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.
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 tosaturated 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.
Authors: Teresa T Fung; Marjorie L McCullough; P K Newby; Joann E Manson; James B Meigs; Nader Rifai; Walter C Willett; Frank B Hu Journal: Am J Clin Nutr Date: 2005-07 Impact factor: 7.045
Authors: Sheryl L Rifas-Shiman; Janet W Rich-Edwards; Walter C Willett; Ken P Kleinman; Emily Oken; Matthew W Gillman Journal: Paediatr Perinat Epidemiol Date: 2006-01 Impact factor: 3.980
Authors: Jenny S Radesky; Emily Oken; Sheryl L Rifas-Shiman; Ken P Kleinman; Janet W Rich-Edwards; Matthew W Gillman Journal: Paediatr Perinat Epidemiol Date: 2008-01 Impact factor: 3.980
Authors: Boyd E Metzger; Lynn P Lowe; Alan R Dyer; Elisabeth R Trimble; Udom Chaovarindr; Donald R Coustan; David R Hadden; David R McCance; Moshe Hod; Harold David McIntyre; Jeremy J N Oats; Bengt Persson; Michael S Rogers; David A Sacks Journal: N Engl J Med Date: 2008-05-08 Impact factor: 91.245
Authors: Monica Ancira-Moreno; Felipe Vadillo-Ortega; Juan Ángel Rivera-Dommarco; Brisa N Sánchez; Jeremy Pasteris; Carolina Batis; Marisol Castillo-Castrejón; Marie S O'Neill Journal: Nutrition Date: 2019-03-09 Impact factor: 4.008
Authors: Emily Oken; Andrea A Baccarelli; Diane R Gold; Ken P Kleinman; Augusto A Litonjua; Dawn De Meo; Janet W Rich-Edwards; Sheryl L Rifas-Shiman; Sharon Sagiv; Elsie M Taveras; Scott T Weiss; Mandy B Belfort; Heather H Burris; Carlos A Camargo; Susanna Y Huh; Christos Mantzoros; Margaret G Parker; Matthew W Gillman Journal: Int J Epidemiol Date: 2014-03-16 Impact factor: 7.196