UNASSIGNED: To investigate the effects of age, period, and cohort on the trends of depression; and to examine the influence of these three temporal effects on residential disparities in depression.
UNASSIGNED: Using data from the China Health and Retirement Longitudinal Study (CHARLS) during 2011 to 2020, involving 77,703 respondents aged 45 years old and above. The measurement of depressive symptoms was the score of 10-question version of the Center for Epidemiologic Studies Depression Scale (CES-D 10). The hierarchical age-period-cohort cross-classified random effects models were conducted to examine trends in depressive symptoms related to age, period and cohort.
UNASSIGNED: CES-D scores increased with age and slightly decreased at older age. The cohort trends mostly increased except for a downward trend among those born in 1950s. As for the period effect, CES-D scores decreased gradually from 2011 to 2013 followed by a upward trend. Rural residents were associated with higher level of depression than those live in urban area. These residence gaps in depression enlarged before the age of 80, and then narrowed. The urban-rural disparities in CES-D scores gradually diminished across cohorts, while the corresponding period-based change in urban-rural gaps was not significant.
UNASSIGNED: When age, period, cohort factors are considered, the age effects on depression dominated, and the period and cohort variations were relatively small. The residence disparities in depression reduced with successive cohorts, more attention should be paid to the worsening depression condition of younger cohorts in urban areas.

UNASSIGNED: Social media usage carries risks of negative impacts on one\'s perception of physical attractiveness, especially among adolescents who are developing their self-image. These findings suggest that targeted interventions focusing on attention-seeking behaviors may be effective in addressing appearance-related anxieties among adolescents.
UNASSIGNED: We employed Bayesian analysis with Markov Chain Monte Carlo algorithms on survey data from 11,926 middle school students in China.
UNASSIGNED: Our findings indicate that while the amount of daily social media usage does not significantly correlate with appearance concerns, the desire for social media attention through interactions such as liking, commenting, and sharing shows a clear positive association. Female adolescents exhibit a higher degree of concern about their physical appearance compared to males. Additionally, behaviors aimed at improving perceived physical attractiveness, such as exercising and using skin-whitening products, are positively associated with increased appearance concerns.
UNASSIGNED: These findings suggest that targeted interventions focusing on attention-seeking behaviors may be effective in addressing appearance-related anxieties among adolescents.

While maintaining a robust reserve of daily necessities is crucial for urban safety, but there is a lack of scientific basis for determining \"what to store\" and \"how much to store.\" This paper address this gap by classifying and summarizing the emergency materials of urban necessities in Shanghai, and establishing a corresponding reserve list. By constructing an index model of daily necessities reserve, this paper provides a scientific foundation for \"what to store.\" Additionally, the reserve levels of different types of daily necessities are classified and managed, the reserve model of emergency daily necessities is constructed. This approach clarifies the scientific basis for \"how much to store,\" overcoming the problems of subjective factors interference and the potential mismatch between the results of objective weighting method and reality. Furthermore, to better cope with emergencies, countermeasures and suggestions are put forward: optimizing the material structure of emergency reserves, managing the material reserves at different levels, scientifically and reasonably planning the amount of emergency materials, and reducing the cost of reserves and improve the efficiency of emergency reserves.

Objective: To analyze the detection of colorectal advanced neoplasms in the population who underwent colonoscopy screening in Henan Province as part of the Urban China Cancer Screening Program and its influencing factors. Methods: A cross-sectional study design was employed. Based on the Cancer Screening Program conducted in Henan Province, the study enrolled 7 454 urban residents who manifested no symptoms and were recruited from eight cities in the province, including Zhengzhou, Zhumadian, Anyang, Luoyang, Nanyang, Jiaozuo, Xinxiang, and Puyang from October 2013 to October 2019, and participated in colonoscopy screening. The χ2 test was used to compare the detection rates of colorectal advanced neoplasms among participants with different characteristics, and a multivariate logistic stepwise regression model was used to analyze the factors affecting the detection rates. Results: A total of 7 454 subjects underwent colonoscopy screening, and 112 cases of colorectal advanced neoplasms were detected. Multivariate logistic regression analysis suggested that older age, smoking, higher meat intake, history of diabetes, and family history of colorectal cancer in a first-degree relative were risk factors for colorectal advanced neoplasms. The detection rate was significantly higher in people aged 60-74 years compared with those aged 40-49 years, with an odds ratio (OR) of 2.04 (95% CI: 1.23-3.38).The rates were higher in people who smoked than those who did not smoke, with an OR of 2.21 (95% CI: 1.48-3.31), and in people who consumed more meat than those who consumed less, with an OR of 1.53 (95% CI: 1.04-2.26). Those with diabetes had a higher detection rate compared with those without, with an OR of 1.69 (95% CI: 1.07-2.69), and those with a first-degree family history of colorectal cancer had a higher detection rate than those without, with an OR of 1.64 (95% CI: 1.09-2.46). Conclusion: The detection rate of colorectal advanced neoplasms through colonoscopy screening in Henan Province covered by the Urban China Cancer Screening Program is 1.50%. Older age, smoking, higher meat intake, history of diabetes, and family history of colorectal cancer in a first-degree relative are identified as risk factors for colorectal advanced neoplasms.
目的： 探讨河南省城市癌症早诊早治项目中结肠镜筛查人群结直肠进展期肿瘤检出情况及其影响因素。 方法： 采用横断面研究设计，依托河南省城市癌症早诊早治项目，以2013年10月至2019年10月在河南省郑州市、驻马店市、安阳市、洛阳市、南阳市、焦作市、新乡市和濮阳市招募的无症状参与结肠镜筛查的7 454名城市居民为研究对象，采用χ2检验比较不同特征人群的结直肠进展期肿瘤检出率，采用多因素logistic回归模型分析结直肠进展期肿瘤检出的影响因素。 结果： 接受结肠镜筛查的7 454人中共检出进展期肿瘤112例，检出率为1.50%。多因素logistic回归分析显示，年龄、吸烟史、肉类摄入量、糖尿病史和一级亲属结直肠癌家族史是结直肠进展期肿瘤检出的独立影响因素。与40～49岁组相比，60～74岁组检出结直肠进展期肿瘤的风险增高（OR=2.04，95% CI：1.23～3.38）；与不吸烟人群相比，正在吸烟的人群检出结直肠进展期肿瘤的风险增高（OR=2.21，95% CI：1.48～3.31）；与肉类摄入量较少的人群相比，肉类摄入量较多的人群检出结直肠进展期肿瘤的风险增高（OR=1.53，95% CI：1.04～2.26）；与无糖尿病史的人群相比，有糖尿病史的人群检出结直肠进展期肿瘤的风险增高（OR=1.69，95% CI：1.07～2.69）；与无一级亲属结直肠癌家族史的人群相比，有一级亲属结直肠癌家族史的人群检出结直肠进展期肿瘤的风险增高（OR=1.64，95% CI：1.09～2.46）。 结论： 河南省城市癌症早诊早治项目中结肠镜筛查结直肠进展期肿瘤的检出率为1.50%，高龄、吸烟、肉类摄入较多、糖尿病史、结直肠癌一级亲属家族史是结直肠进展期肿瘤的危险因素。.

The presence of community cats roaming freely in urban spaces has caused considerable controversy. This is because the management and care of community cats have yet to become part of urban community governance. This research analyzes the process and mechanism of integrating community cats into urban community governance from the interaction between community cats and urban residents. Data were collected through participatory observation and unstructured interviews. Drawing upon the analytical framework of \'Norms, Trust, and Networks\' derived from social capital theory, this research reveals that social norms and trust activate the social capital of the community, fostering a social network with \'community cats\' at its core. More importantly, this social network extends the scope of care from the community cat to other members of the community. This research defines this mechanism as \'care extension.\' This not only fosters a neighborly relationship between residents and community cats that goes beyond mere ecological interactions, but also helps foster a compassionate and harmonious multi-species urban community.

UNASSIGNED: Point-of-care Testing (POCT) glycosylated hemoglobin (HbA1c) is a convenient, cheap, effective and accessible screening method for type 2 diabetes in rural areas and community settings that is widely used in the European region and Japan, but not yet widespread in China. The study is the first to evaluate the cost-effectiveness of POCT HbA1c, fasting capillary glucose (FCG), and venous blood HbA1c to screen for type 2 diabetes in urban and rural areas of China, and to identify the best socio-economically beneficial screening strategy.
UNASSIGNED: Based on urban and rural areas in China, economic models for type 2 diabetes screening were constructed from a social perspective. The subjects of this study were adults aged 18-80 years with undiagnosed type 2 diabetes. Three screening strategies were established for venous blood HbA1c, FCG and POCT HbA1c, and cost-effectiveness analysis was performed by Markov models. One-way sensitivity analysis and probabilistic sensitivity analysis were performed on all parameters of the model to verify the stability of the results.
UNASSIGNED: Compared with FCG, POCT HbA1c was cost-effective with an incremental cost-utility ratio (ICUR) of $500.06/quality-adjusted life year (QALY) in urban areas and an ICUR of $185.10/QALY in rural areas, within the willingness-to-pay threshold (WTP = $37,653). POCT HbA1c was cost-effective with lower cost and higher utility compared with venous blood HbA1c in both urban and rural areas. In the comparison of venous blood HbA1c and FCG, venous blood HbA1c was cost-effective (ICUR = $20,833/QALY) in urban areas but not in rural areas (ICUR = $41,858/QALY). Sensitivity analyses showed that the results of the study were stable and credible.
UNASSIGNED: POCT HbA1c was cost-effective for type 2 diabetes screening in both urban and rural areas of China, which could be considered for future clinical practice in China. Factors such as geographic location, local financial situation and resident compliance needed to be considered when making the choice of venous blood HbA1c or FCG.

BACKGROUND: Cervical and breast cancers are among the top 4 leading causes of cancer-related mortality in women. This study aimed to examine age-specific temporal trends in mortality for cervical and breast cancers in urban and rural areas of China from 2009 to 2021.
METHODS: Age-specific mortality data for cervical and breast cancers among Chinese women aged 20-84 years were obtained from China\'s National Disease Surveillance Points system spanning the years 2009 to 2021. Negative binomial regression models were utilized to assess urban-rural differences in mortality rate ratios, while Joinpoint models with estimated average annual percent changes (AAPC) and slopes were employed to compare temporal trends and the acceleration of mortality rates within different age groups.
RESULTS: From 2009 to 2021, there was a relative increase in age-specific mortality associated with the two cancers observed in rural areas compared with urban areas. A rising trend in the screening age of 35-64 [AAPC: 4.0%, 95% confidence interval (CI) 0.5-7.6%, P = 0.026] for cervical cancer was noted in rural areas, while a stable trend (AAPC: - 0.7%, 95% CI - 5.8 to 4.6%, P = 0.78) was observed in urban areas. As for breast cancer, a stable trend (AAPC: 0.3%, 95% CI - 0.3 to 0.9%, P = 0.28) was observed in rural areas compared to a decreasing trend (AAPC: - 2.7%, 95% CI - 4.6 to - 0.7%, P = 0.007) in urban areas. Urban-rural differences in mortality rates increased over time for cervical cancer but decreased for breast cancer. Mortality trends for both cervical and breast cancers showed an increase with age across 4 segments, with the most significant surge in mortality observed among the 35-54 age group across urban and rural areas, periods, and regions in China.
CONCLUSIONS: Special attention should be given to women aged 35-54 years due to mortality trends and rural-urban disparities. Focusing on vulnerable age groups and addressing rural-urban differences in the delivery of cancer control programs can enhance resource efficiency and promote health equity.

BACKGROUND: Physical health is fundamental to a country\'s socio-economic advancement. An in-depth exploration of the spatial distribution and dynamic evolution of national physical fitness across China is crucial for enhancing the country\'s overall physical health. This study aims to provide valuable insights into the geographical and temporal patterns of physical fitness, informing strategies for national physical fitness improvement.
METHODS: Employing data from China\'s national physical fitness monitoring of 31 provinces, cities, and districts for the years 2005, 2010, and 2015, this study utilizes the Gini coefficient, its decomposition, and nonparametric density estimation methods. These techniques are applied to analyze the spatial disparities and temporal trends in national physical fitness levels among different demographics, including the overall population, males, females, and urban and rural residents.
RESULTS: The study reveals that the regional disparity in China\'s national physical fitness initially narrowed and then expanded across the general population, females, and in both urban and rural areas, while consistently increasing among males. In terms of geographical distribution, the East, Middle, and West regions show significant heterogeneity, with the East-West gap being the most pronounced (Gini coefficients of 0.0249, 0.0230, 0.0263). The contribution rate of regional gaps was highest (54.40% -64.69%), followed by regional disparities (24.78% -27.15%), and the contribution of hypervariable density difference was the smallest (10.53% -19.75%). Despite a slight improvement in overall national physical fitness, the absolute regional disparities have further widened.
CONCLUSIONS: Provinces with lower levels of national physical fitness demonstrate a \'club convergence\' trend, indicating regional clustering of similar fitness levels. Additionally, a \'catch-up effect\' is evident in rural areas, particularly in provinces with historically lower levels of national physical fitness. These findings suggest the need for region-specific public health strategies to address the growing disparities in national physical fitness across China.

The main component of China\'s income gap is the urban-rural income gap, which is largely affected by urbanization. It is worth studying how new-type urbanization affects the income gap between urban and rural areas. Research mostly focuses on the urbanization rate as the core explanatory variable to explain the impact using one or two factors. This paper analyzes the mechanism of the effect using a comprehensive number of factors, with the quality of new-type urbanization development as the core explanatory variable. In terms of theoretical research, we believe that new-type urbanization affects the urban-rural income gap by promoting the transfer of labor, changing industrial structure, and policy tendency. Using both static and dynamic empirical analyses, we test the impact of new-type urbanization on the urban-rural income gap based on China\'s provincial data. We find that new-type urbanization is conducive to narrowing the income gap between urban and rural areas. The transfer of labor significantly reduces the urban-rural income gap. However, the upgrading of industrial structure will enlarge the gap. The impact of China\'s policy orientation is negligible. Policy should focus on promoting urbanization and improving the marginal rate of return of agriculture, improve the level of human capital, reverse the mismatch between employment structure and industrial structure, increase support for rural areas, and make substantial progress in promoting common prosperity.

UNASSIGNED: Hypertension is the most prevalent chronic disease among China\'s older population, which comprises a growing proportion of the overall demographic. Older individuals with chronic diseases have a higher risk of developing depressive symptoms than their healthy counterparts, as evidenced in China\'s older population, where patients with hypertension exhibit varying rates of depression depending on residing in urban or rural areas.
UNASSIGNED: This study aimed to investigate factors influencing and contributing to the disparities in depressive symptoms among older urban and rural patients with hypertension in China.
UNASSIGNED: We used a cross-sectional study design and derived data from the 8th Chinese Longitudinal Health Longevity Survey of 2018. The Fairlie model was applied to analyze the factors contributing to disparities in depressive symptoms between urban and rural older populations with hypertension.
UNASSIGNED: The sample size for this study was 5210, and 12.8% (n=669) of participants exhibited depressive symptoms. The proportions of depressive symptoms in rural and urban areas were 14.1% (n=468) and 10.7% (n=201), respectively. In rural areas, years of education (1-6 years: odds ratio [OR] 0.68, 95% CI 1.10-1.21; ≥7 years: OR 0.47, 95% CI 0.24-0.94), alcohol consumption (yes: OR 0.52, 95% CI 0.29-0.93), exercise (yes: OR 0.78, 95% CI 0.56-1.08), and sleep duration (6.0-7.9 hours: OR 0.29, 95% CI 0.17-0.52; 8.0-9.9 hours: OR 0.24, 95% CI 0.13-0.43; ≥10.0 hours: OR 0.22, 95% CI 0.11-0.41) were protective factors against depressive symptoms in older adults with hypertension, while gender (female: OR 1.94, 95% CI 1.33-2.81), self-reported income status (poor: OR 3.07, 95% CI 2.16-4.37), and activities of daily living (ADL) dysfunction (mild: OR 1.69, 95% CI 1.11-2.58; severe: OR 3.03, 95% CI 1.46-6.32) were risk factors. In urban areas, age (90-99 years: OR 0.37, 95% CI 0.16-0.81; ≥100 years: OR 0.19, 95% CI 0.06-0.66), exercise (yes: OR 0.33, 95% CI 0.22-0.51), and sleep duration (6.0-7.9 hours: OR 0.27, 95% CI 0.10-0.71; 8.0-9.9 hours: OR 0.16, 95% CI 0.06-0.44; ≥10.0 hours: OR 0.18, 95% CI 0.06-0.57) were protective factors, while years of education (1-6 years: OR 1.91, 95% CI 1.05-3.49), self-reported income status (poor: OR 2.94, 95% CI 1.43-6.08), and ADL dysfunction (mild: OR 2.38, 95% CI 1.39-4.06; severe: OR 3.26, 95% CI 1.21-8.76) were risk factors. The Fairlie model revealed that 91.61% of differences in depressive symptoms could be explained by covariates, including years of education (contribution 63.1%), self-reported income status (contribution 13.2%), exercise (contribution 45.7%), sleep duration (contribution 20.8%), ADL dysfunction (contribution -9.6%), and comorbidities (contribution -22.9%).
UNASSIGNED: Older patients with hypertension in rural areas had more depressive symptoms than their counterparts residing in urban areas, which could be explained by years of education, self-reported income status, exercise, sleep duration, ADL dysfunction, and comorbidities. Factors influencing depressive symptoms had similarities regarding exercise, sleep duration, self-reported income status, and ADL dysfunction as well as differences regarding age, gender, years of education, and alcohol consumption.