An evaluation of gender, obesity, age and diabetes mellitus as risk factors for carpal tunnel syndrome

2002 ◽  
Vol 113 (9) ◽  
pp. 1429-1434 ◽  
Author(s):  
Jefferson Becker ◽  
Daniel B Nora ◽  
Irenio Gomes ◽  
Fernanda F Stringari ◽  
Rafael Seitensus ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Carpal Tunnel Syndrome ◽  
Carpal Tunnel ◽  
Tunnel Syndrome

Risk factors for return with a second trigger digit

2012 ◽  
Vol 39 (7) ◽  
pp. 704-707 ◽  
Author(s):  
S. Ferree ◽  
V. Neuhaus ◽  
S. J. E. Becker ◽  
J. B. Jupiter ◽  
C. S. Mudgal ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Type 1 Diabetes ◽  
Carpal Tunnel Syndrome ◽  
Type 1 Diabetes Mellitus ◽  
Carpal Tunnel ◽  
Syndrome Type ◽  
Tunnel Syndrome

The purpose of this study was to determine predictors of return to the same practice with a second idiopathic trigger digit. A total of 2234 patients with Quinnell grade 2 or greater (objective triggering) of one or more digits were retrospectively analysed. A total of 490 of 2234 (22%) patients returned to the same practice with a second trigger digit, with an average follow-up time of 2.1 years (range, 7 days to 10 years). Predictors of return with a second trigger digit included carpal tunnel syndrome, Type 1 diabetes mellitus and duration of follow-up in years. Patients diagnosed with idiopathic trigger digit can be advised that about one in five will return to the same practice with another trigger digit, with approximately double the risk in patients that have carpal tunnel syndrome or Type 1 diabetes.

scholarly journals Identification of Common Risk Factors Associated with Carpal Tunnel Syndrome

2013 ◽  
Vol 29 (2) ◽  
pp. 70-78
Author(s):  
MD Nahidul Islam ◽  
Mohammad Shah Jahirul Hoque Chowdhury ◽  
MD Tauhidul Islam Chowdhury ◽  
Ahmed Hossain Chowdhury ◽  
Mahmudul Islam ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Diabetes Mellitus ◽  
Risk Factors ◽  
Carpal Tunnel Syndrome ◽  
Carpal Tunnel ◽  
Factors Associated ◽  
Group I ◽  
Tunnel Syndrome ◽  
Common Risk Factors ◽  
Group Ii

Objective: To identify the common risk factors associated with carpal tunnel syndrome. Methodology:This case-control observational study was conducted in the department of neurology and medicine, DMCH from May 2010 to April 2011 for a duration of 1 year. The study included purposively selected 80 persons. Patients attending the outdoor and admitted in indoor of department of neurology and medicine, DMCH with a clinically suspected CTS and established by electrophysiological parameters selected as cases (group –I) . Healthy volunteers and subjects who were devoid of any features of CTS but having history with isolated injury to the lower limb nerve and isolated facial nerve palsy with normal electrophysiological parameters selected as control (group –II). Data were collected by interview of the patients, clinical examination and laboratory investigations using the research instrument. Result: The mean age was 42.7±9.8 years with range from 24 to 64 years and 41.1±9.1 years with range from 26 to 61 years in group-I and group-II respectively. The proportion of male and female patients was similar in both the study groups. Male Female ratio was 1: 7 in both groups. In this study it was observed that hypothyroidism was found 25.0% in group I and 5.0% in group II, which was significantly (p<0.05) higher in carpal tunnel syndrome patients. Diabetes mellitus was significantly higher in carpal tunnel syndrome patients, which was 22.5% in group I and 7.5% in group II. Rheumatoid arthritis was found 20.0% in group I and 5.0% in group II, which was significantly (p<0.05) higher in patients with carpal tunnel syndrome. Pregnancy was found 11.4% in group I and 2.9% in group II. CKD with hemodialysis was found 17.5% and 7.5% in group I and group II respectively. In pregnancy and CKD with hemodialysis difference was not statistically significant (p>0.05) among the two groups. Regarding obesity it was found in this present series that 42.5% and 17.5% patients were obese in group I and group II respectively. Obesity was significantly (p<0.05) higher in patients with carpal tunnel syndrome. In this study it was found in multivariate analysis that patients with hypothyroidism 1.28 times, DM 2.20 times, RA disease 3.84 times, obesity 5.9 times more likely to be associated with carpal tunnel syndrome but CKD with hemodialysis patients and pregnancy were not significantly associated in multivariate analysis. In this study it was also found that almost a half (47.5%) of the patients was housewives followed by garment workers (27.5%) and clerical workers (22.5%) in group I, which indicates that carpal tunnel syndrome was more common among housewives. Conclusion: A conclusion can be made from the above mentioned result that CTS is multifactorial. Obesity, diabetes mellitus, hypothyroidism and rheumatoid arthritis are commonly associated with carpal tunnel syndrome. Moreover female sex and age were also associated with CTS. This study also found that patients diagnosed as having work-related CTS have a high prevalence of concurrent medical conditions capable of causing CTS without respect to any particular occupation. Bangladesh Journal of Neuroscience 2013; Vol. 29 (2) : 70-78

Clinical Update: Understanding Causation: An Example Using Carpal Tunnel Syndrome

2007 ◽  
Vol 12 (6) ◽  
pp. 5-8 ◽  
Author(s):  
J. Mark Melhorn
Keyword(s):  
Risk Factors ◽  
Carpal Tunnel Syndrome ◽  
Carpal Tunnel ◽  
Legal Responsibility ◽  
Medical Evidence ◽  
Anatomic Structure ◽  
Legal Professionals ◽  
Compensation Systems ◽  
Tunnel Syndrome ◽  
Four Levels

Abstract Medical evidence is drawn from observation, is multifactorial, and relies on the laws of probability rather than a single cause, but, in law, finding causation between a wrongful act and harm is essential to the attribution of legal responsibility. These different perspectives often result in dissatisfaction for litigants, uncertainty for judges, and friction between health care and legal professionals. Carpal tunnel syndrome (CTS) provides an example: Popular notions suggest that CTS results from occupational arm or hand use, but medical factors range from congenital or acquired anatomic structure, age, sex, and body mass index, and perhaps also involving hormonal disorders, diabetes, pregnancy, and others. The law separately considers two separate components of causation: cause in fact (a cause-and-effect relationship exists) and proximate or legal cause (two events are so closely related that liability can be attached to the first event). Workers’ compensation systems are a genuine, no-fault form of insurance, and evaluators should be aware of the relevant thresholds and legal definitions for the jurisdiction in which they provide an opinion. The AMA Guides to the Evaluation of Permanent Impairment contains a large number of specific references and outlines the methodology to evaluate CTS, including both occupational and nonoccupational risk factors and assigning one of four levels of evidence that supports the conclusion.

scholarly journals Prevalence and risk factors of self-reported wrist and hand symptoms and clinically confirmed carpal tunnel syndrome among office workers in China: a cross-sectional study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Beibei Feng ◽  
Kedi Chen ◽  
Xiaoxia Zhu ◽  
Wing-Yuk Ip ◽  
Lars L. Andersen ◽  
...  
Keyword(s):  
Risk Factors ◽  
Carpal Tunnel Syndrome ◽  
Carpal Tunnel ◽  
Computer Use ◽  
Office Workers ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Work Related ◽  
Tunnel Syndrome ◽  
Hand Symptoms

Abstract Background Carpal tunnel syndrome (CTS) is a common cause of pain, numbness and tingling in the wrist and hand region and is associated with repetitive wrist and hand use in office workers. However, scarce knowledge exists about the epidemiology of clinically confirmed CTS among Chinese office workers. This study aimed to investigate the prevalence of wrist/hand symptoms and CTS in office workers in China and to identify associated risk factors. Methods A cross-sectional survey was carried out in a metropolitan city in China involving 969 respondents (aged 17–49 years) from 30 workplaces. A questionnaire was distributed to each participant to collect their demographic, work-related physical and psychosocial factors, and wrist and hand symptoms. The wrist and hand pain/numbness symptoms were marked on a body chart and the nature and intensity of symptoms, nocturnal symptoms, as well as aggravating activities were also recorded. Clinically confirmed CTS cases were screened based on the history, Phalen’s test, Tinel Sign and skin sensation testing among symptomatic respondents. Logistic regression was employed to estimate the odds ratio (OR) and 95% confidence interval (95% CI) for the occurrence of self-reported wrist and hand symptoms and clinically confirmed CTS. Results The clinically confirmed CTS prevalence was 9.6%. The prevalence of wrist and hand symptoms were 22 and 15%, respectively. Frequently working in pain was associated with higher odds of CTS. Multivariate modelling adjusted for age and gender showed that prolonged computer use time and working without breaks were associated with presence of wrist/hand symptoms (adjusted ORs: 1.11 (95% CI 1.02–1.22) and 1.88 (95% CI 1.12–3.14)). Educational level was inversely associated with CTS and smoking was associated with wrist/hand complaints (adjusted OR: 2.20 (95% CI 1.19–4.07)). Conclusions The prevalence of work-related clinically confirmed CTS symptoms among young office workers in China is high. Frequently working in pain is closely associated with clinically confirmed CTS. Intense computer use and no breaks at work are associated with wrist and hand symptoms.

Dupuytren's disease, carpal tunnel syndrome, trigger finger, and diabetes mellitus

1995 ◽  
Vol 20 (1) ◽  
pp. 109-114 ◽  
Author(s):  
Michel Chammas ◽  
Philippe Bousquet ◽  
Eric Renard ◽  
Jean-Luc Poirier ◽  
Claude Jaffiol ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Carpal Tunnel Syndrome ◽  
Carpal Tunnel ◽  
Dupuytren’S Disease ◽  
Trigger Finger ◽  
Dupuytren's Disease ◽  
Tunnel Syndrome

Personal and workplace psychosocial risk factors for carpal tunnel syndrome: a pooled study cohort: author response

2014 ◽  
Vol 71 (4) ◽  
pp. 303.2-304 ◽  
Author(s):  
Carisa Harris-Adamson ◽  
Ellen Christoph Eisen ◽  
Ann Marie Dale ◽  
Bradley Evanoff ◽  
Kurt T Hegmann ◽  
...  
Keyword(s):  
Risk Factors ◽  
Carpal Tunnel Syndrome ◽  
Carpal Tunnel ◽  
Psychosocial Risk Factors ◽  
Psychosocial Risk ◽  
Author Response ◽  
Study Cohort ◽  
Tunnel Syndrome

The impact of gender on personal, health and workplace psychosocial risk factors for carpal tunnel syndrome

2013 ◽  
Vol 57 (1) ◽  
pp. 2167-2170
Author(s):  
Carisa Harris-Adamson ◽  
Ellen A Eisen ◽  
Ann Marie Dale ◽  
Bradley Evanoff ◽  
Kurt T. Hegmann ◽  
...  
Keyword(s):  
Risk Factors ◽  
Carpal Tunnel Syndrome ◽  
Carpal Tunnel ◽  
Psychosocial Risk Factors ◽  
Psychosocial Risk ◽  
Personal Health ◽  
Tunnel Syndrome ◽  
The Impact

The Most Important Risk Factors for Carpal Tunnel Syndrome

2021 ◽  
Author(s):  
Ali Asghar Sharifi
Keyword(s):  
Risk Factors ◽  
Carpal Tunnel Syndrome ◽  
Carpal Tunnel ◽  
Clinical Symptoms ◽  
Normal Subjects ◽  
Shape Index ◽  
Mean Values ◽  
Tunnel Syndrome ◽  
Independent Risk Factors ◽  
Hand Length

Background: The aim of this study was to determine the risk factors for carpal tunnel syndrome and its relationship with the severity of the disease. Methods: A total of 131 patients with clinical symptoms of CTS and 131 normal subjects were enrolled, of whom 121 were female both in the CTS cases and the controls. All cases were electro diagnostically confirmed and assigned to three severity groups. BMI, wrist ratio, shape index, digit index and hand length/height ratio were measured in all participants. Mean values for each item were compared between cases and controls and severity subgroups. A logistic regression analysis was performed to determine independent CTS risk factors. Results: The mean values of BMI, wrist ratio and shape index were significantly higher in all CTS patients and females compared to controls, whereas in males only BMI and wrist ratio were higher. The patients in the mild severity subgroup had a significantly lower age and wrist ratio. BMI, wrist ratio and shape index were found to be independent risk factors of CTS development in all patients and females. Conclusion: Our study showed BMI, wrist ratio and shape index as independent risk factors for CTS. These findings are important anatomically and clinically and these are the risk factors of anatomical malfunction of the wrist in CTS.

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