Predictors of Plasmodium falciparum Infection in the First Trimester Among Nulliparous Women From Kenya, Zambia, and the Democratic Republic of the Congo.

BACKGROUND: Malaria can have deleterious effects early in pregnancy, during placentation. However, malaria testing and treatment are rarely initiated until the second trimester, leaving pregnancies unprotected in the first trimester. To inform potential early intervention approaches, we sought to identify clinical and demographic predictors of first-trimester malaria. METHODS: We prospectively recruited women from sites in the Democratic Republic of the Congo (DRC), Kenya, and Zambia who participated in the ASPIRIN (Aspirin Supplementation for Pregnancy Indicated risk Reduction In Nulliparas) trial. Nulliparous women were tested for first-trimester Plasmodium falciparum infection by quantitative polymerase chain reaction. We evaluated predictors using descriptive statistics. RESULTS: First-trimester malaria prevalence among 1513 nulliparous pregnant women was 6.3% (95% confidence interval [CI], 3.7%-8.8%] in the Zambian site, 37.8% (95% CI, 34.2%-41.5%) in the Kenyan site, and 62.9% (95% CI, 58.6%-67.2%) in the DRC site. First-trimester malaria was associated with shorter height and younger age in Kenyan women in site-stratified analyses, and with lower educational attainment in analyses combining all 3 sites. No other predictors were identified. CONCLUSIONS: First-trimester malaria prevalence varied by study site in sub-Saharan Africa. The absence of consistent predictors suggests that routine parasite screening in early pregnancy may be needed to mitigate first-trimester malaria in high-prevalence settings.

Predictors of measurement error in energy intake during pregnancy.

Nutrition plays a critical role in maternal and fetal health; however, research on error in the measurement of energy intake during pregnancy is limited. The authors analyzed data on 998 women living in central North Carolina with singleton pregnancies during 2001-2005. Second-trimester diet was assessed by food frequency questionnaire. Estimated energy requirements were calculated using Institute of Medicine prediction equations, with adjustment for energy costs during the second trimester. Implausible values for daily energy intake were determined using confidence limits of agreement for energy intake/estimated energy requirements. Prevalences of low energy reporting (LER) and high energy reporting (HER) were 32.8% and 12.9%, respectively. In a multivariable analysis, pregravid body mass index was related to both LER and HER; LER was higher in both overweight (odds ratio = 1.96, 95% confidence interval: 1.26, 3.02; P = 0.031) and obese (odds ratio = 3.29, 95% confidence interval: 2.33, 4.65; P < 0.001) women than in normal-weight counterparts. Other predictors of LER included marriage and higher levels of physical activity. HER was higher among subjects who were underweight, African-American, and less educated and subjects who had higher depressive symptom scores. LER and HER are prevalent during pregnancy. Identifying their predictors may improve data collection and analytic methods for reducing systematic bias in the study of diet and reproductive outcomes.

Fat intake and the risk of gastroschisis.

BACKGROUND: Young age has been associated with an increased risk of gastroschisis. It has been suggested that the pathogenesis of gastroschisis may be related to vascular disruption. Nutrients that may be associated with vasoconstriction include dietary fat and its subtypes. The objective of this study was to examine the association between dietary fats and gastroschisis and whether maternal age modified this association. METHODS: Data came from the National Birth Defects Prevention Study (NBDPS), which included 304 isolated gastroschisis cases and 3313 controls. Dietary intake in the year prior to conception was ascertained using a food frequency questionnaire, and included total, saturated, monosaturated, and polyunsaturated fat and cholesterol. Unconditional logistic regression was used to estimate the odds ratios (ORs) and 95% confidence intervals (CIs), adjusting for confounders. Age and smoking were tested as effect modifiers. RESULTS: Higher mean intakes of total energy, total fat, and cholesterol as well as the subtypes of fats were found for gastroschisis cases compared to controls. Cases were more likely to be in the middle (adjusted OR [AOR], 1.3; 95% CI, 0.9-1.9) and highest (AOR, 1.2; 95% CI, 0.8-1.7) tertile of total fat intake compared to controls. This pattern was also true for saturated fat intake. No association was found for mono or polyunsaturated fat. Cases were less likely to be in the middle (AOR, 0.6; 95% CI, 0.4-0.9) and highest (AOR, 0.8; 95% CI, 0.6-1.2) tertiles for cholesterol. There was no evidence of effect modification. CONCLUSIONS: A possible weak effect of increased risk of gastroschisis associated with higher intakes of total fat or saturated fat was found in the NBDPS; however, this did not help to explain why younger aged women are at greater risk of having an infant with this type of birth defect.