Occupational stress is a modern epidemic. Prevalence and predictors of occupational stress in specific workforce are critical in management of occupational stress. The aim of this review is to explore the current prevalence of occupational stress and its predictors among selected Malaysian working population based on published articles between years 2008 to 2017. A systematic search of articles published between 2008 and 2017 was conducted in several databases (ISI Web of Knowledge, PubMed, Scopus, Google scholar). A total of eleven articles met the inclusion criteria, included in the review. The current prevalence of occupational stress was between 6.0% till 71.7%. Mean prevalence of stress was 29.9%. From eight job categories, most stressful job was primary teachers and least stressful job was academician in private university. Predictors of occupational stress were: 1) organizational factors: high job demand, poor workplace condition, lack of organization support, job insecurity, long working hours, burden of career development and interpersonal conflicts 2) individual (extra-organization) factors: gender, age, marital status, number of children, coping strategies. Although the predictors of occupational stress varies among different job categories, most job categories present similar risk factors such as high job demand, poor workplace condition, lack of organization support, job insecurity, long working hours, burden of career development and interpersonal conflicts. Dual approaches involving organization and individual level pertaining towards each stressor are recommended in alleviating occupational stress among those selected workforces.

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.

Inntroduction: The rapid spread of the Coronavirus disease 2019 (COVID-19) worldwide has led the World Health Organization to declare COVID-19 outbreak as a pandemic on March 11, 2020. As the local studies on factors leading to the absence or presence of clinical illness among the COVID-19 cases are sparse, the study aims to determine the factors associated with asymptomatic COVID19 patients in Petaling District, Selangor, Malaysia Methods: Data on COVID-19 patients were extracted from the database of confirmed cases in Petaling District Health Office, Selangor, Malaysia from 3rd February 2020 to 30th April 2020. An asymptomatic laboratory-confirmed case is a person infected with COVID-19 who does not develop any symptoms. The study included socio-demographic variables, the detailed information on clinical manifestations and co-morbidity of the patients. Descriptive and multiple logistic regression analyses were conducted to determine the factors associated with asymptomatic patients. Results: The overall COVID-19 patients in Petaling District were 434. Approximately 70% (n= 292) of the patients were symptomatic while 32.7% (n= 142) were asymptomatic. Multivple logistic regression analyses revealed that factors significantly associated with asymptomatic patients were age below 40 years old (aOR: 1.79, 95% CI 1.11, 2.86), non-Malaysians (aOR: 3.22, 95% CI 1.44, 7.19) and local cases (aOR: 2.51, 95% CI 1.42, 4.42). Gender, ethnicity, comorbidity and township were not significantly associated with asymptomatic patients. Conlcusion Approximately one-third of COVID-19 patients were asymptomatic and the risk factors identified were younger age, non-Malaysians and local cases. Rigorous epidemiological investigation is helpful in identifying COVID-19 cases among these group of people who are asymptomatic.