METHODS: The study utilized data from the National School-Based Health Survey 2022, a nationwide survey involving school-going adolescents aged 13-17, with a total of 33,523 participants from 239 schools. To assess depression, the study employed the Patient Health Questionnaire (PHQ-9), considering a score of 10 or higher as indicative of depression. Dietary behaviours were assessed using a validated self-administered questionnaire adapted from the World Health Organization's Global School-based Student Health Survey. Descriptive analysis and complex sample logistic regression were carried out using SPSS version 26.0.
RESULTS: The study revealed a 26.9% overall prevalence of depression, with higher risks among female adolescents (AOR 2.71, 95% CI 2.51, 2.92) and those in higher grades. Malays (AOR 1.71, 95% CI 1.41, 2.07), Other Bumiputeras (AOR 1.69, 95% CI 1.32, 2.17), and Others (AOR 1.63, 95% CI 1.16, 2.30) had elevated odds of depression compared to Indians. Healthy dietary habits, like consuming less than two servings of fruits daily, correlated with depression (AOR 1.44 95% CI 1.35, 1.54). Additionally, unhealthy dietary behaviours such as fast food consumption (AOR 1.73 [95% CI 1.55, 1.93]) and carbonated soft drink intake (AOR 1.59 [95% CI 1.48, 1.70]) were positively associated with depression.
CONCLUSIONS: One out of every four Malaysian adolescents was identified to experience depression. Depression was linked to several factors, such as being female, belonging to higher grade levels, identifying as Malays, Other Bumiputeras, or belonging to other ethnicities, and participating in the consumption of fast food, carbonated soft drinks, and fruits. To address these observations, it is crucial to formulate effective public health programmes that prioritize adolescent mental health and encourage the adoption of healthy eating habits.
METHODS AND ANALYSIS: This is a community-based nationwide cross-sectional study in Malaysia. The data collection period is from July 2023 until September 2023, with a planned sample size of 1296 participants. We use a two-stage proportionate stratified random sampling method to ensure national representativeness. The definition of MetS follows the Harmonised Joint Interim Statement in 2009. A diagnosis of MAFLD is made if a participant has fatty liver, defined as having a Fatty Liver Index ≥60 and has type 2 diabetes, a body mass index ≥23 kg/m2, or ≥2 metabolic risk abnormalities. Complex sample analysis will be conducted, and the disease prevalence will be reported with 95% CIs, unweighted counts and estimated populations.
ETHICS AND DISSEMINATION: The protocol has been approved by the Medical Research and Ethics Committee of the Ministry of Health Malaysia (NMRR ID-22-02845-GUT). The findings will be disseminated through a formal report, policy brief, scientific publications, conference presentations, social media, print media and stakeholder engagement activities.
METHODS: A cross-sectional study design with quota sampling was used. A total of 203 respondents aged 18 years and above from a research centre in the Ministry of Health, Malaysia, were recruited. Venous blood was sent to the laboratory and tested with Siemens Atellica CH, while a POCT analyser was used for capillary blood measurements. Intraclass coefficient correlation (ICC) analysis was employed to determine the agreement between capillary and venous blood parameters. The diagnostic performance of the evaluated tests was evaluated using STATA version 12.
RESULTS: The agreement between capillary and laboratory venous blood was moderate (0.64-0.67) for TC and HDL, good (0.75) for LDL and excellent (0.91) for TG). The sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) were as follows: TC, 57.1%, 94.3%, 92.3% and 64.8%; TG, 76.0%, 100%, 100%, and 96.6%; HDL, 96.2%, 83.2%, 47.2% and 99.3%; and LDL, 81.0%, 100%, 100% and 68.3%, respectively.
CONCLUSIONS: The CardioChek® PA analyser showed acceptable diagnostic accuracy for screening high-risk individuals more often in places where laboratories are inaccessible. It could also be used in clinical settings where patients would benefit from swift treatment decisions.
MATERIAL AND METHODS: A COVID-19 healthcare worker surveillance programme was implemented in University Malaya Medical Centre. The programme involved four teams: contact tracing, risk assessment, surveillance and outbreak investigation. Daily symptom surveillance was conducted over fourteen days for healthcare workers who were assessed to have low-, moderate- and high-risk of contracting COVID-19. A cross-sectional analysis was conducted for data collected over 24 weeks, from the 6th of March 2020 to the 20th of August 2020.
RESULTS: A total of 1,174 healthcare workers were placed under surveillance. The majority were females (71.6%), aged between 25 and 34 years old (64.7%), were nursing staff (46.9%) and had no comorbidities (88.8%). A total of 70.9% were categorised as low-risk, 25.7% were moderate-risk, and 3.4% were at high risk of contracting COVID-19. One-third (35.2%) were symptomatic, with the sore throat (23.6%), cough (19.8%) and fever (5.0%) being the most commonly reported symptoms. A total of 17 healthcare workers tested positive for COVID-19, with a prevalence of 0.3% among all the healthcare workers. Risk category and presence of symptoms were associated with a positive COVID-19 test (p<0.001). Fever (p<0.001), cough (p = 0.003), shortness of breath (p = 0.015) and sore throat (p = 0.002) were associated with case positivity.
CONCLUSION: COVID-19 symptom surveillance and risk-based assessment have merits to be included in a healthcare worker surveillance programme to safeguard the health of the workforce.