Register      Login
Sexual Health Sexual Health Society
Publishing on sexual health from the widest perspective
RESEARCH ARTICLE

Obesity and sexual health trends among a large, national sample of men who have sex with men on Grindr in the USA

Michael Zaliznyak https://orcid.org/0000-0001-7242-2307 A , Manuel Gonzales B and Thomas W. Gaither C *
+ Author Affiliations
- Author Affiliations

A Department of Urology, University of California San Francisco, San Francisco, CA, USA.

B Department of Pediatrics, University of California San Francisco, San Francisco, CA, USA.

C Department of Urology, David Geffen School of Medicine, Los Angeles, CA, USA.

* Correspondence to: tgaither@mednet.ucla.edu

Handling Editor: Phillip Keen

Sexual Health 21, SH24049 https://doi.org/10.1071/SH24049
Submitted: 1 March 2024  Accepted: 25 June 2024  Published: 16 July 2024

© 2024 The Author(s) (or their employer(s)). Published by CSIRO Publishing

Abstract

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.

Keywords: BMI, Grindr, Hookup app, LGBT health, men’s health, MSM, obesity, race/ethnicity, sexual health.

References

Malik VS, Willet WC, Hu FB. Nearly a decade on – trends, risk factors and policy implications in global obesity. Nat Rev Endocrinol 2020; 16(11): 615-6.
| Crossref | Google Scholar | PubMed |

Fruh SM. Obesity: risk factors, complications, and strategies for sustainable long-term weight management. J Am Assoc Nurse Pract 2017; 29(S1): S3-S14.
| Crossref | Google Scholar | PubMed |

Bhaskaran K, Douglas I, Forbes H, et al. Body-mass index and risk of 22 specific cancers: a population-based cohort study of 5.24 million UK adults. Lancet 2014; 384(9945): 755-65.
| Crossref | Google Scholar | PubMed |

Rajan TM, Menon V. Psychiatric disorders and obesity: a review of association studies. J Postgrad Med 2017; 63(3): 182-90.
| Crossref | Google Scholar | PubMed |

Sarwer DB, Polonsky HM. The psychosocial burden of obesity. Endocrinol Metab Clin North Am 2016; 45(3): 677-88.
| Crossref | Google Scholar | PubMed |

Morrison MA, Morrison TG, Sager C-L. Does body satisfaction differ between gay men and lesbian women and heterosexual men and women? A meta-analytic review. Body Image 2004; 1(2): 127-38.
| Crossref | Google Scholar | PubMed |

Plöderl M, Tremblay P. Mental health of sexual minorities. A systematic review. Int Rev Psychiatry 2015; 27(5): 367-85.
| Crossref | Google Scholar | PubMed |

Moskowitz DA, Seal DW. Revisiting obesity and condom use in men who have sex with men. Arch Sex Behav 2010; 39(3): 761-5.
| Crossref | Google Scholar | PubMed |

Blashill AJ, Mayer KH, Crane HM, et al. Body mass index, depression, and condom use among HIV-infected men who have sex with men: a longitudinal moderation analysis. Arch Sex Behav 2014; 43(4): 729-34.
| Crossref | Google Scholar | PubMed |

10  Nyitray AG, Peng F, Day RS, et al. The association between body mass index and anal canal human papillomavirus prevalence and persistence: the HIM study. Hum Vaccin Immunother 2019; 15(7-8): 1911-9.
| Crossref | Google Scholar | PubMed |

11  Aral SO, Fenton KA, Holmes KK. Sexually transmitted diseases in the USA: temporal trends. Sex Transm Infect 2007; 83(4): 257-66.
| Crossref | Google Scholar | PubMed |

12  Chow EPF, Cornelisse VJ, Read TRH, et al. Risk practices in the era of smartphone apps for meeting partners: a cross-sectional study among men who have sex with men in Melbourne, Australia. AIDS Patient Care STDS 2016; 30(4): 151-4.
| Crossref | Google Scholar | PubMed |

13  Badal HJ, Stryker JE, DeLuca N, et al. Swipe right: dating website and app use among men who have sex with men. AIDS Behav 2018; 22(4): 1265-72.
| Crossref | Google Scholar | PubMed |

14  Burrell ER, Pines HA, Robbie E, et al. Use of the location-based social networking application GRINDR as a recruitment tool in rectal microbicide development research. AIDS Behav 2012; 16(7): 1816-20.
| Crossref | Google Scholar | PubMed |

15  Beymer MR, Weiss RE, Bolan RK, et al. Sex on demand: geosocial networking phone apps and risk of sexually transmitted infections among a cross-sectional sample of men who have sex with men in Los Angeles county. Sex Transm Infect 2014; 90(7): 567-72.
| Crossref | Google Scholar | PubMed |

16  Xu J, Yu H, Tang W, et al. The effect of using geosocial networking apps on the HIV incidence rate among men who have sex with men: eighteen-month prospective cohort study in Shenyang, China. J Med Internet Res 2018; 20(12): e11303.
| Crossref | Google Scholar | PubMed |

17  Filice E, Raffoul A, Meyer SB, et al. The influence of Grindr, a geosocial networking application, on body image in gay, bisexual and other men who have sex with men: an exploratory study. Body Image 2019; 31: 59-70.
| Crossref | Google Scholar | PubMed |

18  Bineau L, Lambert D, Truszczynski N, et al. Dating app use among rural men who have sex with men and its relationship to HIV prevention and risk behaviors: a mixed-methods analysis. Rural Remote Health 2021; 21(2): 6556.
| Google Scholar | PubMed |

19  Chu BA, Castellanos ER, Gonzales MM, et al. Social determinants of self-reported pre-exposure prophylaxis use among a national sample of US men who have sex with men. Sex Transm Infect 2020; 96(5): 368-74.
| Crossref | Google Scholar | PubMed |

20  Newport F, Gates GJ. San Francisco metro area ranks highest in LGBT percentage. UCLA: The Williams Institute; 2015.

21  Janssen KJM, Donders ART, Harrell FE, Jr., et al. Missing covariate data in medical research: to impute is better than to ignore. J Clin Epidemiol 2010; 63(7): 721-7.
| Crossref | Google Scholar | PubMed |

22  Meyer IH. Prejudice, social stress, and mental health in lesbian, gay, and bisexual populations: conceptual issues and research evidence. Psychol Bull 2003; 129(5): 674-97.
| Crossref | Google Scholar | PubMed |

23  Kraft R, Herndon DN, Williams FN, et al. The effect of obesity on adverse outcomes and metabolism in pediatric burn patients. Int J Obes 2012; 36(4): 485-90.
| Crossref | Google Scholar | PubMed |

24  Clay S. Cataloguing bodies: tribes on Grindr. Bachelor’s thesis, University of Queensland; 2016.

25  Moskowitz DA, Turrubiates J, Lozano H, et al. Physical, behavioral, and psychological traits of gay men identifying as bears. Arch Sex Behav 2013; 42(5): 775-84.
| Crossref | Google Scholar | PubMed |

26  Quidley-Rodriguez N, De Santis JP. A literature review of health risks in the bear community, a gay subculture. Am J Mens Health 2017; 11(6): 1673-9.
| Crossref | Google Scholar | PubMed |

27  Azagba S, Shan L, Latham K. Overweight and obesity among sexual minority adults in the United States. Int J Environ Res Public Health 2019; 16(10): 1828.
| Crossref | Google Scholar |

28  Semlyen J, Curtis TJ, Varney J. Sexual orientation identity in relation to unhealthy body mass index: individual participant data meta-analysis of 93 429 individuals from 12 UK health surveys. J Public Health 2020; 42(1): 98-106.
| Crossref | Google Scholar | PubMed |

29  Deputy NP, Boehmer U. Determinants of body weight among men of different sexual orientation. Prev Med 2010; 51(2): 129-31.
| Crossref | Google Scholar | PubMed |

30  Siever MD. Sexual orientation and gender as factors in socioculturally acquired vulnerability to body dissatisfaction and eating disorders. J Consult Clin Psychol 1994; 62(2): 252-60.
| Crossref | Google Scholar | PubMed |

31  Puhl RM, Himmelstein MS, Pearl RL, et al. Weight stigma among sexual minority adults: findings from a matched sample of adults engaged in weight management. Obesity 2019; 27(11): 1906-15.
| Crossref | Google Scholar | PubMed |

32  Jura M, Kozak LP. Obesity and related consequences to ageing. Age 2016; 38(1): 23.
| Crossref | Google Scholar | PubMed |

33  Lincoln KD, Abdou CM, Lloyd D. Race and socioeconomic differences in obesity and depression among Black and non-Hispanic White Americans. J Health Care Poor Underserved 2014; 25(1): 257-75.
| Crossref | Google Scholar | PubMed |

34  Mezuk B, Rafferty JA, Kershaw KN, et al. Reconsidering the role of social disadvantage in physical and mental health: stressful life events, health behaviors, race, and depression. Am J Epidemiol 2010; 172(11): 1238-49.
| Crossref | Google Scholar | PubMed |