Search

Objectives: To examine the association between acculturation and leisure-time physical activity among Asian Americans. Design: Data came from the 2011–2016 National Health and Nutrition Examination Survey, restricting to non-Hispanic Asian adults aged 20 years and older (n = 1989). Acculturation was assessed by language preference at home, birth locations, and length of residency in the United States (US). Self-reported physical activity was used to estimate leisure-time moderate-to-vigorous physical activity (MVPA) in MET-minutes/week and meeting the World Health Organization's physical activity guidelines. Multiple linear and logistic regression models were used to model MVPA as continuous and categorical variables, respectively. Results: A quarter of Asian Americans spoke only English and 47.8% spoke only non-English at home; 13.0% were born in the US. Asians who spoke only English (adjusted prevalence ratio [aPR]:1.5) and Asians who spoke both English and non-English at home (aPR: 1.4) had greater proportions of meeting physical activity guidelines compared to those who spoke only non-English at home. The US-born Asians had higher a proportion of meeting the physical activity guidelines (aPR:1.4) and performed 547.6 more MET-minutes of MVPA each week than foreign-born Asians; they also had a higher proportion of meeting the physical activity guidelines than foreign-born Asians who stayed in US for ≤ 10 years (aPR:1.5). Length of time staying in the US was associated with a higher proportion of meeting physical activity guidelines. Among foreign-born Asian Americans, higher acculturation measures were also positively associated with meeting physical activity guidelines. Conclusions: Acculturation was positively associated with physical activity levels among Asian Americans. More acculturated Asian Americans such as those who spoke more English at home and US-born Asians, performed more MVPA than less acculturated Asian Americans. Interventions are needed to promote physical activity among non-English speaking Asian immigrants and recent immigrants. [ABSTRACT FROM AUTHOR]

Introduction: This study examined the potential of a device agnostic approach for predicting physical activity from consumer wearable accelerometry compared with a research-grade accelerometry. Methods: Seventy-five 5- to 12-year-olds (58% male, 63% White) participated in a 60-min protocol. Children wore wrist-placed consumer wearables (Apple Watch Series 7 and Garmin Vivoactive 4) and a research-grade device (ActiGraph GT9X) concurrently with an indirect calorimeter (COSMED K5). Activity intensities (i.e., inactive, light, moderate-to-vigorous physical activity) were estimated via indirect calorimetry (criterion), and the Hildebrand thresholds were applied to the raw accelerometer data from the consumer wearables and research-grade device. Epoch-by-epoch (e.g., weighted sensitivity, specificity) and discrepancy (e.g., mean bias, absolute error) analyses evaluated agreement between accelerometry-derived and criterion estimates. Equivalence testing evaluated the equivalence of estimates produced by the consumer wearables and ActiGraph. Results: Estimates produced by the raw accelerometry data from ActiGraph, Apple, and Garmin produced similar criterion agreement with weighted sensitivity = 68.2% (95% confidence interval (CI), 67.1%–69.3%), 73.0% (95% CI, 71.8%–74.3%), and 66.6% (95% CI, 65.7%–67.5%), respectively, and weighted specificity = 84.4% (95% CI, 83.6%–85.2%), 82.0% (95% CI, 80.6%–83.4%), and 75.3% (95% CI, 74.7%–75.9%), respectively. Apple Watch produced the lowest mean bias (inactive, −4.0 ± 4.5; light activity, 2.1 ± 4.0) and absolute error (inactive, 4.9 ± 3.4; light activity, 3.6 ± 2.7) for inactive and light physical activity minutes. For moderate-to-vigorous physical activity, ActiGraph produced the lowest mean bias (1.0 ± 2.9) and absolute error (2.8 ± 2.4). No ActiGraph and consumer wearable device estimates were statistically significantly equivalent. Conclusions: Raw accelerometry estimated inactive and light activity from wrist-placed consumer wearables performed similarly to, if not better than, a research-grade device, when compared with indirect calorimetry. This proof-of-concept study highlights the potential of device-agnostic methods for quantifying physical activity intensity via consumer wearables. [ABSTRACT FROM AUTHOR]