Do body mass index trajectories affect the risk of type 2 diabetes? A case–control study

Mano, Yoshihiko; Yokomichi, Hiroshi; Suzuki, Kohta; Takahashi, Atsunori; Yoda, Yoshioki; Tsuji, Masahiro; Sato, Mitsuaki; Shinohara, Ryoji; Mizorogi, Sonoko; Mochizuki, M.; Yamagata, Zentaro

doi:10.1186/s12889-015-2073-y

Cited by 9 publications

(7 citation statements)

References 26 publications

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“…Higher insulin secretion and lower insulin sensitivity was reported in obese than leanT2DM patients (Sone et al 2003). In the male and female patients with T2DM, significantly higher BMI is observed in the present study as against the gender specific controls, which is in contrast to the study in which no significant difference was observed in Japan (Mano et al 2015). Weight gain and consequent increase in BMI and obesity in patients with T2DM may be due to aging associated increase in fat mass, decreased physical activity, poor diet, usage of antidiabetic drugs such as sulphonylurea, thiazolidinediones and insulin and weight loss was shown to improve glycemic control (Daousi et al 2006;Hills et al 2010;Kamath et al 2011).…”

Section: Type 2 Diabetescontrasting

confidence: 99%

Analysis of Modal Choice of Residents in Lagos State

Olatoye¹

2019

JHE

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We investigated the role of Body mass index (BMI) in non-communicable diseases-polycystic ovary syndrome (PCOS), type 2 diabetes (T2DM) and coronary artery disease (CAD). Using a case control design, we compared mean BMI and its categories, in gender and disease specific samples, and computed odds ratios as well as receiver operator characteristic (ROC) curve. The 95 percentile cut off values were also determined but only for controls. We found mean BMI and prevalence of obesity to be higher in PCOS and T2DM and lower in CAD cases than controls. The ROC analysis suggested gender specific cut-off values are more sensitive than pooled sample. The area under the ROC curve which is highly significant suggests predictive utility of the BMI cut off values both for PCOS and T2DM.

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Section: Type 2 Diabetescontrasting

confidence: 99%

Analysis of Modal Choice of Residents in Lagos State

Olatoye¹

2019

JHE

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“…Previous studies, including the Bogalusa Heart Study, have indicated that glucose and insulin levels during adolescence are mediated by these factors, independent of adiposity [23–25]. The findings from this and previous studies suggest that adolescence is a critical temporal window for BMI control to reduce the risk of adult hyperglycaemia [11, 13–16, 26–29]. …”

Section: Discussionsupporting

confidence: 50%

Trajectories of childhood BMI and adult diabetes: the Bogalusa Heart Study

Zhang

et al. 2018

Diabetologia

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Aims/hypothesis The aim of this study was to characterise longitudinal profiles of BMI from childhood and to examine the impact of level-independent childhood BMI trajectories on adult type 2 diabetes. Methods The longitudinal cohort consisted of 2449 adults (1613 white and 836 black) who had their BMI measured between four and 15 times from childhood (4–19 years) to adulthood (20–51 years) and fasting glucose measured in adulthood. Model-estimated levels and linear slopes of BMI at childhood age points were calculated in 1-year intervals using growth-curve parameters and their first derivatives, respectively. Results BMI from childhood to adulthood fit cubic growth curves; linear and non-linear curve parameters differed significantly between race–sex groups. BMI showed race and sex differences from 15 years onwards. Individuals with hyperglycaemia had higher long-term BMI levels than those who were normoglycaemic in race–sex groups. Linear and non-linear slope parameters of BMI differed consistently and significantly between adult hyperglycaemia groups. The OR of childhood BMI levels for ages 4–19 years was 1.45–1.83 (p<0.001 for all) for adult hyperglycaemia after adjustment for confounders. Level-adjusted linear slopes of BMI at ages 10–19 years showed significantly positive associations with adult hyperglycaemia (OR 1.17–1.50, p<0.01 for all). The associations of childhood BMI linear slopes with adult hyperglycaemia were not significant during the age period 5–9 years. The trends in these associations were consistent across race–sex groups. Conclusions/interpretation These observations indicate that childhood BMI trajectories have a significant impact on adult diabetes, independent of BMI levels. The adolescence age period is a crucial window for the development of diabetes in later life, which has implications for early-life prevention. Data availability All data and materials are publicly available at the National Heart, Lung, and Blood Institute (NHLBI) Biologic Specimen and Data Repository and can be accessed at https://biolincc.nhlbi.nih.gov/studies/bhs.

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“…A few previous studies have investigated associations between BMI trajectories and diabetes incidence [23][24][25][26], diabetes-related metabolic markers, or inflammatory markers [27][28][29][30]. Findings from these studies indicate that risks for diabetes incidence, diabetes-related metabolic markers (i.e.…”

Section: Discussionmentioning

confidence: 99%

Age of obesity onset, cumulative obesity exposure over early adulthood and risk of type 2 diabetes

et al. 2019

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Aims/hypothesis Obesity is a risk factor for type 2 diabetes, yet little is known about how timing and cumulative exposure of obesity are related to disease risk. The aim of this study was to examine the associations between BMI trajectories, age of onset of obesity and obese-years (a product of degree and duration of obesity) over early adulthood and subsequent risk of type 2 diabetes. Methods Women aged 18-23 years at baseline (n = 11,192) enrolled in the Australian Longitudinal Study on Women's Health (ALSWH) in 1996 were followed up about every 3 years via surveys for up to 19 years. Self-reported weights were collected up to seven times. Incident type 2 diabetes was self-reported. A growth mixture model was used to identify distinct BMI trajectories over the early adult life course. Cox proportional hazards regression models were used to examine the associations between trajectories and risk of diabetes. Results One hundred and sixty-two (1.5%) women were newly diagnosed with type 2 diabetes during a mean of 16 years of follow-up. Six distinct BMI trajectories were identified, varying by different initial BMI and different slopes of increase. Initial BMI was positively associated with risk of diabetes. We also observed that age at onset of obesity was negatively associated with risk of diabetes (HR 0.87 [95% CI 0.79, 0.96] per 1 year increment), and number of obese-years was positively associated with diabetes (p for trend <0.0001). Conclusions/interpretation Our data revealed the importance of timing of obesity, and cumulative exposure to obesity in the development of type 2 diabetes in young women, suggesting that preventing or delaying the onset of obesity and reducing cumulative exposure to obesity may substantially lower the risk of developing diabetes.

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Do body mass index trajectories affect the risk of type 2 diabetes? A case–control study

Cited by 9 publications

References 26 publications

Analysis of Modal Choice of Residents in Lagos State

Analysis of Modal Choice of Residents in Lagos State

Trajectories of childhood BMI and adult diabetes: the Bogalusa Heart Study

Age of obesity onset, cumulative obesity exposure over early adulthood and risk of type 2 diabetes

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