1. IDENTIFICATION & BASIC DESCRIPTION |
Cohort name
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Biology, Affect, Stress, Imaging and Cognition (BASIC)
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Country
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Please provide any other information on the cohort location/s if needed
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Uppsala
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Name
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Alkistis Skalkidou
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Institution
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Uppsala University
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Email
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alkistis.skalkidou@kbh.uu.se
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Phone
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+4618-611 5679
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Website
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- https://www.basicstudie.se/
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Name of committee
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Regional Ethical Review Board in Uppsala (Reference number 2009/171)
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Upload files
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Contact Principal Investigator (name)
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Alkistis Skalkidou
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Data access policy (briefly describe)
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Researchers need to contact the principal investigator for data access
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Is this cohort part of a consortium? (name consortium)
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International Postpartum depression: Action towards Causes and Treatment (PACT); Birth Cohorts
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Participation in pooled analyses
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- 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).
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Main aim of cohort, please briefly describe the main objectives of the cohort
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The purpose of the BASIC study is to enrich and expand our knowledge on the pathophysiological processes underlying perinatal depression (PND) and also to pinpoint both epidemiological and biolog-ical predictors of the disease in order to improve early detection.
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Study design (please select as many as appropriate)
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Source population (please select as many as appropriate)
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Comparators (please select as many as appropriate)
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- Internal study population
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Inclusion criteria
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Being pregnant
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Exclusion criteria
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1)age below 18 years, 2)insufficient ability to read and understand Swedish,3) protected identity, 4) known bloodborne infections and/or 5) non-viable pregnancy as diagnosed by routine ultrasound.
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Enrollment
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Completed
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Age range at entry (main cohort)
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Minimum |
Maximum |
Mean |
18 |
48 |
31.5 |
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Age range at entry (subcohort)
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Minimum |
Maximum |
Mean |
Please describe |
19 |
44 |
31 |
Nested case–control group |
18 |
48 |
33 |
Elective caesarean subgroup |
19 |
48 |
31 |
Cortisol subgroups |
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Men at enrollment
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N/A
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Women at enrollment
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6478 pregnancies
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Children (<18 years) at enrollment
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N/A
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Men at last follow-up
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N/A
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Women at last follow-up
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3845
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Children (<18 years) at last follow-up
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N/A
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Participation rate at enrollment (if known)
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20
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Comments
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Between September 2009 and November 2018, women during 31 687 pregnancies have been invited to the study. In 6478 of these pregnancies, the women chose to participate (consent rate 20.4%).
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2. OUTCOME FOLLOW-UP |
Type of data for outcome follow-up (please select as many as appropriate)
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- Active (contact with participants)
- Hospital / physician diagnoses
- Use of registers (specify)
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Active (contact with participants) (specify)
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- Internet-based surveys are sent to all participants at baseline, at gestational week 32, and post-partum at 6weeks, 6months and 12 months. Biological samples are collected at several of these points and at childbirth.
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Hospital / Physician diagnoses (specify)
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- information provided from medical journals
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Specify: Use of registers
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- Perinatal health information, especially regarding childbirth, is gathered continuously through linkage to medical journals. Data from national health registers.
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First follow-up period (provide year)
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14-16 weeks after baseline
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Last follow-up period (provide year)
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1 year after birth
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Number of follow-ups after baseline (provide number)
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4
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Participation at last follow-up (if known)
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71
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Comments
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82% of the participants who were included at baseline provided data after 14-16 weeks. The follow-up rate is 83.7% at 6 weeks postpartum, 77.7% at 6 months postpartum and 59.4% at the last follow-up at 12 months.
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3. OCCUPATIONAL EXPOSURES |
Source of exposure data collected (please select as many as appropriate)
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- Questionnaire, Personal (Self-reporting or interview)
- Registry-based
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Occupational history/time frame
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Current, at enrollment
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Occupational coding performed
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No
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4. OUTCOMES EVALUATED |
Baseline - type of outcome data collected (select more than one if applicable)
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- Death certificates
- Medical records
- Questionnaire, individual (self-recording or interview)
- Registry-based
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Registry-based
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- Birth register
- Disease specific clinical database
- Employment status
- Hospital discharge
- Medication usage
- Mortality register
- Migration
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Follow-up - type of outcome data collected (select more than one if applicable)
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- Biomarker (specify)
- Clinical/functional evaluation, e.g. spirometry, ECGs (specify)
- Medical records
- Questionnaire, individual (self-recording or interview)
- Registry-based
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Specify: Clinical/functional evaluation, e.g. spirometry, ECGs
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HRV, bioimpedance, blood pressure
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Specify: Biomarker
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inflammatory biomarkers, cortisol, genome, metabolomic
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Registry-based
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- Birth register
- Disease specific clinical database
- Employment status
- Hospital discharge
- Medication usage
- Mortality register
- Migration
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Outcome type (please select as many as appropriate)
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Diagnostic groups based on ICD10
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- F Mental disorders
- O+P Pregnancy and labour
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F Mental disorders
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- Mood [affective] disorders
- Depression
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O+P Pregnancy and labour
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- Eclampsia in pregnancy, labour or puerperium
- Complications of labour and delivery
- Preterm delivery
- Extremely low birth weight
- Other low birth weight
- Exceptionally large baby
- Birth trauma
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Other health related outcomes
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- Biomarkers
- Lifestyle change
- Quality of life/wellbeing
- Sickness absence
- Sleep
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5. BIOLOGICAL SAMPLES & ANALYSIS |
Biological samples collected
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Specify: Other
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umbilical cord biopsy, placental biopsy, amniotic fluid, microbiota samples, cerebrospinal fluid,
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Biological processing
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Genetic and other lab analyses
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- Biomarkers (specify)
- Epigenomics
- Genomics / GWAS
- Genomics / Other genetics (specify)
- Metabolomics
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Specify: Biomarkers
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inflammatory analyses
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Specify: Other genetics
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single nucleotide polymorphism
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6. Other Information |
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- Alcohol
- Diet
- Education
- Medical history
- Personality
- Physical exercise
- Residential history
- Socioeconomic status
- Smoking
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Possibility for linkage to data registries/data enrichment via data linkage
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- Birth register
- Disease specific clinical database
- Employment status
- Hospital discharge
- Medication usage
- Migration
- Mortality register
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