Translation of nutrient recommendations into personalized optimal diets for Chinese urban lactating women by linear programming models

Autor: Peiyu Wang, Yumei Zhang, Wenzhi Zhao, Ai Zhao, Yong Xue, Wenjun Li, Kai Yu
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Adult
0301 basic medicine
Vitamin
China
Adolescent
Urban Population
Maternal Nutritional Physiological Phenomena
Breastfeeding
Recommended Dietary Allowances
lcsh:Gynecology and obstetrics
Young Adult
03 medical and health sciences
chemistry.chemical_compound
0302 clinical medicine
Nutrient
Environmental health
Linear programming
medicine
Humans
Lactation
030212 general & internal medicine
Precision Medicine
Infant Nutritional Physiological Phenomena
lcsh:RG1-991
Lactation mother
Pregnancy
Meal
030109 nutrition & dietetics
business.industry
Infant
Newborn
Infant
Obstetrics and Gynecology
Feeding Behavior
Programming
Linear
Middle Aged
Nutrition Surveys
medicine.disease
Nutrient recommendation
Diet
Breast Feeding
chemistry
Dietary Reference Intake
Personalized optimal diets
Child
Preschool
Female
Energy Intake
business
Breast feeding
Zdroj: BMC Pregnancy and Childbirth, Vol 18, Iss 1, Pp 1-14 (2018)
ISSN: 1471-2393
DOI: 10.1186/s12884-018-2008-6
Popis: Background Lactating women need to consume a high-quality diet to replete nutrient stores depleted during pregnancy and to ensure sufficient nutrition for breastfeeding. However, several studies reported suboptimal dietary quality and nutrient intake of lactating mothers in China. The objectives of this study was to apply dietary modeling method to develop individualized optimal diets, which meet the nutrient requirements for lactating women in urban China. Methods Data were collected from a sample of 576 lactating women from 0 to 240 days postpartum during the Maternal Infant Nutrition Growth study conducted between 2011 and 2012 in three cities including Beijing, Guangzhou, and Suzhou. Dietary intake data were collected with an interviewer-administered 24-h survey. Linear programming was applied to develop dietary plans that meet recommendations for lactation women in the China Dietary Reference Intakes 2013 and the Chinese Dietary Guideline 2016, while with least deviation from the observed dietary intake. Results Through dietary modeling, individual optimal diets were developed for 576 lactating women. The optimal diets met all the food and nutrient intake constraints set in the linear programming models. The large difference between observed and optimized diets suggests that the nutrient needs of lactating mothers in China may only be met after substantial dietary changes. In addition, the analysis showed that it was difficult to meet the recommended intake for six nutrients: vitamin A, vitamin B1, vitamin B6, calcium, selenium, and dietary fiber. Moreover, four clusters in the optimized diets were identified by K-means cluster analysis. The four clusters confirmed that the optimal diets developed by linear programming could characterize the variety in dietary habits by geographical regions and duration of lactation. Conclusion Linear programming could help translate nutrient recommendations into personal diet advices for a sample of urban lactating mothers from China. The study showed that dietary modeling is helpful to support healthy eating of lactation women by translating dietary guidelines into personalized meal plans. Trial registration The Maternal Infant Nutrition Growth study was registered in ClinicalTrials.gov with identifier NCT01971671. Registration date October 29, 2013.
Databáze: OpenAIRE
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