Anthropometric and Body Circumference Determinants for Hand Grip Strength: A Population-Based Mon-Timeline Study

Byambaa, Agiimaa; Altankhuyag, Indra; Damdinbazar, Otgonbayar; Jadamba, Tsolmon; Byambasukh, Oyuntugs

doi:10.1155/2023/6272743

Cited by 3 publications

(1 citation statement)

References 32 publications

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“…There are many studies which evaluated the association between HGS and height or weight. Byambaa found that HGS was significantly related with height, not weight [17]. The report of Ong also confirmed that HGS was significantly positively associated with height [18].…”

Section: Hand Grip Strength and Anthropometric Variablesmentioning

confidence: 67%

Muscle Mass and Muscle Strength in Non-Dialysis Dependent Chronic Kidney Disease Patients

Romejko,

Szamotulska,

Rymarz

et al. 2024

Preprint

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Background Sarcopenia is a state with progressive and generalized loss of skeletal muscle mass and strength. It is a serious complication occurring in chronic kidney disease (CKD) patients which increases morbidity and mortality rate. Sarcopenia is diagnosed when loss of both compartments - muscle strength and skeletal muscle quality or quantity are present. However, there are still numerous patients, also with CKD, diagnosed as pre-sarcopenic individuals with low muscle strength and normal skeletal muscle quality or quantity and conversely, with correct muscle strength and decreased skeletal muscle mass, who are prone to develop sarcopenia in future life. It is crucial to examine numerous variables possibly associated with changes of skeletal muscle mass and muscle strength in terms of preventing the development of sarcopenia. The aim of the study was to investigate anthropometric and clinical correlates and sources of variation in both skeletal muscle mass and muscle strength in advanced stages of CKD. Methods The study sample consisted of 84 non-dialysis dependent patients of both sexes (including 45.2% of women) with eGFR < 45 ml/min/1.73m2: 26.2% with eGFR 30-44 mL/min/1.73 m2, 65.5% with eGFR 15-29 mL/min/1.73 m2 and 8.3% with eGFR < 15 mL/min/1.73 m2. Muscle strength was estimated by measuring hand grip strength (HGS) with the use of handheld hydraulic dynamometer. Muscle quantity was measured by bioimpedance spectroscopy using Body Composition Monitor. Appendicular skeletal muscle mass (ASM) was calculated according to Lin’s formula. Serum creatinine, urea, uric acid and albumin were measured. Results In bivariate analysis we found that ASM significantly and positively correlated with anthropometric variables such as body mass (r=0.903, p<0.001), NH weight (r=0.882, p<0.001), height (r=0.694, p<0.001), body mass index (BMI) (r=0.701, p<0.001), lean tissue mass (LTM) (r=0.664, p<0.001), lean tissue index (LTI) (r=0.433, p<0.001), fat mass (r=0.614, p<0.001) and fat tissue index (FTI) (r=0.449, p<0.001), and was negatively associated with clinical variable such as hydration status (p<0.001). HGS significantly and positively correlated with anthropometric parameters such as body mass (r=0.319, p=0.003), NH weight (r=0.315, p=0.004), height (r=0.666, p<0.001), LTM (r=0.490, p<0.001), LTI (r=0.238, p=0.029), and ASM (r=0.501, p<0.001), and was negatively associated with clinical variables like uric acid (p=0.039) and urea (p<0.001). After adjustment for age, sex and height, HGS remained significantly and negatively related with uric acid (β=-1.078, p=0.041) and hydration status (β=-0.805, p=0.042). Conclusions In CKD patients, ASM is determined mainly by anthropometric parameters but HGS - both by anthropometric and clinical variables specific for CKD.

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Section: Hand Grip Strength and Anthropometric Variablesmentioning

confidence: 67%

Muscle Mass and Muscle Strength in Non-Dialysis Dependent Chronic Kidney Disease Patients

Romejko,

Szamotulska,

Rymarz

et al. 2024

Preprint

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Muscle Mass and Muscle Strength in Non-Dialysis-Dependent Chronic Kidney Disease Patients

Romejko,

Szamotulska,

Rymarz

et al. 2024

JCM

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Background: Sarcopenia is a state with a progressive and generalized loss of skeletal muscle mass and strength. However, muscle strength and muscle mass are different features, which are usually not studied separately. The aim of the study was to investigate anthropometric and clinical correlates and sources of variation in both skeletal muscle mass and muscle strength in chronic kidney disease (CKD). Methods: The study sample consisted of 84 patients with an estimated glomerular filtration rate (eGFR) < 45 mL/min/1.73 m2. Muscle strength was estimated by measuring hand grip strength (HGS). Muscle quantity was measured with bioimpedance spectroscopy (BIS). Serum creatinine, urea, uric acid (UA), and albumin were measured as well. Results: Appendicular skeletal muscle mass (ASM) significantly and positively correlated with body mass, NH weight (normally hydrated weight), height, body mass index (BMI), lean tissue mass (LTM), lean tissue index (LTI), fat mass (FM), and fat tissue index (FTI), and was negatively associated with hydration status. HGS significantly and positively correlated with body mass, NH weight, height, LTM, LTI, and ASM, and was negatively associated with UA and urea. After adjustment for age, sex, and height, HGS remained significantly and negatively related with UA and hydration status. Conclusions: In CKD patients, ASM is determined by anthropometric parameters, but HGS is determined by both anthropometric and clinical variables specific for CKD. In order to study the determinants of HGS in CKD, relationships with HGS should be adjusted for anthropometric variables.

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The Relationship Between Health Parameters, Body Size, Elements of Lifestyle, and Hand Grip Strength in a Group of Patients with Type 2 Diabetes, Aged 40–98, from Ulaanbaatar, Mongolia

Jaalkhorol,

Cieślik,

Dashtseren

et al. 2024

JCM

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Background/Objectives: Decreased muscle strength and lower hand grip strength (HGS) values are observed in patients with type 2 diabetes (T2D). This study aimed to present the values of hand grip strength as a valuable tool in T2D treatment monitoring in the context of body size and lifestyle elements in 347 patients with type 2 diabetes from Ulaanbaatar, Mongolia. Methods: A retrospective cross-sectional study was performed at hospitals in Ulaanbaatar, Mongolia. The maximum grip strengths of the right and left hands were measured three times, alternatively, using a digital hand dynamometer. The maximum grip strength of the dominant hand was used for the analysis. Results: The values of HGS in both hands dropped with increased age, systolic blood pressure (SBP), the duration of diabetes, and low glucose blood levels, whereas they increased with height. Patients who smoked had the lowest three values of HGS (the average value for each hand), whereas patients who quit smoking had the highest values. Second-order interactions between diastolic blood pressure (DBP) and sex showed a significant effect on the average HGS of both hands and for the left hand in particular (where HGS decreased only in females, whereas it increased in males). Conclusions: HGS is influenced by important socioeconomic and anthropometric factors in patients with type 2 diabetes, making it a valuable indicator of general health.

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Anthropometric and Body Circumference Determinants for Hand Grip Strength: A Population-Based Mon-Timeline Study

Cited by 3 publications

References 32 publications

Muscle Mass and Muscle Strength in Non-Dialysis Dependent Chronic Kidney Disease Patients

Muscle Mass and Muscle Strength in Non-Dialysis Dependent Chronic Kidney Disease Patients

Muscle Mass and Muscle Strength in Non-Dialysis-Dependent Chronic Kidney Disease Patients

The Relationship Between Health Parameters, Body Size, Elements of Lifestyle, and Hand Grip Strength in a Group of Patients with Type 2 Diabetes, Aged 40–98, from Ulaanbaatar, Mongolia

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