Anxiety and depression in mothers and fathers of a chronically ill child
Abstract
We aimed to determine the levels of anxiety and depression in mothers and fathers of a chronically ill child (0-18 years) and to study which parental and child variables are associated with anxiety and depression. In a cross-sectional design, anxiety and depression were assessed with the Hospital Anxiety and Depression Scale. Scores were compared to a Dutch reference group by analysis of variance and logistic regression analysis. Linear regression analyses were performed to examine which variables were associated with anxiety and depression. Mothers of a chronically ill child (n = 566) scored significantly higher than the reference group (p < .001) on anxiety (Mean 5.9 vs 4.8) and depression (Mean 4.5 vs 3.1). Fathers (n = 123) had higher depression scores (Mean 4.5 vs 3.6; p < .05), but fathers' anxiety scores were comparable to the reference group. The percentages of mothers in the clinical range of anxiety (31.8 vs 20.7 %, OR 2.03, 95 % CI 1.46-2.83) and depression (23.0 vs 12.0 %, OR 2.76, 95 % CI 1.84-4.13) were higher (p < .001) than in the reference group. No differences were found for fathers in the clinical range for anxiety and depression. Practical problems in daily life (a: β = .33, d: β = .25) and parenting stress (a: β = .30, d: β = .32) showed the strongest association with anxiety and depression for parents as a group. Illness-related characteristics of the child were not related. Parents of a chronically ill child, especially mothers, reported high levels of anxiety and depression. Awareness about parental anxiety and depression in pediatrics is important as well as targeted interventions.
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Participants in both the intervention and waitlist control groups scored significantly more often in the clinical range than the norm group (p < .05), except for the waitlist control group on anxiety (p = .24).
“Participants in both the intervention and the waitlist control group scored significantly more often in the clinical range than the norm group (p < .05) (van Oers et al., 2014; Vingerhoets, 2012), except for the waitlist control group on anxiety (p = .24).”
From Online psychosocial group intervention for parents: Positive effects on anxiety and depression. (2021) · cites this paper as van Oers et al., 2014
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- Authors
- van Oers, H. A., Haverman, L., Limperg, P. F., van Dijk-Lokkart, E. M., Maurice-Stam, H., & Grootenhuis, M. A.
- Affiliations
- Amsterdam UMC Location University of Amsterdam (NL)
- Venue
- Maternal and Child Health Journal
- Published
- 2014-05-04
- Volume
- 18
- Issue
- 8
- Pages
- 1993-2002
- ISSN
- 1092-7875 (ISSN-L)
- 1573-6628
- OpenAlex
- W2035437107
- Cited by
- 147
- References
- 43
- Citations by year
- 2026: 9 · 2025: 9 · 2024: 17 · 2023: 16 · 2022: 14 · 2021: 15 · 2020: 17 · 2019: 9 · 2018: 18 · 2017: 10 · 2016: 5 · 2015: 5 · 2014: 2
- FWCI
- 8.65
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Maternal and Child Health Journal (publishedVersion)
- PubMed (publishedVersion)
- Pure Amsterdam UMC (publishedVersion)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- Vrije Universiteit Amsterdam
- Topics
- Social Sciences › Psychology › Clinical Psychology › Family and Disability Support Research
- Social Sciences › Sociology and Political Science › Family Support in Illness
- Social Sciences › Psychology › Clinical Psychology › Child and Adolescent Psychosocial and Emotional Development
- Keywords
- parental anxiety, parental depression, children with chronic illness, mothers, fathers, parental stress, everyday problems, child illness, parental mental health
- MeSH terms
- Academic Medical Centers, Child Health, Adolescent, Adult, Anxiety, Child, Child, Preschool, Chronic Disease, Cross-Sectional Studies, Depression, Fathers, Female, Humans, Infant, Infant, Newborn, Male, Middle Aged, Mothers, Netherlands, Pediatrics, Psychiatric Status Rating Scales, Logistic Models
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