Literature DB >> 27451983

Healthy and unhealthy dietary patterns are related to pre-diabetes: a case-control study.

Fariba Bagheri1, Fereydoun Siassi1, Fariba Koohdani2, Behzad Mahaki3, Mostafa Qorbani4, Parvaneh Yavari1, Osman Mohammed Shaibu1, Gity Sotoudeh1.   

Abstract

Pre-diabetes increases the risk of diabetes and CVD. Several studies have investigated the relationship between food intake and pre-diabetes morbidity, but the dietary patterns of pre-diabetes subjects were not taken into consideration. The aim of this study was to determine the relationship between dietary patterns and pre-diabetes. In this regard, 150 pre-diabetic subjects and 150 healthy controls, who attended the diabetes screening centre in Shahreza, Iran, were matched for age group and sex. The weight, height, waist circumference, physical activity, systolic and diastolic blood pressures, and blood glucose levels of all participants were measured. Dietary information was collected using a semi-quantitative FFQ. Using factor analysis, two dietary patterns were identified: the vegetables, fruits and legumes (VFL) dietary pattern and the sweet, solid fat, meat and mayonnaise (SSMM) dietary pattern. Multivariate logistic regression was used to assess the relationship between pre-diabetes and dietary patterns. After adjusting for age, education, physical activity, BMI and energy intake, the VFL dietary pattern was found to be negatively associated with lower pre-diabetes (OR 0·16; 95 % CI 0·10, 0·26). Furthermore, the SSMM dietary pattern was positively associated with pre-diabetes (OR 5·45; 95 % CI 3·22, 9·23). In conclusion, the VFL dietary pattern is inversely related to pre-diabetes, whereas the SSMM dietary pattern is associated with increased risk of pre-diabetes.

Entities:  

Keywords:  Dietary patterns; FBG fasting blood glucose; Factor analyses; IGT impaired glucose tolerance; OGTT oral glucose tolerance test; Pre-diabetes; SSMM sweet; VFL vegetables; WC waist circumference; fruits and legumes; meat and mayonnaise; solid fat

Mesh:

Year:  2016        PMID: 27451983     DOI: 10.1017/S0007114516002634

Source DB:  PubMed          Journal:  Br J Nutr        ISSN: 0007-1145            Impact factor:   3.718


  8 in total

1.  Association of dietary patterns with continuous metabolic syndrome in children and adolescents; a nationwide propensity score-matched analysis: the CASPIAN-V study.

Authors:  Roya Kelishadi; Ramin Heshmat; Marjan Mansourian; Mohammad Esmaeil Motlagh; Hasan Ziaodini; Majzoubeh Taheri; Zeinab Ahadi; Tahereh Aminaee; Azam Goodarzi; Morteza Mansourian; Mostafa Qorbani; Nafiseh Mozafarian
Journal:  Diabetol Metab Syndr       Date:  2018-07-03       Impact factor: 3.320

2.  The dietary acid load is higher in subjects with prediabetes who are at greater risk of diabetes: a case-control study.

Authors:  Maryam Abshirini; Fariba Bagheri; Behzad Mahaki; Fereydoun Siassi; Fariba Koohdani; Maryam Safabakhsh; Gity Sotoudeh
Journal:  Diabetol Metab Syndr       Date:  2019-07-01       Impact factor: 3.320

3.  Mediterranean Diet and Healthy Eating in Subjects with Prediabetes from the Mollerussa Prospective Observational Cohort Study.

Authors:  Mireia Falguera; Esmeralda Castelblanco; Marina Idalia Rojo-López; Maria Belén Vilanova; Jordi Real; Nuria Alcubierre; Neus Miró; Àngels Molló; Manel Mata-Cases; Josep Franch-Nadal; Minerva Granado-Casas; Didac Mauricio
Journal:  Nutrients       Date:  2021-01-16       Impact factor: 5.717

4.  Dietary Fat Quality and Pre-diabetes: A Case-control Study.

Authors:  Maryam Abshirini; Behzad Mahaki; Fariba Bagheri; Fereydoun Siassi; Fariba Koohdani; Mostafa Qorbani; Parvaneh Yavari; Gity Sotoudeh
Journal:  Int J Prev Med       Date:  2020-10-05

5.  Prevalence of prediabetes and associated factors in southwest iran: results from Hoveyzeh cohort study.

Authors:  Seyed Jalal Hashemi; Majid Karandish; Bahman Cheraghian; Maryam Azhdari
Journal:  BMC Endocr Disord       Date:  2022-03-19       Impact factor: 2.763

Review 6.  Association between dietary patterns and prediabetes, undetected diabetes or clinically diagnosed diabetes: results from the KORA FF4 study.

Authors:  Giulia Pestoni; Anna Riedl; Taylor A Breuninger; Nina Wawro; Jean-Philippe Krieger; Christa Meisinger; Wolfgang Rathmann; Barbara Thorand; Carla Harris; Annette Peters; Sabine Rohrmann; Jakob Linseisen
Journal:  Eur J Nutr       Date:  2020-10-30       Impact factor: 5.614

7.  Higher Intake of Phytochemical-Rich Foods is Inversely Related to Prediabetes: A Case-Control Study.

Authors:  Maryam Abshirini; Behzad Mahaki; Fariba Bagheri; Fereydoun Siassi; Fariba Koohdani; Gity Sotoudeh
Journal:  Int J Prev Med       Date:  2018-07-30

8.  Association between dietary patterns and prediabetes risk in a middle-aged Chinese population.

Authors:  Xiao-Ming Shen; Yi-Qian Huang; Xiao-Yan Zhang; Xiao-Qing Tong; Pei-Fen Zheng; Long Shu
Journal:  Nutr J       Date:  2020-07-30       Impact factor: 3.271

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.