OBJECTIVE: Children of cancer patients have an increased risk of developing psychosocial problems. But not all children are alike vulnerable to this stressful event. Thus, knowledge of risk and protective factors is required to design specific diagnostic tools and interventions for this vulnerable population. This study aims to provide a review and methodological evaluation of current studies examining factors associated with children's psychosocial adjustment when a parent has cancer. METHODS: Four databases were systematically searched for quantitative research articles examining associative factors of children's adjustment. Study characteristics were analyzed and methodological quality was assessed by two independent reviewers. RESULTS: 28 studies examining associative factors in 2896 families were identified. The included studies used a broad range of instruments assessing children's adjustment. Most patients were female breast cancer patients with middle to high socio-economic status. The majority of included studies used correlational approaches and cross-sectional designs. None of the studies examined toddlers or assessed children's quality of life. Across studies with low to high quality, we found no evidence of illness-related factors, except worse disease status that was related to lower adjustment. Evidence from moderate to high quality studies suggest that better family functioning indicates better adjustment, whereas parent's depressive mood indicates worse adjustment of the children. Child-related factors were inconsistent. CONCLUSION: Health professionals should pay attention to cancer patients' dependent children. In order to identify this at-risk population, parent's depressive mood and poor family functioning should be considered. Future studies should also assess children's quality of life and child-related factors.
OBJECTIVE:Children of cancerpatients have an increased risk of developing psychosocial problems. But not all children are alike vulnerable to this stressful event. Thus, knowledge of risk and protective factors is required to design specific diagnostic tools and interventions for this vulnerable population. This study aims to provide a review and methodological evaluation of current studies examining factors associated with children's psychosocial adjustment when a parent has cancer. METHODS: Four databases were systematically searched for quantitative research articles examining associative factors of children's adjustment. Study characteristics were analyzed and methodological quality was assessed by two independent reviewers. RESULTS: 28 studies examining associative factors in 2896 families were identified. The included studies used a broad range of instruments assessing children's adjustment. Most patients were female breast cancerpatients with middle to high socio-economic status. The majority of included studies used correlational approaches and cross-sectional designs. None of the studies examined toddlers or assessed children's quality of life. Across studies with low to high quality, we found no evidence of illness-related factors, except worse disease status that was related to lower adjustment. Evidence from moderate to high quality studies suggest that better family functioning indicates better adjustment, whereas parent's depressive mood indicates worse adjustment of the children. Child-related factors were inconsistent. CONCLUSION: Health professionals should pay attention to cancerpatients' dependent children. In order to identify this at-risk population, parent's depressive mood and poor family functioning should be considered. Future studies should also assess children's quality of life and child-related factors.
Authors: Angela R Bradbury; Linda Patrick-Miller; Lisa Schwartz; Brian Egleston; Colleen Burke Sands; Wendy K Chung; Gord Glendon; Jasmine A McDonald; Cynthia Moore; Paula Rauch; Lisa Tuchman; Irene L Andrulis; Saundra S Buys; Caren J Frost; Theresa H M Keegan; Julia A Knight; Mary Beth Terry; Esther M John; Mary B Daly Journal: Pediatrics Date: 2015-10-19 Impact factor: 7.124
Authors: Marjan Ghofrani; Lida Nikfarid; Manijheh Nourian; Maliheh Nasiri; Mahindokhat Saiadynia Journal: Support Care Cancer Date: 2018-06-19 Impact factor: 3.603
Authors: Angela R Bradbury; Linda Patrick-Miller; Lisa A Schwartz; Brian L Egleston; Dare Henry-Moss; Susan M Domchek; Mary B Daly; Lisa Tuchman; Cynthia Moore; Paula K Rauch; Rebecca Shorter; Kelsey Karpink; Colleen Burke Sands Journal: J Clin Oncol Date: 2016-08-22 Impact factor: 44.544
Authors: Catherine A Marshall; Melissa A Curran; Gail Brownmiller; Ambar Solarte; Julie Armin; Heidi A Hamann; Janice D Crist; Mika Niemelä; Terry A Badger; Karen L Weihs Journal: Psychooncology Date: 2018-08-15 Impact factor: 3.894