Evidence map›Paper›PMID 35302507›Full record

ArticleInteractive journal of medical research2022

Statistical Methods for Item Reduction in a Representative Lifestyle Questionnaire: Pilot Questionnaire Study.

Alessio Staffini, Kento Fujita, Akiko Kishi Svensson, Ung-Il Chung, Thomas Svensson

Open access · goldAbstract read
In one paragraph

Article in Interactive journal of medical research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

14 citing papers in PubMed, 23 citations in OpenAlex.

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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

5 authors at 4 institutions in 3 countries.

Alessio StaffiniPrecision Health, Department of Bioengineering, Graduate School of Engineering, The University of Tokyo, Tokyo, Japan.ORCID https://orcid.org/0000-0001-5001-349X
Kento FujitaData Service Infrastructure Development Department, Service Infrastructure Division, IT-OT Innovation Division, Mobile Technology Unit, SoftBank Corp, Tokyo, Japan.ORCID https://orcid.org/0000-0003-0186-6132
Akiko Kishi SvenssonPrecision Health, Department of Bioengineering, Graduate School of Engineering, The University of Tokyo, Tokyo, Japan.ORCID https://orcid.org/0000-0002-2464-1932
Ung-Il ChungPrecision Health, Department of Bioengineering, Graduate School of Engineering, The University of Tokyo, Tokyo, Japan.ORCID https://orcid.org/0000-0002-4691-6394
Thomas SvenssonPrecision Health, Department of Bioengineering, Graduate School of Engineering, The University of Tokyo, Tokyo, Japan.ORCID https://orcid.org/0000-0003-1283-358X
Lund University · SEKanagawa University of Human Services · JPSoftBank Group (Japan) · JPUniversity of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundReducing the number of items in a questionnaire while maintaining relevant information is important as it is associated with advantages such as higher respondent engagement and reduced response error. However, in health care, after the original design, an a posteriori check of the included items in a questionnaire is often overlooked or considered to be of minor importance. When conducted, this is often based on a single selected method. We argue that before finalizing any lifestyle questionnaire, a posteriori validation should always be conducted using multiple approaches to ensure the robustness of the results.

objectiveThe objectives of this study are to compare the results of two statistical methods for item reduction (variance inflation factor [VIF] and factor analysis [FA]) in a lifestyle questionnaire constructed by combining items from different sources and analyze the different results obtained from the 2 methods and the conclusions that can be made about the original items.

methodsData were collected from 79 participants (heterogeneous in age and sex) with a high risk of metabolic syndrome working in a financial company based in Tokyo. The lifestyle questionnaire was constructed by combining items (asked with daily, weekly, and monthly frequency) from multiple validated questionnaires and other selected questions. Item reduction was conducted using VIF and exploratory FA. Adequacy tests were used to check the data distribution and sampling adequacy.

resultsAmong the daily and weekly questions, both VIF and FA identified redundancies in sleep-related items. Among the monthly questions, both approaches identified redundancies in stress-related items. However, the number of items suggested for reduction often differed: VIF suggested larger reductions than FA for daily questions but fewer reductions for weekly questions. Adequacy tests always confirmed that the structural detection was adequate for the considered items.

conclusionsAs expected, our analyses showed that VIF and FA produced both similar and different findings, suggesting that questionnaire designers should consider using multiple methods for item reduction. Our findings using both methods indicate that many questions, especially those related to sleep, are redundant, indicating that the considered lifestyle questionnaire can be shortened.

Indexed as

factor analysisfeedback measuresitem reductionmobile phonequestionnaire designsurveys and lifestyle questionnairesvariance inflation factor

Identifiers

PMID35302507
PMCPMC8976253
OpenAlexW4220879717

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.