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

A systematic review of the major risk factors for type two diabetes among Aboriginal Australians

BACKGROUND

To investigate the sociodemographic, anthropometric, biochemical, lifestyle and cardiometabolic risk factors associated with type 2 diabetes (T2D) among First Nations Australians.

METHODS

A systematic review of prospective cohorts and cross-sectional studies was conducted. Electronic data sources (MEDLINE/PubMed, Embase, CINHAL, and PsycINFO) were searched for peer-reviewed articles until August 2023. We reviewed observational and interventional studies on T2D that reported sociodemographic, anthropometric, lifestyle, and biochemical risk factors for Australian First Nations people. Narrative synthesis was applied without meta-analysis. We highlighted the major risk factors for T2D by reporting the most significant findings from individual studies in the results. The review followed PRISMA guidelines.

RESULTS

The review included 20 eligible studies: 12 cross-sectional studies and 8 prospective cohort studies. The findings from these studies showed that First Nations people who resided in very remote areas (Modified Monash Category 7; MM7) (OR = 1.61; 95% CI: 1.03, 2.52), living adjacent to food store stocking "Western" food items (OR = 2.92; 95% CI: 1.51, 5.63), rented their home (OR = 2.07; 95% CI: 1.30, 3.30) and part-time employment (OR = 2.47; 95% CI: 1.54, 3.95) were associated with a statistically higher risk of developing T2D. First Nations people who had obesity class 1 (BMI > 30 kg/m2), central obesity (WC > 88 cm in women; >102 cm in men), and higher waist-to-hip ratio (WHR) (≥ 1.0 in men and 0.85 in women) were more likely to have T2D. First Nations people with elevated triglycerides (≥ 1.7 mmol/L) (OR = 4.9; 95% CI: 2.7, 8.8), one standard deviation (SD) increase in C-reactive protein (CRP) value (AHR = 1.23; 95% CI: 1.05, 1.45) and lower levels of vitamin D (< 53 nmol/L) (AOR = 2.15; 95% CI: 1.10, 2.18) were significantly associated with a higher risk of T2D. However, no significant association was found with either daily smoking or daily alcohol.

CONCLUSION

To address the First Nations Health Gap attributed to T2D in Australia, interventions should prioritise remote areas, socioeconomic disadvantage, central obesity, elevated triglycerides, and vitamin D deficiency. This was the first comprehensive systematic review examining sociodemographic, anthropometric, biochemical, lifestyle, and cardiometabolic risk factors associated with T2D among First Nations Australians.

Association of variabilities in body mass index and metabolic parameters with post-kidney transplantation renal outcomes

Metabolic syndrome is a significant risk factor for poor graft outcomes in kidney transplant (KT) patients. However, the effects of variability in metabolic parameters on graft outcomes in KT patients have not been completely elucidated. A total of 852 KT patients were included from the Korean Organ Transplantation Registry. The study exposure was variability in body mass index (BMI) or other metabolic parameters measured at 6 months, 1 year, and 2 years after KT. Patients were classified into tertiles according to the degree of variability. The primary outcome was a composite of adverse kidney outcomes, such as death-censored graft loss or ≥ 30% decline in estimated glomerular filtration rate. The adverse kidney outcomes occurred in 73 (8.6%) participants. The high-BMI variability group had a higher risk for adverse kidney outcomes compared to the low-variability group. High variabilities in triglyceride, fasting blood glucose, and systolic blood pressure were also associated with adverse kidney outcomes. Furthermore, high variability in metabolic syndrome-related composite indices, such as the triglyceride and glucose index and metabolic variability scores, showed a higher risk for adverse kidney outcomes. In conclusion, high variability in metabolic parameters could be associated with an increased risk of adverse kidney outcome in KT patients.

Effects of nudge strategy-based dietary education intervention in patients with type 2 diabetes mellitus: A cluster randomized controlled trial

OBJECTIVES

We aimed to assess the clinical effects of dietary education intervention utilizing the nudge strategy in individuals with type 2 diabetes mellitus (T2DM).

BACKGROUND

The global prevalence of T2DM and its associated complications presents a significant health challenge. While the benefits of dietary education intervention for blood glucose management are widely acknowledged, patients often struggle to adhere to dietary recommendations. The implementation of the nudge strategy may offer a promising solution to change unhealthy dietary behavior and enhance diabetes control among individuals with T2DM.

METHODS

This is a sub-study within a broader cluster-randomized trial that evaluated the effects of nudge-based dietary education and traditional dietary education intervention. Measurements of HbA1c, fasting blood glucose (FBG), body mass index (BMI), blood lipid levels, blood pressure, dietary behavior, and diabetes distress were assessed at baseline and 3 months after the intervention in 147 individuals with T2DM from six primary care practices in Beijing, China.

RESULTS

All outcome measurements were complete at two time points for 134 participants. Results showed that compared to the control group, the intervention group achieved a significantly greater reduction in HbA1c, FBG, BMI, total cholesterol, low-density lipoprotein cholesterol, blood pressure, total energy intake, carbohydrate intake, fat intake, and protein intake and had lower diabetes distress. The intervention group also maintained HDL-C levels and had a significantly greater increase in vegetable intake, while changes in triglycerides were similar in the two groups.

CONCLUSION

The present study provides evidence that nudge strategy-based dietary education intervention is effective in improving blood glucose, BMI, blood lipid levels, and blood pressure and facilitating changes in patients' dietary behavior and diabetes distress. These findings suggest that implementing nudge strategies can contribute to the optimization of T2DM dietary management and overall patient well-being.

The association of body mass index variability with cardiovascular disease and mortality: a mediation analysis of pooled cohorts

Aim

We aimed to investigate the effect of BMI variability on CVD and mortality and to explore the mediation effects of the main cardiovascular risk factors contributing to this association.

Method

Participants aged 40-65 years were pooled from three cohort studies(ARIC [Atherosclerosis Risk in Communities], MESA [Multi-ethnic Study of Atherosclerosis], and TLGS [Tehran Lipid and Glucose Study]. We employed root mean squared error of the fractional mixed model to calculate BMI variability in the measurement period. In the event assessment period, the hazard ratios for CVD and mortality were estimated using Cox proportional hazard regression models. In the next step, the mediation and interaction effects of fasting plasma glucose, total cholesterol, and systolic blood pressure were determined.

Results

A total of 19073 participants were included in this pooled analysis. During a median of 20.7 years of follow-up, 3900 (20.44%) CVD and 6480 (33.97%) all-cause mortality events were recorded. After adjusting for potential confounders, BMI variability was linked to the 1.3 (1.2-1.4) and 1.7 (1.6-1.8) increased risk of CVD and mortality, respectively. Fasting plasma glucose mediated approximately 24% and 8% of the effect of BMI variability on CVD and mortality, respectively. However, systolic blood pressure and total cholesterol did not have mediation effects in this association.

Conclusion

High BMI variability is independently associated with the development of CVD and mortality. This association is partly mediated through fasting plasma glucose. Modern cardiometabolic therapies that lower fasting glucose may reduce the risk of future CVD and mortality in individuals with high BMI variability.

Estimated small dense low-density lipoprotein-cholesterol and incident type 2 diabetes in Japanese people: Population-based Panasonic cohort study 13

AIMS

This study aimed to investigate the association between estimated small dense low-density lipoprotein (sd-LDL) and incident type 2 diabetes.

METHODS

We analyzed the data from a health checkup under a program conducted by Panasonic Corporation between 2008 and 2018. A total of 120,613 participants were included, of whom 6,080 developed type 2 diabetes. Estimated large buoyant (lb)-LDL cholesterol and sd-LDL cholesterol was calculated by the formula using triglyceride and LDL cholesterol. Cox proportional hazard model and time-dependent receiver operating characteristic (ROC) analysis were used to evaluate the association between the lipid profiles and incident type 2 diabetes.

RESULTS

Multivariate analysis showed that LDL cholesterol, high-density lipoprotein (HDL) cholesterol, triglyceride, estimated large buoyant (lb)-LDL cholesterol, and estimated sd-LDL were associated with incident type 2 diabetes. Moreover, the area under the ROC curve and optimal cut-off values for estimated sd-LDL cholesterol for incident type 2 diabetes at 10 years were 0.676 and 35.9 mg/dL, respectively. The area under the curve of estimated sd-LDL cholesterol was higher than that of HDL cholesterol, LDL cholesterol, or estimated lb-LDL cholesterol.

CONCLUSION

The estimated sd-LDL cholesterol was an important predictor of future incidence of diabetes within 10 years.

Association between occupation type and development of type 2 diabetes: A population-based Panasonic cohort study 3

Background

Due to a lack of investigation on the association between the type of occupation and the development of type 2 diabetes among Japanese individuals, we aimed to assess this association in 98,935 Japanese individuals.

Methods

This long-term retrospective cohort study included participants selected from medical health checkup programs conducted at the Panasonic Corporation, Osaka, Japan, from 2008 to 2018. Cox regression analyses were used to evaluate the association between occupation type and the incidence of type 2 diabetes.

Results

From 2008 to 2018, 5,008 participants developed type 2 diabetes. The proportion of never smokers, those with slow eating speeds, and those working with a flextime system was higher in men with technical jobs than in salespersons, manufacturers, and office workers (p < 0.0001). Cox regression analyses revealed that occupation type was associated with an increased probability of type 2 diabetes development in men but not in women. Multivariate analyses showed that the hazard ratios were 1.15 [95% confidence interval (CI), 1.05-1.26], 1.20 (95% CI, 1.10-1.30), and 1.11 (95% CI, 1.02-1.21) in men working as salespersons, manufacturers, and office workers, respectively (reference group: men with technical jobs). On the other hand, the occupation type was not associated with the development of type 2 diabetes in women.

Conclusions

This study demonstrated that occupation type might be an independent factor in the development of type 2 diabetes in Japanese men.

Waist Circumference and Body Mass Index Variability and Incident Diabetic Microvascular Complications: A Post Hoc Analysis of ACCORD Trial

BACKGROUND

Obesity is associated with adverse health events among diabetic patients, however, the relationship between obesity fluctuation and risk of microvascular complications among this specific population is unclear. We aimed to examine the effect of waist circumference (WC) and body mass index (BMI) variability on the risk of diabetic microvascular outcome.

METHODS

Annually recorded anthropometric data in the Action to Control Cardiovascular Risk in Diabetes (ACCORD) study was used to examine the association of WC and BMI variability defined as variability independent of mean, with the risk of microvascular outcomes, including neuropathy, nephropathy, and retinopathy. Cox proportional hazards models were used to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs) (Trial registration: ClinicalTrials.gov., no. NCT00000620).

RESULTS

There were 4,031, 5,369, and 2,601 cases of neuropathy, nephropathy, and retinopathy during a follow-up period of 22,524, 23,941, and 23,850 person-years, respectively. Higher levels of WC and BMI variability were associated with an increased risk of neuropathy. Compared with the lowest quartile, the fully-adjusted HR (95% CI) for the highest quartile of WC and BMI variability for neuropathy risk were 1.21 (1.05 to 1.40) and 1.16 (1.00 to 1.33), respectively. Also, higher quartiles of BMI variability but not WC variability were associated with increased risk of nephropathic events. The fully-adjusted HR (95% CI) for the highest quartile compared with the lowest quartile of BMI variability was 1.31 (1.18 to 1.46). However, the results for retinopathic events were all insignificant.

CONCLUSION

Among participants with type 2 diabetes mellitus, WC and BMI variability were associated with a higher risk of neuropathic events, whereas BMI variability was associated with an increased risk of nephropathic events.

Variability, Mean, and Baseline Values of Metabolic Parameters in Predicting Risk of Type 2 Diabetes

CONTEXT

The effect of baseline (B) and alteration of metabolic parameters (MPs), including plasma glucose (PG) testing, insulin resistance surrogates, and lipid profile and their mutual interactions on the development of type 2 diabetes mellitus (T2DM), has not been investigated systematically.

OBJECTIVE

To access the association of the past variability (V), past mean (M), and B values of various MPs and their mutual interaction with the risk of T2DM.

METHODS

A community-based, longitudinal analysis was conducted using the Korean Genome and Epidemiology Study comprising 3829 nondiabetic participants with completed MPs measurements during 3 biannually visits who were followed over the next 10 years. Outcomes included the incidence of T2DM during follow-up.

RESULTS

Among predictors, PG concentrations measured during the oral glucose tolerance test were the most prominent T2DM determinants, in which the M of the average value of fasting PG (FPG), 1-hour, and 2-hour PGs had the strongest discriminative power (hazard ratios and 95% CI for an increment of SD: 3.00 (2.5-3.26), AUC: 0.82). The M values of MPs were superior to their B and V values in predicting T2DM, especially among postload PGs. Various mutual interactions between indices and among MPs were found. The most consistent interactants were the M values of high-density lipoprotein cholesterol and the M and V values of FPG. The findings were similar in normal glucose tolerance participants and were confirmed by sensitivity analyses.

CONCLUSION

Postload PG, past alteration of measurements, and mutual interactions among indices of MPs are important risk factors for T2DM development.

Fasting plasma glucose level in the range of 90-99 mg/dL and the risk of the onset of type 2 diabetes: Population-based Panasonic cohort study 2

AIM/INTRODUCTION

As the association between a fasting glucose concentration of 90-99 mg/dL and the onset of type 2 diabetes is still controversial, we aimed to assess it in 37,148 Japanese individuals with a normal plasma glucose concentration.

MATERIALS AND METHODS

This long-term retrospective cohort study included individuals having a medical checkup at Panasonic Corporation from 2008 to 2018. In total, 1,028 participants developed type 2 diabetes.

RESULTS

Cox regression analyses revealed that the risk for the onset of diabetes increased by 9.0% per 1 mg/dL increase in fasting plasma glucose concentration in subjects with the concentration ranging from 90 to 99 mg/dL. Compared with individuals with a fasting glucose concentration of ≤89 mg/dL, the adjusted hazard ratios for developing diabetes were 1.53 (95% CI; 1.22-1.91), 1.76 (95% CI; 1.41-2.18), 1.89 (95% CI; 1.52-2.35), 3.17 (95% CI; 2.61-3.84), and 3.41 (95% CI; 2.79-4.15) at fasting plasma glucose concentrations of 90-91, 92-93, 94-95, 96-97, and 98-99 mg/dL, respectively. In populations with obesity, the adjusted hazards ratios for developing diabetes were 1.56 (95% CI; 1.15-2.09), 1.82 (95% CI; 1.37-2.40), 2.05 (95% CI; 1.55-2.69), 3.53 (95% CI; 2.79-4.46), and 3.28 (95% CI; 2.53-4.22) at fasting plasma glucose concentrations of 90-91, 92-93, 94-95, 96-97, and 98-99 mg/dL, respectively.

CONCLUSIONS

This study demonstrates that the risk of type 2 diabetes among subjects having a fasting plasma glucose concentration of 90-99 mg/dL, is progressively higher with an increasing level of fasting plasma glucose concentration in a Japanese people.

Obesity paradox in patients with chronic total occlusion of coronary artery

BACKGROUND

Obesity is associated with metabolic syndrome which increases further risk of coronary artery disease and adverse cardiovascular events. Impact of body mass index (BMI) on long-term outcome in patients with coronary chronic total occlusion (CTO) is less clear.

METHOD AND RESULTS

From January 2005 to November 2020, a total of 1301 patients with coronary angiographic confirmed CTO were enrolled in our study. Patients were divided into two groups: low BMI group: 18-24.99 kg/m² and high BMI group ≥25 kg/m² . Clinical outcomes were 3-year all-cause mortality, 3-year cardiovascular mortality and 3-year non-fatal myocardial infarct. During the 3-year follow-up period, all-cause mortality was significantly higher in patients with low BMI group compared to those in high BMI groups (14% vs. 6%, p = .0001). Kaplan-Meier analysis showed patients with high BMI groups had significant better survival compared with those in low BMI group (p = .0001). In multivariate analysis, higher BMI was independently associated with decreased risk of 3-year all-cause mortality (Hazard ratio [HR]: 0.534; 95% confidence interval [CI]: 0.349-0.819, p = .004) after controlling for age, renal function, prior history of stroke, coronary artery bypass graft, co-morbidities with peripheral arterial disease, heart failure and revascularization status for CTO. In propensity-matched multivariate analysis, high BMI remained a significant predictor of 3-year all-cause mortality (HR, 0.525; 95% CI, 0.346-0.795, p = .002).

CONCLUSION

Higher BMI was associated with better long-term outcome in patients with coronary CTO.