Handgrip Strength Prediction Formula Using Aneroid Sphygmomanometer in Elderly | Yahin | International Journal of Integrated Health Sciences 832 3091 1 PB
Original Article
Handgrip
Strength
Prediction
Sphygmomanometer in Elderly
Formula
Using
Aneroid
Akhmad Yahin, Marina Annette Moeliono, Marietta Shanti Prananta
Department of Physical Medicine and Rehabilitation, Faculty of Medicine, Universitas Padjajaran-Dr. Hasan
Sadikin General Hospital
Abstract
Objective: To examine the prediction formula used to measure handgrip
strength using aneroid sphygmomanometer in elderly.
Methods: This study was a cross-sectional study performed at the
Department of Physical Medicine and Rehabilitation, Faculty of Medicine,
Universitas Padjadjaran-Dr. Hasan Sadikin General Hospital from March to
April 2015. Thirty five elderly subjects aged 60–74 years were included in
the study. The subject handgrip strength was measured using an aneroid
sphygmomanometer and a Jamar dynamometer.
Results: All data were analyzed statistically using Pearson correlation test
to examine the distributed data and Spearman test to examine the non
distributed data. A significant correlation was found between hand width,
age, and sex and the handgrip strength values using Jamar dynamometer
(p
Handgrip
Strength
Prediction
Sphygmomanometer in Elderly
Formula
Using
Aneroid
Akhmad Yahin, Marina Annette Moeliono, Marietta Shanti Prananta
Department of Physical Medicine and Rehabilitation, Faculty of Medicine, Universitas Padjajaran-Dr. Hasan
Sadikin General Hospital
Abstract
Objective: To examine the prediction formula used to measure handgrip
strength using aneroid sphygmomanometer in elderly.
Methods: This study was a cross-sectional study performed at the
Department of Physical Medicine and Rehabilitation, Faculty of Medicine,
Universitas Padjadjaran-Dr. Hasan Sadikin General Hospital from March to
April 2015. Thirty five elderly subjects aged 60–74 years were included in
the study. The subject handgrip strength was measured using an aneroid
sphygmomanometer and a Jamar dynamometer.
Results: All data were analyzed statistically using Pearson correlation test
to examine the distributed data and Spearman test to examine the non
distributed data. A significant correlation was found between hand width,
age, and sex and the handgrip strength values using Jamar dynamometer
(p