| 1. IDENTIFICATION & BASIC DESCRIPTION |
|
Cohort name
|
| |
ATOHS
|
|
Country
|
| |
|
|
Please provide any other information on the cohort location/s if needed
|
| |
Stockholm
|
|
Name
|
| |
Emma Brulin
|
|
Institution
|
| |
Karolinska Institutet
|
|
Email
|
| |
emma.brulin@ki.se
|
|
Phone
|
| |
+46730526602
|
|
Personal website
|
| |
https://ki.se/en/people/emma-brulin#about-me
|
|
Website
|
| |
- https://www.vr.se/english/swecris.html#/project/2016-00748_Forte
|
|
Name of committee
|
| |
Regional Ethics Review Board, Stockholm
|
|
Or provide website
|
| |
- https://www.camm.regionstockholm.se/var-verksamhet/projekt/atohs-arbetstider-och-halsa-i-sjukvarden/
|
|
Contact Principal Investigator (name)
|
| |
Emma Brulin
|
|
Data access policy (briefly describe)
|
| |
De-identified data potentially available
|
|
Is this cohort part of a consortium? (name consortium)
|
| |
The European Occupational Exposome and Health Cohort Consortium
|
|
Participation in pooled analyses
|
| |
- The cohort is potentially interested in participating in pooled analyses of (European) occupational cohort studies (note pooled analyses also includes remote decentralized analyses that would not require any transfer of primary data as well as meta-analyses).
|
|
Main aim of cohort, please briefly describe the main objectives of the cohort
|
| |
Investigate the effects of night work and shift work on risks of cancer, cardiovascular disease, pregnancy outcome, and psychological diseases/diagnoses
|
|
Study design (please select as many as appropriate)
|
| |
- Prospective cohort
- Retrospective cohort
|
|
Source population (please select as many as appropriate)
|
| |
- Industry / occupation-based
|
|
Comparators (please select as many as appropriate)
|
| |
- Internal study population
|
|
Inclusion criteria
|
| |
All healthcare workers in Stockholm County employed >1 year
|
|
Enrollment
|
| |
Ongoing
|
|
Age range at entry (main cohort)
|
| |
| Minimum |
Maximum |
Mean |
| 17 |
75 |
40.1 |
|
|
Men at enrollment
|
| |
15,000
|
|
Women at enrollment
|
| |
45,000
|
|
Children (<18 years) at enrollment
|
| |
0
|
|
Men at last follow-up
|
| |
11,777
|
|
Women at last follow-up
|
| |
36,392
|
|
Children (<18 years) at last follow-up
|
| |
0
|
|
Participation rate at enrollment (if known)
|
| |
100
|
| 2. OUTCOME FOLLOW-UP |
|
Type of data for outcome follow-up (please select as many as appropriate)
|
| |
- Disease incidence records
- Hospital / physician diagnoses
- Use of registers (specify)
|
|
Disease incidence records (specify)
|
| |
- Death, cancer, Birth outcome, CVD, Common mental disorders, sick-leave
|
|
Specify: Use of registers
|
| |
- National and regional registers
|
|
First follow-up period (provide year)
|
| |
2008
|
|
Last follow-up period (provide year)
|
| |
2023
|
|
Number of follow-ups after baseline (provide number)
|
| |
1
|
|
Participation at last follow-up (if known)
|
| |
100
|
|
Comments
|
| |
Note: there is no personal identification in the cohort after matching to central registers. It is not possible to add more data from other registers.
|
| 3. OCCUPATIONAL EXPOSURES |
|
Source of exposure data collected (please select as many as appropriate)
|
| |
- Job-employment records
- Registry-based
|
|
Occupational history/time frame
|
| |
Follow-up period
|
|
Occupational coding performed
|
| |
Yes
|
|
Occupation (specify coding system used)
|
| |
- Job titles are available, most common titles are nurses and assistant nurses
|
|
Methods for exposure assessment (please select as many as appropriate)
|
| |
|
|
Specify: Other
|
| |
Registry based data on working hours day-by-day
|
|
Main categories
|
| |
- Organisation of work including working time
|
|
Organisation of work including working time | Shift work
|
| |
- Night (permanent or rotating)
- Rotating (not night)
- Regular/variable
|
|
Organisation of work including working time | Working hours
|
| |
- Duration
- Regular/variable
|
|
Comments
|
| |
Detailed data on working hours day-by day for entire study period. Smoking data available for women in the cohort who ever were pregnant.
|
| 4. OUTCOMES EVALUATED |
|
Baseline - type of outcome data collected (select more than one if applicable)
|
| |
|
|
Registry-based
|
| |
- Birth register
- Cancer incidence
- Hospital discharge
- Medication usage
- Mortality register
|
|
Follow-up - type of outcome data collected (select more than one if applicable)
|
| |
|
|
Registry-based
|
| |
- Birth register
- Cancer incidence
- Employment status
- Hospital discharge
- Medication usage
- Mortality register
- Migration
|
|
Outcome type (please select as many as appropriate)
|
| |
|
|
Diagnostic groups based on ICD10
|
| |
- C + D Neoplasms
- F Mental disorders
- G Disease in the nervous system
- I Heart disease
- I Cerebrovascular diseases
- O+P Pregnancy and labour
|
|
C + D Neoplasms
|
| |
- Malignant neoplasm of breast
- Malignant neoplasms of male genital organs
|
|
F Mental disorders
|
| |
|
|
G Disease in the nervous system
|
| |
|
|
I Heart disease
|
| |
- Acute myocardial infarction
|
|
I Cerebrovascular diseases
|
| |
- Intracerebral haemorrhage
- Cerebral infarction
- Stroke, not specified as haemorrhage or infarction
|
|
O+P Pregnancy and labour
|
| |
- Oedema, proteinuria and hypertensive disorders in pregnancy, childbirth and the puerperium
- Eclampsia in pregnancy, labour or puerperium
- Diabetes mellitus in pregnancy
- Preterm delivery
- Extremely low birth weight
- Other low birth weight
|
|
Other health related outcomes
|
| |
|
| 6. Other Information |
|
|
| |
- Demographics
- Education
- Socioeconomic status
- Smoking
|
|
Please describe plans that are funded or most likely to be funded
|
| |
The cohort has recently been updated to include employees hired up to 2023, new analyses are under way.
|