• Cohort, name
    BabyCare

    Cohort, abbreviation
    babycarecohort

    Cohort, country
    Germany (Deutschland)

    Cohort, website
    www.baby-care.de

    Date of filling in this questionnaire:
    2012-05-03

  • Principal investigator(s), name
    Dr. Wolf Kirschner

    Principal investigator(s), e-mail address
    wolf.kirschner@fb-e.de

    Principal investigator(s), institution
    Forschung Beratung + Evaluation c/o Charité

    Contact person(s), e-mail address
    wolf.kirschner@fb-e.de

    Contact person(s), institution address
    Augustenburger Platz 1 13353 Berlin

  • Main aim of cohort
    BabyCare is a program for the prevention of preterm birth (PB) started in 2000 in Germany in collaboration of FB+E an the clinics of obstetrics in Berlin (Charité) an Munich (Prof. Dudenhausen, Prof. Friese). The program comprises health information and education and health promotion including an important role for nutrition especially in relation to folic acid, iodine and iron. Beside a book the main instrument is a self administered questionnaire (see below), comprising all risk and protective factors of preterm birth and a diety history protocol. This questionnaire is filled in by participating pregnant women on the average in the 14th week of gestation. Up to now, more than 150.000 pregnant women have participated and more than 30.000 questionnaires comprising all relevant risk and protective factors of PD are available. From the women filling in the questionnaire we have the signed approval of 85% to do follow-up surveys. Thus about 25.000 mothers and children are available for cohort studies.We have already carried out one follow-up study in 2004 for methodological reasons and the next is planned at the end of this year. To emphasize momentarily a cohort does not yet exist, but there is the opportunity for research on about 25000 mothers and 26000 children aged now 0 to 12 years. For about 12.000 participants besides the questionnaire data the birth outcome (birth at week of gestation) is also available and documented by the gynaecologist.

    Recruited number of:
    26 children / 25 mothers / 0 fathers / 0 grand parents / 0 other family members

    Approximate proportion of source population included
    0

    Source population
    Nation-based

  • Period of enrollment
    Start: 0000-00-00, End: 0000-00-00

    Enrollment period
    Pregnancy, week 14 to 21

    Enrollment criteria, please specify
    Some 100 or so insurance providers and 1 000 of the 7 000 gynaecologists in Germany are co-operating with BabyCare and insurees and patients are invited to participate. Please find further infromation on our website www.baby-care.de in the field press/scientific publications.

    Exclusion criteria, please specify
    None

    Planned age of children at end of follow-up
    Life-long / unrestricted
General information ---------- Child age (years) at assessment ----------
<1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
Home address
School address
Birth outcomes
Birth weight
Birth length
Gestational age at birth
Apgar score
Congenital malformations
Stillbirth (>= 22 weeks)
Child’s sex
Head circumference
Biparietal diameter
Child exposures ---------- Child age (years) at assessment ----------
<1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
Breast feeding
Diet
Dietary supplements
Childcare attendance
Active smoking
Passive smoking
Alcohol consumption
Physical activity
Substance use
Medicine intake
Vaccinations
Psychological distress (e.g. bullying)
Air pollution
Access to green spaces
Built environment
Noise
Radiation, electromagnetic fields
Water contamination
Pets
Farm animal exposure
Biomarkers of exposure
Mercury
Lead
Cadmium
Arsenic
Other metals
Polychlorinated biphenyl esters
Dicloro difenil tricloroetano
Hexachlorobenzene
Brominated flame retardants
Perflouralkyl compounds
Bisphenol A
Other bisphenols
Parabens
Benzophenones
Triclosan
Phthalates
Cotinine
Child development and health ---------- Child age (years) at assessment ----------
<1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
Anthropometry
Weight
Height
Head circumference
Abdominal circumference
Arm circumference
Wrist circumference
Waist circumference
Clinical examinations
Blood pressure
Carotida intima media thickness
Pulse wave velocity
Cardiac ultrasound
Renal ultrasound
Brain MRI
Other MRI
DEXA‐scan results
Skin folds
Bio impedence
Oscilometry
Spirometry
Skin prick test
Bronchial challenge test
Reversibility test
Dental observations
Mental and neurological development
Cognitive function
School performance
Language
ADHD
Autism
Sleep disturbances
Mental health
Respiratory health
Asthma
Allergy
Allergic rhinitis
Eczema
Respiratory tract infections
Senses
Vision
Hearing
Musculo-skeletal health
Back pain
Neck pain
Growing pains
Sexual maturation
Tanner stage
Pubertal development stage
Age at menarche
Age at voice change
2D/4D digit ratio
Nocturnal ejaculation
Acne
Other health outcomes
Cancer
Diabetes
Congenital anomalies
Biomarkers of health
Nephrology (e.g. creatinine, albumin)
Thyroid hormones
Inflammatory markers (e.g. C-reactive protein cytokines)
Immunologic markers (e.g. immunoglobulines)
Cortisol
Vitamines and micronutrients
Gonadal axis hormones (e.g. testosterone, estradiol)
Metabolism (e.g. cholesterol, LDL, HDL, insulin, triglycerides)
Metabolomics
DNA methylation
Transcriptomics (mRNA, miRNA)
Genome-wide association study (GWAS)
Child biological samples ---------- Child age (years) at sampling ----------
At birth 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
Whole blood
Serum
Plasma
Buffy coat
Urine
Hair
Teeth
Nails
Saliva
Purified DNA
Purified RNA
Red blood cells
Umbilical cord blood/tissue
Blood smear
Faeces/meconium
Exhaled breathe condensate
Sputum induction
Placenta
General information
Pre-pregnancy During pregnancy <1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
EducationXX
IncomeXX
Employment status
Job title
Single parenthoodXX
Home address
Work address
Maternal characteristics related to the index pregnancy/child
Age at birth
Ethnicity
Country of birth
Planned pregnancy
Time to pregnancy
Fertility treatment
Prior spontaneous abortion (<22w)
Prior births
Ultrasound measurements
Doppler measurements
Preeclampsia
Gestational diabetes
Gestational hypertension
Gestational duration
Mode of delivery
Prenatal diagnostics
Medical termination of pregnancy
Maternal Exposures ---------- Timing of assessment ----------
Pre-pregnancy First trimester Second trimester Third trimester Post pregnancy
DietXX
Dietary supplementsXX
Active smokingXX
Passive smokingXX
Alcohol consumptionXX
Physical activityXX
Substance useXX
Medicine intakeXX
Coffee drinkingXX
Psychological distress (e.g. life-events, health behaviors, perceived stress)XX
Occupational exposuresXX
Heavy liftsXX
Work hours
Air pollution
Access to green spaces
Built environment
Noise
Radiation, electromagnetic fields
Water contamination
Binge drinkingXX
Pets
Farm animal exposure
Biomarkers of exposure
Mercury
Lead
Cadmium
Arsenic
Other metals
Polychlorinated biphenyl esters
Dicloro difenil tricloroetano
Hexachlorobenzene
Brominated flame retardants
Perflouralkyl compounds
Bisphenol A
Other bisphenols
Parabens
Benzophenones
Triclosan
Phthalates
Cotinine
Maternal health ---------- Timing of assessment ----------
Pre-pregnancy First trimester Second trimester Third trimester Post pregnancy
Anthropometry
WeightXX
HeightXX
Waist circumference
Clinical examinations
Blood pressureXX
Carotida intima media thickness
Pulse wave velocity
DEXA scans
Bioimpedence
Mental and neurological development
Mental healthXX
Cognitive function (e.g. intelligence quotient)
Respiratory health
Asthma
Allergy
Musculo‐skeletal diseaseXX
Back pain
Neck pain
Arthritis
Other health outcomes
CancerXX
DiabetesXX
Cardio‐vascular diseaseXX
Family history of chronic disease
Infectious diseaseXX
Fever
Autoimmune diseaseXX
Urinary symptoms
Sexual problems
Sleep disturbance
Biomarkers of health
Nephrology (e.g. creatinine, albumin)
Thyroid hormones
Inflammatory markers (e.g. C-reactive protein cytokines)
Immunologic markers (e.g. immunoglobulines)
Cortisol
Vitamines and micronutrients
Gonadal axis hormones (e.g. testosterone, estradiol)
Metabolism (e.g. cholesterol, LDL, HDL, insulin, triglycerides)
Metabolomics
DNA methylation
Transcriptomics (mRNA, miRNA)
Genome-wide association study (GWAS)
Maternal biological samples ---------- Timing of sampling ----------
Pre-pregnancy First trimester Second trimester Third trimester Post pregnancy
Breast milk
Whole blood
Serum
Plasma
Buffy coat
Urine
Hair
Nails
Saliva
Purified DNA
Purified RNA
Red blood cells
Faeces
General information
Pre-pregnancy During pregnancy <1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
Education
Income
Employment status
Job title
Single parenthood
Home address
Work address
Paternal characteristics related to the index pregnancy/child
Fertility treatment
Age at child's birth
Ethnicity
Country of birth
Paternal exposures ---------- Timing of assessment ----------
Pre-pregnancy During pregnancy Post pregnancy
Diet
Dietary supplements
Active smoking
Passive smoking
Alcohol consumption
Physical activity
Substance use
Medicine intake
Coffee drinking
Psychological distress (e.g. life-events, health behaviors, perceived stress)
Occupational exposures
Heavy lifts
Work hours
Air pollution
Access to green spaces
Built environment
Noise
Radiation, electromagnetic fields
Water contamination
Binge drinking
Pets
Farm animal exposure
Biomarkers of exposure
Mercury
Lead
Cadmium
Arsenic
Other metals
Polychlorinated biphenyl esters
Dicloro difenil tricloroetano
Hexachlorobenzene
Brominated flame retardants
Perflouralkyl compounds
Bisphenol A
Other bisphenols
Parabens
Benzophenones
Triclosan
Phthalates
Cotinine
Paternal health ---------- Timing of assessment ----------
Pre-pregnancy During pregnancy Post pregnancy
Anthropometry
Weight
Height
Waist circumference
Clinical examinations
Blood pressure
Carotida intima media thickness
Pulse wave velocity
DEXA scans
Bio impedence
Mental and neurological development
Mental health
Cognitive function (e.g. intelligence quotient)
Respiratory health
Asthma
Allergy
Musculo‐skeletal disease
Back pain
Neck pain
Arthritis
Other health outcomes
Cancer
Diabetes
Cardio‐vascular disease
Family history of chronic disease
Infectious disease
Fever
Autoimmune disease
Urinary symptoms
Sexual problems
Sleep disturbance
Biomarkers of health
Nephrology (e.g. creatinine, albumin)
Thyroid hormones
Inflammatory markers (e.g. C-reactive protein cytokines)
Immunologic markers (e.g. immunoglobulines)
Cortisol
Vitamines and micronutrients
Gonadal axis hormones (e.g. testosterone, estradiol)
Metabolism (e.g. cholesterol, LDL, HDL, insulin, triglycerides)
Metabolomics
DNA methylation
Transcriptomics (mRNA, miRNA)
Genome-wide association study (GWAS)
Paternal biological samples ---------- Timing of sampling ----------
Pre-pregnancy During pregnancy Post pregnancy
Semen
Whole blood
Serum
Plasma
Buffy coat
Urine
Hair
Nails
Saliva
Purified DNA
Purified RNA
Red blood cells
Faeces
Comments and ideas
As the dataset comprises nutritional an supplemental data cohort research can be especially focused on associations between nutrition in pregnancy and health status of children. Our first research question will be if there is an association between the use of folic acid and the incidence of asthma. However the cohort is open for all interesting research questions.