Utilization of anthropometric parameters as a novel tool for detection of insulin resistance

The L-shaped association of mid-upper arm circumference with all-cause and cause-specific mortality in US adults: a population-based prospective cohort study

BACKGROUND

The arm circumference is a feasible and reliable indicator in evaluating the nutritional status of children. However, its application in general adults has yet to be thoroughly investigated.

OBJECTIVE

This study aimed to evaluate the association between mid-upper arm circumferences (MUACs) and mortality in general adults.

METHODS

The nationally representative cohort from the National Health and Nutrition Examination Survey (1999-2018) was analyzed with mortality information obtained through linkage to the National Death Index. The baseline MUACs were collected as exposure. Survey-weighted Cox proportional hazard regressions were performed to estimate the hazard ratios (HRs) and 95% confidential intervals (CIs) of mortality risk for individuals with different MUACs. Restricted cubic spline analyses were performed to examine the nonlinear association of MUAC with all-cause and cause-specific mortality.

RESULTS

A total of 52,159 participants were included in this study. During a median follow-up time of 117 months, 7157 deaths were documented, with leading causes of cardiovascular disease (CVD), cancer, and respiratory disease. Individuals in the first quartile (Q1) of MUAC tended to have higher all-cause mortality risk than the rest after full adjustment. Similarly, CVD mortality risk in Q1 was higher than that in the second quartile (Q2) and the third quartile (Q3); respiratory mortality risk in Q1 was higher than in Q2. MUAC was non-linearly associated with all-cause mortality and CVD mortality. Individuals in Q1 MUAC (≤ 29.3) tended to have higher all-cause mortality risk, with HRs (95% CIs) estimated to be 0.76 (0.67-0.87) for Q2 (29.4, 32.5), 0.69 (0.59-0.81) for Q3 (32.6, 36.0), and 0.59 (0.46-0.75) for Q4 (≥ 36.1) after adjustment of demographic, lifestyle, and comorbidity covariates. Similarly, compared with Q1, HRs (95% CIs) for CVD mortality were estimated to be 0.73 (0.58-0.93) for Q2 and 0.57 (0.43-0.47) for Q3; HRs (95% CIs) for respiratory mortality was estimated to be 0.57 (95% CI, 0.37-0.87) for Q2 with other differences not significant.

CONCLUSION

The MUAC was inversely associated with long-term mortality in general adults in the United States and may serve as a valuable measurement in adult health evaluations.

Low muscle mass and mortality risk later in life: A 10-year follow-up study

Introduction

Little is known about the impact of low muscle mass (MM) assessed by calf circumference (CC), arm circumference (AC), arm muscle circumference (AMC), and corrected arm muscle circumference (CAMC)—on mortality risk later in life. We aimed to investigate the impact of low MM assessed by CC, AC, AMC and, CAMC on all-cause, cardiovascular, and cancer mortality risk.

Methods

Data came from 418 older adults who participated in a 10-year follow-up prospective cohort study. Low MM was defined as a CC < 33 cm for women and < 34 cm for men and by the lowest tertile of AC, AMC, and CAMC stratified by sex. The log rank test, Kaplan-Meier curves, and Cox regression were used.

Results

There were 147 deaths: 49 related to CVD and 22 to cancer. A small CC (HR = 1.57, 95% CI, 1.12–2.20), AMC (HR = 1.61, 95% CI, 1.13–2.30) and CAMC (HR = 1.45, 95% CI, 1.03–2.04) were associated with all-cause mortality. A small CAMC was a protective factor for CVD mortality (HR = 0.46, 95% CI, 0.22–0.98). In the Kaplan-Meier analysis, older adults with LMM presented low all-cause mortality survival, with AC (p < 0.05), AMC (p < 0.005), CAMC (p < 0.002), and CC (p < 0.001). Cancer mortality was associated with low CAMC (p < 0.020).

Conclusions

Low MM assessed by anthropometric measures (AC, AMC, CAMC and CC) increased the all-cause mortality risk. A small CAMC decreased the CVD mortality.

Large mid-upper arm circumference is associated with reduced insulin resistance independent of BMI and waist circumference: A cross-sectional study in the Chinese population

BACKGROUND

Body mass index (BMI) is a common indicator in clinical practice, but it is not sufficient to predict insulin resistance (IR). Other anthropometric methods supplement BMI in the assessment of body composition, which can be predicted more accurately. This cross-sectional study aimed to evaluate the association between mid-upper arm circumference (MUAC), triceps skinfold (TSF) thickness, mid-arm muscle circumference (MAMC) and IR in Chinese adults.

METHODS

This cross-sectional study analyzed data from the 2009 China Health and Nutrition Survey database. The study population was divided into four groups according to the MUAC quartiles, and the homeostasis mode assessment was used to evaluate the degree of IR. Logistic regression analysis was performed to calculate odds ratios (ORs) with 95% confidence intervals (CIs), with adjustments for multiple covariates. Subgroup analyses stratified by age, sex, BMI, waist circumference (WC), smoking status, and alcohol consumption were performed.

RESULTS

In total, 8,070 participants were included in the analysis. As MUAC increased, BMI, TSF thickness, MAMC, and the proportion of IR tended to increase. However, we found that there was a significant negative association between MUAC and MAMC and IR in the logistic regression analysis, independent of BMI and WC, the ORs for the highest quartiles compared with the lowest quartiles were 0.662 (95%CI: 0.540-0.811) and 0.723 (95%CI: 0.609-0.860), respectively. There was no significant association was observed between the TSF thickness and IR (OR=1.035 [95%CI: 0.870-1.231]). The inverse associations were more pronounced among participants with lower BMI and WC. No significant age-specific differences were observed (P-heterogeneity > 0.05).

CONCLUSIONS

After adjusting for BMI and WC, MUAC was negatively associated with IR in Chinese adults, and the association between MUAC and IR was derived from arm muscle instead of subcutaneous fat. MUAC could be an additional predictor of IR besides BMI and WC in clinical practice.

Low calf circumference is associated with frailty in diabetic adults aged over 80 years

BACKGROUND

Frailty is now seen as a significant factor in older people with diabetes, whose mortality and disability increased. This study aims to investigate the association between calf circumference (CC) with frailty in diabetic adults aged over 80 years.

METHODS

A cross-sectional analysis was performed on the data of 426 diabetic adults aged over 80 years. On admission, demographic data and laboratory parameters were recorded. CC was measured on the lower right leg at the point of the maximal circumference. All participants accepted frailty assessments. Frailty was mainly defined using the Fried frailty phenotype criteria.

RESULTS

The CC levels were significantly lower in the frail than the non-frail (26.7 ± 4.0 vs. 31.2 ± 4.0, P < 0.001). CC was negatively correlated with the Fried frailty phenotype index (P < 0.001). Logistic regression analysis of frailty revealed that age (Odds Ratio (OR), 1.368; 95% Confidential Interval (CI) 1.002-1.869; P = 0.049), CC (OR, 0.756; 95%CI 0.598-0.956; P = 0.019) were independent impact factors of frailty after adjusting all the potential confounders. Participants with low CC tertile had a significantly higher Fried frailty phenotype index than those with high CC tertiles. The best CC cut-off value for predicting frailty was 29.3 cm, its sensitivity was 75.0%, and the specificity was 78.6%, and areas under the curve (AUC) was 0.786 (P < 0.001).

CONCLUSIONS

CC was strongly related to frailty in diabetic adults aged over 80 years, suggesting that CC may be helpful for monitoring physical frailty in older adults in clinical and research settings.