ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2023
Trajectory patterns and influencing factors of supportive care needs in Chinese elderly breast cancer patients.
Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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Who cites it
5 citing papers in PubMed, 5 citations in OpenAlex.
- Predictive analysis of health-related quality of life trajectories in older patients with chronic pain based on explainable machine learning models.Health and quality of life outcomes · 2026Article
- Association between demographic-socioeconomic factors and grouped trajectory patterns of peer support needs in parents of preterm infants: a longitudinal exploration.BMC pediatrics · 2026Article
- Study on the Current Status of Supportive Care Needs of Elderly Breast Cancer Patients and Influencing Factors.Nursing research and practice · 2026Article
- Group-based trajectory modeling for supportive care needs in Chinese cancer survivors: A systematic review.Asia-Pacific journal of oncology nursing · 2025Review
- Application progress of latent class growth models in dynamic prevention and control strategies for acquired immunodeficiency syndrome.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2024Review
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
AIMS AND
objectivesThe aim of this study was to identify the trajectory patterns of supportive care needs in Chinese older patients with breast cancer and their predictive factors.
methodsA total of 122 older patients with breast cancer were recruited. Demographic and disease-related information, type D personality, and supportive care needs were investigated at baseline, 3, and 6 months. Latent class growth model was used to identify the trajectory patterns of supportive care needs. Multiple logistic regression was used to determine the predictors for membership.
resultsThree trajectories with different characteristics of changing categories of supportive care needs were identified in the final analysis, named as "High needs decline group" (38.5%), "High needs sustained group" (51.6%), and "Low needs sustained group" (9.8%). Univariate analysis showed that age, education level, number of children, primary caregiver, pathological stage, surgical modality, treatment protocols, and personality traits were associated with the trajectory categories of supportive care needs of older patients with breast cancer. Multiple logistic regression showed that primary caregiver type, treatment protocols, and personality traits were influential factors in the trajectory of supportive care needs of older patients with breast cancer.
conclusionOur study demonstrates the heterogeneity of changes in supportive care needs. The supportive care needs of older patients with breast cancer show a trajectory of change in different categories, and healthcare providers can develop individualized interventions based on the characteristics of different patients.
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