Evidence map›Paper›PMID 33598735›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2021

Predictive model of psychological distress in family caregivers of patients with cancer: a cross-sectional study.

Xiao-Qing Lv, Jing-Jing Liu, Yuan Feng, Shu-Wen Li, Huan Qiu, Jing-Fang Hong

Abstract read
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Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 23% of its field
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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Effects of motivational music on sleep quality for caregivers of patients with advanced cancer: a randomized controlled trial.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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  3. Observational
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  7. Reply to: "Psychosocial symptoms associated with spiritual well‑being in Latino patients and caregivers coping with advanced cancer".Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
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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 at 1 institution in 1 country.

Xiao-Qing LvSchool of Nursing, Anhui Medical University, No. 69 Mei Shan Road, Shu Shan District, Hefei City, 230032, Anhui Province, People's Republic of China.
Jing-Jing LiuSchool of Nursing, Anhui Medical University, No. 69 Mei Shan Road, Shu Shan District, Hefei City, 230032, Anhui Province, People's Republic of China.
Yuan FengSchool of Nursing, Anhui Medical University, No. 69 Mei Shan Road, Shu Shan District, Hefei City, 230032, Anhui Province, People's Republic of China.
Shu-Wen LiSchool of Nursing, Anhui Medical University, No. 69 Mei Shan Road, Shu Shan District, Hefei City, 230032, Anhui Province, People's Republic of China.
Huan QiuSchool of Nursing, Anhui Medical University, No. 69 Mei Shan Road, Shu Shan District, Hefei City, 230032, Anhui Province, People's Republic of China.
Jing-Fang HongSchool of Nursing, Anhui Medical University, No. 69 Mei Shan Road, Shu Shan District, Hefei City, 230032, Anhui Province, People's Republic of China. hongjingfang@ahmu.edu.cn.
Anhui Medical University · CN

Funding

National Natural Science Foundation of China 81101750National Natural Science Foundation of China 81573017
6 · The paper itself

Abstract

purposeTo examine a predictive theoretical model of psychological distress based on the following variables reflected on family caregivers of patients with cancer: the unmet supportive care needs, subjective caregiving burden, social support, and the positive aspects of caregiving.

methodsA cross-sectional descriptive study was conducted on a sample of 484 dyads of patients and their family caregivers. The caregivers completed structured questionnaires designed to measure psychological distress, unmet supportive care needs, subjective caregiving burden, positive aspects of caregiving, and social support. Patients' demographic variables and medical data were collected from a medical record review. We used a structural equation modeling to test the predictive theoretical model.

resultsPath analysis results partially supported the proposed model with satisfactory fit indices. Specifically, family caregivers with an increasing number of unmet needs or a heavier caregiving burden were more likely to have more severe psychological distress. Bootstrapping results supported that the caregiving burden and social support were significant mediators. Greater unmet supportive care needs predicted higher psychological distress through increasing caregiving burden. Stronger social support predicted lower psychological distress through decreasing caregiving burden. Positive aspects of caregiving predicted lower caregiving burden through the increasing perceived social support, which in turn eliminated psychological distress.

conclusionsUnmet supportive care needs could cause psychological distress through increasing caregiving burden. The positive aspects of caregiving reduced caregiving burden through increasing social support, which subsequently alleviated psychological distress. Interventions that aim to satisfy supportive care needs, to reduce caregiving burden, and to strengthen social support ties may boost the mental health of family caregivers.

Indexed as

CaregiversNeoplasmsPsychological DistressCost of IllnessCross-Sectional StudiesFamilyHumansSocial SupportStress, PsychologicalSurveys and QuestionnairesCancer caregiversCaregiving burdenDistressPositive aspects of caregivingSocial support

Identifiers

PMID33598735
OpenAlexW3131906116

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.