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已发表论文
乳腺癌患者化疗间期潜在体力活动模式及相关因素
Authors Shi S, Chang G, Xie C, Xiao J , Liu Y, Cai S
Received 4 September 2025
Accepted for publication 25 December 2025
Published 29 January 2026 Volume 2026:20 561144
DOI https://doi.org/10.2147/PPA.S561144
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 3
Editor who approved publication: Dr Emma Veale
Siqi Shi,1 Guangting Chang,2 Chunying Xie,1 Jingjing Xiao,3 Yanling Liu,4 Shu Cai1
1School of Nursing, Guangdong Pharmaceutical University, Guangzhou, Guangdong, People’s Republic of China; 2School of Nursing, Guangzhou Xinhua College, Guangzhou, Guangdong, People’s Republic of China; 3Department of Nursing, Guangdong Women and Children Hospital, Guangzhou, Guangdong, People’s Republic of China; 4Department of Obstetrics, Guangdong Women and Children Hospital, Guangzhou, Guangdong, People’s Republic of China
Correspondence: Shu Cai, School of Nursing, Guangdong Pharmaceutical University, 283 Jianghai Avenue, Haizhu District, Guangzhou, Guangdong, 510310, People’s Republic of China, Email caishu_keyan@163.com
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 P < 0.05).
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.
Keywords: breast cancer, physical activity, sedentary behavior, latent profile analysis, exercise self-efficacy
1School of Nursing, Guangdong Pharmaceutical University, Guangzhou, Guangdong, People’s Republic of China; 2School of Nursing, Guangzhou Xinhua College, Guangzhou, Guangdong, People’s Republic of China; 3Department of Nursing, Guangdong Women and Children Hospital, Guangzhou, Guangdong, People’s Republic of China; 4Department of Obstetrics, Guangdong Women and Children Hospital, Guangzhou, Guangdong, People’s Republic of China
Correspondence: Shu Cai, School of Nursing, Guangdong Pharmaceutical University, 283 Jianghai Avenue, Haizhu District, Guangzhou, Guangdong, 510310, People’s Republic of China, Email caishu_keyan@163.com
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 P < 0.05).
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.
Keywords: breast cancer, physical activity, sedentary behavior, latent profile analysis, exercise self-efficacy