Periconceptional Dietary Patterns and Adverse Pregnancy and Birth Outcomes

被引:1
|
作者
Bodnar, Lisa M. [1 ,2 ]
Kirkpatrick, Sharon, I [3 ]
Parisi, Sara M. [1 ]
Jin, Qianhui [1 ]
Naimi, Ashley, I [4 ]
机构
[1] Univ Pittsburgh, Sch Publ Hlth, Dept Epidemiol, Pittsburgh, PA 15260 USA
[2] Univ Pittsburgh, Sch Med, Dept Obstet Gynecol & Reprod Sci, Pittsburgh, PA 15260 USA
[3] Univ Waterloo, Sch Publ Hlth Sci, Waterloo, ON, Canada
[4] Emory Univ, Rollins Sch Publ Hlth, Dept Epidemiol, Atlanta, GA USA
关键词
dietary patterns; gestational diabetes; machine learning; preeclampsia; pregnancy; preterm birth; GESTATIONAL DIABETES-MELLITUS; HYPERTENSIVE DISORDERS; VALIDATION; SCALE; RISK; QUESTIONNAIRE; PREECLAMPSIA; ASSOCIATION;
D O I
10.1016/j.tjnut.2023.12.013
中图分类号
R15 [营养卫生、食品卫生]; TS201 [基础科学];
学科分类号
100403 ;
摘要
Background: The periconceptional period is a critical window for the origins of adverse pregnancy and birth outcomes, yet little is known about the dietary patterns that promote perinatal health. Objective: We used machine learning methods to determine the effect of periconceptional dietary patterns on risk of preeclampsia, gestational diabetes, preterm birth, small-for-gestational-age (SGA) birth, and a composite of these outcomes. Methods: We used data from 8259 participants in the Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-to-Be (8 US medical centers, 2010-2013). Usual daily periconceptional intake of 82 food groups was estimated from a food frequency questionnaire. We used kmeans clustering with a Euclidean distance metric to identify dietary patterns. We estimated the effect of dietary patterns on each perinatal outcome using targeted maximum likelihood estimation and an ensemble of machine learning algorithms, adjusting for confounders including health behaviors and psychological, neighborhood, and sociodemographic factors. Results: The 4 dietary patterns that emerged from our data were identified as "Sandwiches and snacks" (34% of the sample); "High fat, sugar, and sodium" (29%); "Beverages, refined grains, and mixed dishes" (21%); and "High fruits, vegetables, whole grains, and plant proteins" (16%). One-quarter of pregnancies had preeclampsia (8% incidence), gestational diabetes (5%), preterm birth (8%), or SGA birth (8%). Compared with the "High fat, sugar, and sodium" pattern, there were 3.3 to 4.3 fewer cases of the composite adverse outcome per 100 pregnancies among participants following the "Beverages, refined grains and mixed dishes" pattern (risk difference -0.043; 95% confidence interval -0.078, -0.009), "High fruits, vegetables, whole grains and plant proteins" pattern (-0.041; 95% confidence interval -0.078, -0.004), and "Sandwiches and snacks" pattern (-0.033; 95% confidence interval -0.065, -0.002). Conclusions: Our results highlight that there are a variety of periconceptional dietary patterns that are associated with perinatal health and reinforce the negative health implications of diets high in fat, sugars, and sodium.
引用
收藏
页码:680 / 690
页数:11
相关论文
共 50 条
  • [21] Inherited Thrombophilias and Adverse Pregnancy Outcomes A Review of Screening Patterns and Recommendations
    Davenport, William B.
    Kutteh, William H.
    OBSTETRICS AND GYNECOLOGY CLINICS OF NORTH AMERICA, 2014, 41 (01) : 133 - +
  • [22] Prenatal acetaminophen use in women with autoimmune disorders and adverse pregnancy and birth outcomes
    Killion, Jordan A.
    Chambers, Christina
    Smith, Chelsey
    Bandoli, Gretchen
    RHEUMATOLOGY, 2022, 61 (04) : 1630 - 1638
  • [23] High prevalence of severe vitamin D deficiency during the first trimester in pregnant women in Switzerland and its potential contributions to adverse outcomes in the pregnancy
    Patricia, Christoph
    Pauline, Challande
    Luigi, Raio
    Daniel, Surbek
    SWISS MEDICAL WEEKLY, 2020, 150
  • [24] Maternal vitamin D concentrations during pregnancy, fetal growth patterns, and risks of adverse birth outcomes
    Miliku, Kozeta
    Vinkhuyzen, Anna
    Blanken, Laura M. E.
    McGrath, John J.
    Eyles, Darryl W.
    Burne, Thomas H.
    Hofman, Albert
    Tiemeier, Henning
    Steegers, Eric A. P.
    Gaillard, Romy
    Jaddoe, Vincent W. V.
    AMERICAN JOURNAL OF CLINICAL NUTRITION, 2016, 103 (06) : 1514 - 1522
  • [25] Machine learning as a strategy to account for dietary synergy: an illustration based on dietary intake and adverse pregnancy outcomes
    Bodnar, Lisa M.
    Cartus, Abigail R.
    Kirkpatrick, Sharon, I
    Himes, Katherine P.
    Kennedy, Edward H.
    Simhan, Hyagriv N.
    Grobman, William A.
    Duffy, Jennifer Y.
    Silver, Robert M.
    Parry, Samuel
    Naimi, Ashley, I
    AMERICAN JOURNAL OF CLINICAL NUTRITION, 2020, 111 (06) : 1235 - 1243
  • [26] Dietary patterns before and during pregnancy and maternal outcomes: a systematic review
    Raghavan, Ramkripa
    Dreibelbis, Carol
    Kingshipp, Brittany L.
    Wong, Yat Ping
    Abrams, Barbara
    Gernand, Alison D.
    Rasmussen, Kathleen M.
    Siega-Riz, Anna Maria
    Stang, Jamie
    Casavale, Kellie O.
    Spahn, Joanne M.
    Stoody, Eve E.
    AMERICAN JOURNAL OF CLINICAL NUTRITION, 2019, 109 : 705S - 728S
  • [27] Women with intellectual disability at risk of adverse pregnancy and birth outcomes
    McConnell, D.
    Mayes, R.
    Llewellyn, G.
    JOURNAL OF INTELLECTUAL DISABILITY RESEARCH, 2008, 52 : 529 - 535
  • [28] Healthy dietary patterns and common pregnancy complications: a prospective and longitudinal study
    Li, Mengying
    Grewal, Jagteshwar
    Hinkle, Stefanie N.
    Yisahak, Samrawit F.
    Grobman, William A.
    Newman, Roger B.
    Skupski, Daniel W.
    Chien, Edward K.
    Wing, Deborah A.
    Grantz, Katherine L.
    Zhang, Cuilin
    AMERICAN JOURNAL OF CLINICAL NUTRITION, 2021, 114 (03) : 1229 - 1237
  • [29] Overweight, obesity and excessive weight gain in pregnancy as risk factors for adverse pregnancy outcomes: A narrative review
    Langley-Evans, Simon C.
    Pearce, Jo
    Ellis, Sarah
    JOURNAL OF HUMAN NUTRITION AND DIETETICS, 2022, 35 (02) : 250 - 264
  • [30] Impact of Periconceptional Exposure to Phthalates on Pregnancy, Birth, and Neonatal Outcomes
    Sarah H. Pollard
    Christina A. Porucznik
    Current Epidemiology Reports, 2017, 4 (2) : 199 - 210