Background: Poor diet quality is associated with obesity-related morbidity and mortality. Psychological stress can increase unhealthy dietary choices, but evidence pertinent to women of reproductive age remains unclear. This paper systematically reviewed the literature to determine the association between psychological stress and diet quality in women of reproductive age. Methods: Medline, CINAHL, Scopus, Cochrane Library, Web of Science, and Sciencedirect were searched. Data extraction was determined by the PEO. Inclusion criteria consisted of: English language, stress (exposure) measured in combination with diet quality (outcome), healthy women of reproductive age (18-49 years old (population)). Observational studies, due to the nature of the PEO, were included. Quality assessment used the Risk of Bias in Non-randomised Studies from the Cochrane Handbook of Systematic Reviews of Interventions. Meta-analysis was conducted using random-effect model to estimate the Fisher's z transformed correlation between stress and diet quality with 95% confidence interval (CI). Results: From 139,552 hits, 471 papers were screened; 24 studies met the inclusion criteria and were conducted in different countries: 8 studies on diet quality and 16 on food intake and frequency of consumption. Studies of diet quality consisted of six cross-sectional and two longitudinal designs with a total of 3982 participants. Diet quality was measured with diverse indices; Alternate Healthy Eating Index (n = 2), Healthy Eating Index (n = 2), Dietary Approach to Stop Hypertension (DASH) Diet Index (n = 2), Dietary Quality Index-Pregnancy (n = 2), and Dietary Guideline Adherence Index (n = 1). Most studies used Cohen's perceived stress scale and no study measured biological stress response. After sensitivity analysis, only 5 studies (3471 participants) were included in the meta-analysis. Meta-analysis revealed a significant negative association between stress and diet quality with substantial heterogeneity between studies (r = − 0.35, 95% CI [− 0.56; − 0.15], p value < 0.001, Cochran Q test P < 0.0001, I 2 = 93%). The 16 studies of food intake and frequency of consumption were very heterogeneous in the outcome measure and were not included in the meta-analysis. These studies showed that stress was significantly associated with unhealthy dietary patterns (high in fat, sweets, salt, and fast food and low in fruits, vegetables, fish, and unsaturated fats). Conclusion: Future studies that explore diet quality/patterns should include both diet indices and factor analysis and measure biological markers of stress and dietary patterns simultaneously.

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Obesity and excess gestational weight gain (EGWG) in pregnancy increase the risk for adverse maternal and infant outcomes. Along with careful monitoring of weight gain during pregnancy, early identification of a maladaptive response to the changes of pregnancy may help to avoid adverse outcomes. Simple physiologic markers such as resting heart rate (HR), heart period (HP), and blood pressure (BP) may be powerful predictors of cardiovascular adaptation to pregnancy. This article summarizes the current state of the science regarding the effect of obesity (body mass index [BMI] > or =30 kg/m(2)) and EGWG in pregnant women at rest in laboratory settings. The impact of differences in weight gain (kg and BMI) on pregnancy outcomes is also examined. A search was conducted for articles published from 1985 to 2006 reporting data on body weight and HR or HP at rest from randomized controlled trials or controlled trials conducted in laboratory settings involving pregnant women at low or high risk for adverse pregnancy outcomes who were obese or had EGWG. A meta-analysis was conducted on the 23 studies meeting inclusion criteria to explore the relation of BMI to HR, HP, and physiologic parameters. Autonomic responsiveness was found to be diminished in obese women with a BMI > 30 kg/m(2) and in women with high risk for adverse pregnancy outcomes, which may indicate a maladaptive autonomic response that is imbalanced and disorganized and that reduces adaptation to environmental demands.

There are obvious health disparities among White and non-White women experiencing high-risk pregnancies and births. Future studies are needed to develop interventions targeted to different racial/ethnic groups during pregnancy to reduce preterm and high-risk births.