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...
Published in: | Journal of Epidemiology and Community Health |
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2020
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Online Access: | https://pure.qub.ac.uk/en/publications/8c47f8e9-c04d-414a-81da-7e9b3a41ad3e https://doi.org/10.1136/jech-2019-213154 https://pureadmin.qub.ac.uk/ws/files/213361057/jech_2019_213154.full.pdf |
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ftqueensubelpubl:oai:pure.qub.ac.uk/portal:publications/8c47f8e9-c04d-414a-81da-7e9b3a41ad3e 2024-05-19T07:45:57+00:00 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, Hannan 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 2020-06-24 application/pdf https://pure.qub.ac.uk/en/publications/8c47f8e9-c04d-414a-81da-7e9b3a41ad3e https://doi.org/10.1136/jech-2019-213154 https://pureadmin.qub.ac.uk/ws/files/213361057/jech_2019_213154.full.pdf eng eng https://pure.qub.ac.uk/en/publications/8c47f8e9-c04d-414a-81da-7e9b3a41ad3e info:eu-repo/semantics/openAccess Parmar , P , Lowry , E , Vehmeijer , F , El Marroun , H , Lewin , A , Tolvanen , M , Tzala , E , Ala-Mursula , L , Herzig , K-H , Miettunen , J , Prokopenko , I , Rautio , N , Jaddoe , V W , Järvelin , M-R , Felix , J & Sebert , S 2020 , ' Understanding the cumulative risk of maternal prenatal biopsychosocial factors on birth weight: a DynaHEALTH study on two birth cohorts ' , Journal of Epidemiology and Community Health . https://doi.org/10.1136/jech-2019-213154 article 2020 ftqueensubelpubl https://doi.org/10.1136/jech-2019-213154 2024-05-02T00:36:13Z 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. Article in Journal/Newspaper Northern Finland Queen's University Belfast Research Portal Journal of Epidemiology and Community Health jech-2019-213154 |
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Open Polar |
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Queen's University Belfast Research Portal |
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ftqueensubelpubl |
language |
English |
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 |
Article in Journal/Newspaper |
author |
Parmar, Priyanka Lowry, Estelle Vehmeijer, Florianne El Marroun, Hannan 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 |
spellingShingle |
Parmar, Priyanka Lowry, Estelle Vehmeijer, Florianne El Marroun, Hannan 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 |
author_facet |
Parmar, Priyanka Lowry, Estelle Vehmeijer, Florianne El Marroun, Hannan 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 |
publishDate |
2020 |
url |
https://pure.qub.ac.uk/en/publications/8c47f8e9-c04d-414a-81da-7e9b3a41ad3e https://doi.org/10.1136/jech-2019-213154 https://pureadmin.qub.ac.uk/ws/files/213361057/jech_2019_213154.full.pdf |
genre |
Northern Finland |
genre_facet |
Northern Finland |
op_source |
Parmar , P , Lowry , E , Vehmeijer , F , El Marroun , H , Lewin , A , Tolvanen , M , Tzala , E , Ala-Mursula , L , Herzig , K-H , Miettunen , J , Prokopenko , I , Rautio , N , Jaddoe , V W , Järvelin , M-R , Felix , J & Sebert , S 2020 , ' Understanding the cumulative risk of maternal prenatal biopsychosocial factors on birth weight: a DynaHEALTH study on two birth cohorts ' , Journal of Epidemiology and Community Health . https://doi.org/10.1136/jech-2019-213154 |
op_relation |
https://pure.qub.ac.uk/en/publications/8c47f8e9-c04d-414a-81da-7e9b3a41ad3e |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1136/jech-2019-213154 |
container_title |
Journal of Epidemiology and Community Health |
container_start_page |
jech-2019-213154 |
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1799486070182641664 |