Public Health Genomics

Original Paper

Determining Pre-Conception Risk Profiles Using a National Online Self-Reported Risk Assessment: A Cross-Sectional Study

Vink-van Os L.C.A.a · Birnie E.a, d · van Vliet-Lachotzki E.H.b, c · Bonsel G.J.a · Steegers E.A.P.a

Author affiliations

aDivision of Obstetrics and Prenatal Medicine, Department of Obstetrics and Gynaecology, Erasmus University Medical Centre, Rotterdam, bDutch National Genetic Resource and Information Centre, Erfocentrum, Amersfoort, cDutch Genetic Alliance, VSOP, Soest, and dInstitute of Health Policy and Management, Erasmus University Rotterdam, Rotterdam, The Netherlands

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Public Health Genomics 2015;18:204-215

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Article / Publication Details

First-Page Preview
Abstract of Original Paper

Received: October 07, 2014
Accepted: March 06, 2015
Published online: May 06, 2015
Issue release date: July 2015

Number of Print Pages: 12
Number of Figures: 0
Number of Tables: 3

ISSN: 1662-4246 (Print)
eISSN: 1662-8063 (Online)

For additional information: https://beta.karger.com/PHG

Abstract

Aim: To measure the prevalence of health risk factors in women who are preparing for pregnancy, using an online publicly available questionnaire aimed at identifying personal and pre-conception risks and at providing tailored information. Methods: A nation-wide available, free, web-based, self-reported questionnaire for pre-conception use (in Dutch). Between May 2006 and August 2009, 89,946 questionnaires were completed (78,732 were from unique respondents) and available for research purposes, from which those of non-pregnant women (n = 66,617) were selected. Socio-demographic subgroups were distinguished by age, ethnicity, urban living area and living in a deprived neighbourhood. The four pre-conception risk domains were lifestyle, medical, reproductive and family history; together they were defining the risk profile. χ2 tests were used to compare the risk profiles among the subgroups. Results: The prevalences of the reported risk factors are given. The risk factor profiles revealed that the average, responding, non-pregnant, Dutch woman is exposed to a substantial number of risk factors. Different risk profiles were observed in the different socio-demographic subgroups. Women older than 36 years, of non-Western origin, living in urban areas and those in deprived neighbourhoods showed higher risk profiles, based on a larger number of risks, with significantly higher prevalences. Conclusion: Self-reported data from a large, self-selected, non-pregnant population who actively visited a web-site for reproductive information suggest the need for active general pre-conception care as risk factors were abundant. A considerable increase in attention for pre-conception care is justified; different subpopulations most likely require adapted approaches.

© 2015 S. Karger AG, Basel




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Article / Publication Details

First-Page Preview
Abstract of Original Paper

Received: October 07, 2014
Accepted: March 06, 2015
Published online: May 06, 2015
Issue release date: July 2015

Number of Print Pages: 12
Number of Figures: 0
Number of Tables: 3

ISSN: 1662-4246 (Print)
eISSN: 1662-8063 (Online)

For additional information: https://beta.karger.com/PHG


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