scholarly journals Reference values for hand grip strength in Japanese community-dwelling elderly: a meta-analysis

2015 ◽  
Vol 20 (6) ◽  
pp. 441-446 ◽  
Author(s):  
Naoto Kamide ◽  
Ryo Kamiya ◽  
Tetsuharu Nakazono ◽  
Masataka Ando
2011 ◽  
Vol 24 (3) ◽  
pp. 567-578 ◽  
Author(s):  
Alex de Andrade Fernandes ◽  
João Carlos Bouzas Marins

INTRODUÇÃO: Diferentes modalidades esportivas utilizam as mãos como importante seguimento corporal envolvido para o desempenho. Entre essas modalidades destacam-se judô, tênis, vela, remo, boxe, levantamento de peso e outras. A força de preensão manual é exigida nessas modalidades específicas, em que o nível de força gerado pode ser o diferencial no desempenho final. A dinamometria manual é um valioso instrumento a ser utilizado na detecção do talento esportivo, no controle do treinamento e na avaliação de recuperação de lesão. OBJETIVOS: O objetivo deste estudo é fazer uma revisão sobre os principais aspectos metodológicos envolvidos na mensuração da força de preensão manual, utilizando o dinamômetro Jamar®, identificando os aspectos relacionados à validade, confiabilidade, precisão, posição para realização do teste, posição da alça, instruções, número de medidas, período de descanso entre as tentativas, duração do tempo de contração, aquecimento pré-teste. MATERIAIS E MÉTODOS: Foi realizado um levantamento para compor uma base de dados de diferentes modalidades olímpicas: coletivas e individuais. Foi realizada uma pesquisa eletrônica da literatura utilizando as bases de dados MEDLINE, SciELO e LILACS, sendo utilizados os seguintes descritores: força de preensão manual, dinamometria manual e, em inglês, hand, grip, strength, dynamometer, Jamar, norms e reference values. CONCLUSÃO: Os valores de força de preensão manual apresentados pelos atletas diferem de acordo com a modalidade, sexo, peso corporal, nível do atleta, idade e tipo de treinamento. A força de preensão manual deve estar presente nas baterias de testes para identificação de possíveis talentos esportivos.


PLoS ONE ◽  
2018 ◽  
Vol 13 (4) ◽  
pp. e0195485 ◽  
Author(s):  
Chung Reen Kim ◽  
Young-Jee Jeon ◽  
Moon Chan Kim ◽  
Taeheum Jeong ◽  
Woo Ram Koo

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Robbert J. J. Gobbens ◽  
Marcel A. L. M. van Assen

Frailty is a predictor of disability. A proper understanding of the contribution of individual indicators of frailty in the prediction of disability is a requisite for preventive interventions. The aim of this study was to determine the predictive power of the individual physical frailty indicators: gait speed, physical activity, hand grip strength, Body Mass Index (BMI), fatigue, and balance, for ADL and IADL disability. The sample consisted of 505 community-dwelling persons (≥75 years, response rate 35.1%). Respondents first participated between November 2007 and June 2008, and a subset of all respondents participated again one year later (N=264, 52.3% response rate). ADL and IADL disability were assessed by the Groningen Activity Restriction Scale. BMI was assessed by self-report, and the other physical frailty indicators were assessed with the TUG test (gait speed), the LAPAQ (physical activity), a hand grip strength test, the SFQ (fatigue), and the Four-test balance scale. All six physical frailty indicators were associated with ADL and IADL disability. After controlling for previous disability, sociodemographic characteristics, self-perceived lifestyle, and chronic diseases, only gait speed was predictive of both ADL and IADL disability, whereas there was a small effect of fatigue on IADL disability. Hence, these physical frailty indicators should be included in frailty assessment when predicting future disability.


2021 ◽  
Vol 3 (2) ◽  
pp. 78-82
Author(s):  
Bhakti Gorhe ◽  
Dr. Shyam Ganvir(PT)

ABSTRACT: - Aim of the study is to find out the influence of low, medium and high body mass index on hand grip strength among community dwelling elderly population. Methodology: - This was an observational cross-sectional study performed on 30 community dwelling elderly population with age groups 60 and above 60. Out of total 30 participants 8 were having low BMI, 9 were having medium BMI and 13 were having high BMI. BMI was calculated by taking weight (in kg) by using weighing machine and height in (meters). Hand grip strength was measured by using hand held (JAMER) dynamometer. Result: - Data has summarized by using descriptive statistic of mean and standard deviation. Then Pearson correlation test was used to measure relation between hand grip strength and BMI.ANOVA technique was used for multiple group comparison by using graph pad software. By using Pearson corelation we got the result that there is positive corelation between High BMI with HGS and negative corelation between HGS with low and medium BMI. By using one-way ANOVA test we got (p value>0.05) which is non-significant. One way ANOVA shows comparison of hand grip strength of low, medium and high BMI and it is like H>M>L for both dominant and non-dominant. CONCLUSION: - Our study concludes from the above result that there is corelation between Hand grip strength and body mass index.


2021 ◽  
Vol 11 (14) ◽  
pp. 6527
Author(s):  
Ae-Ryoung Kim ◽  
Dougho Park ◽  
Yang-Soo Lee

This study examined the reliability of the newly developed ground reaction force asymmetry index (GRF AI) at seat-off using a low-cost force plate and the validity of this new test by comparing it with other muscle strength-measuring methods and walking speed. This study was a cross-sectional design in general hospital setting. A convenience sample of 47 community-dwelling adults aged ≥40 years was performed. GRF AI is the measurement value obtained by shifting the weight to the right and left while performing sit-to-stand (STS). GRF AI assessed using GRF data at seat-off during an STS test with maximal weight shift to the right and left side and repeated 4 weeks later. Hip and knee extensor strength were measured using hand-held dynamometry; hand grip strength and walking speed were measured using a standardized method. Intrasessional intrarater reliability of the right and left side at Sessions 1 and 2 were high (intraclass correlation coefficients [ICC] = 0.947 and 0.974; 0.931 and 0.970, respectively). In addition, the intersessional intrarater reliability of a single test trial (ICC = 0.911 and 0.930) and the mean of three test trials (ICC = 0.965 and 0.979) was also high. There was a low correlation between right-side GRF AI and right hand grip strength (r = 0.268) and between left-side GRF AI and left hand grip strength (r = 0.316). No significant correlations were found between the GRF AI and other parameters. Although the reliability of the GRF AI was high, the validity was poor. To be clinically useful, this test should be further refined by modifying the test protocol.


Nutrients ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 1598
Author(s):  
Yongjae Kim ◽  
Sungjae Shin ◽  
Namki Hong ◽  
Yumie Rhee

This study assessed the association between serum vitamin E levels and hand grip strength (HGS) in community-dwelling adults data of 1011 men aged 50 years and older and 1144 postmenopausal women were analyzed. Low HGS was defined as HGS below the sex-stratified median value. Proportion of low HGS was the greatest in the lowest quintile of serum vitamin E level (<10.51 mg/L, 57.1%), with a decreasing trend toward the highest vitamin E quintile (>17.81 mg/L, 43.6%; p < 0.001). A one-unit (mg/L) decrease in vitamin E levels was associated with lower HGS in men (adjusted beta coefficient −0.10, 95% confidence interval [CI] −0.18 to −0.02, p = 0.019), but not in women (−0.01, 95% CI −0.06 to 0.03, p = 0.550). Compared with the middle quintile (Q3; 12.59–14.69 mg/L), the lowest vitamin E quintile (Q1) was associated with elevated odds of low HGS (adjusted odds ratio [aOR]: 1.38, p = 0.045), independent of sociodemographic factors, health-related lifestyles, comorbidities, dietary intake, and cholesterol level. However, the odds of low HGS did not differ significantly in other vitamin E quintiles (Q2, aOR 1.12; Q4, aOR 1.38; Q5, aOR 1.12; p > 0.05). Individuals with the lowest quintile vitamin E level had elevated odds of low HGS independent of covariates, findings which merit further validation.


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