Using Food Network Analysis to Understand Meal Patterns in Pregnant Women with High and Low Diet Quality
| Autor: | Carolina Schwedhelm, Khalid Iqbal, Leah M. Lipsky, Grace M. Betts, Grace E. Shearrer, Tonja R. Nansel, Aiyi Liu, Myles S. Faith |
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| Rok vydání: | 2020 |
| Předmět: |
Adult
0301 basic medicine Maternal Perinatal and Pediatric Nutrition Healthy eating index RC620-627 Dinner Medicine (miscellaneous) 030209 endocrinology & metabolism Physical Therapy Sports Therapy and Rehabilitation Clinical nutrition Food group 03 medical and health sciences 0302 clinical medicine Pregnancy Food choice medicine Humans Prospective Studies Food science Nutritional diseases. Deficiency diseases Meals Breakfast Meal patterns Meal 030109 nutrition & dietetics Nutrition and Dietetics business.industry Research digestive oral and skin physiology food and beverages Feeding Behavior medicine.disease Diet Cross-Sectional Studies Lunch Diet quality Cohort Female Network analysis Pregnant Women Snacks Public aspects of medicine RA1-1270 Dietary modifications business Gaussian graphical models Food Science |
| Zdroj: | Curr Dev Nutr International Journal of Behavioral Nutrition and Physical Activity, Vol 18, Iss 1, Pp 1-13 (2021) The International Journal of Behavioral Nutrition and Physical Activity |
| ISSN: | 2475-2991 |
| Popis: | Background Little is known about how meal-specific food intake contributes to overall diet quality during pregnancy, which is related to numerous maternal and child health outcomes. Food networks are probabilistic graphs using partial correlations to identify relationships among food groups in dietary intake data, and can be analyzed at the meal level. This study investigated food networks across meals in pregnant women and explored differences by overall diet quality classification. Methods Women were asked to complete three 24-h dietary recalls throughout pregnancy (n = 365) within a prospective cohort study in the US. Pregnancy diet quality was evaluated using the Healthy Eating Index-2015 (HEI, range 0-100), calculated across pregnancy. Networks from 40 food groups were derived for women in the highest and lowest HEI tertiles at each participant-labeled meal (i.e., breakfast, lunch, dinner, snacks) using Gaussian graphical models. Network composition was qualitatively compared across meals and between HEI tertiles. Results In both HEI tertiles, breakfast food combinations comprised ready-to-eat cereals with milk, quick breads with sweets (e.g., pancakes with syrup), and bread with cheese and meat. Vegetables were consumed at breakfast among women in the high HEI tertile only. Combinations at lunch and dinner were more varied, including vegetables with oils (e.g., salads) in the high tertile and sugary foods with nuts, fruits, and milk in the low tertile at lunch; and cooked grains with fats (e.g., pasta with oil) in the high tertile and potatoes with vegetables and meat in the low tertile at dinner. Fried potatoes, sugar-sweetened beverages, and sandwiches were consumed together at all main meals in the low tertile only. Foods were consumed individually at snacks in both tertiles; the most commonly consumed food were fruits in the high HEI tertile and cakes & cookies in the low tertile. Conclusions In this cohort of pregnant women, food network analysis indicated that food combinations differed by meal and between HEI tertiles. Meal-specific patterns that differed between diet quality tertiles suggest potential targets to improve food choices at meals; the impact of meal-based dietary modifications on intake of correlated foods and on overall diet quality should be investigated in simulations and intervention studies. Trial registration PEAS was registered with number NCT02217462 in Clinicaltrials.gov on August 13, 2014. |
| Databáze: | OpenAIRE |
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