Preventive medicine
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Preventive medicine · Oct 2020
Home smoking and vaping policies among US adults: results from the Population Assessment of Tobacco and Health (PATH) study, wave 3.
We examined the prevalence of home smoking and vaping restrictions among US adults, and compared home policy differences for smoking and vaping among vapers, smokers, and dual users. Secondary data from the Population Assessment of Tobacco and Health (PATH) Study Wave 3 (2015-2016) with 28,148 adults were analyzed using weighted multivariable logistic regression models that account for complex sampling design to compare differences in home policies among non-users, vapers only, smokers only, and dual users. Compared to never-users, current vapers who were ex-smokers and dual users were more likely to allow home vaping (aOR = 11.06, 95% CI: 8.04-15.21; aOR = 6.44, 95% CI: 5.01-8.28) and smoking (aOR = 1.62, 95% CI: 1.19-2.22; aOR = 3.58, 95% CI: 2.88-4.45). ⋯ Vapers reported much lower rates of vape-free home policies relative to both their smoke-free home policies and to vape-free home policies among smokers. Vapers may be using e-cigarettes in hopes of harm reduction, but interpreting "harm reduction" as safe, thus exposing non-users in their homes to second- and thirdhand aerosols. This underscores the need to healthcare providers to extend intervention with vapers to include implementing vape-free home policies.
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Preventive medicine · Oct 2020
Differences in cervical test coverage by age, socioeconomic status, ethnic origin and municipality type - A nationwide register-based study.
An invitational organized cervical cancer screening together with widely spread opportunistic testing has coexisted for decades in Finland. The aim of this study was to examine the coverage of cervical tests by age, socioeconomic status, ethnicity and municipality type within and outside the organized screening program. We had a cohort of women of whom 1,2 million were in the target age range of screening and residing in Finland in 2010-2014. ⋯ Although overall coverage was high, tests within and outside the program seemed to concentrate on women with presumably good access to health services. Tests outside the program were especially common among young women who are at a low risk of invasive cervical cancer. Efforts should be made to reduce excessive opportunistic testing and to increase attendance at the program among hard-to-reach populations.
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Preventive medicine · Oct 2020
ReviewAcute effects of short-term exposure to air pollution while being physically active, the potential for modification: A review of the literature.
The science behind the combined effect of (and possible interaction between) physical activity and air pollution exposure on health endpoints is not well established, despite the fact that independent effects of physical activity and air pollution on health are well known. The objective of this review is to systematically assess the available literature pertaining to exposure to air pollution while being physically active, in order to assess statistical interaction. Articles published during 2000-2020 were identified by searching PubMed, Science Direct, and ProQuest Agricultural & Environmental Science Database for terms encompassing air pollution and exercise/physical activity. ⋯ Even in low levels of air pollution, low-intensity activities (i.e., walking), may intensify the negative impacts of air pollution, particularly among those with pre-existing conditions. However, among healthy adults, the review suggests that exercise is generally beneficial even in high air pollution environments. Particularly, the review indicates that moderate to high-intensity exercise may neutralize any short-term negative effects of air pollution.
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Preventive medicine · Oct 2020
Evaluation of rates of laboratory-confirmed influenza hospitalization in rural and urban census tracts over eight influenza seasons.
The burden of influenza in rural areas is largely unstudied. Rural populations may be vulnerable yet isolated from circulating virus. ⋯ Race, ethnicity, poverty, health insurance coverage, and distance from a hospital accounted for rate differences. Our interpretation is: 1) influenza regularly circulates in urban areas and inconsistently spreads to rural areas, 2) demographic and socioeconomic factors drive morbidity in exposed populations, and 3) public health interventions targeting high-risk urban census tracts may be beneficial.