Evidence map›Paper›PMID 38780552›Full record

ArticleHealth psychology : official journal of the Division of Health Psychology, American Psychological Association2024

Predicting physical activity by the personality styles of the five-factor model.

Alexander Weiss, Paul T Costa, Katherine A Collins, Leanna M Ross, Kim M Huffman, Ruth Q Wolever, Patrick J Smith, Elizabeth R Hauser, Rong Jiang, John M Jakicic and 2 more

Abstract read
In one paragraph

Article in Health psychology : official journal of the Division of Health Psychology, American Psychological Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Alexander WeissDepartment of Psychology, School of Philosophy, Psychology, and Language Sciences, University of Edinburgh.
Paul T CostaDivision of Geriatrics, Department of Medicine, Duke University School of Medicine.ORCID 0000-0003-4375-1712
Katherine A CollinsDuke Molecular Physiology Institute, Duke University School of Medicine.
Leanna M RossDuke Molecular Physiology Institute, Duke University School of Medicine.
Kim M HuffmanDuke Molecular Physiology Institute, Duke University School of Medicine.
Ruth Q WoleverDepartment of Physical Medicine and Rehabilitation, Vanderbilt University Medical Center.
Patrick J SmithDepartment of Psychiatry and Behavioral Sciences, Duke University School of Medicine.
Elizabeth R HauserDuke Molecular Physiology Institute, Duke University School of Medicine.ORCID 0000-0003-0367-9189
Rong JiangDepartment of Psychiatry and Behavioral Sciences, Duke University School of Medicine.
John M JakicicDivision of Physical Activity and Weight Management, Department of Internal Medicine, University of Kansas Medical Center.
William E KrausDuke Molecular Physiology Institute, Duke University School of Medicine.
Ilene C SieglerDepartment of Psychiatry and Behavioral Sciences, Duke University School of Medicine.

Funding

longitudinal assessment of stress and stress-related concepts across a behavioral weight loss interventionP20GM144269 · NIGMS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI Andrew Lutkewitte, John P Thyfault · 2022 to 2026
$14.9M
SURVEILLANCE AND ANALYSIS OF THE UNC ALUMNI HEART STUDYR01HL055356 · NHLBI · DUKE UNIVERSITY · PI SIEGLER, ILENE C · 1996 to 2004
$2.6M
Basic Research in Personality: Molecular Genetics of PersonalityZ01AG000196 · NIA · NATIONAL INSTITUTE ON AGING · PI COSTA, PAUL · 2008 to 2008
$242k
Intramural NIH HHS Z01 AG000196National Institutes of Health; National Heart, Lung, and Blood InstituteNational Institutes of Health; National Institute on AgingNHLBI NIH HHS R01 HL055356NIGMS NIH HHS P20 GM144269
6 · The paper itself

Abstract

objectiveLow neuroticism, high extraversion, and high conscientiousness are related to physical activity (PA). We tested whether the small size and heterogeneity of these relationships result because personality traits influence one another as well as because some narrow facets rather than the broad domains contain more specific variance relevant to PA.

methodParticipants were men and women enrolled in the University of North Carolina Alumni Heart Study who completed the Revised NEO Personality Inventory (NEO-PI-R) and reported their past month's average activity on an 8-point scale. In Study 1, we examined prospective correlations between the five NEO-PI-R domains and PA. In Studies 2 and 3, we used multinomial logistic regression to examine associations between PA and trait pair combinations (personality styles) controlling for age, sex, educational achievement, relationship status, and depression.

resultsStudy 1 revealed that lower neuroticism (N) and agreeableness (A) and higher conscientiousness (C) predicted more PA. Taken together, Studies 2 and 3 found that the combination of high Extraversion (E) and high openness (O) was related to higher PA and that combinations of low E and high A and low E and low C were related to lower PA. Study 3, which examined the activity facet of E (E4), found that E4 is an important driver of E-PA associations.

conclusionsPersonality traits do not operate in isolation. They may influence how other traits are expressed and such nonadditive effects can impact PA. Assessment of personality styles could help to identify individuals at risk for PA avoidance and may be useful for developing personalized interventions. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Indexed as

ExercisePersonalityPersonality InventoryAdultAgedExtraversion, PsychologicalFemaleHumansMaleMiddle AgedNeuroticismProspective Studies

Identifiers

PMID38780552
PMCPMC11870647

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Registered trials

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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.