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Spotlight on maternal preconception health inequalities in Northern Ireland: an exploration of 255,177 pregnancies

Spotlight on maternal preconception health inequalities in Northern Ireland: an exploration of 255,177 pregnancies
Spotlight on maternal preconception health inequalities in Northern Ireland: an exploration of 255,177 pregnancies
Objectives: the present study utilises population-based maternity healthcare data recorded during antenatal booking appointments to explore differences in key preconception health indicators by deprivation. These indicators include periconception folic acid supplement use, body mass index (BMI), pregnancy planning, and smoking.


Methods: a retrospective study was conducted on a sample of 255,177 pregnancies recorded in the Northern Ireland MATernity System during 2011-2021. The prevalence of each included preconception health indicator was assessed according to deprivation quintiles, calculated using the Northern Ireland Multiple Deprivation Measure 2017. Multinomial logistic regression models explored the relationship between each indicator and deprivation quintiles. Patient and Public Involvement and Engagement was carried out throughout the research (e.g., prioritisation of indicators, interpretation of findings).


Data for this project were provided by the HSC Honest Broker Service; any views or opinions presented are solely those of the author.


Results: women living in the least deprived quintile had fewer preconception risk factors than those in the other four deprivation quintiles. Notably, preconception supplement use of 400μg, the general recommended dose for reproductive-age women, was lower among women in the most deprived quintile (21.4%) than in the least deprived (44.1%). The odds of having obesity, versus a healthy weight, were higher in the most deprived quintile than in the least deprived. For instance, for obesity class III (BMI≥40.00 kg/m2), the model estimated an adjusted Odds Ratio (aOR) of 2.52 (95%CI 2.30-2.75). Women living in the most deprived quintile were more likely to report an unplanned pregnancy than those in the least deprived quintile (aOR 2.18; 95%CI 2.10-2.27) and to report smoking cigarettes (aOR 4.18; 95%CI 3.99-4.38).


Conclusion: this analysis of population-based routinely collected maternity data highlighted stark inequalities regarding women’s preconception health in Northern Ireland. These findings can serve as a reference point to inform future interventions, policy, and the ongoing monitoring of preconception health.
2399-4908
Cassinelli, Emma
7a364a8d-0c42-4812-b4f8-4dc01526c10d
Kent, Lisa
b716b675-7589-48c0-920d-e15116ef7a2c
Eastwood, Kelly-Ann
de68b440-509d-4bba-97c3-4f23047fbedb
Schoenaker, Danielle
84b96b87-4070-45a5-9777-5a1e4e45e818
McKinley, Michelle
6d4a025d-6dd5-4268-be52-1d18677f1ede
McGowan, Laura
25b64423-c0f3-4fe4-bdb2-3053f42f8032
Cassinelli, Emma
7a364a8d-0c42-4812-b4f8-4dc01526c10d
Kent, Lisa
b716b675-7589-48c0-920d-e15116ef7a2c
Eastwood, Kelly-Ann
de68b440-509d-4bba-97c3-4f23047fbedb
Schoenaker, Danielle
84b96b87-4070-45a5-9777-5a1e4e45e818
McKinley, Michelle
6d4a025d-6dd5-4268-be52-1d18677f1ede
McGowan, Laura
25b64423-c0f3-4fe4-bdb2-3053f42f8032

Cassinelli, Emma, Kent, Lisa, Eastwood, Kelly-Ann, Schoenaker, Danielle, McKinley, Michelle and McGowan, Laura (2025) Spotlight on maternal preconception health inequalities in Northern Ireland: an exploration of 255,177 pregnancies. International Journal of Population Data Science, 10 (4). (doi:10.23889/ijpds.v10i4.3117).

Record type: Meeting abstract

Abstract

Objectives: the present study utilises population-based maternity healthcare data recorded during antenatal booking appointments to explore differences in key preconception health indicators by deprivation. These indicators include periconception folic acid supplement use, body mass index (BMI), pregnancy planning, and smoking.


Methods: a retrospective study was conducted on a sample of 255,177 pregnancies recorded in the Northern Ireland MATernity System during 2011-2021. The prevalence of each included preconception health indicator was assessed according to deprivation quintiles, calculated using the Northern Ireland Multiple Deprivation Measure 2017. Multinomial logistic regression models explored the relationship between each indicator and deprivation quintiles. Patient and Public Involvement and Engagement was carried out throughout the research (e.g., prioritisation of indicators, interpretation of findings).


Data for this project were provided by the HSC Honest Broker Service; any views or opinions presented are solely those of the author.


Results: women living in the least deprived quintile had fewer preconception risk factors than those in the other four deprivation quintiles. Notably, preconception supplement use of 400μg, the general recommended dose for reproductive-age women, was lower among women in the most deprived quintile (21.4%) than in the least deprived (44.1%). The odds of having obesity, versus a healthy weight, were higher in the most deprived quintile than in the least deprived. For instance, for obesity class III (BMI≥40.00 kg/m2), the model estimated an adjusted Odds Ratio (aOR) of 2.52 (95%CI 2.30-2.75). Women living in the most deprived quintile were more likely to report an unplanned pregnancy than those in the least deprived quintile (aOR 2.18; 95%CI 2.10-2.27) and to report smoking cigarettes (aOR 4.18; 95%CI 3.99-4.38).


Conclusion: this analysis of population-based routinely collected maternity data highlighted stark inequalities regarding women’s preconception health in Northern Ireland. These findings can serve as a reference point to inform future interventions, policy, and the ongoing monitoring of preconception health.

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Published date: 28 August 2025

Identifiers

Local EPrints ID: 509493
URI: http://eprints.soton.ac.uk/id/eprint/509493
ISSN: 2399-4908
PURE UUID: 33b1902e-a1da-46de-840b-4d46a5ca91f1
ORCID for Emma Cassinelli: ORCID iD orcid.org/0000-0001-8778-0801
ORCID for Danielle Schoenaker: ORCID iD orcid.org/0000-0002-7652-990X

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Date deposited: 24 Feb 2026 17:46
Last modified: 28 Feb 2026 03:21

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Contributors

Author: Emma Cassinelli ORCID iD
Author: Lisa Kent
Author: Kelly-Ann Eastwood
Author: Michelle McKinley
Author: Laura McGowan

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