METHODS: This cross-sectional study was conducted from May to June 2023 among pre-retirement government healthcare workers in Kuala Lumpur, Malaysia. The sample size required was 233 and proportionate random sampling was used to recruit potential respondents who answered self-administered online questionnaires. Global Physical Activity Questionnaire (GPAQ) was used to measure the level of physical activity and data analysis was performed using SPSS version 29.
RESULTS: A total of 214 complete responses were received from the 233 questionnaires distributed, giving a response rate of 91.8%. The prevalence of physical inactivity among pre-retirement healthcare workers was 39.7% as compare only 29.9% in general population. Significant predictors for physical inactivity included higher education levels (SPM, STPM, or certificate holders) (AOR = 13.4, 95% CI: 2.47-72.65), non-Malay ethinicity (AOR = 4.7, 95% CI: 1.23-18.38), personal barriers (AOR = 1.6, 95% CI:1.35-1.79), social barriers (AOR = 1.21, 95% CI: 1.06-1.39), and physical environment barriers (AOR = 1.468, 95% CI: 1.221-1.765).
CONCLUSION: This study shows a worrying prevalence of physical inactivity among pre-retirement healthcare workers that is even higher than the general population in Malaysia. The findings highlight the importance of focusing the preventive strategies among non-Malay workers and those with lower education levels. It is also vital to address all the physical, social, and environmental barriers towards physical inactivity. By prioritising these factors, employers and stakeholders will be able to establish better workplace health promotion and address the issue of physical inactivity more efficiently.
Methods: Thirteen focus group discussions involving 129 participants from a weight-loss intervention program were conducted within the first 1 month of recruitment. These discussions were moderated by two trained researchers in the Malay language and assisted by an interview guide. They were audio-recorded and transcribed verbatim. A thematic analysis was performed, and codes and themes from each discussion were constructed.
Results: The participants understood dieting with various meanings, including skipping meals and removing rice from daily diets. They applied numerous methods to lose weight and achieved various outcomes. Health and appearance, social support, and compliance with current trends were the factors motivating these participants to lose weight. Their determination to lose weight was limited by lack of self-control and motivation, experiences of unpleasant effects, influence on weight, and environmental and health factors.
Conclusion: Real-life weight loss experiences and perceptions provided relevant insights into current weight loss management strategies. Some of these issues and misunderstandings should be emphasized in weight loss strategies during health promotion.