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      Type 2 Diabetes Mellitus in Class II and III Obesity: Prevalence, Associated Factors, and Correlation between Glycemic Parameters and Body Mass Index

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          Abstract

          Despite the worldwide growth of class II and III obesity, the factors associated with type 2 diabetes mellitus (T2DM) in these obese individuals are not widely understood. Moreover, no study has investigated these associations in South America. Our study aimed to investigate the prevalence of T2DM and its associated factors, with an emphasis on biochemical parameters and eating habits, in class II and III obese individuals. We also aimed to analyze the correlation between glycemic parameters and body mass index (BMI). Baseline data from a randomized clinical trial (DieTBra Trial) of 150 class II and III obese individuals (BMI > 35 kg/m 2) was used. An accelerometer, Food Frequency Questionnaire, and bioimpedance analysis were used to assess physical activity levels, eating habits, and body composition, respectively. Blood was collected after 12 h of fasting. Hierarchical multivariate Poisson regression was performed, and prevalence ratios (PRs) were calculated. Correlations between glycemic parameters (fasting blood glucose, glycosylated hemoglobin, homeostasis model assessment of insulin resistance (HOMA-IR), and insulin) and BMI were also analyzed. The prevalence of T2DM was 40.0% (95% CI, 32.1–48.3), high fasting blood glucose level was 19.33% (95% CI, 13.3–26.6), and high glycosylated hemoglobin was 32.67% (95% CI, 25.2–40.8). Age ≥ 50 years (PR = 3.17, 95% CI, 1.26–7.98) was significantly associated with T2DM; there was a positive linear trend between age and T2DM ( p = 0.011). Multivariate analysis showed an association with educational level (PR = 1.49, 1.07–2.09, p = 0.018), nonconsumption of whole grains daily (PR = 1.67, 1.00–2.80, p = 0.049), and high HOMA-IR (PR = 1.54, 1.08–2.18, p = 0.016). We found a high prevalence of T2DM and no significant correlations between BMI and glycemic parameters.

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          Trends in adult body-mass index in 200 countries from 1975 to 2014: a pooled analysis of 1698 population-based measurement studies with 19·2 million participants

          Summary Background Underweight and severe and morbid obesity are associated with highly elevated risks of adverse health outcomes. We estimated trends in mean body-mass index (BMI), which characterises its population distribution, and in the prevalences of a complete set of BMI categories for adults in all countries. Methods We analysed, with use of a consistent protocol, population-based studies that had measured height and weight in adults aged 18 years and older. We applied a Bayesian hierarchical model to these data to estimate trends from 1975 to 2014 in mean BMI and in the prevalences of BMI categories (<18·5 kg/m2 [underweight], 18·5 kg/m2 to <20 kg/m2, 20 kg/m2 to <25 kg/m2, 25 kg/m2 to <30 kg/m2, 30 kg/m2 to <35 kg/m2, 35 kg/m2 to <40 kg/m2, ≥40 kg/m2 [morbid obesity]), by sex in 200 countries and territories, organised in 21 regions. We calculated the posterior probability of meeting the target of halting by 2025 the rise in obesity at its 2010 levels, if post-2000 trends continue. Findings We used 1698 population-based data sources, with more than 19·2 million adult participants (9·9 million men and 9·3 million women) in 186 of 200 countries for which estimates were made. Global age-standardised mean BMI increased from 21·7 kg/m2 (95% credible interval 21·3–22·1) in 1975 to 24·2 kg/m2 (24·0–24·4) in 2014 in men, and from 22·1 kg/m2 (21·7–22·5) in 1975 to 24·4 kg/m2 (24·2–24·6) in 2014 in women. Regional mean BMIs in 2014 for men ranged from 21·4 kg/m2 in central Africa and south Asia to 29·2 kg/m2 (28·6–29·8) in Polynesia and Micronesia; for women the range was from 21·8 kg/m2 (21·4–22·3) in south Asia to 32·2 kg/m2 (31·5–32·8) in Polynesia and Micronesia. Over these four decades, age-standardised global prevalence of underweight decreased from 13·8% (10·5–17·4) to 8·8% (7·4–10·3) in men and from 14·6% (11·6–17·9) to 9·7% (8·3–11·1) in women. South Asia had the highest prevalence of underweight in 2014, 23·4% (17·8–29·2) in men and 24·0% (18·9–29·3) in women. Age-standardised prevalence of obesity increased from 3·2% (2·4–4·1) in 1975 to 10·8% (9·7–12·0) in 2014 in men, and from 6·4% (5·1–7·8) to 14·9% (13·6–16·1) in women. 2·3% (2·0–2·7) of the world’s men and 5·0% (4·4–5·6) of women were severely obese (ie, have BMI ≥35 kg/m2). Globally, prevalence of morbid obesity was 0·64% (0·46–0·86) in men and 1·6% (1·3–1·9) in women. Interpretation If post-2000 trends continue, the probability of meeting the global obesity target is virtually zero. Rather, if these trends continue, by 2025, global obesity prevalence will reach 18% in men and surpass 21% in women; severe obesity will surpass 6% in men and 9% in women. Nonetheless, underweight remains prevalent in the world’s poorest regions, especially in south Asia. Funding Wellcome Trust, Grand Challenges Canada.
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            Atualização da Diretriz Brasileira de Dislipidemias e Prevenção da Aterosclerose – 2017

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              Obesity and Type 2 Diabetes: Two Diseases with a Need for Combined Treatment Strategies - EASO Can Lead the Way

              Obesity is a chronic metabolic disease affecting adults and children worldwide. It has become one of the leading causes of death, as obesity is known to be the main risk factor for a number of non-communicable diseases, in particular type 2 diabetes. This close relationship led to the connotation ‘diabesity', highlighting the fact that the majority of individuals with diabetes are overweight or obese. Until today the BMI is still used to classify overweight and obesity. Since reduced muscle mass is highly prevalent throughout the BMI range, the measurement of body composition is strongly recommended. Moreover, it is essential for monitoring the course of weight reduction, which is part of every effective anti-obesity treatment. Weight reduction can be achieved via different weight loss strategies, including lifestyle intervention (diet and exercise), pharmacotherapy, or bariatric surgery. However, not all of these strategies are suitable for all patients, and any further needs should be considered. Besides, attention should also be drawn to concomitant therapies. These therapies may promote additional weight gain and further trigger the deterioration of blood glucose control. Thus, therapeutic strategies are warranted, which can be easily used for the management of obese patients with type 2 diabetes to achieve their glycemic and weight loss goals.
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                Author and article information

                Journal
                Int J Environ Res Public Health
                Int J Environ Res Public Health
                ijerph
                International Journal of Environmental Research and Public Health
                MDPI
                1661-7827
                1660-4601
                02 June 2020
                June 2020
                : 17
                : 11
                : 3930
                Affiliations
                [1 ]Post-Graduate Program in Health Sciences, School of Medicine, Federal University of Goiás, Goiás 74605-050, Brazil; lorenapsrosa@ 123456yahoo.com.br (L.P.d.S.R.); annelisanut@ 123456gmail.com (A.S.e.A.d.C.S.); camilacardoso_nut@ 123456hotmail.com (C.K.d.S.C.); matiasnoll@ 123456yahoo.com.br (M.N.)
                [2 ]Federal Institute of Goiás, Goiânia Oeste Campus, Goiás 74270-040, Brazil
                [3 ]United College of Campinas, Goiás 74535-040, Brazil
                [4 ]Nutrition Course, School of Social and Health Sciences, Pontifical Catholic University of Goiás, Goiás 74605-010, Brazil
                [5 ]Instituto Federal Goiano, Ceres Campus, Goiás 76310-000, Brazil
                Author notes
                [* ]Correspondence: erikasil@ 123456terra.com.br
                Author information
                https://orcid.org/0000-0002-8839-4520
                https://orcid.org/0000-0003-4937-4284
                https://orcid.org/0000-0003-0045-6991
                https://orcid.org/0000-0002-1246-5572
                https://orcid.org/0000-0002-1482-0718
                Article
                ijerph-17-03930
                10.3390/ijerph17113930
                7312992
                32498226
                0dff15a7-e8ce-481e-8173-5bd1b0ec4837
                © 2020 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 19 April 2020
                : 27 May 2020
                Categories
                Article

                Public health
                severe obesity,diabetes,insulin resistance,food consumption,whole grains,homa-ir
                Public health
                severe obesity, diabetes, insulin resistance, food consumption, whole grains, homa-ir

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