Understanding the cumulative risk of maternal prenatal biopsychosocial factors on birth weight: a DynaHEALTH study on two birth cohorts
Background There are various maternal prenatal biopsychosocial (BPS) predictors of birth weight, making it difficult to quantify their cumulative relationship. Methods We studied two birth cohorts: Northern Finland Birth Cohort 1986 (NFBC1986) born in 1985–1986 and the Generation R Study (from the N...
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fthighwire:oai:open-archive.highwire.org:jech:74/11/933 2023-05-15T17:42:44+02:00 Understanding the cumulative risk of maternal prenatal biopsychosocial factors on birth weight: a DynaHEALTH study on two birth cohorts Parmar, Priyanka Lowry, Estelle Vehmeijer, Florianne El Marroun, Hanan Lewin, Alex Tolvanen, Mimmi Tzala, Evangelia Ala-Mursula, Leena Herzig, Karl-Heinz Miettunen, Jouko Prokopenko, Inga Rautio, Nina Jaddoe, Vincent WV Järvelin, Marjo-Riitta Felix, Janine Sebert, Sylvain 2020-11-01 00:00:00.0 text/html http://jech.bmj.com/cgi/content/short/74/11/933 https://doi.org/10.1136/jech-2019-213154 en eng BMJ Publishing Group Ltd http://jech.bmj.com/cgi/content/short/74/11/933 http://dx.doi.org/10.1136/jech-2019-213154 Copyright (C) 2020, BMJ Publishing Group Ltd Original research TEXT 2020 fthighwire https://doi.org/10.1136/jech-2019-213154 2020-10-20T11:13:00Z Background There are various maternal prenatal biopsychosocial (BPS) predictors of birth weight, making it difficult to quantify their cumulative relationship. Methods We studied two birth cohorts: Northern Finland Birth Cohort 1986 (NFBC1986) born in 1985–1986 and the Generation R Study (from the Netherlands) born in 2002–2006. In NFBC1986, we selected variables depicting BPS exposure in association with birth weight and performed factor analysis to derive latent constructs representing the relationship between these variables. In Generation R, the same factors were generated weighted by loadings of NFBC1986. Factor scores from each factor were then allocated into tertiles and added together to calculate a cumulative BPS score. In all cases, we used regression analyses to explore the relationship with birth weight corrected for sex and gestational age and additionally adjusted for other factors. Results Factor analysis supported a four-factor structure, labelled closely to represent their characteristics as ‘Factor1-BMI’ (body mass index), ‘Factor2-DBP’ (diastolic blood pressure), ‘Factor3-Socioeconomic-Obstetric-Profile’ and ‘Factor4-Parental-Lifestyle ’ . In both cohorts, ‘Factor1-BMI’ was positively associated with birth weight, whereas other factors showed negative association. ‘Factor3-Socioeconomic-Obstetric-Profile’ and ‘Factor4-Parental-Lifestyle’ had the greatest effect size, explaining 30% of the variation in birth weight. Associations of the factors with birth weight were largely driven by ‘Factor1-BMI’. Graded decrease in birth weight was observed with increasing cumulative BPS score, jointly evaluating four factors in both cohorts. Conclusion Our study is a proof of concept for maternal prenatal BPS hypothesis, highlighting the components snowball effect on birth weight in two different European birth cohorts. Text Northern Finland HighWire Press (Stanford University) Journal of Epidemiology and Community Health jech-2019-213154 |
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HighWire Press (Stanford University) |
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English |
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Original research |
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Original research Parmar, Priyanka Lowry, Estelle Vehmeijer, Florianne El Marroun, Hanan Lewin, Alex Tolvanen, Mimmi Tzala, Evangelia Ala-Mursula, Leena Herzig, Karl-Heinz Miettunen, Jouko Prokopenko, Inga Rautio, Nina Jaddoe, Vincent WV Järvelin, Marjo-Riitta Felix, Janine Sebert, Sylvain Understanding the cumulative risk of maternal prenatal biopsychosocial factors on birth weight: a DynaHEALTH study on two birth cohorts |
topic_facet |
Original research |
description |
Background There are various maternal prenatal biopsychosocial (BPS) predictors of birth weight, making it difficult to quantify their cumulative relationship. Methods We studied two birth cohorts: Northern Finland Birth Cohort 1986 (NFBC1986) born in 1985–1986 and the Generation R Study (from the Netherlands) born in 2002–2006. In NFBC1986, we selected variables depicting BPS exposure in association with birth weight and performed factor analysis to derive latent constructs representing the relationship between these variables. In Generation R, the same factors were generated weighted by loadings of NFBC1986. Factor scores from each factor were then allocated into tertiles and added together to calculate a cumulative BPS score. In all cases, we used regression analyses to explore the relationship with birth weight corrected for sex and gestational age and additionally adjusted for other factors. Results Factor analysis supported a four-factor structure, labelled closely to represent their characteristics as ‘Factor1-BMI’ (body mass index), ‘Factor2-DBP’ (diastolic blood pressure), ‘Factor3-Socioeconomic-Obstetric-Profile’ and ‘Factor4-Parental-Lifestyle ’ . In both cohorts, ‘Factor1-BMI’ was positively associated with birth weight, whereas other factors showed negative association. ‘Factor3-Socioeconomic-Obstetric-Profile’ and ‘Factor4-Parental-Lifestyle’ had the greatest effect size, explaining 30% of the variation in birth weight. Associations of the factors with birth weight were largely driven by ‘Factor1-BMI’. Graded decrease in birth weight was observed with increasing cumulative BPS score, jointly evaluating four factors in both cohorts. Conclusion Our study is a proof of concept for maternal prenatal BPS hypothesis, highlighting the components snowball effect on birth weight in two different European birth cohorts. |
format |
Text |
author |
Parmar, Priyanka Lowry, Estelle Vehmeijer, Florianne El Marroun, Hanan Lewin, Alex Tolvanen, Mimmi Tzala, Evangelia Ala-Mursula, Leena Herzig, Karl-Heinz Miettunen, Jouko Prokopenko, Inga Rautio, Nina Jaddoe, Vincent WV Järvelin, Marjo-Riitta Felix, Janine Sebert, Sylvain |
author_facet |
Parmar, Priyanka Lowry, Estelle Vehmeijer, Florianne El Marroun, Hanan Lewin, Alex Tolvanen, Mimmi Tzala, Evangelia Ala-Mursula, Leena Herzig, Karl-Heinz Miettunen, Jouko Prokopenko, Inga Rautio, Nina Jaddoe, Vincent WV Järvelin, Marjo-Riitta Felix, Janine Sebert, Sylvain |
author_sort |
Parmar, Priyanka |
title |
Understanding the cumulative risk of maternal prenatal biopsychosocial factors on birth weight: a DynaHEALTH study on two birth cohorts |
title_short |
Understanding the cumulative risk of maternal prenatal biopsychosocial factors on birth weight: a DynaHEALTH study on two birth cohorts |
title_full |
Understanding the cumulative risk of maternal prenatal biopsychosocial factors on birth weight: a DynaHEALTH study on two birth cohorts |
title_fullStr |
Understanding the cumulative risk of maternal prenatal biopsychosocial factors on birth weight: a DynaHEALTH study on two birth cohorts |
title_full_unstemmed |
Understanding the cumulative risk of maternal prenatal biopsychosocial factors on birth weight: a DynaHEALTH study on two birth cohorts |
title_sort |
understanding the cumulative risk of maternal prenatal biopsychosocial factors on birth weight: a dynahealth study on two birth cohorts |
publisher |
BMJ Publishing Group Ltd |
publishDate |
2020 |
url |
http://jech.bmj.com/cgi/content/short/74/11/933 https://doi.org/10.1136/jech-2019-213154 |
genre |
Northern Finland |
genre_facet |
Northern Finland |
op_relation |
http://jech.bmj.com/cgi/content/short/74/11/933 http://dx.doi.org/10.1136/jech-2019-213154 |
op_rights |
Copyright (C) 2020, BMJ Publishing Group Ltd |
op_doi |
https://doi.org/10.1136/jech-2019-213154 |
container_title |
Journal of Epidemiology and Community Health |
container_start_page |
jech-2019-213154 |
_version_ |
1766144646159794176 |