Evidence map›Paper›PMID 36240998›Full record

ArticleJournal of sport and health science2024

Association of daily sitting time and leisure-time physical activity with body fat among U.S. adults.

Jingwen Liao, Min Hu, Kellie Imm, Clifton J Holmes, Jie Zhu, Chao Cao, Lin Yang

Abstract read
In one paragraph

Article in Journal of sport and health science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Physiological responses to exercise in survivors of preterm birth: a meta-analysis.European respiratory review : an official journal of the European Respiratory Society · 2025
    Pooled it
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  16. Is meeting 24-hour movement guidelines associated with a lower risk of frailty among adults?The international journal of behavioral nutrition and physical activity · 2025
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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

7 authors.

Jingwen LiaoGuangdong Provincial Key Laboratory of Physical Activity and Health Promotion, Guangzhou Sport University, Guangzhou 510500, China; Scientific Research Center, Guangzhou Sport University, Guangzhou 510500, China. Electronic address: liaojw@gzsport.edu.cn.
Min HuGuangdong Provincial Key Laboratory of Physical Activity and Health Promotion, Guangzhou Sport University, Guangzhou 510500, China.
Kellie ImmDivision of Epidemiology & Genetics, Department of Population and Public Health Sciences, Keck School of Medicine of the University of Southern California, Los Angeles, CA 90033, USA.
Clifton J HolmesProgram in Physical Therapy, Washington University School of Medicine, St. Louis, MO 63110, USA; Center for Human Nutrition, Washington University School of Medicine, St. Louis, MO 63110, USA.
Jie ZhuDepartment of Plastic and Reconstructive Surgery, Shanghai East Hospital, Tongji University, Shanghai 200070, China.
Chao CaoProgram in Physical Therapy, Washington University School of Medicine, St. Louis, MO 63110, USA; Center for Human Nutrition, Washington University School of Medicine, St. Louis, MO 63110, USA.
Lin YangDepartment of Cancer Epidemiology and Prevention Research, Alberta Health Services, Calgary T2S 3C3, Canada; Department of Oncology and Community Health Sciences, University of Calgary, Calgary T2N 1N4, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProlonged sitting and reduced physical activity lead to low energy expenditures. However, little is known about the joint impact of daily sitting time and physical activity on body fat distribution. We investigated the independent and joint associations of daily sitting time and physical activity with body fat among adults.

methodsThis was a cross-sectional analysis of U.S. nationally representative data from the National Health and Nutrition Examination Survey 2011-2018 among adults aged 20 years or older. Daily sitting time and leisure-time physical activity (LTPA) were self-reported using the Global Physical Activity Questionnaire. Body fat (total and trunk fat percentage) was determined via dual X-ray absorptiometry.

resultsAmong 10,808 adults, about 54.6% spent 6 h/day or more sitting; more than one-half reported no LTPA (inactive) or less than 150 min/week LTPA (insufficiently active) with only 43.3% reported 150 min/week or more LTPA (active) in the past week. After fully adjusting for sociodemographic data, lifestyle behaviors, and chronic conditions, prolonged sitting time and low levels of LTPA were associated with higher total and trunk fat percentages in both sexes. When stratifying by LTPA, the association between daily sitting time and body fat appeared to be stronger in those who were inactive/insufficiently active. In the joint analyses, inactive/insufficiently active adults who reported sitting more than 8 h/day had the highest total (female: 3.99% (95% confidence interval (95%CI): 3.09%-4.88%); male: 3.79% (95%CI: 2.75%-4.82%)) and trunk body fat percentages (female: 4.21% (95%CI: 3.09%-5.32%); male: 4.07% (95%CI: 2.95%-5.19%)) when compared with those who were active and sitting less than 4 h/day.

conclusionProlonged daily sitting time was associated with increased body fat among U.S. adults. The higher body fat associated with 6 h/day sitting may not be offset by achieving recommended levels of physical activity.

Indexed as

Leisure ActivitiesSitting PositionAdipose TissueAdultCross-Sectional StudiesExerciseFemaleHumansMaleNutrition SurveysAdultsBody fat distributionPhysical activitySitting time

Identifiers

PMID36240998
PMCPMC10980870

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.