Association of calf circumference with insulin resistance and non-alcohol fatty liver disease: the REACTION study

Relatively lower BMI-adjusted calf circumference is associated with metabolically unhealthy phenotype in non-obese adults: a cross-sectional study

BACKGROUND

Metabolically unhealthy non-obese (MUNO) individuals are at higher risk of cardiovascular diseases, while not receiving sufficient attention. This study was conducted to explore the association between BMI-adjusted CC and MUNO in non-obese US adults using the NHANES database.

METHODS

A total of 9,628 non-obese US adults (48.01% female and 51.99% male) were included in this cross-sectional study. The metabolically unhealthy phenotype was defined as ≥ 2 components of metabolic abnormalities. BMI-adjusted CC and BMI-adjusted skeletal muscle mass (SMM) were divided into quartiles. Weighted multiple logistic regression model was used to evaluate the study aims. The relation between BMI-adjusted CC and BMI-adjusted SMM was tested by Spearman correlation.

RESULTS

In the multivariate analysis, compared with the lowest quartile of BMI-adjusted CC and BMI-adjusted SMM, OR (95%CI) of the highest quartile was 0.30 (0.25, 0.35) (P < 0.001, P for trend < 0.001) and 0.39 (0.29, 0.53) (P < 0.001, P for trend < 0.001), respectively. BMI-adjusted CC was positively correlated with BMI-adjusted SMM for all participants (r = 0.48). A weak non-linear association was observed in BMI-adjusted CC and MUNO (P = 0.047). Similar results were observed in sex- and BMI-specific subgroup and sensitivity analysis.

CONCLUSION

BMI-adjusted CC was inversely associated with MUNO, suggesting more attention should be paid to monitoring BMI-adjusted CC for the public to ease the disease burden, especially for people without obesity.

Association between Height-Changing Scores and Risk of Sarcopenia Estimated from Anthropometric Measurements in Older Adults: A Cross-Sectional Study

Anthropometric assessments are commonly used to diagnose sarcopenia in older adults. However, the ongoing exploration of novel approaches aims to improve the early detection of sarcopenia. This study investigated the association between the height-changing score (HCS) and the risk of sarcopenia defined by anthropometric measurements in 340 older adults (mean age: 66.2 years). The HCS derived from the difference in height and demi-span equivalent height (DEH) was used as an indicator of declining height in the older adults. Multivariate logistic regression analysis revealed a significant association between the HCS and the risk of sarcopenia in both male and female older adults (OR = 1.146, 95% CI [1.021, 1.286], p = 0.021). In addition, income, BMI, and nutritional status were significantly associated with the risk of sarcopenia (OR = -1.933, 95% CI [0.271, 0.986], p = 0.045; OR = -2.099, 95% CI [0.386, 0.587], p < 0.001; OR = -1.443, 95% CI [0.555, 0.866], p = 0.001, respectively). The white blood cell count, lymphocyte count, and HDL cholesterol were blood biomarkers significantly correlated with calf circumference. It can be suggested that the HCS acts as an indicator and screening tool for sarcopenia risk in older adults, highlighting the potential impact of decreased height on muscle mass loss. Encouraging nutritional support can help mitigate the risk of sarcopenia.

Semiparametric modeling for the cardiometabolic risk index and individual risk factors in the older adult population: A novel proposal

The accurate monitoring of metabolic syndrome in older adults is relevant in terms of its early detection, and its management. This study aimed at proposing a novel semiparametric modeling for a cardiometabolic risk index (CMRI) and individual risk factors in older adults.

METHODS

Multivariate semiparametric regression models were used to study the association between the CMRI with the individual risk factors, which was achieved using secondary analysis the data from the SABE study (Survey on Health, Well-Being, and Aging in Colombia, 2015).

RESULTS

The risk factors were selected through a stepwise procedure. The covariates included showed evidence of non-linear relationships with the CMRI, revealing non-linear interactions between: BMI and age (p< 0.00); arm and calf circumferences (p<0.00); age and females (p<0.00); walking speed and joint pain (p<0.02); and arm circumference and joint pain (p<0.00).

CONCLUSIONS

Semiparametric modeling explained 24.5% of the observed deviance, which was higher than the 18.2% explained by the linear model.

The Correlation Between Leg Muscle Mass Index and Non-Alcoholic Fatty Liver Disease in Patients with Type 2 Diabetes Mellitus

Objective

To analyze the relationship between leg skeletal muscle mass index (LSMI) and non-alcoholic fatty liver disease (NAFLD) in patients with type 2 diabetes mellitus (T2DM) and the ability of LSMI to predict NAFLD.

Methods

Two hundred patients with T2DM and NAFLD treated at Changzhou Second People's Hospital Affiliated with Nanjing Medical University and the National Metabolic Management Center from June 2022 to June 2023 were divided into four LSMI quartiles. The clinical information from the four patient groups was compared, and the relationship between type 2 diabetes and LSMI and NAFLD was examined. We used receiver operating characteristic curves to determine how well the LSMI predicts NAFLD in T2DM.

Results

The lowest quartile (Q1) had a higher prevalence of NAFLD than group Q4 (P < 0.05). LSMI was negatively associated with body mass index, LS, CAP, and other markers (P < 0.05). Receiver operating characteristic curve analysis LSMI predicted NAFLD with an ideal critical value of 0.64 and an area under the curve of 70.9%. The combined predictive value of the LSMI and the appendicular skeletal muscle mass index was more significant.

Conclusion

Reduced LSMI is associated with NAFLD.

Calf circumference predicts frailty in older adults: the Chinese longitudinal healthy longevity survey

BACKGROUND

Although frailty is a common geriatric syndrome in old adults, a simple method to assess the degree of frailty in a person has not yet been established. In this study we have tried to establish the association between calf circumference (CC) and frailty among older Chinese people.

METHODS

We used the data obtained from the 2014 edition of the Chinese Longitudinal Healthy Longevity Survey; 1216 participants aged ≥60 years were included for the study. Body mass index, CC and waist circumference measurement data, and laboratory test results were collected. Frailty status was measured using the frailty index (FI). Participants were then classified into non-frail (FI < 0.25) and frail (FI ≥ 0.25) groups.

RESULTS

There were 874 participants (71.9%) in the non-frail group and 342 (28.1%) in the frail group. The CC was significantly different between the two groups (31.54 ± 4.16 versus 28.04 ± 4.53, P < 0.001). Logistic regression analysis revealed that CC (odds ratio = 0.947, 95% confidence interval: 0.904-0.993, P = 0.023) was an independent impact factor associated with frailty. The CC value of 28.5 cm was considered the best cut-off value in women with area under the curve (AUC) was 0.732 (P < 0.001) and 29.5 cm in men with AUC was 0.592 (P = 0.004);We created a simple prediction model for frailty that included age,sex and CC:[Formula: see text]P = e^logit(P) /1 + e^logit(P), and AUC is 0.849 (P < 0.001).

CONCLUSIONS

CC is a convenient and predictable marker of frailty in older adults.

Calf circumference positively correlates with calf muscle thickness and negatively correlates with calf subcutaneous fat thickness and percent body fat in non-obese healthy young adults

BACKGROUND

Calf circumference is measured for assessing sarcopenia, nutrition status, percent body fat or obesity. However, there has been no study that investigated the relationship between calf circumference and calf subcutaneous fat tissue thickness. Therefore, the purpose of this study was to investigate the relationship between calf circumference, calf muscle thickness, and calf subcutaneous fat tissue thickness in nonobese healthy young adults.

METHODS

The study participants were non-obese 22 women (20.1 ± 0.8 years) and 21 men (20.0 ± 0.8 years). The right calf circumference was measured in prone position at the point where the circumference was maximal by visual recognition using a measuring tape. Then, thickness of calf subcutaneous fat tissue and calf muscles were measured with an ultrasonic diagnostic equipment.

RESULTS

There was a positive relationship between calf circumference and calf muscle thickness both in women (r = 0.58, P < 0.01) and men (r = 0.46, P < 0.05), negative relathionship between calf circumference and calf subcutaneous fat tissue thickness both in women (r = -0.43, P < 0.05) and men (r = -0.67, P < 0.001), no correlation between calf circumference and percent body fat both in women (r = 0.04, P = 0.87) and men (r = 0.41, P = 0.06), and a negative relationship between calf subcutaneous fat tissue thickness and percent body fat both in women (r = -0.48, P < 0.05) and men (r = -0.46, P < 0.05).

CONCLUSIONS

Our present study showed that a larger calf indicated larger calf muscle thickness, and largely different from previous studies, a lower calf subcutaneous fat tissue thickness. That is because when the calf circumference increases, calf subcutaneous fat tissue thickness should be thinner to keep the percent body fat equal in non-obese healthy young adults. The finding will help to get a better understanding of the nature of the calf.

Investigating the Relationship Between Insulin Resistance and Fatty Liver in a Random Population of Tehran

Background: Insulin resistance can be a predictor of adverse fatty liver disease and health problems. Objectives: The present study aimed to investigate the effect of insulin resistance on fatty liver disease. Methods: This study used the data of 2,160 individuals registered in a cross-sectional study who were randomly selected from among clients of a nutrition clinic in Tehran from April to December 2019. Insulin resistance and beta-cell activity were calculated by the homeostasis model assessment formula. The study outcome was defined as having fatty liver disease. The odds ratio (95% CI) was calculated using logistic regression models. Results: The mean age was 35 (± 9) in healthy subjects and 49 (± 8) in fatty liver disease patients (age range: 16 to 42 years). Nearly 34.5% of the individuals had fatty liver disease. According to the adjusted results of the logistic regression model, the risk of NAFLD was 1.05 (P < 0.001) for one unit increase in fasting insulin and 1.01 (P < 0.001) for one unit increase in 2-h insulin, which indicated the statistically significant relationship of NAFLD with fasting insulin and 2-h insulin. Also, the risk of NAFLD was 1.01 P < 0.001) for one unit increase in FPG, which was statistically significant. Moreover, the adjusted risk of NAFLD was 1.00 (P < 0.001) for one unit increase in 2-h glucose, which was not statistically significant. Finally, the adjusted risk of NAFLD was 1.29 (P < 0.001) for one unit increase in HOMA-IR, which was statistically significant. Conclusions: The findings of the present study demonstrated that insulin resistance could increase the risk of fatty liver disease. Also, each one-unit increase in fasting blood sugar, fasting insulin, and 2-h insulin increased the risk of fatty liver disease. Therefore, the results of this study may be useful for health policymakers to design suitable preventive and therapeutic interventions for those with NAFLD to prevent and control this disease.