Data
13.1.2022

Short sickness absences in different sectors

Short sickness absences in different sectors

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Compared sectors and years

all sectors
all
Food services
all

Individual measurement series can be hidden, displayed or highlighted by clicking the descriptions of the graphs.

Monthly distribution of absence days and diagnosis classes
The graph shows a maximum of five of the most common diagnosis classes. Diagnoses with fewer than five absence days are included in the “Other diagnoses” class to ensure privacy protection.
Month123456789101112Percentage of absence days0123456789101112
all sectors:
Respiratory system
Musculoskeletal system and connective...
Certain infectious and parasitic dis
Symptoms, signs and abnormal clinical and ...
Mental and behavioural disorders
Other diagnoses
Food services:
Respiratory system
Musculoskeletal system and connective...
Certain infectious and parasitic dis
Symptoms, signs and abnormal clinical and ...
Mental and behavioural disorders
Other diagnoses
Weekday distribution of absence days and diagnosis classes
The graph shows a maximum of five of the most common diagnosis classes. Diagnoses with fewer than five absence days are included in the “Other diagnoses” class to ensure privacy protection.
WeekdayMo.Tu.We.Th.Fr.Sa.Su.Percentage of absence days02468101214161820
all sectors:
Respiratory system
Musculoskeletal system and connective...
Certain infectious and parasitic dis
Symptoms, signs and abnormal clinical and ...
Mental and behavioural disorders
Other diagnoses
Food services:
Respiratory system
Musculoskeletal system and connective...
Certain infectious and parasitic dis
Symptoms, signs and abnormal clinical and ...
Mental and behavioural disorders
Other diagnoses
Most common diagnosis classes of absence days
The graph shows a maximum of ten of the most common diagnosis classes. Diagnoses with fewer than five absence days are excluded to ensure privacy protection.
Respiratory systemMusculoskeletal systemand connective...Certain infectious andparasitic disSymptoms, signs andabnormal clinical and ...Mental and behaviouraldisordersInjury, poisoning andcertain otherconsequences...Nervous systemDigestive systemCirculatory systemPregnancy, childbirth andthe puerperiumPercentage of absence days0510152025303540all sectorsFood services

Respiratory diseases were the most common reason for short sickness absence in all of the six sectors studied. Browse and compare, for example, the second and third most common reasons for absences in different sectors and how they are distributed at an annual or weekly level.

Description

The extensive, anonymised and masked longitudinal materials from employers and occupational health care organizations were collected from the Kokkola and Jakobstad areas in 2017–2020. The total number of absence periods in six different sectors was 17,088. Data was collected from the sectors of early childhood education, teaching and expert work, food services, the food industry and light and heavy factory work. The absence data were processed with an AI-based system that used information about diagnoses and dates. Based on the AI analysis, predictions about the timing of absences in different sectors were made.

What the graphs describe

The graphs show the most common sector-specific reasons for short sickness absences (1–10 days) and when they occurred. The data can be browsed and compared accordingly:

  • The overall data of all of the six sectors can be browsed as a single package
  • The data of a sector can be compared to another sector or all sectors
  • The diagnosis data of a single sector can be browsed or compared to another sector or all of the sectors
  • Annual sector-specific absence data can be compared to another year or all years of the study
  • Monthly absence data can be browsed on a sector-specific basis or compared to the data of another sector or all of the sectors
  • Weekly absence data can be browsed on a sector-specific basis or compared to another sector or all of the sectors

The data were collected and analysed in the LYHTY project aimed to prevent short absences that ended on 31 December 2021. LYHTY was a project funded by the European Social Fund and the Finnish Work Environment Fund and executed by Centria University of Applied Sciences.

Contact information

Marja-Liisa Hiironen

+358 40 5727 769

Ville Pitkäkangas

+358 40 1938 974

Leena Toivanen

+358 40 701 3221

Creative Commons License

Creative Commons License

The publication is licensed under Creative Commons 4.0 International -license.

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