Maternal Parenting Stress in the Face of Early Regulatory Disorders in Infancy: A Machine Learning Approach to Identify What Matters Most
Autor: | Svenja Taubner, Paul Schröder-Pfeifer, Anna Georg, Manfred Cierpka |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
media_common.quotation_subject
RC435-571 Anger parental self-efficacy Machine learning computer.software_genre early regulatory disorders Miscarriage 03 medical and health sciences 0302 clinical medicine 030225 pediatrics machine learning algorithms medicine parenting stress 0501 psychology and cognitive sciences Medical history Original Research media_common Psychiatry Pregnancy Crying business.industry 05 social sciences Social environment infant mental health diagnostic medicine.disease Mental health Psychiatry and Mental health Artificial intelligence medicine.symptom business Psychosocial computer 050104 developmental & child psychology |
Zdroj: | Frontiers in Psychiatry, Vol 12 (2021) Frontiers in Psychiatry |
ISSN: | 1664-0640 |
Popis: | Objective: Early regulatory disorders (ERD) in infancy are typically associated with high parenting stress (PS). Theoretical and empirical literature suggests a wide range of factors that may contribute to PS related to ERD. The aim of this study was to identify key predictors of maternal PS within a large predictor data set in a sample of N = 135 mothers of infants diagnosed with ERD.Methods: We used machine learning to identify relevant predictors. Maternal PS was assessed with the Parenting Stress Index. The multivariate dataset assessed cross-sectionally consisted of 464 self-reported and clinically rated variables covering mother-reported psychological distress, maternal self-efficacy, parental reflective functioning, socio-demographics, each parent's history of illness, recent significant life events, former miscarriage/abortion, pregnancy, obstetric history, infants' medical history, development, and social environment. Variables were drawn from behavioral diaries on regulatory symptoms and parental co-regulative behavior as well as a clinical interview which was utilized to diagnose ERD and to assess clinically rated regulatory symptoms, quality of parent–infant relationship, organic/biological and psychosocial risks, and social–emotional functioning.Results: The final prediction model identified 11 important variables summing up to the areas maternal self-efficacy, psychological distress (particularly depression and anger-hostility), infant regulatory symptoms (particularly duration of fussing/crying), and age-appropriate physical development. The RMSE (i.e., prediction accuracy) of the final model applied to the test set was 21.72 (R2 = 0.58).Conclusions: This study suggests that among behavioral, environmental, developmental, parent–infant relationship, and mental health variables, a mother's higher self-efficacy, psychological distress symptoms particularly depression and anger symptoms, symptoms in the child particularly fussing/crying symptoms, and age-inappropriate physical development are associated with higher maternal PS. With these factors identified, clinicians may more efficiently assess a mother's PS related to ERD in a low-risk help-seeking sample. |
Databáze: | OpenAIRE |
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