Evidence map›Paper›PMID 31941476›Full record

ArticleBMC psychiatry2020

Mediation and moderation analyses: exploring the complex pathways between hope and quality of life among patients with schizophrenia.

Wei-Liang Wang, Yu-Qiu Zhou, Nan-Nan Chai, Guo-Hua Li, Dong-Wei Liu

Erratum issuedAbstract read
In one paragraph

Article in BMC psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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

14 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Wei-Liang WangSchool of Nursing, Harbin Medical University (Daqing), Daqing, Heilongjiang, China.
Yu-Qiu ZhouSchool of Nursing, Harbin Medical University (Daqing), Daqing, Heilongjiang, China. hmuhlxy@163.com.
Nan-Nan ChaiSchool of Nursing, Chifeng University, Chifeng, the Autonomous Region, China.
Guo-Hua LiChifeng Anding Hospital, Chifeng, the Autonomous Region, China.
Dong-Wei LiuSchool of Nursing, Harbin Medical University (Daqing), Daqing, Heilongjiang, China.

Funding

National Natural Science Foundation of China 71673070
6 · The paper itself

Abstract

backgroundThe underlying mechanism between hope and quality of life is as yet unknown. We aim to examine the potential mediating effect of depression and resilience and the moderated effect of sex in this well-established association.

methodsTwo hundred seven patients diagnosed with schizophrenia were administered a questionnaire battery that measured hope, depression, resilience and QOL. A multiple mediation model was used to examine the mediating effect of resilience and depression on the association between hope and QOL. A subgroup analysis was performed and a moderated mediation model was examined to find and test the moderated effect of sex on the mediation model. We used Mplus to perform moderation and mediation analyses so that the mediators and moderator could function together in the same model.

resultSex was the moderator on the direct path between hope and QOL. The relationship between hope and QOL was mediated by resilience and depression in both sexes. When compared with female patients, the effect of hope on QOL was completely mediated by resilience and depression in males. In female patients, the model was partially mediated, and the direct effect of hope on QOL was significantly negatively correlated with the level of hope.

conclusionWe present a conceptual model containing the mediated effects of resilience and depression and the moderated effect of sex between hope and QOL, which we believe facilitates the understanding of these associations. This model should be useful in the formulation of strategies to improve QOL.

Indexed as

Resilience, PsychologicalSchizophreniaDepressionFemaleHopeHumansMaleQuality of LifeSurveys and QuestionnairesDepressionHopeModerated mediationQuality of lifeResilienceSchizophrenia

Identifiers

PMID31941476
PMCPMC6964047

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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.