Literature DB >> 31056148

Vegetable dietary pattern associated with low risk of preeclampsia possibly through reducing proteinuria.

Baibing Mi1, Xiaozhong Wen2, Shanshan Li1, Danmeng Liu1, Fangliang Lei1, Ruru Liu3, Yuan Shen1, Yue Chen1, Lingxia Zeng1, Xin Liu1, Shaonong Dang4, Hong Yan5.   

Abstract

BACKGROUND: Evidence on the potential roles that dietary patterns play in the risk of preeclampsia remains limited.
OBJECTIVE: To examine the associations between dietary patterns during pregnancy and the risk of preeclampsia. STUDY
DESIGN: We analyzed data from a cluster randomized controlled trial among 987 healthy pregnant women in three rural counties in northwestern China. Maternal diet during the whole pregnancy was assessed using a 107-item food frequency questionnaire with proportion size administered before delivery. Principal component factor analysis with varimax rotation was used to identify common dietary patterns. Preeclampsia was diagnosed by trained clinicians and recorded in delivery records.
RESULTS: Nineteen participants (1.9%) were diagnosed with preeclampsia. Gestational hypertension and proteinuria were only weakly correlated with each other (Kappa = 0.06): 10.7% participants with gestational hypertension only, 8.8% with proteinuria only, 1.9% with both, and 78.6% with neither. Five common dietary patterns were identified: vegetable, meat, fruit, snack, and wheat staple patterns. After adjusting for calories, other dietary pattern scores and baseline blood pressure, a higher vegetable pattern scores was associated with lower risk of preeclampsia (P for trend = 0.041; the highest vs lowest quartile, adjusted relative risk = 0.20 [95% confidence interval, 0.04-0.98]). A similar association was also observed for the risk of proteinuria (P for trend = 0.015): the highest vs lowest quartiles of the vegetable pattern score, adjusted relative risk = 0.44 (95% confidence interval, 0.24-0.80). The other four pattern scores were not associated with preeclampsia.
CONCLUSIONS: Adherence to vegetable dietary pattern may be associated with the lower risk of preeclampsia, possibly through reducing development of proteinuria. The original full study was registered at clinicaltrials.gov as NCT02537392.
Copyright © 2019 International Society for the Study of Hypertension in Pregnancy. All rights reserved.

Entities:  

Keywords:  Dietary pattern; Gestational hypertension; Preeclampsia; Proteinuria; Relative risk; Vegetable

Mesh:

Year:  2019        PMID: 31056148     DOI: 10.1016/j.preghy.2019.04.001

Source DB:  PubMed          Journal:  Pregnancy Hypertens        ISSN: 2210-7789            Impact factor:   2.899


  5 in total

Review 1.  Comparative risks and predictors of preeclamptic pregnancy in the Eastern, Western and developing world.

Authors:  Ning Zhang; Jing Tan; HaiFeng Yang; Raouf A Khalil
Journal:  Biochem Pharmacol       Date:  2020-09-25       Impact factor: 5.858

Review 2.  Dietary factors that affect the risk of pre-eclampsia.

Authors:  Abigail Perry; Anna Stephanou; Margaret P Rayman
Journal:  BMJ Nutr Prev Health       Date:  2022-06-06

3.  Maternal Dietary Patterns and Pregnancy Hypertension in Low- and Middle-Income Countries: A Systematic Review and Meta-analysis.

Authors:  Mai-Lei Woo Kinshella; Shazmeen Omar; Kerri Scherbinsky; Marianne Vidler; Laura A Magee; Peter von Dadelszen; Sophie E Moore; Rajavel Elango
Journal:  Adv Nutr       Date:  2021-12-01       Impact factor: 8.701

4.  Adherence to a Dietary Approaches to Stop Hypertension (DASH)-style Diet in Relation to Preeclampsia: A Case-Control Study.

Authors:  Yuan Cao; Yanhua Liu; Xianlan Zhao; Dandan Duan; Weifeng Dou; Wenjun Fu; Huanan Chen; Yacong Bo; Yanfang Qiu; Gaiyun Chen; Quanjun Lyu
Journal:  Sci Rep       Date:  2020-06-03       Impact factor: 4.379

Review 5.  Differences in epidemiology of patients with preeclampsia between China and the US (Review).

Authors:  Ping Shi; Lei Zhao; Sha Yu; Jun Zhou; Jing Li; Ning Zhang; Baoxiang Xing; Xuena Cui; Shengmei Yang
Journal:  Exp Ther Med       Date:  2021-07-15       Impact factor: 2.447

  5 in total

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