“A body shape index” and its association with arterial hypertension and diabetes mellitus among Brazilian older adults: National Health Survey (2013)

Anthropometry and blood biomarkers of diabetes and their possible association with obesity and metabolic syndrome

Background

Diabetes, a rapidly increasing heterogeneous disorder, is closely linked to the epidemic of obesity and metabolic syndrome (MetS). At present, we do not understand completely the blood biomarkers, molecular aetiology, and role of lifestyle modification and interventions to combat diabetes hand in hand with obesity and the MetS epidemic.

Methods

To measure different anthropometric and blood biomarkers in pre-diabetic and diabetic patients, we collected data and blood samples from patients in a hospital OPD. This was a cross-sectional study that included the identification of possible relationships between different parameters to predict early diagnostic markers of diabetes.

Results

We found increased body mass index (BMI), fasting blood glucose, neck, waist, and hip circumference, sagittal abdominal diameter, and skin fold thickness in the diabetic as compared to the pre-diabetic group. Also, serum uric acid and insulin resistance (HOMA-IR) values were significantly increased in diabetic individuals. We found a significant positive correlation between serum uric acid and BMI, fasting blood glucose, serum insulin, and HOMA-IR values.

Conclusions

Here, we found that pre-diabetic and diabetic patients have increased fasting glucose levels while we did not find any difference in insulin levels. Both pre-diabetic and diabetic patients show high serum uric acid, positively associated with a higher prevalence of diabetes and HOMA-IR. Uric acid may hence be an important parameter for early diagnostics. These findings may be used as a basis for future studies that aim to identify the mechanistic details of the association of uric acid with insulin signaling and hence better understanding of the phenomenon associated with diabetes.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40200-023-01276-4.

Factors associated to the adherence to the non-pharmachological treatment of hypertension in primary health care

OBJECTIVES

to evaluate the factors associated to the adherence to the non-pharmacological treatment of hypertension in primary health care.

METHODS

cross-sectional study with 421 participants. The adherence was evaluated using the components: weight control, abdominal circumference, physical activity, and alcohol consumption. The chi-squared and Mann-Whitney's tests were used for analysis.

RESULTS

the adherence to the control of the abdominal circumference was associated to smoking, sex, and stress. Smoking, age, and profession were associated to weight control. The adherence to a physical activity varied between the sexes and between people who used beta blockers and those who did not. Moderate alcohol consumption was associated to sex, age, profession, income, comorbidities, time using antihypertensive drugs, and using other medication.

CONCLUSIONS

socioeconomic and clinical factors were associated to the adherence to the anti-hypertensive treatment. Innovative techniques, such as the transtheoretical model of change, motivational interviews, and supported self-care can help in behavioral changes.

Anthropometric and body composition parameters in adolescents with the metabolically obese normal-weight phenotype

We aimed to investigate the anthropometric and body composition parameters associated with the metabolically obese normal-weight (MONW) phenotype. This cross-sectional study was conducted with 506 adolescents in Brazil (aged 10-19 y). The MONW phenotype was defined as normal-weight, according to BMI/age, and at least one metabolic alteration. Anthropometric measurements were obtained and the DEXA was used for body composition analysis. Crude and adjusted Poisson regression models with robust variance were used to estimate the associations. The phenotype was positively associated with waist circumference (male: prevalence ratio (PR) = 1·05; 95% CI 1·01, 1·09; female: PR = 1·06; 95% CI 1·02, 1·09), waist:height ratio (male: PR = 1·26; 95% CI 1·07, 1·49; female: PR = 1·29; 95% CI 1·07, 1·56) and android:gynoid fat ratio (male: PR = 1·25; 95% CI 1·03, 1·51; female: PR = 1·39; 95% CI 1·20, 1·62), in both sexes. Furthermore, there was a positive association of phenotype with waist:hip ratio (PR = 1·32; 95% CI 1·06, 1·65) and trunk:arm fat ratio (PR = 1·13; 95% CI 1·02, 1·24) only in males and with trunk:leg fat ratio (PR = 2·84; 95% CI 1·46, 5·53), BAIp (PR = 1·06; 95% CI 1·01, 1·12), fat mass index (PR = 1·24; 95% CI 1·10, 1·41) and regional indices of metabolic load and capacity (PR = 1·29; 95% CI 1·09, 1·53), in females. Anthropometric and body composition parameters indicative of central and total fat are associated with the MONW phenotype.

Edentulism and all-cause mortality among Brazilian older adults: 11-years follow-up

We assessed the association between edentulism and all-cause mortality among community-dwelling older adults from São Paulo, Brazil, from 2006 to 2017. This prospective cohort study used data from the Health, Well-being and Aging Study (SABE, Portuguese acronym). Edentulism was evaluated by means of clinical oral examination and all-cause mortality data were obtained from state official records. Covariates included socioeconomic factors (age, sex, and schooling); health behavior (smoking, alcohol intake, and physical activity); dental care (prostheses use); general health (multimorbidity); and nutritional status (underweight). Kaplan-Meier survival curves were stratified by edentulism and compared using the log-rank test. Cox proportional hazards model was applied to calculate hazard ratios (HRs) for the association between edentulism and mortality after adjusting for covariates. The study sample included 1,687 participants (age, 60-102 years; edentulous: 47.2%). In the 11 years of follow-up, we analyzed 10,494 person-years and 566 deaths. In bivariate analysis, edentulous older adults were found to be at a higher risk of dying from all causes than the dentate participants (HR: 1.81; 95%CI: 1.53-2.15). After sequential adjustment for socioeconomic factors, health behavior, dental care, general health, and nutritional status, this association was attenuated, but remained significant (HR: 1.34; 95%CI: 1.10-1.63). In conclusion, edentulism is a significant predictor of all-cause mortality among older adults.

A Linear Relationship Between a Body Shape Index and Risk of Incident Type 2 Diabetes: A Secondary Analysis Based on a Retrospective Cohort Study in Japan

PURPOSE

This study aimed to evaluate the association between a body shape index (ABSI) and incident type 2 diabetes and to explore the shape of their relationship in a cohort of Japanese adults.

PATIENTS AND METHODS

Data from 15,462 Japanese adults aged 18-79 years attending the NAGALA study (NAfld in the Gifu Area, Longitudinal Analysis) were used. Body weight, height, and waist circumference were measured. Blood samples were measured for serum lipid, glucose, and HbA1c. The risk of incident type 2 diabetes according to ABSI was estimated using multivariate Cox regression models. We examined a potential nonlinear relationship using a smoothing function analysis. Subgroup analyses were conducted according to age, gender, smoking status, alcohol intake, fatty liver, and BMI.

RESULTS

After adjusting for potential confounding factors (age, gender, smoking status, alcohol intake, fatty liver, systolic blood pressure, BMI, fasting plasma glucose, HbA1c, HDL-cholesterol, triglycerides), a linear relationship was observed between ABSI and risk of type 2 diabetes. The hazard ratio (HR) and 95% confidence intervals (95% CI) for incident type 2 diabetes with ABSI (10^-2 m^11/6kg^-2/3) were 1.51 (1.13, 2.01) (p=0.005). When ABSI was handled as categorical variable, the HRs and 95% CIs in the quartile 2 to 4 versus the quartile 1 were 0.97 (0.67, 1.41), 1.21 (0.85, 1.72) and 1.30 (0.92, 1.83), respectively (P for trend = 0.046). Subgroup analyses showed that the association stably existed in different subgroups including gender, age, smoking status, alcohol intake, fatty liver, and BMI.

CONCLUSION

ABSI was linearly associated with an elevated risk of incident type 2 diabetes across the full range of ABSI, independent of gender, age, smoking status, alcohol intake, fatty liver, SBP, BMI, FPG, HbA1c, HDL-cholesterol, and triglycerides.