Katrina R. Ellis, Helen Koechlin, Marion Rudaz, Lynette Hammond Gerido, Hillary K. Hecht, Carly Jones, Dolapo Raji, Laurel Northouse, Maria Katapodi
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The purpose of this study was to identify demographic, clinical, and psychosocial predictors of physical and mental QOL in YBCS and biological relatives and investigate associations between their QOL (i.e., QOL interdependence).</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>This secondary data analysis includes a random sample of long-term YBCS (≤ 45 years old at diagnosis) and up to two female relatives at baseline (post-treatment) and 18-month follow-up. The sample consists of 189 dyads (YBCS and one relative) and 121 triads (YBCS and two relatives). Actor-partner interdependence models (APIMs) were used to estimate the influence of YBCS's and relatives' demographic, clinical, and psychosocial factors on their own QOL (actor effects) and the other persons' QOL (partner effects).</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>For YBCS and relatives, QOL at the baseline was associated with their QOL at 18-months. YBCS's perceived cancer risk was associated with their own and relatives' QOL. Older relatives' physical QOL at baseline was associated with younger relatives' physical QOL at follow-up. Age, race, marital status, years since diagnosis, education, out-of-pocket costs of care, routine sources of care, income, family support, fear of recurrence, anxiety, and depression were also significant predictors of QOL.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>Findings revealed independent and interdependent effects on QOL. These predictors point to potential targets of support for families.</p>\n </section>\n \n <section>\n \n <h3> Trial Registration</h3>\n \n <p>ClinicalTrials.gov ID: NCT01612338</p>\n </section>\n </div>","PeriodicalId":139,"journal":{"name":"Cancer Medicine","volume":"13 20","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cam4.70328","citationCount":"0","resultStr":"{\"title\":\"Predictors and Interdependence of Quality of Life in a Random Sample of Long-Term Young Breast Cancer Survivors and Their Biological Relatives\",\"authors\":\"Katrina R. Ellis, Helen Koechlin, Marion Rudaz, Lynette Hammond Gerido, Hillary K. 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引用次数: 0
摘要
目的：年轻乳腺癌幸存者（YBCS）的生活质量（QOL）往往比年长乳腺癌幸存者或无癌症病史的年龄匹配同龄人的生活质量（QOL）差。家人通常会为 YBCS 提供支持，尤其是在治疗期间，但人们对 YBCS 的长期生存状况和家庭成员的 QOL 却知之甚少。本研究的目的是确定 YBCS 和亲生亲属身心 QOL 的人口、临床和社会心理预测因素，并调查他们的 QOL 之间的关联（即 QOL 相互依存性）：该二次数据分析包括长期 YBCS（诊断时年龄小于 45 岁）和最多两名女性亲属在基线（治疗后）和 18 个月随访时的随机样本。样本包括 189 个二人组（YBCS 和一名亲属）和 121 个三人组（YBCS 和两名亲属）。研究采用行为者-伙伴相互依赖模型（APIMs）来估算YBCS和亲属的人口、临床和社会心理因素对其自身QOL（行为者效应）和他人QOL（伙伴效应）的影响：对于 YBCS 及其亲属而言，基线时的 QOL 与他们 18 个月时的 QOL 相关。YBCS 感知到的癌症风险与其自身和亲属的 QOL 相关。年长亲属在基线时的身体 QOL 与年轻亲属在随访时的身体 QOL 相关。年龄、种族、婚姻状况、确诊年限、教育程度、自付护理费用、常规护理来源、收入、家庭支持、对复发的恐惧、焦虑和抑郁也是QOL的重要预测因素：结论：研究结果显示了对 QOL 的独立和相互依存的影响。这些预测因素为家庭提供支持指明了潜在的目标：试验注册：ClinicalTrials.gov ID：NCT01612338.
Predictors and Interdependence of Quality of Life in a Random Sample of Long-Term Young Breast Cancer Survivors and Their Biological Relatives
Purpose
Quality of life (QOL) among young breast cancer survivors (YBCS) is often worse than QOL of older breast cancer survivors or age-matched peers without a history of cancer. Families commonly support YBCS, particularly during treatment, but little is known about long-term YBCS and family member QOL. The purpose of this study was to identify demographic, clinical, and psychosocial predictors of physical and mental QOL in YBCS and biological relatives and investigate associations between their QOL (i.e., QOL interdependence).
Methods
This secondary data analysis includes a random sample of long-term YBCS (≤ 45 years old at diagnosis) and up to two female relatives at baseline (post-treatment) and 18-month follow-up. The sample consists of 189 dyads (YBCS and one relative) and 121 triads (YBCS and two relatives). Actor-partner interdependence models (APIMs) were used to estimate the influence of YBCS's and relatives' demographic, clinical, and psychosocial factors on their own QOL (actor effects) and the other persons' QOL (partner effects).
Results
For YBCS and relatives, QOL at the baseline was associated with their QOL at 18-months. YBCS's perceived cancer risk was associated with their own and relatives' QOL. Older relatives' physical QOL at baseline was associated with younger relatives' physical QOL at follow-up. Age, race, marital status, years since diagnosis, education, out-of-pocket costs of care, routine sources of care, income, family support, fear of recurrence, anxiety, and depression were also significant predictors of QOL.
Conclusions
Findings revealed independent and interdependent effects on QOL. These predictors point to potential targets of support for families.
期刊介绍：
Cancer Medicine is a peer-reviewed, open access, interdisciplinary journal providing rapid publication of research from global biomedical researchers across the cancer sciences. The journal will consider submissions from all oncologic specialties, including, but not limited to, the following areas:
Clinical Cancer Research
Translational research ∙ clinical trials ∙ chemotherapy ∙ radiation therapy ∙ surgical therapy ∙ clinical observations ∙ clinical guidelines ∙ genetic consultation ∙ ethical considerations
Cancer Biology:
Molecular biology ∙ cellular biology ∙ molecular genetics ∙ genomics ∙ immunology ∙ epigenetics ∙ metabolic studies ∙ proteomics ∙ cytopathology ∙ carcinogenesis ∙ drug discovery and delivery.
Cancer Prevention:
Behavioral science ∙ psychosocial studies ∙ screening ∙ nutrition ∙ epidemiology and prevention ∙ community outreach.
Bioinformatics:
Gene expressions profiles ∙ gene regulation networks ∙ genome bioinformatics ∙ pathwayanalysis ∙ prognostic biomarkers.
Cancer Medicine publishes original research articles, systematic reviews, meta-analyses, and research methods papers, along with invited editorials and commentaries. Original research papers must report well-conducted research with conclusions supported by the data presented in the paper.
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