ArticleScientific reports2024
Latent profile analysis of family adaptation in breast cancer patients-cross-sectional study.
Article in Scientific reports, 2024. 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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Who cites it
9 citing papers in PubMed.
- Effects of occupational therapy in return-to-family intervention on upper limb, shoulder function, and role function in breast cancer patients: a multicenter randomized controlled trial.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025Trial
- Dyadic Coping and Illness Uncertainty in Cancer Patient-Caregiver Dyads: Interactive Mechanisms, Heterogeneity, and Integrated Intervention Directions-A Narrative Review (2021-2025).Healthcare (Basel, Switzerland) · 2026Review
- Illness uncertainty in individuals with gynecologic and breast cancer: A latent profile analysis and structural equation modeling.PloS one · 2026Article
- Latent profile analysis of medication adherence in lower extremity deep venous thrombosis-cross-sectional study.PloS one · 2026Article
- Heterogeneity in benefit finding among breast cancer patients: a latent profile analysis and influencing factors.Frontiers in oncology · 2026Article
- Latent profile analysis and influencing factors of post-traumatic stress disorder symptoms in young and middle-aged spinal cord injury patients.BMC psychiatry · 2025Article
- A chain mediation model of parent child relationship and academic burnout of adolescents.Scientific reports · 2025Article
- A dyadic analysis of family adaptation among breast cancer patients and their spouses based on the framework of family stress coping theory.Frontiers in public health · 2024Article
- Psychological abuse and its influencing factors among home-dwelling older people in Northern China: a cross-sectional survey.Frontiers in medicine · 2024Article
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5 authors.
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Abstract
When individuals face life pressure or significant family changes, individuals with better family adaptation can better survive the crisis. Although the influencing factors of family adaptation have been investigated, the application of potential profile analysis has yet to be found. This analytical approach can reveal different potential categories of family adaptation, providing new perspectives for theoretical development and interventions. This study used latent profile analysis to explore family adaptation levels in breast cancer patients and identify different latent categories, examining their characteristic differences. A cross-sectional study was conducted in Jinzhou, China, from July 2023 to March 2024. The questionnaire included Sociodemographic and clinical characteristics, Benefit Finding Scale (BFS), Dyadic Coping Scale (DCI), Chinese Perceived Stress Scales (PSS), and Family adaptability and cohesion evaluation scales (FACES). Mplus8.3 and SPSS26.0 software were used for data analysis. The latent profile analysis (LPA) method was used to fit the family adaptations of breast cancer patients. Three latent categories of family adaptation were identified: low-level family adaptation (21.5%), medium level family adaptation (47.8%), and high-level family adaptation (30.6%). All 14 items with high levels of family adaptation scored higher than the other two groups. In particular, out of all the categories, item 9, "The idea of educating children is sound," scored highest. Compared with the low-level group, the influential factors of family adaptation in the high-level group were BFS, DCI, PSS, relapse and personal monthly income; The factors influencing family adaptation at the middle level are DCI, BFS, breast cancer type, family history of breast cancer, and personal monthly income. Compared with the medium level group, PSS and DCI were the influential factors of family adaptation in the high-level group. Family adaptation in breast cancer patients can be divided into three categories: low-level, medium-level, and high-level. There were significant differences among different categories of family adaptation levels in "personal monthly income", "family history of breast cancer", "type of breast cancer", "recurrence", "dyadic coping", "benefit finding", and "perception stress".
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