From: Diagnosis-specific sickness absence among injured working-aged pedestrians: a sequence analysis
Cluster | 1. No SA | 2. Immediate SA | 3. Episodic SA | 4. Long-term or later SA | 5. Both SA due to injury and other diagnoses | 6. Other diagnoses short-term SA | 7. Other diagnoses long-term SA | 8. Disability pension |
---|---|---|---|---|---|---|---|---|
N | 5339 individuals | 2046 individuals | 445 individuals | 369 individuals | 796 individuals | 1901 individuals | 233 individuals | 303 individuals |
Characterisation of SA sequences | No SA or DP during the entire study period | SA due to injury diagnoses in connection to the accident | Two or more SA spells due to injury diagnoses, one at the time of the accident and one prior to or later during the study period | One or several SA spells due to injury diagnoses later during follow-up | One SA spell due to an injury diagnosis starting in connection to the accident and also one or several SA spells due to other diagnoses during the study period | One or several short-term SA spells due to other diagnoses spread out during the study period | Long-term SA due to other diagnoses | DP |
Characterisation of sociodemographic differences | More young men More individuals not born in Sweden, living in cities, and with higher levels of education | More women. More individuals born in Sweden, married, and living in towns or rural areas | More older women More often married, and living in towns or rural areas | More older men More often married, born in Sweden, and with lower levels of education | More older women More often married, born in Sweden, and living in towns or rural areas | More women More often born in Sweden | More older women More often born in Sweden, living in cities, and with lower levels of education | More often either younger and older individuals More often unmarried, living in towns or rural areas, and with lower levels of education |
Characterisation of occupation differences | More often not in work/unknown work | More often working in Construction, Trade, transport, hotels & restaurants, and Health & social care | More often working in Construction, and Health & social care. More often blue-collar worker | More often working in Health & social care. More often blue-collar worker | More often working in Education, and Health & social care. More often white-collar worker | More often working in Education, and Health & social care | More often working in Health & social care. More often not in work/unknown work | More often working in Health & social care. More often not in work/unknown work |
Characterisation of the injuries | More often external injuries and injuries to head, face and neck | More often fractures and injuries to upper and lower extremities | More often fractures and injuries to upper and lower extremities | More often external injuries and injuries to vertebral column & spinal cord | More often fractures and injuries to upper and lower extremities | More often injuries to torso and vertebral column & spinal cord | More often internal injuries and injuries to head, face and neck |