Evidence map›Paper›PMID 35813401›Full record

ArticlePreventive medicine reports2022

Differences in physical activity between weekdays and weekend days among U.S. children and adults: Cross-sectional analysis of NHANES 2011-2014 data.

Quyen G To, Robert Stanton, Stephanie Schoeppe, Thomas Doering, Corneel Vandelanotte

Open access · goldAbstract read
In one paragraph

Article in Preventive medicine reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
7.8field-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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

  1. Comparing national device-based physical activity surveillance systems: a systematic review.The international journal of behavioral nutrition and physical activity · 2024
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Not just how much, but how it's done: movement activity bout distributions and everyday cognition in older adults with elevated dementia risk.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2026
    Article
  9. Development of a Health Text Message System to Support Stroke Prevention: A Component of the Love Your Brain Digital Platform.Health expectations : an international journal of public participation in health care and health policy · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. The temporal dynamics of the association between daily physical activity and life satisfaction.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2025
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

5 authors at 1 institution in 1 country.

Quyen G ToPhysical Activity Research Group, Appleton Institute, School of Health, Medical and Applied Sciences, Central Queensland University, Australia.
Robert StantonCluster for Resilience and Wellbeing, Appleton Institute, School of Health, Medical and Applied Sciences, Central Queensland University, Australia.
Stephanie SchoeppePhysical Activity Research Group, Appleton Institute, School of Health, Medical and Applied Sciences, Central Queensland University, Australia.
Thomas DoeringPhysical Activity Research Group, Appleton Institute, School of Health, Medical and Applied Sciences, Central Queensland University, Australia.
Corneel VandelanottePhysical Activity Research Group, Appleton Institute, School of Health, Medical and Applied Sciences, Central Queensland University, Australia.
Central Queensland University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigates differences in physical activity between weekdays and weekend days, and its associations with sociodemographic and anthropometric characteristics in the U.S population using the NHANES 2011-2014 data. Physical activity was measured using ActiGraph GT3X+. Raw acceleration data were converted to Monitor-Independent Movement Summary units (MIMS-units) that account for inter-device variability and eliminates non-human movement. The daily MIMS-units were averaged for weekdays and weekend days. Demographic characteristics were self-reported. Height and weight were objectively measured. The sample included 6611 adults aged ≥ 20 years and 3520 children aged between 6 and 19 years. The results show that more MIMS-units were registered on weekdays compared to weekend days for adults (652, 95%CI = 533, 770) and children (889, 95%CI = 702, 1076). Factors associated with physical activity in adults (gender, age, marital status, ethnicity, education level, and weight status) were similar for weekdays and weekend days. In children, physical activity was associated with ethnicity, weight status, and age. The level of differences in physical activity between weekdays and weekend days among adults was larger for men, Hispanic Americans, and those with lower education levels. Differences among children were similar across subgroups, except for those aged 16-19 years who had smaller level of difference compared to those aged 12-15 years. In conclusion, adults and children were more active on weekdays than weekend days. The effects of structured days (i.e., weekdays) on physical activity appeared to be similar across most child subgroups but more heterogeneous for adult subgroups. Interventions increasing physical activity opportunities during weekend days are warranted.

Indexed as

AnthropometricCorrelateDemographicExerciseMIMSPattern

Identifiers

PMID35813401
PMCPMC9260628
OpenAlexW4283810072

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.