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Meal frequency patterns and glycemic properties of maternal diet in relation to preterm delivery: Results from a large prospective cohort study

Meal frequency patterns and glycemic properties of maternal diet in relation to preterm delivery: Results from a large prospective cohort study


Titill: Meal frequency patterns and glycemic properties of maternal diet in relation to preterm delivery: Results from a large prospective cohort study
Höfundur: Englund-Ögge, Linda
Birgisdottir, Bryndis Eva   orcid.org/0000-0002-5788-4551
Sengpiel, Verena
Brantsæter, Anne Lise
Haugen, Margareta
Myhre, Ronny
Meltzer, Helle Margrete
Jacobsson, Bo
Útgáfa: 2017-03-01
Tungumál: Enska
Umfang: e0172896
Háskóli/Stofnun: Háskóli Íslands
University of Iceland
Svið: Heilbrigðisvísindasvið (HÍ)
School of Health Sciences (UI)
Deild: Matvæla- og næringarfræðideild (HÍ)
Faculty of Food Science and Nutrition (UI)
Birtist í: PLoS ONE;12(3)
ISSN: 1932-6203 (eISSN)
DOI: 10.1371/journal.pone.0172896
Efnisorð: Mataræði; Meðganga
URI: https://hdl.handle.net/20.500.11815/281

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Tilvitnun:

Englund-Ögge L, Birgisdottir BE, Sengpiel V, Brantsæter AL, Haugen M, Myhre R, et al. (2017) Meal frequency patterns and glycemic properties of maternal diet in relation to preterm delivery: Results from a large prospective cohort study. PLoS ONE 12(3): e0172896. https://doi.org/10.1371/journal.pone.0172896

Útdráttur:

Background Dietary habits are linked to high maternal glucose levels, associated with preterm delivery. The aim of this study was to examine the associations between meal frequency and glycemic properties of maternal diet in relation to preterm delivery. Methods This prospective cohort study included 66,000 women from the Norwegian Mother and Child Cohort Study (MoBa). Meal frequency and food intake data were obtained from a validated food frequency questionnaire during mid-pregnancy. Principal component factor analysis was used with a data-driven approach, and three meal frequency patterns were identified: “snack meal”, “main meal”, and “evening meal”. Pattern scores were ranked in quartiles. Glycemic index and glycemic load were estimated from table values. Intakes of carbohydrates, added sugar, and fiber were reported in grams per day and divided into quartiles. Gestational age was obtained from the Medical Birth Registry of Norway. Preterm delivery was defined as birth at <37 gestational weeks. A Cox regression model was used to assess associations with preterm delivery. Results After adjustments, the “main meal” pattern was associated with a reduced risk of preterm delivery, with hazard ratios (HRs) of 0.89 (95% confidence interval (CI): 0.80, 0.98) and 0.90 (95% CI: 0.81, 0.99) for the third and fourth quartiles, respectively, and p for trend of 0.028. This was mainly attributed to the group of women with BMI ≥25 kg/m2, with HRs of 0.87 (95% CI: 0.79, 0.96) and 0.89 (95% CI: 0.80, 0.98) for the third and fourth quartiles, respectively, and p for trend of 0.010. There was no association between glycemic index, glycemic load, carbohydrates, added sugar, fiber, or the remaining meal frequency patterns and preterm delivery. Conclusion Regular consumption of main meals (breakfast, lunch, dinner) was associated with a lower risk of preterm delivery. Diet should be further studied as potential contributing factors for preterm delivery.

Athugasemdir:

Data Availability: Data in this study is third party data, that originates from the Norwegian Mother Child cohort (MoBa). Data is regulated by the MoBa Scientific Management Group. All MoBa used for research is subject to legal restricting which prohibits the authors from making minimal data set publicly available. Data requests that meet the guidelines described in the link below, can be addressed to the MoBa Scientific Management Group. For further information about data access please contact; datatilgang@fhi.no, or Professor Per Magnus mail address: per.magnus@fhi.no. See specific guidelines for research with MoBa data; https://www.fhi.no/globalassets/dokumenterfiler/retningslinjer-moba-eng.pdf.

Leyfi:

This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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