Evidence map›Paper›PMID 36787266›Full record

ArticleInternational wound journal2023

Relationships among social support, coping style, self-stigma, and quality of life in patients with diabetic foot ulcer: A multicentre, cross-sectional study.

Ruzhen Luo, Yunan Ji, Yan-Hui Liu, Hongyu Sun, Siyuan Tang, Xuechun Li

Abstract readMulticenter Study
In one paragraph

Article in International wound journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 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

6 authors.

Ruzhen LuoXiangya Nursing School, Central South University, Changsha, China.
Yunan JiSchool of Nursing, Tianjin Hospital, Tianjin, China.
Yan-Hui LiuSchool of Nursing, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Hongyu SunSchool of Nursing, Peking University, Beijing, China.
Siyuan TangXiangya Nursing School, Central South University, Changsha, China.
Xuechun LiSchool of Nursing, Tianjin University of Traditional Chinese Medicine, Tianjin, China.

Funding

National Natural Science Foundation of China 72174012
6 · The paper itself

Abstract

Patients with diabetic foot ulcer have a significantly lower quality of life. Quality of life could be connected to other psychological or social processes. The purpose of this study was to examine the relationships between social support, decision regret, self-stigma, and quality of life in patients with diabetic foot ulcers. The sample of the study consisted of 229 diabetic foot ulcer patients. Data were collected from September 2019 to March 2020. The demographic and clinical information, the Stigma Scale for Chronic Illness, Medical Coping Scale, Social Support Scale, and Quality of Life scale were used to assess the quality life for diabetic foot ulcer. Pearson correlation coefficient and structural equation modelling were used for data analysis. The quality of life was negatively correlated with self-stigma, positively correlated with social support, giving up coping, and not significantly correlated with confrontation coping and avoidance coping. Self-stigma has significant indirect effects on quality of life through social support and coping style. Further clinical intervention strategies for decreasing self-stigma as well as strengthening social support and positive coping styles are needed to inform diabetic foot ulcer patients, thus improving their quality of life.

Indexed as

Diabetes MellitusDiabetic FootAdaptation, PsychologicalCross-Sectional StudiesHumansQuality of LifeSocial Supportcoping stylediabetic foot ulcerquality of lifeself-stigmasocial support

Identifiers

PMID36787266
PMCPMC9927899

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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.