Maternal pre-pregnancy body mass index and risk of preterm birth: a collaboration using large routine health datasets

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Standard

Maternal pre-pregnancy body mass index and risk of preterm birth : a collaboration using large routine health datasets. / Cornish, R P; Magnus, M C; Urhoj, S K; Santorelli, G; Smithers, L G; Odd, D; Fraser, A; Håberg, S E; Nybo Andersen, A M; Birnie, K; Lynch, J W; Tilling, K; Lawlor, D A.

I: BMC Medicine, Bind 22, Nr. 1, 10, 2024.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Cornish, RP, Magnus, MC, Urhoj, SK, Santorelli, G, Smithers, LG, Odd, D, Fraser, A, Håberg, SE, Nybo Andersen, AM, Birnie, K, Lynch, JW, Tilling, K & Lawlor, DA 2024, 'Maternal pre-pregnancy body mass index and risk of preterm birth: a collaboration using large routine health datasets', BMC Medicine, bind 22, nr. 1, 10. https://doi.org/10.1186/s12916-023-03230-w

APA

Cornish, R. P., Magnus, M. C., Urhoj, S. K., Santorelli, G., Smithers, L. G., Odd, D., Fraser, A., Håberg, S. E., Nybo Andersen, A. M., Birnie, K., Lynch, J. W., Tilling, K., & Lawlor, D. A. (2024). Maternal pre-pregnancy body mass index and risk of preterm birth: a collaboration using large routine health datasets. BMC Medicine, 22(1), [10]. https://doi.org/10.1186/s12916-023-03230-w

Vancouver

Cornish RP, Magnus MC, Urhoj SK, Santorelli G, Smithers LG, Odd D o.a. Maternal pre-pregnancy body mass index and risk of preterm birth: a collaboration using large routine health datasets. BMC Medicine. 2024;22(1). 10. https://doi.org/10.1186/s12916-023-03230-w

Author

Cornish, R P ; Magnus, M C ; Urhoj, S K ; Santorelli, G ; Smithers, L G ; Odd, D ; Fraser, A ; Håberg, S E ; Nybo Andersen, A M ; Birnie, K ; Lynch, J W ; Tilling, K ; Lawlor, D A. / Maternal pre-pregnancy body mass index and risk of preterm birth : a collaboration using large routine health datasets. I: BMC Medicine. 2024 ; Bind 22, Nr. 1.

Bibtex

@article{cd36b20d283a4f2a9d853d4b21dfc489,
title = "Maternal pre-pregnancy body mass index and risk of preterm birth: a collaboration using large routine health datasets",
abstract = "BACKGROUND: Preterm birth (PTB) is a leading cause of child morbidity and mortality. Evidence suggests an increased risk with both maternal underweight and obesity, with some studies suggesting underweight might be a greater factor in spontaneous PTB (SPTB) and that the relationship might vary by parity. Previous studies have largely explored established body mass index (BMI) categories. Our aim was to compare associations of maternal pre-pregnancy BMI with any PTB, SPTB and medically indicated PTB (MPTB) among nulliparous and parous women across populations with differing characteristics, and to identify the optimal BMI with lowest risk for these outcomes.METHODS: We used three UK datasets, two USA datasets and one each from South Australia, Norway and Denmark, together including just under 29 million pregnancies resulting in a live birth or stillbirth after 24 completed weeks gestation. Fractional polynomial multivariable logistic regression was used to examine the relationship of maternal BMI with any PTB, SPTB and MPTB, among nulliparous and parous women separately. The results were combined using a random effects meta-analysis. The estimated BMI at which risk was lowest was calculated via differentiation and a 95% confidence interval (CI) obtained using bootstrapping.RESULTS: We found non-linear associations between BMI and all three outcomes, across all datasets. The adjusted risk of any PTB and MPTB was elevated at both low and high BMIs, whereas the risk of SPTB was increased at lower levels of BMI but remained low or increased only slightly with higher BMI. In the meta-analysed data, the lowest risk of any PTB was at a BMI of 22.5 kg/m 2 (95% CI 21.5, 23.5) among nulliparous women and 25.9 kg/m 2 (95% CI 24.1, 31.7) among multiparous women, with values of 20.4 kg/m 2 (20.0, 21.1) and 22.2 kg/m 2 (21.1, 24.3), respectively, for MPTB; for SPTB, the risk remained roughly largely constant above a BMI of around 25-30 kg/m 2 regardless of parity. CONCLUSIONS: Consistency of findings across different populations, despite differences between them in terms of the time period covered, the BMI distribution, missing data and control for key confounders, suggests that severe under- and overweight may play a role in PTB risk.",
author = "Cornish, {R P} and Magnus, {M C} and Urhoj, {S K} and G Santorelli and Smithers, {L G} and D Odd and A Fraser and H{\aa}berg, {S E} and {Nybo Andersen}, {A M} and K Birnie and Lynch, {J W} and K Tilling and Lawlor, {D A}",
note = "{\textcopyright} 2023. The Author(s).",
year = "2024",
doi = "10.1186/s12916-023-03230-w",
language = "English",
volume = "22",
journal = "BMC Medicine",
issn = "1741-7015",
publisher = "BioMed Central Ltd.",
number = "1",

}

RIS

TY - JOUR

T1 - Maternal pre-pregnancy body mass index and risk of preterm birth

T2 - a collaboration using large routine health datasets

AU - Cornish, R P

AU - Magnus, M C

AU - Urhoj, S K

AU - Santorelli, G

AU - Smithers, L G

AU - Odd, D

AU - Fraser, A

AU - Håberg, S E

AU - Nybo Andersen, A M

AU - Birnie, K

AU - Lynch, J W

AU - Tilling, K

AU - Lawlor, D A

N1 - © 2023. The Author(s).

PY - 2024

Y1 - 2024

N2 - BACKGROUND: Preterm birth (PTB) is a leading cause of child morbidity and mortality. Evidence suggests an increased risk with both maternal underweight and obesity, with some studies suggesting underweight might be a greater factor in spontaneous PTB (SPTB) and that the relationship might vary by parity. Previous studies have largely explored established body mass index (BMI) categories. Our aim was to compare associations of maternal pre-pregnancy BMI with any PTB, SPTB and medically indicated PTB (MPTB) among nulliparous and parous women across populations with differing characteristics, and to identify the optimal BMI with lowest risk for these outcomes.METHODS: We used three UK datasets, two USA datasets and one each from South Australia, Norway and Denmark, together including just under 29 million pregnancies resulting in a live birth or stillbirth after 24 completed weeks gestation. Fractional polynomial multivariable logistic regression was used to examine the relationship of maternal BMI with any PTB, SPTB and MPTB, among nulliparous and parous women separately. The results were combined using a random effects meta-analysis. The estimated BMI at which risk was lowest was calculated via differentiation and a 95% confidence interval (CI) obtained using bootstrapping.RESULTS: We found non-linear associations between BMI and all three outcomes, across all datasets. The adjusted risk of any PTB and MPTB was elevated at both low and high BMIs, whereas the risk of SPTB was increased at lower levels of BMI but remained low or increased only slightly with higher BMI. In the meta-analysed data, the lowest risk of any PTB was at a BMI of 22.5 kg/m 2 (95% CI 21.5, 23.5) among nulliparous women and 25.9 kg/m 2 (95% CI 24.1, 31.7) among multiparous women, with values of 20.4 kg/m 2 (20.0, 21.1) and 22.2 kg/m 2 (21.1, 24.3), respectively, for MPTB; for SPTB, the risk remained roughly largely constant above a BMI of around 25-30 kg/m 2 regardless of parity. CONCLUSIONS: Consistency of findings across different populations, despite differences between them in terms of the time period covered, the BMI distribution, missing data and control for key confounders, suggests that severe under- and overweight may play a role in PTB risk.

AB - BACKGROUND: Preterm birth (PTB) is a leading cause of child morbidity and mortality. Evidence suggests an increased risk with both maternal underweight and obesity, with some studies suggesting underweight might be a greater factor in spontaneous PTB (SPTB) and that the relationship might vary by parity. Previous studies have largely explored established body mass index (BMI) categories. Our aim was to compare associations of maternal pre-pregnancy BMI with any PTB, SPTB and medically indicated PTB (MPTB) among nulliparous and parous women across populations with differing characteristics, and to identify the optimal BMI with lowest risk for these outcomes.METHODS: We used three UK datasets, two USA datasets and one each from South Australia, Norway and Denmark, together including just under 29 million pregnancies resulting in a live birth or stillbirth after 24 completed weeks gestation. Fractional polynomial multivariable logistic regression was used to examine the relationship of maternal BMI with any PTB, SPTB and MPTB, among nulliparous and parous women separately. The results were combined using a random effects meta-analysis. The estimated BMI at which risk was lowest was calculated via differentiation and a 95% confidence interval (CI) obtained using bootstrapping.RESULTS: We found non-linear associations between BMI and all three outcomes, across all datasets. The adjusted risk of any PTB and MPTB was elevated at both low and high BMIs, whereas the risk of SPTB was increased at lower levels of BMI but remained low or increased only slightly with higher BMI. In the meta-analysed data, the lowest risk of any PTB was at a BMI of 22.5 kg/m 2 (95% CI 21.5, 23.5) among nulliparous women and 25.9 kg/m 2 (95% CI 24.1, 31.7) among multiparous women, with values of 20.4 kg/m 2 (20.0, 21.1) and 22.2 kg/m 2 (21.1, 24.3), respectively, for MPTB; for SPTB, the risk remained roughly largely constant above a BMI of around 25-30 kg/m 2 regardless of parity. CONCLUSIONS: Consistency of findings across different populations, despite differences between them in terms of the time period covered, the BMI distribution, missing data and control for key confounders, suggests that severe under- and overweight may play a role in PTB risk.

U2 - 10.1186/s12916-023-03230-w

DO - 10.1186/s12916-023-03230-w

M3 - Journal article

C2 - 38178112

VL - 22

JO - BMC Medicine

JF - BMC Medicine

SN - 1741-7015

IS - 1

M1 - 10

ER -

ID: 378757170