BACKGROUND: It is crucial to understand the seasonal variation of Metabolic Syndrome (MetS) for the detection and management of MetS. Previous studies have demonstrated the seasonal variations in MetS prevalence and its markers, but their methods are not robust. To clarify the concrete seasonal variations in the MetS prevalence and its markers, we utilized a powerful method called Seasonal Trend Decomposition Procedure based on LOESS (STL) and a big dataset of health checkups. METHODS: A total of 1,819,214 records of health checkups (759,839 records for men and 1,059,375 records for women) between April 2012 and December 2017 were included in this study. We examined the seasonal variations in the MetS prevalence and its markers using 5 years and 9 months health checkup data and STL analysis. MetS markers consisted of waist circumference (WC), systolic blood pressure (SBP), diastolic blood pressure (DBP), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), fasting plasma glucose (FPG). RESULTS: We found that the MetS prevalence was high in winter and somewhat high in August. Among men, MetS prevalence was 2.64 ± 0.42 (mean ± SD) % higher in the highest month (January) than in the lowest month (June). Among women, MetS prevalence was 0.53 ± 0.24% higher in the highest month (January) than in the lowest month (June). Additionally, SBP, DBP, and HDL-C exhibited simple variations, being higher in winter and lower in summer, while WC, TG, and FPG displayed more complex variations. CONCLUSIONS This finding, complex seasonal variations of MetS prevalence, WC, TG, and FPG, could not be derived from previous studies using just the mean values in spring, summer, autumn and winter or the cosinor analysis. More attention should be paid to factors affecting seasonal variations of central obesity, dyslipidemia and insulin resistance.
Male ; Female ; Humans ; Metabolic Syndrome/epidemiology* ; Seasons ; Prevalence ; Climate ; Insulin Resistance ; Triglycerides

To explore the relationship between the early or delayed age at natural menopause and metabolic syndrome (MS) in women. A total of 4 734 natural menopausal women who completed the baseline survey from November 2017 to January 2020 in the Guangzhou Middle-aged and Elderly Chronic Disease Prospective Cohort Study were selected in this cross-sectional study. Data on general demographic characteristics, disease history and female physiological health indicators were collected. Logistic regression model and restricted cubic spline curve were used to analyze the relationship between the age at natural menopause and MS. The results showed that the mean age of the subjects was (60±6) years old. The median (Q₁,Q₃) age at natural menopause was 50 (49, 52) years old, and the prevalence of MS was 14.8%(699/4 734). After adjusting for confounders, the age at natural menopause was closely related to MS in an approximate"U"shape. Compared with the group of normal age at natural menopause, the early age at menopause (OR=1.52, 95%CI: 1.12-2.06) and delayed age at menopause (OR=1.77, 95%CI: 1.36-2.30) had a higher risk of MS. In the group with time since menopause ≤6 years and 7-9 years, the risk of MS in the group with delayed age at menopause was 2.40 times (95%CI: 1.54-3.75) and 2.19 times (95%CI: 1.11-4.31) higher than that in the group with normal menopausal age, respectively. In conclusion, the early and delayed age at natural menopause increased the risk of MS. The increased risk of MS in delayed age at natural menopause mainly occurred within 10 years since menopause.
Middle Aged ; Aged ; Female ; Humans ; Child ; Postmenopause ; Metabolic Syndrome/epidemiology* ; Prospective Studies ; Cross-Sectional Studies ; Menopause/physiology* ; Risk Factors

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

Objective: To understand the depression status and its influencing factors in elderly patients with MS in China and to explore the correlation between various components of elderly MS and depression. Methods: This study is based on the "Prevention and Intervention of Key Diseases in Elderly" project. We used a multi-stage stratified cluster random sampling method to complete 16 199 elderly aged 60 years and above in 16 counties (districts) in Liaoning, Henan, and Guangdong Provinces in 2019, excluding 1 001 missing variables. Finally, 15 198 valid samples were included for analysis. The respondents' MS disease was obtained through questionnaires and physical examinations, and the respondents' depression status within the past half month was assessed using the PHQ-9 Depression Screening Scale. The correlation between elderly MS and its components and depression and its influencing factors were analyzed by logistic regression. Results: A total of 15 198 elderly aged 60 years and above were included in this study, with the prevalence of MS at 10.84% and the detection rate of depressive symptoms in MS patients at 25.49%. The detection rates of depressive symptoms in patients with 0, 1, 2, 3, and 4 MS abnormal group scores were 14.56%, 15.17%, 18.01%, 25.21%, and 26.65%, respectively. The number of abnormal components of MS was positively correlated with the detection rate of depressive symptoms, and the difference between groups was statistically significant (P<0.05). The risk of depression symptoms in patients with MS, overweight/obesity, hypertension, diabetes, and dyslipidemia was 1.73 times (OR=1.73, 95%CI:1.51-1.97), 1.13 times (OR=1.13, 95%CI:1.03-1.24), 1.25 times (OR=1.25, 95%CI:1.14-1.38), 1.41 times (OR=1.41, 95%CI:1.24-1.60), 1.81 times (OR=1.81,95%CI:1.61-2.04), respectively, more than those without the disease. Multivariate logistic regression analysis showed that the detection rate of depressive symptoms in patients with sleep disorders was higher than that with normal sleep (OR=4.89, 95%CI: 3.79-6.32). The detection rate of depressive symptoms in patients with cognitive dysfunction was 2.12 times higher than that in the average population (OR=2.12, 95%CI: 1.56-2.89). The detection rate of depressive symptoms in patients with impaired instrumental activities of daily living (IADL) was 2.31 times (OR=2.31, 95%CI: 1.64-3.26) higher than that in the average population. Tea drinking (OR=0.73, 95%CI: 0.54-0.98) and physical exercise (OR=0.67, 95%CI: 0.49-0.90) seemed to be protective factors for depression in elderly MS patients (P<0.05). Conclusions: Older patients with MS and its component abnormalities have a higher risk of depression than the average population. Sleep disorders, cognitive impairment, and IADL impairment are important influencing factors for depression in elderly MS patients, while tea drinking and physical exercise may help to reduce the risk of the disease.
Aged ; Humans ; Metabolic Syndrome/epidemiology* ; Activities of Daily Living/psychology* ; Depression/epidemiology* ; China/epidemiology* ; Tea ; Risk Factors

Objective: To explore the relationship between sleep/physical activity and metabolic syndrome (MS) in urban population of Xinjiang. Methods: This is a prospective, cross-sectional study. From July 2019 to September 2021, a two-stage random sampling method was used to randomly select residents aged 30-74 years from two communities in Urumqi of northern Xinjiang and Korla of southern Xinjiang. General situation questionnaire, Pittsburgh Sleep Quality Index Scale (PSQI) survey, International Physical Activity Questionnaire (IPAQ) survey, physical examination, physiological and biochemical indicators were obtained and analyzed. The dose-response curves of healthy sleep score and physical activity with metabolic syndrome were plotted using restricted cubic spline curves. Multivariate logistic regression model was used to analyze the independent and combined effects of sleep quality and physical activity on MS risk. Results: A total of 10 209 participants were included. The mean age of the subjects was (47.1±9.1) years, and males accounted for 51.3% (5 275/10 209). The prevalence of MS was significantly associated with the healthy sleep score and physical activity. Compared to the subjects with healthy sleep, OR (95%CI) of MS with intermediate, and poor sleep were 1.20(1.06-1.35), 1.23(1.04-1.45), respectively. Compared to the subjects with high physical activity, OR (95%CI) of MS with medium, low physical activity was 1.34(1.15-1.56), 1.42(1.19-1.70), respectively. There was a significant interaction between sleep and physical activity in MS (P for interaction=0.002). Compared to the subjects with high physical activity and healthy sleep, OR (95%CI) of MS with poor sleep and high physical activity was 2.03 (1.24-3.33, P for trend=0.016). Conclusion: Poor sleep quality and lack of physical activity are not only independent risk factors for an increased risk of MS but also have a combined effect with an increased risk of MS.
Male ; Humans ; Adult ; Middle Aged ; Sleep Quality ; Metabolic Syndrome/epidemiology* ; Urban Population ; Cross-Sectional Studies ; Prospective Studies ; Exercise

Objective: To explore the relationship between sleep/physical activity and metabolic syndrome (MS) in urban population of Xinjiang. Methods: This is a prospective, cross-sectional study. From July 2019 to September 2021, a two-stage random sampling method was used to randomly select residents aged 30-74 years from two communities in Urumqi of northern Xinjiang and Korla of southern Xinjiang. General situation questionnaire, Pittsburgh Sleep Quality Index Scale (PSQI) survey, International Physical Activity Questionnaire (IPAQ) survey, physical examination, physiological and biochemical indicators were obtained and analyzed. The dose-response curves of healthy sleep score and physical activity with metabolic syndrome were plotted using restricted cubic spline curves. Multivariate logistic regression model was used to analyze the independent and combined effects of sleep quality and physical activity on MS risk. Results: A total of 10 209 participants were included. The mean age of the subjects was (47.1±9.1) years, and males accounted for 51.3% (5 275/10 209). The prevalence of MS was significantly associated with the healthy sleep score and physical activity. Compared to the subjects with healthy sleep, OR (95%CI) of MS with intermediate, and poor sleep were 1.20(1.06-1.35), 1.23(1.04-1.45), respectively. Compared to the subjects with high physical activity, OR (95%CI) of MS with medium, low physical activity was 1.34(1.15-1.56), 1.42(1.19-1.70), respectively. There was a significant interaction between sleep and physical activity in MS (P for interaction=0.002). Compared to the subjects with high physical activity and healthy sleep, OR (95%CI) of MS with poor sleep and high physical activity was 2.03 (1.24-3.33, P for trend=0.016). Conclusion: Poor sleep quality and lack of physical activity are not only independent risk factors for an increased risk of MS but also have a combined effect with an increased risk of MS.
Male ; Humans ; Adult ; Middle Aged ; Sleep Quality ; Metabolic Syndrome/epidemiology* ; Urban Population ; Cross-Sectional Studies ; Prospective Studies ; Exercise

The rising prevalence of nonalcoholic fatty liver disease (NAFLD) is now the second largest indication for liver transplantation in Western countries, but viral hepatitis B and end-stage alcohol-related liver disease are still the main indications in China. With the improvement of people's living standards, the prevalence of metabolic syndrome, and the number of NAFLD patients has also gradually increased. At the same time, with the hepatitis B vaccination popularization and the nucleos(t)ide analogues and other drugs uses, it is predicted that NAFLD-related end-stage liver disease may become one of the main indications for liver transplantation in our country in the future. This article reviews the research progress of NAFLD and liver transplantation.
End Stage Liver Disease ; Humans ; Liver Transplantation/adverse effects* ; Metabolic Syndrome ; Non-alcoholic Fatty Liver Disease/epidemiology* ; Prevalence

Objective: To examine the associations between metabolic syndrome (MS) and the risks for impaired activities of daily living (ADL) in the middle-aged and elderly population in China and provide basis for improving healthy life expectancy. Methods: Prospective cohort study design was used in this study. Based the data of China Health and Retirement Longitudinal Study (CHARLS) from 2011 to 2018 and the baseline data in 2011, the follow up for ADL outcomes was conducted in 2013, 2015 and 2018 respectively, and the participants recruited in 2013 and 2015 were new baseline populations. The participants with impaired ADL in three baseline populations were excluded. Cox proportional hazard model was used to estimate the effect of different components and number of MS components on the risk for ADL impairment in the middle-aged and elderly population in China. Results: In 59 795 person-years of follow-up, a total of 1 011 cases of ADL impairments were recorded. The incidence density of ADL impairment was 16.91 per 1 000 person-year; The findings of Cox regression analysis showed that compared with the middle aged and elderly people without MS, the risk for ADL impairments was 1.29 times higher (95%CI: 1.12-1.50) for those with one component of MS, 1.32 times higher (95%CI:1.07-1.64) for those with hyperlipemia complicated with diabetes, 1.78 times higher (95%CI: 1.22-2.59) for those with obesity and one component of MS, 2.48 times higher (95%CI:1.59-3.85) for those with hypertension complicated with hyperlipemia, 3.51 times higher (95%CI:1.66-7.43) for those with hypertension complicated with diabetes, 1.80 times higher (95%CI: 1.40-2.32) for those with ≥3 MS, respectively. Compared with the middle-aged and elderly population without MS, the risk for impaired ADL increased by 30% (HR=1.30, 95%CI: 1.13-1.51), 54% (HR=1.54, 95%CI: 1.28-1.85) and 87% (HR=1.87, 95%CI:1.45-2.41), respectively, in the middle-aged and elderly with one, two, and more than three components of MS, with a significant dose-response relationship that ADL impaired risks increased as the number of MS components increased (P<0.001). Conclusions: Our findings suggested that MS is a risk factor for ADL impairment in middle-aged and elderly population in China. Prevention and early intervention of obesity, hypertension, hyperlipemia, diabetes and metabolic syndrome could help to reduce or delay the incidence of ADL impairment.
Activities of Daily Living ; Aged ; China/epidemiology* ; Humans ; Longitudinal Studies ; Metabolic Syndrome/epidemiology* ; Middle Aged ; Prospective Studies

Objective: To estimate the incidence of metabolic syndrome and explore possible risk factors for metabolic syndrome in adults of rural communities in Yuhuan county, Zhejiang province, China. Methods: During June-December, 2018, a follow-up survey was conducted in participants without metabolic syndrome at baseline survey in 2012 to obtain the information collected in questionnaire survey, anthropometric data and laboratory data. The incidence of metabolic syndrome in the participants was estimated, and Logistic regression model was used to explore the risk factors, adjusted risk ratio (aRR) and 95%CI. Results: Among 3 162 participants, 522 new metabolic syndrome cases were identified. The 6-year cumulative incidence rate of metabolic syndrome was 16.5%, and the cumulative incidence rate was higher in women (20.6%) than that in men (12.3%, P<0.001). Those incidence rates were higher in those in jobless, smoking or drinking groups. Being women (aRR=1.96, 95%CI: 1.50-2.58) and family history of hypertension (aRR=1.31, 95%CI: 1.04-1.63) were independent risk factors for metabolic syndrome. Conclusion: The follow up indicated that the incidence of metabolic syndrome was relatively high in rural adults on islands in Zhejiang, and women or those with family history of hypertension were more likely to have metabolic syndrome.
Adult ; Female ; Humans ; Incidence ; Islands ; Male ; Metabolic Syndrome/epidemiology* ; Risk Factors ; Rural Population

Objective: To study the prevalence and associated factors of metabolic syndrome (MS) among Tibetan pastoralists in transition from high altitude nomadic to settled urbanized environment, especially dietary factors. Methods: The community-based cross-sectional study included 920 Tibetan adults (men 419, women 501). Data were collected using questionnaires, anthropometric measurements, and biomarker tests. Questionnaires included socio-economic, lifestyle characteristics and food consumption. Principal component analysis was used to identify dietary patterns. The risk factors of MS and its components were analyzed by logistic regression model. Results: The prevalence rates of MS and its components were 32.8% (MS), 83.7% (decreased HDL-C), 62.1% (central obesity), 36.7% (elevated blood pressure), 11.8% (elevated TG), and 7.9% (elevated blood glucose), respectively. The prevalence of overweight was 31.2%, obesity 30.3%. Multivariate analysis showed smoking was associated factor for both of decreased HDL-C (OR=1.239, 95%CI: 1.025-1.496) and elevated TG (OR=1.277, 95%CI: 1.038-1.571). Alcohol drinking appeared as associated factor of elevated TG (OR=1.426, 95%CI: 1.055-1.927). However, physical activity showed as a protective factor for central obesity, decreased HDL-C, and elevated TG. With the increase of age, the adherence to the urban and western dietary patterns decreased, and that to the pastoral dietary pattern increased. By quintiles of dietary pattern scores, the urban dietary pattern was significantly associated with MS (trend test P=0.016). Conclusions: Tibetan pastoralists had high prevalence of both MS and obesity. Smoking, alcohol drinking, the transition from pastoral dietary pattern to urban dietary pattern and inadequate physical activity served as associated factors for MS and its components.
Adult ; Cross-Sectional Studies ; Female ; Humans ; Male ; Metabolic Syndrome/epidemiology* ; Obesity/epidemiology* ; Obesity, Abdominal ; Prevalence ; Risk Factors ; Tibet/epidemiology*