Accelerometer-Based Estimates of Physical Activity and Sedentary Time Among Samoan Adults

Author:

Hawley Nicola L.1ORCID,Zarei Parmida12,Crouter Scott E.3ORCID,Desai Mayur M.1ORCID,Pomer Alysa4ORCID,Rivara Anna C.1ORCID,Naseri Take5ORCID,Reupena Muagututia Sefuiva6ORCID,Viali Satupaitea7ORCID,Duckham Rachel L.89ORCID,McGarvey Stephen T.10ORCID

Affiliation:

1. Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, USA

2. University of Illinois College of Medicine, Chicago, IL, USA

3. Department of Kinesiology, Recreation, and Sport Studies, The University of Tennessee, Knoxville, TN, USA

4. Center for Surgery and Public Health, Brigham and Women’s Hospital, Boston, MA, USA

5. Ministry of Health, Apia, Samoa

6. Lutia I Puava Ae Mapu I Fagalele, Apia, Samoa

7. School of Medicine, National University of Samoa, Apia, Samoa

8. Australian Institute for Musculoskeletal Science (AIMSS), The University of Melbourne and Western Health, St Albans, VIC, Australia

9. Clinical Leadership Effectiveness and Outcomes (CLEO), Digital Health Division, The Northern Hospital, Melbourne, VIC, Australia

10. Department of Epidemiology and International Health Institute, Brown University School of Public Health, Providence, RI, USA

Abstract

Background: The prevalence of obesity-related cardiometabolic disease in Samoa is among the highest globally. While physical activity is a modifiable risk factor for obesity-related disease, little is known about physical activity levels among adult Samoans. Using wrist-worn accelerometer-based devices, this study aimed to characterize physical activity among Samoan adults. Methods: Samoan adults (n = 385; 55% female, mean [SD] age 52 [10] y) wore Actigraph GT3X+ devices for 7 to 10 days. General linear models were used to examine mean daily minutes of sedentary time, light physical activity, and moderate to vigorous physical activity by various participant characteristics. Results: Time spent in moderate to vigorous physical activity did not differ statistically between men (88 [5] min; 95% confidence interval [CI], 80–97) and women (78 [4] min; 95% CI, 70–86; P = .08). Women, however, spent more time than men in light physical activity: 380 (7) minutes (95% CI, 367–393) versus 344 (7) minutes (95% CI, 329–358; P < .001). While there were no differences in physical activity by census region, education, or occupation among women, men in urban areas spent significantly less time in moderate to vigorous physical activity than those in peri-urban and rural areas (P = .015). Women with class II/III obesity spent more time in sedentary activities than those with healthy weight or overweight/class I obesity (P = .048). Conclusions: This study characterizes physical activity among Samoan adults and highlights variation by sex, urbanicity, and weight status. In providing initial device-measured estimates of physical activity in Samoa, this analysis establishes a baseline from which the success of future attempts to intervene on physical activity may be assessed.

Publisher

Human Kinetics

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