ArticleMaternal and child health journal2017
Association Between Fruit and Vegetable Consumption and Sleep Quantity in Pregnant Women.
Article in Maternal and child health journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.
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Who cites it
17 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- A Systematic Review of Studies Examining Associations between Sleep Characteristics with Dietary Intake and Eating Behaviors during Pregnancy.Nutrients · 2023Pooled it
- Systematic review of the associations between prenatal sleep behaviours and components of energy balance for regulating weight gain.Journal of sleep research · 2023Pooled it
- Associations of fruit and vegetable intake with sleep quality and stress among Hong Kong female nurses with different working status: a cross-sectional study.BMC nursing · 2025Article
- Article
- Association between dietary intake and symptoms of depression and anxiety in pregnant women: Evidence from a community-based observational study.Food science & nutrition · 2023Article
- Depression, sleep quality, and body image disturbances among pregnant women in India: a cross-sectional study.Journal of Yeungnam medical science · 2023Article
- Article
- Article
- Miscarriage Risk Factors for Pregnant Women: A Cohort Study in Eastern Algeria's Population.Journal of obstetrics and gynaecology of India · 2022Article
- The association between sleep duration and risk of mortality in Chinese older adults: a national cohort study.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2021Article
- Influence of Dietary Habits and Mediterranean Diet Adherence on Sleep Quality during Pregnancy. The GESTAFIT Project.Nutrients · 2020Article
- Article
- Review
- Short sleep duration is associated with specific food intake increase among school-aged children in China: a national cross-sectional study.BMC public health · 2019Article
- The Associations between Dietary Patterns and Short Sleep Duration in Polish Adults (LifeStyle Study).International journal of environmental research and public health · 2018Article
- Article
- Sleep Duration and Quality in Pregnant Women: A Cross-Sectional Survey in China.International journal of environmental research and public health · 2017Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction To determine the association of fruit and vegetable consumption with overall sleep duration among pregnant women. Methods Data from the 2011 and 2012 Behavioral Risk Factors Surveillance System (BRFSS) were used. All women (n = 2951) of childbearing age (18-44 years) who were pregnant and responded to all fruit and vegetable consumption and sleep duration questions were included. Covariates included age, race, education level, exercise, and marital status. Data were analyzed using linear and ordinal logistic regression. Results Total daily fruit and vegetable consumption was not associated with sleep duration among pregnant women, controlling for confounders [β = -0.03, (-0.07, 0.00)]. Orange and green vegetable consumption were both inversely associated with sleep duration [β = -0.19, (-0.38, -0.01) and β = -0.20, (-0.33, -0.08) respectively]. Ordinal logistic regression found that the odds of meeting or exceeding sleep time recommendations increased slightly with each unit increase in total fruit and vegetable consumption [OR = 1.05 (1.003, 1.092)] and for every unit increase in fruit consumption [OR = 1.12 (1.038, 1.208)]. Women who exercised within the past 30 days reported approximately 20 min of additional sleep compared to those who did not [β = 0.32 (0.16, 0.49)]. Age, employment status, and marital status were also independently associated with sleep duration. Discussion Sleep duration in pregnant women was associated with exercise and other demographic factors, but only mildly associated with fruit and vegetable consumption. Future research should investigate the effects of additional factors including sleep quality, gestational age, family status and other medications as potential confounders.
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