Evidence map›Paper›PMID 32587744›Full record

ArticleNursing open2020

Predicting physical activity and cardiovascular risk and quality of life in adults with osteoarthritis at risk for metabolic syndrome: A test of the information-motivation-behavioral skills model.

Chun-Ja Kim, Hee Sun Kang, Jung Suk Kim, Ye Yeon Won, Elizabeth A Schlenk

Abstract read
In one paragraph

Article in Nursing open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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.

Chun-Ja KimCollege of Nursing and Research Institute of Nursing Science Ajou University Suwon Korea.ORCID 0000-0002-7594-5418
Hee Sun KangRed Cross College of Nursing Chung-Ang University Seoul Korea.ORCID 0000-0003-3808-306X
Jung Suk KimCollege of Nursing and Research Institute of Nursing Science Ajou University Suwon Korea.
Ye Yeon WonDepartment of Orthopedic Surgery School of Medicine and Graduate School of Medicine Ajou University Suwon Korea.ORCID 0000-0002-1880-4336
Elizabeth A SchlenkUniversity of Pittsburgh School of Nursing Pittsburgh PA USA.ORCID 0000-0001-7361-1951

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: To examine a hypothetical model of physical activity and health outcomes (cardiovascular risk and quality of life) based on the information-motivation-behavioural skills model in adults. Design: A cross-sectional survey. Methods: A total of 165 adults with osteoarthritis at risk for metabolic syndrome were recruited between October 2016 and September 2017 from the outpatient clinic in South Korea. Data were collected on the model constructs such as cognitive function, social support, depressive symptoms, barriers to self-efficacy, physical activity and quality of life. A hypothetical model was tested using the AMOS 25.0 program. Results: Cognitive function and barriers to self-efficacy had a direct effect on physical activity. Physical activity had a direct effect on cardiovascular risk, while social support and depressive symptoms had a direct effect on quality of life. Conclusions: The information-motivation-behavioural skills model can predict physical activity and, in turn, cardiovascular risk and quality of life in adults with osteoarthritis at risk for metabolic syndrome.

Indexed as

Cardiovascular DiseasesMetabolic SyndromeOsteoarthritisCross-Sectional StudiesExerciseHeart Disease Risk FactorsHumansMotivationQuality of LifeRepublic of KoreaRisk Factorscardiovascular diseasesdepressionmetabolic syndromeosteoarthritisphysical activityquality of lifeself‐efficacysocial support

Identifiers

PMID32587744
PMCPMC7308683

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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.