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Latent profiles of parenting concerns and influencing factors among Chinese breast cancer mothers: a mixed-methods study.

Created on 17 May 2026

Authors

Yu-Han Zhang, Qin Xu, Zi-Yi Cao, Man Ding, Zhu-Zhu Wang, Jing-Fang Hong

Published in

European journal of oncology nursing : the official journal of European Oncology Nursing Society. Volume 82. Pages 103209. May 15, 2026. Epub May 15, 2026.

Abstract

This study aimed to identify latent profiles of parenting concerns among Chinese mothers with breast cancer and explore associated influencing factors using a mixed-methods approach.
An explanatory sequential mixed-methods design was employed. A convenience sample of 240 mothers with breast cancer raising minor children was recruited from a tertiary hospital in Anhui Province, China, between October 2024 and July 2025. Parenting concerns were assessed using the Parenting Concerns Questionnaire. Latent profile analysis and multinomial logistic regression were conducted to identify parenting concern profiles and associated factors. Subsequently, 19 participants representing different profiles were purposively selected for semi-structured interviews, and thematic analysis was performed.
Three latent profiles were identified: Balanced-Adaptation (59.6%), Support-Dependent (10.8%), and Comprehensive High-Concern (29.6%). Compared with the Balanced-Adaptation group, higher illness perception was associated with increased likelihood of belonging to the Support-Dependent (OR = 1.048, 95% CI 1.046-1.050, P < 0.001) and Comprehensive High-Concern groups (OR = 1.093, 95% CI 1.063-1.124, P < 0.001). Higher resignation coping scores and poorer family functioning were also associated with higher parenting concerns. Qualitative findings supported and enriched the quantitative results by providing deeper insights into parenting-related distress.
Parenting concerns among mothers with breast cancer are heterogeneous. Early identification of profile-specific characteristics may facilitate tailored, family-centered interventions.

PMID:
42143437
Bibliographic data and abstract were imported from PubMed on 17 May 2026.

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