scholarly journals A Review of Carpal Tunnel Syndrome and Its Association with Age, Body Mass Index, Cardiovascular Risk Factors, Hand Dominance, and Sex

2020 ◽  
Vol 10 (10) ◽  
pp. 3488 ◽  
Author(s):  
Melissa Airem Cazares-Manríquez ◽  
Claudia Camargo Wilson ◽  
Ricardo Vardasca ◽  
Jorge Luis García-Alcaraz ◽  
Jesús Everardo Olguín-Tiznado ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Body Mass Index ◽  
Carpal Tunnel Syndrome ◽  
Respiratory Rate ◽  
Carpal Tunnel ◽  
Abdominal Circumference ◽  
Cardiac Rate ◽  
Tunnel Syndrome ◽  
The Relationship

Carpal tunnel syndrome (CTS) is one of the most common compressive, canalicular neuropathies of the upper extremities, causing hand pain and impaired function. CTS results from compression or injury of the median nerve at the wrist within the confines of the carpal tunnel. Parameters such as age, sex, and body mass index (BMI) could be risk factors for CTS. This research work aimed to review the existing literature regarding the relationship between CTS and possible risk factors, such as age, sex, BMI, dominant hand, abdominal circumference, respiratory rate, blood pressure, and cardiac rate to determine which ones are the most influential, and therefore, take them into account in subsequent applied research in the manufacturing industry. We performed a literature search in the PubMed, EBSCO, and ScienceDirect databases using the following keywords: carpal tunnel syndrome AND (age OR sex OR BMI OR handedness OR abdominal circumference OR respiratory rate OR blood pressure OR cardiac rate). We chose 72 articles by analyzing the literature found based on selection criteria. We concluded that CTS is associated with age, female sex, and high BMI. Trends and future challenges have been proposed to delve into the relationship between risk factors and CTS, such as correlation studies on pain reduction, analysis of weight changes to predict the severity of this pathology, and its influence on clinical treatments.

Evaluation of age, body mass index, and wrist index as risk factors for carpal tunnel syndrome severity

2001 ◽  
Vol 25 (1) ◽  
pp. 93-97 ◽  
Author(s):  
Joao A. Kouyoumdjian ◽  
Dirce M.T. Zanetta ◽  
Maria P.A. Morita
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Carpal Tunnel Syndrome ◽  
Body Mass ◽  
Carpal Tunnel ◽  
Tunnel Syndrome

scholarly journals The relationship between body mass index and the diagnosis of carpal tunnel syndrome

1994 ◽  
Vol 17 (6) ◽  
pp. 632-636 ◽  
Author(s):  
Robert A. Werner ◽  
James W. Albers ◽  
Alfred Franzblau ◽  
Thomas J. Armstrong
Keyword(s):  
Body Mass Index ◽  
Carpal Tunnel Syndrome ◽  
Body Mass ◽  
Carpal Tunnel ◽  
Tunnel Syndrome ◽  
The Relationship

scholarly journals The Assessment of Musculoskeletal Disorders of Pregnancy

2021 ◽  
Author(s):  
Ahmadreza Afshar ◽  
Ali Tabrizi ◽  
Vahid Bagheri ◽  
Amin Sedokani
Keyword(s):  
Body Mass Index ◽  
Back Pain ◽  
Carpal Tunnel Syndrome ◽  
Pregnant Women ◽  
Musculoskeletal Disorders ◽  
Carpal Tunnel ◽  
P Value ◽  
Tunnel Syndrome ◽  
The Mean ◽  
The Relationship

Abstract Background Almost all women experience some degree of musculoskeletal disorder during pregnancy, and almost a quarter of them develop at least temporarily musculoskeletal disorders during pregnancy. The most common of which is lower back pain, which affects half of all pregnant women. In this study, we aimed to determine the prevalence of musculoskeletal disorders caused by pregnancy in women referred to Motahari Hospital of Urmia. Methods The present study is a cross-sectional study in which 344 pregnant patients referred to Motahari and Imam Hospitals of Urmia during 2020 were studied. The demographic factors and pregnancy characteristics of patients were recorded and evaluated. Patients were also questioned and examined using a questionnaire. The relationship between demographic factors and the frequency of various skeletal abnormalities was investigated. Results The mean age of patients and the mean gestational age were 27 ± 4.76 years and 22 ± 3.4 weeks, respectively. The analysis of the relationship between age, gravid and parity of pregnant women with the prevalence of complaints and clinical examination findings, indicated women with gravid 4 or more had more complaints of back pain (p-value = 0.021). It was also found that there is a statistical relationship between the increase in body mass index of patients and the frequency of wrist pain and carpal tunnel syndrome in the study population (p-value = 0.03). Conclusions The present study indicated the rate of musculoskeletal complaints of patients and pathological factors such as lumbar hyperlordosis in women with higher gravidity is higher than other groups of pregnant women. Larger body mass index is associated with more wrist pain and carpal tunnel syndrome.

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.

Haematocrit: Relationships with Blood Lipids, Blood Pressure and other Cardiovascular Risk Factors

1994 ◽  
Vol 72 (01) ◽  
pp. 058-064 ◽  
Author(s):  
Goya Wannamethee ◽  
A Gerald Shaper
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Blood Pressure ◽  
Body Mass Index ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Alcohol Intake ◽  
Blood Lipids ◽  
The Other ◽  
The Relationship

SummaryThe relationship between haematocrit and cardiovascular risk factors, particularly blood pressure and blood lipids, has been examined in detail in a large prospective study of 7735 middle-aged men drawn from general practices in 24 British towns. The analyses are restricted to the 5494 men free of any evidence of ischaemic heart disease at screening.Smoking, body mass index, physical activity, alcohol intake and lung function (FEV1) were factors strongly associated with haematocrit levels independent of each other. Age showed a significant but small independent association with haematocrit. Non-manual workers had slightly higher haematocrit levels than manual workers; this difference increased considerably and became significant after adjustment for the other risk factors. Diabetics showed significantly lower levels of haematocrit than non-diabetics. In the univariate analysis, haematocrit was significantly associated with total serum protein (r = 0*18), cholesterol (r = 0.16), triglyceride (r = 0.15), diastolic blood pressure (r = 0.17) and heart rate (r = 0.14); all at p <0.0001. A weaker but significant association was seen with systolic blood pressure (r = 0.09, p <0.001). These relationships remained significant even after adjustment for age, smoking, body mass index, physical activity, alcohol intake, lung function, presence of diabetes, social class and for each of the other biological variables; the relationship with systolic blood pressure was considerably weakened. No association was seen with blood glucose and HDL-cholesterol. This study has shown significant associations between several lifestyle characteristics and the haematocrit and supports the findings of a significant relationship between the haematocrit and blood lipids and blood pressure. It emphasises the role of the haematocrit in assessing the risk of ischaemic heart disease and stroke in individuals, and the need to take haematocrit levels into account in determining the importance of other cardiovascular risk factors.

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.

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
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