University of Wisconsin Carbone Comprehensive Cancer Center, 1111 Highland Avenue, Madison, WI 53705-2275, USA.
J Cancer Surviv. 2013 Jun;7(2):191-202. doi: 10.1007/s11764-012-0258-2. Epub 2013 Feb 2.
Risk factors for employment difficulties after cancer diagnosis are incompletely understood, and interventions to improve post-cancer employment remain few. New targets for intervention are needed.
We assessed a cohort of 530 nonmetastatic cancer patients (aged ≤ 65 years, >6 months from diagnosis, off chemo- or radiotherapy) from the observational multi-site Symptom Outcomes and Practice Patterns study. Participants reported employment change, current employment, and symptoms. Groups were based on employment at survey (working full- or part-time versus not working) and whether there had been a change due to illness (yes versus no). The predictive power of symptom interference with work was evaluated for employment group (working stably versus no longer working). Race/ethnicity, gender, cancer type, therapy, and time since diagnosis were also assessed. Association between employment group and specific symptoms was examined.
The cohort was largely non-Hispanic white (76 %), female (85 %), and diagnosed with breast cancer (75 %); 24 % reported a change in employment. On multivariable analysis, participants with at least moderate symptom interference were more likely to report no longer working than their less effected counterparts (odds ratio (OR) = 8.0, 95 % CI, 4.2-15.4), as were minority participants compared with their non-Hispanic white counterparts (OR = 3.2, 95 % CI, 1.8-5.6). Results from the multiple regression model indicated the combination of fatigue (OR = 2.3, 95 % CI, 1.1-4.7), distress (OR = 3.9, 95 % CI, 1.7-9.0), and dry mouth (OR = 2.6, 95 % CI, 1.1-6.2) together with race/ethnicity and time since diagnosis adequately accounted for employment group.
Our findings support the hypothesis that residual symptom burden is related to post-cancer employment: Residual symptoms may be targets for intervention to improve work outcomes among cancer survivors.
This analysis examines whether increased symptom burden is associated with a change to not working following a cancer diagnosis. We also examined individual symptoms to assess which symptoms were most strongly associated with not working after a cancer diagnosis. Our hope is that we will be able to use this information to both screen survivors post-active treatment as well as target high-risk symptoms for further and more aggressive intervention, in an attempt to improve post-cancer work outcomes.
癌症诊断后就业困难的风险因素尚不完全清楚,改善癌症后就业的干预措施仍然很少。需要新的干预目标。
我们评估了来自观察性多地点症状结局和实践模式研究的 530 名非转移性癌症患者(年龄≤65 岁,诊断后>6 个月,无化疗或放疗)的队列。参与者报告了就业变化、当前就业和症状。根据调查时的就业情况(全职或兼职工作与不工作)以及是否因疾病而发生变化(是与否)对组进行分组。评估症状对工作的干扰对就业组(稳定工作与不再工作)的预测能力。种族/民族、性别、癌症类型、治疗和诊断后时间也进行了评估。还检查了就业组与特定症状之间的关联。
该队列主要是非西班牙裔白人(76%),女性(85%),诊断为乳腺癌(75%);24%报告就业发生变化。在多变量分析中,至少有中度症状干扰的参与者更有可能报告不再工作,而不是症状较轻的参与者(优势比(OR)=8.0,95%置信区间,4.2-15.4),与非西班牙裔白人相比,少数民族参与者(OR=3.2,95%置信区间,1.8-5.6)。多元回归模型的结果表明,疲劳(OR=2.3,95%置信区间,1.1-4.7)、痛苦(OR=3.9,95%置信区间,1.7-9.0)和口干(OR=2.6,95%置信区间,1.1-6.2)与种族/民族和诊断后时间的组合共同解释了就业组。
我们的研究结果支持这样一种假设,即残留的症状负担与癌症后的就业有关:残留的症状可能是改善癌症幸存者工作结果的干预目标。
这项分析检查了增加的症状负担是否与癌症诊断后不工作有关。我们还检查了个体症状,以评估哪些症状与癌症诊断后不工作最相关。我们希望我们能够利用这些信息在积极治疗后对幸存者进行筛查,以及针对高风险症状进行进一步和更积极的干预,以试图改善癌症后的工作结果。