The association between dietary patterns before pregnancy and gestational diabetes mellitus: a matched case-control study in China

被引:1
作者
Li, Xinxin [1 ]
Kang, Ting [2 ]
Cui, Zhenwei [3 ]
Bo, Yacong [1 ]
Liu, Yanhua [4 ]
Ullah, Amin [1 ]
Suo, Xiangying [5 ]
Chen, HuaNan [6 ]
Lyu, Quanjun [1 ,7 ]
机构
[1] Zhengzhou Univ, Sch Publ Hlth, Dept Nutr & Food Hyg, 100 Sci Ave, Zhengzhou 450001, Henan, Peoples R China
[2] Eighth Peoples Hosp Zhengzhou, Dept Infect & Prevent & Control, Zhengzhou, Peoples R China
[3] Zhengzhou Univ, Ctr Sport Nutr & Hlth, Sch Phys Educ, Main Campus, Zhengzhou, Peoples R China
[4] Zhengzhou Univ, Affiliated Hosp 1, Dept Nutr, Zhengzhou, Peoples R China
[5] Zhengzhou Univ, Sch Publ Hlth, Dept Epidemiol & Hlth Stat, Zhengzhou, Peoples R China
[6] Shandong First Med Univ, Shandong Prov Qianfoshan Hosp, Affiliated Hosp 1, Dept Med Record Management & Stat, Jinan, Peoples R China
[7] Zhengzhou Shuqing Med Coll, Dept Publ Hlth, Zhengzhou, Peoples R China
关键词
dietary patterns; gestational diabetes mellitus; principal component analysis; geometric framework for nutrition; matched case-control study; PROTEIN INTAKE; LIVER-DISEASE; RISK; OBESITY; FOODS;
D O I
10.6133/apjcn.202409_33(3).0013
中图分类号
R15 [营养卫生、食品卫生]; TS201 [基础科学];
学科分类号
100403 ;
摘要
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 geo-metric 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 similar to 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.
引用
收藏
页码:424 / 436
页数:13
相关论文
共 50 条
  • [21] Association between Dietary Protein Intake and Type 2 Diabetes Mellitus in Chinese Rural Elderly Population: A Matched Case-Control Study
    Liang, Qian
    LYu, Quanjun
    Fan, Mengying
    Mao, Zhenxing
    Wang, Chongjian
    Li, Yuqian
    Cui, Songyang
    Niu, Kailin
    Gu, Ruohua
    LI, Linlin
    JOURNAL OF NUTRITIONAL SCIENCE AND VITAMINOLOGY, 2022, 68 (05) : 399 - 408
  • [22] Association between AMPKα1 gene polymorphisms and gestational diabetes in the Chinese population: A case-control study
    Guo, Mengzhu
    Ren, Qingwen
    Yang, Feifei
    Han, Tianbi
    Du, Wenqiong
    Zhao, Feng
    Li, Wangjun
    Li, Jinbo
    Feng, YongLiang
    Zhang, Yawei
    Wang, Suping
    Wu, Weiwei
    DIABETIC MEDICINE, 2021, 38 (11)
  • [23] Dietary Patterns during Pregnancy Are Associated with Risk of Gestational Diabetes Mellitus
    Shin, Dayeon
    Lee, Kyung Won
    Song, Won O.
    NUTRIENTS, 2015, 7 (11) : 9369 - 9382
  • [24] Association of maternal dietary patterns derived by multiple approaches with gestational diabetes mellitus: a prospective cohort study
    Wang, Shanshan
    Liu, Hongjuan
    Luo, Can
    Zhao, Rui
    Zhou, Leilei
    Huang, Shanshan
    Ge, Yanyan
    Cui, Ningning
    Shen, Jian
    Yang, Xuefeng
    Xiong, Guoping
    Hao, Liping
    INTERNATIONAL JOURNAL OF FOOD SCIENCES AND NUTRITION, 2023, 74 (04) : 487 - 500
  • [25] Dietary patterns during pregnancy derived by reduced-rank regression and their association with gestational diabetes mellitus
    Sartorelli, Daniela Saes
    Candelas Zuccolotto, Daniela Cristina
    Crivellenti, Livia Castro
    Franco, Laercio Joel
    NUTRITION, 2019, 60 : 191 - 196
  • [26] Associations of bisphenol exposure with the risk of gestational diabetes mellitus: a nested case-control study in Guangxi, China
    Tang, Peng
    Liang, Jun
    Liao, Qian
    Huang, Huishen
    Guo, Xiaojing
    Lin, Mengrui
    Liu, Bihu
    Wei, Bincai
    Zeng, Xiaoyun
    Liu, Shun
    Huang, Dongping
    Qiu, Xiaoqiang
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (10) : 25170 - 25180
  • [27] Association between dietary patterns and bacterial vaginosis: a case-control study
    Noormohammadi, Morvarid
    Eslamian, Ghazaleh
    Kazemi, Seyyedeh Neda
    Rashidkhani, Bahram
    SCIENTIFIC REPORTS, 2022, 12 (01)
  • [28] Association of Dietary Pattern during Pregnancy and Gestational Diabetes Mellitus: A Prospective Cohort Study in Northern China
    DU Hong Yi
    JIANG Hong
    O Karmin
    CHEN Bo
    XU Lin Ji
    LIU Shu Ping
    YI Jian Ping
    HE Geng Sheng
    QIAN Xu
    BiomedicalandEnvironmentalSciences, 2017, 30 (12) : 887 - 897
  • [29] A nested case-control study of the association between exposure to polybrominated diphenyl ethers and the risk of gestational diabetes mellitus
    Liu, Xin
    Zhang, Lei
    Li, Jingguang
    Meng, Guimin
    Chi, Min
    Li, Tiantian
    Zhao, Yunfeng
    Wu, Yongning
    ENVIRONMENT INTERNATIONAL, 2018, 119 : 232 - 238
  • [30] Association between intrahepatic cholestasis of pregnancy and gestational diabetes mellitus
    Magdolna, Ozsvari-Vidakovich
    Aniko, Somogyi
    Klara, Rosta
    ORVOSI HETILAP, 2023, 164 (21) : 831 - 835