Grip and Arm Strength in Males and Females, Age 10 to 69

Montoye, Henry J.; Lamphiear, Donald E.

doi:10.1080/10671315.1977.10762158

Cited by 45 publications

(34 citation statements)

References 2 publications

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“…The following changes have been reported to occur to walking with the progression of age: walking speed (Murray et al, 1969(Murray et al, , 1970, the ratio of single leg and double leg support times in total contact time, step length, and joints angles of hips, knees, and ankles (Larish et al, 1988;Kaneko et al, 1991). Leg strength and balance ability have been regarded as the main factors related to a decrease in walking ability in the elderly (Montoye and Lamphiear, 1977;Murray et al, 1985;Frontera et al, 1991). Hence, the decrease of leg strength with age may have a large influence on gait.…”

Section: Introductionmentioning

confidence: 99%

Relationship among Gait Parameters while Walking with Varying Loads

Demur

Demura

2010

J Physiol Anthropol

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This study aimed to clarify the relationships between loads and gait changes and among gait parameters while walking with various loads. Fifteen healthy young male adults (mean age: 22.1Ϯ1.6 years) walked with four kinds of loads based on each subject's body mass (0, 20, 40, and 60% of body mass: BM) on his back. Walking speed, cadence, stance time, swing time, double support time, step length, step width, walking angle, and toe angle were selected as gait parameters.Walking speed, cadence, stance time, and double support time changed significantly with loads. The walking speed showed significant correlations with the swing time at 0% BM (rϭϪ0.64) and the walking angle at 60% BM (rϭϪ0.52). Significant correlations were found between swing time and double support time at 0, 20, and 40% BM (rϭ0.53-0.63) and between walking speed and step length at 40 and 60% BM (rϭϪ0.61, Ϫ0.67).In conclusion, walking with loads produces large gait changes. The relationship between swing time, double support time, and walking speed, as well as between walking angle, step length, and walking speed changes greatly with loads. These changes may occur in order to maintain a stable posture

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Section: Introductionmentioning

confidence: 99%

Relationship among Gait Parameters while Walking with Varying Loads

Demur

Demura

2010

J Physiol Anthropol

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“…La fuerza máxima de agarre manual aumenta rápidamente hasta los 20 años, y su pico máximo se sitúa entre los 20 y los 30 años, manteniéndose hasta alrededor de los 39 años 10,14 . A partir de esta edad la fuerza disminuye con la edad 10,14,15 .…”

Section: Discussionunclassified

“…A partir de esta edad la fuerza disminuye con la edad 10,14,15 . Nuestras poblaciones presentan un rango de edad de 21 a 43 años, por lo que se encuentran en el estadio en el que se desarrolla dicha máxima fuerza.…”

Section: Discussionunclassified

Fuerza máxima y resistencia muscular de agarre manual en regatistas de vela ligera de la clase Tornado

Vallejo

Rosique

Ros

et al. 2007

Apunts. Medicina de l'Esport

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“…There is substantial evidence in the literature indicating higher preponderance of poor HGS among females compared with males (24)(25)(26)(27)(28). However, the determinants and predictors of the higher predilection for poor HGS among females seem to have been inadequately explored.…”

Section: Introductionmentioning

confidence: 99%

Hand Grip Strength in Pregnant and Non-Pregnant Females

Mbada

Adeyemi

Omosebi

et al. 2015

Middle East J Rehabil Health

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Background:Hand Grip Strength (HGS) is a predictor of upper extremity function, and changes in muscles strength and physical function and capabilities to undertake activities of daily living. Despite toll of pregnancy on musculoskeletal system, assessment of HGS in antenatal care is not a routine practice yet. Objectives: The current study aimed to compare HGS in pregnant and non-pregnant females and also investigated the correlation of HGS among the groups. Patients and Methods: The current case control study included 174 females (87 pregnant and age-matched non-pregnant controls respectively). HGS was assessed using a hand held Jamar dynamometer. Body adiposity was assessed by a Bioelectric Impedance Analysis machine. Data were analyzed using descriptive and inferential statistics at P < 0.05. Results:The results showed that the pregnant and non-pregnant subjects could be compared regarding the age (29.7 ± 5.3 vs. 28.2 ± 5.8 years; P = 0.440). There was significant difference in dominant HGS (26.8 ± 8.9 vs. 29.3 ± 7.1 kgf; P = 0.044) and non-dominant HGS (24.7 ± 8.5 vs. 28.6 ± 8.4 kgf; P = 0.002) between pregnant and non-pregnant subjects, respectively. Physical characteristics weakly correlated with HGS for both dominant and non-dominant hands [correlation (r) ranges from 0.00 -0.250]. Measures of adiposity significantly correlated with HGS in pregnant and non-pregnant females, respectively (P < 0.05). However, there were significant increases in the measures of adiposity with high parity, gravidity, and advances in stage of pregnancy (P < 0.05). Conclusions:The current study revealed that pregnant females had significantly lower HGS compared with non-pregnant ones. High parity and gravidity and later stage of pregnancy led to significantly lower HGS. Higher level of adiposity led to poorer performance of HGS in females. It is recommended to evaluate HGS in antenatal care, which may have diagnostic and prognostic benefits.

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Grip and Arm Strength in Males and Females, Age 10 to 69

Cited by 45 publications

References 2 publications

Relationship among Gait Parameters while Walking with Varying Loads

Relationship among Gait Parameters while Walking with Varying Loads

Fuerza máxima y resistencia muscular de agarre manual en regatistas de vela ligera de la clase Tornado

Hand Grip Strength in Pregnant and Non-Pregnant Females

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