Evidence map›Paper›PMID 35099615›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2022

A latent class analysis of resilience and its relationship with depressive symptoms in the parents of children with cancer.

Yuanhui Luo, Anni Wang, Yue Zeng, Jingping Zhang

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Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

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9citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Yuanhui LuoXiangya School of Nursing, Central South University, No. 172, Tong-zi-po Road, Yue Lu District, Changsha, China. yuanhui3@csu.edu.cn.ORCID http://orcid.org/0000-0002-5510-4697
Anni WangSchool of Nursing, Fu Dan University, Shanghai, China.
Yue ZengDepartment of Social Work and Social Administration, The University of Hong Kong, Hong Kong SAR, China.
Jingping ZhangXiangya School of Nursing, Central South University, No. 172, Tong-zi-po Road, Yue Lu District, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDepressive symptoms are among the most common afflictions that plague the parents of children with cancer. Given that resilience is an important factor that inhibits the development and progression of depressive symptoms, it can be harnessed as a potential solution for this psychological issue. This study aimed to identify the latent classes of resilience in the parents of children with cancer and explore the relationships of these classes with depressive symptoms.

methodsThe study was conducted in three tertiary hospitals in mainland China. The parents of children (0-19 years old) with cancer were invited to participate in the study. We used standardised self-report questionnaires to collect data. A latent class analysis was performed to identify the classes of resilience in the parents of children with cancer.

resultsThe study recruited 258 participants. Four classes of resilience were identified, namely, good adaptation and optimism (24.9%), high strength and low control (12.1%), moderate resilience (37.3%), and maladaptation and low tenacity (25.6%). The mothers (OR = 3.48, P = 0.003) and parents with more than one child (OR = 2.73, P = 0.023) were more likely to belong to the maladaptation and low tenacity class. The depressive symptoms experienced by the participants differed significantly between the four classes of resilience (F = 30.80, P < 0.001).

conclusionTargeted interventions should be developed and implemented based on the characteristics of each class of resilience to maximise the effectiveness of interventions and thereby promote parental well-being.

Indexed as

NeoplasmsResilience, PsychologicalAdolescentAdultChildChild, PreschoolDepressionFemaleHumansInfantInfant, NewbornLatent Class AnalysisParentsSurveys and QuestionnairesYoung AdultCancerChildrenDepressionLatent class analysisParentsResilience

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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.