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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2021.8
- 수록면
- 107 - 108 (2page)
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Aim(s): Asian American women have elevated cardiovascular disease (CVD) risk but are an understudied minority group. Physical activity, sedentary behavior, and sleep duration are recognized as independent CVD risk factors, yet these behaviors have not been well described in this population. The study's purpose was to describe Asian American women’s 24-hour activity behaviors and examine associations of acculturation and discrimination with objectively measured 24-hour activity and sleep quality in Asian American women.
Method(s): Participants were middle-aged normotensive Asian American immigrant women born in East, Southeast or South Asia and currently living in New York City. They completed self-reported measures of acculturation (ethnicity, English proficiency, and years of U.S. residency), discrimination (Everyday Discrimination Scale), and sleep quality. They completed 7days of wrist and hip actigraphy to measure their 24-hour activity including moderate-vigorous physical activity (MVPA), light intensity physical activity (LIPA), sedentary behavior, and sleep duration. MVPA, LIPA and sedentary behavior were classified by Freedson(1998)’s cut-points and sleep duration was identified by applying the Cole-Kripke algorithm consulting with sleep diaries. Linear regression ana ... 전체 초록 보기
Method(s): Participants were middle-aged normotensive Asian American immigrant women born in East, Southeast or South Asia and currently living in New York City. They completed self-reported measures of acculturation (ethnicity, English proficiency, and years of U.S. residency), discrimination (Everyday Discrimination Scale), and sleep quality. They completed 7days of wrist and hip actigraphy to measure their 24-hour activity including moderate-vigorous physical activity (MVPA), light intensity physical activity (LIPA), sedentary behavior, and sleep duration. MVPA, LIPA and sedentary behavior were classified by Freedson(1998)’s cut-points and sleep duration was identified by applying the Cole-Kripke algorithm consulting with sleep diaries. Linear regression ana ... 전체 초록 보기
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UCI(KEPA) : I410-ECN-0101-2021-512-001927767