Abstract
Background
Early detection of vulnerability during or before pregnancy can contribute to optimizing the first 1000 days, a crucial period for children’s development and health. We aimed to identify classes of vulnerability among pregnant women in the Netherlands using pre-pregnancy data on a wide range of social risk and protective factors, and validate these classes against the risk of adverse outcomes.
Methods
We conducted a latent class analysis based on 42 variables derived from nationwide observational data sources and self-reported data. Variables included individual, socioeconomic, lifestyle, psychosocial and household characteristics, self-reported health, healthcare utilization, life-events and living conditions. We compared classes in relation to adverse outcomes using logistic regression analyses.
Results
In the study population of 4172 women, we identified five latent classes. The largest ‘healthy and socioeconomically stable’-class [n = 2040 (48.9%)] mostly shared protective factors, such as paid work and positively perceived health. The classes ‘high care utilization’ [n = 485 (11.6%)], ‘socioeconomic vulnerability’ [n = 395 (9.5%)] and ‘psychosocial vulnerability’ [n = 1005 (24.0%)] were characterized by risk factors limited to one specific domain and protective factors in others. Women classified into the ‘multidimensional vulnerability’-class [n = 250 (6.0%)] shared multiple risk factors in different domains (psychosocial, medical and socioeconomic risk factors). Multidimensional vulnerability was associated with adverse outcomes, such as premature birth and caesarean section.
Conclusions
Co-existence of multiple risk factors in various domains is associated with adverse outcomes for mother and child. Early detection of vulnerability and strategies to improve parental health and well-being might benefit from focussing on different domains and combining medical and social care and support.
Early detection of vulnerability during or before pregnancy can contribute to optimizing the first 1000 days, a crucial period for children’s development and health. We aimed to identify classes of vulnerability among pregnant women in the Netherlands using pre-pregnancy data on a wide range of social risk and protective factors, and validate these classes against the risk of adverse outcomes.
Methods
We conducted a latent class analysis based on 42 variables derived from nationwide observational data sources and self-reported data. Variables included individual, socioeconomic, lifestyle, psychosocial and household characteristics, self-reported health, healthcare utilization, life-events and living conditions. We compared classes in relation to adverse outcomes using logistic regression analyses.
Results
In the study population of 4172 women, we identified five latent classes. The largest ‘healthy and socioeconomically stable’-class [n = 2040 (48.9%)] mostly shared protective factors, such as paid work and positively perceived health. The classes ‘high care utilization’ [n = 485 (11.6%)], ‘socioeconomic vulnerability’ [n = 395 (9.5%)] and ‘psychosocial vulnerability’ [n = 1005 (24.0%)] were characterized by risk factors limited to one specific domain and protective factors in others. Women classified into the ‘multidimensional vulnerability’-class [n = 250 (6.0%)] shared multiple risk factors in different domains (psychosocial, medical and socioeconomic risk factors). Multidimensional vulnerability was associated with adverse outcomes, such as premature birth and caesarean section.
Conclusions
Co-existence of multiple risk factors in various domains is associated with adverse outcomes for mother and child. Early detection of vulnerability and strategies to improve parental health and well-being might benefit from focussing on different domains and combining medical and social care and support.
| Original language | English |
|---|---|
| Pages (from-to) | 25-34 |
| Number of pages | 10 |
| Journal | European Journal of Public Health |
| Volume | 33 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - Feb 2023 |
Bibliographical note
Funding Information:This study was supported by funding. The Dutch Ministry of Health, Welfare and Sport funded the monitor of the Dutch Solid Start-programme that was conducted by the National Institute for Public Health and the Environment (J.M.M., E.F.d.V. and J.N.S., project numbers V/010038/01 and V/060438/22). The Bernard van Leer Foundation provided funding for different projects on the topic of vulnerability before, during and after pregnancy for Erasmus MC (L.v.d.M., L.C.M.B., A.J.M.W. and E.A.P.S., grant number NET-2017-096). J.C.K.d.J. received subsidy from the Netherlands Organization of Health Research and Development to study vulnerable and unintended pregnancies (grant number 554002006). The funders of the study had no role in study design, data collection, data analysis, data interpretation, writing the manuscript and submission of the article for publication.
Funding Information:
This study was supported by funding. The Dutch Ministry of Health, Welfare and Sport funded the monitor of the Dutch Solid Start-programme that was conducted by the National Institute for Public Health and the Environment (J.M.M., E.F.d.V. and J.N.S., project numbers V/010038/01 and V/060438/22). The Bernard van Leer Foundation provided funding for different projects on the topic of vulnerability before, during and after pregnancy for Erasmus MC (L.v.d.M., L.C.M.B., A.J.M.W. and E.A.P.S., grant number NET-2017-096). J.C.K.d.J. received subsidy from the Netherlands Organization of Health Research and Development to study vulnerable and unintended pregnancies (grant number 554002006). The funders of the study had no role in study design, data collection, data analysis, data interpretation, writing the manuscript and submission of the article for publication.
Publisher Copyright:
© 2022 The Author(s). Published by Oxford University Press on behalf of the European Public Health Association.