ArticlePsychology & health2022
A latent profile analysis to assess physical, cognitive and emotional symptom clusters in women with breast cancer.
Article in Psychology & health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 15 citations in OpenAlex.
- Data-driven biopsychosocial profiles to inform early psycho-oncology triage in head and neck cancer : A cross-sectional cluster analysis integrating patient-reported outcomes, medical complexity, and early psychosocial care utilization in an interdisciplinary fast-track diagnostic program.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
- Co-Design and Pilot Testing of a Nurse-Led GP-Supported Self-Management Intervention for Breast Cancer Survivors with Cardiovascular Diseases: A Study Protocol.Nursing reports (Pavia, Italy) · 2026Article
- Allostatic Load Predicts Symptom Burden Among Breast Cancer Survivors.Research square · 2026Article
- Latent profile analysis for assessing symptom clusters in women with breast cancer.Journal of cancer survivorship : research and practice · 2026Article
- Illness uncertainty in individuals with gynecologic and breast cancer: A latent profile analysis and structural equation modeling.PloS one · 2026Article
- Identification of distinct symptom profiles in primary brain tumor patients: a prospective longitudinal study.BMC neurology · 2025Article
- Identifying latent profiles of quality of life and lifestyle behaviors in cancer survivors: The interplay of sedentary behavior, physical activity, and sleep.Journal of cancer survivorship : research and practice · 2025Article
- Trajectory of change in symptom patterns among patients undergoing surgery for oesophageal cancer: a prospective longitudinal study using latent transition analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025Article
- Identification of subgroups of self-reported outcomes among breast cancer patients undergoing surgery and chemotherapy: A cross-sectional study.International journal of nursing sciences · 2025Article
- Article
- Cognitive behavioral stress management affects different dimensions of benefit finding in breast cancer survivors: a multilevel mediation model.Psychology & health · 2025Article
- Risk factors for self-reported high symptom cluster burdens in patients with breast cancer undergoing chemotherapy in China: A cross-sectional study.Health science reports · 2024Article
- Symptom burden, family resilience, and functional exercise adherence among postoperative breast cancer patients.Asia-Pacific journal of oncology nursing · 2022Article
- Optimism, sleep quality, physical activity, and cancer-related cognitive impairment in middle-to-older aged patients undergoing breast cancer treatment.International journal of clinical and health psychology : IJCHPArticle
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
objectiveCurrent research on the physical and psychological functioning of breast cancer survivors often takes an approach where symptoms are studied independently even though they often occur in clusters This paper aims to identify physical and psychological symptom clusters among breast cancer survivors while assessing clinical, psychosocial and demographic characteristics that predict subgroup membership.
designUsing post-surgical data collected from 240 women with stage 0-III breast cancer, symptom clusters were identified using latent profile analysis of patient-reported symptoms.
main outcome measuresBaseline measures included the Pittsburg Sleep Quality Index, the Fatigue Symptom Inventory, the Hamilton Rating Scales for depression and anxiety and the Impact of Event Scale.
resultsThree distinct classes were identified: (1) mild physical, cognitive and emotional symptoms, (2) moderate across all domains and (3) high levels of all symptoms. Lower socio-economic status, minority ethnicity, younger age, advanced disease stage along with lower self-efficacy and less internal locus of control were significantly associated with a higher likelihood of class 3 membership.
conclusionBy identifying those most at risk for severe physical and psychological symptoms in the post-surgical period, our results can guide the development of tailored interventions to optimise quality of life during breast cancer treatment.
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