Illness intrusiveness in parents of youth with type 1 diabetes: A longitudinal study.


Journal

Pediatric diabetes
ISSN: 1399-5448
Titre abrégé: Pediatr Diabetes
Pays: Denmark
ID NLM: 100939345

Informations de publication

Date de publication:
08 2020
Historique:
received: 15 10 2019
revised: 07 04 2020
accepted: 14 04 2020
pubmed: 22 4 2020
medline: 15 7 2021
entrez: 22 4 2020
Statut: ppublish

Résumé

Type 1 diabetes in youth has a wide-ranging impact on families. This study aimed at a better understanding of experiences and difficulties that parents may encounter in their lives. Parental illness intrusiveness (ie, a parent's perception that the illness of one's child interferes with one's personal life) was prospectively examined in mothers and fathers. Parental dyads (n = 291) completed four annual questionnaires on parental illness intrusiveness, depressive symptoms, and treatment adherence of their child. Youth reported on their treatment adherence. First, cross-lagged models showed that mothers' illness intrusiveness predicted relative increases in both mothers' and fathers' illness intrusiveness over time. Similar effects were found for fathers. Second, paired-samplest tests revealed higher illness intrusiveness in mothers at baseline. Latent growth curve modeling showed that mothers' illness intrusiveness generally decreased over time, while fathers' illness intrusiveness remained constant. Third, from a person-centered approach, multivariate latent class growth analysis identified three classes of parental couples: one with low and decreasing illness intrusiveness (54%), one with slightly elevated illness intrusiveness that remained stable over time (37%), and one with high illness intrusiveness that decreased in mothers but remained stable in fathers (9%). More parental depressive symptoms were reported in this latter class, while treatment adherence did not differ among the classes. Most parents in this sample reported rather low illness intrusiveness over time, yet some experienced a major impact of the illness. Examining parental illness intrusiveness may provide a better understanding of the specific challenges parents are confronted with.

Identifiants

pubmed: 32315507
doi: 10.1111/pedi.13030
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

890-899

Informations de copyright

© 2020 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Références

Berg CA, Butner J, Wiebe DJ, et al. Developmental model of parent-child coordination for self-regulation across childhood and into emerging adulthood: type 1 diabetes management as an example. Dev Rev. 2017;46:1-26. https://doi.org/10.1016/j.dr.2017.09.001.
Whittemore R, Jaser S, Chao A, Jang M, Grey M. Psychological experience of parents of children with type 1 diabetes. Diabetes Educ. 2012;38:562-579. https://doi.org/10.1177/0145721712445216.
Wiebe DJ, Chow CM, Palmer DL, et al. Developmental processes associated with longitudinal declines in parental responsibility and adherence to type 1 diabetes management across adolescence. J Pediatr Psychol. 2014;39:532-541. https://doi.org/10.1093/jpepsy/jsu006.
Monaghan M, Helgeson V, Wiebe D. Type 1 diabetes in young adulthood. Curr Diabetes Rev. 2015;11:239-250.
Foster NC, Beck RW, Miller KM, et al. State of type 1 diabetes management and outcomes from the t1d exchange in 2016-2018. Diabetes Technol Ther. 2019;21:66-72. https://doi.org/10.1089/dia.2018.0384.
Hessler D, Fisher L, Polonsky W, Johnson N. Understanding the areas and correlates of diabetes-related distress in parents of teens with type 1 diabetes. J Pediatr Psychol. 2016;41:750-758. https://doi.org/10.1093/jpepsy/jsw002.
Devins GM. Illness intrusiveness and the psychosocial impact of lifestyle disruptions in chronic life-threatening disease. Adv Ren Replace Ther. 1994;1:251-263. https://doi.org/10.1016/S1073-4449(12)80007-0.
Devins GM. Using the illness intrusiveness ratings scale to understand health-related quality of life in chronic disease. J Psychosom Res. 2010;68:591-602. https://doi.org/10.1016/j.jpsychores.2009.05.006.
Andrews NR, Chaney JM, Mullins LL, Wagner JL, Hommel KA, Jarvis JN. The differential effect of child age on the illness intrusiveness-parent distress relationship in juvenile rheumatic disease. Rehabil Psychol. 2009;54:45-50. https://doi.org/10.1037/a0014443.
Andrews NR, Chaney JM, Mullins LL, Wagner JL, Hommel KA, Jarvis JN. Brief report: illness intrusiveness and adjustment among native American and Caucasian parents of children with juvenile rheumatic diseases. J Pediatr Psychol. 2007;32:1259-1263. https://doi.org/10.1093/jpepsy/jsm055.
Fedele DA, Ryan JL, Ramsey RR, et al. Utility of the illness intrusiveness scale in parents of children diagnosed with juvenile rheumatic diseases. Rehabil Psychol. 2012;57:73-80. https://doi.org/10.1037/a0027003.
Welkom JS. The Impact of Sickle Cell Disease on the Family: An Examination of the Illness Intrusiveness Framework [dissertation]. Georgia State University; 2012.
Prikken S, Oris L, Rassart J, et al. Parental illness intrusiveness and youth glycaemic control in type 1 diabetes: intergenerational associations and processes. Psychol Health. 2019;34:438-455. https://doi.org/10.1080/08870446.2018.1538451.
Streisand R, Braniecki S, Tercyak KP, Kazak AE. Childhood illness-related parenting stress: the pediatric inventory for parents. J Pediatr Psychol. 2001;26:155-162. https://doi.org/10.1093/jpepsy/26.3.155.
Brannan AM, Heflinger CA, Bickman L. The caregiver strain questionnaire: measuring the impact on the family of living with a child with serious emotional disturbance. J Emot Behav Disord. 1997;5:212-222. https://doi.org/10.1177/106342669700500404.
Carcone AI, Ellis DA, Naar-King S. Linking caregiver strain to diabetes illness management and health outcomes in a sample of adolescents in chronically poor metabolic control. J Dev Behav Pediatr. 2012;33:343-351. https://doi.org/10.1097/DBP.0b013e31824eaac8.
Phares V, Lopez E, Fields S, Kamboukos D, Duhig AM. Are fathers involved in pediatric psychology research and treatment? J Pediatr Psychol. 2005;30:631-643. https://doi.org/10.1093/jpepsy/jsi050.
Seiffge-Krenke I. Diabetic Adolescents and their Families: Stress, Coping, and Adaptation. Cambridge, UK: Cambridge University Press; 2001.
Wysocki T, Harris MA, Buckloh LM, et al. Effects of behavioral family systems therapy for diabetes on adolescents' family relationships, treatment adherence, and metabolic control. J Pediatr Psychol. 2006;31:928-938. https://doi.org/10.1093/jpepsy/jsj098.
Hansen JA, Weissbrod C, Schwartz DD, Taylor WP. Paternal involvement in pediatric type 1 diabetes: fathers' and mothers' psychological functioning and disease management. Fam Syst Health. 2012;30:47-59. https://doi.org/10.1037/a0027519.
Haugstvedt A, Wentzel-Larsen T, Rokne B, Graue M. Perceived family burden and emotional distress: similarities and differences between mothers and fathers of children with type 1 diabetes in a population-based study. Pediatr Diabetes. 2011;12:107-114. https://doi.org/10.1111/j.1399-5448.2010.00661.x.
Wikman A, Ljungman L, Pingel R, et al. The interdependence of posttraumatic stress symptoms in parental dyads during and after their child's treatment for cancer. Acta Oncol. 2017;56:1698-1704. https://doi.org/10.1080/0284186X.2017.1355562.
Kazak AE. Families of chronically ill children: a systems and social-ecological model of adaptation and challenge. J Consult Clin Psychol. 1989;57:25-30. https://doi.org/10.1037/0022-006X.57.1.25.
Kenny DA, Kashy DA, Cook WL, et al. Dyadic Data Analysis (Methodology in the Social Sciences). New York, NY: Guilford; 2006.
Raina P, O'Donnell M, Schwellnus H, et al. Caregiving process and caregiver burden: conceptual models to guide research and practice. BMC Pediatr. 2004;4:1.
Laursen B, Hoff E. Person-centered and variable-centered approaches to longitudinal data. Merrill-Palmer Q. 2006;52:377-389.
Oris L, Rassart J, Prikken S, et al. Illness identity in adolescents and emerging adults with type 1 diabetes: introducing the illness identity questionnaire. Diabetes Care. 2016;39:757-763. https://doi.org/10.2337/dc15-2559.
Devins GM, Binik YM, Hutchinson TA, Hollomby DJ, Barré PE, Guttmann RD. The emotional impact of end-stage renal disease: importance of patients' perceptions of intrusiveness and control. Int J Psychiatry Med. 1983;13:327-343. https://doi.org/10.2190/5DCP-25BV-U1G9-9G7C.
Chapman DW, Carter JF. Translation procedures for the cross cultural use of measurement instruments. Educ Eval Policy An. 1979;1:71-76.
Bouma J. Het meten van symptomen van depressie met de ces-d: Een handleiding [the Measurement of Symptoms of Depression with the cesd: A Manual]. Noordelijk Centrum voor Gezondheidsvraagstukken: Rijksuniversiteit Groningen; 1995.
Radloff LS. The ces-d scale: a self-report depression scale for research in the general population. Appl Psychol Meas. 1977;1:385-401. https://doi.org/10.1177/014662167700100306.
La Greca AM, Swales T, Klemp S, et al. Self care behaviors among adolescents with diabetes (abstract). Presented at 9th Annual Sessions of the Society of Behavioral Medicine; 1988; Baltimore, MD.
Little RJA. A test of missing completely at random for multivariate data with missing values. J Am Stat Assoc. 1988;83:1198-1202. https://doi.org/10.1080/01621459.1988.10478722.
Dempster AP, Laird NM, Rubin DB. Maximum likelihood from incomplete data via the em algorithm. J R Stat Soc B. 1977;39:1-22.
Schafer JL, Graham JW. Missing data: our view of the state of the art. Psychol Methods. 2002;7:147-177. https://doi.org/10.1037/1082-989X.7.2.147.
Kline RB. Principles and Practices of Structural Equation Modelling. 2nd ed. New York: Guilford Press; 2005.
Duncan TE, Duncan SC, Strycker LA, et al. An Introduction to Latent Variable Modeling: Concepts, Issues, and Applications. Mahwah, NJ: Lawrence Erlbaum Associates, Publishers; 1999.
Muthén BO, Muthén LK. Integrating person-centered and variable-centered analyses: growth mixture modeling with latent trajectory classes. Alcohol Clin Exp Res. 2000;24:882-891. https://doi.org/10.1111/j.1530-0277.2000.tb02070.x.
Nagin DS. Analyzing developmental trajectories: a semiparametric, group-based approach. Psychol Methods. 1999;4:139-157.
Jung T, Wickrama KAS. An introduction to latent class growth analysis and growth mixture modeling. Soc Personal Psychol Compass. 2008;2:302-317. https://doi.org/10.1111/j.1751-9004.2007.00054.x.
Raftery AE. Bayesian model selection in social research. Sociol Methodol. 1995;25:111-164. https://doi.org/10.2307/271063.
Mellin AE, Neumark-Sztainer D, Patterson JM. Parenting adolescent girls with type 1 diabetes: parents' perspectives. J Pediatr Psychol. 2004;29:221-230. https://doi.org/10.1093/jpepsy/jsh023.
Dashiff C, Morrison S, Rowe J. Fathers of children and adolescents with diabetes: what do we know? J Pediatr Nurs. 2008;23:101-119. https://doi.org/10.1016/j.pedn.2007.08.007.
Noser AE, Dai H, Marker AM, et al. Parental depression and diabetes-specific distress after the onset of type 1 diabetes in children. Health Psychol. 2019;38:103-112. https://doi.org/10.1037/hea0000699.
Kazak AE. Pediatric psychosocial preventative health model (PPPHM): research, practice, and collaboration in pediatric family systems medicine. Fam Syst Health. 2006;24:381-395. https://doi.org/10.1037/1091-7527.24.4.381.
Mackey ER, Struemph K, Powell PW, Chen R, Streisand R, Holmes CS. Maternal depressive symptoms and disease care status in youth with type 1 diabetes. Health Psychol. 2014;33:783-791. https://doi.org/10.1037/hea0000066.
Hungerbuehler I, Vollrath ME, Landolt MA. Posttraumatic growth in mothers and fathers of children with severe illnesses. J Health Psychol. 2011;16:1259-1267. https://doi.org/10.1177/1359105311405872.
Bekker CI, Deacon E, Segal D. Meaning in life experienced by parents of children living with diabetes. Health Psych Open. 2019;6:1-6. https://doi.org/10.1177/2055102919832221.
Pierce JS, Wasserman R, Enlow P, Aroian K, Lee J, Wysocki T. Benefit finding among parents of young children with type 1 diabetes. Pediatr Diabetes. 2019;20:1-9. https://doi.org/10.1111/pedi.12860.

Auteurs

Sofie Prikken (S)

School Psychology and Development in Context, KU Leuven, Leuven, Belgium.
Research Foundation Flanders, Brussel, Belgium.

Koen Raymaekers (K)

School Psychology and Development in Context, KU Leuven, Leuven, Belgium.
Research Foundation Flanders, Brussel, Belgium.

Leen Oris (L)

School Psychology and Development in Context, KU Leuven, Leuven, Belgium.
Research Foundation Flanders, Brussel, Belgium.

Ilse Weets (I)

Free University Brussels/University Hospital Brussels, Brussel, Belgium.

Philip Moons (P)

School Psychology and Development in Context, KU Leuven, Leuven, Belgium.
Institute of Health and Care Sciences, University of Gothenburg, Gothenburg, Sweden.
Department of Paediatrics and Child Health, University of Cape Town, Rondebosch, South Africa.

Koen Luyckx (K)

School Psychology and Development in Context, KU Leuven, Leuven, Belgium.
UNIBS, University of the Free State, Bloemfontein, South Africa.

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