Relation of preconception eating behaviours to dietary pattern trajectories and gestational weight gain from preconception to late pregnancy.

Dietary patterns Eating behaviour Gestational weight gain Preconception Trajectories

Journal

Appetite
ISSN: 1095-8304
Titre abrégé: Appetite
Pays: England
ID NLM: 8006808

Informations de publication

Date de publication:
02 Apr 2024
Historique:
received: 09 11 2023
revised: 26 03 2024
accepted: 02 04 2024
medline: 5 4 2024
pubmed: 5 4 2024
entrez: 4 4 2024
Statut: aheadofprint

Résumé

Studies examining preconception eating behaviours with longitudinal dietary patterns from preconception to late pregnancy as well as gestational weight gain (GWG) are limited. We derived dietary pattern trajectories from preconception to late-pregnancy, and related preconception eating behaviours to these trajectories and GWG. Preconception eating behaviours were assessed using the Three-Factor Eating Questionnaire measuring cognitive restraint (CR) - conscious restriction of food intake, emotional eating (EE) - overeating in response to negative emotions, and uncontrolled eating (UE) - overeating with a feeling of lack of control. Dietary intakes were measured at preconception, 20-21 and 34-36 weeks' gestation with food frequency questionnaires. Dietary patterns were determined using factor analysis, and trajectories derived using group-based trajectory modelling. Inadequate and excessive GWG were defined according to Institute of Medicine guidelines based on weights at preconception and the last antenatal visit (median: 38 weeks' gestation). Two dietary patterns were derived: 'Fast Food, Fried Snacks and Desserts (FFD)' and 'Soup, Fish and Vegetables (SFV)'. Adherence trajectories from preconception to late-pregnancy were characterised as consistently high ("stable-high") and low ("stable-low"). Women with higher UE scores had higher odds of being in the "stable-high" trajectory (n = 34) of the FFD pattern [Odds Ratio (OR): 1.25, 95% Confidence Interval (CI): 1.03, 1.51], compared to "stable-low" (n = 260). Percentages of women with inadequate, adequate or excessive GWG were 21.7% (n = 70), 25.8% (n = 83), and 52.5% (n = 169), respectively; women with higher EE scores had a higher likelihood of excessive GWG [Relative Risk Ratio (RRR): 1.35, 95% CI: 1.02, 1.80], but this association was attenuated after adjusting for preconception body mass index. Eating behaviour interventions to improve dietary patterns among pregnant women may need to start as early as preconception, incorporating strategies to manage UE. Title.

Identifiants

pubmed: 38574819
pii: S0195-6663(24)00137-5
doi: 10.1016/j.appet.2024.107336
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

107336

Informations de copyright

Copyright © 2024. Published by Elsevier Ltd.

Déclaration de conflit d'intérêts

Declaration of competing interest FY, KMG and YSC have received reimbursement for speaking at conferences sponsored by companies selling nutritional products. KMG and YSC are part of an academic consortium that has received research funding from Abbott Nutrition, Nestlé and Danone. All other authors declared no conflicts of interest.

Auteurs

Jason Loh (J)

Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, 30 Medical Drive, 117609, Singapore.

See Ling Loy (SL)

Department of Reproductive Medicine, KK Women's and Children's Hospital, 100 Bukit Timah Road, 229899, Singapore; Duke-NUS Medical School, 8 College Road, 169857, Singapore.

Geeta Appannah (G)

Department of Nutrition, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, 43400, UPM Serdang, Selangor Darul Ehsan, Malaysia.

Marjorelee T Colega (MT)

Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, 30 Medical Drive, 117609, Singapore.

Keith M Godfrey (KM)

MRC Lifecourse Epidemiology Centre & NIHR Southampton Biomedical Research Centre, University of Southampton & University Hospital Southampton NHS Foundation Trust, Tremona Road, Southampton, SO16 6YD, UK.

Fabian Yap (F)

Duke-NUS Medical School, 8 College Road, 169857, Singapore; Department of Paediatric Endocrinology, KK Women's and Children's Hospital, 100 Bukit Timah Road, 229899, Singapore.

Yap Seng Chong (YS)

Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, 30 Medical Drive, 117609, Singapore; Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road, NUHS Tower Block, Level 12, 119228, Singapore.

Johan G Eriksson (JG)

Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, 30 Medical Drive, 117609, Singapore; Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, & Folkhälsan Research Center, University of Helsinki, PO Box 20, 00014, University of Helsinki, Helsinki, Finland; Department of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, 1E Kent Ridge Road, NUHS Tower Block, Level 12, 119228, Singapore.

Jerry K Y Chan (JKY)

Department of Reproductive Medicine, KK Women's and Children's Hospital, 100 Bukit Timah Road, 229899, Singapore; Duke-NUS Medical School, 8 College Road, 169857, Singapore.

Shiao-Yng Chan (SY)

Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, 30 Medical Drive, 117609, Singapore; Department of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, 1E Kent Ridge Road, NUHS Tower Block, Level 12, 119228, Singapore.

Mary F F Chong (MFF)

Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, 30 Medical Drive, 117609, Singapore; Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, 16 Medical Drive, 117597, Singapore.

Jun S Lai (JS)

Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, 30 Medical Drive, 117609, Singapore. Electronic address: lai_jun_shi@sics.a-star.edu.sg.

Classifications MeSH