• Farah Safdar Husain, Dypti Lulla, Timothy Kai Cheng Tay, Jean-Jasmin Ml Lee, Satvinder Singh Dhaliwal, and Seng Bin Ang.
• Department of Family Medicine, KK Women and Children's Hospital, Singapore.
• Ann Acad Med Singap. 2023 Apr 27; 52 (4): 190198190-198.

IntroductionObesity is thought to be a negative predictor of sexual function, but the relationship between body mass index (BMI) and sexual function has been inconsistent. Other factors such as body image and self-esteem may mediate this relationship. This study examined the association of BMI, body image and self-esteem with sexual function in young women.MethodA total of 514 sexually active women aged 21 to 35 years completed an anonymised online questionnaire that used 3 scales to assess body image, self-esteem and female sexual function: Body Image States Scale (BISS), Rosenberg Self-Esteem Scale (RSES) and Female Sexual Function Index (FSFI). Higher scores for BISS, RSES and FSFI indicate more positive body image, higher self-esteem and better sexual function, respectively. Spearman correlation assessed the association among BMI, BISS and RSES scores, and with FSFI scores. Linear and multivariable logistic regression identified risk factors associated with sexual dysfunction (FSFI <26.55).ResultsBISS and RSES scores significantly correlated with FSFI scores (r=0.27 and r=0.32, respectively; both P<0.001), indicating that better body image and self-esteem were associated with better sexual function. Risk factors for sexual dysfunction were lower BISS and RSES scores, being married (odds ratio [OR] 1.52; 95% confidence interval [CI] 1.07-2.15), having 1 child (OR 2.45; 95% CI 1.26-4.77) and having a perceived mental condition (OR 3.02; 95% CI 1.44-6.33). Factors in lack of sexual dysfunction include being of Malay ethnicity (OR 0.38; 95% CI 0.21-0.71) and being overweight (OR 0.46; 95% CI 0.27-0.78).ConclusionWomen with poorer body image and lower self-esteem were more likely to have sexual dysfunction. These perceptions and states did not correlate with being overweight, and were better predictors over BMI to identify the population at-risk.

27 keywords...

hide…