Dietary Quality during Pregnancy Varies by Maternal Characteristics in Project Viva: A US Cohort

被引:249
作者
Rifas-Shiman, Sheryl L. [1 ]
Rich-Edwards, Janet W. [1 ,2 ,3 ]
Kleinman, Ken P. [1 ]
Oken, Emily [1 ]
Gillman, Matthew W. [1 ,4 ]
机构
[1] Harvard Univ, Sch Med, Harvard Pilgrim Hlth Care, Dept Ambulatory Care & Prevent,Obes Prevent Progr, Boston, MA 02215 USA
[2] Harvard Univ, Sch Publ Hlth, Dept Epidemiol, Boston, MA 02115 USA
[3] Brigham & Womens Hosp, Connors Ctr Womens Hlth & Gender Biol, Boston, MA 02115 USA
[4] Harvard Univ, Sch Publ Hlth, Dept Nutr, Boston, MA 02115 USA
基金
美国国家卫生研究院;
关键词
FOOD FREQUENCY QUESTIONNAIRE; GESTATIONAL WEIGHT-GAIN; SUPPLEMENTATION; REPRODUCIBILITY; NUTRIENT; VALIDITY; DISEASE; RISK; CHILDHOOD; PATTERNS;
D O I
10.1016/j.jada.2009.03.001
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 Maternal diet may influence outcomes of pregnancy and childhood, but data on correlates of food and nutrient intake during pregnancy are scarce. Objective To examine relationships between maternal characteristics and diet quality during the first trimester of pregnancy. Secondarily we examined associations of diet quality with pregnancy outcomes. Methods As part of the ongoing US prospective cohort study Project Viva, we studied 1,777 women who completed a food frequency questionnaire during the first trimester of pregnancy. We used linear regression models to examine the relationships of maternal age, prepregnancy body mass index, parity, education, and race/ethnicity with dietary intake during pregnancy. We used the Alternate Healthy Eating Index, slightly modified for pregnancy (AHEI-P), to measure diet quality on a 90-point scale with each of the following nine components contributing 10 possible points: vegetables, fruit, ratio of white to red meat, fiber, trans fat, ratio of polyunsaturated to saturated fatty acids, and folate, calcium, and iron from foods. Results Mean AHEI-P score was 61 +/- 10 (minimum 33, maximum 89). After adjusting for all characteristics simultaneously, participants who were older (1.3 points per 5 years, 95% confidence interval [CI] [0.7 to 1.8]) had better AHEI-P scores. Participants who had higher body mass index (-0.9 points per 5 kg/m(2), 95% CI [-1.3 to -0.4]), were less educated (-5.2 points for high school or less vs college graduate, 95% CI [-7.0 to -3.5]), and had more children (-1.5 points per child, 95% CI [-2.2 to -0.8]) had worse AHEI-P scores, but African-American and white participants had similar AHEI-P scores (1.3 points for African American vs white, 95% CI [-0.2 to 2.8]). Using multivariate adjusted models, each five points of first trimester AHEI-P was associated lower screening blood glucose level (beta - 64 [95% CI -0.02 to -1.25]). In addition, each five points of second trimester AHEI-P was associated with a slightly lower risk of developing preeclampsia (odds ratio 0.87 [95% CI 0.76 to 1.00]), but we did not observe this association with first trimester AHEI-P (odds ratio 0.96 [95% CI 0.84 to 1.10]). Conclusions Pregnant women who were younger, less educated, had more children, and who had higher prepregnancy body mass index had poorer-quality diets. These results could be used to tailor nutrition education messages to pregnant women to avoid long-term sequelae from suboptimal maternal nutrition. J Am Diet Assoc. 2009;109:1004-1011.
引用
收藏
页码:1004 / 1011
页数:8
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