Physical activity and aging research has burgeoned in the past few decades. However, despite the increase in scholarly publications, no attempts have been made to summarize the publication landscape and identify work that has had great impact on physical activity and aging research. We conducted a bibliometric analysis and collected publication data from 1980 to February 6, 2015, in the Web of Science Core Collection. Of 9,935 publications, most were published after 2007 and almost 60% were in the category of geriatrics and gerontology or sport sciences. Highly cited publications (n = 45) were mostly authored by researchers from US institutions and were quantitative in nature. Publications that reported on the associations between physical activity and health, or effects of physical activity on health, in older adults made up 60% of the highly cited publications. We expect more scholars from various backgrounds and geographical regions to join the conversation on physical activity and aging.
We evaluated feasibility of physical activity measurement by accelerometry among older Malay adults living in semi-rural areas in Malaysia. Results showed that 95% of 146 participants (aged [SD] 67.6 [6.4] years) were compliant in wearing the accelerometer for at least five days. Fifteen participants were asked for re-wear the accelerometer because they did not have enough valid days during the first assessment. Participants wore the accelerometer an average of 15.3 hr in a 24-hr day, with 6.5 (1.2) valid wear days. No significant difference in valid wear day and time was found between men and women. Participants who are single provide more valid wear days compared with married participants (p < .05), and participants with higher levels of education provide longer periods of accelerometer wearing hours (p < .01). Eighty-seven percent of participants reported 'no issues' with wearing the meter. This study suggests that accelerometry is a feasible method to assess the physical activity level among older Malay adults living in semi-rural areas.
The aim of this study was to determine the incidence of physical inactivity and identify the predictors for low physical activity among community-dwelling older persons living in Malaysia in 3 years follow-up. In this prospective study, physical activity levels were measured using the Physical Activity Scale for the Elderly. The arbitrary cutoff for Physical Activity Scale for the Elderly in this study was ≤70.9 for low and >141 for high physical activity levels. Out of the 955 physically active participants at baseline, 555 of them (mean [SD] age 68.82 [4.92] years) were successfully followed up to 3 years. Cumulative incidence of being physically inactive was 21% with rate of 7 per 100 person-years. It was found that being older (
While physical activity ensures healthy aging, rural community-dwelling older women tend to be more physically inactive compared with their counterparts in Malaysia. As social support is one of the key determinants of physical activity, this retrospective, cross-sectional study investigated the prevalence of physical activity and its association with social support among 1,221 rural community-dwelling older women in Kuala Pilah, Negeri Sembilan, Malaysia. The prevalence of physical activity among older women was 45.1% with the highest prevalence reported for housework domain (52.3%). The total mean Duke Social Support index score was 27.24 ± 3.40. Multivariate analysis reported age, employment status, and income level to demonstrate significant association with the physical activity after adjusting for confounders. Older women with an increase in social interaction score were more likely (odds ratio = 1.22; 95% confidence interval [1.10, 1.34]; p < .001) to have high physical activity when adjusted for sociodemographic, health, mental health, and physical disability. Contrarily, older women with an increase in one subjective social support score were less likely (odds ratio = 0.91; 95% confidence interval [0.87, 0.96]; p < .001) to have high physical activity when adjusted for confounders. The findings were insightful to tailor interventions on promoting social support for physical activity enhancement among older women.
The current evidence on the relationship between a higher body mass index (BMI) and falls in older adults is conflicting. This study, therefore, evaluated the relationship between BMI and falls and explored underlying mechanisms for this relationship. Data from 1,340 individuals from the Malaysian Elders Longitudinal Research study, obtained through home-based computer-assisted interviews and followed by hospital-based health checks, were utilized. A history of the presence of falls in the previous 12 months was obtained. The presence of at least one fall in the past 12 months was associated with a higher BMI (odds ratio = 1.03, 95% confidence interval [1.01, 1.06]). The relationship between a higher BMI and falls was, however, attenuated by a lower percentage of lean body mass, which accounted for 69% of the total effect of BMI on the risk of falls. Future studies should now investigate this aforementioned relationship prospectively.
This study aims to determine the effectiveness of a multicomponent exercise and therapeutic lifestyle (CERgAS) intervention at improving gait speed among older people in an urban poor setting in Malaysia. A total of 249 participants were divided into the intervention (n = 163) and control (n = 86) groups. The mean (SD) age of participants was 67.83 (6.37) and consisted of 88 (35.3%) males and 161 (64.7%) females. A generalized estimating equation with an intention-to-treat analysis was used to measure gait speed at four time points, baseline (T0), 6 weeks (T1), 3 months postintervention (T2), and 6 months postintervention (T3). The results showed significant changes for time between T0 and T3 (mean difference = 0.0882, p = .001), whereas no significant association were found for group (p = .650) and interaction (p = .348) effects. A 6-week intervention is inadequate to improve gait speed. Future efforts should introduce physical activity monitoring and increase exercise duration, frequency, and intensity.