Sylvia E Badon, J F Winkles, Alicia Colvin, Erin E Dooley, Carrie Karvonen-Gutierrez, Christopher E Kline, Kelley Pettee Gabriel
{"title":"可靠估计老年妇女装置测量的24小时运动的最小佩戴时间标准。","authors":"Sylvia E Badon, J F Winkles, Alicia Colvin, Erin E Dooley, Carrie Karvonen-Gutierrez, Christopher E Kline, Kelley Pettee Gabriel","doi":"10.1093/aje/kwaf171","DOIUrl":null,"url":null,"abstract":"<p><p>The objective of this study was to identify the minimum wear time criteria to produce reliable estimates of 24-hour movement behaviors and compositions in a study of older women. We used data collected in 2015-2017 in a subsample (n=1,282) of The Study of Women's Health Across the Nation (SWAN). Data from hip-worn accelerometers and wrist-worn actigraphy devices were harmonized into sleep-wake activity cycles. We identified minimum sleep-wake interval duration for 24 hour-equivalent estimates (reference (23, 25] hour range) and minimum number of sleep-wake cycles for 7 day-equivalent estimates using tests of equivalence with a confidence approach for duration and percent of the sleep-wake interval for each behavior. For intervals in the 23-25 hour range, participants spent a mean 7.8 hours (32.8%) in sleep, 7.4 hours (31.2%) in sedentary behavior, 4.9 hours (20.7%) in low light intensity physical activity (PA), 2.6 hours (10.8%) in high light intensity PA, and 1.1 hours (4.5%) in moderate/vigorous intensity PA. The minimum wear time criteria to produce reliable estimates was at least one day with a minimum of 6 hours of data. Our results are likely driven by high adherence to device wear protocols and are likely applicable to other studies of midlife and older adults.</p>","PeriodicalId":7472,"journal":{"name":"American journal of epidemiology","volume":" ","pages":""},"PeriodicalIF":4.8000,"publicationDate":"2025-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Minimum wear time criteria for reliable estimates of device-measured 24-hour movement in older women.\",\"authors\":\"Sylvia E Badon, J F Winkles, Alicia Colvin, Erin E Dooley, Carrie Karvonen-Gutierrez, Christopher E Kline, Kelley Pettee Gabriel\",\"doi\":\"10.1093/aje/kwaf171\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The objective of this study was to identify the minimum wear time criteria to produce reliable estimates of 24-hour movement behaviors and compositions in a study of older women. We used data collected in 2015-2017 in a subsample (n=1,282) of The Study of Women's Health Across the Nation (SWAN). Data from hip-worn accelerometers and wrist-worn actigraphy devices were harmonized into sleep-wake activity cycles. We identified minimum sleep-wake interval duration for 24 hour-equivalent estimates (reference (23, 25] hour range) and minimum number of sleep-wake cycles for 7 day-equivalent estimates using tests of equivalence with a confidence approach for duration and percent of the sleep-wake interval for each behavior. For intervals in the 23-25 hour range, participants spent a mean 7.8 hours (32.8%) in sleep, 7.4 hours (31.2%) in sedentary behavior, 4.9 hours (20.7%) in low light intensity physical activity (PA), 2.6 hours (10.8%) in high light intensity PA, and 1.1 hours (4.5%) in moderate/vigorous intensity PA. The minimum wear time criteria to produce reliable estimates was at least one day with a minimum of 6 hours of data. Our results are likely driven by high adherence to device wear protocols and are likely applicable to other studies of midlife and older adults.</p>\",\"PeriodicalId\":7472,\"journal\":{\"name\":\"American journal of epidemiology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":4.8000,\"publicationDate\":\"2025-08-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"American journal of epidemiology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1093/aje/kwaf171\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"American journal of epidemiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/aje/kwaf171","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
Minimum wear time criteria for reliable estimates of device-measured 24-hour movement in older women.
The objective of this study was to identify the minimum wear time criteria to produce reliable estimates of 24-hour movement behaviors and compositions in a study of older women. We used data collected in 2015-2017 in a subsample (n=1,282) of The Study of Women's Health Across the Nation (SWAN). Data from hip-worn accelerometers and wrist-worn actigraphy devices were harmonized into sleep-wake activity cycles. We identified minimum sleep-wake interval duration for 24 hour-equivalent estimates (reference (23, 25] hour range) and minimum number of sleep-wake cycles for 7 day-equivalent estimates using tests of equivalence with a confidence approach for duration and percent of the sleep-wake interval for each behavior. For intervals in the 23-25 hour range, participants spent a mean 7.8 hours (32.8%) in sleep, 7.4 hours (31.2%) in sedentary behavior, 4.9 hours (20.7%) in low light intensity physical activity (PA), 2.6 hours (10.8%) in high light intensity PA, and 1.1 hours (4.5%) in moderate/vigorous intensity PA. The minimum wear time criteria to produce reliable estimates was at least one day with a minimum of 6 hours of data. Our results are likely driven by high adherence to device wear protocols and are likely applicable to other studies of midlife and older adults.
期刊介绍:
The American Journal of Epidemiology is the oldest and one of the premier epidemiologic journals devoted to the publication of empirical research findings, opinion pieces, and methodological developments in the field of epidemiologic research.
It is a peer-reviewed journal aimed at both fellow epidemiologists and those who use epidemiologic data, including public health workers and clinicians.