Purpose: Tobacco use is currently one of the most critical public health issues affecting sexual and gender minority individuals. The primary objective of this research was to provide the first population-based epidemiological profile of tobacco use in the LGBT community in Puerto Rico. The secondary objective was to identify differences between LGBT smokers (LGBT-S) versus LGBT nonsmokers (LGBT-NS).
Methods: We conducted a secondary data analysis of the 2011 Puerto Rico Behavioral Risk Surveillance System database through a cross-sectional study methodology. A univariate analysis was performed to obtain an epidemiological profile of the LGBT-S. Through a bivariate analysis, we compared LGBT-S with LGBT-NS to identify differences.
Results: A higher prevalence of tobacco use was found in the Puerto Rico LGBT community (20.8%) compared with the Puerto Rico general population (14.8%). The groups with higher prevalence were females (23.2%), bisexuals (23.9%), people aged 25-34 years (52.0%), people with some years in university or technical school (23.9%), people who reported being out of work for more than 1 year (45.5%), and people who reported an annual income of $50,000 or more (12.5%). LGBT-S were more likely to report a history of cancer, arthritis, kidney disease, overweight or obesity, depressive disorder, and anxiety disorder than LGBT-NS.
Conclusion: Health surveys should incorporate sexual and gender identity questions in order to learn more about the health status of the LGBT community, especially given the disproportionate use of tobacco. The data may be useful to implement health promotion strategies related to tobacco control in this community.
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http://dx.doi.org/10.1089/lgbt.2013.0011 | DOI Listing |
Sci China Life Sci
January 2025
CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, 650201, China.
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Department of Basic Sciences, Ponce Research Institute, Ponce Health Sciences University, Ponce, PR 00716, USA.
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Zinpro Corporation, Eden-Prairie, MN 55344, USA.
Standards for data generation and collection are important for integration and for achieving data-driven actionable insights in dairy farming. Data integration and analysis are critical for advancing the dairy industry, enabling better decision-making, and improving operational efficiencies. This commentary paper discusses the challenges of and proposes pathways for standardizing data generation and collection based on insights from a multidisciplinary group of stakeholders.
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Ponce Research Institute, Ponce Health Sciences University, Ponce, PR 00716, USA.
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