• Bass Alstrup opublikował 5 miesięcy, 2 tygodnie temu

    The potential benefits of switching with JUUL on smokers are likely to be experienced by a wide range of adult smokers.Objectives Many smokers who start using ENDS engage in dual use of cigarettes and ENDS. This paper examines time trends in dual use after a JUUL Starter Kit purchase, and changes in cigarette consumption among those remaining dual users. Methods In the ADJUSST study, a cohort of adult smokers who purchased a JUUL Starter Kit were followed naturalistically 6 times over 12 months. Trends in dual use and reported complete switching away from cigarettes (ie, no past 30-day smoking), and changes in daily average cigarettes per day from baseline at 6 and 12 months were examined. Results Dual use declined over time as complete switching increased. By 12 months, 43.2% reported dual using, and 51.2% reported switching away from cigarettes. Among dual users, approximately 60% reduced their cigarette consumption substantially (by ≥ 50%); average reductions in cigarette consumption were > 80%. Only a small minority (3%-10%) substantially increased cigarette consumption. Conclusions Dual use of smoking and JUUL declines over time as switching away from smoking increases. This suggests that, for most smokers, dual use is a transitional state leading to switching completely away from cigarettes. Furthermore, dual use is often marked by substantial reductions in cigarette consumption.Objectives In this study, we assessed complete switching away from cigarette smoking among adult smokers who purchased a JUUL Starter Kit (JSK). Methods Adult (age ≥ 21) established smokers (smoked ≥ 100 lifetime cigarettes) who purchased a JSK in 2018 were invited to complete online surveys 1, 2, 3, 6, 9 and 12 months after initial JSK purchase. Point prevalence of switching (no past 30-day smoking) was assessed at each follow-up. Repeated measures logistic regression models evaluated associations of sociodemographic factors, baseline smoking characteristics and time-varying JUUL System („JUUL”) use characteristics and switching across the 12-month period. Results Respondents (N = 17,986) were 55.0% male, 78.3% white, mean age = 32.65 years (SD = 10.81), mean baseline cigarettes/day = 11.10 (SD = 8.16). The proportion self-reporting switching increased over time one-month (27.2%[3718/13,650]), 2-month (36.4%[4926/13,533]), 3-month (41.0%[5434/13,257]), 6-month (46.6%[5411/11,621]), 9-month (49.4%[6017/12,186]), and 12-month (51.2%[6106/11,919]); 33.1% reported switching at both 9-month and 12-month follow-ups. In prospective analyses, smokers with lower cigarette dependence, shorter smoking history, lower cigarette consumption, more frequent JUUL use, greater satisfaction from initial JUUL use, and higher JUUL dependence were significantly more likely to switch. Conclusions Rates of switching with JUUL increased over time. Over 50% of respondents reported complete switching away from cigarettes 12 months following purchase. Greater use of and dependence on JUUL predicted switching.Objectives The Adult JUUL System User Switching and Smoking Trajectories (ADJUSST) study assessed the smoking and JUUL use trajectories of adults who purchased JUUL. In this paper, we describe study methods, characterize the sample, and assesses potential for bias due to loss to follow-up. Methods We entered 55,414 US adults (≥ age 21) who purchased a JUUL Starter Kit for the first time (online or at retail) in 2018 into a naturalistic, longitudinal observational study, irrespective of baseline smoking status. Participants were invited for follow-ups 1, 2, 3, 6, 9, and 12 months later, focused on assessing past-30-day smoking and JUUL use. Analyses assessed potential bias due to non-response. Results Over 90% of participants had a history of smoking; 62.8% were past-30-day smokers; 23.3% were former smokers. Participants’ average age was 30; 75% were white. Most participants (77.6%) completed some follow-ups; 25% completed all follow-ups. Baseline differences among complete responders (N = 13,729), partial responders (N = 29,252), and complete non-responders (N = 12,433) were small. When recontacted, few 12-month non-responders said their non-response was due to smoking; many reported no past-30-day smoking. Conclusions The study may elucidate smoking trajectories of adult JUUL users. The potential for bias due to loss to follow-up in ADJUSST was limited.Objectives In this paper, we estimate the prevalence of electronic nicotine delivery systems (ENDS) and JUUL brand ENDS use among adults in the US, overall and by smoking history. Methods We obtained 2019 cross-sectional online surveys assessing smoking, use of any ENDS, and JUUL specifically, in a national probability sample of 11,833 US adults. Data were analyzed for young adults (YA; aged 18-24) and older adults (OA; aged 25+). Results Past 30-day ENDS prevalence was 8.0% in YA and 4.7% in OA; equivalent JUUL figures were 3.1% and 1.2%. ENDS/JUUL use was more prevalent among current and former smokers than never smokers, where prevalence was ≤ 2% (YA 2.0%/0.9%; OA 0.9%/0.1%). JUUL use was higher among recent ( 98%) ENDS and JUUL users were current or former smokers, which is relevant to assessment of the population impact of these products.This special issue addresses key topics relating to the public health impact of the use of electronic nicotine delivery devices (ENDS), particularly JUUL-brand ENDS. Smokers smoke for nicotine, but are harmed by the byproducts of combustion. ENDS can play a role in tobacco harm reduction offering a noncombustible alternative source of nicotine for adult smokers who would otherwise continue smoking. Papers presented here estimate the prevalence of ENDS and JUUL use among young and older adults, and document the 12-month smoking trajectories of adults who purchased a JUUL Starter Kit. Overall, smoking prevalence was halved, with most smokers switching completely as dual use declined. This held for subpopulations defined by demographics and psychiatric comorbidity. For those who did not switch, most significantly reduced (50%+) their cigarette consumption. Another study reports that dependence declines as smokers switch from smoking to using JUUL. The public health potential of ENDS is undermined by use of ENDS by nonsmokers, especially underage individuals. Some smoking was reported by adult former and never smokers, with little evidence of persistent smoking, and lower risk of smoking among those using JUUL more frequently. Regarding underage use, one paper reports that technology can ensure age-verification at point of sale. Population modeling integrating impacts on diverse populations indicates that availability of ENDS is expected to avert millions of premature deaths in the US. We believe these papers make a substantial contribution to the field of tobacco science and smoking control.

    It has been recognised for a considerable time-period, that viral respiratory infections predispose patients to bacterial infections, and that these co-infections have a worse outcome than either infection on its own. However, it is still unclear what exact roles co-infections and/or superinfections play in patients with COVID-19 infection.

    This was an extensive review of the current literature regarding co-infections and superinfections in patients with SARS-CoV-2 infection. The definitions used were those of the Centers for Disease Control and Prevention (US), which defines coinfection as one occurring concurrently with the initial infection, while superinfections are those infections that follow on a previous infection, especially when caused by microorganisms that are resistant, or have become resistant, to the antibiotics used earlier. Some researchers have envisioned three potential scenarios of bacterial/SARS-CoV-2 co-infection; namely, secondary SARS-CoV-2 infection following bacterial infection obes varying rates of co-infections and/or superinfections in patients with COVID-19 infections, although often a clear distinction between the two is not clear in the literature. When they occur, these infections appear to be associated with both severity of COVID-19 as well as poorer outcomes.

    The current review describes varying rates of co-infections and/or superinfections in patients with COVID-19 infections, although often a clear distinction between the two is not clear in the literature. When they occur, these infections appear to be associated with both severity of COVID-19 as well as poorer outcomes.

    Antipsychotics are well-known to cause potentially serious and life-threatening adverse drug reactions (ADRs) that have been reported to be also one of the major reasons for non-adherence. In Eritrea, shortage of psychiatrists and physicians, inadequacy of laboratory setups and unavailability of second-generation antipsychotics in the national list of medicines would seem to amplify the problem. This study’s objective is to determine the impact of adverse effects of first-generation antipsychotics on treatment adherence in outpatients with schizophrenia at Saint Mary Neuro-Psychiatric National Referral Hospital.

    A cross-sectional study design was employed. All eligible adult patients with diagnosed schizophrenia (n = 242) who visited the hospital during the study period were enrolled. Data on ADRs, adherence and other variables were collected from patients using a self-administered questionnaire, interview and through medical cards review. The collected variables were analyzed using SPSS 22.0 with descriprence was found to be substantial which was attributed to total ADR score, extrapyramidal, hormonal, psychic, autonomic and miscellaneous categories of reactions of the LUNSERS. To improve treatment adherence, early detection and management of adverse effects and inclusion of second-generation antipsychotics are recommended.

    High blood pressure is a major risk factor for cardiovascular disease. Visit-to-visit blood pressure variability (BPV) has recently been shown to predict cardiovascular outcomes. We investigated the predictive value of BPV for major adverse cardiovascular events (MACE) among patients with coronary artery disease (CAD), with and without type 2 diabetes mellitus (T2DM).

    Patients with stable CAD were enrolled and monitored for new MACE. Visit-to-visit BPV was defined as the coefficient of variation (CV) of systolic and diastolic BP across clinic visits. Multivariable logistic regression analysis was performed to evaluate the association of BPV with MACE. Area under the receiver operating characteristic curve (AUC) was used to assess its predictive ability.

    Among 1140 Chinese patients with stable CAD, 192 (17%) experienced a new MACE. In multivariable analyses, the risk of MACE was significantly associated with CV of systolic BP (odds ratio [OR] for highest versus lowest quartile, 3.30; 95% CI 1.97-5.54), at-to-visit variability of systolic BP and of diastolic BP was an independent predictor of new MACE and provided incremental prognostic value beyond mean BP and conventional risk factors in patients with stable CAD. The association of BPV in CAD patients without T2DM with subsequent risk for MACE was stronger than in those with T2DM.

    In Japan, 'Journey of the Brave’, a cognitive behavioural therapy (CBT)-based anxiety preventive education programme, was previously developed and its effectiveness examined in two small-scale controlled trials. These studies had some limitations, including a small number of participants and not having regular classroom teachers as programme facilitators. Therefore, we conducted a large-scale controlled trial, with teachers as programme implementers.

    Twenty-seven elementary schools participated 1622 and 1123 children were allocated to the intervention and control groups, respectively. The intervention group received a programme comprising ten 45-min sessions, while the control group underwent the regular school curriculum. Anxiety symptoms among participants were assessed using the Spence Children’s Anxiety Scale (SCAS) at three stages (pre-intervention, post-intervention, and follow-up).

    Following primary analysis, estimated mean changes in SCAS from baseline to follow-up were - 4.91 (95% CI - 5.91, - 3.

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