Gender Identities and Orientations: Demographic Change and the Health Effects They Experience Introduction LGBT (lesbian, gay, bisexual, and transgender) refers to a diverse group of people who have different sexual orientations and gender identities. In population structure, LGBT individuals are considered a minority group because they represent a smaller percentage of the population, estimated at between 2% and 10% in the world compared to heterosexual individuals. Our objective in this paper is to highlight the demographic shifts associated with the increasing visibility and recognition of the LGBT community, while also examining the broader implications of these shifts on public health outcomes. Methods This brief communication review was based on a literature search conducted from four databases: PubMed, Scopus, Google Scholar and Web of Science. All articles published from 2012 to 2024 were accounted for by using keywords such as “LGBT”, “gay”, “transgender”, “bisexual” “population changes”, “population dynamic”, “population shift”, “demographic shift”, “demographic changes”. Results The extracted evidence from the literature was then formulated into 2 main focus areas: Population Dynamics Implications and Public Health Impact. Conclusions The health disparities faced by the LGBT community stem from stigma and discrimination, impacting their overall well-being. As the LGBT population grows, it will affect population dynamics by reducing growth rates, increasing migration to more inclusive countries, and raising mortality rates from related diseases. Addressing these challenges requires improved access to healthcare, including HIV and cancer screenings, gender-affirming therapy, and PrEP.

Introduction: Physical inactivity has been identified as the fourth leading risk factor for worldwide mortality with major implications towards general health. Monitoring the level of physical inactivity may reduce the burden of non-communicable diseases (NCDs) and their risk factors. This study aims to determine the prevalence of physical inactivity and its associated factors among adults aged 18 years and above in Malaysia. Methodology: Data was obtained from the National Health and Morbidity Survey (NHMS) 2019. It was a cross-sectional, population-based survey which employed two- stage stratified random sampling design. A total of 10,356 out of 10,472 respondents were interviewed using a short version of International Physical Activity Questionnaire (IPAQ). Results: Overall, the prevalence of physical inactivity among adults aged 18 years and above in Malaysia was 24.6% (95% CI: 23.2, 26.1). Results from multivariable logistic model showed that Chinese ethnicity (aOR 1.32; 95% CI: 1.04, 1.67), urban dwellers (aOR 1.30; 95% CI: 1.07, 1.57), those who were single (including widow, widower and divorcee) (aOR 1.36; 95% CI: 1.14, 1.61), students (aOR 2.10; 95% CI: 1.30, 3.40), higher household income earners (aOR 1.34; 95% CI: 1.07, 1.68) and those with hypercholesterolaemia (aOR 1.25; 95% CI: 1.03, 1.51) were significantly more likely to be physically inactive. Conclusion Specific and appropriate intervention towards targeted group is in crucial need to increase the level of physical activity and to promote an active living towards an active and healthy Malaysia.

Introduction: Many mental health disorders have onset during adolescence. To date, the data on the correlates of anxiety is still lacking. Therefore, this study is crucial to determine the factors associated with anxiety among school-going adolescents in Malaysia. Methodology: This study was based on 26,892 school-going adolescents from 212 selected schools in Malaysia. Anxiety was measured using Depression Anxiety and Stress Scale (DASS-21). Associations between anxiety, sociodemographic characteristics and variables of interest were examined using multivariable logistic regression. Results: Overall, 10,540 (39.7%) school-going adolescents had anxiety. Anxiety was positively associated with female (odds ratio, OR [95% confidence interval, CI] = 1.30 [1.19,1.42]) compared to male counterpart, feeling loneliness (1.78 [1.54,2.05]) compared to not lonely, unable to sleep due to worry of something (1.79 [1.56,2.05]) compared to able to sleep, being bullied (1.66 [1.48,1.87]) compared to not being bullied, physical abuse (1.33 [1.18,1.49]) compared to no physical abuse, verbal abuse (1.47 [1.35,1.59]) compared to no verbal abuse, current drinker (1.23 [1.06,1.43]) compared to not current drinker, current drug use (1.84 [1.43,2.35]) compared to not current drug use, ever had sex (1.17 [1.01,1.36]) compared to never had sex, physically inactive (1.16 [1.06,1.26]) compared to physically active and internet addiction (2.59 [2.37,2.83]) compared to no internet addiction. Chinese ethnic (0.68 [0.50,0.93]) compared to other ethnic, and Form 2 (0.78 [0.69,0.89]) and Form 3 (0.73 [0.65,0.82]) students compared to Form 1 students, were protective of anxiety. Conclusion Prevention and intervention programs for these “at-risk†adolescents should be planned holistically towards reducing the risk factors.

Introduction: Internet usage has changed the way adolescents socialize. This study aims to determine the determinants of internet addiction among school-going adolescents in Malaysia. Methods: This study was a cross-sectional study involving 27,455 school-going adolescents from 212 selected schools in Malaysia, as part of the 2017 National Health and Morbidity Survey that implemented a two-stage stratified cluster sampling design. Data collection via a self-administered questionnaire was conducted from March till May 2017. Results: Overall, 8,049 (29.0%) school-going adolescents had internet addiction. Internet addiction was positively associated with male (odds ratio, OR [95% confidence interval, CI] = 1.20 [1.08,1.34]) compared to female, Chinese ethnicity (1.67 [1.12,2.48]) compared to other ethnicity, feeling loneliness (1.37 [1.20,1.57]) compared to never feel lonely, unable to sleep due to worrying of something (1.40 [1.17,1.67]) compared to able to sleep, insufficient parental supervision (1.30 [1.14,1.48]) compared to sufficient parental supervision, depression (1.67 [1.48,1.89]) compared to no depression, anxiety (2.12 [1.95,2.30]) compared to no anxiety and stress (2.26 [1.96,2.61]) compared to no stress. The odds of having internet addiction increase from Form 2 (1.51 [1.28,1.78]), Form 3 (2.37 [2.01,2.80]), Form 4 (2.60 [1.76,3.85]) to Form 5 adolescents (2.96 [1.98,4.41]) compared to Form 1 adolescents. Conclusions Our results suggest that being a male, of Chinese ethnicity, higher form level, feeling loneliness, unable to sleep due to worrying of something, insufficient parental supervision, depression, anxiety and stress were positively associated with internet addiction among school-going adolescents.