Factors Showing Conflicting Risk of CTS
Limited evidence supports that the following factors have conflicting results regarding the development of carpal tunnel syndrome (CTS):
• Diabetes
• Age
• Gender/Sex
• Genetics
• Comorbid drug use
• Smoking
• Wrist bending
• Workplace
• Diabetes
• Age
• Gender/Sex
• Genetics
• Comorbid drug use
• Smoking
• Wrist bending
• Workplace
Rationale
Diabetes showed a conflicting relationship to CTS development. One high quality study (Armstrong, 2008) did not demonstrate a significant association with CTS. The odds ratio was elevated but there was a wide confidence interval that included a value of 1.0 (OR 2.45, CI: 0.92-6.53). Three moderate quality studies (Becker, 2002; Geoghegan, 2004; Plastino, 2011) found significant associations between diabetes and an increased risk of CTS and one (Coggon, 2013) did not find an association.
Age showed a conflicting relationship to CTS development. Two high quality studies (Armstrong, 2008; Bonfiglioli, 2013) showed increased risk in older workers on a continuous scale. Two other high quality studies (Evanoff, 2014; Garg, 2012) measuring age on a continuous scale showed insignificant results but with slightly increased risk ratios and narrow confidence limits. Two moderate quality studies (Morgenstern, 1991; Shin, 2008) also found a significantly increased risk of CTS when measuring age continuously and one moderate quality study (Silverstein, 1987) found an insignificant relationship. When measured categorically, one high quality study (Hakim, 2002) showed an increasing association at age >46 and one moderate quality study (Violante, 2007) found an increasing association among all categories. Two moderate quality studies (Eleftheriou, 2012; Mondelli, 2006) did not find a significant association between categories of age and CTS development.
Female gender/sex was associated with increased risk of CTS in one high quality (Bonfiglioli, 2013) and three moderate quality studies (Burt, 2011; Eleftheriou, 2012; Violante, 2007), while two high quality (Armstrong, 2008; Evanoff, 2014) and two moderate quality studies (Shin, 2008; Silverstein, 1987) showed no significant association.
Family history/genetics was associated with increased risk of CTS in one high quality (Hakim, 2002) and two moderate quality studies (Bonfiglioli, 2007; Burt 2011), while two moderate quality studies (Nordstrom, 1997; Violante, 2007) showed no significant correlation. The studies used varying diagnostic methods, and two of the studies evaluated female populations, which may have contributed to the conflicting results.
Comorbid drug use showed a conflicting relationship to CTS development. One high quality study (Hakim, 2002) found no association with thyroxine replacement. One moderate quality study (Geoghegan, 2004) reported an increasing risk of CTS with insulin, sulphonyl, or thyroxine. Two moderate quality studies reported no association to CTS when using diuretics (Morgenstern, 1991) or metformin (Geoghegan, 2004).
Smoking had a conflicting relationship to CTS development. Two moderate quality studies (Eleftheriou, 2012; Violante, 2007) found an association of increasing risk, one moderate quality study (Coggon, 2013) found an inverse association, and one moderate quality study (Geoghegan, 2004) found no association.
Wrist bending had a conflicting relationship to CTS development. One high (Armstrong, 2008) and one moderate quality study (De Krom, 1990) showed an increased risk while two moderate quality studies (Dale, 2014; Evanoff, 2012) displayed an insignificant association. One moderate quality study (Nordstrom, 1997) showed an insignificant result with a short duration of wrist bending and an increased risk of CTS with more frequent wrist bending.
Many recent high and moderate quality studies were identified and provide new insights into workplace factors associated with CTS. However, the studies did not consider the relative contributions of personal and work-related factors on CTS, so it is difficult to calculate risk attributable to different risk factors from the data. Some occupational factors and workplace exposures were evaluated by single studies with weak designs or relatively weak exposure assessment methods. The findings from those studies, therefore, did not contribute to the conclusions. Workplace categories include: clerical/office work, industrial, construction, farming, hospital, professional, technical, managerial, sales, skilled trades (agriculture, fabrication, machining, transporter techs, electricians, plumbers, construction), and other jobs.
Age showed a conflicting relationship to CTS development. Two high quality studies (Armstrong, 2008; Bonfiglioli, 2013) showed increased risk in older workers on a continuous scale. Two other high quality studies (Evanoff, 2014; Garg, 2012) measuring age on a continuous scale showed insignificant results but with slightly increased risk ratios and narrow confidence limits. Two moderate quality studies (Morgenstern, 1991; Shin, 2008) also found a significantly increased risk of CTS when measuring age continuously and one moderate quality study (Silverstein, 1987) found an insignificant relationship. When measured categorically, one high quality study (Hakim, 2002) showed an increasing association at age >46 and one moderate quality study (Violante, 2007) found an increasing association among all categories. Two moderate quality studies (Eleftheriou, 2012; Mondelli, 2006) did not find a significant association between categories of age and CTS development.
Female gender/sex was associated with increased risk of CTS in one high quality (Bonfiglioli, 2013) and three moderate quality studies (Burt, 2011; Eleftheriou, 2012; Violante, 2007), while two high quality (Armstrong, 2008; Evanoff, 2014) and two moderate quality studies (Shin, 2008; Silverstein, 1987) showed no significant association.
Family history/genetics was associated with increased risk of CTS in one high quality (Hakim, 2002) and two moderate quality studies (Bonfiglioli, 2007; Burt 2011), while two moderate quality studies (Nordstrom, 1997; Violante, 2007) showed no significant correlation. The studies used varying diagnostic methods, and two of the studies evaluated female populations, which may have contributed to the conflicting results.
Comorbid drug use showed a conflicting relationship to CTS development. One high quality study (Hakim, 2002) found no association with thyroxine replacement. One moderate quality study (Geoghegan, 2004) reported an increasing risk of CTS with insulin, sulphonyl, or thyroxine. Two moderate quality studies reported no association to CTS when using diuretics (Morgenstern, 1991) or metformin (Geoghegan, 2004).
Smoking had a conflicting relationship to CTS development. Two moderate quality studies (Eleftheriou, 2012; Violante, 2007) found an association of increasing risk, one moderate quality study (Coggon, 2013) found an inverse association, and one moderate quality study (Geoghegan, 2004) found no association.
Wrist bending had a conflicting relationship to CTS development. One high (Armstrong, 2008) and one moderate quality study (De Krom, 1990) showed an increased risk while two moderate quality studies (Dale, 2014; Evanoff, 2012) displayed an insignificant association. One moderate quality study (Nordstrom, 1997) showed an insignificant result with a short duration of wrist bending and an increased risk of CTS with more frequent wrist bending.
Many recent high and moderate quality studies were identified and provide new insights into workplace factors associated with CTS. However, the studies did not consider the relative contributions of personal and work-related factors on CTS, so it is difficult to calculate risk attributable to different risk factors from the data. Some occupational factors and workplace exposures were evaluated by single studies with weak designs or relatively weak exposure assessment methods. The findings from those studies, therefore, did not contribute to the conclusions. Workplace categories include: clerical/office work, industrial, construction, farming, hospital, professional, technical, managerial, sales, skilled trades (agriculture, fabrication, machining, transporter techs, electricians, plumbers, construction), and other jobs.
- (16) de Krom MC, Knipschild PG, Kester AD, Spaans F. Efficacy of provocative tests for diagnosis of carpal tunnel syndrome. Lancet 1990 Feb 17;335(8686):393-5.
- Armstrong,T.; Dale,A.M.; Franzblau,A.; Evanoff,B.A. Risk factors for carpal tunnel syndrome and median neuropathy in a working population. J Occup.Environ.Med; 2008/12: 12
- Becker,J.; Nora,D.B.; Gomes,I.; Stringari,F.F.; Seitensus,R.; Panosso,J.S.; Ehlers,J.C. An evaluation of gender, obesity, age and diabetes mellitus as risk factors for carpal tunnel syndrome. Clin Neurophysiol.; 2002/9: 9
- Bonfiglioli,R.; Mattioli,S.; Armstrong,T.J.; Graziosi,F.; Marinelli,F.; Farioli,A.; Violante,F.S. Validation of the ACGIH TLV for hand activity level in the OCTOPUS cohort: a two-year longitudinal study of carpal tunnel syndrome. Scand.J Work Environ.Health; 2013/3/1: 2
- Bonfiglioli,R.; Mattioli,S.; Fiorentini,C.; Graziosi,F.; Curti,S.; Violante,F.S. Relationship between repetitive work and the prevalence of carpal tunnel syndrome in part-time and full-time female supermarket cashiers: a quasi-experimental study. Int.Arch Occup.Environ.Health; 2007/1: 3
- Bonfiglioli,R.; Mattioli,S.; Fiorentini,C.; Graziosi,F.; Curti,S.; Violante,F.S. Relationship between repetitive work and the prevalence of carpal tunnel syndrome in part-time and full-time female supermarket cashiers: a quasi-experimental study. Int.Arch Occup.Environ.Health; 2007/1: 3
- Burt,S.; Crombie,K.; Jin,Y.; Wurzelbacher,S.; Ramsey,J.; Deddens,J. Workplace and individual risk factors for carpal tunnel syndrome. Occup.Environ.Med; 2011/12: 12
- Coggon,D.; Ntani,G.; Harris,E.C.; Linaker,C.; Van der Star,R.; Cooper,C.; Palmer,K.T. Differences in risk factors for neurophysiologically confirmed carpal tunnel syndrome and illness with similar symptoms but normal median nerve function: a case-control study. BMC Musculoskelet.Disord.; 2013: 0
- Dale,A.M.; Gardner,B.T.; Zeringue,A.; Strickland,J.; Descatha,A.; Franzblau,A.; Evanoff,B.A. Self-reported physical work exposures and incident carpal tunnel syndrome. Am J Ind.Med; 2014/11: 11
- Eleftheriou,A.; Rachiotis,G.; Varitimidis,S.; Koutis,C.; Malizos,K.N.; Hadjichristodoulou,C. Cumulative keyboard strokes: a possible risk factor for carpal tunnel syndrome. J Occup.Med Toxicol.; 2012: 1
- Evanoff,B.; Dale,A.M.; Deych,E.; Ryan,D.; Franzblau,A. Risk factors for incident carpal tunnel syndrome: results of a prospective cohort study of newly-hired workers. Work; 2012: 0
- Evanoff,B.; Zeringue,A.; Franzblau,A.; Dale,A.M. Using job-title-based physical exposures from O*NET in an epidemiological study of carpal tunnel syndrome. Hum Factors; 2014/2: 1
- Garg,A.; Kapellusch,J.; Hegmann,K.; Wertsch,J.; Merryweather,A.; Deckow-Schaefer,G.; Malloy,E.J. The Strain Index (SI) and Threshold Limit Value (TLV) for Hand Activity Level (HAL): risk of carpal tunnel syndrome (CTS) in a prospective cohort. ; 2012: 4
- Geoghegan,J.M.; Clark,D.I.; Bainbridge,L.C.; Smith,C.; Hubbard,R. Risk factors in carpal tunnel syndrome. J Hand Surg Br; 2004/8: 4
- Hakim,A.J.; Cherkas,L.; El,Zayat S.; MacGregor,A.J.; Spector,T.D. The genetic contribution to carpal tunnel syndrome in women: a twin study. Arthritis Rheum.; 2002/6/15: 3
- Mondelli,M.; Grippo,A.; Mariani,M.; Baldasseroni,A.; Ansuini,R.; Ballerini,M.; Bandinelli,C.; Graziani,M.; Luongo,F.; Mancini,R.; Manescalchi,P.; Pellegrini,S.; Sgarrella,C.; Giannini,F. Carpal tunnel syndrome and ulnar neuropathy at the elbow in floor cleaners. Neurophysiol.Clin; 2006/7: 4
- Morgenstern,H.; Kelsh,M.; Kraus,J.; Margolis,W. A cross-sectional study of hand/wrist symptoms in female grocery checkers. Am J Ind.Med; 1991: 2
- Nordstrom,D.L.; Vierkant,R.A.; DeStefano,F.; Layde,P.M. Risk factors for carpal tunnel syndrome in a general population. Occup.Environ.Med; 1997/10: 10
- Plastino,M.; Fava,A.; Carmela,C.; De,Bartolo M.; Ermio,C.; Cristiano,D.; Ettore,M.; Abenavoli,L.; Bosco,D. Insulin resistance increases risk of carpal tunnel syndrome: a case-control study. J Peripher.Nerv.Syst.; 2011/9: 3
- Shin,J.; Nishioka,M.; Shinko,S.; Shibuya,K.; Sugiki,M.; Kasumoto,H.; Fudo,A.; Bito,Y.; Fujita,Y.; Komaba,K. Carpal tunnel syndrome and plasma beta2-microglobulin concentration in hemodialysis patients. Ther Apher.Dial.; 2008/2: 1
- Silverstein,B.A.; Fine,L.J.; Armstrong,T.J. Occupational factors and carpal tunnel syndrome. Am J Ind.Med; 1987: 3