ArticleAIMS public health2021
Characteristics and subtypes of depressive symptoms in Chinese female breast cancer patients of different ages: a cross-sectional study.
Article in AIMS public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- Depression symptoms are associated with demographic characteristics, nutritional status, and social support among young adults in Chile: a latent class analysis.BMC public health · 2024Article
- Psychometric Properties of the Patient Health Questionnaire-9 in Patients With Breast Cancer.Psychiatry investigation · 2024Article
- Suicidal ideation in Chinese patients with advanced breast cancer: a multi-center mediation model study.BMC psychology · 2024Article
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10 authors.
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Abstract
purposeTo identify the characteristics and subtypes of depressive symptoms and explore the relationship between depressive subtypes and age among Chinese female breast cancer patients.
methodIn this cross-sectional study, 566 breast cancer patients were recruited from three tertiary comprehensive hospital in Shandong Province, China through convenient sampling from April 2013 to June 2019. Depressive symptoms were measured using the Patient Health Questionnaire-9 (PHQ-9). Data analyses included descriptive analyses, latent class analysis.
resultsThere were significant differences in specific depressive symptoms by age group, but no significant difference in total scores on PHQ-9. The depressive subtypes were severe (Class 4), relatively severe (Class 3; with lower psychomotor agitation/retardation and suicidal ideation), moderate (Class 2; with higher psychomotor agitation/retardation and suicidal ideation), and mild depressive symptoms (Class 1). The distribution of depression subtypes is different in various age groups. In the 45-59 age groups, severe symptoms subtype showed the highest ratios (i.e. 50.3%).
conclusionThis is the first study that analyses depressive symptom characteristics and identifies depressive subtypes in Chinese women with breast cancer across ages to explore symptom heterogeneity. Our findings can contribute to identifying the mechanisms behind these relationships and developing targeted interventions for patients with specific depressive subtypes.
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