Development of a risk classification model in early pregnancy to screen for suboptimal postnatal mother-to-infant bonding: A prospective cohort study.

<h4>Background</h4>Previous studies identified demographic, reproduction-related and psychosocial correlates of suboptimal mother-to-infant bonding. Their joint informative value was still unknown. This study aimed to develop a multivariable model to screen early in pregnancy for subopti...

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Main Authors: Elke Tichelman, Jens Henrichs, François G Schellevis, Marjolein Y Berger, Huibert Burger
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2020-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0241574
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spelling doaj-70bbbfb0ed6a4bcd8d2dcda2068304c02021-03-04T12:25:36ZengPublic Library of Science (PLoS)PLoS ONE1932-62032020-01-011511e024157410.1371/journal.pone.0241574Development of a risk classification model in early pregnancy to screen for suboptimal postnatal mother-to-infant bonding: A prospective cohort study.Elke TichelmanJens HenrichsFrançois G SchellevisMarjolein Y BergerHuibert Burger<h4>Background</h4>Previous studies identified demographic, reproduction-related and psychosocial correlates of suboptimal mother-to-infant bonding. Their joint informative value was still unknown. This study aimed to develop a multivariable model to screen early in pregnancy for suboptimal postnatal mother-to-infant bonding and to transform it into a risk classification model.<h4>Methods</h4>Prospective cohort study conducted at 116 midwifery centers between 2010-2014. 634 women reported on the Mother-to-Infant Bonding questionnaire in 2015-2016. A broad range of determinants before 13 weeks of gestation were considered. Missing data were described, analyzed and imputed by multiple imputation. Multivariable logistic regression with backward elimination was used to develop a screening model. The explained variance, the Area Under the Curve of the final model were calculated and a Hosmer and Lemeshow test performed. Finally, we designed a risk classification model.<h4>Results</h4>The prevalence of suboptimal mother-to-infant bonding was 11%. The estimated probability of suboptimal mother-to-infant can be calculated: P(MIBS≥4) = 1/(1+exp(-(-4.391+(parity× 0.519)+(Adult attachment avoidance score× 0.040))). The explained variance was 14% and the Area Under the Curve was 0.750 (95%CI 0.690-0.809). The Hosmer and Lemeshow test had a p-value of 0.21. This resulted in a risk classification model.<h4>Conclusion</h4>Parity and adult attachment avoidance were the strongest independent determinants. Higher parity and higher levels of adult attachment avoidance are associated with an increased risk of suboptimal mother-to-infant bonding. The model and risk classification model should be externally validated and optimized before use in daily practice. Future research should include an external validation study, a study into the additional value of non-included determinants and finally a study on the impact and feasibility of the screening model.https://doi.org/10.1371/journal.pone.0241574
collection DOAJ
language English
format Article
sources DOAJ
author Elke Tichelman
Jens Henrichs
François G Schellevis
Marjolein Y Berger
Huibert Burger
spellingShingle Elke Tichelman
Jens Henrichs
François G Schellevis
Marjolein Y Berger
Huibert Burger
Development of a risk classification model in early pregnancy to screen for suboptimal postnatal mother-to-infant bonding: A prospective cohort study.
PLoS ONE
author_facet Elke Tichelman
Jens Henrichs
François G Schellevis
Marjolein Y Berger
Huibert Burger
author_sort Elke Tichelman
title Development of a risk classification model in early pregnancy to screen for suboptimal postnatal mother-to-infant bonding: A prospective cohort study.
title_short Development of a risk classification model in early pregnancy to screen for suboptimal postnatal mother-to-infant bonding: A prospective cohort study.
title_full Development of a risk classification model in early pregnancy to screen for suboptimal postnatal mother-to-infant bonding: A prospective cohort study.
title_fullStr Development of a risk classification model in early pregnancy to screen for suboptimal postnatal mother-to-infant bonding: A prospective cohort study.
title_full_unstemmed Development of a risk classification model in early pregnancy to screen for suboptimal postnatal mother-to-infant bonding: A prospective cohort study.
title_sort development of a risk classification model in early pregnancy to screen for suboptimal postnatal mother-to-infant bonding: a prospective cohort study.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2020-01-01
description <h4>Background</h4>Previous studies identified demographic, reproduction-related and psychosocial correlates of suboptimal mother-to-infant bonding. Their joint informative value was still unknown. This study aimed to develop a multivariable model to screen early in pregnancy for suboptimal postnatal mother-to-infant bonding and to transform it into a risk classification model.<h4>Methods</h4>Prospective cohort study conducted at 116 midwifery centers between 2010-2014. 634 women reported on the Mother-to-Infant Bonding questionnaire in 2015-2016. A broad range of determinants before 13 weeks of gestation were considered. Missing data were described, analyzed and imputed by multiple imputation. Multivariable logistic regression with backward elimination was used to develop a screening model. The explained variance, the Area Under the Curve of the final model were calculated and a Hosmer and Lemeshow test performed. Finally, we designed a risk classification model.<h4>Results</h4>The prevalence of suboptimal mother-to-infant bonding was 11%. The estimated probability of suboptimal mother-to-infant can be calculated: P(MIBS≥4) = 1/(1+exp(-(-4.391+(parity× 0.519)+(Adult attachment avoidance score× 0.040))). The explained variance was 14% and the Area Under the Curve was 0.750 (95%CI 0.690-0.809). The Hosmer and Lemeshow test had a p-value of 0.21. This resulted in a risk classification model.<h4>Conclusion</h4>Parity and adult attachment avoidance were the strongest independent determinants. Higher parity and higher levels of adult attachment avoidance are associated with an increased risk of suboptimal mother-to-infant bonding. The model and risk classification model should be externally validated and optimized before use in daily practice. Future research should include an external validation study, a study into the additional value of non-included determinants and finally a study on the impact and feasibility of the screening model.
url https://doi.org/10.1371/journal.pone.0241574
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