Evidence map›Paper›PMID 39351017›Full record

ArticleAsia-Pacific journal of oncology nursing2024

Dyadic effects of perceived stress, relationship satisfaction and distress disclosure on emotional distress in colorectal cancer patients and their family caregivers: An actor-partner interdependence mediation model.

Yanfei Jin, Xuying Li, Hongwen Ma, Lina Xiong, Mengshu Zhao, Honghong Wang

Abstract read
In one paragraph

Article in Asia-Pacific journal of oncology nursing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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.

Yanfei JinSchool of Nursing Nanjing Medical University, Nanjing, China.
Xuying LiHunan Cancer Hospital & The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China.
Hongwen MaTianjin People's Hospital, Tianjin, China.
Lina XiongThe First Affiliated Hospital of Nanchang University, Nanchang, China.
Mengshu ZhaoTianjin People's Hospital, Tianjin, China.
Honghong WangXiangya School of Nursing of Central South University, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study adopted a dyadic analysis method to examine the effect of perceived stress on emotional distress and determine whether relationship satisfaction and distress disclosure act as mediators in colorectal cancer (CRC) enterostomy patient-caregiver dyads. Methods: A total of 312 patient-caregiver dyads completed measures assessing perceived stress, relationship satisfaction, distress disclosure, and emotional distress. The data were analyzed using the actor-partner interdependence mediation model. Results: This study found that the perceived stress of patients and caregivers both had direct and indirect actor effects on emotional distress (through relationship satisfaction). Another important finding is that perceived stress had indirect actor-partner effects (through distress disclosure) on emotional distress. Conclusions: This study highlights that perceived stress, relationship satisfaction, and distress disclosure of patients and their caregivers are key factors that can be considered for improving emotional distress. It also partially confirmed the interdependence of patients with CRC and their caregivers.

Indexed as

CaregiversColorectal NeoplasmsEmotionsInterpersonal RelationsModels, PsychologicalSelf Disclosure

Identifiers

PMID39351017
PMCPMC11440261

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.