Division of Surveillance, Hazard Evaluation and Field Studies, National Institute for Occupational Safety and Health, Cincinnati, Ohio 45226, USA.
Occup Environ Med. 2013 Aug;70(8):552-60. doi: 10.1136/oemed-2012-101296. Epub 2013 May 18.
Telomere length has been proposed as a biomarker of cell senescence, which is associated with a wide array of adverse health outcomes. While work is a major determinant of health, few studies have investigated the association of telomere length with various dimensions of occupation. Accelerated cellular aging could be a common pathway linking occupational exposure to several health outcomes.
Leukocyte telomere length was assessed using quantitative PCR in a community-based sample of 981 individuals (age: 45-84 years). Questionnaires were used to collect information on current employment status, current or main occupation before retirement and job strain. The Occupational Resource Network (O*NET) database was linked to the questionnaire data to create five exposure measures: physical activity on the job, physical hazard exposure, interpersonal stressors, job control and job demands. Linear regression was used to estimate associations of occupational characteristics with telomere lengths after adjustment for age, sex, race, socioeconomic position and several behavioural risk factors.
There were no mean differences in telomere lengths across current employment status, occupational category, job strain categories or levels of most O*NET exposure measures. There was also no evidence that being in lower status occupational categories or being exposed to higher levels of adverse physical or psychosocial exposures accelerated the association between age and telomere shortening.
Cellular aging as reflected by shorter telomeres does not appear to be an important pathway linking occupation to various health outcomes.
端粒长度已被提议作为细胞衰老的生物标志物,而细胞衰老是与广泛的不良健康结果相关联的。虽然工作是健康的主要决定因素之一,但很少有研究调查端粒长度与各种职业维度之间的关系。加速的细胞衰老可能是将职业暴露与多种健康结果联系起来的共同途径。
在一个基于社区的 981 名个体(年龄:45-84 岁)样本中,使用定量 PCR 评估白细胞端粒长度。问卷调查用于收集当前就业状况、退休前的当前或主要职业以及工作压力的信息。职业资源网络(O*NET)数据库与问卷数据相关联,以创建五个暴露指标:工作中的体力活动、物理危害暴露、人际压力源、工作控制和工作需求。线性回归用于在调整年龄、性别、种族、社会经济地位和几个行为风险因素后,估计职业特征与端粒长度之间的关联。
在当前就业状况、职业类别、工作压力类别或大多数 O*NET 暴露指标水平方面,端粒长度没有差异。也没有证据表明处于较低职业地位类别或暴露于更高水平的不良生理或心理社会暴露会加速年龄与端粒缩短之间的关联。
细胞衰老(反映为端粒较短)似乎不是将职业与各种健康结果联系起来的重要途径。