The University of Southampton
University of Southampton Institutional Repository

Longitudinal dietary trajectories from pregnancy to 3 years post-delivery in women with obesity: relationships with adiposity

Longitudinal dietary trajectories from pregnancy to 3 years post-delivery in women with obesity: relationships with adiposity
Longitudinal dietary trajectories from pregnancy to 3 years post-delivery in women with obesity: relationships with adiposity
Objective: The study aim was to examine the relationships between longitudinal dietary trajectories from early pregnancy to 3 years post delivery and adiposity measures in women with obesity.

Methods: The diets of 1208 women with obesity in the UPBEAT (UK Pregnancy Better Eating and Activity Trial) study were assessed using a food frequency questionnaire (FFQ) at 15+0 to 18+6 weeks’ gestation (baseline), 27+0 to 28+6 weeks’ gestation, and 34+0 to 36+0 weeks' gestation, as well as 6 months and 3 years post delivery. Using factor analysis of the baseline FFQ data, four dietary patterns were identified: fruit & vegetable, African/Caribbean, processed, and snacking. The baseline scoring system was applied to the FFQ data at the four subsequent time points. Group-based trajectory modeling was used to extract longitudinal dietary pattern trajectories. Using adjusted regression, associations between dietary trajectories and log-transformed/standardized adiposity measures (BMI and waist and mid-upper arm circumferences) at 3 years post delivery were examined.

Results: Two trajectories were found to best describe the data for the four individual dietary patterns; these were characterized as high and low adherence. A high adherence to the processed pattern was associated with a higher BMI (β = 0.38 [95% CI: 0.06–0.69]) and higher waist (β = 0.35 [0.03–0.67]) and mid-upper arm circumferences (β = 0.36 [0.04–0.67]) at 3 years post delivery.

Conclusions: In women with obesity, a processed dietary pattern across pregnancy and 3 years post delivery is associated with higher adiposity.
1930-7381
1159-1169
Dalrymple, Kathryn V.
8ef94198-4e90-44a9-b77d-19d35d013cde
Vogel, Christina
768f1dcd-2697-4aae-95cc-ee2f6d63dff5
Flynn, Angela C.
02bcba40-29da-4e1d-a94e-cc3fac438183
Seed, Paul T.
d3eda3f4-0e4c-4c17-9efd-dc75b583e79a
Godfrey, Keith M.
0931701e-fe2c-44b5-8f0d-ec5c7477a6fd
Poston, Lucilla
916aced2-462e-445f-9efa-83ed4b7b3a9f
Inskip, Hazel M.
5fb4470a-9379-49b2-a533-9da8e61058b7
Crozier, Sarah R.
9c3595ce-45b0-44fa-8c4c-4c555e628a03
Dalrymple, Kathryn V.
8ef94198-4e90-44a9-b77d-19d35d013cde
Vogel, Christina
768f1dcd-2697-4aae-95cc-ee2f6d63dff5
Flynn, Angela C.
02bcba40-29da-4e1d-a94e-cc3fac438183
Seed, Paul T.
d3eda3f4-0e4c-4c17-9efd-dc75b583e79a
Godfrey, Keith M.
0931701e-fe2c-44b5-8f0d-ec5c7477a6fd
Poston, Lucilla
916aced2-462e-445f-9efa-83ed4b7b3a9f
Inskip, Hazel M.
5fb4470a-9379-49b2-a533-9da8e61058b7
Crozier, Sarah R.
9c3595ce-45b0-44fa-8c4c-4c555e628a03

Dalrymple, Kathryn V., Vogel, Christina, Flynn, Angela C., Seed, Paul T., Godfrey, Keith M., Poston, Lucilla, Inskip, Hazel M. and Crozier, Sarah R. (2023) Longitudinal dietary trajectories from pregnancy to 3 years post-delivery in women with obesity: relationships with adiposity. Obesity, 31 (4), 1159-1169. (doi:10.1002/oby.23706).

Record type: Article

Abstract

Objective: The study aim was to examine the relationships between longitudinal dietary trajectories from early pregnancy to 3 years post delivery and adiposity measures in women with obesity.

Methods: The diets of 1208 women with obesity in the UPBEAT (UK Pregnancy Better Eating and Activity Trial) study were assessed using a food frequency questionnaire (FFQ) at 15+0 to 18+6 weeks’ gestation (baseline), 27+0 to 28+6 weeks’ gestation, and 34+0 to 36+0 weeks' gestation, as well as 6 months and 3 years post delivery. Using factor analysis of the baseline FFQ data, four dietary patterns were identified: fruit & vegetable, African/Caribbean, processed, and snacking. The baseline scoring system was applied to the FFQ data at the four subsequent time points. Group-based trajectory modeling was used to extract longitudinal dietary pattern trajectories. Using adjusted regression, associations between dietary trajectories and log-transformed/standardized adiposity measures (BMI and waist and mid-upper arm circumferences) at 3 years post delivery were examined.

Results: Two trajectories were found to best describe the data for the four individual dietary patterns; these were characterized as high and low adherence. A high adherence to the processed pattern was associated with a higher BMI (β = 0.38 [95% CI: 0.06–0.69]) and higher waist (β = 0.35 [0.03–0.67]) and mid-upper arm circumferences (β = 0.36 [0.04–0.67]) at 3 years post delivery.

Conclusions: In women with obesity, a processed dietary pattern across pregnancy and 3 years post delivery is associated with higher adiposity.

Text
Dalrymple-MaternalDietaryTrajectories-MainDocument_clean_ (002) - Accepted Manuscript
Available under License Creative Commons Attribution.
Download (100kB)

More information

Accepted/In Press date: 9 December 2022
e-pub ahead of print date: 6 March 2023
Published date: 1 April 2023
Additional Information: Funding Information: Kathryn V. Dalrymple is funded by the Medical Research Council (MRC) (grant number: MR/V005839/1). Keith M. Godfrey is supported by the National Institute for Health Research (NIHR Senior Investigator [NF‐SI‐0515‐10042] and the NIHR Southampton Biomedical Research Centre), the European Union (Erasmus+ Programme ImpENSA 598488‐EPP‐1‐2018‐1‐DE‐EPPKA2‐CBHE‐JP), and the British Heart Foundation (RG/15/17/3174). UPBEAT was supported by the European Union's Seventh Framework Programme (FP7/2007–2013), project Early Nutrition, grant agreement no. 289346, and the NIHR (UK) Programme Grants for Applied Research Programme (RP‐0407‐10452). Support was also provided by the Chief Scientist Office Scotland, Guy's and St Thomas' Charity, and Tommy's Charity (registered charity no. 1060508). Lucilla Poston is funded by Tommy's Charity. Paul T. Seed is partly funded by King's Health Partners Institute of Women and Children's Health (KHP) and ARC South London (NIHR). Lucilla Poston is an NIHR Senior Investigator Emeritus (NI‐SI‐0512‐10104). For the purpose of open access, the authors have applied a Creative Commons Attribution (CC BY) license to any author accepted manuscript version arising from this submission. Funding Information: Medical Research Council (MRC), Grant/Award Number: MR/V005839/1; National Institute for Health Research (NIHR), Grant/Award Numbers: NF‐SI‐0515‐10042, NI‐SI‐0512‐10104, RP‐0407‐10452; European Union Seventh Framework Programme, Grant/Award Number: FP7/2007‐2013; Tommy's; NIHR Southampton Biomedical Research Centre; European Union; British Heart Foundation Funding information Publisher Copyright: © 2023 The Authors. Obesity published by Wiley Periodicals LLC on behalf of The Obesity Society.

Identifiers

Local EPrints ID: 474321
URI: http://eprints.soton.ac.uk/id/eprint/474321
ISSN: 1930-7381
PURE UUID: 277c7005-426f-461b-b2be-2bd1f5fdb71f
ORCID for Christina Vogel: ORCID iD orcid.org/0000-0002-3897-3786
ORCID for Keith M. Godfrey: ORCID iD orcid.org/0000-0002-4643-0618
ORCID for Hazel M. Inskip: ORCID iD orcid.org/0000-0001-8897-1749
ORCID for Sarah R. Crozier: ORCID iD orcid.org/0000-0002-9524-1127

Catalogue record

Date deposited: 17 Feb 2023 18:00
Last modified: 17 Mar 2024 03:20

Export record

Altmetrics

Contributors

Author: Kathryn V. Dalrymple
Author: Christina Vogel ORCID iD
Author: Angela C. Flynn
Author: Paul T. Seed
Author: Lucilla Poston
Author: Hazel M. Inskip ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×