Preventive medicine
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Preventive medicine · Mar 2020
ReviewPredictive value of traditional risk factors for cardiovascular disease in older people: A systematic review.
With increasing age, associations between traditional risk factors (TRFs) and cardiovascular disease (CVD) shift. It is unknown which mid-life risk factors remain relevant predictors for CVD in older people. We systematically searched PubMed and EMBASE on August 16th 2019 for studies assessing predictive ability of >1 of fourteen TRFs for fatal and non-fatal CVD, in the general population aged 60+. ⋯ SBP, HDL cholesterol and smoking may also have predictive value. Other blood pressure and cholesterol related variables, BMI, and LVH seem of very limited or no additional value. Without competing risk analysis, predictors are overestimated.
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Preventive medicine · Mar 2020
Randomized Controlled TrialEffectiveness of a stepwise cardiometabolic disease prevention program: Results of a randomized controlled trial in primary care.
Effective preventive strategies for cardiometabolic disease (CMD) are needed. We aim to establish the effectiveness of a stepwise CMD risk assessment followed by individualized treatment if indicated compared to care as usual. We conducted a RCT between 2014 and 2017. ⋯ A significant drop in systolic blood pressure and cholesterol levels was found after one year of treatment. Modelling of these results should confirm the effect on long term endpoints. Trial registration: Dutch trial Register number NTR4277.
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Preventive medicine · Mar 2020
A longitudinal study on the relationship between screen time and adolescent alcohol use: The mediating role of social norms.
It has been proposed that increased screen time contributes to increasing rates of adolescents abstaining from alcohol use. We argue that this proposition depends on the extent to which a type of screen time promotes social norms. We examined whether social norms mediated the association between alcohol use and i) social media, ii) television, and iii) video gaming. ⋯ Alcohol-related social norms were shown to mediate the association between social media use, both at a correlational and longitudinal level, and the association between alcohol use and television use and alcohol use, at a longitudinal level, which may imply that these promote positive social norms towards alcohol use, subsequently increasing adolescents' drinking behaviour.
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Cannabis has been legalized, decriminalized, or medicalized in over half the U. S. states. With restrictions on cannabis research, accepted standards to guide clinical practice are lacking. ⋯ Provider responses coded as negative sentiment received more provider "Agrees" (mean rank = 280) than those coded as positive (mean rank = 215), beta coefficient = 0.33; 95% CI: 0.05, 0.62; p = .02. Cannabis use is a health topic of public interest. Variability in provider responses reflects the need for more research and consensus building to inform evidence-based clinical guidelines for cannabis use in medicine.
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Preventive medicine · Mar 2020
Smokefree home rules and cigarette smoking intensity among smokers in different stages of smoking cessation from 20 low-and-middle income countries.
Smokefree environment created by smokefree policies is associated with smoking reduction; however, there is paucity of literature on the relationship between smokefree home rules and smoking intensity in low-and-middle income countries (LMICs), and how smokefree policy affects smoking behavior of smokers at different stages of smoking cessation. This study examined the relationship between smokefree home rules and average number of cigarettes smoked per day (CPD) among daily smokers at different stages of the transtheoretical model (TTM) of change. Data from 18,718 current daily cigarette smokers from the Global Adult Tobacco Survey (GATS) conducted from 2011 to 2017 in 20 LMICs were analyzed. ⋯ The average number of CPD was 12.3, 12.0, and 10.6 among participants living in homes where smoking was allowed, partial smokefree homes, and complete smokefree homes, respectively. Compared to living in homes where smoking was allowed, living in complete smokefree homes were associated with 22.5% (95%CI = 18.4%-26.5%), 17.9% (95%CI = 8.4%-27.3%), and 29.3% (95% CI = 17.1%-41.5%) fewer CPD among participants in precontemplation, contemplation, and preparation stages, respectively. These findings suggest that complete smokefree home policy will benefit smokers in LMICs irrespective of their intention to quit smoking in addition to protecting non-smokers from secondhand smoke exposure.