{"title":"加速度计测量的多维身体活动模式和身体功能衰退:一项前瞻性的国家队列衰老研究。","authors":"Lingjie Fan,Junhan Zhao,Jian Wang,Xin Zhou Be,Xiyue Wang,Shengyi Liu,Fengyi Wang,Quan Wei,Tao Lin","doi":"10.1093/gerona/glaf158","DOIUrl":null,"url":null,"abstract":"BACKGROUND\r\n: Physical activity (PA) is crucial for maintaining physical function in older adults, but relationships between multidimensional PA patterns and functional decline remain unclear. This study examined associations between accelerometer-measured PA patterns and physical function decline in older adults.\r\n\r\nMETHODS\r\n: We conducted a prospective cohort study with one-year follow-up using data from 586 community-dwelling participants aged ≥65 years in the National Health and Aging Trends Study (2021-2022). Wrist-worn accelerometers measured four PA dimensions: cumulative (total activity counts), peak (maximum intensity), temporal (active and sedentary minutes), and fragmentation. Physical function decline was defined as any decrease in Short Physical Performance Battery score at follow-up. Multivariable logistic regression examined associations between PA dimensions and physical function changes.\r\n\r\nRESULTS\r\n: Higher total activity counts (OR: 0.71, 95% CI: 0.59-0.85), minutes spent active (OR: 0.75, 95% CI: 0.63-0.89), and maximum intensity (OR: 0.67, 95% CI: 0.55-0.83) were associated with lower odds of functional decline, while activity fragmentation showed the opposite relationship (OR: 1.23, 95% CI: 1.03-1.47). Dose-response analyses demonstrated continuous linear relationships. Compared to the lowest activity levels (10th percentile), participants at the 90th percentile showed substantially lower risk: total activity counts (OR: 0.50, 95% CI: 0.29-0.88), active minutes (OR: 0.58, 95% CI: 0.37-0.95), and maximum intensity (OR: 0.54, 95% CI: 0.32-0.75), while activity fragmentation showed progressive risk increase (OR: 1.37, 95% CI: 0.83-2.21). Domain-specific analyses showed consistent patterns.\r\n\r\nCONCLUSIONS\r\n: Multidimensional PA patterns have distinct relationships with functional decline in older adults. Findings support tailored PA recommendations and potential for targeted interventions.","PeriodicalId":22892,"journal":{"name":"The Journals of Gerontology Series A: Biological Sciences and Medical Sciences","volume":"14 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Accelerometer-Measured Multi-dimensional Physical Activity Patterns and Physical Functional Decline: A Prospective National Cohort Study of Aging.\",\"authors\":\"Lingjie Fan,Junhan Zhao,Jian Wang,Xin Zhou Be,Xiyue Wang,Shengyi Liu,Fengyi Wang,Quan Wei,Tao Lin\",\"doi\":\"10.1093/gerona/glaf158\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"BACKGROUND\\r\\n: Physical activity (PA) is crucial for maintaining physical function in older adults, but relationships between multidimensional PA patterns and functional decline remain unclear. This study examined associations between accelerometer-measured PA patterns and physical function decline in older adults.\\r\\n\\r\\nMETHODS\\r\\n: We conducted a prospective cohort study with one-year follow-up using data from 586 community-dwelling participants aged ≥65 years in the National Health and Aging Trends Study (2021-2022). Wrist-worn accelerometers measured four PA dimensions: cumulative (total activity counts), peak (maximum intensity), temporal (active and sedentary minutes), and fragmentation. Physical function decline was defined as any decrease in Short Physical Performance Battery score at follow-up. Multivariable logistic regression examined associations between PA dimensions and physical function changes.\\r\\n\\r\\nRESULTS\\r\\n: Higher total activity counts (OR: 0.71, 95% CI: 0.59-0.85), minutes spent active (OR: 0.75, 95% CI: 0.63-0.89), and maximum intensity (OR: 0.67, 95% CI: 0.55-0.83) were associated with lower odds of functional decline, while activity fragmentation showed the opposite relationship (OR: 1.23, 95% CI: 1.03-1.47). Dose-response analyses demonstrated continuous linear relationships. Compared to the lowest activity levels (10th percentile), participants at the 90th percentile showed substantially lower risk: total activity counts (OR: 0.50, 95% CI: 0.29-0.88), active minutes (OR: 0.58, 95% CI: 0.37-0.95), and maximum intensity (OR: 0.54, 95% CI: 0.32-0.75), while activity fragmentation showed progressive risk increase (OR: 1.37, 95% CI: 0.83-2.21). Domain-specific analyses showed consistent patterns.\\r\\n\\r\\nCONCLUSIONS\\r\\n: Multidimensional PA patterns have distinct relationships with functional decline in older adults. Findings support tailored PA recommendations and potential for targeted interventions.\",\"PeriodicalId\":22892,\"journal\":{\"name\":\"The Journals of Gerontology Series A: Biological Sciences and Medical Sciences\",\"volume\":\"14 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-07-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Journals of Gerontology Series A: Biological Sciences and Medical Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1093/gerona/glaf158\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Journals of Gerontology Series A: Biological Sciences and Medical Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/gerona/glaf158","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Accelerometer-Measured Multi-dimensional Physical Activity Patterns and Physical Functional Decline: A Prospective National Cohort Study of Aging.
BACKGROUND
: Physical activity (PA) is crucial for maintaining physical function in older adults, but relationships between multidimensional PA patterns and functional decline remain unclear. This study examined associations between accelerometer-measured PA patterns and physical function decline in older adults.
METHODS
: We conducted a prospective cohort study with one-year follow-up using data from 586 community-dwelling participants aged ≥65 years in the National Health and Aging Trends Study (2021-2022). Wrist-worn accelerometers measured four PA dimensions: cumulative (total activity counts), peak (maximum intensity), temporal (active and sedentary minutes), and fragmentation. Physical function decline was defined as any decrease in Short Physical Performance Battery score at follow-up. Multivariable logistic regression examined associations between PA dimensions and physical function changes.
RESULTS
: Higher total activity counts (OR: 0.71, 95% CI: 0.59-0.85), minutes spent active (OR: 0.75, 95% CI: 0.63-0.89), and maximum intensity (OR: 0.67, 95% CI: 0.55-0.83) were associated with lower odds of functional decline, while activity fragmentation showed the opposite relationship (OR: 1.23, 95% CI: 1.03-1.47). Dose-response analyses demonstrated continuous linear relationships. Compared to the lowest activity levels (10th percentile), participants at the 90th percentile showed substantially lower risk: total activity counts (OR: 0.50, 95% CI: 0.29-0.88), active minutes (OR: 0.58, 95% CI: 0.37-0.95), and maximum intensity (OR: 0.54, 95% CI: 0.32-0.75), while activity fragmentation showed progressive risk increase (OR: 1.37, 95% CI: 0.83-2.21). Domain-specific analyses showed consistent patterns.
CONCLUSIONS
: Multidimensional PA patterns have distinct relationships with functional decline in older adults. Findings support tailored PA recommendations and potential for targeted interventions.