Evidence mapPaperPMID 41743932Full record

ArticlePatient preference and adherence2026

Fear of Complications Among Patients with Type 2 Diabetes: A Latent Profile Analysis.

Yuqing Liang, Ya'ning Yang, Xingruo Zhang, Lili Chen, Dan Su

Abstract read
In one paragraph

Article in Patient preference and adherence, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yuqing LiangSchool of Nursing, Anhui Medical University, Hefei, Anhui Province, 230032, People's Republic of China.
Ya'ning YangSchool of Nursing, Anhui Medical University, Hefei, Anhui Province, 230032, People's Republic of China.
Xingruo ZhangSchool of Nursing, Anhui Medical University, Hefei, Anhui Province, 230032, People's Republic of China.
Lili ChenSchool of Nursing, Anhui Medical University, Hefei, Anhui Province, 230032, People's Republic of China.
Dan SuSchool of Nursing, Anhui Medical University, Hefei, Anhui Province, 230032, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: This study aimed to identify latent profiles of fear of complications among hospitalized patients with type 2 diabetes and to examine factors associated with these profiles. Methods: A convenience sampling method was employed to recruit patients with type 2 diabetes from a single tertiary hospital endocrine department for a cross-sectional study. Data were collected using a general information questionnaire, Chinese version of the Fear of Complications Questionnaire, Diabetes Distress Scale, and EuroQol Five-Dimension Three-Level Scale. Latent profile analysis was performed to classify fear of complications, and group differences were examined using univariate analyses. Multinomial logistic regression was performed to explore potential associations between related factors and group classification. Results: A total of 324 valid questionnaires were collected. Individuals with fear of complications were categorized into three potential groups: low fear-stable (30%), moderate fear-complication-focused (47%), and high fear-high-risk vulnerable (23%). Multinomial logistic regression showed that, compared with the low fear-stable group, the presence of complications ( Conclusion: Fear of complications among patients with diabetes exhibits significant categorical characteristics. These profiles differ in diabetes distress and quality of life, highlighting the potential value of stratified psychosocial interventions and complication-focused educational programs. Routine screening for fear of complications using validated brief tools may help healthcare professionals identify high risk patients early and provide targeted care support, particularly for the high fear-high-risk vulnerable group. Future research should prioritize this population and develop scientifically effective and targeted intervention programs.

Indexed as

diabetes distressfear of complicationslatent profile analysisquality of life

Identifiers

PMID41743932
PMCPMC12929205

What Socratic holds

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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 Socratic graph.