Objective To analyze the prevalence,co-prevalence of cardiovascular metabolic (CM) risk factors in women aged 15-49 years in China,and describe the influence of social economic factors on them.Methods The project data of Nutritional Status and Health Transition of Chinese Residents in 2015 were used.The changes in epidemiological characteristics of central obesity,elevated blood pressure,FPG and TG,decreased HDL-C and co-prevalence of the risk factors in women aged 15-49 years were analyzed.According to the definition of the metabolic syndrome released by the International Diabetes Federation in 2005,five cardio-metabolic risk factors appeared as central obesity,increased triglycerides,decreased HDL-C,increased blood pressure and increased plasma glucose.Co-prevalence of risk factors was defined as detecting 2 or more risk factors in a person at the same time.Multivariate logistic regression model was used to analyze the relationship between socioeconomic factors and metabolic risk factors.Results In 2015,in women aged 15-49 years in 15 provinces,the detection number (rates) of central obesity,elevated blood pressure,FPG and TG,decreased HDL-C,at least one CM risk factor and co-detection rate of CM risk factors were 944 (47.4％),464 (23.3％),123 (6.2％),327 (16.4％),1 025 (51.5％),1 501 (75.4％),and 874 (43.9％),respectively.Compared with women aged 15-19 years,the women in age group of 25-,30-,35-,40-,and 45-49 years were more likely to have central obesity (P＜0.05),the women in age group of 30-35-,40-,and 45-49 years were more likely to have elevated blood pressure (P＜0.05),the women aged 45-49 years were more likely to be affected by one or more CM risk factors (P＜0.05),but the women in age group 25-29 years group had lower risk for elevated FPG (P＜0.05).The odds of having central obesity,elevated blood pressure,FPG and TG,decreased HDL-C,at least one CM risk factor and co-prevalence of CM risk factors in women with BMI≥24.0 kg/m2 were 14.16,3.05,2.46,2.49,2.42,9.79 and 7.39 times higher than those in the women with BMI of 18.5-24.0 kg/m2,respectively.The odds of having elevated FPG and TG in women aged 15-49 years in western China and the odds of having elevated blood pressure and FPG in women aged 15-49 years in eastern China were significantly higher than those in central China.No significant correlations were found between the prevalence and co-prevalence of CM risk factors and income level or urban and rural area residences in women aged 15-49 years.Conclusions Age,BMI level and living area were the major influencing CM risk factors.The precise prevention and control measures should be taken in time for the adverse changes in CM risk factor prevalence.

Objective: To understand the malnutrition status and trends among children and adolescents, and to provide evidence for improving the nutritional status of children and adolescents in 9 provinces of China. Methods: A total of 5 746 children and adolescents aged 7-17 years old from the "China Health and Nutrition Survey" in 2000, 2006, 2011, 2015 and 2018 were selected as the subjects. Variance analysis and Chi square test were used to analyze the BMI of children and adolescents with different characteristics and different types of malnutrition. Linear regression model was used to analyze the trends of BMI, stunting and wasting, and overweight and obesity in children and adolescents with different characteristics. Results: From 2000 to 2018, the BMI of children and adolescents aged 7-17 increased from 17.66 kg/m 2 to 19.08 kg/m 2 ( F =22.88, P <0.05). The prevalence of overweight and obesity increased in both males and females( t =16.65,11.01, P <0.05). Comparison of the rates of wasting and Growth Retardation and overweight and obesity among children and adolescents aged 7-17 years in nine provinces in 2000, 2006,2 011, 2015 and 2018, the difference was statistically significant ( χ 2 wasting and grouth retardation =85.46, 29.55, 41.09, 29.86, 45.29; χ 2 overweight and obesity = 109.12 , 52.21, 98.23, 68.27, 52.49, P <0.05). Conclusion The prevalence of stunting and wasting of children and adolescents aged 7-17 in 9 provinces of China decreased. The prevalence of overweight and obesity showed an upward trend in 9 provinces of China. There were regional differences among the prevalence of stunting and wasting, as well as overweight and obesity. Active intervention strategies and measures should be taken to improve malnutrition and focus on the prevention of obesity in children and adolescents in China.

Objective:To analyze the changes on the rates of prevalence, awareness and treatment of hypertension as well as the differences of the disease by demographic and economic factors, among adult farmers in nine provinces of China.Methods:Adult farmers, (including fishermen and hunters) with completed data on demographics, socio-economic characteristics, disease histories and physical measurements were selected from the 1991-2015 China Health and Nutrition Survey. Hypertension was defined based on the Chinese guidelines. Multivariate logistic regression was used to analyze the influence of demographic and economic factors on the rates of prevalence, awareness and treatment of hypertension among those adult farmers in 2015.Results:A total of 18 236 participants were included. From 1991 to 2015, rates of prevalence, awareness and treatment of hypertension among the adult farmers in nine provinces all significantly increased ( P<0.05). Results from the multivariate analysis showed that farmers aged ≥45 years were 98 % more likely to suffer from hypertension than those aged 18-44 years. Farmers who were overweight or obese were 1.58 times and 5.21 times more likely to suffer from hypertension than those in the control group (BMI<24.0 kg/m 2), respectively. The rates on awareness of hypertension among farmers with junior high school education ( OR=0.23) or above ( OR=0.12) or with junior high school education ( OR=0.30) were both lower than those with primary school education or below. Rates on the awareness and treatment of hypertension in obese farmers were 5.77 times and 7.52 times of those in the control group. Conclusions:The rates of prevalence of hypertension showed increasing trends during 1991-2015, with a slower increase in the rates of awareness and treatment in the farmers. Age ≥45 year-olds, and being obese were the risk factors for farmers to have hypertension, which suggested the above population should be focused on hypertension prevention strategy and practice.

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.

Objective:To investigate the influence of environmental factors on body mass index of children and adolescents in China.Methods:Using data from the China Health and Nutrition Survey, the research object to 7 - 17 years old children and adolescents who participated in 2000, 2006, 2011, and 2015 round of survey with complete data, a total of 6 626 children and adolescents (male 3 473, female 3 153) were investigated under univariate analysis for each environmental factor variable before using Partial Least Square Regression fitting a linear model for further screening. Finally, we fitted a three-level linear mixed-effects model distinct by urban and rural area for analysis.Results:The three-level null model, log likelihood=-17 034.68, χ 2=483.06, P<0.001. Intern-class correlation coefficient ( ICC) showed that community-level was 9.97%, and both community and individual were 39.38%. The three-level model also showed that urban model's urbanization index ( β=-0.05, 95% CI: -0.09--0.01, P<0.05), the park location ( β=-0.88, 95% CI: -1.72 - -0.04, P<0.05), 15 - 17 age group ( β=-1.04, 95% CI:-1.78 - -0.30, P<0.05) were negatively correlated with BMI. The distance to the gym ( β=0.12, 95% CI: 0.02 - 0.22, P<0.05), the number of home TV sets ( β=0.50, 95% CI: 0.08 - 0.92, P<0.05) and the frequency of parents' alarm of fiction TV program contents ( β=1.85, 95% CI: 0.70 - 3.00, P<0.05) were correlated with BMI. Rural urbanization index ( β=-0.04, 95% CI:-0.07 - -0.01, P<0.05). Rural per capita income ( β=-7.29e -4, 95% CI:-1.00e -3 - -6.77e -5, P<0.05), parents' restricted frequency of watching TV ( β=-1.29, 95% CI:-2.36 - -0.21, P<0.05), adipo-energy ratio ( β=-0.03, 95% CI:-0.06 - -1.00e -3, P<0.05) were negatively correlated with the BMI. Factors as the frequency of parents' alarm of fiction TV program contents ( β=3.01, 95% CI: 0.03 - 6.00, P<0.05), the survey time was 2015 ( β=4.83, 95% CI: 1.96 - 7.69, P<0.05) were correlated with BMI. Conclusions:Environmental factors could indirectly influence the change of BMI of children and adolescents to different degrees and various aspects. Urbanization index and rural per capita income had a slight protective effect on increasing BMI of children and adolescents. At the community level, attention should be paid to the setting of activity places around the living environment of children and adolescents. Family members should also guide their children and adolescents to develop nice behavior in watching TV.

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.

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 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.