PATIENTS AND METHODS: This study harnesses the comprehensive CLHLS data from 2011 to 2018 and utilizes the "Pilot Industrialization of Old-Age Service in a Market-Oriented Way" policy as a quasi-natural experiment. Employing the Difference-in-Differences (DID) method, our study aims to evaluate the impact of industrializing older adult care services on the physical and mental health outcomes of older adults in China.

RESULTS: The findings strongly indicate that the government's adoption of a market-driven fiscal approach within its policies, aimed at attracting social capital and fostering the industrialization of older adult care services, positively influences the physical and mental well-being of the aged population. Furthermore, through heterogeneity analysis, it becomes evident that the health promotion effect is particularly pronounced among older individuals living without a spouse, lacking family care from children or grandchildren, or residing in financially underdeveloped regions.

METHODS: The study examined the relationships between information cocoons and depression, loneliness, and family emotional support among 400 Chinese elderly people. The statistical software package SPSS was used to establish a moderated mediation model between information cocoons and depression.

RESULTS: Information cocoons directly predicted depression among the elderly participants. Family emotional support moderated the first half and the second half of the mediation process, whereby information cocoons affected the depression of the elderly through loneliness. Specifically, in the first half of the mediation process, when the level of information cocoons was lower, the role of family emotional support was more prominent. In the second half of the process, when the level of family emotional support was higher, such support played a more protective role in the impact of loneliness on depression.

METHODS: This study surveyed 607 young Chinese women using the Fertility Anxiety Scale developed by Zhang and Zhao. Mplus software was used for latent class analysis of respondents' fertility anxiety. A three-step approach with multinomial logistic regression was used to explore factors influencing fertility anxiety among married and unmarried women.

RESULTS: The latent class analysis supported a two-category model: "high fertility anxiety" (65.70 % married, 53.70 % unmarried) and "low fertility anxiety" (34.30 % married, 46.30 % unmarried). Multinomial logistic regression showed that increased social media usage intensity and perception of health-family risks correlated with higher fertility anxiety in both married and unmarried women. Among unmarried women, intergroup emotions and perceptions of occupational-economic risks also influenced fertility anxiety. Attention to national policies did not significantly impact fertility anxiety among young women.

MATERIAL AND METHODS: The case-control study was conducted among 116 cases identified through passive surveillance systems over three years.The control subjects were 232 living in the same village for more than six months without any history of ST infection were selected by matching to the age (within 5-years) and identified through active surveillance. Statistical analyses were performed using SPSS v. 25.0 for Windows (IBM SPSS, Chicago, IL, USA).

RESULTS: The mean age of confirmed persons was 58.1(SD=10.15) years, while control subjects were 56.14 (11.57).There is no significant difference in gender, age, education, and occupations between case and control. Farmers had the most significant number of cases among occupational groups. The three factors that were significantly associated with an increased odds of having ST infection are bundling or moving waste straw (OR: 1.94, 95%CI; 0.99,381), morning exercise in the park or field (OR: 4.74 95%CI; 1.19, 18.95), and working as labourer in the vegetable field (OR:1.02, 95%CI:1.02,3.19).

METHODS: This study involves a comprehensive search of different databases like Web of Science, PubMed, Embase, EBSCOhost, Cochrane, and Scopus. Specific criteria are established for the selection process to make sure the relevant literature included. The quality assessment of the included researches is conducted based on the guidelines outlined in the Cochrane 5.1 handbook. Review Manager 5.3 software is employed to synthesis the effect sizes. Additionally, bias is assessed using funnel plots, and to identify potential sources of heterogeneity, subgroup analyses are performed.

METHODS: The study focused on analyzing 3,200 comments from Weibo, concentrating on six prominent topics linked to women's marriage and fertility. These topics were treated as research cases. The research employed natural language processing techniques, such as sentiment orientation analysis, Word2Vec, and TextRank.

RESULTS: Firstly, the overall sentiment orientation of Chinese women toward marriage and fertility was largely pessimistic. Secondly, the factors contributing to this negative sentiment were categorized into four dimensions: social policies and rights protection, concerns related to parenting, values and beliefs associated with marriage and fertility, and family and societal culture.

METHODS: Information regarding the consumption of coffee, tea, and alcohol was collected from the UK Biobank, with sample sizes of 428,860, 447,485, and 462,346 individuals, respectively. Data on 41 inflammatory cytokines were obtained from summary statistics of 8293 healthy participants from Finnish cohorts.

RESULTS: The consumption of coffee was found to be potentially associated with decreased levels of Macrophage colony-stimulating factor (β = -0.57, 95% CI -1.06 ~ -0.08; p = 0.022) and Stem cell growth factor beta (β = -0.64, 95% CI -1.16 ~ -0.12; p = 0.016), as well as an increase in TNF-related apoptosis-inducing ligand (β = 0.43, 95% CI 0.06 ~ 0.8; p = 0.023) levels. Conversely, tea intake was potentially correlated with a reduction in Interleukin-8 (β = -0.45, 95% CI -0.9 ~ 0; p = 0.045) levels. Moreover, our results indicated an association between alcohol consumption and decreased levels of Regulated on Activation, Normal T Cell Expressed and Secreted (β = -0.24, 95% CI -0.48 ~ 0; p = 0.047), as well as an increase in Stem cell factor (β = 0.17, 95% CI 0.02 ~ 0.31; p = 0.023) and Stromal cell-derived factor-1 alpha (β = 0.20, 95% CI 0.04 ~ 0.36; p = 0.013).