目的:研究通常调查有疼痛的员工患病缺勤的风险因素的有限数量或预定组合。我们检查了各种与工作相关的因素和疼痛感知中经常出现的组合。
方法:横断面研究。
方法:受IDEWE监督的比利时公司,在工作中预防和保护的外部服务。
方法:总共,包括249名经历了至少6周疼痛的员工,并填写了一份在线调查。
结果:潜在轮廓分析用于区分与工作相关的因素的轮廓(身体需求,工作量,社会支持和自主性)和痛苦感知(灾难性的,恐惧回避信念和痛苦接受)。随后,在社会人口统计上比较了概况(年龄,性别,教育水平,工作安排,投诉的持续时间,前一年的多部位疼痛和疾病缺席)和疾病缺席的预测因素(行为意图和感知的行为控制)。
结果:确定了四个概况。在所有指标中,概况1(38.2%)得分良好,概况4(14.9%)得分不利。概况二(33.3%)对身体要求相对较高,适度的自治水平和其他指标的有利分数。概况3(13.7%)显示出相对较低的实物需求,适度的自治水平,但在其他指标上得分不利。资料的预测因素是年龄(OR0.93和95%CI(0.89至0.98)),教育水平(OR0.28和95%CI(0.1至0.79))和上一年的疾病缺勤时间(OR2.29和95%CI(0.89至5.88))。在四个方面,行为意图(χ2=8.92,p=0.030)和感知行为控制(χ2=12.37,p=0.006)存在显着差异。
结论:这项研究强调了考虑工作相关因素与员工疼痛感知之间相互作用的重要性。单个工作因素的不利分数可能不会转化为适应不良的疼痛感知或随后的疾病缺席,如果缓解因素到位。必须特别注意处理不利工作条件以及适应不良疼痛观念的员工。在这种情况下,社会支持成为影响病假的重要因素。
OBJECTIVE: Studies usually investigate a limited number or a predefined combinations of risk factors for sickness absence in employees with pain. We examined frequently occurring combinations across a wide range of work-related factors and pain perceptions.
METHODS: Cross-sectional study.
METHODS: Belgian companies that are under supervision of IDEWE, an external service for prevention and protection at work.
METHODS: In total, 249 employees experiencing pain for at least 6 weeks were included and filled out an online survey.
RESULTS: Latent profile analysis was used to differentiate profiles of work-related factors (physical demands, workload, social support and autonomy) and pain perceptions (catastrophising, fear-avoidance beliefs and pain acceptance). Subsequently, profiles were compared on sociodemographics (age, gender, level of education, work arrangement, duration of complaints, multisite pain and sickness absence in the previous year) and predictors of sickness absence (behavioural intention and perceived behavioural control).
RESULTS: Four profiles were identified. Profile 1 (38.2%) had favourable scores and profile 4 (14.9%) unfavourable scores across all indicators. Profile 2 (33.3%) had relatively high physical demands, moderate autonomy levels and favourable scores on the other indicators. Profile 3 (13.7%) showed relatively low physical demands, moderate autonomy levels, but unfavourable scores on the other indicators. Predictors of profiles were age (OR 0.93 and 95% CI (0.89 to 0.98)), level of education (OR 0.28 and 95% CI (0.1 to 0.79)) and duration of sickness absence in the previous year (OR 2.29 and 95% CI (0.89 to 5.88)). Significant differences were observed in behavioural intention (χ2=8.92, p=0.030) and perceived behavioural control (χ2=12.37, p=0.006) across the four profiles.
CONCLUSIONS: This study highlights the significance of considering the interplay between work-related factors and pain perceptions in employees. Unfavourable scores on a single work factor might not translate into maladaptive pain perceptions or subsequent sickness absence, if mitigating factors are in place. Special attention must be devoted to employees dealing with unfavourable working conditions along with maladaptive pain perceptions. In this context, social support emerges as an important factor influencing sickness absence.