Introduction: Physical inactivity has been recognised as the fourth leading risk factor for mortality worldwide. Individuals who are physically inactive have an increased risk of 20% to 30% of dying prematurely. Individuals who fulfil the minimum recommendations of physical activity can reduce the development of Non-Communicable Diseases. In 2015, 33.5% of Malaysian adults were reported to be physically inactive. Various factors were found to be associated with physical activity participation and these factors need to be explored. Methods: A cross-sectional study using proportionate simple random sampling was conducted. A total of 310 health staff were sampled according to the proportion from five divisions and data were collected using a self-administered questionnaire. IBM SPSS version 22.0 were used to analyse the data. Predictors for physical activity were also determined. Results: The response rate was 97.7% (303 out of 310). The prevalence of physical inactivity among respondents was 37.6%. The predictors for physical inactivity were smoker/ex-smoker (aOR=2.308, p=0.027), certificate/diploma education (aOR=2.135, p=0.008), personal barrier (aOR=1.055, p=0.017) and social environment barrier (aOR=1.106, p =0.025). Conclusion: People that have a higher possibility of being physically inactive were those with certificate or diploma education and smokers or ex-smokers. Those with personal barriers and social environment barriers likewise have higher probability of being physically inactive. Thus, appropriate health interventions should be developed by taking these factors into consideration to promote physical activity among the health staff.
Physical inactivity

INTRODUCTION: Due to COVID-19 pandemic, many have shifted into working at home which led to physical inactivity. This may cause musculoskeletal discomfort, chronic disease, muscle atrophy and spinal imbalance due to improper and prolonged sitting posture. Since mobile devices are relatively available for most of the office workers, there were still a lack of evidence-based mobile applications that can counteract the inactivity through exercises, which led to the researchers to create an application called SitMate that consists of evidence-based exercises which aimed to prevent musculoskeletal discomfort among a business process outsourcing company Workforce Management Personnel (BPO-WMP). METHODS: Eleven participants (18-40 years old) full-time, work-from-home BPO-WMP were randomized into Treatment Group(TG)(n=6) and Control Group (CG)(n=5). The TG received one month intervention with the use of SitMate Application containing relaxation exercises, range of motion exercises and stretching exercises, and notifications for postural correction while the CG continued their usual working schedule. RESULTS: There were no significant differences between two groups on all body parts that were measured using the Cornell Musculoskeletal Discomfort Questionnaire, and no significant differences in the intragroup pre-test and post-test scores on all body parts between TG and CG. For the intra-group post-test of the TG, there were noted improvements on the hip/buttock, right shoulder, upper back (median = 0) and right wrist (median = 1.5). There was also a noted increase in discomfort on the neck (median = 1.5) and lower back (median = 3). For the post-test of the CG, there were noted improvements on the right shoulder, right wrist (median = 0) and lower back (median = 1.5). CONCLUSION This study has shown that the SitMate application does not effectively reduce the prolonged sitting-related discomfort among the personnel after 1 month of intervention.
mobile application ; musculoskeletal discomfort ; physical inactivity ; low back pain ; posture