Correlation of Forearm Circumference and Hand Length with Grip Strength in  Healthy Young Adults

Km, Seethamma; Raj, Joseph Oliver; Prakash, Nithin; Shetty, Kshama

doi:10.31080/asor.2019.02.0100

Cited by 7 publications

(6 citation statements)

References 19 publications

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“…As a result of the study by Seethamma et al (14), it was found that grip strength was directly related to the anthropometric measurement of hand length and forearm circumference, and therefore grip strength was associated with hand length and forearm circumference regardless of age and gender. While we obtained similar results to Seethamma et al (14), contrary to the results of our study, Nefesoğlu et al (15) reported that grip strength was associated with forearm length, arm circumference, and wrist circumference. Contrary to our results, Narin et al (6) reported that grip and finger grip strength were higher in individuals with longer forearms and more circumference measurements.…”

Section: Discussionmentioning

confidence: 94%

The Effects of Bioimpedance Analysis Results and Upper Extremity Anthropometric Measurements on Grip Strength in Young Adults

DEMİRDÖĞEN

Ulcay

GORGULU

et al. 2023

Düzce Tıp Fakültesi Dergisi

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Aim: Among the hand functions, grasping is an important function for the continuity of daily living activities. The assessment of grip strength is crucial for identifying athletic prowess, neuromuscular illnesses, assessing potential side effects following hand surgery, and treatment plans. It was aimed to examine whether bioimpedance analysis (BIA) and upper extremity anthropometric measurements are effected grip strength in young adults. Material and Methods: The study was conducted on 110 young adults, 55 males and 55 females, aged 18-25 years. Individuals with a history of trauma, musculoskeletal problems, and cardiac, respiratory, metabolic, or systemic diseases were not included in the study. Non-flexible tape measure, Harpenden anthropometric set, digital caliper, hand dynamometer, and skinfold caliper were used for anthropometric measurements. Body fat percentage and lean body mass, muscle mass, basal metabolic rate, and total body fluid parameters were investigated by bioelectrical impedance measurement. Three measurements were taken to reduce the error rate, and the average of these measurements was considered. Results: Excluding arm circumference, forearm length, and wrist circumference from anthropometric measurements, and mineral from BIA parameters; anthropometric measurements and BIA results were found to be statistically significantly correlated with grip strength. Conclusion: Upper extremity anthropometric measurements and BIA were associated with grip strength and varied according to gender. Significant correlations were found between grip strength with most of the anthropometric parameters and BIA.

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Section: Discussionmentioning

confidence: 94%

The Effects of Bioimpedance Analysis Results and Upper Extremity Anthropometric Measurements on Grip Strength in Young Adults

DEMİRDÖĞEN

Ulcay

GORGULU

et al. 2023

Düzce Tıp Fakültesi Dergisi

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“…The results of this study did not show associations between physical performance tests and SMI. Although these tests have been considered reliable in examining musculoskeletal functions, a plausible explanation would be the fact that several studies have shown that the amount of muscle mass does not necessarily correspond to its functionality (Newman et al 2006, Loenneke 2019) and that there are other factors that can influence muscle strength: a diversity of neurophysiological processes beyond muscle size, such as neuronal adaptations to different load resistance training (Jenkins et al 2017), and the type of muscle fibers and body proportions, that could also have significant and independent effects on muscle strength (Enoka 1988, Schoenfeld et al 2019, Seethamma et al 2019. Our results are similar to those of a recent study aimed at comparing the associations of Body Mass Index (BMI) and SMI by BIA (among others) with the HGST, walking speed and SPPB of 428 elderly people aged 75 to 96 years at risk or suffering from sarcopenia.…”

Section: Discussionmentioning

confidence: 99%

Bioelectrical impedance analysis and dual x-ray absorptiometry agreement for skeletal muscle mass index evaluation in sarcopenia diagnosis

et al. 2020

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Background: All definitions for diagnosing sarcopenia include the estimation of muscle mass. This can be made using bioelectrical impedance analysis (BIA) or dual x-ray absorptiometry (DXA). BIA is a portable and inexpensive method suitable for clinical settings, while DXA is cumbersome, more expensive and less available. Objectives: To evaluate the interchangeability of both techniques for skeletal muscle mass index (SMI) estimation, and assess whether the two methods are comparable for the diagnosis of sarcopenia. Approach: Prospective, cross-sectional study. Setting: Faculty for Health Sciences, Universidad de Caldas, Colombia. Participants: Seventy-two subjects aged 65–80 years were recruited. Measurements: BIA and DXA for SMI estimation and sarcopenia diagnoses using the definition of the European Working Group on Sarcopenia in Older People (EWGSOP). Of the 72 patients, 28 were diagnosed with sarcopenia by BIA and corroborated by DXA were included in the study. To establish the agreement between techniques, the intraclass correlation coefficient and the concordance correlation coefficient were calculated. A Bland–Altman plot evaluated the agreement. To evaluate agreement on the diagnosis of sarcopenia, a Cohen’s kappa test was performed. Main results: Agreement between SMI by BIA and DXA was good according to the intraclass correlation coefficient (ICC 0.7 95% CI 0.5 to 0.8) but poor when the concordance correlation coefficient was used (CCC 0.4 was calculated 95% CI 0.3 to 0.5). The Bland–Altman analysis showed a clinically unacceptable discrepancy between the methods; the confidence intervals were too wide; the difference between methods tends to get larger as the average increases and the scatter around the bias line get larger as the average gets higher. Cohen’s kappa test was 0.2 (SEE: 0.1). Significance: The agreement between BIA and DXA was weak. We concluded that, in this studied population, the methods were not interchangeable. Results may improve if a specific formula in a greater sample size is used.

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“…Study Participants: Study participants (both male and female) who attended the different medical camps conducted by the doctor's community program for 3 months (January 2019 to April 2019), in Kerala were selected for the observational field study (Non-interventional) 14,15 . Study participants from age 12 to 70, with the willingness to participate, were recruited after getting verbal consent.…”

Section: Materials and Methods: Type Of Study: Diagnostic Accuracy St...mentioning

confidence: 99%

“…Those with any history of arm, forearm, wrist and fingers fracture, nerve injury, or surgical history of upper limb were excluded from the study 15 .…”

Section: Materials and Methods: Type Of Study: Diagnostic Accuracy St...mentioning

confidence: 99%

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2022

IJPSR

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Maṇikkaṭai-nūl (MK) is an exclusive diagnostic method particular to Siddha Medicine, where the subject's Finger breadths (FB) calculated from the Antebrachial circumference (ABC) is accessed for predicting the symptom, disease, or the pathological sequence. The present observational field studies (Study 1 & 2) aim to validate the clinical significance of MK as a reliable diagnostic tool. True positive (T+), False positive (F+) and False negative (F-) predictions were evaluated in study 1 (n=116). Three divisional trials were done in study 2 that assessed the correlation of MK readings with Antebrachial circumference (ABC) (n 1 =117), ABC, total fingerbreadth (TFB) (n 2 =27), and Body Mass Index (BMI), and ABC. (n3=23). Pearson correlation analysis was used to determine the association between different parameters based on a 95% confidence interval. The differences were considered significant at a P-value of <0.05. A Scatter plot was used to study the pattern of association. From the study (n =116), the T+ cases were 97 (83.62 %) and 16 cases (13.79%) were not relevant (F+ & F-). For the second study (n=167), based on Pearson Correlation, there was statistically significant linear relationship between ABC and MK (n 1 =117) and moderate (.5 < | r | < .7) association between TFB & ABC. In study (n 3 =23), a statistically significant linear relationship in the three combinations, i.e., between BMI & ABC (r =0.690, P<0.001), BMI& MK (r=0.742, P<0.001) and ABC & MK (r=.666, P=0.001) were observed. The studies validated the clinical reliability of MK. INTRODUCTION:The treatise of Maṇikkaṭai-nūl (MK) is an exclusive diagnostic entity particular to Traditional Siddha Medicine (TSM), where the subject's Finger breadths (FB) are accessed for predicting the disease, symptoms, or the pathological sequence 1 .

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Correlation of Forearm Circumference and Hand Length with Grip Strength in Healthy Young Adults

Cited by 7 publications

References 19 publications

The Effects of Bioimpedance Analysis Results and Upper Extremity Anthropometric Measurements on Grip Strength in Young Adults

The Effects of Bioimpedance Analysis Results and Upper Extremity Anthropometric Measurements on Grip Strength in Young Adults

Bioelectrical impedance analysis and dual x-ray absorptiometry agreement for skeletal muscle mass index evaluation in sarcopenia diagnosis

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