Evidence map›Paper›PMID 37312650›Full record

ArticleNursing open2023

Predicting physical activity and sarcopenia-related health outcomes in women with rheumatoid arthritis: A test of the self-determination theory.

Chun-Ja Kim, Hye-Won Yun, Hee Sun Kang, Ju-Yang Jung, Elizabeth A Schlenk

Abstract read
In one paragraph

Article in Nursing open, 2023. 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. Review
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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, South Korea.ORCID 0000-0002-7594-5418
Hye-Won YunDepartment of Nursing, Catholic Sangji College, Andong, South Korea.
Hee Sun KangRed Cross College of Nursing, Chung-Ang University, Seoul, South Korea.ORCID 0000-0003-3808-306X
Ju-Yang JungDepartment of Rheumatology, Ajou University School of Medicine, Suwon, South Korea.
Elizabeth A SchlenkSchool of Nursing, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0001-7361-1951

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThis study aimed to examine a hypothetical model of physical activity (PA) and health outcomes related to sarcopenia in women with rheumatoid arthritis (RA) based on self-determination theory.

designCross-sectional study.

methodsThis study included 214 women diagnosed with RA from the outpatient rheumatology department of a university-affiliated hospital in South Korea. Data were collected from September 2019 to August 2020 through structured questionnaires and anthropometric measurements and analysed using path analysis to test the hypothesized model. The primary health outcomes were perceived health status and sarcopenia-related health (thigh circumference, handgrip strength and sarcopenia risk).

resultsThe final model's fit indices were adequate. Physical activity was directly affected by motivation for PA, while depression, self-efficacy for PA, health care provider's autonomy support and basic psychological needs satisfaction indirectly affected PA. Physical activity directly affected perceived health status and thigh circumference, while perceived sarcopenia risk and handgrip strength were directly affected by disease activity and age. PATIENT OR PUBLIC CONTRIBUTION: Patients were involved in a questionnaire-based survey.

Indexed as

Arthritis, RheumatoidSarcopeniaCross-Sectional StudiesExerciseFemaleHand StrengthHumansOutcome Assessment, Health Caredepressionnursingphysical activityrheumatoid arthritissarcopeniaself-determination

Identifiers

PMID37312650
PMCPMC10416004

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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.