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Patterns of health‐promoting behaviors and associated factors in family caregivers of people receiving cancer treatment: A latent class profile analysis

Elisa H Son, Gwenyth R. Wallen, Sharon Flynn, Li Yang, Lena J. Lee

2023Psycho-Oncology10 citationsDOIOpen Access PDF

Abstract

OBJECTIVE: Family caregivers tend to neglect their health while prioritizing the needs of their care recipients. Identifying subgroups of caregivers based on the patterns of health-promoting behaviors (HPBs) may help develop tailored interventions for them, yet little is known. The purpose of this study was: (1) to identify latent classes with distinct patterns of HPBs in family caregivers of people with cancer; and (2) to investigate factors associated with the latent class membership. METHODS: We performed a cross-sectional data analysis using the baseline dataset from a longitudinal survey study that assessed HPBs of family caregivers of individuals who received cancer treatment at a national research hospital (N = 124). Latent class profile analysis was conducted to identify latent classes based on the subdomains of the Health-Promoting Lifestyle Profile II, followed by multinomial logistic regression analysis to investigate factors associated with the latent class membership. RESULTS: Three latent classes were identified: a high level of HPB (Class 1, 25.8%); a moderate level of HPB (Class 2, 53.2%); and a low level of HPB (Class 3, 21.0%) of HPBs. Controlling for caregiver age and sex, caregiver burden due to lack of family support, perceived stress, self-efficacy and body mass index were factors associated with the latent class membership. CONCLUSIONS: HPBs of our caregiver sample appeared in relatively stable patterns at different levels. Higher caregiver burden and perceived stress and lower self-efficacy were associated with the lower practice of HPBs overall. Our findings may serve as a reference for screening caregivers who need support and developing person-centered interventions.

Topics & Concepts

Latent class modelMultinomial logistic regressionPsychological interventionFamily caregiversLogistic regressionHealth Information National Trends SurveyMedicinePsychologyGerontologyClinical psychologyHealth carePsychiatryMachine learningHealth informationComputer scienceEconomicsMathematicsInternal medicineEconomic growthStatisticsCancer survivorship and careChildhood Cancer Survivors' Quality of LifeHealth and Wellbeing Research