Evidence map›Paper›PMID 40211097›Full record

ArticleNursing open2025

Patterns of Psychological Distress of Chinese Elderly Cancer Patients: A Latent Profile Analysis.

Danyu Li, Zhuting Zheng, Qingmei Huang, Wen Zhang, Pengwei Hu, Changrong Yuan, Fulei Wu

Abstract read
In one paragraph

Article in Nursing open, 2025. 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
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Danyu LiSchool of Nursing, Fudan University, Shanghai, China.ORCID 0000-0002-7118-7023
Zhuting ZhengSchool of Nursing, Fudan University, Shanghai, China.
Qingmei HuangSchool of Nursing, Fudan University, Shanghai, China.
Wen ZhangSchool of Nursing, Fudan University, Shanghai, China.
Pengwei HuDepartment of Health Service Training, Naval Medical University, Shanghai, China.
Changrong YuanSchool of Nursing, Fudan University, Shanghai, China.ORCID 0000-0001-8480-2569
Fulei WuSchool of Nursing, Fudan University, Shanghai, China.ORCID 0009-0009-7455-400X

Funding

National Natural Science Foundation of China 72104055
6 · The paper itself

Abstract

aimTo identify the group patterns of psychological distress and its predictors among Chinese elderly cancer patients. To examine the effect of profile on patients' Quality of Life (QOL).

designThis was a cross-sectional study conducted in accordance with the STROBE guidelines.

methodsThis study included 357 patients with cancer aged ≥ 60 years. Latent Profile Analysis (LPA) was used to analyse psychological distress collected using the Patient-reported Outcome Measurement Information System (PROMIS) Anxiety Short Form 8a and Depression Short Form 8a. Univariate analysis and univariate multinormal logistic regression were used to examine the correlates of latent membership. Kruskal-Wallis H test was used to assess profile differences in self-reported QOL.

resultsThe best fit was a three-profile solution: low psychological distress (34.7%), moderate psychological distress (35.6%) and high psychological distress (29.7%). Patients in the moderate psychological profile were more likely to be female, have religious relief, not be in marriage, have financial burden, and be under treatment; they were less likely to be diagnosed with gynaecological cancer and breast cancer. Patients in the high psychological profile were more likely to be older, female, have a high school or above educational background, have religious relief, live in the country, be retired, have no knowledge about the disease, be unaware of tumour metastasis, have no tumour metastasis, be under treatment, and have complications; they were less likely to be diagnosed with colorectal cancer and gynaecological cancer. Different psychological distress profiles were associated with QOL, with the low distress group reporting significantly higher QOL. PATIENT OR PUBLIC CONTRIBUTION: Chinese elderly cancer patients who met the inclusion criteria completed the questionnaires.

Indexed as

NeoplasmsPsychological DistressQuality of LifeStress, PsychologicalAgedAged, 80 and overChinaCross-Sectional StudiesEast Asian PeopleFemaleHumansMaleMiddle AgedSurveys and Questionnairesanxietydepressionlatent profile analysisolder cancer adultspsychological distressquality of life

Identifiers

PMID40211097
PMCPMC11985321

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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.