Swipe om te navigeren naar een ander artikel
The quality of family functioning has been considered an important predictor of adaptation in children with chronic conditions and their parents. Previous research suggests that beyond general family functioning, the specific experience of the family’s condition management is paramount for understanding family members’ adaptation. This study’s first goal was to compare family functioning and parents’ and children’s adaptation outcomes across four chronic conditions: asthma, diabetes, epilepsy, and obesity. Secondly, we explored the mediating role of family life difficulties and parental mutuality, as two potential paths through which family cohesion is linked to family members’ adaptation. A total of 263 parents of children (3–19 years old) with asthma (n = 77), obesity (n = 79), epilepsy (n = 52) and diabetes (n = 55) completed self-report measures of family cohesion, family life difficulty, parental mutuality, anxiety and depressive symptoms, and their children’s health-related quality of life (HrQoL). The results showed that families of children with diabetes, obesity, and epilepsy were at higher risk of experiencing family difficulties and children’s deteriorated HrQoL when compared to families of children with asthma. With regard to the links among study variables, although family cohesion had both a direct and indirect relationship with parental depressive symptoms, its links with parental anxiety symptoms and children’s HrQoL were only indirect, through family life difficulty. These associations were consistent across the four clinical groups. These findings emphasize the relevance of family-centered interventions aimed at promoting family cohesion, parents’ mutuality, and effective coping with the demands of pediatric chronic conditions.
Log in om toegang te krijgen
Met onderstaand(e) abonnement(en) heeft u direct toegang:
Alderfer, M. A., Fiese, B. H., Gold, J. I., Cutuli, J. J., Holmbeck, G. N., Goldbeck, L., et al. (2008). Evidence-based assessment in pediatric psychology: Family measures. Journal of Pediatric Psychology, 33(9), 1046–1061; discussion 1062–1044. doi: 10.1093/jpepsy/jsm083.
Amos Development Team. (2010). Videos http://amosdevelopment.com/video/. Retrieved 15/01/2015.
Anderson, B. J. (2004). Family conflict and diabetes management in youth: Clinical lessons from child development and diabetes research. Diabetes Spectrum, 17(1), 22–26. CrossRef
Austin, J. K. (1988). Childhood epilepsy: Child adaptation and family resources. Journal of Child and Adolescent Psychiatric Nursing, 1(1), 18–24. CrossRef
Bean, M. K., Powell, P., Quinoy, A., Ingersoll, K., Wickham, E. P., & Mazzeo, S. E. (2015). Motivational interviewing targeting diet and physical activity improves adherence to paediatric obesity treatment: Results from the MI Values randomized controlled trial. Pediatric Obesity, 10(2), 118–125. doi: 10.1111/j.2047-6310.2014.226.x. CrossRefPubMed
Byrne, B. M. (2010). Structural equation modeling with amos: Basic concepts, applications, and programming (2nd ed.). New York, NY: Routledge/Taylor & Francis Group.
Davis, M., LaShun, Y., Davis, S. P., & Moll, G. (2011). Parental depression, family functioning, and obesity among African American children. ABNF Journal, 22(3), 53–57. PubMed
Epstein, N. B., Baldwin, L. M., & Bishop, D. S. (1983). The mcmaster family assessment device. Journal of Marital and Family Therapy, 9(2), 171–180. CrossRef
Ferro, M. A., Avison, W. R., Campbell, M. K., & Speechley, K. N. (2011). The impact of maternal depressive symptoms on health-related quality of life in children with epilepsy: A prospective study of family environment as mediators and moderators. Epilepsia, 52(2), 316–325. doi: 10.1111/j.1528-1167.2010.02769.x. PubMed
Hayes, A. (2013). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. NY: Guilford Press.
Hu, L., & Bentler, P. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55. CrossRef
Hutton, A., Munt, R., Aylmer, C., & Deatrick, J. (2012). Using the family management measure in australia. Neonatal, Pediatric and Child Health Nursing, 15(2), 17–25. doi: 10.13140/2.1.4492.3843.
Jelalian, E., & Hart, C. (2009). Pediatric obesity. In M. C. Roberts & R. G. Steele (Eds.), Handbook of pediatric psyhcology (4th ed.). New York: Guildford.
Kazak, A. E., Rourke, M. T., & Navsaria, N. (2009). Families and other systems in pediatric psychology. In Handbook of pediatric psychology (4th ed., pp. 656–671). New York, NY: Guilford Press.
Kline, R. (2011). Principles and practice of structural equation modeling (3rd ed.). New York, NY: Guilford Press.
Knafl, K. A., Deatrick, J. A., Knafl, G. J., Gallo, A. M., Grey, M., & Dixon, J. K. (2013). Patterns of family management of childhood chronic conditions and their relationship to child and family functioning. Journal of Pediatric Nursing, 523–535. doi: 10.1016/j.pedn.2013.03.006.
Moos, R. H., & Moos, B. S. (1986). Family environment scale manual (2nd ed.). Palo Alto, CA: Consulting Psychologists Press.
Rolland, J. S. (1994). Families, illness, and disability: An integrative treatment model. New York: BasicBooks.
Schmidt, S., & European Disabkids Group. (2006). The disabkids questionnaires: Quality of life questionnaires for children with chronic conditions. Lengerich: Pabst Science Publishers.
Silva, N., Crespo, C., Carona, C., Bullinger, M., & Canavarro, M. C. (2015). Why the (dis)agreement? Family context and child–parent perspectives on health-related quality of life and psychological problems in paediatric asthma. Child: Care, Health and Development, 41(1), 112–121. doi: 10.1111/cch.12147.
Simões, M. (1994). Raven’s progressive matrices: Aferition studies for the portuguese population. Portugal: Universidade de Coimbra.
Solowiejczyk, J. (2004). The family approach to diabetes management: Theory into practice toward the development of a new paradigm. Diabetes Spectrum, 17(1), 31–36. CrossRef
Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics (5th ed.). Boston, MA: Allyn & Bacon/Pearson Education.
Weissberg-Benchell, J., Nansel, T., Holmbeck, G., Chen, R., Anderson, B., Wysocki, T., & Laffel, L. (2009). Generic and diabetes-specific parent–child behaviors and quality of life among youth with type 1 diabetes. Journal of Pediatric Psychology, 34(9), 977–988. doi: 10.1093/jpepsy/jsp003. CrossRefPubMedPubMedCentral
- Family Cohesion and Adaptation in Pediatric Chronic Conditions: The Missing Link of the Family’s Condition Management
Teresa Paula Gameiro Pompeu Mendes
Carla Alexandra Mesquita Crespo
Joan Kessner Austin
- Springer US