MATERIALS AND METHODS: A cross-sectional study involving 86 respondents was conducted using an online survey between the middle of March and April 2022. The Perceived Stress Scale (PSS) developed by Cohen et al., (1983) was used to assess the stress levels of individuals. Data analysis was carried out using the SPSS statistical program, which included descriptive statistics, Mann-Whitney, Kruskal Wallis and Linear Regression tests.
RESULTS: The majority of respondents, 75.6% (n=65) reported moderate stress levels, while 14.0% (n=12) declared severe stress levels. The Mann-Whitney test showed no significant difference in psychosocial stress scores among workers between onshore and offshore (χ2=-0.523, p=0.601), whereas the Kruskal Wallis test showed a significant difference in psychosocial stress scores among workers between states (PMA, SKA, and SBA) (χ2=6.415, p=0.040). According to the regression test, workers with medical histories of diabetes and Covid-19 (R2=0.158) (p<0.005) are two factors linked to psychosocial stress.
CONCLUSION: The study found that there were significant differences in psychosocial stress among oil and gas workers between SKA, SBA, and PMA due to quarantine activity. Mobile workers and those with certain medical histories were identified as being particularly vulnerable to psychosocial stress. However, it was noted that the overall improvement in the quarantine period had a positive impact on the mental health of these workers.
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.
ETHICS AND DISSEMINATION: This study has been approved by the MARA University of Technology Research Ethics Board. Informed, written consent will be obtained from all study participants. Findings will be disseminated to the Department of Occupational Health and Safety, involved industries, and through peer-reviewed publications.