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1.
Subst Use Misuse ; : 1-7, 2024 May 29.
Article in English | MEDLINE | ID: mdl-38812099

ABSTRACT

BACKGROUND: Anabolic androgenic steroids (AAS) are traditionally used for the treatment/control of various diseases; however, they are being used for non-therapeutic and indiscriminate purposes to enhance sports performance and physical appearance. This study aimed to assess the prevalence and associated factors of AAS use among professional CrossFit® competitors. METHODS: We conducted an observational cross-sectional survey in which an anonymous questionnaire was applied to professional CrossFit® athletes. RESULTS: The prevalence of AAS usage was 33.3%. Most users were male (74.2%), aged between 30 and 39 years (51.6%), with completed higher education (83.9%), and had been training for more than 5 years (77.4%); the primary motivation for AAS use was performance enhancement (77.4%). Individuals who were older (p < 0.05) and more experienced in competitions (p < 0.01) are more likely to use AAS. Testosterone was the most employed AAS (71.0%); CrossFit® athletes typically used an average of 2 different AAS. The majority of users had notably sought advice from a physician (74.2%), and AAS were acquired from either drugstores (80.6%) or through illicit channels (29.0%). Moreover, 61.3% of AAS users reported experiencing adverse effects. CONCLUSIONS: Our results demonstrated a higher prevalence of AAS users among professional competitors in CrossFit® compared to the general population; older age and greater experience in official competitions were decisive factors for a greater inclination toward AAS use. A significant percentage of athletes seek drugs through illegal channels. Despite the majority of users experiencing adverse effects, athletes report satisfaction with use, believing that the benefits still outweigh the drawbacks.

3.
J Urban Health ; 98(4): 579-587, 2021 08.
Article in English | MEDLINE | ID: mdl-31898200

ABSTRACT

We sought to find a method that improves HIV estimates obtained through time-location sampling (TLS) used to recruit most-at-risk populations (MARPs). The calibration on residuals (CARES) method attributes weights to TLS sampled individuals depending on the percentile to which their logistic regression residues belong. Using a real country database, provided by EMIS-2010, with 9591 men who have sex with men (MSM) and an HIV prevalence of 12.1%, we simulated three populations (termed "pseudo-populations") with different levels of HIV. From each pseudo-population, 1000 TLS samples were drawn, and the HIV prevalence estimated by the TLS method and by the CARES method were recorded and compared with the HIV prevalence of the 9591 men. Results showed that the CARES method improves estimates given by the TLS method by getting closer to the real HIV prevalence.


Subject(s)
HIV Infections , Sexual and Gender Minorities , HIV Infections/epidemiology , Homosexuality, Male , Humans , Male , Prevalence , Surveys and Questionnaires
4.
Food Nutr Res ; 60: 29953, 2016.
Article in English | MEDLINE | ID: mdl-26969586

ABSTRACT

BACKGROUND: Coriolus versicolor (CV) is a common mushroom with antitumor, anti-inflammatory, antioxidant, antiviral, antibacterial, and immunomodulatory properties. The existence of these properties has been extensively proven mainly using CV extract; research on the biomass form is scarce. OBJECTIVE: The aim of this study was to investigate the safety of the CV biomass form, as it is commonly used as a food supplement. DESIGN: CV biomass powder was dissolved in distilled water and administered daily (2.5, 5.0, and 7.5 g/kg live weight) in single doses by gavage to both female and male Charles River albino rats. RESULTS: No adverse or lethal effects were observed as a consequence of the daily administration of CV biomass. In addition, compared with the control group, no abnormal findings were observed at necropsy and histopathological examination. CONCLUSIONS: A safe profile of CV biomass for human consumption can be inferred from the absence of any remarkable adverse effects in rats.

5.
Syst Rev ; 4: 141, 2015 Oct 30.
Article in English | MEDLINE | ID: mdl-26518345

ABSTRACT

BACKGROUND: In public health, hard-to-reach populations are often recruited by non-probabilistic sampling methods that produce biased results. In order to overcome this, several sampling methods have been improved and developed in the last years. The aim of this systematic review was to identify all current methods used to survey most-at-risk populations of men who have sex with men and sex workers. The review also aimed to assess if there were any relations between the study populations and the sampling methods used to recruit them. Lastly, we wanted to assess if the number of publications originated in middle and low human development (MLHD) countries had been increasing in the last years. METHODS: A systematic review was conducted using electronic databases and a total of 268 published studies were included in the analysis. RESULTS: In this review, 11 recruitment methods were identified. Semi-probabilistic methods were used most commonly to survey men who have sex with men, and the use of the Internet was the method that gathered more respondents. We found that female sex workers were more frequently recruited through non-probabilistic methods than men who have sex with men (odds = 2.2; p < 0.05; confidence interval (CI) [1.1-4.2]). In the last 6 years, the number of studies based in middle and low human development countries increased more than the number of studies based in very high and high human development countries (odds = 2.5; p < 0.05; CI [1.3-4.9]). CONCLUSIONS: This systematic literature review identified 11 methods used to sample men who have sex with men and female sex workers. There is an association between the type of sampling method and the population being studied. The number of studies based in middle and low human development countries has increased in the last 6 years of this study.


Subject(s)
Developing Countries/statistics & numerical data , Homosexuality, Male/statistics & numerical data , Patient Selection , Periodicals as Topic/statistics & numerical data , Sex Workers/statistics & numerical data , Bibliometrics , Biomedical Research/statistics & numerical data , Female , Humans , Internet , Male , Models, Statistical , Selection Bias
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