Objective: To explore the association between dietary patterns during pregnancy and the development of gestational diabetes mellitus (GDM), so as to provide the guidance of diet balance and GDM prevention for pregnant women. Methods: Pregnant women who underwent prenatal examination at the First Affiliated Hospital of Xinjiang Medical University from December 2021 to July 2022 were selected as the subjects. The oral glucose tolerance test (OGTT) was employed at 24 to 28 weeks of gestation to diagnose GDM. The questionnaire of "The Survey on Nutrition and Health of Pregnant Women in China" was used to collect general information, food intake frequency and amount during a month before OGTT. Dietary patterns were determined by factor analysis, and the association between dietary patterns and the development of GDM was identified using a multivariable logistic regression model. Results: Totally 449 pregnant women were included, with a median (interquartile range) age of 31.00 (5.00) years and a median (interquartile range) gestational age of 35.00 (3.00) weeks. There were 7 dietary patterns named potato-cereal pattern, poultry-meat-dessert pattern, milk-egg-aquatic product pattern, mushroom-vegetable-offal pattern, fruit-bean pattern, pickle-wheaten food pattern, and beverage-nut pattern according to the food types with high factor loads. There were 89 cases diagnosed as GDM, with a prevalence rate of 19.82%. Multivariable logistic regression analysis showed that the development of GDM was associated with the poultry-meat-dessert pattern (OR=0.242, 95%CI: 0.086-0.678) and the fruit-bean pattern (OR=0.093, 95%CI: 0.025-0.342), compared with the potato-cereal pattern. Conclusion Compared to the potato-cereal pattern, the poultry-meat-dessert pattern and the fruit-bean pattern may reduce the risk of GDM. Key words： gestational diabetes mellitus dietary pattern pregnant woman low carbohydrate diet

Objective: To investigate the nutritional status and examine its association with feeding among infants at ages of 6 to 24 months in Xinjiang Uygur Autonomous Region, so as to provide the evidence for improving malnutrition among infants. Methods: Infants at ages of 6 to 24 months participating in physical examinations in Urumqi City and Moyu County from January to December 2021 were enrolled. Participants' gender, age, birth status, place of residence and maternal education level were collected through questionnaire surveys, and infants' feeding was evaluated using Infant and Child Feeding Index (ICFI). Age-specific height and body weight and height-specific body weight were calculated, and nutritional status was evaluated using Z score. The association between ICFI and malnutrition was evaluated using a multivariable logistic regression model. Results : A total of 1 013 infants were surveyed, including 557 boys (54.99%) and 456 girls (45.01%). The participants included 545 infants at ages of 12 to 24 months (53.80%), 969 full-term infants (95.66%), and 617 infants with qualified ICFI scores (60.91%). The prevalence of malnutrition was 8.59% among participants. Multivariable logistic regression analysis showed that infants with qualified ICFI score had a lower risk of malnutrition (OR=0.538, 95%CI: 0.327-0.883) after adjustment for age, birth status, place of residence, maternal education level and monthly household income. Conclusion The prevalence of malnutrition is low among infants at ages of 6 to 24 months in Xinjiang Uygur Autonomous Region, and infants with qualified feeding have a reduced risk of malnutrition.