Literature DB >> 22021302

Changes over time in the health of caregivers of children with health problems: growth-curve findings from a 10-year Canadian population-based study.

Jamie C Brehaut1, Rochelle E Garner, Anton R Miller, Lucyna M Lach, Anne F Klassen, Peter L Rosenbaum, Dafna E Kohen.   

Abstract

OBJECTIVES: We used Canadian population-based data to examine changes in the health of caregivers of children with complex health problems compared with caregivers of healthy children over a 10-year time period.
METHODS: The National Longitudinal Survey of Children and Youth collected data biennially from 9401 children and their caregivers in 6 waves from 1994-1995 to 2004-2005. We conducted growth-curve analyses of these data to model self-reported general health and depressive symptoms for 4 groups of caregivers: caregivers of healthy children, and caregivers of children with 1, 2, or at least 3 of 4 conceptually distinct indicators of child health problems. We modeled covariates for children (age, gender, only-child status) and caregivers (age, gender, education, income, marital status).
RESULTS: After we controlled for covariates, caregiver health outcomes worsened incrementally with increasing complexity of child health problems. Change in self-reported general health and depressive symptoms over the 10-year period was consistent across all groups of caregivers.
CONCLUSIONS: Poorer health among caregivers of children with health problems can persist for many years and is associated with complexity of child health problems. Attention to parental health should form a component of health care services for children with health problems.

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Mesh:

Year:  2011        PMID: 22021302      PMCID: PMC3222435          DOI: 10.2105/AJPH.2011.300298

Source DB:  PubMed          Journal:  Am J Public Health        ISSN: 0090-0036            Impact factor:   9.308


  43 in total

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3.  Life course impacts of parenting a child with a disability.

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5.  Feelings of depression and parenting competence of mothers of handicapped and nonhandicapped infants: a longitudinal study.

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6.  Canadian normative data for the SF-36 health survey. Canadian Multicentre Osteoporosis Study Research Group.

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Review 7.  National Institutes of Health Consensus Development Conference Statement: diagnosis and treatment of attention-deficit/hyperactivity disorder (ADHD)

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9.  Childhood cancer: a 4-year prospective study of the psychological adjustment of children and parents.

Authors:  M Sawyer; G Antoniou; I Toogood; M Rice; P Baghurst
Journal:  J Pediatr Hematol Oncol       Date:  2000 May-Jun       Impact factor: 1.289

10.  Longitudinal evaluations of psychological distress in parents of children with malignancies.

Authors:  G Magni; M Carli; D De Leo; M Tshilolo; L Zanesco
Journal:  Acta Paediatr Scand       Date:  1986-03
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  25 in total

1.  Health and well-being in midlife parents of children with special health needs.

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3.  Resourcefulness training intervention: a promising approach to improve mental health of mothers with technology-dependent children.

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4.  The Comorbidity of Physical, Mental, and Developmental Conditions Associated with Childhood Adversity: A Population Based Study.

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5.  The Mental and Physical Health of Mothers of Children with Special Health Care Needs in the United States.

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6.  Caregiver Burden in Caregivers of Children With Special Health Care Needs and Association With Chronic Pain.

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Journal:  Med Care       Date:  2022-05-01       Impact factor: 2.983

7.  The impact of chronic physical illness, maternal depressive symptoms, family functioning, and self-esteem on symptoms of anxiety and depression in children.

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8.  Factors Related to Depressive Symptoms in Mothers of Technology-Dependent Children.

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Review 9.  Children with medical complexity in Canada.

Authors:  Tammie Dewan; Eyal Cohen
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10.  Social Determinants of Health and ADHD Symptoms in Preschool-Age Children.

Authors:  Andrea E Spencer; Rachel Oblath; R Christopher Sheldrick; Lauren C Ng; Michael Silverstein; Arvin Garg
Journal:  J Atten Disord       Date:  2021-03-01       Impact factor: 3.256

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