Literature DB >> 35614208

Association of breakfast consumption frequency with fasting glucose and insulin sensitivity/b cells function (HOMA-IR) in adults from high-risk families for type 2 diabetes in Europe: the Feel4Diabetes Study.

Kiriaki Apergi1, Kalliopi Karatzi2, Kyriakos Reppas3, Eva Karaglani3, Natalya Usheva4, Natalia Giménez-Legarre5,6,7, Luis A Moreno5,6,7,8, Roumyana Dimova9, Emese Antal10, Kivelä Jemina11, Greet Cardon12, Violeta Iotova13, Yannis Manios3,14, Konstantinos Makrilakis15.   

Abstract

PURPOSE: This study aimed to investigate the association of breakfast consumption frequency (BCF) with glycemic control indices in a cross-sectional sample of adults from families at high risk for type 2 diabetes mellitus (T2DM), exploring the role of sex and socioeconomic status (SES).
METHODS: In 2370 adults (40.8 ± 5.6 years) from 6 European countries, sociodemographic, lifestyle, anthropometric and biochemical characteristics were assessed through standardized procedures. Multivariable regression models were used to examine the association between fasting glucose (FG), fasting insulin (FI), and insulin resistance (HOMA-IR) (dependent variables) with BCF (independent variable) controlling for multiple possible confounders.
RESULTS: A linear association of BCF with FG (β = -0.557, 95% CI (-0.834, -0.280)) and a quadratic association with FI and HOMA-IR with the highest point of curve observed at BCF = 2.989 (times/week) and at BCF = 2.746, respectively, independent of the used covariates. In males and in participants of high SES, BCF was linearly and inversely associated with FG, while with FI and HOMA-IR there was an association with BCF in quadratic function. In females, BCF was linearly and inversely associated with FG and HOMA-IR, and there was a quadratic association with FI. In low SES there was only a linear association with FG, yet with no statistically significant findings for FI and HOMA-IR.
CONCLUSIONS: Regular breakfast consumption, especially >3 times/week is associated with improved indices of glycemic control. This association was diminished in low SES participants in the presence of the used covariates.
© 2022. The Author(s), under exclusive licence to Springer Nature Limited.

Entities:  

Year:  2022        PMID: 35614208     DOI: 10.1038/s41430-022-01160-z

Source DB:  PubMed          Journal:  Eur J Clin Nutr        ISSN: 0954-3007            Impact factor:   4.016


  35 in total

1.  Determinants of fasting plasma glucose and glycosylated hemoglobin among low income Latinos with poorly controlled type 2 diabetes.

Authors:  Grace Kollannoor-Samuel; Jyoti Chhabra; Maria Luz Fernandez; Sonia Vega-López; Sofia Segura Pérez; Grace Damio; Mariana C Calle; Darrin D'Agostino; Rafael Pérez-Escamilla
Journal:  J Immigr Minor Health       Date:  2011-10

2.  A preprandial rise in plasma ghrelin levels suggests a role in meal initiation in humans.

Authors:  D E Cummings; J Q Purnell; R S Frayo; K Schmidova; B E Wisse; D S Weigle
Journal:  Diabetes       Date:  2001-08       Impact factor: 9.461

3.  Breakfast Skipping Is Associated with Increased Risk of Type 2 Diabetes among Adults: A Systematic Review and Meta-Analysis of Prospective Cohort Studies.

Authors:  Aurélie Ballon; Manuela Neuenschwander; Sabrina Schlesinger
Journal:  J Nutr       Date:  2019-01-01       Impact factor: 4.798

4.  Association between breakfast skipping and postprandial hyperglycaemia after lunch in healthy young individuals.

Authors:  Hitomi Ogata; Yoichi Hatamoto; Yusuke Goto; Eri Tajiri; Eiichi Yoshimura; Ken Kiyono; Yoshinari Uehara; Kentaro Kawanaka; Naomi Omi; Hiroaki Tanaka
Journal:  Br J Nutr       Date:  2019-08-28       Impact factor: 3.718

5.  Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: Results from the International Diabetes Federation Diabetes Atlas, 9th edition.

Authors:  Pouya Saeedi; Inga Petersohn; Paraskevi Salpea; Belma Malanda; Suvi Karuranga; Nigel Unwin; Stephen Colagiuri; Leonor Guariguata; Ayesha A Motala; Katherine Ogurtsova; Jonathan E Shaw; Dominic Bright; Rhys Williams
Journal:  Diabetes Res Clin Pract       Date:  2019-09-10       Impact factor: 5.602

6.  Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance.

Authors:  J Tuomilehto; J Lindström; J G Eriksson; T T Valle; H Hämäläinen; P Ilanne-Parikka; S Keinänen-Kiukaanniemi; M Laakso; A Louheranta; M Rastas; V Salminen; M Uusitupa
Journal:  N Engl J Med       Date:  2001-05-03       Impact factor: 91.245

7.  10-year follow-up of diabetes incidence and weight loss in the Diabetes Prevention Program Outcomes Study.

Authors:  William C Knowler; Sarah E Fowler; Richard F Hamman; Costas A Christophi; Heather J Hoffman; Anne T Brenneman; Janet O Brown-Friday; Ronald Goldberg; Elizabeth Venditti; David M Nathan
Journal:  Lancet       Date:  2009-10-29       Impact factor: 79.321

Review 8.  Prediabetes: a high-risk state for diabetes development.

Authors:  Adam G Tabák; Christian Herder; Wolfgang Rathmann; Eric J Brunner; Mika Kivimäki
Journal:  Lancet       Date:  2012-06-09       Impact factor: 79.321

Review 9.  Meal Timing and Frequency: Implications for Cardiovascular Disease Prevention: A Scientific Statement From the American Heart Association.

Authors:  Marie-Pierre St-Onge; Jamy Ard; Monica L Baskin; Stephanie E Chiuve; Heather M Johnson; Penny Kris-Etherton; Krista Varady
Journal:  Circulation       Date:  2017-01-30       Impact factor: 29.690

Review 10.  Association between prediabetes and risk of cardiovascular disease and all cause mortality: systematic review and meta-analysis.

Authors:  Yuli Huang; Xiaoyan Cai; Weiyi Mai; Meijun Li; Yunzhao Hu
Journal:  BMJ       Date:  2016-11-23
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.