d) presented lower risks of developing abdominal obesity compared with individuals who slept 7-8 h/d (OR = 0.79, 95% CI: 0.44-0.99). Conclusion Our study suggests that long sleep durations are associated with general obesity in Chinese women but reduced waist circumferences in men. Confirmatory studies are needed to determine the heterogeneous association of sleep time and obesity by gender.
基金supported by China's Ministry of Science&Technology(No.2008BAI56B04)
文摘Objective To understand the associations of physical activity domains with metabolic syndrome among a middle-aged Chinese population. Methods In all, 3326 professional adults aged 35-64 years from Beijing and Zhejiang province were recruited with a cluster random sampling method. The Global Physical Activity Questionnaire was modified, and the recommended Asia-Pacific cut-offs of waist circumstance were introduced into the criteria for metabolic syndrome from the Adult Treatment Panel III. A binary logistic regression model was applied to examine the association of all physical activity domains with the risk of the syndrome. Results Participants who engaged in domestic activity for 〉1176 MET-min/week had a 41.6% less chance of having metabolic syndrome [odds ratio (OR), 0.584; 95% confidence interval (CI), 0.480-0.710] than those without this activity. In adjusted models, adults who actively commuted for 〉33 MET-rain/week but 〈52g MET-min/week had a 25% less chance of having the syndrome (OR, 0.750; 95% CI, 0.582-0.966) than those who did not. No interaction was detected between the two domains of activity and the syndrome. Conclusion This study highlighted the independently negative association of traffic and house activity with the prevalence of the syndrome in this sample with a generally low level of moderate activity.