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Promoting positive identity and seeking early support for gender, sex and sexuality (GSS) issues among youth is vital. Understanding and addressing factors associated withGSS among them is critical. We assessed four-year case records (January 2017–December 2020) of all first visit youth mental health promotion clinic (YMHPC) clients (15–35 years) for factors associated with GSS issues in Karnataka. Overall, prevalence of GSS issues was 1.8% (189/10,340). Increased risk of GSS issues was observed among clients reporting suicidality (AOR = 4.27, 95% CI = 2.70–6.74) and relationship issues (AOR = 3.63, 95% CI = 2.36–5.57), followed by issues of safety (AOR = 2.56, 95% CI = 1.72–3.81), personality (AOR = 2.48, 95% CI = 1.60–3.85), health and lifestyle (AOR = 2.27, 95% CI = 1.77–4.19), smokers (AOR = 2.30, 95% CI = 1.24–4.27), and those who felt depressed (AOR = 2.10, 95% CI = 1.43–3.09) and worthless (AOR = 2.08, 95% CI = 1.28–3.39). Clients aged 21–25 years (AOR = 1.80,95% CI = 1.27–2.54), male (AOR = 1.72, 95% CI = 1.20–2.46) and who had been married (AOR = 2.32, 95% CI = 1.51–3.57) had a higher risk of GSS issues than those aged 15–20 years and other counterparts, respectively. Clients who drank alcohol (AOR = 0.49, 95% CI = 0.30–0.81) had reduced risk of GSS issues. The findings re-iterate the importance of early recognition of factors (essential precursors) of GSS issues among youth. The study highlights the importance of promoting awareness and improving primordial prevention of possible GSS issues in later life. This study has important implications on youth mental health promotion programs, especially in countries like India.

Background: Youth are considered to be most vulnerable to health and lifestyle issues (HLS) in India. The current study aims to investigate the factors that contribute to health and lifestyle issues among youth attending mental health promotion clinics (YMHP) in Karnataka. Method: Three-year first-visit data from beneficiaries (aged 15–35 years) attending YMHP clinics in Karnataka between 2017 and 2020 were analyzed. Multivariable logistic regression analysis included beneficiaries reporting any HLS issue as the outcome and a host of 57 hypothesized variables as exposures. Results: Overall, 2,615 (25%) beneficiaries reported HLS issues. Years of schooling (AOR 5–7 years = 0.89; 95% confidence interval [CI] =0.60–1.31), (AOR 8–10 years = 0.65; 95% CI = 0.46–0.91), (AOR >10 years = 0.67; 95% CI = 0.49–0.93)], unemployed youth (AOR = 0.52; 95% CI = 0.45–0.61) business and salaried workers (AOR = 1.69; 95% CI = 1.33–2.13), and other occupations (AOR = 2.11; 95% CI = 1.73–2.56), junk food consumption (AOR = 0.76;95% CI = 0.68–0.84), having issues related to relationships with parents (AOR = 3.01; 95% CI = 2.47–3.68) and intergenerational issues (AOR = 1.71; 95% CI = 1.19–2.45), self-development issues (AOR low-self-awareness = 1.57; 95% CI = 1.33–1.85), (AOR low-self-esteem = 1.29; 95% CI = 1.062–1.57), (AOR emotional issues = 1.57; 95% CI = 1.31–1.89), education and academics (AOR = 1.23; 95% CI = 1.09–1.39), safety issues (AOR = 4.11; 95% CI = 3.07–5.50), gender sex and sexuality issues (AOR = 2.44; 95% CI = 1.43–4.15), suicidal ideation (AOR = 1.91; 95% CI = 1.44–2.54), substance use (AOR tobacco chewing = 1.45; 95% CI = 1.09–1.93), (AOR tobacco-smoking = 1.66; 95% CI = 1.18–2.32), (AOR smoking = 4.94; 95% CI = 3.52–6.93) and experiencing emotions (AOR feel anxious = 1.63; 95% CI = 1.41–1.88), (AOR forgetfulness = 1.50; 95% CI = 1.41–1.98), (AOR difficulty in concentration = 1.37; 95% CI = 1.035–1.81), (AOR anger = 1.61; 95% CI = 1.25–2.07), (AOR feel worthless = 2.21; 95% CI = 1.71–2.86) were associated with HLS issues among beneficiaries. Conclusion: This analysis addresses an important but neglected component of HLS issues among youth highlighting the importance of early intervention among youth to prevent the development of diseases later in life. The study has important implications for youth health promotion in India and countries such as India. Health and Lifestyle Issues Among Youth: A record analysis of contributing factors among beneficiaries attending Youth Mental Health promotion clinics (Yuva Spandana Kendras) in Karnataka, India. [ABSTRACT FROM AUTHOR]