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Up to 92 percent of Chinese women of reproductive age have pre-menstrual syndrome (PMS). The severe form of PMS (i.e. pre-menstrual dysphoric disorder [PMDD]) negatively affects women's everyday functioning and reproductive health. This study examined the relationships between menstrual, psychosocial characteristics and the risk of PMDD among young Chinese women. A cross-sectional online survey was conducted among Chinese university students in Hong Kong. Logistic regression was used to compute adjusted odds ratio (aOR) for the association of high-risk PMDD with menstrual and psychosocial characteristics. A total of 541 Chinese university students were recruited. Approximately 53 percent of female students were at high risk of developing PMDD. The high-risk PMDD group was significantly associated with a heavy volume of menstrual flow (aOR = 2.17, 95 percent CI 1.06–4.45), irregular menstrual cycle (1.72, 1.17–2.52), high dysmenorrhea (2.80, 1.95–4.04) and older ages of menarche (0.67, 0.45–0.98) in the menstrual characteristics. In the psychosocial characteristics, high-risk PMDD was significantly associated with symptoms of anxiety (2.19, 1.48–3.32) and depression (2.22, 1.48–3.32), high loneliness (1.94, 1.34–2.79) and low resilience (2.21, 1.52–3.23) levels. Additionally, resilience had a potential moderating effect on the associations between the high risk of PMDD and anxiety, depression and loneliness. The development and delivery of interventions that can enhance resilience and manage psychological distress would be beneficial for young Chinese women's reproductive health. [ABSTRACT FROM AUTHOR]

The uncertainty and unknowability of emerging infectious diseases have caused many major public health and security incidents in recent years. As a new tick‐borne disease, Dabieshan tick virus (DBTV) necessitate systematic epidemiological and spatial distribution analysis. In this study, tick samples from Liaoning Province were collected and used to evaluate distribution of DBTV in ticks. Outbreak points of DBTV and the records of the vector Haemaphysalis longicornis in China were collected and used to establish a prediction model using niche model combined with environmental factors. We found that H. longicornis and DBTV were widely distributed in Liaoning Province. The risk analysis results showed that the DBTV in the eastern provinces of China has a high risk, and the risk is greatly influenced by elevation, land cover, and meteorological factors. The risk geographical area predicted by the model is significantly larger than the detected positive areas, indicating that the etiological survey is seriously insufficient. This study provided molecular and important epidemiological evidence for etiological ecology of DBTV. The predicted high‐risk areas indicated the insufficient monitoring and risk evaluation and the necessity of future monitoring and control work. [ABSTRACT FROM AUTHOR]

Food production requires a large amount of water. As a country facing a serious scarcity of per capita water resources and severe water pollution, China must explore the spatial distribution characteristics of its dietary water footprint. China is the world's largest developing country, and water consumption inevitably has increased with its economic development. It is essential to explore the factors influencing the water footprint and water conservation mechanisms. Based on China Health and Nutrition Survey (CHNS) data, individual-level data of dietary water footprint and residents' socio-economic characteristics were obtained. The decision tree was applied to classify the dietary water footprint based on socio-economic factors, and multinomial logistic regression was then performed to investigate the influence of each factor. The results showed that all six selected socio-economic factors had a statistically significant impact on the dietary water footprint. Income and education level were positively related to the dietary water footprint; urban residents, males, and residents with a higher body mass index (BMI) consumed more dietary water than rural residents, females, and those with a lower BMI, respectively. Age exhibited an inverted U-shaped influence. Understanding the drivers and disparities of the water footprint of food consumption can support the development of policy for energy conservation, which can ultimately help achieve the goal of reducing water waste. [ABSTRACT FROM AUTHOR]