Literature DB >> 29172021

Early-onset type 2 diabetes: Age gradient in clinical and behavioural risk factors in 5115 persons with newly diagnosed type 2 diabetes-Results from the DD2 study.

A Bo1,2, R W Thomsen3, J S Nielsen4, S K Nicolaisen3, H Beck-Nielsen4, J Rungby5,6, H T Sørensen3, T K Hansen7, J Søndergaard8, S Friborg9, T Lauritzen2, H T Maindal2,10.   

Abstract

AIM: To examine the association between early onset of type 2 diabetes mellitus (DM) and clinical and behavioural risk factors for later complications of diabetes.
METHODS: We conducted a cross-sectional study of 5115 persons with incident type 2 DM enrolled during 2010-2015 in the Danish Centre for Strategic Research in Type 2 Diabetes-cohort. We compared risk factors at time of diagnosis among those diagnosed at ≤45 years (early onset) with diagnosis age 46 to 55, 56 to 65 (average onset = reference), 66 to 75, and >75 years (late onset). Prevalence ratios (PRs) were computed by using Poisson regression.
RESULTS: Poor glucose control, ie, HbA1c ≥ 75 mmol/mol (≥9.0%) in the early-, average-, and late-onset groups was observed in 12%, 7%, and 1%, respectively (PR 1.70 [95% confidence intervals (CI) 1.27, 2.28] and PR 0.17 [95% CI 0.06, 0.45]). A similar age gradient was observed for severe obesity (body mass index > 40 kg/m2 : 19% vs. 8% vs. 2%; PR 2.41 [95% CI 1.83, 3.18] and 0.21 (95% CI 0.08, 0.57]), dyslipidemia (90% vs. 79% vs. 68%; PR 1.14 [95% CI 1.10, 1.19] and 0.86 [95% CI 0.79, 0.93]), and low-grade inflammation (C-reactive protein > 3.0 mg/L: 53% vs. 38% vs. 26%; PR 1.41 [95% CI 1.12, 1.78] and 0.68 [95% CI 0.42, 1.11]). Daily smoking was more frequent and meeting physical activity recommendations less likely in persons with early-onset type 2 DM.
CONCLUSIONS: We found a clear age gradient, with increasing prevalence of clinical and behavioural risk factors the younger the onset age of type 2 DM. Younger persons with early-onset type 2 DM need clinical awareness and support.
Copyright © 2017 John Wiley & Sons, Ltd.

Entities:  

Keywords:  DD2 study; cross sections study; early onset type 2 diabetes; health behaviour; risk factors

Mesh:

Year:  2017        PMID: 29172021     DOI: 10.1002/dmrr.2968

Source DB:  PubMed          Journal:  Diabetes Metab Res Rev        ISSN: 1520-7552            Impact factor:   4.876


  13 in total

1.  Applications for social security benefits related to diabetes in the working age in Italy between 2009 and 2019: a nationwide retrospective cohort study.

Authors:  Marco Trabucco Aurilio; Maria Ida Maiorino; Francesco Saverio Mennini; Lorenzo Scappaticcio; Miriam Longo; Claudia Nardone; Luca Coppeta; Simone Gazzillo; Raffaele Migliorini; Giuseppe Bellastella; Dario Giugliano; Katherine Esposito
Journal:  BMJ Open       Date:  2022-05-24       Impact factor: 3.006

2.  An Early-Onset Subgroup of Type 2 Diabetes: A Multigenerational, Prospective Analysis in the Framingham Heart Study.

Authors:  Justin B Echouffo-Tcheugui; Teemu J Niiranen; Elizabeth L McCabe; Mir Henglin; Mohit Jain; Ramachandran S Vasan; Martin G Larson; Susan Cheng
Journal:  Diabetes Care       Date:  2020-10-08       Impact factor: 19.112

3.  Diabetes Treatment, Control, and Hospitalization Among Adults Aged 18 to 44 in Minnesota, 2013-2015.

Authors:  Emily Styles; Renée S M Kidney; Caroline Carlin; Kevin Peterson
Journal:  Prev Chronic Dis       Date:  2018-11-21       Impact factor: 2.830

4.  Diabetic polyneuropathy and pain, prevalence, and patient characteristics: a cross-sectional questionnaire study of 5,514 patients with recently diagnosed type 2 diabetes.

Authors:  Sandra Sif Gylfadottir; Diana Hedevang Christensen; Sia Kromann Nicolaisen; Henning Andersen; Brian Christopher Callaghan; Mustapha Itani; Karolina Snopek Khan; Alexander Gramm Kristensen; Jens Steen Nielsen; Søren Hein Sindrup; Niels Trolle Andersen; Troels Staehelin Jensen; Reimar Wernich Thomsen; Nanna Brix Finnerup
Journal:  Pain       Date:  2020-03       Impact factor: 7.926

5.  Identification of Important Factors Affecting Use of Digital Individualised Coaching and Treatment of Type 2 Diabetes in General Practice: A Qualitative Feasibility Study.

Authors:  Pernille Ravn Jakobsen; Jeanette Reffstrup Christensen; Jesper Bo Nielsen; Jens Søndergaard; Dorte Ejg Jarbøl; Michael Hecht Olsen; Jens Steen Nielsen; Jette Kolding Kristensen; Carl J Brandt
Journal:  Int J Environ Res Public Health       Date:  2021-04-08       Impact factor: 3.390

6.  Interaction between a diabetes-related methylation site (TXNIP cg19693031) and variant (GLUT1 rs841853) on fasting blood glucose levels among non-diabetics.

Authors:  Hao-Hung Tsai; Chao-Yu Shen; Chien-Chang Ho; Shu-Yi Hsu; Disline Manli Tantoh; Oswald Ndi Nfor; Shin-Lin Chiu; Ying-Hsiang Chou; Yung-Po Liaw
Journal:  J Transl Med       Date:  2022-02-14       Impact factor: 5.531

7.  Childhood food insufficiency and adulthood cardiometabolic health conditions among a population-based sample of older adults in Puerto Rico.

Authors:  Amanda C McClain; Hannah Cory; Josiemer Mattei
Journal:  SSM Popul Health       Date:  2022-03-12

8.  Epidemiology of Type 2 Diabetes - Global Burden of Disease and Forecasted Trends.

Authors:  Moien Abdul Basith Khan; Muhammad Jawad Hashim; Jeffrey Kwan King; Romona Devi Govender; Halla Mustafa; Juma Al Kaabi
Journal:  J Epidemiol Glob Health       Date:  2020-03

9.  Poor Control of Blood Glucose, Lifestyle, and Cardiometabolic Parameters in Younger Adult Patients with Type 2 Diabetes Mellitus.

Authors:  Ga Eun Nam; Byoungduck Han; Chae Lin Joo; Seo Young Kang; Jisun Lim; Yang-Hyun Kim; Hye Soon Park
Journal:  J Clin Med       Date:  2019-09-06       Impact factor: 4.241

10.  The effect of comorbidities on glycemic control among Colombian adults with diabetes mellitus: a longitudinal approach with real-world data.

Authors:  Manuel Urina-Jassir; Lina Johana Herrera-Parra; Juliana Alexandra Hernández Vargas; Ana María Valbuena-García; Lizbeth Acuña-Merchán; Miguel Urina-Triana
Journal:  BMC Endocr Disord       Date:  2021-06-26       Impact factor: 2.763

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