Ethnicity, migration and health: A population-based study of 338 refugees from Latin America, 396 nonrefugee immigrants from Finland and 161 from southern Europe and 996 age-, sex- and education-matched controls from Sweden

This article shows the influence of being a refugee from Latin America or a nonrefugee immigrant from southern Europe or Finland on self-reported illness, controlling for social factors and lifestyle. The study population consisted of 338 Latin American refugees, a random sample of 396 Finnish and 161 southern European immigrants and 996 age-, sex- and education-matched Swedish controls. The data were analysed unmatched with logistic regression (multivariate analysis) in main effect models. The strongest independent risk indicator for long-term illness was being a Latin American refugee (estimated odds ratio (OR)=2.96, 95% confidence interval (CI)=2.19–3.82). There was a significant association between being a Latin American refugee and period prevalence, ill health and unsatisfied need for care. Being a southern European or Finnish immigrant was a risk indicator of ill health but was not associated with the other dependent factors. Not feeling secure in daily life was a strong risk indicator for long-term illness and ill health (estimated OR=1.89, 95% CI=1.26–2.76 and OR=3.04, 95% CI= 1.97–4.48) respectively). Being a Latin American refugee was equal in importance to traditional risk factors such as overweight and not taking regular exercise for long-term illness and ill health.     

Discrete time modelling of disease incidence time series by using Markov chain Monte Carlo methods

Summary.  A stochastic discrete time version of the susceptible–infected–recovered model for infectious diseases is developed. Disease is transmitted within and between communities when infected and susceptible individuals interact. Markov chain Monte Carlo methods are used to make inference about these unobserved populations and the unknown parameters of interest. The algorithm is designed specifically for modelling time series of reported measles cases although it can be adapted for other infectious diseases with permanent immunity. The application to observed measles incidence series motivates extensions to incorporate age structure as well as spatial epidemic coupling between communities.     

对大学生课外体育锻炼中加强自我医务监督的思考

通过对大学生课外体育锻炼中运动性伤病产生原因的分析,提出了大学生应加强科学锻炼和自我医务监督的思考,以期达到指导大学生科学锻炼身体,减少运动性伤病的发生,有效增强体质,不断提高健康水平和学习效率的目的。     

Predictive Bayesian Microbial Dose-Response Assessment Based on Suggested Self-Organization in Primary Illness Response: Cryptosporidium parvum

The probability of illness caused by very low doses of pathogens cannot generally be tested due to the numbers of subjects that would be needed, though such assessments of illness dose response are needed to evaluate drinking water standards. A predictive Bayesian dose-response assessment method was proposed previously to assess the unconditional probability of illness from available information and avoid the inconsistencies of confidence-based approaches. However, the method uses knowledge of the conditional dose-response form, and this form is not well established for the illness endpoint. A conditional parametric dose-response function for gastroenteric illness is proposed here based on simple numerical models of self-organized host-pathogen systems and probabilistic arguments. In the models, illnesses terminate when the host evolves by processes of natural selection to a self-organized critical value of wellness. A generalized beta-Poisson illness dose-response form emerges for the population as a whole. Use of this form is demonstrated in a predictive Bayesian dose-response assessment for cryptosporidiosis. Results suggest that a maximum allowable dose of 5.0 x 10(-7) oocysts/exposure (e.g., 2.5 x 10(-7) oocysts/L water) would correspond with the original goals of the U.S. Environmental Protection Agency Surface Water Treatment Rule, considering only primary illnesses resulting from Poisson-distributed pathogen counts. This estimate should be revised to account for non-Poisson distributions of Cryptosporidium parvum in drinking water and total response, considering secondary illness propagation in the population.     

Socioeconomic Status and Mental Illness in Japan*

Abstract Since the pioneering work of Faris and Dunham (1938), a number of studies in the United States have documented an inverse association between socioeconomic status (SES) and mental illness both at the aggregate and the individual levels, and both for the treated and the general population. However, there are few studies of whether this relationship holds in other countries. This study examines socioeconomic characteristics and mental illness in Japan, which has a very different social stratification system from that of the United States. It was found that, at the aggregate level, the “inverse” association between socioeconomic characteristics and the rate of treated mental illness does not hold in Japan. Instead, the relationship is curvilinear: mental illness is higher in districts with large numbers of blue collar and upper white collar workers than in districts with large numbers of lower white collar workers. The effect of SES on mental illness operates through economic stress embedded in the macro social context. Because different social structures lead to different patterns of economic stress, the inverse relationship between socioeconomic status and mental health cannot be assumed to hold in all countries.     

网络群体事件政府治理的演化博弈分析

利用演化博弈模型预测舆论的发展趋势,对政府应对网络群体事件采取的治理模式进行了研究.在一般化复制动态模型基础上建立网络群体事件舆论的传播方程,将地方政府部门与弱势群体的策略互动和行为演化融入到传染病传播模型中,用以模拟舆论的扩散和收敛过程.结果表明:在网络群体事件初期,如果弱势群体通过抗争获得政府补偿的概率不断增大,将造成事态的扩大.此时,地方政府应控制信息的交流程度与初始抗争人数,减缓舆论的扩散;在网络群体事件舆论大范围扩散阶段,上级政府介入并采取惩罚措施,及时披露信息,促使网络舆论的收敛平息,实现社会福利最大化.     

Respiratory illness in Saskatoon infants: The impact of housing and neighbourhood characteristics

Respiratory illness is an important childhood illness and a significant cause of infant mortality. This study examined the relationship between neighbourhood level variables and rates of respiratory illness for children less than 2 years of age, born in Saskatoon between 1992 and 1994. Rates of respiratory illness, as measured by proportion of children hospitalized and frequency of hospitalization and ambulatory visits to physicians, were higher among infants living in socially disadvantaged neighbourhoods. Multivariate predictive models for rates of respiratory illness support the research hypothesis that housing characteristics, in the presence of other neighbourhood characteristics, have a significant impact on determining the rates of respiratory illness among Saskatoon children.     

Trauma and health risk behaviors in people with severe mental illness

The current study tests the association between a composite measure of unsafe sex and sharing syringes for drug use with six of the more common lifetime traumatic/stressful events in 421 community mental health clients with severe mental illness (SMI) while controlling for psychiatric symptoms and related problems. A small but significant proportion of respondents said they had injected drugs with a shared needle in their lifetime (30, 7.2%), and a much larger proportion of respondents had engaged in unprotected sex (165, 39.2%). Unprotected sex and needle sharing were significantly correlated (Spearman’s rho = .20, p < .01). Frequency of lifetime traumatic events that occurred at least once was reported by one third to three quarters of clients depending on type of trauma. Regression analysis revealed that substance abuse and lifetime homelessness were significantly correlated with health risk behaviors. Practitioners need to be continuously vigilant to comorbid substance use and the housing needs of people with SMI. Limitations of the study include its cross-sectional design.     

Justice involvement among homeless individuals with mental illnesses: Are self-report and administrative measures comparable?

Individuals with mental illnesses who experience homelessness have frequent interactions with the criminal justice system. Correctly measuring this involvement is essential to develop and evaluate the efficacy of intervention programs. Criminal justice involvement is typically assessed through administrative records or self-reported accounts. The aims of this study are to: 1) assess agreement between self-report and administrative data related to court appearances, and 2) identify individual characteristics that affect discrepancies between sources. Participants were 468 homeless persons with mental illness from the Montreal site of the At Home/Chez Soi randomized controlled trial, in Canada. Self-reported data was collected through an interviewer-administered questionnaire. Administrative data was collected through provincial and municipal court databases. Overall, agreement was good. Discrepancies were more common among those with a diagnosis of mood disorder with psychotic features, and those with a criminal history. Increased age and interviewer’s perception of sincerity and interest increased likelihood of concordance. Generally, high agreement between self-report and administrative data suggests that either source can provide reliable information. Further work to understand predictors of discrepancies could further enhance the quality of data collected through these different sources.