Risk factors for bronchial asthma in children with allergic rhinitis / 中国学校卫生

Objective@#To explore the risk factors of bronchial asthma in children with allergic rhinitis, and to provide evidence for the early diagnosis, treatment and prevention of asthma in children with allergic rhinitis.@*Methods@#Children with allergic rhinitis and children with allergic rhinitis and asthma, who attended the Allergy Clinic of the Capital Institute of Pediatrics from November 2019 to October 2020, were recruited for the study. Medical history, clinical characteristics, allergen types and risk factors were collected and analyzed.@*Results@#A total of 117 children with allergic rhinitis and 111 children with allergic rhinitis that subsequently developed into asthma were included. The results of the univariate analysis showed that the occurrence of asthma in children with allergic rhinitis was associated with the course of rhinitis, severity of rhinitis, type of rhinitis, seasonal onset, history of pet contact, family history of allergic diseases, mold, ragweed, dermatophagoides culinae and dust mite sensitization( χ 2=6.15, 8.79, 3.99, 9.44, 5.17, 4.43, 8.48, 10.38, 6.18, 5.31, P <0.05). The Logistic regression analysis showed that rhinitis severity( OR = 7.03 ), family history of allergic diseases( OR =8.24), mold( OR =5.19), and household dust mite sensitization ( OR =25.25) were positively correlated with the occurrence of asthma in children with allergic rhinitis( P <0.05), and dust mite sensitization was the strongest risk factor.@*Conclusion@#The development of asthma in children with allergic rhinitis is affected by many factors, among which the severity of rhinitis, family history of allergic diseases and dust mite sensitization are the most important factors.

Trust, risk perception, and COVID-19 infections: Evidence from multilevel analyses of combined original dataset in China.

Previous studies have revealed medical, democratic, and political factors altering responses to unexpected infectious diseases. However, few studies have attempted to explore the factors affecting disease infection from a social perspective. Here, we argue that trust, which plays an important role in shaping people' s risk perception toward hazards, can also affect risk perception toward infections from a social perspective. Drawing on the indication that risk perception of diseases helps prevent people from being infected by promoting responsible behaviors, it can be further asserted that trust may alter the infection rate of diseases as a result of risk perception toward infectious diseases. This is an essential point for preventing the spread of infectious diseases and should be demonstrated. To empirically test this prediction, this study uses the COVID-19 outbreak in China as an example and applies an original dataset combining real-time big data, official data, and social survey data from 317 cities in 31 Chinese provinces to demonstrate whether trust influences the infection rate of diseases. Multilevel regression analyses reveal three main results: (1) trust in local government and media helps to reduce the infection rate of diseases; (2) generalized trust promotes a higher rather than lower infection rate; and (3) the effects of different types of trust are either completely or partly mediated by risk perception toward diseases. The theoretical and practical implications of this study provide suggestions for improving the public health system in response to possible infectious diseases.

Substitute or complement? How social capital, age and socioeconomic status interacted to impact mortality in Japan's 3/11 tsunami.

BACKGROUND: Research underscoring the critical nature of social capital and collective action during crises often overlooks the ways that social ties interact with vulnerability factors such as age and socioeconomic status. METHODS: We use three different data structures and five types of regression models to study mortality rates across 542 inundated neighborhoods from nearly 40 cities, towns, and villages in Japan's Tohoku region which was flooded by the 11 March 2011 tsunami. RESULTS: Controlling for factors thought important in past studies - including geographic administrative, and demographic conditions - we find that social capital interacts with age and socioeconomic status to strongly correlate with mortality at the neighborhood level. For the elderly and those with lower socioeconomic status, ceteris paribus, deeper reservoirs of social capital are linked with lower levels of mortality. CONCLUSION: While most societies invest heavily in physical infrastructure to mitigate future shocks, this paper reinforces the growing call for spending on social infrastructure to develop communities which can cooperate and collaborate during crises. For the elderly and poor, social ties can serve as a literal lifeline during times of need.