RESUMEN
Non-Leisure Time Physical is the main component of physical activity in Malaysia. The aim of this study is to study the associated factors related to Non-Leisure Time Physical (occupational & travel) in Malaysia. This data is from the Third National Health and Morbidity Survey, consisting of 32,575 respondents. It was a cross-sectional study among Malaysian adult, aged 18 years and was conducted using proportional to the size stratified sampling method. Chi square test and logistic regression model were used to analyse the data. The result showed that non-leisure time physical activity (NLTPA) gives more contribution to total physical activity, as compared to leisure time physical activity with percentage of 64.3% and 35.7% respectively. There was a significant association between NLTPA with age (P < 0.001), gender (P < 0.001), ethnicity (P < 0.001), education (P < 0.001), occupation (P < 0.001), income (P < 0.001), marital status (P < 0.001), region (P <0.001) and residence (P < 0.001). The main component of physical activity in Malaysia is NLTPA. Promoting NLTPA may have potential to increase physical activity levels in Malaysia.
RESUMEN
This study examined relationships between physical activity and sleep relative to leisure-time, household, and occupational physical activity in community-dwelling, older adults. From 3,000 randomly chosen community-dwelling, adults, aged 65-85 years, we recruited 509 eligible subjects (mean age 73.2 ± 5.1 years). We assessed nocturnal sleep duration, sleep onset latency and subjective sleep quality over the previous month through a questionnaire. Physical Activity Scale for the Elderly was used to assess leisure-time, household, and occupational physical activity. Items pertaining to sleep were expressed as dichotomous variables (good/poor), and each physical activity score was divided into two categories based on activity level. To investigate the relationship between sleep (dependent variable) and physical activity (independent variable), we used a logistic regression analysis, controlling for age, gender, living arrangement, depressive symptoms, and cognitive function. Prolonged sleep latency was significantly related to no participation in low intensity exercise (OR 2.14; 95% CI 1.42-3.21) and muscle strength exercise (OR 1.99; 95% CI 1.06-3.74). Our data suggest that not participating in low intensity exercise or muscle strength exercise may be associated with difficulty initiating sleep in older adults.