Influence of obesity on blood glucose control using continuous glucose monitoring data among patients with type 1 diabetes

被引:0
作者
Nicolau, Joana [1 ]
Romano, Andrea [1 ]
Rodriguez, Irene [1 ]
Sanchis, Pilar [1 ]
Puga, Maria [1 ]
Masmiquel, Lluis [1 ]
机构
[1] Hosp Son Llatzer, Inst Invest Sanitaria Illes Balears IdISBa, Dept Endocrinol & Nutr, Ctra Manacor Km 4, Palma De Mallorca 07198, Baleares, Spain
来源
ENDOCRINOLOGIA DIABETES Y NUTRICION | 2024年 / 71卷 / 05期
关键词
Type; 1; diabetes; Overweight; Obesity; Continuous glucose monitoring; BODY-MASS INDEX; OVERWEIGHT; CHILDHOOD; DISEASE; CANCER;
D O I
暂无
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Introduction: The global increase in the prevalence rates of overweight or obesity has also affected patients with type 1 diabetes (T1D), where this disease had traditionally been associated with a lean phenotype. On the other hand, the effect of obesity on new glycemic control metrics obtained from continuous glucose monitoring (CGM) in T1D is poorly understood. We wanted to assess whether there is any relationship between BMI (body mass index) and the different CGM metrics or HbA1c. Methods: Two hundred and twenty-five patients with T1D (47.1% female, mean age 42.9 +/- 14.7 years) with a CGM for a minimum of 6 months were analysed by downloading their CGM and collecting clinical and anthropometric variables. Results: 35.1% (79/225) of the T1D patients had overweight and 17.3% (39/225) lived with obesity, while the remaining 47.6% had a normal weight. A negative correlation was found between GMI (glucose management indicator) and BMI (-0.2; p = 0.008) and HbA1c (-0.2; p = 0.01). In contrast, a positive correlation was observed between the total dose of insulin and the BMI (0.3; p < 0.0001). No significant correlations were found between BMI and other CGM metrics. Conclusions: Overweight or obesity do not imply worse glycemic control in patients with T1D or less use of CGM. Possibly, and in order to achieve a good glycemic control, more units of insulin are necessary in these patients which, in turn, makes weight control more difficult. (c) 2024 SEEN y SED. Published by Elsevier Espana, S.L.U. All rights reserved.
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页码:202 / 207
页数:6
相关论文
共 26 条
  • [1] Association between Body Mass Index and Core Components of Metabolic Syndrome in 1486 Patients with Type 1 Diabetes Mellitus in Japan (JDDM 13)
    Arai, Keiko
    Yokoyama, Hiroki
    Okuguchi, Fuminobu
    Yamazaki, Katsuya
    Takagi, Hirofumi
    Hirao, Koici
    Kobayashi, Masashi
    [J]. ENDOCRINE JOURNAL, 2008, 55 (06) : 1025 - 1032
  • [2] Global burden of cancer attributable to high body-mass index in 2012: a population-based study
    Arnold, Melina
    Pandeya, Nirmala
    Byrnes, Graham
    Renehan, Andrew G.
    Stevens, Gretchen A.
    Ezzati, Majid
    Ferlay, Jacques
    Miranda, J. Jaime
    Romieu, Isabelle
    Dikshit, Rajesh
    Forman, David
    Soerjomataram, Isabelle
    [J]. LANCET ONCOLOGY, 2015, 16 (01) : 36 - 46
  • [3] Clinical Targets for Continuous Glucose Monitoring Data Interpretation: Recommendations From the International Consensus on Time in Range
    Battelino, Tadej
    Danne, Thomas
    Bergenstal, Richard M.
    Amiel, Stephanie A.
    Beck, Roy
    Biester, Torben
    Bosi, Emanuele
    Buckingham, Bruce A.
    Cefalu, William T.
    Close, Kelly L.
    Cobelli, Claudio
    Dassau, Eyal
    DeVries, J. Hans
    Donaghue, Kim C.
    Dovc, Klemen
    Doyle, Francis J.
    Garg, Satish
    Grunberger, George
    Heller, Simon
    Heinemann, Lutz
    Hirsch, Irl B.
    Hovorka, Roman
    Jia, Weiping
    Kordonouri, Olga
    Kovatchev, Boris
    Kowalski, Aaron
    Laffel, Lori
    Levine, Brian
    Mayorov, Alexander
    Mathieu, Chantal
    Murphy, Helen R.
    Nimri, Revital
    Norgaard, Kirsten
    Parkin, Christopher G.
    Renard, Eric
    Rodbard, David
    Saboo, Banshi
    Schatz, Desmond
    Stoner, Keaton
    Urakami, Tatsuiko
    Weinzimer, Stuart A.
    Phillip, Moshe
    [J]. DIABETES CARE, 2019, 42 (08) : 1593 - 1603
  • [4] Weight gain trajectories and obesity rates in intensive and conventional treatments of type 1 diabetes from the DCCT compared with a control population without diabetes
    Carlson, Nichole E.
    Horton, Ken W.
    Hokanson, John E.
    Cleary, Patricia A.
    Jacobs, David R., Jr.
    Brunzell, John D.
    Purnell, Jonathan Q.
    [J]. DIABETIC MEDICINE, 2022, 39 (05)
  • [5] Temporal patterns in overweight and obesity in Type 1 diabetes
    Conway, B.
    Miller, R. G.
    Costacou, T.
    Fried, L.
    Kelsey, S.
    Evans, R. W.
    Orchard, T. J.
    [J]. DIABETIC MEDICINE, 2010, 27 (04) : 398 - 404
  • [6] Obesity in Type 1 Diabetes: Pathophysiology, Clinical Impact, and Mechanisms
    Corbin, Karen D.
    Driscoll, Kimberly A.
    Pratley, Richard E.
    Smith, Steven R.
    Maahs, David M.
    Mayer-Davis, Elizabeth J.
    [J]. ENDOCRINE REVIEWS, 2018, 39 (05) : 629 - 663
  • [7] Body Mass Index and Mortality in Individuals With Type 1 Diabetes
    Dahlstrom, Emma H.
    Sandholm, Niina
    Forsblom, Carol M.
    Thorn, Lena M.
    Jansson, Fanny J.
    Harjutsalo, Valma
    Groop, Per-Henrik
    [J]. JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM, 2019, 104 (11) : 5192 - 5201
  • [8] diabetesatlas, US
  • [9] BMI, Mortality, and Cardiovascular Outcomes in Type 1 Diabetes: Findings Against an Obesity Paradox
    Edqvist, Jon
    Rawshani, Araz
    Adiels, Martin
    Bjorck, Lena
    Lind, Marcus
    Svensson, Ann-Marie
    Gudbjornsdottir, Sofia
    Sattar, Naveed
    Rosengren, Annika
    [J]. DIABETES CARE, 2019, 42 (07) : 1297 - 1304
  • [10] State of Type 1 Diabetes Management and Outcomes from the T1D Exchange in 2016-2018
    Foster, Nicole C.
    Beck, Roy W.
    Miller, Kellee M.
    Clements, Mark A.
    Rickels, Michael R.
    DiMeglio, Linda A.
    Maahs, David M.
    Tamborlane, William V.
    Bergenstal, Richard
    Smith, Elizabeth
    Olson, Beth A.
    Garg, Satish K.
    [J]. DIABETES TECHNOLOGY & THERAPEUTICS, 2019, 21 (02) : 66 - 72