METHOD: A cross-sectional study comprising OA communities was conducted between January 2022 and September 2022 in the Gombak District, Selangor. A self-administered online questionnaire using Google Forms and a self-administered printed questionnaire was used to collect data from youths aged 18 years old-24 years old. The Malay version of Conner-Davidson Resilience Scale-25 (CD-RISC-25) was used to assess psychological resilience. Data analysis was performed using SPSS version 28.0, and multiple linear regression analyses were conducted to evaluate the associated factors and their significance level.

RESULT: A total of 158 participants were involved in this study. The mean score for psychological resilience was estimated at 69.28 (SD = 14.52). The social relationships domain recorded the highest mean score for quality of life (71.54, SD = 13.72). Meanwhile, the total mean score for self-esteem fell into the high-level category (35.77, SD = 4.94), and the domain of relationship and family dynamics under family environment scored the highest mean score of 18.83 (SD = 2.89). Psychological resilience was associated with youths of KOA Batu 12 (β = -14.274, P < 0.05), KOA Ulu Batu (β = -17.789, P < 0.05), less than four siblings (β = -6.495, P < 0.05), owner of residential property (β = -7.543, P < 0.05), high self-esteem (β = 0.612, P < 0.05) and good relationship and family dynamic (β = 1.391, P < 0.05).

METHODS: A total of 323 dyads of GI cancer patients and their caregivers completed the Medical Outcomes Study 12-item Short Form (MOS SF-12) questionnaire to measure their HRQOL during face-to-face interviews. The analyses were performed using SF-12 scoring software to compute PCS and MCS scores (HRQOL parameters). The independent t test, one-way ANOVA, and the Pearson correlation test were conducted to determine the demographic factors related to the HRQOL of the dyads.

RESULTS: The caregivers had higher scores in all domains for the SF-12 than the patients. There were significant differences found in the MCS scores of the patients according to ethnicity, origin of cancer, duration of cancer, and surgery. None of these factors had a significant relationship with the caregivers' HRQOL.

METHODS: A structured, systematic review was performed according to the PRISMA guidelines. Databases of PubMed, Scopus, Web of Science, IDEAS/REPEC, OSHLINE, HSELINE, and NIOSHTIC-2 were reviewed. Study quality appraisal was performed using the Table of Evidence Levels from Cincinnati Children's Hospital Medical Center, Joanna Briggs Institute tools, Mixed Methods Appraisal Tool, and Center of Evidence Based Management case study critical appraisal checklist. Quantitative analysis was not attempted due to the heterogeneity of included studies. A qualitative synthesis of primary studies examining socioeconomic impact of airborne and droplet-borne infectious diseases outbreaks in any industry was performed and a framework based on empirical findings was conceptualized.

RESULTS: A total of 55 studies conducted from 1984 to 2021 were included, reporting on 46,813,038 participants working in multiple industries across the globe. The quality of articles were good. On the whole, direct socioeconomic impacts of Coronavirus Disease 2019, influenza, influenza A (H1N1), Severe Acute Respiratory Syndrome, tuberculosis and norovirus outbreaks include increased morbidity, mortality, and health costs. This had then led to indirect impacts including social impacts such as employment crises and reduced workforce size as well as economic impacts such as demand shock, supply chain disruptions, increased supply and production cost, service and business disruptions, and financial and Gross Domestic Product loss, attributable to productivity losses from illnesses as well as national policy responses to contain the diseases.

METHODS: A cross-sectional study was conducted in a locality within Selangor, sampling a total of 1449 young adults. The Cyberbullying and Online Aggression Survey was used to measure cyberbullying victimisation. The Family APGAR scale, General Health Questionnaire, Pittsburgh Sleep Quality Index and single-item measures were used to assess family dysfunction, psychological distress and health behaviour, respectively.

RESULTS: The 1-month prevalence of cyberbullying victimisation among young adults was 2.4%. The most common cyberbullying act experienced was mean or hurtful comments about participants online (51.7%), whereas the most common online environment for cyberbullying to occur was social media (45.8%). Male participants (adjusted OR (AOR)=3.60, 95% CI=1.58 to 8.23) had at least three times the odds of being cyberbullied compared with female participants. Meanwhile, participants with higher levels of psychological distress had increased probability of being cyberbullied compared with their peers (AOR=1.13, 95% CI=1.05 to 1.21).

METHODS AND ANALYSIS: This is a 3-year project in which a survey of 100 000 workers from all 13 states in Malaysia will be conducted using a web-based screening tool that is comprised of two parts: occupational disease screening tool and hazard identification, risk assessment and risk control method. Data will be collected using a multistage stratified sampling method from 500 companies, including seven critical industrial sectors. The independent variables will be sociodemographic characteristics, comorbidities, previous medical history, high-risk behaviour and workplace profile. The dependent variable will be the types of occupational diseases (noise-induced hearing loss, respiratory, musculoskeletal, neurotoxic, skin and mental disorders). Subsequently, suggestions of referral for medium and high-risk workers to occupational health clinics will be attained. The approved occupational health service clinics/providers will make a confirmatory diagnosis of each case as deemed necessary. Subsequently, a walk-through survey to identify workplace hazards and recommend workplace improvement measures to prevent these occupational diseases will be achieved. Both descriptive and inferential statistics will be used in this study. Simple and adjusted binary regression will be used to find the determinants of occupational diseases.