Night shift work and lung cancer risk among female textile workers in Shanghai, China.

Night shift work and lung cancer risk among female textile workers in Shanghai, China.
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DOI:
10.1080/15459624.2014.993472
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发表时间:
2015
影响因子:
2
通讯作者:
Checkoway H
Checkoway H
中科院分区:
环境科学与生态学4区
文献类型:
--
作者:
Kwon P;Lundin J;Li W;Ray R;Littell C;Gao D;Thomas DB;Checkoway H

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2007年,国际癌症研究机构将涉及昼夜节律破坏的轮班工作列为可能的人类致癌物。抑制抗肿瘤激素褪黑激素是一种推测的作用机制。我们在中国上海的267,400名纺织女工队列中进行了一项病例队列研究。将研究期间(1989-2006年)确定的新诊断肺癌病例(n=1451)与年龄分层子队列(n=3040)进行比较。校正年龄、吸烟、产次和内毒素暴露,通过考克斯回归模型估计相对风险[风险比(HR)],以评估与轮班工作累积年数和夜间数的相关性。结果没有一致地显示轮班工作中肺癌风险增加或累积年(HR 0.82,95% CI 0.66 - 1.02; Ptrend = 0.294)和夜间(HR 0.81,95% CI 0.65 - 1.00; Ptrend = 0.415)的统计学显著趋势。对疾病潜伏期施加10年和20年滞后时间的进一步分析也显示了类似的结果。与最初的假设相反,夜间轮班工作似乎与肺癌风险相对降低有关,尽管这种影响的程度是适度的,没有统计学意义。
In 2007, the International Agency for Research on Cancer classified shift work that involves circadian disruption as a probable human carcinogen. Suppression of the anti-neoplastic hormone, melatonin, is a presumed mechanism of action. We conducted a case-cohort study nested within a cohort of 267,400 female textile workers in Shanghai, China. Newly diagnosed lung cancer cases (n=1451) identified during the study period (1989–2006) were compared with an age-stratified subcohort (n=3040). Adjusting for age, smoking, parity and endotoxin exposure, relative risks [hazard ratios (HRs)] were estimated by Cox regression modeling to assess associations with cumulative years and nights of rotating shift work. Results did not consistently reveal any increased risk of lung cancer among rotating shift work or statistically significant trends for both cumulative years (HR 0.82, 95% CI 0.66 to 1.02; Ptrend = 0.294) and nights (HR 0.81, 95% CI 0.65 to 1.00; Ptrend = 0.415). Further analyses imposing 10- and 20-year lag times for disease latency also revealed similar results. Contrary to the initial hypothesis, rotating nighttime shift work appears to be associated with a relatively reduced lung cancer risk although the magnitude of the effect was modest and not statistically significant.
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