Evidence map›Paper›PMID 24809450›Full record

ArticleJournal of physical activity & health2015

"How Hard Could it Be?" A Descriptive Analysis of Errors Made on a Validated Lifetime Physical Activity Questionnaire.

Natalie Anderton, Megan E Newhouse, Barbara E Ainsworth, Ingrid E Nygaard, Marlene J Egger, Janet M Shaw

Abstract read
In one paragraph

Article in Journal of physical activity & health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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

2 citing papers in PubMed.

  1. Article
  2. 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.

Natalie AndertonDept of Physical Therapy, University of Utah, Salt Lake City, UT.
Megan E Newhouse
Barbara E Ainsworth
Ingrid E Nygaard
Marlene J Egger
Janet M Shaw

Funding

Physical Activity and Pelvic Floor DisordersR01HD057895 · NICHD · UNIVERSITY OF UTAH · PI NYGAARD, INGRID E · 2008 to 2012
$1.6M
NICHD NIH HHS R01 HD057895NICHD NIH HHS R01HD057895-01
6 · The paper itself

Abstract

backgroundMeasuring historical physical activity in epidemiologic research depends on self-report. We aimed to describe data reporting errors women made in completing 2 validated questionnaires: Lifetime Physical Activity Questionnaire (LPAQ) and Occupational Questionnaire (OQ).

methodsParticipants--229 women aged 38 to 65 years--completed questionnaires on paper (n = 160) or by web interface (n = 69). One research assistant collected questionnaire data, identified potential errors and contacted participants to trouble-shoot errors.

resultsWomen made mean 9.7 (SD 11.2) errors on paper and 7.1 (SD 6.2) errors on electronic versions of the LPAQ and 2.6 (SD 3.8) and 1.1 (SD 1.4) errors on paper and electronic versions of the OQ, respectively. Fewer mistakes were made on electronic versions of both questionnaires combined (8.5 ± 6.1) when compared with the paper versions (12.7 ± 13.1). Only ~2% of the sample completed all questionnaires without detectable errors. The most common errors were reporting activities or frequencies inconsistently between past year survey and the current age epoch, reporting more years than allowed by age epoch and missing information.

conclusionsDespite the implications of "self-report" questionnaires, we recommend researchers provide participants with additional instructions, either verbally or as written tip sheet or both, and follow-up after questionnaire completion to correct mistakes as needed.

Indexed as

Self ReportAdultAgedFemaleHumansMiddle AgedMotor ActivityResearch Design

Identifiers

PMID24809450
PMCPMC4324375

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.