Normalized Hand Grip and Back Muscle Strength as Risk Factors for Incident Type 2 Diabetes Mellitus: 16 Years of Follow-Up in a Population-Based Cohort Study

Association of handgrip strength with new-onset CKD in Korean adults according to gender

Introduction

Handgrip strength (HGS) is an indicator of many diseases such as pneumonia, cardiovascular disease and cancer. HGS can also predict renal function in chronic kidney disease (CKD) patients, but the value of HGS as a predictor of new-onset CKD is unknown.

Methods

173,195 subjects were recruited from a nationwide cohort and were followed for 4.1  years. After exclusions, 35,757 participants remained in the final study, and CKD developed in 1063 individuals during the follow-up period. Lifestyle, anthropometric and laboratory data were evaluated in relation to the risk of CKD.

Results

The participants were subdivided into quartiles according to relative handgrip strength (RGS). Multivariate Cox regression demonstrated that RGS was inversely associated with incident CKD. Compared with the lowest quartile, the hazard ratios (HRs) [95% confidence intervals (CIs)] for incident CKD for the highest quartile (Q4) was 0.55 (0.34-0.88) after adjusting for covariates in men and 0.51 (0.31-0.85) in women. The incidence of CKD decreased as RGS increased. These negative associations were more significant in men than in women. The receiver operating characteristic (ROC) curve showed that baseline RGS had predictive power for new-onset CKD. Area under the curve (AUC) (95% CIs) was 0.739 (0.707-0.770) in men and 0.765 (0.729-0.801) in women.

Conclusion

This is the novel study demonstrating that RGS is associated with incident CKD in both men and women. The relationship between RGS and incident CKD is more significant in women than in men. RGS can be used in clinical practice to evaluate renal prognosis. Regular measurement of handgrip strength is essential to CKD detection.

Low thigh muscle strength in relation to myosteatosis in patients with type 2 diabetes mellitus

This study aimed to investigate the association of thigh muscle fat infiltration by quantitative MRI with muscle strength in patients with type 2 diabetes mellitus (T2DM). Seventy T2DM patients and sixty control subjects (71 males; age: 52 ± 8 years) underwent 3.0T MRI and isokinetic muscle strength measurements to obtain the skeletal muscle index (SMI), intermuscular adipose tissue (IMAT) proton density fat fraction (PDFF), intramuscular fat (IMF) PDFF, peak torque (PT) and total work (TW) of knee extensors and flexors. The differences of measurements between T2DM patients and asymptomatic volunteers were compared. Multivariate regression analysis was used to determine significant predictors of thigh extension and flexion strength. The SMI, IMAT and IMF PDFF of thigh muscles in T2DM patients were higher than that in the control group (p < 0.001), while PT and TW were lower than those in the control subjects (p < 0.05). Both IMF and IMAT PDFF were negatively correlated with PT, TW in participants with T2DM (extensors: r = - 0.72, - 0.70, p < 0.001; r = - 0.62, - 0.56, p < 0.05. flexors: r = - 0.37, - 0.43, p < 0.05; r = - 0.39, - 0.46, p < 0.05). Moderate and strong correlations between HOMA-IR and muscle strength measurements, muscle PDFFs were observed in extensors and flexors. IMF PDFF and age were the statistically significant predictor of PT and TW of extensors of thigh in multivariate regression analysis. Therefore, the thigh muscle PDFF increased was associated with muscle strength decreased in T2DM patients beyond SMI. Age are also important factors influencing thigh muscle PDFF and strength in T2DM patients.

Hand Grip Strength Relative to Waist Circumference as a Means to Identify Men and Women Possessing Intact Mobility in a Cohort of Older Adults with Type 2 Diabetes

Possessing intact mobility in older adults assures their continued independence. The early identification of reduced mobility in older adults with type 2 diabetes (T2DM) is paramount for preventing their future physical deterioration. Hand grip strength (HGS), relative to body size, is associated with mobility in older T2DM patients. This study aims to identify an HGS index that best identifies mobilityintact older T2DM patients, along with its optimal cut-off point. The baseline data are from a cohort of 122 older T2DM patients (59% women) (mean age of 70.2 ± 4.4 years). Three mobility tests encompassing three main mobility domains were measured, including usual gait speed (UGS), timed up and go (TUG), and a two-minute walk test (2MWT). Passing scores were defined as those either above the established cut-off points or above the 25th percentile of population norms. Passing all three tests was considered as possessing intact mobility. Receiver operating characteristic (ROC) curves of the most relevant HGS indices were constructed to determine the area under the curve (AUC) that best identifies patients with intact mobility. In a sample of 122 older adults with T2DM, 63.9% of women and 60% of men were found to possess intact mobility. HGS relative to waist circumference (WC) was found to have the strongest association with intact mobility, presenting the highest AUC in both men (0.78) and women (0.72) for discriminating mobility status, with an optimal cut-off of 0.355 (kg/cm) and 0.245 (kg/cm) in men and women, respectively. HGS relative to WC best differentiated between mobility-intact older adults with T2DM and those with mobility limitations, especially in men. Using HGS/WC as a simple and safe screening mode for mobility in a clinical setting could potentially identify older patients with T2DM that require therapeutic interventions.

Gender-Specific Association of Handgrip Strength with Type 2 Diabetes Mellitus in Chinese Han Older Adults

PURPOSE

We aimed to analyze the relationship between handgrip strength/relative handgrip strength among older Han adults with type 2 diabetes mellitus (T2DM) by gender to determine the optimal cut-off value of grip strength for older adults.

METHODS

A multi-stage sampling method was used to conduct a questionnaire survey and physical examination of 6128 older adults in Anhui Province. Chi-squares tests, t-tests, analysis of variance, and logistic regression analysis were used to analyze the association between handgrip strength/relative handgrip strength and T2DM between the sexes. The decision tree model (CRT) was used to explore the predictive value of handgrip strength /relative handgrip strength on T2DM.

RESULTS

There was an association between handgrip strength and T2DM (P = 0.006, OR = 0.985, 95% CI = 0.975, 0.996), which was found in females (P = 0.013, OR = 0.978, 95% CI = 0.961, 0.995) but not in males (P = 0.125, OR = 0.989, 95% CI = 0.976, 1.003). Relative handgrip strength was also correlated with T2DM (P = 0.014, OR = 0.730, 95% CI = 0.568, 0.939), which was found in females (P = 0.003, OR = 0.534, 95% CI = 0.352, 0.809) but not in males (P = 0.432, OR = 0.879, 95% CI = 0.638, 1.212). The incidence of T2DM in elderly females with hypertension who were uneducated and with a handgrip strength of <17.350 kg was 24.3% (115 cases), whereas that in elderly females with hypertension and a relative handgrip strength of <0.240 was 29.0% (127 cases).

CONCLUSION

According to our results, handgrip strength and relative handgrip strength were associated with T2DM. People with hypertension had a higher risk of T2DM in women with a handgrip strength of ≤ 17.350kg and a relative grip strength of ≤ 0.240. Further research is needed to validate the effectiveness of this cut-off for implementing interventions and avoiding risks.

Association between handgrip strength and metabolic syndrome: A meta-analysis and systematic review

BACKGROUND

Although muscle strength has been reported to be associated with metabolic syndrome (MetS), the association is still controversial. Therefore, the purpose of this meta-analysis was to identify the association between handgrip strength (HGS) and MetS.

METHODS

Original research studies involving HGS and MetS from database inception to 20 May 2022 were selected from PubMed, Web of Science, Embase, China National Knowledge Infrastructure, Wanfang databases, and Chinese Biomedical Document Service System. The odds ratios (ORs) with 95% confidence intervals (CIs) of MetS for HGS were calculated using a random-effects model. A dose-response analysis was performed. Subgroup analysis and meta-regression were also conducted.

RESULTS

Thirty effect sizes (reported in 19 articles) with a total of 43,396 participants were included in this meta-analysis. All studies were considered to be of moderate-to-good quality. An inverse association between HGS (low vs. high) with MetS was shown (OR: 2.59, 95% CI: 2.06-3.25). Subgroup analyses demonstrated the pooled ORs of relative HGS (HGS/weight), relative HGS (HGS/BMI), and absolute HGS were 2.97 (95% CI: 2.37-3.71), 2.47 (95% CI: 1.08-5.63), and 1.34 (95% CI: 1.06-1.68), respectively. Dose-response analysis revealed a significant linear dose-response relationship between relative HGS (HGS/weight) and MetS in observational studies (0.1 HGS/weight: OR, 0.68; 95% CI: 0.62-0.75). Univariate meta-regression analysis indicated that country status, measuring tools of HGS, components of MetS, and diagnosed criteria of MetS explained 16.7%, 26.2%, 30.1%, and 42.3% of the tau-squared in the meta-regression, respectively.

CONCLUSION

The results of the current meta-analysis indicated that lower HGS is associated with a higher risk of MetS. A linear dose-response association between lower relative HGS (HGS/weight) and increased prevalence of MetS was found. Accordingly, a lower HGS is a significant predictor of MetS.

SYSTEMATIC REVIEW REGISTRATION

[https://www.crd.york.ac.uk/PROSPERO/], identifier [CRD42021276730].

Poor glycemic control rather than types of diabetes is a risk factor for sarcopenia in diabetes mellitus: The MUSCLES-DM study

AIMS/INTRODUCTION

poor glycemic control and insulin treatment are reported to be associated with sarcopenia in type 2 diabetes, type 1 diabetes may be a stronger risk for sarcopenia. We therefore studied the effect of the type of diabetes, glycemic control, and insulin therapy on the prevalence and characteristics of sarcopenia.

MATERIALS AND METHODS

A total of 812 Japanese patients with diabetes (type 1: n=57; type 2: n=755) were enrolled in this study. Sarcopenia was defined as low handgrip strength or slow gait speed and low appendicular skeletal muscle mass.

RESULTS

Among participants aged ≥65 years, the sarcopenia prevalence rate was higher among patients with type 1 diabetes (20.0%) than among those with type 2 diabetes (8.1%). The prevalence rate of low handgrip strength was higher in type 1 diabetes (50.0%) than in type 2 diabetes (28.7%). In logistic regression analysis, type 1 diabetes was significantly associated with the prevalence of low handgrip strength. In logistic regression analysis, medication with insulin was significantly associated with the prevalence of sarcopenia; this association was not retained after adjusting for HbA1c.

CONCLUSIONS

The prevalence of sarcopenia in older adult patients was higher in those with type 1 diabetes than in those with type 2 diabetes. Among the components of sarcopenia, the difference was most prominent in the frequency of low handgrip strength. Poor glycemic control rather than type of diabetes or insulin treatment was revealed to be a primary risk factor for sarcopenia in diabetes mellitus.

Association between relative handgrip strength and abdominal obesity, type-2 diabetes and hypertension in a Mexican population

BACKGROUND

handgrip strength (HGS) is a health-status parameter associated with multicomorbidity in the adult population.

OBJECTIVE

the aim of the present study was to determine the association between HGS (i.e., absolute and relative) and abdominal obesity (AO), type-2 diabetes (T2D), and hypertension (HT), as well as to determine the association between low relative HGS with the presence of multicomorbidity (i.e., the co-occurrence of two or more comorbidities together) in a Mexican population.

METHODOLOGY

a cross-sectional study was carried out in 860 participants from the south of Mexico (661 women and 199 men). The age range evaluated was from 18 to 65 years. Assessments were made of sociodemographic data, clinical history, anthropometric parameters, and measurement of maximal HGS.

RESULTS

the regression models adjusted by age show that the presence of comorbidities (i.e., AO, HT and T2D) was linked negatively to HGS (i.e., absolute and relative). Moreover, in men, a low relative HGS in both hands reported an association with the presence of three simultaneous comorbidities (right, RR: 17.2, p < 0.001; left, RR: 11.92, p = 0.020). In women the same association was found (right, RR: 10.42, p < 0.001; left, RR: 9.90, p < 0.001).

CONCLUSION

lower levels of relative HGS were linked to the presence of simultaneous comorbidities (i.e., the joint presence of AO, T2D and HT). Furthermore, HGS (i.e., absolute and relative) presented an inverse association with individual anthropometric and clinical parameters related to cardiovascular risk in the Mexican population.

What can hand grip strength tell us about type 2 diabetes?: mortality, morbidities and risk of diabetes

INTRODUCTION

Hand grip strength (HGS) has been determined as a simple and cost effective method for evaluating overall skeletal muscle strength and quality. It has been used in numerous clinical studies to examine the association between skeletal muscle and type 2 diabetes (T2D). Previous studies have shown that HGS is significantly associated with mortality and cardiovascular disease (CVD) in patients with T2D. As the prevalence of T2D has seen a steady increase globally, HGS measurement can be useful and essential in managing T2D.

AREAS COVERED

This narrative review summarizes the current evidence regarding the association between HGS and T2D. HGS has been considered a useful tool for identifying risks for T2D, CVD, and mortality and evaluating skeletal muscle strength and quality.

OPINION

HGS should be measured in all patients with T2D together with height, weight, and waist circumference. However, there is yet no standard method used in measuring for HGS. T2D patients with a low HGS can engage in resistance training more effectively with appropriate advice based on HGS. Future studies clarifying the genetic association between skeletal muscle and T2D are needed to provide individualized exercise therapy.