Asian American immigrant (AAI) women may have suboptimal 24-h activity patterns due to traditional gender role and caregiving responsibilities. However, little is known about their objectively-measured activity. We measured AAI women’s 24-h activity patterns using accelerometry and examined cultural correlates of time in sedentary behavior (SB), light intensity physical activity (LIPA), moderate-to-vigorous physical activity (MVPA) and sleep. Seventy-five AAI women completed surveys on acculturation (years of U.S. residency and English proficiency), discrimination, and sleep quality, and 7 days of wrist- and hip-accelerometer monitoring. Linear regression was conducted controlling for age, BMI, and education. We also compared activity patterns across Asian subgroups (East, Southeast, South Asians). On average, AAI women had 33 min of MVPA, 6.1 h of LIPA, 10 h of SB, and 5.3 h of sleep per day. South Asian women had the longest SB and the shortest sleep and MVPA hours. English proficiency was negatively related to MVPA (p?=?0.03) and LIPA (p?<?0.01). Years of U.S. residency was positively related to SB (p?=?0.07). Discrimination was related to shorter (p?=?0.03) and poorer quality sleep (p?=?0.06). Culturally-tailored programs targeting SB and sleep and integrating coping strategies against discrimination could help optimize AAI women’s 24-h activity patterns.
In this paper, we study fractional‐order optimal control problems (FOCPs) involving the Atangana‐Baleanu fractional derivative. A computational method based on B‐spline polynomials and their operational matrix of Atangana‐Baleanu fractional integration is proposed for the numerical solution of this class of problems. With this numerical technique, the FOCPs are reduced to a system of equations which are solved for the unknown parameters with the help of Mathematica® software. Our results show the applicability and usefulness of the numerical technique. 相似文献
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