Evidence map›Paper›PMID 30666321›Full record

ArticleJournal for the measurement of physical behaviour2018

Using Devices to Assess Physical Activity and Sedentary Behavior in a Large Cohort Study, the Women's Health Study.

I-Min Lee, Eric J Shiroma, Kelly R Evenson, Masamitsu Kamada, Andrea Z LaCroix, Julie E Buring

Abstract read
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Article in Journal for the measurement of physical behaviour, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

I-Min LeeDivision of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts (I-M. L., J.E.B.); Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts (I-M. L., J.E.B.); Laboratory of Epidemiology and Population Science, National Institute on Aging, Bethesda, Maryland (E.J.S.); Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina - Chapel Hill, Chapel Hill, North Carolina (K.R.E.); Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts (M.K.); Department of Physical Activity Research, National Institute of Health and Nutrition, NIBIOHN, Tokyo, Japan (M.K.); Department of Family Medicine and Public Health, University of California San Diego, San Diego, CA (A.Z.L.).
Eric J ShiromaDivision of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts (I-M. L., J.E.B.); Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts (I-M. L., J.E.B.); Laboratory of Epidemiology and Population Science, National Institute on Aging, Bethesda, Maryland (E.J.S.); Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina - Chapel Hill, Chapel Hill, North Carolina (K.R.E.); Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts (M.K.); Department of Physical Activity Research, National Institute of Health and Nutrition, NIBIOHN, Tokyo, Japan (M.K.); Department of Family Medicine and Public Health, University of California San Diego, San Diego, CA (A.Z.L.).
Kelly R EvensonDivision of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts (I-M. L., J.E.B.); Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts (I-M. L., J.E.B.); Laboratory of Epidemiology and Population Science, National Institute on Aging, Bethesda, Maryland (E.J.S.); Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina - Chapel Hill, Chapel Hill, North Carolina (K.R.E.); Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts (M.K.); Department of Physical Activity Research, National Institute of Health and Nutrition, NIBIOHN, Tokyo, Japan (M.K.); Department of Family Medicine and Public Health, University of California San Diego, San Diego, CA (A.Z.L.).
Masamitsu KamadaDivision of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts (I-M. L., J.E.B.); Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts (I-M. L., J.E.B.); Laboratory of Epidemiology and Population Science, National Institute on Aging, Bethesda, Maryland (E.J.S.); Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina - Chapel Hill, Chapel Hill, North Carolina (K.R.E.); Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts (M.K.); Department of Physical Activity Research, National Institute of Health and Nutrition, NIBIOHN, Tokyo, Japan (M.K.); Department of Family Medicine and Public Health, University of California San Diego, San Diego, CA (A.Z.L.).
Andrea Z LaCroixDivision of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts (I-M. L., J.E.B.); Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts (I-M. L., J.E.B.); Laboratory of Epidemiology and Population Science, National Institute on Aging, Bethesda, Maryland (E.J.S.); Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina - Chapel Hill, Chapel Hill, North Carolina (K.R.E.); Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts (M.K.); Department of Physical Activity Research, National Institute of Health and Nutrition, NIBIOHN, Tokyo, Japan (M.K.); Department of Family Medicine and Public Health, University of California San Diego, San Diego, CA (A.Z.L.).
Julie E BuringDivision of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts (I-M. L., J.E.B.); Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts (I-M. L., J.E.B.); Laboratory of Epidemiology and Population Science, National Institute on Aging, Bethesda, Maryland (E.J.S.); Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina - Chapel Hill, Chapel Hill, North Carolina (K.R.E.); Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts (M.K.); Department of Physical Activity Research, National Institute of Health and Nutrition, NIBIOHN, Tokyo, Japan (M.K.); Department of Family Medicine and Public Health, University of California San Diego, San Diego, CA (A.Z.L.).

Funding

Women's Health Study: Continued Follow-upR01CA047988 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI BURING, JULIE E., LEE, I-MIN · 1991 to 2014
$28.2M
Women's Health Study: Continued Follow-UpR01HL080467 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI BURING, JULIE E. · 2005 to 2010
$4.5M
Women's Health Study: Infrastructure support for continued cohort follow-upU01CA182913 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI BURING, JULIE E., LEE, I-MIN · 2019 to 2023
$4.0M
The Women's Health Study: Infrastructure Support for Continued Cohort Follow-upUM1CA182913 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI BURING, JULIE E., LEE, I-MIN · 2014 to 2018
$4.0M
Use of accelerometry data for patterns of daily activity in older personsZIAAG006020 · NIA · NATIONAL INSTITUTE ON AGING · PI SHIROMA, ERIC · 2009 to 2021
$2.7M
TRIAL OF VITAMIN E, BETA-CAROTENE &ASPRIN IN WOMENR01HL043851 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI BURING, JULIE E · 1991 to 2000
$1.6M
Objectively Measured Physical Activity and Mortality in WomenR01CA154647 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI LEE, I-MIN · 2011 to 2014
$1.2M
The Women's Health Study: Addition of New Data to Maximize its Research ImpactRC1HL099355 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI BURING, JULIE E. · 2009 to 2010
$992k
NCI NIH HHS R01 CA047988NCI NIH HHS R01 CA154647NCI NIH HHS U01 CA182913NCI NIH HHS UM1 CA182913NHLBI NIH HHS R01 HL043851NHLBI NIH HHS R01 HL080467NHLBI NIH HHS RC1 HL099355
6 · The paper itself

Abstract

In recent years, it has become feasible to use devices for assessing physical activity and sedentary behavior among large numbers of participants in epidemiologic studies, allowing for more precise assessments of these behaviors and quantification of their associations with health outcomes. Between 2011 and 2015, the Women's Health Study (WHS) used the Actigraph GT3X+ device to measure physical activity and sedentary behavior over 7 days, during waking hours, among 17,708 women (mean age, 72 years) living throughout the United States. Devices were sent to and returned by participants via mail. We describe here the methods used to collect and process the accelerometer data for epidemiologic data analyses. We also provide metrics that describe the quality of the accelerometer data collected, as well as expanded findings regarding previously published associations of physical activity or sedentary behavior with all-cause mortality during an average follow-up of 2.3 years (207 deaths). The WHS is one of the earliest "next generation" epidemiologic studies of physical activity, utilizing wearable devices, in which long-term follow-up of participants for various health outcomes is anticipated. It therefore serves as a useful case study in which to discuss unique challenges and issues faced.

Indexed as

accelerometersphysical activitysedentary behavior

Identifiers

PMID30666321
PMCPMC6338453

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.