Evidence map›Paper›PMID 19283494›Full record

ArticleEuropean journal of epidemiology2009

Relationships of self-reported physical activity domains with accelerometry recordings in French adults.

David Jacobi, Marie-Aline Charles, Muriel Tafflet, Agnès Lommez, Jean-Michel Borys, Jean-Michel Oppert

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in European journal of epidemiology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 pooled it
2.7field-weighted citation impact, top 10% 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

29 citing papers in PubMed, 2 syntheses or guidelines pooled it, 63 citations in OpenAlex.

  1. Pooled it
  2. A systematic review of reliability and objective criterion-related validity of physical activity questionnaires.The international journal of behavioral nutrition and physical activity · 2012
    Pooled it
  3. Trial
  4. Trial
  5. Impact of a community-based lifestyle intervention program on health-related quality of life.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2016
    Trial
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  9. Surgeon ability to predict physical activity and sedentary time: Comparison of self-reported and measured activity.The surgeon : journal of the Royal Colleges of Surgeons of Edinburgh and Ireland · 2024
    Article
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  17. Observational
  18. Physical Activity Levels in a Community Lifestyle Intervention: A Randomized Trial.Translational journal of the American College of Sports Medicine · 2016
    Article
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  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

6 authors at 4 institutions in 1 country.

David JacobiDepartment of Nutrition, Pitié-Salpétrière Hospital (AP-HP); Human Nutrition Research Center Ile-de-France (CRNH-IdF), University Pierre et Marie Curie-Paris, 75013 Paris, France.
Marie-Aline Charles
Muriel Tafflet
Agnès Lommez
Jean-Michel Borys
Jean-Michel Oppert
Laboratoire d'études sur les monothéismes · FRPitié-Salpêtrière Hospital · FRSorbonne Université · FRUniversité Paris-Sud · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective was to examine the relationships of self-reported physical activity (PA) by domain (leisure, occupational, other) with PA and sedentary time as measured objectively by accelerometry. Subjects were adults with low habitual PA levels from a community in northern France. Among subjects in the lowest tertile of a PA score from a screening questionnaire, 160 (37% males, age: 41.0 +/- 10.8 years, BMI: 25.1 +/- 4.1 kg/m(2), mean +/- SD) completed a detailed instrument (Modifiable Activity Questionnaire), and wore an accelerometer (Actigraph) for seven consecutive days. Relationships between questionnaire domains (occupational, leisure, and "non-occupational non-leisure") and accelerometry measures (total activity and sedentary time) were assessed using Spearman correlation coefficients. In this population, the highest contributor to total reported PA (h/week) was occupational PA. Time spent in non-occupational non-leisure PA ranked second in women and third in men. The most frequent non-occupational non-leisure PA were shopping and household chores. In women, non-occupational non-leisure PA contributed more than occupational or leisure-time PA to total PA energy expenditure (median: 18.0, 9.1, and 4.9 MET-h/week, respectively). Total PA by accelerometry (count/day) was correlated to leisure-time PA in women (r = 0.22, P < 0.05) and to occupational (r = 0.43, P < 0.01) and total reported PA (r = 0.39, P < 0.01) in men (all in MET-h/week). There was an inverse relationship between accelerometry sedentary time (h/day) and non-occupational non-leisure PA (MET-h/week, r = -0.30, P < 0.001). These findings indicate the importance of assessing non-occupational non-leisure PA for a better understanding of how individuals partition their time between active or sedentary occupations.

Indexed as

Leisure ActivitiesLife StyleMotor ActivitySelf DisclosureActivities of Daily LivingAdolescentAdultAgedBehaviorEnergy MetabolismExerciseFemaleFranceHumansMaleMiddle Aged

Identifiers

PMID19283494
OpenAlexW2070795875

What OpenQuestion holds

Textmetadata
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.