{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,8]],"date-time":"2026-09-08T22:04:41Z","timestamp":1788905081233,"version":"build-2803163510"},"reference-count":21,"publisher":"Wiley","issue":"10","license":[{"start":{"date-parts":[[2017,8,11]],"date-time":"2017-08-11T00:00:00Z","timestamp":1502409600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["UL1 RR025744"],"award-info":[{"award-number":["UL1 RR025744"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000049","name":"National Institute on Aging","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000049","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000050","name":"National Heart, Lung, and Blood Institute","doi-asserted-by":"publisher","award":["3U01AG022376\u201305A2S"],"award-info":[{"award-number":["3U01AG022376\u201305A2S"]}],"id":[{"id":"10.13039\/100000050","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J American Geriatrics Society"],"published-print":{"date-parts":[[2017,10]]},"abstract":"<jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>\n                      To examine associations between objectively measured physical activity (\n                      <jats:styled-content style=\"fixed-case\">PA<\/jats:styled-content>\n                      ) and incidence of major mobility disability (\n                      <jats:styled-content style=\"fixed-case\">MMD<\/jats:styled-content>\n                      ) and persistent\n                      <jats:styled-content style=\"fixed-case\">MMD<\/jats:styled-content>\n                      (\n                      <jats:styled-content style=\"fixed-case\">PMMD<\/jats:styled-content>\n                      ) in older adults in the Lifestyle Interventions and Independence for Elders (\n                      <jats:styled-content style=\"fixed-case\">LIFE<\/jats:styled-content>\n                      ) Study.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Design<\/jats:title>\n                    <jats:p>\n                      Prospective cohort of individuals aged 65 and older undergoing structured\n                      <jats:styled-content style=\"fixed-case\">PA<\/jats:styled-content>\n                      intervention or health education.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Setting<\/jats:title>\n                    <jats:p>The LIFE Study was a multicenter (eight sites) randomized controlled trial designed to compare the efficacy of a long\u2010term structured PA intervention with that of a health education (HE) program in reducing the incidence of MMD in mobility\u2010limited older adults.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Participants<\/jats:title>\n                    <jats:p>\n                      <jats:styled-content style=\"fixed-case\">LIFE<\/jats:styled-content>\n                      Study participants (n = 1,590) had a mean age\u00b1standard deviation of 78.9 \u00b1 5.2, low levels of\n                      <jats:styled-content style=\"fixed-case\">PA<\/jats:styled-content>\n                      , and measured mobility\u2010relevant functional impairment at baseline.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Measurements<\/jats:title>\n                    <jats:p>\n                      Activity data were collected using hip\u2010worn 7\u2010day accelerometers at baseline and 6, 12, and 24 months after randomization to test for associations with incident\n                      <jats:styled-content style=\"fixed-case\">MMD<\/jats:styled-content>\n                      and\n                      <jats:styled-content style=\"fixed-case\">PMMD<\/jats:styled-content>\n                      (\u22652 consecutive instances of\n                      <jats:styled-content style=\"fixed-case\">MMD<\/jats:styled-content>\n                      ).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      At baseline, every 30 minutes spent being sedentary (&lt;100 accelerometry counts per minute) was associated with higher rate of subsequent\n                      <jats:styled-content style=\"fixed-case\">MMD<\/jats:styled-content>\n                      (10%) and\n                      <jats:styled-content style=\"fixed-case\">PMMD<\/jats:styled-content>\n                      (11%) events. Every 500 steps taken was associated with lower rate of\n                      <jats:styled-content style=\"fixed-case\">MMD<\/jats:styled-content>\n                      (15%) and\n                      <jats:styled-content style=\"fixed-case\">PMMD<\/jats:styled-content>\n                      (18%). Similar associations were observed when fitting accelerometry\u2010based\n                      <jats:styled-content style=\"fixed-case\">PA<\/jats:styled-content>\n                      as a time\u2010dependent variable.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>\n                      Accelerometry\u2010based\n                      <jats:styled-content style=\"fixed-case\">PA<\/jats:styled-content>\n                      levels were strongly associated with\n                      <jats:styled-content style=\"fixed-case\">MMD<\/jats:styled-content>\n                      and\n                      <jats:styled-content style=\"fixed-case\">PMMD<\/jats:styled-content>\n                      events in older adults with limited mobility. These results support the importance of daily\n                      <jats:styled-content style=\"fixed-case\">PA<\/jats:styled-content>\n                      and lower amounts of sedentary time levels in this population and suggest that accelerometry may be a useful tool for assessing risk of mobility disability.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/jgs.15037","type":"journal-article","created":{"date-parts":[[2017,8,11]],"date-time":"2017-08-11T02:21:44Z","timestamp":1502418104000},"page":"2251-2256","source":"Crossref","is-referenced-by-count":39,"title":["Device\u2010Measured Physical Activity As a Predictor of Disability in Mobility\u2010Limited Older Adults"],"prefix":"10.1111","volume":"65","author":[{"given":"Robert T.","family":"Mankowski","sequence":"first","affiliation":[{"name":"Department of Aging and Geriatric Research College of Medicine University of Florida Gainesville Florida"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stephen D.","family":"Anton","sequence":"additional","affiliation":[{"name":"Department of Aging and Geriatric Research College of Medicine University of Florida Gainesville Florida"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Robert","family":"Axtell","sequence":"additional","affiliation":[{"name":"Department of Exercise Science Southern Connecticut State University New Haven Connecticut"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shyh\u2010Huei","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Biostatistics School of Medicine Wake Forest University Winston\u2010Salem North Carolina"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Roger A.","family":"Fielding","sequence":"additional","affiliation":[{"name":"Jean Mayer USDA Human Nutrition Research Center on Aging Tufts University Boston 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