METHODS: A total of 176 adolescents in selected urban areas in the states of Wilayah Persekutuan and Selangor were selected. The Suicide Ideation Scale (SIS) was used to measure the level of severity or tendency of suicidal ideation. The Multidimensional Scale of Perceived Social Support (MSPSS) was used to measure the perceived social support received by the respondent while the Spiritual Wellbeing Scale (SWBS) was used to measure the religious wellbeing (RWB), the existential wellbeing (EWB) and the overall score of spiritual wellbeing (SWB).
RESULTS: The study found that both RWB and EWB showed significant negative correlation with suicidal ideation. Similarly, support from family and friends also showed a negative correlation with suicidal ideation. Further analysis using multiple regressions showed that RWB and SWB, and family support predict suicidal ideation in adolescents.
CONCLUSION: Spiritual wellbeing in combination with family support plays a major role in predicting suicidal ideation. Therefore, intervention for encompassing spirituality and family support may contribute to a more positive outcome in suicidal adolescents.
METHODS AND ANALYSIS: We will conduct a systematic review of observational studies that investigated environmental risk factors of leptospirosis in urban localities. The search will be performed for any eligible articles from selected electronic databases from 1970 until May 2018. The study will include any studies that investigated risk factors of confirmed leptospirosis cases who acquired the infection in urban locality, particularly exposures from the non-recreational and non-water-related activities. Study selection and reporting will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines and Meta-Analysis of Observational Studies in Epidemiology guideline. All data will be extracted using a standardised data extraction form and quality of the studies will be assessed using the Newcastle-Ottawa Scale guideline. Descriptive and meta-analysis will be performed by calculating the standardised median ORs and risk ratios for types of the non-recreational risk factors stratified by social, living conditions and environmental exposures, types of reservoirs and transmissions and types of activities and employments associated with leptospirosis infection in urban locality.
ETHICS AND DISSEMINATION: No primary data will be collected thus no formal ethical approval is required. The results will be disseminated though a peer-reviewed publication and conference presentation.
PROSPERO REGISTRATION NUMBER: CRD42018090820.
METHODS: We used a cross-sectional study with data from the Malaysian TB Information System (TBIS) recorded from 1 January 2014 to 31 December 2017. All children aged 0-14 years who were registered in the TBIS with at least one household contact of TB cases were included in the study. Multiple logistic regression analysis was performed to calculate the adjusted odds ratio (adj. OR) and for adjusting the confounding factors.
RESULTS: A total of 2793 children were included in the study. The prevalence of active TB was 1.5% (95% confidence interval [CI]: 1.31, 1.77%). Children aged 6 weeks [adj. OR 7.48 (95% CI: 2.88, 19.43), p
METHODS: A retrospective study was conducted where data was extracted from the Health Status Screening Form (BSSK) at health clinics in Johor Bahru. Using the World Health Organization (WHO), criteria for obesity, BMI≥30.0 kg/m2 was specified as obese and combination of both BMI ranges for overweight (25.0-30.0kg/m2) and obesity (≥30.0kg/m2) as elevated BMI.
RESULTS: The overall prevalence of elevated BMI and obesity was 54.6% and 20.1% respectively. Men had a higher prevalence of elevated BMI (57.4%) with odds of 1.28 higher (95%CI: 1.04-1.58). High prevalence of elevated BMI and obesity were seen among the Indians (elevated BMI - 60.2%, obesity - 19.4%) followed by Malays (elevated BMI -57.8%, obesity - 23.1%) and Chinese showed the lowest (elevated BMI - 39.0%, obesity - 8.8%). The odds of elevated BMI and obesity were lower among younger adults as compared to older adults (≥30 years old).
CONCLUSION: Using WHO criteria, about one in two adults had elevated BMI while one in five were obese. Elevated BMI and obesity disparities were evident in age and ethnicity, but sex differences were encountered in elevated BMI group.
METHODS: An online health survey was conducted between May to July 2017 among employees from 47 private companies located in urban Malaysia. A total of 5235 respondents completed the 20-min online employee health survey on a voluntary basis. Chi-Square or Fisher's exact tests were used to determine association between income with demographic and categorical factors of absenteeism and presenteeism. Multivariate linear regression was used to identify factors predicting absenteeism and presenteeism.
RESULTS: More than one third of respondents' monthly income were less than RM4,000 (35.4%), 29.6% between RM4,000-RM7,999 and 35.0% earned RM8,000 and above. The mean age was 33.8 years (sd ± 8.8) and 49.1% were married. A majority were degree holders (74.4%) and 43.6% were very concerned about their financial status. Mean years of working was 6.2 years (sd ± 6.9) with 68.9% satisfied with their job. More than half reported good general physical health (54.5%) (p = 0.065) and mental health (53.5%) (p = 0.019). The mean hours of sleep were 6.4 h (sd ± 1.1) with 63.2% reporting being unwell due to stress for the past 12 months. Mean work time missed due to ill-health (absenteeism) was 3.1% (sd ± 9.1), 2.8% (sd ± 9.1) and 1.8% (sd ± 6.5) among employees whose monthly income was less than RM4,000, RM4,000-RM7,999 and over RM8,000 respectively (p = 0.0066). Mean impairment while working due to ill-health (presenteeism) was 28.2% (sd ± 25.3), 24.9% (sd ± 25.5) and 20.3% (sd ± 22.9) among employees whose monthly income was less than RM4,000, RM4,000-RM7,999 and over RM8,000 respectively (p
METHODS: Monthly OPD attendance from 1,053 public primary care health clinics in Malaysia, from January 1, 2019, to June 30, 2021, was analysed. The study duration was divided into four distinct periods: pre-pandemic, pandemic with the first lockdown implementation, pandemic after the first lockdown was lifted, and pandemic with the second lockdown implementation. An interrupted time series analysis was conducted to assess the impact of different interventions at national, regional, urban-rural, and district levels. Data were then aggregated at the district level and the utilisation changes were visualised in a choropleth map. Additionally, simple linear regression (SLR) was performed to explore the association between utilisation changes and urbanisation rates of the district, for each period.
RESULTS: Nationally, OPD utilisation dropped by nearly 13% at the onset of the first lockdown and continued to decline by almost 24% monthly thereafter. In terms of urban-rural differences, urban areas in the Central and Eastern Regions showed greater fluctuations in OPD utilisation during different periods. Results from the SLR revealed that higher urbanisation rates were associated with more pronounced changes in utilisation, although the direction of these changes varied across time periods.
CONCLUSION: The OPD utilisation was affected during the COVID-19 and sporadic urban-rural differences were observed in some areas of the country. This study offers important insights into the geographic and urban-rural patterns of healthcare utilisation during the pandemic, which are crucial in improving healthcare equity in Malaysia.
DESIGN: We analysed women's data from the Bangladesh Demographic Health Surveys, conducted between 1996 and 2022. Sociodemographic characteristics, changes in BMI distribution and underweight and overweight prevalence were estimated at national and urban-rural levels. Associated factors were identified using multilevel mixed-effect logistic regression, with survey year as a random intercept. Multinomial regressions were used for the individual survey waves.
SETTING: Nationally representative cross-sectional survey.
PARTICIPANTS: 90 510 reproductive-aged women.
RESULTS: There is an epidemiological transition from underweight to overweight by approximately 5 kg/m2 over the period. The prevalence of underweight women declined by 41·34 %, while overweight/obesity increased by 33·62 %. For urban-rural disparities, the prevalence of underweight was consistently higher among rural women, whereas overweight was more common among urban women. Increased age and higher education had higher odds of being overweight/obese and relatively higher socio-economic status had higher odds of being overweight and lower odds of being underweight. Access to television had mostly higher odds of being overweight. Age, education, socio-economic status and watching television showed consistent risks over time, while other factors showed inconsistent risks at different survey times.
CONCLUSIONS: There was an epidemiological transition in BMI, with a declining trend in underweight and a substantial increase in overweight. Targeted interventions are needed to tackle the persistent undernutrition in rural areas and the rapidly escalating epidemic of overweight/obesity, particularly in urban settings.