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9), cigarettes (OR 5.42; 95% CI 2.37, 12.4), and cannabis (OR 8.43; 95% CI 4.40, 16.1) compared to heterosexual individuals. Although the sample size for lesbian/gay participants was small, bisexual (vs. lesbian/gay) participants also had greater odds of reporting prior use of nicotine products and frequent past 30-day cannabis use. A significant sexual identity×gender interaction emerged for lifetime cigarette use, wherein bisexual (vs. heterosexual) identity was only associated with greater odds of use for females (
<.01).
Sexual minority-related disparities in substance use among young adults appear to generalize to e-cigarettes, with bisexual young adults exhibiting especially high profiles of risk.
Sexual minority-related disparities in substance use among young adults appear to generalize to e-cigarettes, with bisexual young adults exhibiting especially high profiles of risk.
New approaches to the study of the binge-watching phenomenon require new technology, leading to the development of a non-intrusive and low-cost analytical research software that facilitates a holistic understanding of binge-watching in an uncontrolled environment remotely (e.g., the home). BWDAT was developed to allow the collection of three types of data users' physiological data gathered from a smartwatch, users' interactions from video-on-demand interfaces, and self-reported data. This tool offers the possibility to generate automatic data analysis reports, facilitating researchers' data analysis tasks.
Two trial studies and a long-term study were used to evaluate the design and the technical implementation of the BWDAT tool. The metrics used were the BWDAT smartwatch's App data coverage of the viewing sessions, and the data's reliability of the viewer's interactions with the Netflix interface, collected by the BWDAT Chrome Extension.
High percentages of data coverage and content coverage were verified in the sessions collecting the smartwatch's data. The reporting system developed proved to be useful in the collection and synchronization of physiological and users' interaction data with Netflix interface, both generated in uncontrolled environments. Furthermore, the BWDAT tool facilitated the analysis of a large amount of nuanced data.
The results obtained confirm the reliability, accuracy, and usability of BWDAT. This tool has the potential to help researchers shed new light on the field of media and audience studies, and in particular on binge-watching.
The results obtained confirm the reliability, accuracy, and usability of BWDAT. This tool has the potential to help researchers shed new light on the field of media and audience studies, and in particular on binge-watching.The association between quality of life (QoL) and social relationships is well established. This paper further analyses whether and how participation in social activities as well as providing and receiving social support, independently, are associated with QoL among the older population in 16 European countries. QoL was measured using the CASP-12 scale. The baseline data came from Wave 6 and the outcome from Wave 7 of the Survey of Health, Ageing and Retirement in Europe (SHARE). The associations of interest were analysed using multivariable linear regression. The effect of possible non-ignorable dropout was tested. Then, doubly robust estimation and sensitivity analyses for unobserved confounding were performed to evaluate the possible causal interpretation of the associations found. Our findings show that participation in at least one of the socially productive activities was positively associated with QoL at two-year follow-up (Average Causal Effect, ACE 0.474; 95%CI 0.361, 0.587). The association was stronger among women, people aged 75+, and those in the Southern European region. Providing social support had a positive association with QoL, but only among people aged 75+ (ACE 0.410; 95%CI 0.031, 0.789). selleck chemical Conversely, receiving social support had a negative association (ACE -0.321; 95%CI -0.448, -0.195) with QoL, especially for men, people aged 75+, and those in Eastern European countries. Sensitivity analyses for unobserved confounders showed that the associations found cannot be attributed to causal effects.
Coronavirus-Disease-2019 (COVID-19) caused by Severe-Acute-Respiratory-Syndrome-Coronavirus-2 (SARS-CoV-2) is rapidly spreading worldwide causing a pandemic. To control the pandemic, the One Health approach (https//www.who.int/news-room/q-a-detail/one-health) is very important. We herein provide a real-world example of efficient COVID-19 control in Anhui Province, China with outbreak originating from imported cases through implementation of a series of measures as part of the One Health approach and describe the stratified cases features.
Since the identification of the first imported COVID-19 case on Jan 22, 2020, Anhui immediately initiated a sequence of systematic and forceful interventions. We detailed the control measures and analyzed the effects as demonstrated by the corresponding temporal changes of overall epidemiology data on confirmed, cured, and hospitalized cases and contacts. An accumulated number of 991 cases were confirmed, with a total number of 29,399 contacts traced. We further retrieveluding sex, age group, exposure history, and phase of outbreak.
Timely and powerful measures as part of the One Health approach (https//www.who.int/news-room/q-a-detail/one-health) effectively and efficiently controlled the COVID-19 outbreak in Anhui, which can be a good real-world example strongly demonstrating the usefulness of such measures in places with outbreaks originating from imported cases. Precise and dynamic prevention and control measures should be implemented and based on features including sex, age group, exposure history, and phase of outbreak.
Antibacterial resistance (ABR) is a major global health security threat, with a disproportionate burden on lower-and middle-income countries (LMICs). It is not understood how 'One Health', where human health is co-dependent on animal health and the environment, might impact the burden of ABR in LMICs. Thailand's 2017 "National Strategic Plan on Antimicrobial Resistance" (NSP-AMR) aims to reduce AMR morbidity by 50% through 20% reductions in human and 30% in animal antibacterial use (ABU). There is a need to understand the implications of such a plan within a One Health perspective.
A model of ABU, gut colonisation with extended-spectrum beta-lactamase (ESBL)-producing bacteria and transmission was calibrated using estimates of the prevalence of ESBL-producing bacteria in Thailand. This model was used to project the reduction in human ABR over 20 years (2020-2040) for each One Health driver, including individual transmission rates between humans, animals and the environment, and to estimate the long-term impact of the NSP-AMR intervention.
Read More: https://www.selleckchem.com/products/gdc-0068.html
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