The study aimed to explore whether sugary beverage consumption is a key mediator of late chronotype, sleep duration, and weight increase in college students in China. The cross-sectional study was conducted in four universities using a sample of 800 undergraduate students recruited by cluster sampling. A self-reported questionnaire was given out to collect information, including the characteristic of social demography, state of physical exercise and sugary beverage intake, the types of chronotype, and psychological conditions. Then, two structural equation models (SEMs) were constructed to test the mediating effect of sugary beverage consumption. The significant indirect effect of sugary beverage consumption was found between chronotype and BMI (effect = − 0.03, SE = 0.01, 95% CI [− 0.05, − 0.02]) and between sleep duration and BMI (effect = − 0.12, SE = 0.05, 95% CI [− 0.16, − 0.09]). In addition, physical exercise and psychological condition also play mediating effects between chronotype and BMI (effect = − 0.04, SE = 0.01, 95% CI [− 0.06, − 0.01] and effect = − 0.03, SE = 0.02, 95% CI [− 0.05, − 0.01]), but their mediating effect was not found between sleep duration and BMI. Preventive measures should be taken to decrease student’s sugary beverage consumption, improve physical exercise, and increase individual well-being to avoid the harmful effects of eveningness. Moreover, the issue of short sleep duration among college students may be further investigated in future research.

Being overweight and obese is a serious public health issues in China. However, the effects of substance use and mental factors on weight changes remain unclear. In this study, we aimed to investigate the association among self-perceived stress, history of smoking and drinking, and weight status by using data from the China Health and Nutrition Survey in 2015. A total of 8028 adults were selected from China Health and Nutrition Survey in 2015. The self-reported data primarily included sociodemographic data, self-perceived stress scores, and history of smoking and drinking. Physical measurements including height and weight were logged to calculate body mass index. Multivariate and multinomial regression models were used to estimate effects of substance and perceived stress on weight status. The prevalence of underweight and overweight/obese people were 4.52% and 51.51% in Chinese adults, respectively. Adults with high perceived stress were negatively associated with being overweight and obese (OR = 0.80, 95% CI = 0.66–0.97 in the middle level and OR = 0.69, 95%CI = 0.55–0.88 in the high level). Adults with history of smoking had low risk of being overweight/obese (OR = 0.71, 95% CI = 0.62–0.82). Adults with history of drinking had high risk of overweight/obese (OR = 1.22, 95% CI = 1.06–1.40). In addition, the association between drinking and overweight/obese was affected by different levels of perceived stress (OR = 1.15, 95%CI = 0.83–1.59 in low-stress group and OR = 1.42, 95%CI = 1.04–1.94 in high-stress group). The effects of self-perceived stress and history of smoking as well as drinking on weight status were significant in this study. The government and healthcare policymakers should strengthen early psychological factor and behavioral intervention to decrease the prevalence of abnormal-weight status.

Background: Wastewater-based epidemiology (WBE) is a cornerstone of post-pandemic SARS-CoV-2 surveillance, yet the environmental covariates and spatiotemporal heterogeneities of viral signals remain poorly characterized. Methods: We conducted a 35-month longitudinal study across 19 sites in Chongqing, China, quantifying SARS-CoV-2N gene concentrations via RT-qPCR to assess the value of WBE and the correlation between viral concentrations and meteorological fluctuations. We employed Gaussian generalized additive models with REML estimation to quantify seasonal dynamics and lagged effects of diurnal temperature range (DTR). Results: A total of 2,520 wastewater samples with complete data were obtained, with an overall N gene detection rate of 62.02%, a median flow-population normalized viral load of 8.40 log10 gc/day per 1,000 inhabitants, and median 1-day, 3-day and 7-day lagged DTR of 6.05 °C, 6.05 °C and 5.67 °C, respectively. Our results demonstrate a surveillance lead time for wastewater signals relative to clinical notifications. WBE detected a 2025 resurgence 2 months earlier than official reports. Wastewater SARS-CoV-2 circulation exhibited a distinct seasonal pattern, characterized by a primary peak in June and two secondary peaks in March and August. The spatiotemporal distribution patterns revealed by monthly heatmaps were highly consistent with the city-wide seasonal trends, and significant spatial heterogeneity was observed. The 7-day moving average DTR exhibited a complex nonlinear relationship with viral loads, initially decreasing, then increasing to a peak at 7–8 °C before declining again. Conclusion: These findings indicate that WBE serves as a useful population-level proxy for infection burden and trends, complementing clinical surveillance. The statistical association between DTR and viral dynamics offers a predictive framework for refining early-warning systems and informs targeted interventions in complex urban environments.