Bhanderi Dinesh J, Mishra Daxa G, Parikh Shweta M, Sharma Deepak B
Department of Community Medicine, Pramukhswami Medical College, Karamsad, Gujarat, India.
Department of Musculoskeletal and Kinesiotherapy, KM Patel Institute of Physiotherapy, Karamsad, Gujarat, India.
Indian J Occup Environ Med. 2017 Sep-Dec;21(3):109-114. doi: 10.4103/ijoem.IJOEM_66_17.
Carpal tunnel syndrome (CTS) is one of the musculoskeletal disorders that is often described as an occupational hazard, including occupations involving computer use. However, clear consensus is lacking as far as the association between the use of computer and risk of possible CTS is concerned.
To assess the association between CTS and computer use.
A case-control study.
A sample size of 411 (137 cases and 274 controls) was calculated using Epi Info (version 6). Thus, 137 confirmed cases of CTS and 274 controls (matched for age and sex) were studied using a structured questionnaire.
Odds ratio (OR) with 95% confidence interval was calculated between the two groups to analyze the association. For control of confounding factors, logistic regression analysis was done.
Current use of computer was found to be significantly higher in controls rather than cases (OR = 0.47, CI = 0.27-0.84, = 0.009). Similarly, past use of computer was also found to be higher in controls. However, the difference was not statistically significant (OR = 0.38, CI = 0.11-1.35, = 0.20). On applying logistic regression, variables found to be significantly associated with CTS were education (OR = 0.79, CI = 0.66-0.94, = 0.01), obesity (OR = 3.11, 95%CI = 1.92-5.04, = 0.00), and short stature (OR = 1.06, 95%CI = 1.02-1.1, = 0.00). Although current use of computer (OR = 0.33, CI = 0.16-0.67, = 0.00) was significantly associated with CTS in multivariate model, OR of value less than one does not indicate positive association between this variable and CTS.
The study did not demonstrate any positive association between computer use and CTS.
腕管综合征(CTS)是一种肌肉骨骼疾病,常被描述为职业危害,包括涉及计算机使用的职业。然而,就计算机使用与可能的腕管综合征风险之间的关联而言,目前尚无明确共识。
评估腕管综合征与计算机使用之间的关联。
一项病例对照研究。
使用Epi Info(6版)计算样本量为411例(137例病例和274例对照)。因此,采用结构化问卷对137例确诊的腕管综合征病例和274例对照(按年龄和性别匹配)进行了研究。
计算两组之间的比值比(OR)及其95%置信区间,以分析两者之间的关联。为控制混杂因素,进行了逻辑回归分析。
发现对照组当前使用计算机的比例显著高于病例组(OR = = 0.47,CI = 0.27 - 0.84,P = 0.009)。同样,对照组过去使用计算机的比例也较高。然而,差异无统计学意义(OR = 0.38,CI = 0.11 - 1.35,P = 0.20)。应用逻辑回归分析发现,与腕管综合征显著相关的变量有教育程度(OR = 0.79,CI = 0.66 - 0.94,P = 0.01)、肥胖(OR = 3.11,95%CI = 1.92 - 5.04,P = 0.00)和身材矮小(OR = 1.06,95%CI = 1.02 - 1.1,P = 0.00)。虽然在多变量模型中当前使用计算机(OR = 0.33,CI = 0.16 - 0.67,P = 0.00)与腕管综合征显著相关,但OR值小于1并不表明该变量与腕管综合征之间存在正相关。
该研究未证明计算机使用与腕管综合征之间存在任何正相关。