Evidence map›Paper›PMID 41877855›Full record

ArticlePatient preference and adherence2026

Latent Physical Activity Patterns and Their Related Factors in Breast Cancer Patients During Chemotherapy Intervals.

Siqi Shi, Guangting Chang, Chunying Xie, Jingjing Xiao, Yanling Liu, Shu Cai

Abstract read
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Article in Patient preference and adherence, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Siqi ShiSchool of Nursing, Guangdong Pharmaceutical University, Guangzhou, Guangdong, People's Republic of China.
Guangting ChangSchool of Nursing, Guangzhou Xinhua College, Guangzhou, Guangdong, People's Republic of China.
Chunying XieSchool of Nursing, Guangdong Pharmaceutical University, Guangzhou, Guangdong, People's Republic of China.
Jingjing XiaoDepartment of Nursing, Guangdong Women and Children Hospital, Guangzhou, Guangdong, People's Republic of China.ORCID 0000-0002-2730-6136
Yanling LiuDepartment of Obstetrics, Guangdong Women and Children Hospital, Guangzhou, Guangdong, People's Republic of China.
Shu CaiSchool of Nursing, Guangdong Pharmaceutical University, Guangzhou, Guangdong, People's Republic of China.ORCID 0009-0005-2930-8919

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Previous research on breast cancer patients has primarily examined singular behavioral indicators, often overlooking the coexistence and interaction between physical activity and sedentary behavior-particularly screen-based sedentary time. This study aims to identify the latent activity pattern categories among breast cancer patients during chemotherapy intervals and explore their associated factors to inform targeted behavioral interventions. Methods: A cross-sectional survey was conducted with 292 breast cancer patients undergoing chemotherapy intervals at four general hospitals in Foshan, Guangdong Province. Latent Profile Analysis (LPA) was applied as a person-centered analytic approach to identify distinct activity pattern profiles. Data were collected using a general information questionnaire, the Adult Sedentary Behavior Questionnaire (ASBQ), the Chinese version of the International Physical Activity Questionnaire (IPAQ-SC), the Exercise Self-Efficacy Scale (ESES), the Perceived Social Support Scale (PSSS), and the Hospital Anxiety and Depression Scale (HADS). Results: The activity patterns of breast cancer patients were categorized into three groups: Moderate Activity-Dominant Group (37.33%), Screen-Sedentary High-Risk Group (8.22%), and Activity-Sedentary Coexistence Group (54.45%). Logistic regression analysis showed that, compared to the Moderate Activity-Dominant Group, patients with low exercise self-efficacy and higher anxiety and depression levels were more likely to be classified into the Screen-Sedentary High-Risk Group and Activity-Sedentary Coexistence Group. Higher education levels and being on medical leave were associated with a higher probability of belonging to the Activity-Sedentary Coexistence Group (all Conclusion: Activity patterns in breast cancer patients show significant heterogeneity. Healthcare providers should pay attention to the individual physical activity characteristics of patients and offer personalized physical activity guidance. Tailored interventions that meet the needs of breast cancer patients should be developed to improve health outcomes.

Indexed as

breast cancerexercise self-efficacylatent profile analysisphysical activitysedentary behavior

Identifiers

PMID41877855
PMCPMC13006346

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.