TY - GEN
T1 - A normative database of neck muscular strength and endurance capacity
AU - Chowdhury, Suman K.
AU - Zhou, Yu
AU - Reddy, Curran P.
AU - Byrne, Ryan M.
AU - Zhang, Xudong
N1 - Publisher Copyright:
© 2018 Human Factors an Ergonomics Society Inc.. All rights reserved.
PY - 2018
Y1 - 2018
N2 - The present study aimed to establish a normative database of the neck muscular strength and the endurance capacity of a healthy population and to explore effects of neck posture, time-of-day (i.e., diurnal variation), and personal characteristics, such as age, sex, and body mass index on neck strength and endurance capacity during sustained-till-exhaustion maximal neck exertions. The multiple regression analyses revealed that sex and neck posture were significant predictors of neck strength, whereas time-of-day and age were significant predictors of neck endurance capacity.
AB - The present study aimed to establish a normative database of the neck muscular strength and the endurance capacity of a healthy population and to explore effects of neck posture, time-of-day (i.e., diurnal variation), and personal characteristics, such as age, sex, and body mass index on neck strength and endurance capacity during sustained-till-exhaustion maximal neck exertions. The multiple regression analyses revealed that sex and neck posture were significant predictors of neck strength, whereas time-of-day and age were significant predictors of neck endurance capacity.
UR - http://www.scopus.com/inward/record.url?scp=85072750652&partnerID=8YFLogxK
U2 - 10.1177/1541931218621195
DO - 10.1177/1541931218621195
M3 - Conference contribution
AN - SCOPUS:85072750652
T3 - Proceedings of the Human Factors and Ergonomics Society
SP - 858
EP - 859
BT - 62nd Human Factors and Ergonomics Society Annual Meeting, HFES 2018
PB - Human Factors and Ergonomics Society Inc.
T2 - 62nd Human Factors and Ergonomics Society Annual Meeting, HFES 2018
Y2 - 1 October 2018 through 5 October 2018
ER -