Establishing a three-generation family cohort enables the investigation of the effects of genetic, epigenetic, lifestyle, and parenting factors in the grandparental (F0) and parental (F1) generations on the growth, development, and disease onset and progression of the offspring (F2). It facilitates further exploration of the biological mechanisms underlying the impact of intergenerational factors on the health of the offspring (F2), providing evidence for the formulation of public health policies and measures related to child health management and infant and young child care. Currently, the development of multi-generational cohorts in China remains in a preliminary stage, with no systematic multi-generational research framework yet established. Drawing on prior evidence-based scientific research, existing cohort studies, and the practical experience of multidisciplinary experts in maternal and child health, this consensus defines the scope of three-generation family cohorts regarding their definition, significance, key technologies, and application scenarios. It provides technical recommendations for establishing relevant cohorts, aiming to support research areas such as the intergenerational transmission of childhood diseases, the maternal intrauterine environment, and the tracing of family rearing environments. This will facilitate the early prevention and control of diseases manifesting in childhood and adulthood, ultimately promoting the comprehensive and healthy development of children.

Objective: To analyze the epidemiological characteristics and influencing factors of severe fever with thrombocytopenia syndrome (SFTS) in Zhejiang Province from 2019 to 2023, so as to provide the reference for strengthening SFTS prevention and control. Methods: Data on laboratory-confirmed SFTS cases in Zhejiang Province from 2019 to 2023 were collected through the Infectious Disease Reporting Information System of Chinese Disease Prevention and Control Information System. Meteorological data, geographic environment and socioeconomic factors during the same period were collected from the fifth-generation European Centre for Medium-Range Weather Forecasts, Geospatial Data Cloud, and Zhejiang Statistical Yearbook, respectively. Descriptive epidemiological methods were used to analyze the epidemiological characteristics of SFTS from 2019 to 2023, and a Bayesian spatio-temporal model was constructed to analyze the influencing factors of SFTS incidence. Results: A total of 578 SFTS cases were reported in Zhejiang Province from 2019 to 2023, with an annual average incidence of 0.23/105. The peak period was from May to July, accounting for 52.60%. There were 309 males and 269 females, with a male-to-female ratio of 1.15∶1. The cases were mainly aged 50-<80 years, farmers, and in rural areas, accounting for 82.53%, 77.34%, and 75.43%, respectively. Taizhou City and Shaoxing City reported more SFTS cases, while Shaoxing City and Zhoushan City had higher annual average incidences of SFTS. The Bayesian spatio-temporal interaction model showed good goodness of fit. The results showed that mean temperature (RR=1.626, 95%CI: 1.111-2.378) and mean wind speed (RR=1.814, 95%CI: 1.321-2.492) were positively correlated with SFTS risk, while altitude (RR=0.432, 95%CI: 0.230-0.829) and population density (RR=0.443, 95%CI: 0.207-0.964) were negatively correlated with SFTS risk. Conclusions SFTS in Zhejiang Province peaks from May to July. Middle-aged and elderly people and farmers are high-risk populations. Taizhou City, Shaoxing City, and Zhoushan City are high-incidence areas. Mean temperature, mean wind speed, altitude, and population density can all affect the risk of SFTS incidence.

Objective: To evaluate the effect of community comprehensive management model intervention among patients with dyslipidemia, so as to provide the reference for optimizing community management strategies and improving the target achievement rate for blood lipids among this population. Methods: From May to June 2023, a multi-stage stratified random sampling method was employed to select patients with dyslipidemia from primary healthcare institutions in Jiaxing City, Zhejiang Province. Eligible participants were randomly assigned to either a control group or an intervention group. The control group received routine management, while the intervention group was subjected to a community comprehensive management model in addition to the routine care. Both groups were followed up for 24 months. Data on demographic characteristics, lifestyle behaviors, physical examination indices, and blood biochemical indicators were collected at baseline and after the intervention through questionnaires, physical examinations, and laboratory tests. Changes in obesity rate, central obesity rate, target achievement rates for blood lipids, blood pressure, and blood glucose, as well as lifestyle modifications, were analyzed. Differences between the two groups before and after the intervention were assessed using generalized estimating equations (GEE). Results: The control group consisted of 560 patients, including 303 females (54.11%) and 430 individuals aged ≥65 years (76.79%). The intervention group also included 560 patients, with 300 females (53.57%) and 431 individuals aged ≥65 years (76.96%). Before the intervention, no statistically significant differences were observed between the two groups in terms of gender, age, educational level, history of chronic diseases, and atherosclerotic cardiovascular disease risk stratification (all P>0.05). After 24 months of intervention, interaction effects between group and time were observed for obesity rate, central obesity rate, target achievement rate for blood lipids, target achievement rate for blood glucose, composite target achievement rate, physical activity rate, and medication adherence (all P<0.05). Specifically, the intervention group demonstrated lower rates of obesity and central obesity, and higher target achievement rate of blood lipids, target achievement rate of blood glucose, composite target achievement rate, physical activity rate, and medication adherence compared to the control group. Conclusion The community comprehensive management model contributed to improvements in multiple metabolic parameters (including body weight, waist circumference, blood lipids, and blood glucose) among patients with dyslipidemia, and was associated with increased physical activity rate and medication adherence.

Objective: To investigate the trends in incidence and mortality of thyroid cancer in Nantong City, Jiangsu Province from 2013 to 2022, so as to provide a basis for optimizing comprehensive regional prevention and control strategies. Methods: Data on incidence and mortality of thyroid cancer in Nantong City from 2013 to 2022 were collected via the Nantong Cancer Registration Reporting System. Crude incidence and mortality were calculated. The Chinese population-standardized incidence and Chinese population-standardized mortality were calculated using the standard age structure from the Fifth National Population Census in 2000. The average annual percent change (AAPC) was used to analyze the trends in incidence and mortality of thyroid cancer across different genders, age groups, and urban-rural areas from 2013 to 2022. Results: The crude incidence and Chinese population-standardized incidence in Nantong City rose from 5.79/100 000 and 4.36/100 000 in 2013 to 34.87/100 000 and 30.40/100 000 in 2022, respectively (AAPC=22.226%, 24.139%, both P<0.05). The crude mortality increased from 0.39/100 000 to 1.07/100 000 (AAPC=10.469%, P<0.05), while the trend for Chinese population-standardized mortality was not statistically significant (P>0.05). The Chinese population-standardized incidence and Chinese population-standardized mortality for females were 20.41/100 000 and 0.30/100 000, respectively, which were 3.28 times and 1.50 times those of males. The Chinese population-standardized incidence showed upward trends for both males and females (AAPC=22.840%, 24.592%, both P<0.05), while the trends for Chinese population-standardized mortality were not statistically significant (both P>0.05). From 2013 to 2022, the crude incidence in the age groups of 15-<45, 45-<65, and 65-<85 years, and the crude mortality in the age group of 65-<85 years showed upward trends (AAPC=27.808%, 21.756%, 13.365%, and 8.030%, all P<0.05), while trends in other age groups were not statistically significant (all P>0.05). The Chinese population-standardized incidence in urban areas was 16.96/105, which was 1.40 times that of rural areas. The Chinese population-standardized mortality in rural areas was 0.27/105, which was 1.29 times that of urban areas. From 2013 to 2022, the Chinese population-standardized incidence in both urban and rural areas and Chinese population-standardized mortality in rural areas showed upward trends (AAPC=17.264%, 27.758%, 6.387%, all P<0.05), while trend in Chinese population-standardized mortality in urban areas was not statistically significant (P>0.05). Conclusions From 2013 to 2022, the crude incidence, Chinese population-standardized incidence, and crude mortality of thyroid cancer in Nantong City all showed upward trends in the total population, males, and females, while the trend in Chinese population-standardized mortality was stable. There were differences in mortality trends between urban and rural areas: the trend in urban areas was stable, whereas the trend in rural areas was upward.

Objective: To analyze the trends in incidence and mortality of colorectal cancer in Jinhua City, Zhejiang Province from 2016 to 2024, and to predict the incidence and mortality from 2025 to 2027, so as to provide the evidence for improving regional colorectal cancer prevention and control strategies. Methods: Data on incidence and mortality of colorectal cancer in Jinhua City from 2016 to 2024 were collected through the Zhejiang Chronic Disease Surveillance Information Management System. The crude incidence and crude mortality were calculated, and standardized using the data from the Sixth National Population Census in 2010. Trends in incidence and mortality of colorectal cancer from 2016 to 2024 were analyzed using the average annual percent change (AAPC). A grey Markov model was constructed to predict the incidence and mortality of colorectal cancer from 2025 to 2027. Results: From 2016 to 2024, the crude incidence and standardized incidence of colorectal cancer in Jinhua City were 46.90/100 000 and 30.69/100 000, respectively, showing upward trends (AAPC=4.594% and 2.051%, both P<0.05). The crude mortality and standardized mortality were 17.47/100 000 and 10.36/100 000, respectively, and the trends were not statistically significant (both P>0.05). The standardized incidence and standardized mortality of colorectal cancer in males were higher than those in females (35.38/100 000 vs. 25.68/100 000, 11.96/100 000 vs. 8.57/100 000, both P<0.05). The crude incidence and crude mortality of colorectal cancer in the ≥80 years age group were the highest, at 220.04/100 000 and 186.86/100 000, respectively. From 2016 to 2024, the standardized incidence of colorectal cancer in males and females showed upward trends (AAPC=5.069% and 3.965%, both P<0.05), while the trends in standardized mortality were not statistically significant (all P>0.05). The crude incidence in the 70-<80 years age group showed an upward trend (AAPC=1.320%, P<0.05), and the crude mortality in the 40-<50 years age group showed a downward trend (AAPC=-3.756%, P<0.05). Trends in other age groups were not statistically significant (all P>0.05). The prediction results of the grey Markov model showed that the predicted values of crude incidence and crude mortality of colorectal cancer in the whole population would increase from 58.20/100 000 and 20.04/100 000 in 2025 to 61.70/100 000 and 21.26/100 000 in 2027. Conclusions From 2016 to 2024, the incidence of colorectal cancer in Jinhua City showed upward trends, while the mortality trend was stable. Males and the elderly aged ≥80 years are high-risk populations for colorectal cancer incidence and mortality. It is predicted that both crude incidence and crude mortality will increase from 2025 to 2027.

Objective: To investigate the current status of benefit finding among young and middle-aged patients with type 2 diabetes mellitus (T2DM) and analyze its influencing factors, so as to provide a reference for improving the level of benefit finding in this population. Methods: From November 2022 to May 2023, young and middle-aged patients with T2DM aged 18-59 years hospitalized in the endocrinology departments of 2 tertiary hospitals in Hengyang City, Hunan Province were selected as survey subjects by a convenience sampling method. Basic demographic information was collected using a general questionnaire survey. Benefit finding, resourcefulness, and stigma were evaluated using the Benefit Finding Scale, the Chinese Version of the Resourcefulness Scale, and the Type 2 Diabetes Stigma Assessment Scale, respectively. A multiple linear regression model was used to analyze the influencing factors of benefit finding among young and middle-aged patients with T2DM. Results: A total of 305 young and middle-aged patients with T2DM were investigated, including 222 males (72.79%) and 83 females (27.21%). There were 231 cases aged 45-59 years, accounting for 75.74%. The scores for benefit finding, resourcefulness, and stigma were (42.86±6.06), (75.12±11.30), and (41.20±10.10), respectively. Multiple linear regression analysis showed that young and middle-aged patients with T2DM who were male (β′=0.088), aged 18-<45 years (β′=0.083), absence of diabetes complications (β′=0.124), and had higher resourcefulness scores (β′=0.679) had higher levels of benefit finding, while patients with higher stigma scores (β′=-0.097) had lower levels of benefit finding. Conclusion The level of benefit finding among young and middle-aged patients with T2DM was moderate, and was related to gender, age, diabetes complications, resourcefulness, and stigma.

Objective: To explore the association between types of obesity and 10-year risk of atherosclerotic cardiovascular disease (ASCVD) among hypertensive patients, so as to provide the basis for formulating ASCVD prevention strategies for hypertensive patients. Methods: From January to December 2021, hypertensive patients who were under follow-up management and completed health examinations at three community health service centers in Linping District, Hangzhou City were selected by a cluster sampling method. Basic information, lifestyle, disease history, height, weight, waist circumference (WC), and blood biochemical indicators were collected through health examination data. Based on assessments of body mass index (BMI) and WC, participants were categorized into four types: non-obese, general obesity only, central obesity only, and combined obesity. The Prediction for ASCVD risk in China (China-PAR) was used to assess 10-year ASCVD risk, which was categorized as low, moderate, and high risk. Multivariable logistic regression models were used to analyze the association between different types of obesity and ASCVD risk among hypertensive patients. Results: A total of 10 408 hypertensive patients were included, with a median age of 68.00 (interquartile range, 10.00) years. There were 4 301 (41.32%) males and 6 107 (58.68%) females. The proportions of non-obese, general obesity only, central obesity only, and combined obesity were 34.93% (3 635 individuals), 22.85% (2 378 individuals), 4.32% (450 individuals), and 37.90% (3 945 individuals), respectively. There were 3 389 (33.52%) cases at high risk of ASCVD. Among them, high ASCVD risk was observed in 1 107 (30.45%), 896 (37.68%), 122 (27.11%), and 1 364 (34.58%) patients with non-obese, general obesity only, central obesity only, and combined obesity, respectively. Multivariable logistic regression analysis showed that after adjusting for gender, age, smoking, drinking, physical activity, and diabetes, the risk of high ASCVD in hypertensive patients with general obesity only and combined obesity was 1.383 times (95%CI: 1.235-1.548) and 1.225 times (95%CI: 1.109-1.354) that of non-obese hypertensive patients, respectively. Conclusions General obesity only and combined obesity can increase the 10-year high risk of ASCVD among hypertensive patients. It is necessary to strengthen comprehensive management of body weight and WC among hypertensive patients to reduce the risk of ASCVD.

Obesity is a multi-factorial disease involving genetics, individual behavior, socio-economic status, and environmental factors, and has become a global public health issue. The food environment, as an external factor amenable to direct intervention, affects the development of obesity by shaping individual food acquisition and consumption behaviors. The food environment refers to the physical and social environment where food is accessible, and can be assessed from dimensions such as availability, accessibility, and affordability through geographic information system spatial analysis, field surveys, commercial databases, and questionnaires. Studies indicate that the food environment can influence obesity through the spatial shaping effects of dietary structure and sociobehavioral pathways. A healthy food environment is negatively correlated with the risk of obesity, whereas an unhealthy food environment is positively correlated with the risk of obesity. This paper reviews studies related to the correlation between the food environment and obesity, covering the prevalence of obesity, the definition and assessment methods of the food environment, and the mechanisms by which the food environment affects obesity. It summarizes food environment intervention strategies centered on urban planning, policies and regulations, and community education to provide a reference for obesity prevention and control.

Childhood obesity has become a global public health issue. Current research indicates that early life obesogen exposure has emerged as a significant risk factor for childhood obesity. While obesogens have been confirmed to influence the development and progression of childhood obesity through mechanisms such as endocrine disruption and epigenetic programming, controversies remain regarding the establishment of causal relationships, assessment of combined exposures, and validation of transgenerational effects in humans. In recent years, novel approaches including multi-omics technologies, exposome-based analysis, and multigenerational cohort studies have integrated dynamic biomarker monitoring with analyses of social-environmental interactions, offering new perspectives and methodologies for constructing a systematic "exposure-mechanism-outcome" research framework. This article reviews literature from PubMed and Web of Science up to August 2025 on the association between early life obesogen exposure and childhood obesity, summarizing evidence on the health effects of early life obesogen exposure, major exposure pathways and internal exposure assessment, interactions and amplifying effects of social and environmental factors, as well as the biological mechanisms underlying obesogen action. It further examines current research frontiers and challenges, aiming to provide a theoretical foundation for early prevention and precision intervention of childhood obesity.

Objective: To investigate the epidemiological characteristics and spatial-temporal clustering of severe fever with thrombocytopenia syndrome (SFTS) in Huai'an City, Jiangsu Province from 2011 to 2024, so as to provide a basis for optimizing local SFTS prevention and control strategies, and identifying high-risk areas and key populations. Methods: Data on SFTS incidence and deaths in Huai'an City from 2011 to 2024 were collected from the Infectious Disease Reporting Information System of the Chinese Disease Prevention and Control Information System. The reported incidence, mortality, and fatality rates were calculated. Descriptive analysis was performed on temporal, population, and regional distribution. The average annual percent change (AAPC) was used to analyze the trend in the reported incidence of SFTS. Global and local spatial autocorrelation analyses were employed to examine the spatial distribution patterns and spatial association patterns of SFTS incidence while spatio-temporal scanning analyses was used to assess the spatial-temporal clustering of SFTS. Results: A total of 337 SFTS cases were reported in Huai'an City from 2011 to 2024, with the reported incidence rising from 0.17/100 000 to 1.88/100 000. There were 20 deaths, with an average annual mortality of 0.03/100 000, and a fatality rate of 5.93%. The incidence showed obvious seasonality, with a peak in May and June (148 cases, accounting for 43.92%). Spring and summer accounted for 107 cases (31.75%) and 159 cases (47.18%), respectively. The reported SFTS cases were mainly male, farmers, and individuals aged ≥41 years, accounting for 56.38%, 79.23%, and 96.74%, respectively. The population distribution of death cases was basically consistent with that of incident cases. Xuyi County was a high-incidence area, with a total of 332 reported cases, accounting for 98.52%. All death cases were reported in this county. Spatial autocorrelation analyses revealed a positive spatial correlation in SFTS incidence from 2019 to 2024, with Moran's I values ranging from 0.214 to 0.336 (all P<0.05). Heqiao Town, Tianquanhu Town, and Guiwu Town in Xuyi County were identified as high-high clustering areas. Spatio-temporal scanning analyses showed that cluster 1 was consistent with the high-high clustering areas, with an aggregation time from the second quarter of 2019 to the second quarter of 2022. Conclusions From 2011 to 2024, the reported incidence of SFTS in Huai'an City showed an upward trend, with a high incidence in spring and summer. Males, farmers, and the middle-aged and elderly population were the key populations for prevention and control. Xuyi County was the key area for prevention and control.