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The association between dietary patterns before pregnancy and gestational diabetes mellitus: a matched case-control study in China.
Li, Xinxin; Kang, Ting; Cui, Zhenwei; Bo, Yacong; Liu, Yanhui; Ullah, Amin; Suo, Xiangying; Chen, HuaNan; Lyu, Quanjun.
Afiliación
  • Li X; Department of Nutrition and Food Hygiene, School of Public Health of Zhengzhou University, Zhengzhou, China.
  • Kang T; Department of Infection and Prevention and Control, The Eighth People's Hospital of Zhengzhou, Zhengzhou, China.
  • Cui Z; Centre for Sport Nutrition and Health, School of Physical Education (main campus), Zhengzhou University, Zhengzhou, China.
  • Bo Y; Department of Nutrition and Food Hygiene, School of Public Health of Zhengzhou University, Zhengzhou, China.
  • Liu Y; Department of Nutrition, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
  • Ullah A; Department of Nutrition and Food Hygiene, School of Public Health of Zhengzhou University, Zhengzhou, China.
  • Suo X; Department of Epidemiology and Health Statistics, School of Public Health of Zhengzhou University, Zhengzhou, China.
  • Chen H; Department of Medical Record Management and Statistics, Shandong Provincial Qianfoshan Hospital, The First Affiliated Hospital of Shandong First Medical University, Jinan, China.
  • Lyu Q; Department of Nutrition and Food Hygiene, School of Public Health of Zhengzhou University, Zhengzhou, China. Email: lvquanjun666@163.com.
Asia Pac J Clin Nutr ; 33(3): 424-436, 2024 Sep.
Article en En | MEDLINE | ID: mdl-38965730
ABSTRACT
BACKGROUND AND

OBJECTIVES:

We aimed to explore the relationship between dietary patterns and gestational diabetes mellitus (GDM) during pre-pregnancy six months using principal component analysis (PCA) and the geometric framework for nutrition (GFN). METHODS AND STUDY

DESIGN:

We conducted a case-control study that included 210 GDM pregnant women and 210 controls. The dietary intake of all participants was assessed by a validated semi-quantitative food frequency questionnaire (FFQ). Major dietary patterns were extracted by PCA. A conditional logistic regression model was used to determine whether specific dietary patterns are associated with the risk of GDM. Meanwhile, the relationship between dietary patterns and GDM was visualized using GFN.

RESULTS:

Four major dietary patterns were identified "protein-rich pattern," "plant-based pattern," "oil-pickles-desserts pattern," and "cereals-nuts pattern." After adjustment for confounders, the "plant-based pattern" was associated with decreased risk of GDM (Q4 vs. Q1 OR = 0.01, 95% CI 0.00-0.08), whereas no significant association was found in other dietary patterns. Moreover, there was no dietary intake of ice cream cones and deep-fried dough sticks for the population, which would produce fewer patients with GDM. Deep-fried dough sticks had statistically significant differences in the case and control groups (p < 0.001), while ice cream cones had the opposite result.

CONCLUSIONS:

The "plant-based pattern" may reduce the risk of GDM. Besides, although the "cereals-nuts pattern" had no association with GDM risk, avoiding the intake of deep-fried dough sticks could decrease GDM risk.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Diabetes Gestacional / Dieta Límite: Adult / Female / Humans / Pregnancy País/Región como asunto: Asia Idioma: En Revista: Asia Pac J Clin Nutr Asunto de la revista: CIENCIAS DA NUTRICAO Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Diabetes Gestacional / Dieta Límite: Adult / Female / Humans / Pregnancy País/Región como asunto: Asia Idioma: En Revista: Asia Pac J Clin Nutr Asunto de la revista: CIENCIAS DA NUTRICAO Año: 2024 Tipo del documento: Article País de afiliación: China