Sickness absence trajectories among young employees in their first full-time employment and subsequent long-term sickness absence: a Danish register-based cohort study

  • 0National Research Centre for the Working Environment, Copenhagen, Denmark.

|

|

Summary

This summary is machine-generated.

Frequent sickness absence (SA) in the first year of employment predicts future long-term absence (LTSA) in young workers. Early SA patterns serve as a crucial risk marker for long-term health and employment challenges.

Area Of Science

  • Occupational Health
  • Public Health
  • Epidemiology

Background

  • Sickness absence (SA) is a significant public health and economic issue.
  • Limited research exists on SA trajectories in early full-time employment.
  • Investigating early SA's role in predicting long-term absence (LTSA) in young employees is crucial.

Purpose Of The Study

  • Identify sickness absence (SA) trajectories in young, full-time employees.
  • Determine if early SA patterns predict subsequent long-term absence (LTSA).

Main Methods

  • Utilized a nationwide Danish register-based cohort of 91,633 young employees (aged 15-30).
  • Applied group-based multi-trajectory modeling to identify SA patterns in the first year of employment.
  • Employed proportional hazard models to assess the 2-year risk of LTSA.

Main Results

  • Identified three SA trajectories: no/few shorter spells, frequent shorter spells, and frequent longer spells.
  • Frequent shorter or longer SA spells were linked to lower education and prior mental health issues.
  • Individuals in frequent SA trajectories faced a 1.82 to 2.21 times higher risk of subsequent LTSA.

Conclusions

  • Approximately 40% of young employees exhibit frequent shorter or longer SA spells in their first year.
  • These early SA patterns are significant risk markers for future long-term absence (LTSA).
  • Increased attention is needed for young employees exhibiting elevated SA patterns early in their careers.

Related Concept Videos

Classification of Illness 01:17

7.3K

The meaning of illness is individualized to each person who experiences an alteration in health. In contrast, disease is a medical term indicating a pathological change in the structure and function of the body or mind. It is a condition that has specific symptoms and boundaries.
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe...

Longitudinal Research 02:20

11.8K

Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...

Actuarial Approach 01:20

53

The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...

Longitudinal Studies 01:26

108

Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...

Truncation in Survival Analysis 01:09

145

Truncation in survival analysis refers to the exclusion of individuals or events from the dataset based on specific criteria related to the time of the event. This exclusion can happen in two primary forms: left truncation and right truncation.
Left truncation occurs when individuals who experienced the event of interest before a certain time are not included in the study. This is often due to a "delayed entry" into the study where only those who survive until a certain entry point are...

Emerging Adulthood 01:27

28

Jeffrey Arnett's concept of emerging adulthood offers a framework to understand the unique developmental stage between adolescence and full-fledged adulthood, generally from ages 18 to 25. This period is marked by extensive exploration and shifts in identity, relationships, and career choices, a process known in psychology as role experimentation. Emerging adulthood reflects the evolving cultural expectations surrounding adulthood and the dynamic process of personal transformation during...