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Cited by 454

The DOI matches its Crossref record; 63 of the 63 references it cites were found in a registry or an index.

A Structural Modeling Approach to the Understanding of Parenting Stress

Östberg, Monica, Hagekull, Berit·2000·Journal of Clinical Child Psychology

Abstract

Tested and cross-validated a multidimensional model of predictors of parenting stress on data from a population-based sample of Swedish mothers (N = 1,081) with children ages 6 months to 3 years. The study was a cross-sectional questionnaire study, focusing on the explanation of variance in parenting stress. Structural equation modeling procedures permitted disentanglement of total, direct, and indirect effects. A Swedish instrument based on parts of the Parent Domain in the Parenting Stress Index was used as a measure of stress. The results provided general support for the proposed model. High workload, low social support, perception of the child as fussy-difficult, negative life events, child caretaking hassles, more children in the family, and high maternal age related directly to more stress. Child irregularity contributed indirectly to mother's experienced stress. No buffering effects of social support were found. Forty-eight percent of the variance in the parenting stress measure was explained by the model. Implications for interventions were discussed.

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Metadata

Authors
Östberg, M., & Hagekull, B.
Venue
Journal of Clinical Child Psychology
Published
2000-11
Volume
29
Issue
4
Pages
615-625
ISSN
0047-228X (ISSN-L)
OpenAlex
W2053192931
Cited by
454
References
63
FWCI
3.53
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Structural Modeling Approach to the Understanding of Parenting Stress. https://app.cochat.ai/papers/10.1207/s15374424jccp2904_13
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Östberg, M., & Hagekull, B. (2000). A Structural Modeling Approach to the Understanding of Parenting Stress. Journal of Clinical Child Psychology. https://doi.org/10.1207/s15374424jccp2904_13

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.