Trajectories of BMI Before Diagnosis of Type 2 Diabetes: The Rotterdam Study.
Journal
Obesity (Silver Spring, Md.)
ISSN: 1930-739X
Titre abrégé: Obesity (Silver Spring)
Pays: United States
ID NLM: 101264860
Informations de publication
Date de publication:
06 2020
06 2020
Historique:
received:
09
08
2019
revised:
22
02
2020
accepted:
05
03
2020
pubmed:
8
5
2020
medline:
9
9
2020
entrez:
8
5
2020
Statut:
ppublish
Résumé
People with diabetes show great variability in weight gain and duration of obesity at the time of diagnosis. BMI trajectories and other cardiometabolic risk factors prior to type 2 diabetes were investigated. A total of 6,223 participants from the Rotterdam Study cohort were included. BMI patterns before diagnosis of diabetes were identified through latent class trajectories. During a mean follow-up of 13.7 years, 565 participants developed type 2 diabetes. Three distinct trajectories of BMI were identified, including the "progressive overweight" group (n = 481, 85.1%), "progressive weight loss" group (n = 59, 10.4%), and "persistently high BMI" group (n = 25, 4.4%). The majority, the progressive overweight group, was characterized by a steady increase of BMI in the overweight range 10 years before diabetes diagnosis. The progressive weight loss group had fluctuations of glucose and marked beta cell function loss. The persistently high BMI group was characterized by a slight increase in insulin levels and sharp increase of insulin resistance accompanied by a rapid decrease of beta cell function. Heterogeneity of BMI changes prior to type 2 diabetes was found in a middle-aged and elderly white population. Prevention strategies should be tailored rather than focusing only on high-risk individuals.
Identifiants
pubmed: 32379398
doi: 10.1002/oby.22802
pmc: PMC7317538
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1149-1156Informations de copyright
© 2020 The Authors. Obesity published by Wiley Periodicals LLC on behalf of The Obesity Society (TOS).
Références
Arch Intern Med. 2007 May 28;167(10):1068-74
pubmed: 17533210
Gerontologist. 2014 Apr;54(2):221-31
pubmed: 23355450
Am J Epidemiol. 1995 Jun 15;141(12):1117-27
pubmed: 7771450
Stat Med. 2007 May 10;26(10):2229-45
pubmed: 16900568
Eur J Epidemiol. 2012 Mar;27(3):173-85
pubmed: 22388767
Obes Res. 2005 Nov;13(11):1849-63
pubmed: 16339115
PLoS Med. 2014 Apr 29;11(4):e1001634
pubmed: 24781247
Lancet. 2016 Apr 2;387(10026):1377-1396
pubmed: 27115820
Ann Intern Med. 2012 Mar 20;156(6):438-44
pubmed: 22431676
J Am Coll Cardiol. 2014 Jul 1;63(25 Pt B):2935-2959
pubmed: 24239921
Heart. 2015 Mar;101(5):377-83
pubmed: 25502814
Diabetologia. 2010 Jan;53(1):70-8
pubmed: 19898830
Diabetologia. 1985 Jul;28(7):412-9
pubmed: 3899825
JAMA. 2005 Apr 20;293(15):1861-7
pubmed: 15840860
Circulation. 2008 Feb 12;117(6):743-53
pubmed: 18212285
EBioMedicine. 2018 Apr;30:295-302
pubmed: 29631902
Am J Epidemiol. 1997 Aug 1;146(3):214-22
pubmed: 9247005
Am Fam Physician. 2014 May 1;89(9):718-22
pubmed: 24784334
Eur J Epidemiol. 2016 Jun;31(6):583-92
pubmed: 26955830
Lancet. 2016 Apr 9;387(10027):1513-1530
pubmed: 27061677
Diabetes. 1995 Mar;44(3):261-6
pubmed: 7883111
J Aging Health. 2015 Dec;27(8):1443-61
pubmed: 25953813
Ann Intern Med. 2012 Sep 18;157(6):389-97
pubmed: 22986376
Arch Intern Med. 2011 Aug 8;171(15):1352-60
pubmed: 21824948
PLoS Med. 2016 Jul 19;13(7):e1002086
pubmed: 27433939
Arch Intern Med. 1999 May 10;159(9):957-63
pubmed: 10326937
Eur J Epidemiol. 2015 Aug;30(8):661-708
pubmed: 26386597
Nutr Metab Cardiovasc Dis. 2018 Mar;28(3):243-251
pubmed: 29361342
PLoS Med. 2014 Feb 11;11(2):e1001602
pubmed: 24523667
Medicine (Baltimore). 2016 Dec;95(49):e5608
pubmed: 27930587