Independent risk factors of carpal tunnel syndrome: Assessment of body mass index, hand, wrist and finger anthropometric measurements

被引:3
|
作者
Mokhtarinia, Hamid Reza [1 ,2 ]
Parsons, Dave [3 ,4 ]
Bain, Carmel R. [5 ,6 ]
Gabel, Charles Philip [7 ]
机构
[1] Univ Social Welf & Rehabil Sci, Dept Ergon, Tehran, Iran
[2] Univ Social Welf & Rehabil Sci, Dept Physiotherapy, Tehran, Iran
[3] Curtin Univ, Curtin Sch Allied Hlth, Perth, WA, Australia
[4] St John God Midland Publ & Private Hosp, Perth, WA, Australia
[5] Rehab Minder, Perth, WA, Australia
[6] Act Hlth Tech, London, England
[7] Coolum Beach, Sunshine Coast, Qld, Australia
关键词
Hand shape; wrist index; carpal tunnel syndrome; BMI; anthropometry; MEDIAN NERVE; RATIO; CIRCUMFERENCE; PREDICTOR; LIGAMENT; GENDER; COHORT;
D O I
10.3233/WOR-210910
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
BACKGROUND: The most prevalent neuropathy in the upper extremity is carpal tunnel syndrome (CTS). A variety of related risk factors such as biomechanical exposures, body mass index (BMI), sex and hand shape are reported to be related to CTS. OBJECTIVE: We aimed to identify the role of BMI, hand, wrist and finger anthropometric dimensions in the development of CTS, and to compare these measured variables between control and CTS participants. METHODS: A cross-sectional, case control study (n = 240, CTS = 120, controls = 120) with participants recruited from a convenience sample diagnosed with CTS and referred for anthropometric measurements. The control participants were matched by age and sex. The body height, weight, hand width, hand length, wrist depth, wrist width, wrist circumference, and finger length were measured. Hand, wrist and finger indices, hand to height ratio, and BMI were calculated. Mean values of all dimensions were compared between cases and controls, and the role of independent risk factors were determined by logistic regression analysis. RESULTS: The mean BMI, age, weight, sex and height were not significant between the two groups. Among the measured dimensions and calculated indices the significantly different variables between two groups were the wrist width, wrist depth, wrist circumference, hand index, hand to height index, and wrist index. Regression analysis showed that the wrist index (beta=-1.7, p = 0.0001), wrist depth (beta=0.25, p = 0.0001) and wrist width (beta=0.21, p = 0.0001) were the strongest factors in CTS development in the sample. CONCLUSION: Wrist parameters have a strong role in predicting the development of CTS, while BMI was not confirmed as an independent risk factor.
引用
收藏
页码:157 / 164
页数:8
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