1.Secular trend and projection of overweight and obesity among Chinese children and adolescents aged 7-18 years from 1985 to 2019: Rural areas are becoming the focus of investment.
Jiajia DANG ; Yunfei LIU ; Shan CAI ; Panliang ZHONG ; Di SHI ; Ziyue CHEN ; Yihang ZHANG ; Yanhui DONG ; Jun MA ; Yi SONG
Chinese Medical Journal 2025;138(3):311-317
BACKGROUND:
The urban-rural disparities in overweight and obesity among children and adolescents are narrowing, and there is a need for long-term and updated data to explain this inequality, understand the underlying mechanisms, and identify priority groups for interventions.
METHODS:
We analyzed data from seven rounds of the Chinese National Survey on Students Constitution and Health (CNSSCH) conducted from 1985 to 2019, focusing on school-age children and adolescents aged 7-18 years. Joinpoint regression was used to identify inflection points (indicating a change in the trend) in the prevalence of overweight and obesity during the study period, stratified by urban/rural areas and sex. Annual percent change (APC), average annual percent change (AAPC), and 95% confidence interval (CI) were used to describe changes in the prevalence of overweight and obesity. Polynomial regression models were used to predict the prevalence of overweight and obesity among children and adolescents in 2025 and 2030, considering urban/rural areas, sex, and age groups.
RESULTS:
The prevalence of overweight and obesity in urban boys and girls showed an inflection point of 2000, with AAPC values of 10.09% (95% CI: 7.33-12.92%, t = 7.414, P <0.001) and 8.67% (95% CI: 6.10-11.30%, t = 6.809, P <0.001), respectively. The APC for urban boys decreased from 18.31% (95% CI: 4.72-33.67%, t = 5.926, P = 0.027) to 4.01% (95% CI: 1.33-6.75%, t = 6.486, P = 0.023), while the APC for urban girls decreased from 13.88% (95% CI: 1.82-27.38%, t = 4.994, P = 0.038) to 4.72% (95% CI: 1.43-8.12%, t = 6.215, P = 0.025). However, no inflection points were observed in the best-fit models for rural boys and girls during the period 1985-2019. The prevalence of overweight and obesity for both urban and rural boys is expected to converge at 35.76% by approximately 2027. A similar pattern is observed for urban and rural girls, with a prevalence of overweight and obesity reaching 20.86% in 2025.
CONCLUSIONS
The prevalence of overweight and obesity among Chinese children and adolescents has been steadily increasing from 1985 to 2019. A complete reversal in urban-rural prevalence is expected by 2027, with a higher prevalence of overweight and obesity in rural areas. Urgent action is needed to address health inequities and increase investments, particularly policies targeting rural children and adolescents.
Humans
;
Child
;
Adolescent
;
Female
;
Male
;
Rural Population/statistics & numerical data*
;
Overweight/epidemiology*
;
Prevalence
;
China/epidemiology*
;
Pediatric Obesity/epidemiology*
;
Obesity/epidemiology*
;
Urban Population
2.Urban-rural disparities in mortality due to stroke subtypes in China and its provinces, 2015-2020.
Yi REN ; Jia YANG ; Peng YIN ; Wei LIU ; Zheng LONG ; Chen ZHANG ; Zixin WANG ; Haijie LIU ; Maigeng ZHOU ; Qingfeng MA ; Junwei HAO
Chinese Medical Journal 2025;138(11):1345-1354
BACKGROUND:
Death burden of stroke is severe with over one-third rural residents in China, but there is still a lack of specific national and high-quality reports on the urban-rural differences in stroke burden, especially for subtypes. We aimed to update the understanding of urban-rural differences in stroke deaths.
METHODS:
This is a descriptive observational study. Data from the national mortality surveillance system, which covers 323.8 million with 605 disease surveillance points (DSPs) across all 31 provinces, municipalities, and autonomous regions in China. All deaths from stroke as the underlying cause from 2015 to 2020 according to DSPs. Crude mortality rate and age-standardized mortality rate (ASMR) were estimated through DSPs. Average annual percentage change was used to explain the change in mortality rate.
RESULTS:
From 2015 to 2020, the majority of deaths from all stroke subtypes occurred in rural areas. There were significant differences between the changes of urban and rural ASMRs. On the whole, the changes in urban areas were evidently better, and the ASMR differences were basically expanding. Stroke ASMR in urban China decreased by 15.5%. The rural ASMR of ischemic stroke increased by 12.9%. The rural and urban ASMRs of intracerebral hemorrhage decreased by 24.9% and 27.4%, and those of subarachnoid hemorrhage decreased by 29.5% and 40.4%, respectively. The highest ASMRs of all stroke subtypes and the increasing trend of ischemic stroke ASMR make rural males the focus of stroke management.
CONCLUSIONS
The death burden of stroke varies greatly between urban and rural China. Rural residents face unique challenges.
Humans
;
China/epidemiology*
;
Stroke/mortality*
;
Rural Population/statistics & numerical data*
;
Male
;
Female
;
Urban Population/statistics & numerical data*
;
Middle Aged
;
Aged
;
Aged, 80 and over
;
Adult
3.Distribution characteristics and influencing factors of overweight and obesity among urban and rural primary and secondary school students in Hunan Province.
Lixi QIN ; Miyang LUO ; Kexin LI ; Yang ZHOU ; Yanhua CHEN ; Yaqing TAN ; Fei WANG
Journal of Central South University(Medical Sciences) 2025;50(4):684-693
OBJECTIVES:
The prevalence of overweight and obesity among children and adolescents continues to rise, becoming one of the most serious global public health issues of the 21st century. Given the differing growth and development environments between urban and rural children, associated risk factors also vary. This study aims to explore the distribution characteristics and influencing factors of overweight and obesity among urban and rural primary and secondary school students in Hunan Province, providing scientific evidence for targeted interventions.
METHODS:
A stratified, randomized cluster sampling method was used to select participants. A total of 197 084 students from primary and secondary schools across 14 prefectures in Hunan Province underwent physical examinations and questionnaire surveys. Population and spatial distribution characteristics of overweight and obesity were analyzed. Spatial distribution maps and spatial autocorrelation analyses were conducted using ArcGIS. Multivariate Logistic regression was used to identify influencing factors for overweight and obesity.
RESULTS:
The overall overweight and obesity rates among students in Hunan Province were 14.7% and 10.9%, respectively. Both rates were higher in urban areas than in rural counties (16.0% vs 13.9% for overweight; 12.1% vs 10.2% for obesity). Among both urban and rural students, boys had higher rates of overweight and obesity than girls. Higher-grade students had a higher overweight rate but a lower obesity rate than lower-grade students. In urban areas, the overweight and obesity rates of Han Chinese primary and secondary school students are lower than those of ethnic minority students (both P<0.05). In rural areas, the obesity rate of Han primary and secondary school students is lower than that of ethnic students (P<0.05). Across cities and prefectures, urban overweight and obesity rates ranged from 14.7% to 18.7% and 8.4% to 20.6% respectively, while rural rates ranged from 10.9% to 17.2% and 6.6% to 13.7% respectively. Spatial autocorrelation analysis revealed high-value clusters of overweight/obesity in urban areas of Changde and Zhangjiajie, and in rural areas of Loudi, Huaihua, and Shaoyang. Multivariate Logistic regression showed that gender, school stage, ethnicity, frequency of fresh vegetable intake, and sleep duration were associated with overweight and/or obesity in both urban and rural students. In urban students, frequency of fried food and fresh fruit intake, breakfast habits, physical activity on weekdays and holidays, and screen time on computers were also significant. In rural students, TV viewing time and sedentary duration were additional relevant factors.
CONCLUSIONS
The situation of overweight and obesity among primary and secondary school students in Hunan Province remains concerning. Greater attention should be paid to regions with high-value clusters of overweight/obesity, and targeted interventions should be developed based on urban-rural differences in influencing factors.
Humans
;
China/epidemiology*
;
Adolescent
;
Male
;
Female
;
Rural Population/statistics & numerical data*
;
Child
;
Overweight/epidemiology*
;
Students/statistics & numerical data*
;
Urban Population/statistics & numerical data*
;
Risk Factors
;
Prevalence
;
Obesity/epidemiology*
;
Surveys and Questionnaires
;
Pediatric Obesity/epidemiology*
;
Schools
4.Prevalence and influencing factors of scoliosis among primary and secondary school students in Hunan Province, 2023.
Yang ZHOU ; Miyang LUO ; Jiayou LUO ; Shujuan XIAO ; Yanhua CHEN ; Yaqing TAN ; Fei WANG
Journal of Central South University(Medical Sciences) 2025;50(7):1202-1213
OBJECTIVES:
The detection rate of scoliosis among school-aged children has been rising annually, varying by region, and has become a major public health concern affecting both physical and mental health. Its onset is multifactorial, and early screening combined with targeted interventions can alter disease progression. This study aims to investigate the prevalence and influencing factors of scoliosis among primary and secondary school students in Hunan Province, providing scientific evidence for targeted prevention strategies.
METHODS:
A stratified, randomized cluster sampling method was used to select 281 401 students from 14 prefecture-level cities in Hunan Province for scoliosis screening, physical examination, and questionnaire survey. The chi-square test was used for group comparisons, and trend chi-square test analyzed differences in screening positive rate by age. A multilevel regression model was applied to identify influencing factors, and ArcGIS was used to visualize spatial distribution patterns of scoliosis.
RESULTS:
The overall screening positive rate for scoliosis among Hunan students was 1.61%. Urban areas had a significantly higher rate than rural counties (2.81% vs 0.98%; P<0.01). The rate was equal between boys and girls (1.61% each). Underweight students had a higher rate than those with normal weight, overweight, or obesity (P<0.01). Stratified by age, urban students aged 6-18 years consistently showed higher positive rates than rural peers (P<0.001). No significant gender differences were observed at most ages (all P>0.05), except at age 11, where the females had a higher rate (1.28% vs 1.02%; P=0.048). After age 11, underweight students exhibited significantly higher positive rates than those with normal or higher BMI(all P<0.05). Across all groups, urban/rural, male/female, underweight/normal/overweight/obese, the scoliosis rate increased with age. By region, the screening positive rate ranged from 0.38% to 3.36%, with the top three being Chenzhou (3.36%), Xiangtan (2.78%), and Hengyang (2.71%), while the lowest was Xiangxi Tujia and Miao Autonomous Prefecture (0.38%). Multilevel regression analysis revealed that age (OR=1.160, 95% CI 1.135 to 1.186) and urban residence (OR=2.497, 95% CI 1.946 to 3.205) were positively associated with scoliosis risk (both P<0.01). Conversely, female gender (OR=0.931, 95% CI 0.874 to 0.993), normal nutritional status (OR=0.751, 95% CI 0.671 to 0.840), overweight (OR=0.513, 95% CI 0.447 to 0.590), obesity (OR=0.418, 95% CI 0.358 to 0.489), and engaging in ≥ 60 minutes of moderate-to-vigorous physical activity 2 to 4 days (OR=0.928, 95% CI 0.865 to 0.996) or 5 to 7 days per week (OR=0.912, 95% CI 0.833 to 0.998) were negatively associated with scoliosis risk (all P<0.05).
CONCLUSIONS
The prevalence of scoliosis among primary and secondary school students in Hunan Province is relatively high and is significantly associated with age, gender, urban-rural status, nutritional condition, and physical activity frequency. Targeted interventions and enhanced monitoring in high-risk regions and populations are essential to prevent and control scoliosis.
Humans
;
Scoliosis/epidemiology*
;
Male
;
Female
;
Adolescent
;
China/epidemiology*
;
Prevalence
;
Child
;
Students/statistics & numerical data*
;
Rural Population/statistics & numerical data*
;
Urban Population/statistics & numerical data*
;
Surveys and Questionnaires
;
Risk Factors
;
Thinness/epidemiology*
5.Association of Body Mass Index with All-Cause Mortality and Cause-Specific Mortality in Rural China: 10-Year Follow-up of a Population-Based Multicenter Prospective Study.
Juan Juan HUANG ; Yuan Zhi DI ; Ling Yu SHEN ; Jian Guo LIANG ; Jiang DU ; Xue Fang CAO ; Wei Tao DUAN ; Ai Wei HE ; Jun LIANG ; Li Mei ZHU ; Zi Sen LIU ; Fang LIU ; Shu Min YANG ; Zu Hui XU ; Cheng CHEN ; Bin ZHANG ; Jiao Xia YAN ; Yan Chun LIANG ; Rong LIU ; Tao ZHU ; Hong Zhi LI ; Fei SHEN ; Bo Xuan FENG ; Yi Jun HE ; Zi Han LI ; Ya Qi ZHAO ; Tong Lei GUO ; Li Qiong BAI ; Wei LU ; Qi JIN ; Lei GAO ; He Nan XIN
Biomedical and Environmental Sciences 2025;38(10):1179-1193
OBJECTIVE:
This study aimed to explore the association between body mass index (BMI) and mortality based on the 10-year population-based multicenter prospective study.
METHODS:
A general population-based multicenter prospective study was conducted at four sites in rural China between 2013 and 2023. Multivariate Cox proportional hazards models and restricted cubic spline analyses were used to assess the association between BMI and mortality. Stratified analyses were performed based on the individual characteristics of the participants.
RESULTS:
Overall, 19,107 participants with a sum of 163,095 person-years were included and 1,910 participants died. The underweight (< 18.5 kg/m 2) presented an increase in all-cause mortality (adjusted hazards ratio [ aHR] = 2.00, 95% confidence interval [ CI]: 1.66-2.41), while overweight (≥ 24.0 to < 28.0 kg/m 2) and obesity (≥ 28.0 kg/m 2) presented a decrease with an aHR of 0.61 (95% CI: 0.52-0.73) and 0.51 (95% CI: 0.37-0.70), respectively. Overweight ( aHR = 0.76, 95% CI: 0.67-0.86) and mild obesity ( aHR = 0.72, 95% CI: 0.59-0.87) had a positive impact on mortality in people older than 60 years. All-cause mortality decreased rapidly until reaching a BMI of 25.7 kg/m 2 ( aHR = 0.95, 95% CI: 0.92-0.98) and increased slightly above that value, indicating a U-shaped association. The beneficial impact of being overweight on mortality was robust in most subgroups and sensitivity analyses.
CONCLUSION
This study provides additional evidence that overweight and mild obesity may be inversely related to the risk of death in individuals older than 60 years. Therefore, it is essential to consider age differences when formulating health and weight management strategies.
Humans
;
Body Mass Index
;
China/epidemiology*
;
Male
;
Female
;
Middle Aged
;
Prospective Studies
;
Rural Population/statistics & numerical data*
;
Aged
;
Follow-Up Studies
;
Adult
;
Mortality
;
Cause of Death
;
Obesity/mortality*
;
Overweight/mortality*
6.Gender-Specific Prevalence and Risk Factors of Hypertension in a Chinese Rural Population: The Henan Rural Cohort Study.
Fayaz AHMAD ; Tahir MEHMOOD ; Xiao Tian LIU ; Ying Hao YUCHI ; Ning KANG ; Wei LIAO ; Rui Yu WU ; Bota BAHETI ; Xiao Kang DONG ; Jian HOU ; Sohail AKHTAR ; Chong Jian WANG
Biomedical and Environmental Sciences 2025;38(11):1417-1429
OBJECTIVE:
To investigate hypertension (HTN) trends, key risk factors, and gender disparities in rural China, and to propose targeted strategies for improving HTN control in resource-limited settings.
METHODS:
This longitudinal study used data from the Henan Rural Cohort Study, including baseline (2015-2017; n = 39,224) and follow-up (2018-2022; n = 28,621) participants. HTN was defined as systolic/diastolic blood pressure ≥ 140/90 mmHg, self-reported diagnosis, or use of antihypertensive medication. Severity was classified using a 7-tier blood pressure (BP) staging system (optimal, normal, high normal, and HTN stages 1-4). A generalized linear mixed-effects model (GLMM) identified associated risk factors.
RESULTS:
HTN prevalence increased modestly from 32.7% (95% CI: 32.2-33.2) to 33.9% (95% CI: 33.3%-34.4%). Awareness and treatment improved from 20.1% to 25.3%, and from 18.8% to 24.4%, respectively, but control rates remained low (6.2% to 12.3%). After adjustment, women had a 1.53-fold higher HTN risk than men ( OR = 1.53, 95% CI: 1.43-1.63), revealing gender-specific trends. Key risk factors included alcohol use ( OR = 1.37, 95% CI: 1.27-1.47) and overweight status ( OR = 1.76, 95% CI: 1.66-1.86). BP staging showed an increase in optimal BP (42.3% to 45.8%), but stagnant management of advanced HTN stages.
CONCLUSION
Hypertension in rural China is shaped by behavioral risk factors and healthcare access gaps. Gender-sensitive, community-based interventions, including task-shifting models, are necessary to mitigate the growing burden of hypertension.
Humans
;
Hypertension/etiology*
;
China/epidemiology*
;
Female
;
Male
;
Rural Population/statistics & numerical data*
;
Prevalence
;
Risk Factors
;
Middle Aged
;
Adult
;
Aged
;
Longitudinal Studies
;
Sex Factors
;
Cohort Studies
;
East Asian People
7.A comorbidity survey of growth retardation and obesity in Chinese children aged 7-12 years and analysis of influencing factors.
Shuai ZHANG ; Cheng-Yue LI ; Zhi-Dong ZHOU
Chinese Journal of Contemporary Pediatrics 2024;26(12):1275-1281
OBJECTIVES:
To investigate the changing trends and influencing factors for growth retardation-related obesity in Chinese children aged 7-12 years in 2010-2020, providing a basis for formulating physical health interventions for children.
METHODS:
The data of body height and body mass index were collected from 16 289 children aged 7-12 years in the China Family Panel Studies (CFPS) in 2010-2020, and the trends of growth retardation, obesity, and growth retardation-related obesity in 2010-2020 were analyzed and compared between different sexes and between urban and rural areas.
RESULTS:
From 2010 to 2020, the overall rates of growth retardation and growth retardation-related obesity among children aged 7-12 years in China showed a declining trend (P<0.05). By gender and urban-rural classification, the overall obesity rate from 2010 to 2020 showed an increasing trend in all groups except for the rural male and female children groups, the rural children group, and the female children group (P<0.05). The prevalence rates of growth retardation, obesity, and growth retardation-related obesity in male children were significantly higher than those in female children, and similarly, these indicators were also significantly higher in rural children compared to urban children (P<0.05). Urban/rural residence, age, sex, and year were influencing factors for growth retardation and growth retardation-related obesity in children aged 7-12 years (P<0.05).
CONCLUSIONS
The prevalence of growth retardation, obesity, and growth retardation-related obesity among Chinese children aged 7-12 years shows gender and urban-rural disparities, which highlights the needs for targeted interventions for boys and children in rural areas.
Child
;
Female
;
Humans
;
Male
;
Body Mass Index
;
China/epidemiology*
;
Comorbidity
;
East Asian People
;
Growth Disorders/etiology*
;
Rural Population/statistics & numerical data*
;
Pediatric Obesity/epidemiology*
8.Incidence and risk factors of female sexual dysfunction in urban and rural China: a 4-year prospective cohort study.
Haiyu PANG ; Mingyu SI ; Tao XU ; Zhaoai LI ; Jian GONG ; Qing LIU ; Yuling WANG ; Juntao WANG ; Zhijun XIA ; Lan ZHU
Frontiers of Medicine 2024;18(6):1002-1012
This study aimed to investigate the incidence and risk factors for female sexual dysfunction (FSD) in urban and rural China. A prospective cohort study was conducted from February 2014 to January 2016, with follow-up from June to December 2018. Women aged ≽20 years were recruited from urban and rural areas in six provinces of China using a multistage, stratified, cluster sampling method. Sexual function was assessed using the Female Sexual Function Index questionnaire. A total of 16 827 women without sexual dysfunction at baseline participated in this study, 9489 of them (urban, 5321; rural, 4168) who had complete information from baseline to follow-up were included in the final analysis. The rate of follow-up was 68.81%, and the median follow-up time was 4.13 years. The 4-year incidence of FSD was 43.07%, with an incidence density of 12.02 per 100 person-years. In particular, the 4-year incidence and incidence density of FSD were 41.03% and 11.88 per 100 person-years in the urban group and 45.68% and 12.17 per 100 person-years in the rural group. Among women with sexual dysfunction, difficulties in sexual desire, satisfaction, and arousal were the main symptoms. In urban women, the risk factors for FSD included age ≽45 years (adjusted relative risk 1.69, 95% confidence interval 1.57-1.81), hypertension (1.31, 1.14-1.49), previous delivery (1.26, 1.13-1.41), post-menopausal status (1.20, 1.10-1.32), pelvic inflammatory disease (1.13, 1.05-1.21), and multiparity (1.11, 1.03-1.19). In the rural group, the risk factors significantly associated with FSD were age ≽45 years (1.50, 1.40-1.61), previous delivery (1.39, 1.17-1.65), hypertension (1.18, 1.06-1.30), multiparity (1.16, 1.07-1.27), and post-menopausal status (1.15, 1.07-1.23). FSD is a hidden epidemic condition in China, and the development of prevention strategies should consider the distinct risk factors present in rural and urban areas.
Humans
;
Female
;
China/epidemiology*
;
Prospective Studies
;
Risk Factors
;
Adult
;
Incidence
;
Rural Population/statistics & numerical data*
;
Middle Aged
;
Urban Population/statistics & numerical data*
;
Sexual Dysfunction, Physiological/epidemiology*
;
Sexual Dysfunctions, Psychological/epidemiology*
;
Surveys and Questionnaires
;
Young Adult
9.Association of Residential Greenness with the Prevalence of Metabolic Syndrome in a Rural Chinese Population: the Henan Rural Cohort Study.
Ya Ling HE ; Xiao Tian LIU ; Run Qi TU ; Ming Ming PAN ; Miao Miao NIU ; Gong Bo CHEN ; Jian HOU ; Zhen Xing MAO ; Wen Qian HUO ; Shan Shan LI ; Yu Ming GUO ; Chong Jian WANG
Biomedical and Environmental Sciences 2022;35(1):89-94

Result Analysis
Print
Save
E-mail