Background A growing number of men who have sex with men (MSM) utilise Grindr for seeking relationships and immediate/casual sexual encounters. Grindr and other mobile applications can be a valuable source of information on sociological predictors of health. One topic that is under reported is the use of Grindr by MSM with obesity. We described differences in Grindr use between MSM with and without obesity, and to use Grindr information to reveal trends which may serve as potential predictors of health. Methods Data was collected from 3744 Grindr users (mean age [s.d.], 32.3 years [9.1]) from the largest 50 metropolitan centres in the USA between February and May 2018. Users were divided into two cohorts based on BMI: (1) MSM with obesity (BMI>30), n =253; and (2) MSM without obesity, n =3491. Profile characteristics were compared. Results When evaluating potential predictors for obesity, we found that black/African-American and older MSM were significantly more likely to have obesity. Further, we found that obesity among MSM was significantly inversely associated with the population percent lesbian, gay, bisexual, and transgender (LGBT) within a city. Additionally, we found that MSM with obesity were significantly more likely to indicate interest in immediate sexual encounters. Conclusions These results highlight important trends that may serve as predictors of health in urban settings. Furthermore, our results suggest that MSM with obesity may be more likely to engage in risky sexual behaviours. These findings may be useful in informing providers and healthcare officials on when and how to provide outreach to this unique population.
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http://dx.doi.org/10.1071/SH24049 | DOI Listing |
Background: Evaluated values of body mass index (BMI), waist circumeference (WC) and waist-to-hip ratio (WHR) increase the risk of stroke, but the extent to which this is mediated by hypertension, diabetes, lipid status, smoking and alcohol consumption is not fully understood.
Objective: The aim of this research is to examine the influence of modifying and non-modifying factors as well as obesity defined through BMI, WC and WHR on the occurrence of stroke.
Methods: A total of 440 subjects were included in the cohort divided in to two groups.
J Prim Care Community Health
December 2024
Mayo Clinic, Rochester, MN, USA.
Objectives: To identify patient characteristics, health concerns, and barriers to care based on overweight or obesity.
Methods: A 50-question anonymous survey was administered to patients. Data were compared by body mass index (BMI).
Int J Mol Sci
November 2024
Departments of Pharmacology, Frederick P. Whiddon College of Medicine, University of South Alabama, Mobile, AL 36688, USA.
BMC Med Inform Decis Mak
October 2024
Department of Mathematics, Dilla University, Dilla, Ethiopia.
Sci Rep
July 2024
Division of Visceral Surgery, Department of General Surgery, Medical University of Vienna, Vienna, Austria.
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