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The dramatic growth in health expenditures is an important health policy concern worldwide. Therefore, understanding the factors that increase health expenditures provides policy makers with evidence for decision-making. We aim to examine long-term effects of carbon dioxide emission, urbanization rate and GDP per capita on health expenditures. This study investigates the effect of carbon dioxide emission, urban population, and GDP per capita on health expenditure for 21 OECD countries over the period 1992–2018. Panel ARDL Approach and Gengenbach, Urbain and Westerlund Panel Co-integration Test have been used in the article. Test results indicate the long-run relationship among health expenditure and carbon dioxide emission, urban population, and GDP per capita. Effect of carbon dioxide emission (CO2), urban population, and GDP per capita is significant and positive on health expenditure. Rapid economic growths of OECD countries recently and environmental pollution have increased health expenditures in the long term. [ABSTRACT FROM AUTHOR]

Objective: Research has just begun to identify American college students who study abroad as a group at-risk for sexual violence victimization. The purpose of the current study was to examine the context of these incidents. Participants: We utilized a large longitudinal sample of 2,428 United States college students studying abroad for between 4 and 21 weeks in 12 different foreign countries. Methods: We estimated descriptive statistics and logistic regression models to assess prevalence and correlates of sexual victimization abroad, as well as effect size comparisons to quantify changes in drinking abroad. Results: Over one-fifth of students experienced sexual violence while abroad, including sexual assault and verbal coercion. Women, younger students, those who experienced sexual violence prior, and heavier drinkers had the greatest odds of sexual violence victimization abroad. Conclusions: Findings point to the need for evidence-based programming to reduce sexual violence risk among American college students studying in foreign countries. [ABSTRACT FROM AUTHOR]

Objectives:To identify caregiver profiles of persons with mild to moderate dementia and to investigate differences between identified caregiver profiles, using baseline data of the international prospective cohort study Actifcare. Methods:A latent class analysis was used to discover different caregiver profiles based on disease related characteristics of 453 persons with dementia and their 453 informal caregivers. These profiles were compared with regard to quality of life (CarerQoL score), depressive symptoms (HADS-D score) and perseverance time. Results:A 5-class model was identified, with the best Bayesian Information Criterion value, significant likelihood ratio test (p< 0.001), high entropy score (0.88) and substantive interpretability. The classes could be differentiated on two axes: (i) caregivers' age, relationship with persons with dementia, severity of dementia, and (ii) tendency towards stress and difficulty adapting to stress. Classes showed significant differences with all dependent variables, and were labelled ‘older low strain’, ‘older intermediate strain’, ‘older high strain’, ‘younger low strain’ and ‘younger high strain’. Conclusion:Differences exist between types of caregivers that explain variability in quality of life, depressive symptoms and perseverance time. Our findings may give direction for tailored interventions for caregivers of persons with dementia, which may improve social health and reduce health care costs. [ABSTRACT FROM PUBLISHER]