Evidence map›Paper›PMID 38594463›Full record

ArticleClinical rheumatology2024

Latent class analysis of psychological resilience and influencing factors in patients with rheumatoid arthritis: a cross-sectional survey.

Jian Zhou, Yuqin Gan, Xinxin Fan, Hong Qi, Yuqiong Cao, Zongting Luo

Abstract read
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Article in Clinical rheumatology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.9field-weighted citation impact, top 16% 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 3 citations in OpenAlex.

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4 · The record

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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 at 4 institutions in 1 country.

Jian ZhouDepartment of Orthopedics, School of Clinical Medicine & The First Affiliated Hospital of Chengdu Medical College, Chengdu, China.
Yuqin GanSchool of Nursing, Chengdu Medical College, Chengdu, China.
Xinxin FanSchool of Nursing, Chengdu Medical College, Chengdu, China.
Hong QiDepartment of Orthopedics, School of Clinical Medicine & The First Affiliated Hospital of Chengdu Medical College, Chengdu, China.
Yuqiong CaoDepartment of Rheumatology and Immunology, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu, China. fsmy2023jj@139.com.
Zongting LuoDepartment of Nursing, The Third People's Hospital of Chengdu & The Affiliated Hospital of Southwest Jiaotong University, Chengdu, China. lola2022@foxmail.com.ORCID http://orcid.org/0009-0004-1523-1335
Chengdu Medical College · CNFirst Affiliated Hospital of Chengdu Medical College · CNSichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital · CNThird People's Hospital of Chengdu · CN

Funding

the Nursing Research Project of Sichuan Province H19006/H23063
6 · The paper itself

Abstract

objectivesTo investigate the latent class of psychological resilience in patients with rheumatoid arthritis (RA) and examine the factors influencing various latent types.

methodsA cross-sectional survey design was used in this study. A total of 480 patients with RA were enrolled from two tertiary care institutions in Chengdu, Sichuan Province, between May and November 2023, using the convenience sample approach. The General Information Questionnaire, CD-RISC-10, SSRS, ASES-8, and BRAF-MDQ were used to analyze the latent classes of psychological resilience in the respondents, and the factors influencing the latent classes were explored using one-way analysis of variance, analysis of variance, and multi-categorical logistic regression analysis.

resultsOverall, 423 valid questionnaires were returned, indicating an 88.13% effective return rate. A latent class analysis revealed that RA patients were divided into three classes of psychological resilience: low-level (20.3%), moderate-level (31.0%), and high-level (48.7%) psychological resilience. A multi-categorical logistic regression analysis found that social support, self-efficacy, weariness, age, work status, and somatic pain all significantly influenced psychological resilience in RA patients.

conclusionThree classes of RA patients' psychological resilience were identified by this study, and these classes were strongly correlated with individual treatment components. It is crucial to take into account the psychological resiliency of female RA patients who do not have a job. In order to improve psychological resilience, healthcare staff should first increase their comprehension of treat-to-target. Furthermore, people with RA may become more psychologically resilient if they receive more social support. Key Points • Preliminary research found that psychological resilience in RA patients was associated with three latent classes. • In RA patients, psychological resilience was significantly influenced by self-efficacy, fatigue, age, work status, physical pain, and social support. • The fundamental goal of bolstering RA patients' psychological resilience is to reaffirm their place in the treatment process, for example, by improving patient compliance and achieving treat-to-target earlier.

Indexed as

Arthritis, RheumatoidLatent Class AnalysisResilience, PsychologicalSelf EfficacySocial SupportAdultAgedChinaCross-Sectional StudiesFemaleHumansLogistic ModelsMaleMiddle AgedSurveys and QuestionnairesLatent class analysisPsychological resilienceRheumatoid arthritisSelf-efficacy

Identifiers

PMID38594463
OpenAlexW4394692866

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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.