Lakiša Svetlana, Gobina Inese, Vanadziņš Ivars, Matisāne Linda
Institute for Occupational Safety and Environmental Health, Riga Stradinš University, Riga, Latvia.
Department of Public Health and Epidemiology, Riga Stradinš University, Riga, Latvia.
Front Public Health. 2025 Mar 7;13:1549076. doi: 10.3389/fpubh.2025.1549076. eCollection 2025.
Sickness presenteeism-working despite being ill-is influenced by work demands, personal circumstances, and socio-demographic factors. This study investigates the prevalence of sickness presenteeism and its self-reported reasons across socio-demographic groups in Latvia.
Data were pooled from four consecutive cross-sectional surveys conducted from 2006 to 2018, representing a sample of 6,368 hired workers. Logistic regression was used to assess associations between presenteeism and socio-demographic variables (gender, age, education, income, and job position), while chi-squared tests examined differences in reasons for presenteeism.
Overall, 11% of respondents reported working while ill in the past year. The most common reasons were a lack of replacement possibilities (27.7%), financial considerations (25.5%), specific work-related aspects (17.4%), and mild illness (14.0%). Significant socio-demographic differences were observed, with gender, income level, and job position influencing the reasons for presenteeism.
These findings underscore the need for targeted workplace policies, including strategies to address replacement gaps, financial insecurity, and job-related pressures. Future research should explore cross-national comparisons and the impact of evolving work patterns, such as telework, on presenteeism trends.
带病出勤——即使生病仍坚持工作——受到工作要求、个人情况和社会人口因素的影响。本研究调查了拉脱维亚不同社会人口群体中带病出勤的患病率及其自我报告的原因。
数据来自2006年至2018年连续进行的四项横断面调查,样本为6368名雇佣工人。使用逻辑回归评估带病出勤与社会人口变量(性别、年龄、教育程度、收入和工作职位)之间的关联,同时使用卡方检验检查带病出勤原因的差异。
总体而言,11%的受访者报告在过去一年中带病工作。最常见的原因是缺乏替代人选(27.7%)、经济考虑(25.5%)、与工作相关的特定方面(17.4%)和轻症(14.0%)。观察到显著的社会人口差异,性别、收入水平和工作职位影响带病出勤的原因。
这些发现强调了制定有针对性的工作场所政策的必要性,包括解决替代缺口、经济不安全和与工作相关压力的策略。未来的研究应探索跨国比较以及远程工作等不断演变的工作模式对带病出勤趋势的影响。