• Cohort, name
    Healthy Habits for two

    Cohort, abbreviation
    HHf2

    Cohort, country
    Denmark (Danmark)

    Key reference
    J. Olsen, G. Frische, A.O. Poulsen and H. Kirchheiner, Changing smoking, drinking, and eating behaviour among pregnant women in Denmark. Evaluation of a health campaign in a local region. Scand J Soc Med, 17 (1989), pp. 277–280.

    Date of filling in this questionnaire:
    2011-10-26

  • Principal investigator(s), name
    Jørn Olsen

    Principal investigator(s), e-mail address
    jo@soci.au.dk

    Principal investigator(s), institution
    The Danish Epidemiology Science Centre

    Contact person(s), name
    Jørn Olsen, Bodil Hammer Bech, Ellen Aagaard Nøhr, Cecilia Ramlau-Hansen

    Contact person(s), e-mail address
    jo@soci.au.dk

    Contact person(s), institution address
    Department of Public Health, Section of Epidemiology, Aarhus University, Bartholins Allé 2, 8000 Aarhus C, DK

  • Main aim of cohort
    Started as a community trial in two cities in Denmark. Odense (health intervention), Aalborg (control). Intervention had no effect. Have been used as a birth cohort ever since.

    Recruited number of:
    11144 children / 11980 mothers / 11500 fathers / 0 grand parents / 0 other family members

    Approximate proportion of source population included
    87

    Source population
    Region-based

  • Period of enrollment
    Start: 1984-04-01, End: 1987-04-01

    Enrollment period
    Pregnancy, week 35 to 38

    Enrollment criteria, please specify
    All pregnant women attending 2 midwife centres in either Aalborg or Odense.

    Exclusion criteria, please specify
    Twin pregnancies Stillborn

    Planned age of children at end of follow-up
    18-21 years
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 weightX
Birth lengthX
Gestational age at birthX
Apgar scoreX
Congenital malformationsX
Stillbirth (>= 22 weeks)
Child’s sexX
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 feedingXX
DietX
Dietary supplements
Childcare attendanceXXXXXXX
Active smokingXXXX
Passive smokingXXXX
Alcohol consumptionX
Physical activityX
Substance useX
Medicine intakeXXXXXXXXXXXXXXXXXXX
VaccinationsXXXXXXXXXXXXX
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
WeightXXXX
HeightXXXX
Head circumferenceX
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 functionXXXXXXXXXXXXXXXXXXX
School performanceXXXXXXXXXXXXXXX
LanguageXXXXXXX
ADHD
Autism
Sleep disturbances
Mental healthX
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
CancerX
DiabetesX
Congenital anomaliesXXXXXXXXXXXXXXXXXXX
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
Income
Employment status
Job title
Single parenthood
Home address
Work address
Maternal characteristics related to the index pregnancy/child
Age at birthX
Ethnicity
Country of birth
Planned pregnancy
Time to pregnancyX
Fertility treatmentX
Prior spontaneous abortion (<22w)X
Prior birthsX
Ultrasound measurements
Doppler measurements
PreeclampsiaX
Gestational diabetes
Gestational hypertension
Gestational durationX
Mode of deliveryX
Prenatal diagnosticsX
Medical termination of pregnancyX
Maternal Exposures ---------- Timing of assessment ----------
Pre-pregnancy First trimester Second trimester Third trimester Post pregnancy
DietXXX
Dietary supplementsXXX
Active smokingXXX
Passive smokingXXXXX
Alcohol consumptionXX
Physical activityX
Substance use
Medicine intakeXXX
Coffee drinkingXXXX
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 drinkingXXX
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 pressure
Carotida intima media thickness
Pulse wave velocity
DEXA scans
Bioimpedence
Mental and neurological development
Mental healthXXX
Cognitive function (e.g. intelligence quotient)
Respiratory health
Asthma
Allergy
Musculo‐skeletal diseaseXXX
Back pain
Neck pain
Arthritis
Other health outcomes
CancerXXX
DiabetesXXX
Cardio‐vascular diseaseXXX
Family history of chronic disease
Infectious disease
Fever
Autoimmune diseaseXXX
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 birthX
Ethnicity
Country of birth
Paternal exposures ---------- Timing of assessment ----------
Pre-pregnancy During pregnancy Post pregnancy
Diet
Dietary supplements
Active smokingXX
Passive smokingXX
Alcohol consumptionX
Physical activity
Substance use
Medicine intake
Coffee drinking
Psychological distress (e.g. life-events, health behaviors, perceived stress)
Occupational exposuresX
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
The data stems from datacollection during pregnancy and 2 postal follow-ups, one when the child was 15-18 years old filled out by the mothers (2002), and one when the child was 18-21 years old, filled out by themselves (2005). We have English versions of the questionnaires that can be downloaded from the website of our department.