Sleep apnoea and incident malignancy in type 2 diabetes

BackgroundSleep apnoea (SA) and type 2 diabetes (T2D) have been linked to malignancy. The aim of the present study was to evaluate the association between SA and incidence of malignancy in patients with T2D.MethodsThe DIACORE (DIAbetes COhoRtE) study is a prospective, population-based cohort study in T2D patients. In the SDB (sleep-disordered breathing) sub-study, the apnoea-hypopnoea index (AHI), oxygen desaturation index (ODI) and percentage of night-time spent below a peripheral oxygen saturation of 90% (TSat90%) were assessed using a two-channel ambulatory monitoring device. Malignancy diagnoses were gathered using self-reported medical history data validated by medical records. Hazard ratios (HR) for incident malignancy were derived by Cox regression adjusting for sex, age, body-mass index, smoking status, alcohol intake, socioeconomic status and HbA1c.ResultsOf 1239 patients with T2D (mean age 67 years, 41% female, mean body-mass index 30.9 kg m−2), 79 (6.4%) were first-time diagnosed with a malignancy within a median follow-up period of 2.7 (interquartile range 2.2; 4.5) years. AHI, ODI and TSat90% were not associated with incident malignancy. In subgroup analysis, women showed increased cancer risk per AHI unit (adjusted HR 1.03 per AHI unit, 95% CI [1.00–1.06], p=0.028) and severe SA (defined as AHI≥30 h−1; adjusted HR 4.19, 95% CI [1.39–12.77], p=0.012). This was not seen in men, and a significant interaction was observed (interaction terms, p=0.048, p=0.033, respectively).ConclusionSA was not associated with incident malignancy in T2D patients. However, stratified analysis revealed a significant association between SA and incident malignancy in women, but not in men.

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Abstract P253: Body Mass Index and Heart Failure among Patients with Type 2 Diabetes

Circulation ◽

10.1161/circ.131.suppl_1.p253 ◽

2015 ◽

Vol 131 (suppl_1) ◽

Author(s):

Gang Hu ◽

Peter Katzmarzyk ◽

Ronald Horswell ◽

Yujie Wang ◽

Jolene Johnson ◽

...

Keyword(s):

Heart Failure ◽

Type 2 Diabetes ◽

Body Mass Index ◽

Body Mass ◽

Reference Group ◽

Smoking Status ◽

Positive Association ◽

University Hospital ◽

Diabetic Patients

Background: Epidemiologic data on the association between body mass index (BMI) and heart failure (HF) risk among diabetic patients is rare. Aim: To investigate the association between BMI and HF risk among patients with type 2 diabetic in the Louisiana State University Hospital-based Longitudinal study (LSUHLS). Methods: We performed a prospective cohort study of risk for HF among 31,155 patients of type 2 diabetes (11,468 men and 19,687 women). Cox proportional hazards regression models were used to estimate the association of different levels of BMI with HF risk. Results: During a mean follow-up of 7.8 years, 5,834 subjects developed HF (2,379 men and 3,455 women). The multivariable-adjusted (age, race, smoking, income and type of insurance) hazard ratios of HF associated with BMI levels (18.5-22.9, 23-24.9, 25-29.9 [reference group], 30-34.9, 35-39.9, and ≥40 kg/m2) at baseline were 0.95, 1.00, 1.00, 1.16, 1.64, and 2.02 (Ptrend <0.001) for men, and 1.16, 1.16, 1.00, 1.23, 1.55, and 2.01 (Pnon-linear <0.001) for women, respectively. When we used an updated mean value of BMI, the association of HF risk with BMI did not change. When stratified by age, race, smoking status and use of anti-diabetic drugs, the positive association among men and the J-shaped association among women were still present. Conclusions: Our study suggests a positive association between BMI and HF risk among men, and a J-shaped association between BMI and HF risk among women with type 2 diabetes.

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Associations between Dietary Polyphenols and Type 2 Diabetes in a Cross-Sectional Analysis of the PREDIMED-Plus Trial: Role of Body Mass Index and Sex

Antioxidants ◽

10.3390/antiox8110537 ◽

2019 ◽

Vol 8 (11) ◽

pp. 537 ◽

Cited By ~ 8

Author(s):

Anna Tresserra-Rimbau ◽

Sara Castro-Barquero ◽

Facundo Vitelli-Storelli ◽

Nerea Becerra-Tomas ◽

Zenaida Vázquez-Ruiz ◽

...

Keyword(s):

Type 2 Diabetes ◽

Body Mass Index ◽

Body Mass ◽

Cox Regression ◽

Overweight And Obesity ◽

Cross Sectional ◽

Dietary Polyphenols ◽

Cross Sectional Analysis ◽

Sectional Analysis

Overweight and obesity are important risk factors for type 2 diabetes (T2D). Moving towards healthier diets, namely, diets rich in bioactive compounds, could decrease the odds of suffering T2D. However, those individuals with high body mass index (BMI) may have altered absorption or metabolism of some nutrients and dietary components, including polyphenols. Therefore, we aimed to assess whether high intakes of some classes of polyphenols are associated with T2D in a population with metabolic syndrome and how these associations depend on BMI and sex. This baseline cross-sectional analysis includes 6633 participants from the PREDIMED-Plus trial. Polyphenol intakes were calculated from food frequency questionnaires (FFQ). Cox regression models with constant time at risk and robust variance estimators were used to estimate the prevalence ratios (PRs) for polyphenol intake and T2D prevalence using the lowest quartile as the reference group. Analyses were stratified by sex and BMI groups (overweight and obese) to evaluate potential effect modification. Catechins, proanthocyanidins, hydroxybenzoic acids, and lignans were inversely associated with T2D. Hydroxycinnamic acids were directly related in men. These associations were different depending on sex and BMI, that is, women and overweight obtained stronger inverse associations.

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Association between variability in body mass index and development of type 2 diabetes: Panasonic cohort study

BMJ Open Diabetes Research & Care ◽

10.1136/bmjdrc-2021-002123 ◽

2021 ◽

Vol 9 (1) ◽

pp. e002123

Author(s):

Hiroshi Okada ◽

Masahide Hamaguchi ◽

Momoko Habu ◽

Kazushiro Kurogi ◽

Hiroaki Murata ◽

...

Keyword(s):

Type 2 Diabetes ◽

Body Mass Index ◽

Body Weight ◽

Weight Gain ◽

Body Mass ◽

Cox Regression ◽

Body Weight Gain ◽

Design And Methods ◽

Fourth Quartile

IntroductionContrasting results have been reported for the association between the variability in body weight and development of diabetes. In the present study, we evaluated the association between the variability in body mass index (BMI) and development of type 2 diabetes in 19 412 Japanese participants without obesity and without body weight gain or loss during the study period.Research design and methodsWe recorded body weight of the participants consecutively each year in Panasonic Corporation, Osaka, Japan from 2008 to 2014 to evaluate the variability of BMI. The participants with obesity (BMI ≥25 kg/m2) at baseline and body weight gain or loss from 2008 to 2014 (delta BMI ≥±1 kg/m2) were excluded from the study. In total, 416 participants developed type 2 diabetes from 2015 to 2018. We used coefficient of variation (CV) to represent the variability in BMI during 6 years of the study period.ResultsCox regression analyses revealed that the risk of developing type 2 diabetes was higher in the fourth quartile (HR 1.33; 95% CI 1.01 to 1.75) of CV of BMI than that in the first quartile (lowest quartile) of CV of BMI after adjusting for multiple confounding factors. The risk for developing diabetes increased by 11.1% per 1% increase in CV of BMI.ConclusionsIn conclusion, the variability in BMI is a risk factor for the development of diabetes in the Japanese population without obesity and without body weight gain or loss.

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