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.
RESULTS: A total of 1907 academic papers, out of which 2 articles were identified via other data sources. The present study examined the impact of a pedagogical intervention involving physical education games on the enjoyment experienced by children and adolescents. The results indicated a significant positive effect (MD = 0.53, 95%CI:[0.27,0.79], P
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).
CONCLUSION: Revealing the interactions between beverage consumption and various inflammatory cytokines may lead to the discovery of novel therapeutic targets, thereby facilitating dietary interventions to complement clinical disease treatments.
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.
CONCLUSION: This study sheds light on the complex interplay of societal and individual factors in shaping fertility anxiety among young Chinese women. It underscores the enduring cultural significance placed on female fertility and the evolving roles of women in modern China. Regardless of their marital status, both married and unmarried women experience fertility anxiety, highlighting the pervasiveness of this concern.
OBJECTIVE: This study aimed to investigate the associations between meteorological factors and the daily number of new cases of COVID-19 in 9 Asian cities.
METHODS: Pearson correlation and generalized additive modeling (GAM) were performed to assess the relationships between daily new COVID-19 cases and meteorological factors (daily average temperature and relative humidity) with the most updated data currently available.
RESULTS: The Pearson correlation showed that daily new confirmed cases of COVID-19 were more correlated with the average temperature than with relative humidity. Daily new confirmed cases were negatively correlated with the average temperature in Beijing (r=-0.565, P