Introduction: Mak nyahs (male-to-female transgenders) often consume feminizing hormones to achieve and maintain the female physical appearance. They do it without professional prescription/advise, and often take excessive doses. This renders them at risk of developing complications of hormone consumption. This paper provides some quantitative data on hormone consumption among mak nyahs in Kuantan, Pahang, in Malaysia. Materials and Methods: A cross-sectional study was carried out from July to August in 2015 among 35 mak nyahs. Convenience sampling was used. Participants who gave consent answered an interview-guided questionnaire which documents socio-demographic profile, hormone usage, and morbidities as a result of hormone consumption. Data was analysed using SPSS, Version 16.0. (version 16). Results: Majority of the subjects were Malays (91.4%) and Muslims (97.1%), their median (IQR) age being 31 (±17) years, more than half (57.1%) were between 20 to 40 years old. Most (80.0%) of them are sex workers. Oral hormone was most commonly used (88.6%), while more than half (67.7%) of them added hormone injections. Almost all subjects purchased hormones over the counter from local pharmacies (94.2%). However, many received information on hormone from non-professional sources. Possible adverse effects of hormones reported among subjects were hypertension, ischemic heart disease, diabetes mellitus, and venous thrombo-embolism. Conclusion: Hormone consumption was very common among the subjects in this study, and may be associated with certain medical problems. Medical personnel must pay more attention in educating the mak nyahs on adverse effects of hormones consumption. Mak nyahs should also be screened for complications every time they seek medical attention.
The purpose of this article is to illustrate the links between the three factors of parental attachment (i.e., communication, trust, and alienation) and cyberbullying experiences among school- going children. A total of 375 students aged 9 to 16 years old were selected using stratified sampling method from 8 schools in Selangor. The authors adapted a 10-item instrument from the previous studies of Youth Internet Safety Survey (YISS) and EUkidsonline scales to assess the cyberbullying prevalence based on two sub-dimensions (online harassment and sex-based bullying). The confirmatory factor analysis (CFA) was used to analyse the construct validity of the scales. Structural equation modelling (SEM) then was used to test the study hypotheses. The final model has an estimated that 10% (R2=.95) of the variance in cyberbullying is explained by parental attachment, indicating only the alienation factor predicted the children’s cyberbullying experiences. The findings, however, supported a differentiated approach to positive parenting.
BACKGROUND: This study focused on the associations between socioeconomic status (SES) and adolescent smoking among secondary school students (13 to 17 years) in the Federal Territory of Kuala Lumpur, Malaysia. Our objective was to evaluate the relationships between adolescent demographics, socioeconomic status and smoking status.
METHODS: The survey data were based on baseline findings from a cross-sectional study (N = 422 adolescents). Chi-square test was used to assess the relationship between demographic characteristics, socioeconomic status (household monthly income and daily allowance) and adolescent smoking status. Exhaled carbon monoxide (CO) reading and the Hooked on Nicotine Checklist (HONC) were used to evaluate adolescent smoking status. A Multivariate Multinomial Logistic Regression (MMLR) was employed to test selected demographic and socioeconomic predictors of smoking status.
RESULTS: Of the 422 adolescents (M age = 15.58, SD = 1.24), more than half of the participants initiated smoking between 13 to 17 years old (59.0%). A total of 308 (73.0%) were electronic cigarette users, with more than 50% comprising of single users. The mean CO reading was 2.14 ppm with 78.0% of adolescents scoring more than 0 on the Hooked on Nicotine Checklist (HONC). Males and participants aged 15 and 16 years were at increased risks of sole CC smoking. Meanwhile, males, those who are not hooked on smoking and with a non-smoker CO reading were at increased risks of sole EC smoking. Finally, Bumiputeras were at less risk of EC smoking.
CONCLUSIONS: Demographic variables such as age, gender and ethnicity predicted smoking status predicted smoking risk, but not socioeconomic factors. The findings allow policy makers to target specific high-risk demographic groups when designing smoking cessation programs for adolescents.