Association of prenatal medical risk with breastfeeding outcomes up to 12 months in the All Our Families community-based birth cohort
Abstract Background Prenatal medical risk describes physical health issues or biological factors that predate or arise during pregnancy which heighten the risk of adverse outcomes, and often warrant specialized obstetric care. The influence of the nature and magnitude of prenatal risk on breastfeedi...
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doaj-fd98f521872146a69037aa8c03486fc92021-09-19T11:56:22ZengBMCInternational Breastfeeding Journal1746-43582021-09-0116111210.1186/s13006-021-00413-0Association of prenatal medical risk with breastfeeding outcomes up to 12 months in the All Our Families community-based birth cohortNatalie V. Scime0Amy Metcalfe1Alberto Nettel-Aguirre2Suzanne C. Tough3Kathleen H. Chaput4Department of Community Health Sciences, Cumming School of Medicine, University of CalgaryDepartment of Community Health Sciences, Cumming School of Medicine, University of CalgaryCentre for Health and Social Analytics, National Institute for Applied Statistical Research, School of Mathematics and Statistics, University of WollongongDepartment of Community Health Sciences, Cumming School of Medicine, University of CalgaryDepartment of Community Health Sciences, Cumming School of Medicine, University of CalgaryAbstract Background Prenatal medical risk describes physical health issues or biological factors that predate or arise during pregnancy which heighten the risk of adverse outcomes, and often warrant specialized obstetric care. The influence of the nature and magnitude of prenatal risk on breastfeeding outcomes remains poorly understood. The objective of this study was to determine the association between prenatal medical risk and breastfeeding initiation and duration up to 1 year postpartum. Methods We analysed a subset of data from the All Our Families longitudinal cohort (n = 2706) of women in Calgary, Canada who delivered a liveborn infant between 2008 and 2010. Data were collected from self-report questionnaires and medical records. Women with complete data on prenatal medical risk factors and breastfeeding outcomes were included in this analysis. Prenatal medical risk was operationalized as one integer score of risk severity and four binary risk types capturing pre-pregnancy characteristics, past obstetric problems, current obstetric problems, and substance use. Outcomes were breastfeeding initiation defined as the infant ever receiving breast milk, and duration operationalized as still breastfeeding at 4 months, at 12 months, and time to breastfeeding cessation in weeks. We used logistic regression and Cox regression with right censoring at 52 weeks or attrition to calculate odds ratios (OR) and hazard ratios (HR), respectively, adjusting for sociodemographic vulnerability, parity, mode of delivery, and gestational age. Results Prenatal medical risk severity and type were not significantly associated with breastfeeding initiation, with the exception of pre-pregnancy risk type (OR 0.45; 95% CI 0.26, 0.77). Risk severity was associated with lower odds of breastfeeding to 4 months (OR 0.94; 95% CI 0.90, 0.99), 12 months (OR 0.93; 95% CI 0.87, 0.98), and earlier breastfeeding cessation (HR 1.05; 95% CI 1.02, 1.08). Associations with shorter breastfeeding length across the first postpartum year were observed for pre-pregnancy, current obstetric, and substance use risk types, but not past obstetric problems. Conclusion Prenatal medical risk is associated with shortened duration of breastfeeding. Women with prenatal medical risk may benefit from the proactive arrangement of lactation support before and following delivery to promote continued breastfeeding.https://doi.org/10.1186/s13006-021-00413-0Breast feedingPregnancy, high-riskPregnancy complicationsProspective studiesLogistic modelsSurvival analysis |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Natalie V. Scime Amy Metcalfe Alberto Nettel-Aguirre Suzanne C. Tough Kathleen H. Chaput |
spellingShingle |
Natalie V. Scime Amy Metcalfe Alberto Nettel-Aguirre Suzanne C. Tough Kathleen H. Chaput Association of prenatal medical risk with breastfeeding outcomes up to 12 months in the All Our Families community-based birth cohort International Breastfeeding Journal Breast feeding Pregnancy, high-risk Pregnancy complications Prospective studies Logistic models Survival analysis |
author_facet |
Natalie V. Scime Amy Metcalfe Alberto Nettel-Aguirre Suzanne C. Tough Kathleen H. Chaput |
author_sort |
Natalie V. Scime |
title |
Association of prenatal medical risk with breastfeeding outcomes up to 12 months in the All Our Families community-based birth cohort |
title_short |
Association of prenatal medical risk with breastfeeding outcomes up to 12 months in the All Our Families community-based birth cohort |
title_full |
Association of prenatal medical risk with breastfeeding outcomes up to 12 months in the All Our Families community-based birth cohort |
title_fullStr |
Association of prenatal medical risk with breastfeeding outcomes up to 12 months in the All Our Families community-based birth cohort |
title_full_unstemmed |
Association of prenatal medical risk with breastfeeding outcomes up to 12 months in the All Our Families community-based birth cohort |
title_sort |
association of prenatal medical risk with breastfeeding outcomes up to 12 months in the all our families community-based birth cohort |
publisher |
BMC |
series |
International Breastfeeding Journal |
issn |
1746-4358 |
publishDate |
2021-09-01 |
description |
Abstract Background Prenatal medical risk describes physical health issues or biological factors that predate or arise during pregnancy which heighten the risk of adverse outcomes, and often warrant specialized obstetric care. The influence of the nature and magnitude of prenatal risk on breastfeeding outcomes remains poorly understood. The objective of this study was to determine the association between prenatal medical risk and breastfeeding initiation and duration up to 1 year postpartum. Methods We analysed a subset of data from the All Our Families longitudinal cohort (n = 2706) of women in Calgary, Canada who delivered a liveborn infant between 2008 and 2010. Data were collected from self-report questionnaires and medical records. Women with complete data on prenatal medical risk factors and breastfeeding outcomes were included in this analysis. Prenatal medical risk was operationalized as one integer score of risk severity and four binary risk types capturing pre-pregnancy characteristics, past obstetric problems, current obstetric problems, and substance use. Outcomes were breastfeeding initiation defined as the infant ever receiving breast milk, and duration operationalized as still breastfeeding at 4 months, at 12 months, and time to breastfeeding cessation in weeks. We used logistic regression and Cox regression with right censoring at 52 weeks or attrition to calculate odds ratios (OR) and hazard ratios (HR), respectively, adjusting for sociodemographic vulnerability, parity, mode of delivery, and gestational age. Results Prenatal medical risk severity and type were not significantly associated with breastfeeding initiation, with the exception of pre-pregnancy risk type (OR 0.45; 95% CI 0.26, 0.77). Risk severity was associated with lower odds of breastfeeding to 4 months (OR 0.94; 95% CI 0.90, 0.99), 12 months (OR 0.93; 95% CI 0.87, 0.98), and earlier breastfeeding cessation (HR 1.05; 95% CI 1.02, 1.08). Associations with shorter breastfeeding length across the first postpartum year were observed for pre-pregnancy, current obstetric, and substance use risk types, but not past obstetric problems. Conclusion Prenatal medical risk is associated with shortened duration of breastfeeding. Women with prenatal medical risk may benefit from the proactive arrangement of lactation support before and following delivery to promote continued breastfeeding. |
topic |
Breast feeding Pregnancy, high-risk Pregnancy complications Prospective studies Logistic models Survival analysis |
url |
https://doi.org/10.1186/s13006-021-00413-0 |
work_keys_str_mv |
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