A surreal illustration symbolizing the complexities of sickness absence and its relationship to employment status, featuring figures navigating a labyrinth.

Unlocking the Secrets of Sickness Absence: What Finnish Data Reveals About Employment Status and Health

"A deep dive into a Finnish study uncovers surprising links between employment status, length of sickness absence, and socio-economic factors, highlighting critical insights for public health and workplace wellness."


Sickness absence is a pervasive issue impacting both individual well-being and national economies. Understanding the factors that contribute to prolonged periods of absence is crucial for developing effective strategies to support workers and reduce the burden on healthcare systems. While much attention has been paid to employed populations, less is known about the sickness absence patterns of entrepreneurs, the unemployed, and those in precarious employment situations.

A groundbreaking study conducted in Finland sheds light on this critical gap in our knowledge. By analyzing data from a large, representative sample of the Finnish population, researchers have uncovered significant differences in the incidence and length of sickness absence (SA) across various employment groups. The findings reveal that while manual workers experience the highest rates of sickness absence, entrepreneurs and the unemployed suffer from significantly longer periods of absence, raising important questions about socio-economic disparities and access to healthcare.

This article delves into the key findings of this Finnish study, exploring the nuances of sickness absence among different employment groups. We will examine the factors that contribute to prolonged absences, the implications for public health policy, and the steps that can be taken to better support those outside traditional employment structures. By understanding these dynamics, we can work towards creating a more equitable and supportive environment for all members of the workforce.

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Return-to-Work Timelines and Sick Leave Access

A Finnish study reported median times to sustained return to work for depression of 46 days for men and 38 days for women. For anxiety disorders, the medians were 24 and 22 days; for intervertebral disc disorders, 42 and 41 days; and for back pain, 21 and 22 days, respectively. Separately, U.S. Bureau of Labor Statistics figures report that 83% of civilian workers had access to paid sick leave in 2026. These figures describe different populations and measures, rather than a single estimate of sickness absence.

Employment Status and the Consequences of Absence

A 2018 analysis using German panel data reported that short-term sickness-related absence was associated with a lower probability of subsequent promotion and a higher probability of dismissal. A separate 2025 study concluded that access to paid sick leave and health insurance increased the likelihood of taking time off for illness or injury, with differences by employment status, income, and occupation. Together, these findings illustrate how absence and the ability to take leave can relate to employment outcomes, but they concern distinct studies and settings.

The Finnish Sickness Absence Study: A Detailed Look

A surreal illustration symbolizing the complexities of sickness absence and its relationship to employment status, featuring figures navigating a labyrinth.

The Finnish study, published in the European Journal of Public Health, utilized data from the Social Insurance Institution of Finland to analyze sickness absence spells lasting over 10 working days in 2013. The researchers linked this data to socio-demographic information from a 70% random sample of the Finnish non-retired population aged 25–62. This comprehensive dataset, encompassing over 1.6 million individuals, allowed for a robust analysis of sickness absence patterns across different occupational groups.

The study employed zero-inflated negative binomial regression models to assess both the incidence of sickness absence and the total number of days in incident SA spells. These models were adjusted for key demographic factors such as age, income, marital status, and region, ensuring a rigorous and nuanced understanding of the data.

  • Manual Workers: Highest incidence of sickness absence.
  • Entrepreneurs and Unemployed: Longer sickness absence spells.
  • Musculoskeletal Diseases: Significant contributor to long absences among men.
  • Mental Disorders: Notable factor in extended absences among women.
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Research on Finnish Benefits and Workplace Prevention

The Finnish register-based study of diagnosis-specific sickness absence in 2011–2021 notes that employees’ first 10 working days are covered by a mandatory employer period, usually compensated at full salary. Entrepreneurs insured under the Self-Employed Persons’ Pensions Act may apply for sickness allowance for self-employed persons and entrepreneurs to cover income losses during the waiting period for standard sickness allowance. Interview research published in 2024 found that repeated short-term absence was primarily treated as an individual employee issue, with limited attention to prevention through workplace improvements such as trust between employees and managers and overall well-being.

Incidence Does Not Tell the Whole Story

A Finnish study reported that adjusted sickness-absence incidence was clearly higher among manual workers than non-manual employees, while the expected number of days was only slightly larger. A separate register study of 1.6 million Finns measured absence through receipt of sickness allowance, so the included episodes were long-term absences of at least 12 calendar days. These findings caution against treating incidence, duration, and all sickness absence as interchangeable measures.

Mental-Disorder Absence in Finland, 2005–2019

A Finnish study tracked sickness allowance for mental disorders by gender, age, and diagnostic group from 2005 to 2019. Across those years, the population at risk ranged from 3.15 to 3.22 million people annually. Total yearly sickness-allowance days ranged from 13.8 million to 16.7 million. These totals describe the study’s Finnish population and period, not a comparison with another country.

The results revealed that 7% of men and 10% of women experienced new incident SA spells, with the mean number of SA days being 84 and 71, respectively. While manual workers had the highest incidence of sickness absence, the study also highlighted that entrepreneurs, the unemployed, and those without employment experienced significantly longer periods of absence. This disparity was particularly pronounced in cases involving musculoskeletal diseases among men and mental disorders among women.

Implications and Recommendations

The findings of the Finnish study underscore the importance of addressing socio-economic disparities in access to healthcare and support services. While policies often focus on employed populations, it is crucial to recognize the unique challenges faced by entrepreneurs, the unemployed, and those in precarious employment situations. By implementing targeted interventions and promoting inclusive policies, we can work towards reducing the burden of sickness absence and promoting the well-being of all members of society.

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Workplace Factors and Long-Term Absence

A 2025 study describes obtaining long-term sickness-absence data anonymously from employment records using an encrypted ID. The records included employees’ sex, age, occupation—clerical, technical, or professional—the reason for absence, and the start and return-to-work dates of each episode. This information shows the kinds of employment and episode characteristics examined in that study; the provided source material does not report its results.

Absence Management Trends and Predictions

Sedgwick’s Workforce Absence and Disability Trends Report presents trends from 2025 and predictions for 2026, including shifting regulations and the impact of emerging technology on absence management and the future of work. Sedgwick says the report draws on trends and predictions from its experts and is intended to guide organizations facing compliance challenges and changing employee expectations. These are forward-looking perspectives, not confirmed outcomes.

Locked-In Status and Short Absences

A 2023 study on organizational injustice and sickness absence reported that employees who were not locked in more often took short sickness absence. The authors suggested this pattern could indicate a coping behavior for handling high strain. The study adds to research on how locked-in status may moderate the relationship between organizational justice and health, while recognizing that sickness absence can have multiple underlying reasons.

What the employment-group pattern means

Incidence and duration describe different parts of sickness absence. The findings do not show that groups with longer spells had fewer new spells; instead, they indicate that long absences among people outside employment deserve attention alongside the incidence gradient among employees.[1]

The researchers examined absence days related to musculoskeletal, mental and other disorders across employee occupational classes and groups outside employment. The particularly high days for musculoskeletal diseases among men and mental disorders among women show that the group differences were not identical across diagnoses and genders.[1]

The Finnish register study at a glance

Sample sizeN = 1,6 mill.[1]
SettingFinland[1]
DurationSA spells over 10 working days in 2013[1]
ComparisonThree occupational classes of employees and entrepreneurs, unemployed and others without employment[1]
Main outcomeIncidence of long sickness absence and number of sickness absence days due to musculoskeletal, mental and other disorders[1]
Effect size7% of men and 10% of women had new incident SA spells; mean SA days were 84 and 71, respectively[1]
Times cited0[1]

How later Finnish evidence frames the result

A separate Finnish study linked heavier physical demands and uncomfortable working positions, as well as job dissatisfaction and work stress, with musculoskeletal absence risk. That provides work-condition context, but does not establish which factors explain the employment-group differences in this study.[2] [3]

What a follow-up would need to clarify

  • How much of the employment-group pattern reflects differences in health and functional capacity, working conditions, living conditions, health behavior or service use?[3]
  • Would the occupational and employment-group patterns look different if short sickness absences were included alongside longer spells?[4]

About this Article -

Written with AI assistance from published research, and reviewed by the Mystum team. See our About page for more information.

This article is based on research published under:

DOI-LINK: 10.1093/eurpub/ckx189.014, Alternate LINK

Title: Incidence And Length Of Sickness Absence In The Employed And Non-Employed Finnish Population

Subject: Public Health, Environmental and Occupational Health

Journal: European Journal of Public Health

Publisher: Oxford University Press (OUP)

Authors: S Jäppinen, J Blomgren

Published: 2017-10-20

Everything You Need To Know

1

What exactly is 'sickness absence' and why should we care about it?

Sickness absence refers to the time an employee is away from work due to illness or injury. It's important because prolonged absences can significantly impact both individual well-being and national economies. Understanding the patterns and causes of sickness absence, especially among different employment groups, is crucial for developing effective support strategies and reducing the burden on healthcare systems. Factors that determine the length of time include the specific ailment (such as musculoskeletal diseases or mental disorders), employment status, and access to healthcare and support services.

2

Can you explain how the Finnish Sickness Absence Study was conducted?

The Finnish Sickness Absence Study used data from the Social Insurance Institution of Finland, analyzing sickness absence spells lasting over 10 working days in 2013. Researchers linked this data to socio-demographic information from a large sample of the Finnish population. This comprehensive dataset, encompassing over 1.6 million individuals, allowed for a robust analysis of sickness absence patterns across different occupational groups. The Finnish data highlights the importance of addressing socio-economic disparities in access to healthcare and support services.

3

What are 'zero-inflated negative binomial regression models' and why were they used?

Zero-inflated negative binomial regression models were used to assess both the incidence of sickness absence and the total number of days in incident SA spells. These models are statistical tools that help researchers understand the relationship between different factors (like employment status and socio-economic status) and the occurrence and duration of sickness absence. By using these models and adjusting for demographic factors such as age, income, marital status, and region, researchers can gain a more accurate and nuanced understanding of the data and identify key drivers of sickness absence.

4

What were the main differences in sickness absence among various employment groups in Finland?

The Finnish study found that manual workers experienced the highest incidence of sickness absence. Entrepreneurs and the unemployed, while not having the highest incidence, suffered from significantly longer periods of absence. These findings highlight disparities across different employment groups. For example, musculoskeletal diseases were a significant contributor to long absences among men, while mental disorders were a notable factor in extended absences among women. This suggests that different groups may face different challenges in accessing care and support, leading to longer periods of absence.

5

What actions can be taken based on the findings of the Finnish study?

The Finnish study suggests that policies should address socio-economic disparities in access to healthcare and support services, particularly for entrepreneurs, the unemployed, and those in precarious employment situations. Targeted interventions and inclusive policies can help reduce the burden of sickness absence and promote well-being. Addressing factors such as musculoskeletal diseases among men and mental disorders among women may require specific, tailored approaches to prevention and treatment.

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