Antenatal dietary concordance among mothers and fathers and gestational weight gain: a longitudinal study

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Abstract

Background

Parent-child dietary concordance is associated with child diet, but the clinical implications of mother-father dietary concordance during pregnancy are unknown. This study evaluates antenatal mother-father dietary concordance and associations with gestational weight gain (GWG).

Methods

Mother-father ( n = 111) dyads with low income reported their fruit/vegetable (FV), fast food (FF), and sugar-sweetened beverage (SSB) consumption frequency during the first trimester of pregnancy. From electronic health records, we collected height and self-reported pre-pregnancy weight and calculated pre-pregnancy body mass index (BMI). The primary outcome was excessive GWG for pre-pregnancy BMI. Dyads were categorized as healthy or unhealthy concordant (consuming similarly high or low amounts of FV, FF, or SSB), or mother-healthy or father-healthy discordant (consuming different amounts of FV, FF, or SSB). Multivariable and logistic regressions analyzed associations between dietary concordance and GWG.

Results

Mothers were Hispanic (25%), 43% White, 6% Black, and 23% Asian or Other. Most mothers were employed (62%) making <$50,000/year (64%). Average maternal GWG was 11.6 kg (SD = 6.40), and 36% had excessive GWG. Mothers in the mother-healthy discordant FV group (OR = 4.84; 95% CI = 1.29, 18.22) and the unhealthy concordant FF group (OR = 7.08; 95% CI = 2.08, 24.12) had higher odds for excessive GWG, compared to healthy concordant dyads. SSB concordance was associated with higher GWG in unadjusted, but not adjusted models.

Conclusions

Mothers had higher risk for excessive GWG when both partners had unhealthy FF consumption frequency, and when fathers had unhealthy FV consumption frequency. These findings imply that fathers should be involved in educational opportunities regarding dietary intake during pregnancy.

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Most cited references 19

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Gestational weight gain and child adiposity at age 3 years.

Emily Oken, Elsie Taveras, Ken Kleinman … (2007)

The purpose of this study was to examine the associations of gestational weight gain with child adiposity. Using multivariable regression, we studied associations of total gestational weight gain and weight gain according to 1990 Institute of Medicine guidelines with child outcomes among 1044 mother-child pairs in Project Viva. Greater weight gain was associated with higher child body mass index z-score (0.13 units per 5 kg [95% CI, 0.08, 0.19]), sum of subscapular and triceps skinfold thicknesses (0.26 mm [95% CI, 0.02, 0.51]), and systolic blood pressure (0.60 mm Hg [95% CI, 0.06, 1.13]). Compared with inadequate weight gain (0.17 units [95% CI, 0.01, 0.33]), women with adequate or excessive weight gain had children with higher body mass index z-scores (0.47 [95% CI, 0.37, 0.57] and 0.52 [95% CI, 0.44, 0.61], respectively) and risk of overweight (odds ratios, 3.77 [95% CI: 1.38, 10.27] and 4.35 [95% CI: 1.69, 11.24]). New recommendations for gestational weight gain may be required in this era of epidemic obesity.

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Cohort profile: project viva.

Emily Oken, Andrea A. Baccarelli, Diane R. Gold … (2015)

We established Project Viva to examine prenatal diet and other factors in relation to maternal and child health. We recruited pregnant women at their initial prenatal visit in eastern Massachusetts between 1999 and 2002. Exclusion criteria included multiple gestation, inability to answer questions in English, gestational age ≥22 weeks at recruitment and plans to move away before delivery. We completed in-person visits with mothers during pregnancy in the late first (median 9.9 weeks of gestation) and second (median 27.9 weeks) trimesters. We saw mothers and children in the hospital during the delivery admission and during infancy (median age 6.3 months), early childhood (median 3.2 years) and mid-childhood (median 7.7 years). We collected information from mothers via interviews and questionnaires, performed anthropometric and neurodevelopmental assessments and collected biosamples. We have collected additional information from medical records and from mailed questionnaires sent annually to mothers between in-person visits and to children beginning at age 9 years. From 2341 eligible women, there were 2128 live births; 1279 mother-child pairs provided data at the mid-childhood visit. Primary study outcomes include pregnancy outcomes, maternal mental and cardiometabolic health and child neurodevelopment, asthma/atopy and obesity/cardiometabolic health. Investigators interested in learning more about how to obtain Project Viva data can contact Project_Viva@hphc.org.

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Dietary quality during pregnancy varies by maternal characteristics in Project Viva: a US cohort.

Sheryl L. Rifas-Shiman, Janet W. Rich-Edwards, Ken Kleinman … (2009)

Maternal diet may influence outcomes of pregnancy and childhood, but data on correlates of food and nutrient intake during pregnancy are scarce. To examine relationships between maternal characteristics and diet quality during the first trimester of pregnancy. Secondarily we examined associations of diet quality with pregnancy outcomes. As part of the ongoing US prospective cohort study Project Viva, we studied 1,777 women who completed a food frequency questionnaire during the first trimester of pregnancy. We used linear regression models to examine the relationships of maternal age, prepregnancy body mass index, parity, education, and race/ethnicity with dietary intake during pregnancy. We used the Alternate Healthy Eating Index, slightly modified for pregnancy (AHEI-P), to measure diet quality on a 90-point scale with each of the following nine components contributing 10 possible points: vegetables, fruit, ratio of white to red meat, fiber, trans fat, ratio of polyunsaturated to saturated fatty acids, and folate, calcium, and iron from foods. Mean AHEI-P score was 61+/-10 (minimum 33, maximum 89). After adjusting for all characteristics simultaneously, participants who were older (1.3 points per 5 years, 95% confidence interval [CI] [0.7 to 1.8]) had better AHEI-P scores. Participants who had higher body mass index (-0.9 points per 5 kg/m(2), 95% CI [-1.3 to -0.4]), were less educated (-5.2 points for high school or less vs college graduate, 95% CI [-7.0 to -3.5]), and had more children (-1.5 points per child, 95% CI [-2.2 to -0.8]) had worse AHEI-P scores, but African-American and white participants had similar AHEI-P scores (1.3 points for African American vs white, 95% CI [-0.2 to 2.8]). Using multivariate adjusted models, each five points of first trimester AHEI-P was associated lower screening blood glucose level (beta -.64 [95% CI -0.02 to -1.25]). In addition, each five points of second trimester AHEI-P was associated with a slightly lower risk of developing preeclampsia (odds ratio 0.87 [95% CI 0.76 to 1.00]), but we did not observe this association with first trimester AHEI-P (odds ratio 0.96 [95% CI 0.84 to 1.10]). Pregnant women who were younger, less educated, had more children, and who had higher prepregnancy body mass index had poorer-quality diets. These results could be used to tailor nutrition education messages to pregnant women to avoid long-term sequelae from suboptimal maternal nutrition.

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Author and article information

Contributors

Roger Figueroa:

ORCID: http://orcid.org/0000-0002-2549-7741

rf453@cornell.edu

Journal

Journal ID (nlm-ta): BMC Public Health

Journal ID (iso-abbrev): BMC Public Health

Title: BMC Public Health

Publisher: BioMed Central (London )

ISSN (Electronic): 1471-2458

Publication date (Electronic): 6 July 2020

Publication date PMC-release: 6 July 2020

Publication date Collection: 2020

Volume: 20

Electronic Location Identifier: 1071

Affiliations

[1 ]GRID grid.5386.8, ISNI 000000041936877X, Cornell University, College of Human Ecology, Division of Nutritional Sciences, ; 411 Savage Hall, Ithaca, New York 14853 USA

[2 ]GRID grid.420015.2, ISNI 0000 0004 0493 5049, The MITRE Corporation, ; 202 Burlington Road, Bedford, MA 01730 USA

[3 ]GRID grid.40263.33, ISNI 0000 0004 1936 9094, Brown University, School of Public Health, Department of Behavioral and Social Sciences, ; 121 South Main Street, Providence, Rhode Island 02903 USA

[4 ]GRID grid.32224.35, ISNI 0000 0004 0386 9924, Massachusetts General Hospital, Division of Academic Pediatrics, ; 125 Nashua Street, Boston, MA 02114 USA

[5 ]GRID grid.208226.c, ISNI 0000 0004 0444 7053, Boston College, School of Social Work, ; 275 Beacon Street, Chestnut Hill, MA 02467 USA

[6 ]GRID grid.38142.3c, ISNI 000000041936754X, Harvard T. H. Chan School of Public Health, Department of Social and Behavioral Sciences, ; 401 Park Drive, Boston, MA 02215 USA

Author information

Roger Figueroa http://orcid.org/0000-0002-2549-7741

Article

Publisher ID: 9182

DOI: 10.1186/s12889-020-09182-7

PMC ID: 7339503

PubMed ID: 32631291

SO-VID: 2acf0292-586f-4f73-8d9d-585215d39e75

License:

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

History

Date received : 14 May 2020

Date accepted : 29 June 2020

Funding

Funded by: FundRef http://dx.doi.org/10.13039/100000062, National Institute of Diabetes and Digestive and Kidney Diseases;

Award ID: T32DK007703

Award Recipient : Roger Figueroa

Funded by: FundRef http://dx.doi.org/10.13039/100000009, Foundation for the National Institutes of Health;

Award ID: R25CA057711

Award Recipient : Jaclyn A. Saltzman

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ScienceOpen disciplines: Public health

Keywords: antenatal diet,mother-father dyads,gestational weight gain; longitudinal analysis

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ScienceOpen disciplines: Public health

Keywords: antenatal diet, mother-father dyads, gestational weight gain; longitudinal analysis

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Antenatal dietary concordance among mothers and fathers and gestational weight gain: a longitudinal study

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Abstract

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Most cited references 19

Gestational weight gain and child adiposity at age 3 years.

Cohort profile: project viva.

Dietary quality during pregnancy varies by maternal characteristics in Project Viva: a US cohort.

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