Associations between preconception macronutrient intake and birth weight across strata of maternal BMI.

INTRODUCTION: Maternal nutrition during pregnancy is linked with birth outcomes including fetal growth, birth weight, congenital anomalies and long-term health through intra-uterine programming. However, a woman's nutritional status before pregnancy is a strong determinant in early embryo-placental development, and subsequently outcomes for both mother and child. Therefore, the aim of this study was to investigate the association between dietary macronutrient intake in the preconception period with birth weight. METHODS: We studied a group of 1698 women from the Dutch Perined-Lifelines linked birth cohort with reliable detailed information on preconception dietary macronutrient intake (using a semi quantitative food frequency questionnaire) and data available on birth weight of the offspring. Birth weight was converted into gestational age adjusted z-scores, and macronutrient intake was adjusted for total energy intake using the nutrient residual method. Preconception BMI was converted into cohort-based quintiles. Multivariable linear regression was performed, adjusted for other macronutrients and covariates. RESULTS: Mean maternal age was 29.5 years (SD 3.9), preconception BMI: 24.7 kg/m2 (SD 4.2) and median daily energy intake was 1812 kcal (IQR 1544-2140). Mean birth weight was 3578 grams (SD 472). When adjusted for covariates, a significant association (adjusted z score [95% CI], P) between polysaccharides and birth weight was shown (0.08 [0.01-0.15], 0.03). When linear regression analyses were performed within cohort-based quintiles of maternal BMI, positive significant associations between total protein, animal protein, fat, total carbohydrates, mono-disaccharides and polysaccharides with birth weight were shown in the lowest quintile of BMI independent of energy intake, intake of other macronutrients and covariates. CONCLUSION: Out of all macronutrients studied, polysaccharides showed the strongest association with birth weight, independent of energy intake and other covariates. Our study might suggest that specifically in women with low preconception BMI a larger amount of macronutrient intake was associated with increased birth weight. We recommend that any dietary assessment and advise during preconception should be customized to preconception weight status of the women.

Development of food lists as a first step to develop a food frequency questionnaire for toddlers in a multi-ethnic population.

AIM: Toddlerhood is an important stage of growth, thus understanding the food intake of children in this age group is important. In Singapore, there is currently no simple tool, such as Food Frequency Questionnaire (FFQ), to collect dietary information from this ethnically diverse age group. Generating an appropriate food list is a crucial step in the development of a FFQ and this step is not clearly documented in the literature. The purpose of this study is to generate food lists and portion sizes for toddlers from three major ethnic groups in Singapore and document the processes involved in this first stage. METHODS: A total of 30 mothers (equal number of Malays, Indians and Chinese) of 11-24-month-old children completed three-day food records and participated in the focus group discussion. The reported food items were then categorised into food groups. RESULTS: The food lists varied by ethnic groups with the longest list obtained from Chinese toddlers. There were also other foods that were then classified as common foods for all ethnicities. Commonly used utensils among the three ethnic groups were small-sized bowls, plates, cups and spoons. For portion sizes, these utensils were typically half-filled for the toddlers. CONCLUSIONS: As all Singaporeans have access to the same foods, the ethnic-specific food lists generated in this study could be combined into one list. Together with portion sizes, this information can be used for developing a semi-quantitative FFQ.