Latent profile analysis of family adaptation in breast cancer patients-cross-sectional study

被引:2
|
作者
Ding, Zhangyi [1 ]
Fan, Yarong [3 ]
Li, Enguang [1 ]
Ai, Fangzhu [1 ]
Cui, Huixia [2 ]
机构
[1] Jinzhou Med Univ, Sch Nursing, 40,Sect 3,Songpo Rd, Jinzhou 121000, Liaoning, Peoples R China
[2] Wannan Med Coll, Sch Nursing, Wenchang West Rd,Wuhu Higher Educ Pk, Wuhu 241002, Anhui, Peoples R China
[3] Shanxi Med Univ, Sch Nursing, 56 Xinjian South Rd, Taiyuan 030000, Shanxi, Peoples R China
来源
SCIENTIFIC REPORTS | 2024年 / 14卷 / 01期
关键词
Latent profile analysis; Family adaptation; Breast cancer; Family stress coping theory; Benefit finding; Dyadic coping; Perception stress; CHINA; INTERVENTION; CHILDREN; GROWTH; HEALTH;
D O I
10.1038/s41598-024-72410-2
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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".
引用
收藏
页数:13
相关论文
共 50 条
  • [21] Latent profile analysis of mental workload among emergency department nurses: a cross-sectional study
    Hao, Xiaoyan
    Dai, Yueguang
    Jia, Shengjie
    Liu, Shuqin
    Zhao, Chunling
    Liu, Xiaomin
    BMC NURSING, 2025, 24 (01):
  • [22] Characteristics and influencing factors of posttraumatic growth in young and middle-aged cancer patients: A cross-sectional latent profile analysis
    Wang, Shuman
    Ge, Rong
    Xu, Wenjie
    Zheng, Mimi
    Xiang, Lina
    Zhu, Yu
    Wan, Hongwei
    JOURNAL OF HEALTH PSYCHOLOGY, 2024,
  • [23] Family Peace and Affecting Factors in Family Caregivers of Patients With Cancer: A Cross-Sectional Study
    Sahin, Furkan
    Sahin, Fatma Sinem
    Ozkaraman, Ayse
    JOURNAL OF PALLIATIVE CARE, 2025, 40 (01) : 28 - 40
  • [24] Association among cognitive emotion regulation strategies, psychological flexibility and subjective well-being in patients with breast cancer: a cross-sectional latent profile and mediation analysis
    Zheng, Xiaoting
    Xie, Yaqian
    Huang, Yongqi
    Tian, Xia
    Xiao, Jinnan
    Xiao, Wenli
    SUPPORTIVE CARE IN CANCER, 2025, 33 (03)
  • [25] Histopathological profile of breast cancer at a tertiary hospital in Malawi: A retrospective cross-sectional study
    Kayira, Alfred
    Chisale, Master R. O.
    Sinyiza, Frank W.
    Chimbatata, Chikondi S.
    Kaseka, Paul U.
    Kamudumuli, Pocha S.
    Wu, Joseph
    Mbakaya, Balwani C.
    AFRICAN JOURNAL OF REPRODUCTIVE HEALTH, 2021, 25 (01): : 76 - 80
  • [26] Association of lipid profile with obesity among breast cancer survivors: a cross-sectional study
    Akinkunmi Paul Okekunle
    Ga-Eun Yie
    Sihan Song
    Zisun Kim
    Hyun Jo Youn
    Jihyoung Cho
    Jun Won Min
    Yoo Seok Kim
    Jung Eun Lee
    Lipids in Health and Disease, 21
  • [27] Association of lipid profile with obesity among breast cancer survivors: a cross-sectional study
    Okekunle, Akinkunmi Paul
    Yie, Ga-Eun
    Song, Sihan
    Kim, Zisun
    Youn, Hyun Jo
    Cho, Jihyoung
    Min, Jun Won
    Kim, Yoo Seok
    Lee, Jung Eun
    LIPIDS IN HEALTH AND DISEASE, 2022, 21 (01)
  • [28] Relationship between sense of coherence and subjective well-being among family caregivers of breast cancer patients: a latent profile analysis
    Wang, Hui
    Wu, Yuxia
    Huang, Xuefang
    Yan, Haiou
    FRONTIERS IN PSYCHIATRY, 2025, 15
  • [29] A study of latent profile analysis of empathic competence and factors influencing it in nursing interns: a multicenter cross-sectional study
    Wang, Jia
    Xu, Xiaoqing
    Sun, Jiaxin
    Ma, Yujia
    Tang, Peijuan
    Chang, Wenzhong
    Chen, Xia
    Cui, Yajuan
    Su, Mei
    He, Yan
    FRONTIERS IN PUBLIC HEALTH, 2024, 12
  • [30] Association between stigma and sleep quality in patients with breast cancer: A latent profile and mediation analysis
    Li, Shuhan
    Wang, Xinqin
    Wang, Minyi
    Jiang, Yingting
    Mai, Qingxin
    Wu, Jiahua
    Ye, Zengjie
    EUROPEAN JOURNAL OF ONCOLOGY NURSING, 2023, 67