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ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2024

A latent class analysis of family resilience and its relationship with fear of recurrence in lung cancer patients: a cross-sectional study.

Jialing Lin, Xiaoyan Yang, Qiuhong Chen, Anny Wang, Rachel Arbing, Wei-Ti Chen, Feifei Huang

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Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
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4citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Latent profile analysis and related factors for meaning in life among young and middle-aged cancer patients.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Article
4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Jialing LinSchool of Nursing, Fujian Medical University, No. 1 Xueyuan Road, Minhou Country, Fuzhou, 350108, Fujian, China.
Xiaoyan YangDepartment of Anesthesiology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.
Qiuhong ChenSchool of Nursing, Fujian Medical University, No. 1 Xueyuan Road, Minhou Country, Fuzhou, 350108, Fujian, China.
Anny WangSchool of Nursing, Fudan University, Shanghai, China.
Rachel ArbingSchool of Nursing, University of California, Los Angeles, CA, USA.
Wei-Ti ChenSchool of Nursing, University of California, Los Angeles, CA, USA.
Feifei HuangSchool of Nursing, Fujian Medical University, No. 1 Xueyuan Road, Minhou Country, Fuzhou, 350108, Fujian, China. pt860315@163.com.ORCID http://orcid.org/0000-0003-0197-8687

Funding

NIMH NIH HHS P30MH058107; PI: Shoptaw, Steven J.
6 · The paper itself

Abstract

purposeFamily resilience helps cancer-affected families overcome challenges and may influence an individual's fear of cancer recurrence (FCR). Identifying distinct classes of family resilience among lung cancer patients is crucial for tailored interventions. This study aimed to identify latent classes of family resilience in lung cancer patients and explore their relationships with FCR.

methodsThree hundred ten lung cancer patients from three hospitals in Fujian were recruited from June to September 2021. Clinical data were extracted from medical records, while sociodemographic details, family resilience, and FCR were self-reported. A latent class analysis was performed to identify family resilience classes.

resultsA 4-class solution showed the best fit. Compared to Class 1, the patients who had no comorbidities (ORs = 3.480-16.005) had an increased likelihood of belonging to Class 2 and 3, while those who were not family breadwinners (ORs = 0.118-0.176) had a decreased likelihood. Further, the patients who (1) did not lack interest/pleasure in doing things during the past 2-week period (OR = 7.057), (2) were never smokers (OR = 6.230), and (3) were urban residents (OR = 8.985) had an increased likelihood of belonging to Class 4, while those who were (1) male (OR = 0.167), (2) not the family breadwinner (OR = 0.152), and (3) had none or only one child (OR = 0.203) had a decreased likelihood of belonging to Class 4. The FCR level differed significantly among these four classes.

conclusionOur study identified four distinct classes of family resilience among Chinese lung cancer patients. FCR severity decreased with increasing levels of family resilience.

Indexed as

Lung NeoplasmsResilience, PsychologicalChildCross-Sectional StudiesFamily HealthFearHumansLatent Class AnalysisMaleFamily resilienceInfluencing factorsLatent class analysisLung neoplasmsSurvey

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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.