Evidence map›Paper›PMID 34310489›Full record

ArticleMedicine and science in sports and exercise2021

Sedentary Behavior in U.S. Adults: Fall 2019.

Charles E Matthews, Susan A Carlson, Pedro F Saint-Maurice, Shreya Patel, Elizabeth A Salerno, Erikka Loftfield, Richard P Troiano, Janet E Fulton, Joshua N Sampson, Calvin Tribby and 2 more

Open access · greenAbstract read
In one paragraph

Article in Medicine and science in sports and exercise, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 4 pooled it
6.8field-weighted citation impact, top 2% of its field
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

60 citing papers in PubMed, 4 syntheses or guidelines pooled it, 101 citations in OpenAlex.

  1. Pooled it
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  19. Neighborhood walkability and sedentary behaviors among US adults.Environmental epidemiology (Philadelphia, Pa.) · 2026
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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

12 authors at 5 institutions in 2 countries.

Charles E MatthewsMetabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD.
Susan A CarlsonDivision of Population Health, Centers for Disease Control and Prevention, Atlanta, GA.
Pedro F Saint-MauriceMetabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD.
Shreya PatelMetabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD.
Elizabeth A Salerno
Erikka LoftfieldMetabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD.
Richard P TroianoRisk Factor Assessment Branch, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD.
Janet E FultonDivision of Nutrition, Physical Activity, and Obesity, Centers for Disease Control, Atlanta, GA.
Joshua N SampsonBiostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD.
Calvin TribbyDepartment of Geography, University of Hong Kong, Hong Kong, China.
Sarah K KeadleDepartment of Kinesiology, California Polytechnic State University, San Luis Obispo, CA.
David BerriganHealth Behaviors Research Branch, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD.
National Cancer Institute · USCenters for Disease Control and Prevention · USCalifornia Polytechnic State University · USDivision of Cancer Epidemiology and GeneticsUniversity of Hong Kong · HK

Funding

Methods for Etiologic Studies of Diet and CancerZIACP010199 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI SINHA, RASHMI · 2009 to 2025
$11.8M
Intramural NIH HHS Z99 CA999999
6 · The paper itself

Abstract

purposeHigher levels of sedentary behavior are associated with early mortality, but the distribution of sedentary time by classes of behavior and demographic groups is poorly described in U.S. adults. To quantify the amount and sources of sedentary time in U.S. adults, we conducted a nationwide survey using a novel validated self-administered previous-day recall method and compared these values with a commonly used sitting time question.

methodsParticipants from the AmeriSpeak panel 20 to 75 yr of age (N = 2640) completed up to two activities completed over time in 24 h (ACT24) previous-day recalls. Recalls were conducted on randomly selected days in October and November 2019. Survey sample designs were applied to reflect the U.S. population.

resultsMean age was 45.3 yr, 51% were female, 67% non-Hispanic White, and 37% had a body mass index of ≥30 kg·m-2. U.S. adults reported a mean 9.5 h·d-1 of sedentary time (95% confidence interval = 9.4, 9.7 h·d-1), which was 34% more than reported using a common surveillance measure (P < 0.01). Most daily sedentary time was accumulated in the leisure and work life domains, with leisure accounting for 47% (4.3 h·d-1, 95% confidence interval = 4.2, 4.5 h·d-1) of the total sedentary time. Eighty-two percent of leisure time was spent sedentary, mainly watching television/videos or engaged in Internet/computer use.

conclusionsU.S. adults appear to spend more time in sedentary behavior than previously thought, and the majority of this time is accumulated at work and in leisure time. Reducing sedentary screen time during leisure in favor of physically active could be an important intervention target in the effort to increase physical activity in U.S. adults.

Indexed as

Sedentary BehaviorAdultAgedAge DistributionCross-Sectional StudiesExerciseFemaleHumansMaleMiddle AgedSelf ReportSex DistributionTime FactorsUnited States

Identifiers

PMID34310489
PMCPMC8595506
OpenAlexW3184779825

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.