880 resultados para Marihuana Smoking


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The decrease with age of the adrenal-secreted dehydroepiandrosterone sulfate (DHEAS) in serum has suggested that it may be causally related to longevity. For the PAQUID [People (Personnes) Aged (Agées) About What (Quid, in Latin)] cohort of elderly subjects, we have previously reported higher DHEAS in men than in women, a decrease with age and, among men, a negative correlation between the DHEAS level and mortality at 2 and 4 years. Here, with an 8-year followup in 290 subjects, we show a global decrease of 2.3% per year for men and 3.9% per year for women. However, in approximately 30% of cases, there was an increase of DHEAS. We observed no relationship between the evolution of DHEAS level and functional, psychological, and mental status, possibly because of selection by death. In women, no association was found between mortality and DHEAS level. In men, the relative risk (RR) of death was higher for the lowest levels of DHEAS (RR = 1.9, P = 0.007), with RR = 6.5, P = 0.003 for those under 70 years old, a result indicating heterogeneity of the population. There was an effect of subjective health on mortality that disappeared after adjustment of DHEAS levels, suggesting its relation with these DHEAS levels. Death RR was much higher in smokers with a low DHEAS level than in nonsmokers with high DHEAS (RR = 6.7, P = 0.001). We submit that the involvement of DHEAS is possibly different according to gender, that association between low DHEAS level and mortality only for men under 70 years old possibly reflects heterogeneity of the population, and that DHEAS level is a reliable predictor of death in male smokers.

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Many studies indicate that smoking is one of risk factors influencing the accumulation of visceral fat (VFA). The mechanism by which smoking contributes to the accumulation of visceral fat is not yet fully understood, but it is assumed that smoking increases the level of plasma cortisol, causes imbalance between male and female sex hormones in women, and decreases testosterone levels in men (Chiolero et al., 2008). The objection of this study was to evaluate the effect of smoking on the accumulation of VFA in the population of the Czech Republic. The research included 1,412 individuals of both genders divided into categories of smokers vs nonsmokers and physically active vs. physically inactive. VFA was measured by the device InBody 720 and information about physical activity and smoking was collected via a questionnaire. We supposed that smokers would have a higher percentage of VFA than non-smokers. The results showed that smokers had a higher amount of VFA, but the difference was not statistically significant. In contrast, statistically significant differences were found in the waist-to-hip ratio (WHR) and total % body fat. Physically active individuals had a much more favourable results than physically inactive individuals. Remarkably, the amount of VFA, WHR and % body fat tended to be smaller in smoking men than in non-smoking men, but higher in smoking women than in non-smoking women.

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Introduction: Self-help computer-based programs are easily accessible and cost-effective interventions with a great recruitment potential. However, each program is different and results of meta-analyses may not apply to each new program; therefore, evaluations of new programs are warranted. The aim of this study was to assess the marginal efficacy of a computer-based, individually tailored program (the Coach) over and above the use of a comprehensive Internet smoking cessation website. Methods: A two-group randomized controlled trial was conducted. The control group only accessed the website, whereas the intervention group received the Coach in addition. Follow-up was conducted by e-mail after three and six months (self-administrated questionnaires). Of 1120 participants, 579 (51.7%) responded after three months and 436 (38.9%) after six months. The primary outcome was self-reported smoking abstinence over four weeks. Results: Counting dropouts as smokers, there were no statistically significant differences between intervention and control groups in smoking cessation rates after three months (20.2% vs. 17.5%, p¼0.25, odds ratio (OR)¼1.20) and six months (17% vs. 15.5%, p¼0.52, OR¼1.12). Excluding dropouts from the analysis, there were statistically significant differences after three months (42% vs. 31.6%, p¼0.01, OR¼1.57), but not after six months (46.1% vs. 37.8%, p¼0.081, OR¼1.41). The program also significantly increased motivation to quit after three months and self-efficacy after three and six months. Discussion: An individually tailored program delivered via the Internet and by e-mail in addition to a smoking cessation website did not significantly increase smoking cessation rates, but it increased motivation to quit and self-efficacy.

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"Jennifer Jinot and Steven Bayard were the scienfitic editors ... Major portions of this revised report were prepared by ICF Incorporated ... under EPA contract no. 68-00-0102"--P. xv.