Background With China's socio-economic development, the dietary structure of Chinese residents has gradually shifted from a traditional Eastern pattern characterized by high carbohydrate intake to a relatively high-fat Western dietary model, alongside a growing burden of chronic diseases. However, dietary changes may vary across different occupational groups. Objective To analyze the long-term trends in dietary energy and three major macronutrient intake among various occupational groups aged 18-59 years in nine provinces of China from 1989 to 2018, providing a scientific basis for developing occupation-specific dietary intervention strategies. Methods Based on 11 waves of data (1989–2018) from the China Health and Nutrition Survey (CHNS), 57458 employed individuals aged 18-59 years were selected as observation subjects after applying inclusion and exclusion criteria. Joinpoint regression was used to analyze temporal trends by calculating the annual percentage change (APC) and average annual percentage change (AAPC) with 95% confidence intervals. The analysis covered the energy supply ratio from the three major macronutrients and the proportion of the participants within the acceptable macronutrient distribution ranges (AMDR) for the total occupational population and specific occupational group. Results From 1989 to 2018, the dietary structure of the occupational population in the nine provinces gradually Westernized. The carbohydrate energy supply ratio showed a decreasing trend (AAPC=−0.77%, 95%CI: −1.00%, −0.55%, P<0.05), while the fat energy supply ratio increased (AAPC=1.42%, 95%CI: 1.07%, 1.77%, P<0.05). The protein energy supply ratio remained largely unchanged (AAPC=−0.19%, 95%CI: −0.08%, 0.46%, P>0.05), and the total energy intake declined (AAPC=−0.62%, 95%CI: −0.94%, −0.30%, P<0.05). Among the occupational groups studied, white-collar workers were the first to show characteristics of dietary Westernization. Using the AMDR as the criterion, their average fat energy supply ratio first exceeded the AMDR upper limit (30%) in 1993, and their average carbohydrate energy supply ratio first fell below the AMDR lower limit (50%) in 2006, both time points being earlier than other occupational groups. Agricultural workers lagged in this transition (their average fat energy supply ratio first reached ≥30% in 2011), but their rate of increase in the fat energy supply ratio was the fastest among all occupational groups (AAPC=1.59%, 95%CI: 0.90%, 2.30%, P<0.05; P for trend comparison between groups<0.05). The other three occupational groups (blue-collar workers, service workers, and others) generally fell between these two extremes. Taking the fat energy supply ratio as an example, their AAPCs of increase were 1.02% (95%CI: 0.73%, 1.32%, P<0.05) for blue-collar workers, 0.85% (95%CI: 0.61%, 1.09%, P<0.05) for service workers, and 0.88% (95%CI: 0.58%, 1.17%, P<0.05) for others. Conclusion From 1989 to 2018, the macronutrient structure of the occupational population aged 18-59 years in nine China provinces is gradually Westernized. The energy supply ratios of carbohydrates and proteins primarily face issues of potential inadequacy, while the fat energy supply ratio is excessively high. Furthermore, the patterns of change vary among different occupational groups. It is recommended to propose personalized dietary advice tailored to specific occupations.

Background With China's socioeconomic development, significant lifestyle changes have occurred among occupational groups, leading to alterations in cardiovascular metabolic risk factors. However, few studies have examined the secular trends of these risk factors in China's working population. Objective To analyze the trends in cardiovascular metabolic risk factors among the occupational population in nine provinces of China from 2009 to 2018, and to explore the associations between different occupational types and these risk factors, along with their clustering patterns, thereby providing evidence for targeted interventions. Methods This study utilized data from the China Health and Nutrition Survey (CHNS) in 2009, 2015, and 2018. The dataset covered 13274 employed individuals aged 18-59 years. Only participants with complete blood test results and physical measurement data were included in the final analysis. The average annual percentage change (AAPC) in the positive rates of risk factors was calculated using Joinpoint regression to analyze temporal trends. Multinomial logistic regression and binary logistic regression models were employed to examine the cross-sectional associations between occupational types (categorized as white-collar workers, agricultural workers, blue-collar workers, service workers, and others) and nine cardiovascular metabolic risk factors and their clustering (defined as having ≥2 risk factors) in 2018. Results A total of 8451 participants were included. From 2009 to 2018, significant increasing trends (AAPC>0, P<0.05) were observed for overweight, obesity, central obesity, borderline elevated triglycerides (TG), borderline elevated to elevated total cholesterol (TC), borderline elevated low-density lipoprotein cholesterol (LDL-C), elevated blood pressure and hypertension, diabetes. The most rapid increases were found for obesity (AAPC=6.07%, 95%CI: 3.42%, 8.88%), hypertension (AAPC=4.10%, 95%CI: 0.62%, 7.77%), and central obesity (AAPC=3.27%, 95%CI: 1.24%, 5.36%). The clustering rate of risk factors increased from 62.3% in 2009 to 73.2% in 2018 (AAPC=1.87%, 95%CI: 1.02%, 2.73%). The cross-sectional analysis in 2018, after adjusting for confounders, showed that compared with white-collar workers, blue-collar workers had a significantly lower risk of overweight (OR=0.67, 95%CI: 0.48, 0.95), central obesity (OR=0.65, 95%CI: 0.45, 0.92), and borderline high TG (OR=0.54, 95%CI: 0.35, 0.82). In contrast, agricultural workers had a higher risk of hypertension (OR=1.76, 95%CI: 1.14, 2.72). Conclusion Between 2009 and 2015, the burden of most cardiometabolic risk factors increases significantly among the Chinese occupational population, with the rate of increase slowing by 2018. Risks vary across occupational types, among which blue- collar workers report lower target outcomes. Targeted interventions focusing on the rapidly increasing risk factors and high-risk occupational groups are recommended.

Background The global prevalence of obesity is on the rise and is closely associated with various chronic non-communicable diseases such as cardiovascular diseases and diabetes. There is a relative lack of long-term dynamic studies on compound obesity among occupational populations. Objective To explore the changing trends of compound obesity among different occupational groups aged 18–59 years in nine provinces (autonomous regions, municipalities) of China from 1993 to 2018, and to provide a scientific basis for formulating targeted weight management strategies for occupational populations. Methods A total of 34519 employed adults aged 18–59 years from nine waves of the China Health and Nutrition Survey in1993, 1997, 2000, 2004, 2006, 2009, 2011, 2015, and 2018 were included. Obesity types were determined according to the Chinese Adult Weight Management Guidelines. The Joinpoint regression model was used to calculate the average annual percentage change (AAPC) and annual percentage change (APC) of compound obesity rates. Results From 1993 to 2018, the age-standardized compound obesity rate among the occupational population aged 18–59 years showed an upward trend (AAPC=6.24%, 95%CI: 5.09%, 7.41%, P<0.05). The AAPCs (95%CI) for age-standardized compound obesity rates among agricultural workers, blue-collar workers, other occupational groups, service workers, and white-collar workers were 9.55% (7.51%, 11.64%), 6.18% (4.70%, 7.69%), 5.53% (2.27%, 8.90%), 4.07% (2.40%, 5.77%), and 3.89% (2.16%, 5.65%), respectively, with statistically significant differences (P<0.05). Among males, the AAPCs (95%CI) for age-standardized compound obesity rates among agricultural workers, blue-collar workers, other occupational groups, service workers, and white-collar workers were 11.52% (7.71%, 15.47%), 7.28% (6.18%, 8.40%), 5.92% (2.28%, 9.69%), 5.56% (2.11%, 9.12%), and 4.22% (2.33%, 6.15%), respectively, with statistically significant differences (P<0.05). Among females, the AAPCs (95%CI) for age-standardized compound obesity rates among agricultural workers, blue-collar workers, and white-collar workers were 7.45% (6.22%, 8.69%), 3.72% (0.84%, 6.67%), and 2.41% (0.17%, 4.70%), respectively, with statistically significant differences (P<0.05). A turning point was observed in the compound obesity rate among female white-collar workers in 2006, with an APC (95%CI) of 9.69% (5.24%, 14.33%) from 2006 to 2008, showing a statistically significant difference (P<0.05), while no significant trend was found from 1993 to 2006 (P>0.05). No significant trends were observed in the age-standardized compound obesity rates among females in other occupational groups and service workers (P>0.05). Conclusion The compound obesity rate among China's occupational population is increasing rapidly, with the growth rate among agricultural workers being particularly prominent. In 2018, male white-collar workers and female agricultural workers exhibit relatively high compound obesity rates, warranting focused attention. Although the overall growth rate among service workers is slower, the expanding workforce in this sector indicates that obesity remains a serious issue. Targeted occupational health and weight management interventions are needed in the future.

Background With rising obesity rates and earlier hypertension onset among occupational populations, there is an urgent need to elucidate the long-term cardiovascular impacts of dynamic body weight patterns. Current evidence lacks trajectory modeling studies examining occupation-specific prevention strategies. Objective To investigate the association between long-term body mass index (BMI) trajectories and incident hypertension risk in Chinese working adults, and to examine occupation-specific heterogeneity in this relationship. Methods A dynamic sub-cohort of 4 413 occupational participants was constructed from ten survey waves (1991–2018) of the China Health and Nutrition Survey (CHNS). Eligible individuals had valid key BMI records at three or more independent follow-ups before the outcome event; the individual baseline was set as the year of their first participation in the survey. Group-based trajectory modeling (GBTM) was used to identify BMI change patterns. Cox proportional hazards regression was used to calculate hazard ratios (HRs) and 95% confidence interval (CI) for hypertension incidence across trajectory groups, with stratified analysis by occupational categories. Results Among 4413 occupational participants, 1441 incident hypertension cases were reported during the follow-up window. Three long-term BMI trajectories were identified: low-stable, moderate-slowly rising, and high-rising. In Model 3 with all selected confounders adjusted, compared with the low-stable group, the moderate-slowly rising group showed a significantly higher risk of incident hypertension (HR=1.28, 95%CI: 1.12, 1.45; P < 0.001), as did the high-increasing group (HR=1.80, 95%CI: 1.45, 2.23; P < 0.001). The stratified analyses revealed occupational differences in the association. Among agricultural workers, the moderate-slowly rising group (HR=1.35, 95%CI: 1.15, 1.57) and the high-rising group (HR=2.00, 95%CI: 1.50, 2.66) both exhibited significantly increased risks of hypertension (P<0.001). Conversely, among white-collar workers, an increased risk of hypertension was observed only in the high-rising group (HR=1.97, 95%CI: 1.23, 3.17; P<0.05). Conclusion Rapid BMI escalation constitutes a significant risk factor for incident hypertension in occupational populations. Targeted long-term weight monitoring and tailored interventions are recommended for high-risk occupations.

Objective:Analyze the mediating and moderating effects of the relationship between food intake and blood glucose levels.Methods:This study uses data from the China Health and Nutrition Survey project in the survey 2018, involving 11 043 adults aged 18 years or older, who have complete dietary data, waist circumference (WC), glycated hemoglobin A1c (HbA1c) indicators, and other key variables. Food consumption data was gathered via three consecutive 24-hour dietary recalls and weighing accounting method, which included two weekdays and one weekend day. The average daily intake of various foods and total energy intake were calculated. The mediation effect and moderation effect analysis were conducted using simple mediation models, direct moderation effect models, and moderated mediation analysis theoretical models. The confidence interval method (bootstrap method) was performed for testing and analysis.Results:A total of 4 951 males and 6 092 females were included in the stratified analysis by gender. The mediating effects on the rice, wheat, and red meat→WC→HbA1c were all statistically significant in males. The standardized coefficients were -0.009 ( P<0.001), 0.013 ( P<0.001), and -0.005 ( P=0.008), respectively. In females, the mediating effect on the wheat→WC→HbA1c was statistically significant, and the standardized coefficient was 0.017 ( P<0.001); the impact of red meat intake on HbA1c is negatively regulated by the intake of dark vegetables, with a direct moderating effect; the standardized coefficient of the interaction term between red meat and dark vegetables was -0.024 ( P=0.008). Dark vegetables have a moderated mediator on the pathway from rice to WC and HbA1c ( a3b1=-0.003, P=0.041) in males. The mediating effect of WC is negatively regulated by the intake of dark vegetables (mediation effect difference U1/-1=-0.006, P=0.048). Dark vegetables showed a moderated mediator on the pathway from wheat to WC and HbA1c ( a3b1=-0.004, P=0.045) in females. The mediating effect of WC is negatively regulated by the intake of dark vegetables (mediation effect difference U1/-1=-0.009, P=0.049). Conclusions:Changes in WC indicators caused by rice, wheat, and red meat intake. WC could mediate between rice, wheat, red meat, and HbA1c. Dark vegetables directly or indirectly regulate HbA1c levels by interacting with rice, wheat, and red meat.

Background China is witnessing an accelerated aging process and an increasingly serious situation of Parkinson's disease. Research on the pre-disease stage and its related influencing factors has gained more and more attention. Objective To analyze the current situation of prodromal Parkinson's disease (pPD) of people aged 55 years and above in four provinces of China, and to explore its influencing demographic and socio-economic characteristics. Methods Using the data of Community-based Cohort Study on Nervous System Disease in 2020, a total of 10724 participants with complete data on demographic and socio-economic factors and risk factors on Parkinson's disease were selected. Based on the criteria recommended by the International Parkinson and Movement Disorder Society (MDS), we evaluated risk level (i.e., post-test probability) of pPd, prevalence of possible or probable pPD, and number of pPD-related risk/prodromal markers in the participants. Multiple linear regression and multiple logistic regression models were used to analyze the influencing socio-demographic factors of risk level of pPd and prevalence of possible or probable pPD, and Poisson regression and multinomial logit regression models were used to analyze the influencing socio-demographic factors of the number of pPD-related risk/prodromal markers in the total sample, men, and women, respectively. Results The median (P₂₅, P₇₅) of post-test probability of pPD in 2020 was 0.78% (0.42%, 1.66%), the prevalence rate of possible or probable pPD was 0.34%, and 69.03% of the participants reported 3-5 pPD-related risk/prodromal markers. The post-test probabilities of men, those with older age, lower education level, per capita monthly household income < 1000 yuan, urban residency, or without active employment were higher (P<0.05). Men and being aged ≥ 75 years had a higher prevalence of possible or probable pPD (P<0.05). The OR of possible or probable pPD was 8.404 (95%CI: 2.839−24.879) in subjects aged ≥ 75 years versus those aged 55−64 years. Males, those without active employment, being less educated, with older age, and urban residents were more likely to report pPD-related risk/prodromal markers than those of the opposite groups (P<0.05). Conclusion Men, subjects aged ≥75 years, those with lower education level, urban residents, and those without active employment have higher risk levels of pPD and are more likely to report pPD-related risk/prodromal markers among people aged 55 years and above in the four provinces of China, poor economic situation is also associated with higher risk levels of pPD.

Background Gastrointestinal microbiota plays an important role in the development of Parkinson's disease (PD), and dietary factors have a great impact on intestinal micro ecology. At present, few studies focus on red meat and PD, especially prodromal PD (pPD). Objective To understand the relationships of the intake of red meat and processed meat products with pPD and the number of risk/prodromal markers, and to explore the association of dietary factors with pPD. Methods Based on the data of Community-based Cohort Study on Nervous System Disease in 2018 and 2020, adults aged 55 years and older with complete demographic information, dietary survey information, and information on risk factors related to PD were selected from four provinces of China. After excluding those reporting abnormal total energy intake or those reporting alcohol drinking or abused drugs for a long period of time, and confirmed mental diseases with prescribed drugs, a total of 10003 subjects were included. Food frequency questionnaire was used to calculate the intake of red meat and processed meat products. The pPD-related risk/prodromal markers were selected following the International Parkinson and Movement Disorder Society criteria for pPD, and the risk level and the number of markers of pPD were then calculated. The relationship between the intake of red meat and processed meat and the risk level of pPD was analyzed by multiple linear regression. The relationship between the intake of red meat and processed meat and the pPD marker number groups was analyzed by multinomial logit regression model. Results In 2018, the intake of red meat and processed meat was 28.57 g·d⁻¹ in the target population. In 2020, the median of the number of risk/prodromal markers was 3, and the median M (P₂₅, P₇₅) of the posterior probability of pPD was 0.74% (0.42%, 1.49%). The multiple linear regression analysis showed that the higher the intake of red meat and processed meat, the higher the risk level of pPD in follow-up (b=0.021, P<0.05). The multiple logit regression model showed that compared with the lowest quartile (Q1), the highest quartile (Q4) group of red meat and processed meat intake were more likely reporting 3−5 risk/prodromal markers than ≤ 2 risk/prodromal markers (OR=1.185, 95%CI: 1.015−1.382). Conclusion The intake level of red meat and processed meat is related to the risk level of pPD, and a higher intake of red meat and processed meat may be a potential risk factor of pPD.

Background It has been reported that a high intake of dairy products might be associated with an increased risk of Parkinson's disease (PD) in foreign studies, but no such study has yet been conducted on prodromal Parkinson's disease (pPD) and the Chinese population. Objective To investigate the prospective relationship between the intake of dairy products and pPD among people aged 55 and above in four provinces of China. Methods The research data were obtained from the baseline 2018 and follow-up 2020 surveys of Community-based Cohort Study on Nervous System Disease. A total of 9984 residents were selected who participated in both waves of surveys and had complete data on demographics, dietary products intake, and risk factors for PD. We evaluated the risk level and the numbers of related risk/prodromal markers of pPD in the participants based on a criteria recommended by the International Parkinson and Movement Disorder Society (MDS). Food Frequency Questionnaire was used to obtain food consumption data in the past 12 months, and the intake of dairy products was calculated and divided into non-consumption and tertiles of consumption (T1, T2, and T3 from low to high). Multiple linear regression was used to analyze the association between baseline dairy intake and risk level of follow-up pPD. Poisson regression and multinomial logit regression models were used to analyze the relationship of baseline dairy products and the number of risk/prodromal markers of follow-up pPD in the population, and multiple logistic regression was used to analyze each risk/prodromal marker of follow-up pPD according to baseline levels of dairy products intake. Results The percentage of residents without dairy products consumption was 58.02% in 2018, and the dairy products intakes were relatively high among residents being female, aged 55 to 74 years, with an education level of middle school and above, with a per capita monthly household income ≥ 1000 yuan, living in urban areas, and without active employment (P<0.05). The median risk level of pPD was 0.74% in 2020, and the proportion of residents with 3 to 5 markers was 66.74%. The multiple linear regression analysis results suggested no association between baseline dairy intake and follow-up risk level of pPD. The Poisson regression model showed that the high dairy products intake group at baseline (T3, median=250.00 g·d⁻¹) was found to be 1.159 (95%CI: 1.065~1.261, P_trend<0.001) times more likely to have the risk/prodromal markers of pPD at follow-up than non-consumers. When the number of markers was grouped, no statistically significant association was found by multiple logistic regression analysis. Conclusion Although high dairy products intake levels might be associated with pPD risk/prodromal markers among people aged 55 and above in four provinces of China, no direct association is found between dairy products intake and pPD risk levels in this study.

Background In recent years, Chinese residents have undergone profound changes in dietary habits and lifestyle, and the increasing prevalence rate of central obesity has become one of the major public health problems. Objective To analyze the changes in waist circumference distribution and central obesity prevalence, and the differences by demographic and socioeconomic factors among Chinese adults aged 18-35 in 15 provinces (autonomous regions and municipalities) from 1993 to 2018, and to provide evidence for further exploration of etiology and control measures. Methods Based on the data of nine follow-up rounds of the China Health and Nutrition Survey from 1993 to 2018, adults aged 18 to 35 were selected as study subjects. After excluding the records of missing demographic information or abnormal physical measurement data, a total of 16008 subjects were included in this study. Central obesity was diagnosed by WS/T 428—2013 Criteria of weight for adults. Spearman rank test was used to analyze the changes of waist circumference; Cochran-Armitage trend test was used to analyze the trends of central obesity prevalence rate; multiple logistic regression analysis was used to analyze the influencing factors of central obesity in the whole population; subgroup analysis on waist circumference and central obesity prevalence rate was also conducted among participants from the 2018 follow-up survey. survey. Results From 1993 to 2018, the waist circumference and prevalence rate of central obesity of adults aged 18-35 in 15 provinces (autonomous regions and municipalities) significantly increased by year (P<0.05). In males, the prevalence rate increased from 4.40% to 35.49% (P_trend<0.05), while in females, it increased from 6.33% to 18.31% (P_trend<0.05), and the average growth rates were 8.14% and 2.58% per annum, respectively. The results of multiple model analysis showed that subjects aged 25 to 35 years were more likely to have central obesity than the control group with age 18 to 24 years in both males (OR=1.285, 95%CI: 1.066-1.550) and females (OR=1.558, 95%CI: 1.234-1.967). There were significant associations of central obesity in males with residence, geographical location, and economic zones: urban males were 39.5% (OR=1.395, 95%CI: 1.169-1.165) more likely to suffer from central obesity than rural males; males living in southern China were 37.9% (OR=0.621, 95%CI: 0.519-0.744) less likely to suffer from central obesity than those living in northern China; compared with males living in central economic zone, males living in western economic zone were 27.1% (OR=0.729, 95%CI: 0.567-0.937) less likely and males living in eastern economic zone were 21.8% (OR=1.218, 95%CI: 1.017-1.459) more likely to suffer from central obesity. No significant correlation was found of residence and geographical location with central obesity in females, only in the western economic zone, females were 32.4% (OR=0.676, 95%CI: 0.515-0.886) less likely to suffer from central obesity than those in the central economic zone. With increase of income levels, females were less likely to be central obese, and females of middle income level (OR=0.749, 95%CI: 0.600-0.934) and high income level (OR=0.684, 95%CI: 0.542-0.864) were less likely to suffer from central obesity than those of low income level. In the total population, a higher body mass index (BMI) level was significantly associated with having central obesity; overweight and obese males were found to be 12.207 (95%CI: 10.228-14.568) and 150.418 (95%CI: 111.186-203.492) times more likely to have central obesity, respectively, and the odds ratios for females were 9.014 (95%CI: 7.446-10.912) and 88.215 (95%CI: 61.411-126.717), respectively. Conclusion From 1993 to 2018, waist circumference and the prevalence rate of central obesity in adults aged 18-35 in selected 15 provinces (autonomous regions and municipalities) of China have been increased year by year, the condition of central obesity is more severe in males. Gender, age, economic zones, and BMI are the major influencing factors. It is necessary to take effective early screening and intervention measures targeting central obesity in youth population to reduce health risks.

Background Overweight and obesity are on the rise all over the world and are related to a variety of chronic diseases. There is a lack of such research on the population aged 18-35. Objective To explore the trends of overweight and obesity in adults aged 18-35 from 1989 to 2018 and the epidemiological characteristics in 2018. Methods A total of 22425 adults aged 18-35 enrolled in the China Health and Nutrition Survey in 1989, 1991, 1993, 1997, 2000, 2004, 2006, 2009, 2011, 2015, and 2018 were selected as study subjects. Overweight and obesity were judged in accordance with WST 428-2013 Determination of adult weight. The trend analysis of body mass index (BMI) level adopted a general linear model, and the trend analysis of overweight and obesity rate adopted a chi-square test for trend. A joinpoint regression model was used to calculate the average annual percentage change (AAPC) and annual percentage change (APC). A log-binomial regression model was used to analyze the relationship between socioeconomic factors and overweight/obesity, and a model with sex stratification was also constructed. Results In the period of 1989–2018, the BMI, overweight rate, and obesity rate of adults aged 18-35 all showed an upward trend. The BMI increased from (21.3±2.3) kg·m⁻² to (23.3±4.0) kg·m⁻², and the rate of overweight and obesity increased from 12.1% to 36.8%. The results of joinpoint regression model showed that 2000 was a joinpoint, and the APCs of overweight rates of 1989–2000 and 2000–2018 were 4.1% and 2.4% respectively (P < 0.05), and the APCs of obesity rates were 15.2% and 7.5% respectively (P < 0.05). From 1989 to 2018, the overweight rate increased at an average annual rate of 3.1% (AAPC=3.1%, 95%CI: 2.4%-3.7%, P<0.05), and the obesity rate increased at an average annual rate of 10.3% (AAPC=10.3%, 95%CI: 7.6%-13.2%, P<0.05). The overweight and obesity rates of men, the 25-35 age group, and northerners were 49.5%, 38.7%, and 45.4% respectively. About 52.6% of men aged 25-35 were overweight and obese. The results of log-binomial regression analysis showed that the risks of overweight and obesity were lower in women (with men as reference, RR=0.54, 95%CI: 0.44-0.65) and in southerners (with northerners as reference, RR=0.74, 95%CI: 0.61-0.91), but was higher in the 25-35 year old group (with the 18-24 year old group as reference, RR=1.41, 95%CI: 1.07-1.87). After stratification by sex, the results of log-binomial regression analysis showed that compared with men aged 18-34, men aged 25-35 had an increased risk of overweight and obesity (RR=1.50, 95%CI: 1.04-2.14), and compared with women in the north, women in the south had a lower risk of overweight and obesity (RR=0.63, 95%CI: 0.46-0.87). Conclusion The problem of overweight and obesity of Chinese adults aged 18-35 is serious. We should give priority to intervene and prevent the overweight and obesity of men, people aged 25-35, and northerners, especially men aged 25-35.