Evidence map›Paper›PMID 40741042›Full record

ArticleAsia-Pacific journal of oncology nursing2025

Attitudes toward seeking professional psychological help among patients with colorectal cancer: A latent profile analysis.

Min Hu, Tingting A, Xinxin Zhang, Xinxin Huang, Qingqiu Wu, Tingting Wei, Beibei Song, Shaohua Hu

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Article in Asia-Pacific journal of oncology nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Min HuSchool of Nursing, Anhui Medical University, Hefei, China.
Tingting ASchool of Nursing, Anhui Medical University, Hefei, China.
Xinxin ZhangSchool of Nursing, Anhui Medical University, Hefei, China.
Xinxin HuangSchool of Nursing, Anhui Medical University, Hefei, China.
Qingqiu WuSchool of Nursing, Anhui Medical University, Hefei, China.
Tingting WeiNursing Department, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Beibei SongNursing Department, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Shaohua HuNursing Department, The First Affiliated Hospital of Anhui Medical University, Hefei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to explore the attitudes of patients with colorectal cancer (CRC) toward seeking professional psychological help and to identify latent profiles and associated influencing factors. Methods: A total of 236 patients with CRC were recruited through convenience sampling. Participants completed validated instruments assessing attitudes toward seeking professional psychological help, mental health literacy, and stigma related to psychological help-seeking. Latent profile analysis was conducted to identify distinct subgroups. Results: Attitudes scores were moderate to low, with three profiles identified: "negative attitudes-high independence" (26.6%), "general attitudes" (51.8%), and "positive attitudes-high affirmation" (21.6%). Multivariate analysis revealed that age, mental health literacy, and stigma were significant predictors of subgroup membership. Conclusions: The findings reveal significant heterogeneity in attitudes toward psychological help-seeking among patients with CRC. Medical staff should tailor interventions to patient subgroups, particularly older individuals and those with low mental health literacy or high perceived stigma, to improve access to psychological care. This study offers evidence-based guidance for developing targeted mental health interventions in oncology care.

Indexed as

Attitudes toward seeking professional psychological helpColorectal cancerLatent profile analysisMental health literacyOncology nursingStigma for seeking professional psychological help

Identifiers

PMID40741042
PMCPMC12308003

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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.