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.Proportion and clinical characteristics of metabolic-associated fatty liver disease and associated liver fibrosis in an urban Chinese population.
Mengmeng HOU ; Qi GU ; Jiawei CUI ; Yao DOU ; Xiuhong HUANG ; Jie LI ; Liang QIAO ; Yuemin NAN
Chinese Medical Journal 2025;138(7):829-837
BACKGROUND:
Metabolic-associated fatty liver disease (MAFLD) is the predominant form of chronic liver disease worldwide. This study was designed to investigate the proportion and characteristics of MAFLD within the general Chinese population and to identify the contributory risk factors for liver fibrosis among MAFLD individuals.
METHODS:
The participants were recruited from a cohort undergoing routine health evaluations at the Third Hospital of Hebei Medical University between May 2019 and March 2023. The diagnosis of MAFLD was based on the established clinical practice guidelines. The fibrosis-4 index score (FIB-4) was employed to evaluate hepatic fibrosis, with a FIB-4 score of ≥1.3 indicating significant fibrosis. Binary logistic regression analyses were used to determine risk factors associated with significant hepatic fibrosis in MAFLD.
RESULTS:
A total of 22,970 participants who underwent comprehensive medical examinations were included in the analysis. The overall proportion of MAFLD was 28.77% (6608/22,970), with 16.87% (1115/6608) of these patients showing significant fibrosis as assessed using FIB-4. Independent risk factors for significant liver fibrosis in MAFLD patients were male (odds ratio [OR] = 0.676, 95% confidence interval [CI]: 0.558-0.821), hepatitis B surface antigen (HBsAg) positivity (OR = 2.611, 95% CI: 1.557-4.379), body mass index ≥23.00 kg/m 2 (OR = 0.632, 95% CI: 0.470-0.851), blood pressure ≥130/85 mmHg (OR = 1.885, 95% CI: 1.564-2.272), and plasma glucose ≥5.6 mmol/L (OR = 1.815, 95% CI: 1.507-2.186) (all P <0.001).
CONCLUSIONS
The proportion of MAFLD in an urban Chinese population is 28.77%. About 16.87% of MAFLD patients presented with significant liver fibrosis. Independent risk factors for significant liver fibrosis in MAFLD patients should be noticed.
Humans
;
Male
;
Female
;
Liver Cirrhosis/pathology*
;
Middle Aged
;
Risk Factors
;
Adult
;
Fatty Liver/pathology*
;
Aged
;
China/epidemiology*
;
Logistic Models
;
Urban Population
;
East Asian People
3.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
4.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
5.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*
6.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
7.A study on knowledge, attitude, and vaccination behavior of herpes zoster vaccine among urban residents in selected areas of China.
Ming WANG ; Chao LONG ; Ming Zheng HU ; Yan Shang WANG ; Yi Qi XIA ; Bei Bei YUAN ; Da Wei ZHU ; Ping HE
Chinese Journal of Epidemiology 2023;44(6):899-904
Objective: To understand the knowledge, attitude, and current status of vaccination of herpes zoster vaccination among urban residents aged 25 years and above in China. Methods: In August to October 2022, a convenience sampling method was used to survey residents aged 25 years and above at 36 community centers in 9 cities across China. Questionnaires were used to collect basic information, knowledge, and attitude toward herpes zoster and its vaccination, as well as vaccination status and reasons for non-vaccination among residents. Results: A total of 2 864 urban residents were included in the study. The total score of residents' cognition of herpes zoster and its vaccine was 3.01±2.08, and the total score of their attitude was 18.25±2.76. Factors such as being male (β=-0.45, P<0.001), older than 40-59 years (β=-0.34, P=0.023) or ≥60 years (β=-0.68, P<0.001), married (β=-0.69, P=0.002) were negatively associated with knowledge score. The educational level of high school or secondary school (β=0.44, P=0.036), college (β=0.65, P=0.006), bachelor's degree and above (β=1.20, P<0.001), annual net household income ≥120 000 Yuan in 2021 (β=0.42, P=0.020), having urban employee medical insurance (β=0.62, P=0.030), having public or commercial medical insurance (β=0.65, P=0.033), and having a history of chickenpox (β=0.29, P=0.025) were positively associated with knowledge scores. Being male (β=-0.38, P=0.008) and not remembering a history of chickenpox (β=-0.49, P=0.012) were negatively associated with attitude scores. Annual net household income in 2021 was between 40 000-80 000 Yuan (β=0.44, P=0.032) or between 80 000-120 000 Yuan (β=0.62, P=0.002) or ≥120 000 Yuan (β=0.93, P<0.001), and a history of herpes zoster (β=0.59, P=0.004) were positively associated with attitude scores. Of the 2 864 residents surveyed, only 29 (1.01%) had received the herpes zoster vaccine, with a vaccination rate of 1.70% for those aged 50 years and above, with the main reason for non-vaccination being lack of knowledge about the herpes zoster vaccine, followed by the high price. 42.67% of the population said they would consider getting the herpes zoster vaccine in the future. Conclusion: Low knowledge of herpes zoster and its vaccine, positive attitudes towards the preventive effects of herpes zoster and its vaccine, and extremely low vaccination rates among the urban population in China call for multiple measures to strengthen health education and vaccination recommendations for residents, especially for the elderly, low-education and low-income populations.
Aged
;
Male
;
Humans
;
Female
;
Herpes Zoster Vaccine
;
Chickenpox
;
Health Knowledge, Attitudes, Practice
;
Urban Population
;
Herpes Zoster/prevention & control*
;
China
8.Association between different growth patterns and metabolic syndrome in children and adolescents aged 7 to 17 years.
Meng Jie CUI ; Qi MA ; Man Man CHEN ; Tao MA ; Xin Xin WANG ; Jie Yu LIU ; Yi ZHANG ; Li CHEN ; Jia Nuo JIANG ; Wen YUAN ; Tong Jun GUO ; Yan Hui DONG ; Jun MA ; Yi XING
Journal of Peking University(Health Sciences) 2023;55(3):415-420
OBJECTIVE:
To analyze the association between different growth patterns and metabolic syndrome in children and adolescents aged 7 to 17 years, and to provide suggestions for the prevention and control of metabolic syndrome in Chinese children and adolescents.
METHODS:
Data were collected from the research project "Development and Application of Technology and Related Standards for Prevention and Control of Major Diseases among Students" of public health industry in 2012. This project is a cross-sectional study design. A total of 65 347 students from 93 primary and secondary schools in 7 provinces including Guangdong were selected by stratified cluster random sampling method. Given the budget, 25% of the students were randomly selected to collect blood samples. In this study, 10 176 primary and middle school students aged 7 to 17 years with complete physical measurements and blood biochemical indicators were selected as research objects. Chi-square test was used to compare the distribution differences of growth patterns under different demographic characteristics. Birth weight, waist circumference and blood biochemical indexes were expressed in the form of mean ± standard deviation, and the differences among different groups were compared by variance analysis. Binary Logistic regression model was used to analyze the relationship between different growth patterns and metabolic syndrome in children and adolescents aged 7 to 17 years.
RESULTS:
The prevalence of metabolic syndrome in children and adolescents was 6.56%, 7.18% in boys and 5.97% in girls. The risk of metabolic syndrome was higher in the catch-down growth group than in the normal growth group (OR=1.417, 95%CI: 1.19-1.69), and lower in the catch-up growth group(OR=0.66, 95%CI: 0.53-0.82). After adjusting for gender, age and so on, the risk of developing metabolic syndrome in the catch-down growth group was higher than that in the normal growth group (OR=1.25, 95%CI: 1.02-1.52), but there was no significant difference between the catch-up growth group and the normal growth group (OR=0.79, 95%CI: 0.62-1.01). Stratified analysis showed that the association between different growth patterns and metabolic syndrome was statistically significant in the 7-12 years group, urban population, and Han Chinese student population.
CONCLUSION
There is a correlation between different growth patterns and metabolic syndrome in children and adolescents. The risk of developing metabolic syndrome in children and adolescents with catch-down growth is higher than that in the normal growth group, which suggests that attention should be paid to the growth and development of children and adolescents, timely correction of delayed growth and prevention of adverse health outcomes.
Male
;
Female
;
Humans
;
Child
;
Adolescent
;
Metabolic Syndrome/epidemiology*
;
Cross-Sectional Studies
;
Students
;
Urban Population
;
Asian People
;
China/epidemiology*
;
Prevalence
9.Cancer statistics in China, 2016.
Rong Shou ZHENG ; Si Wei ZHANG ; Ke Xin SUN ; Ru CHEN ; Shao Ming WANG ; Li LI ; Hong Mei ZENG ; Wen Qiang WEI ; Jie HE
Chinese Journal of Oncology 2023;45(3):212-220
Objective: Data for 2016 from cancer registries were used to estimate cancer incidence and mortality in China in 2016. Methods: According to the quality control process of the National Central Cancer Registry, the data from 683 cancer registries submitted by each province were evaluated, and the data of 487 cancer registries were qualified and included in the final analysis. Age-specific incidence and mortality rates were calculated by area (urban/rural), sex, age and cancer site, combined with national population data to estimate cancer incidence and mortality in China in 2016. Chinese population census in 2000 and Segi's population were used for age-standardized incidence and mortality rates. Results: Total population covered by 487 cancer registries was 381 565 422 (192 628 370 in urban and 188 937 052 in rural areas). The percentages of morphologically verified (MV%) and death certificate-only cases (DCO%) accounted for 68.31% and 1.40%, respectively, and the mortality to incidence ratio was 0.61. It was estimated about 4 064 000 new cases occurred in China in 2016, with the crude incidence rate being 293.91/100 000 (the rates of males and females were 315.52/100 000 and 271.23/100 000), age-standardized incidence rates by Chinese standard population (ASIRC) and by world standard population (ASIRW) were 190.76/100 000 and 186.46/100 000, with the cumulative incidence rate (0-74 years old) being 21.42%. The crude incidence and ASIRC were 314.74/100 000 and 196.38/100 000 in urban areas, whereas in rural areas, they were 265.90/100 000 and 182.21/100 000, respectively. It was estimated about 2 413 500 cancer deaths occurred in China in 2016, the crude mortality rate was 174.55/100 000 (216.16/100 000 in males and 130.88/100 000 in females), the age-standardized mortality rates by Chinese standard population (ASMRC) and by world standard population (ASMRW) were 106.00/100 000 and 105.19/100 000, and the cumulative mortality rate (0-74 years old) was 11.85%. The crude mortality and ASMRC were 180.31/100 000 and 104.44/100 000 in urban areas, whereas in rural areas, they were 166.81/100 000 and 108.01/100 000, respectively. The most common cancer cases include lung, colorectal, stomach, liver and female breast cancers. The top five cancers accounted for about 57.27% of all cancer cases. The most common cancer deaths included lung, liver, stomach, colorectal and esophageal cancers. The top five cancers accounted for about 69.25% of all cancer deaths. Conclusions: The burden of cancer shows a continuous increasing trend in China. Regional and gender differences in cancer burden are obvious. The cancer patterns still show the coexistence of cancer patterns in developed countries and developing countries. The situation of cancer prevention and control is still serious in China.
Male
;
Humans
;
Female
;
Infant, Newborn
;
Infant
;
Child, Preschool
;
Child
;
Adolescent
;
Young Adult
;
Adult
;
Middle Aged
;
Aged
;
Urban Population
;
Breast Neoplasms
;
Esophageal Neoplasms
;
Rural Population
;
China/epidemiology*
;
Registries
;
Incidence
;
Colorectal Neoplasms
10.Effect of Age and Sex on Stroke Mortality of Young and Middle-aged Adults in China, 2002-2019, and Predictions to 2030.
Yi ZHAI ; Xiang SI ; Wen Zhi WANG ; Wen Hua ZHAO
Biomedical and Environmental Sciences 2023;36(4):305-312
OBJECTIVE:
This study aimed to examine the trends in stroke mortality among young and middle-aged adults in China.
METHODS:
Data were obtained from the China national vital registration system. Significant changes in mortality were assessed by Joinpoint regression. Age-period-cohort analysis was used to explain the reasons for the changes. Future mortality and counts were predicted by the Bayesian age-period-cohort model.
RESULTS:
Between 2002 and 2019, a total of 6,253,951 stroke mortality in young and middle-aged adults were recorded. The age-adjusted mortality rates (AAMRs) of women showed a downward trend. The annual percent changes (APC) were -3.5% (-5.2%, -1.7%) for urban women and -2.8% (-3.7%, -1.9%) for rural women. By contrast, the AAMRs per 100,000 for rural men aged 25-44 years continued to rise from 9.40 to 15.46. The AAMRS for urban men aged 25-44 years and urban and rural men aged 45-64 years did not change significantly. Between 2020 and 2030, the projected stroke deaths are 1,423,584 in men and 401,712 in women.
CONCLUSION
Significant sex and age disparities in the trends of stroke mortality among young and middle-aged adults were identified in China. Targeted health policy measures are needed to address the burden of stroke in the young generation, especially for rural men, with a focus on the prevention and management of high risk factors.
Middle Aged
;
Male
;
Adult
;
Humans
;
Female
;
Bayes Theorem
;
Urban Population
;
Stroke/epidemiology*
;
Cohort Studies
;
China/epidemiology*
;
Mortality

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