Identification

• Cohort, name
  Childhood Obesity - Early Programming by Infant Nutrition
  
  Cohort, abbreviation
  CHOP
  
  Cohort, country
  Germany (Deutschland)
  
  Cohort, website
  http://www.metabolic-programming.org/obesity/ http://clinicaltrials.gov/ct2/show/NCT00338689?term=NCT00338689&rank=1
  
  Key reference
  Koletzko B, et al. Lower protein in infant formula is associated with lower weight up to age 2 y: a randomized clinical trial. Am J Clin Nutr 2009;89(6):1836-45
  
  Date of filling in this questionnaire:
  2018-07-05
  
  
• Principal investigator(s), name
  Berthold Koletzko
  
  Principal investigator(s), e-mail address
  office.koletzko@med.uni-muenchen.de
  
  Principal investigator(s), institution
  Div. Metabolic and Nutritional Medicine, Dr. von Hauner Children’s Hospital, Ludwig-Maximilians-University of Munich
  
  Contact person(s), name
  Berthold Koletzko, Veit Grote, Martina Totzauer
  
  Contact person(s), e-mail address
  office.koletzko@med.uni-muenchen.de; Veit.Grote@med.uni-muenchen.de; Martina.Totzauer@med.uni-muenchen.de
  
  Contact person(s), institution address
  Div. Metabolic and Nutritional Medicine, Dr. von Hauner Children’s Hospital, Ludwig-Maximilians-University of Munich Medical Center, Lindwurmstrasse 4, D-80337 Muenchen, Germany
  
  

Basic description

• Main aim of cohort
  The EU Childhood Obesity Programme allowed, for the first time, a one year multicentre intervention trial on new-born infants, to see whether feeding infant formulae, which differ in their level of milk proteins , can influence the risk of later childhood obesity. The trial took place in five countries with different habitual total protein intakes to increase the range of protein intakes and improving the statistical power to test the 'early protein hypothesis' (i.e. Early protein intake predicts infant growth and later risk of childhood obesity).
  
  Recruited number of:
  1678 children / 1678 mothers / 1678 fathers / 0 grand parents / 502 other family members
  
  Approximate proportion of source population included
  0
  
  Source population
  Other, please describestudy center based (Belgium 2 ,Germany 2, Italy 1, Poland 1, Spain 2 study centers)
  
  
• Period of enrollment
  Start: 2002-10-01, End: 2004-07-31
  
  Enrollment period
  Later, month 0 to 2
  
  Enrollment criteria, please specify
  Eligibility: •Ages eligible for study: up to 8 weeks •Genders eligible for study: Both •Accepts healthy volunteers: Yes ; Inclusion Criteria: •Gestational age > 37 weeks •Appropriate for gestational age (above 10th percentile,Lubchenko) •Age of the mother at least 18 years •Singleton pregnancies •Residence in the study area •Maternal command of the language
  
  Exclusion criteria, please specify
  •Gestational diabetes •Major malformations (of the child) which might interfere with nutrition or growth •Hormonal or metabolic diseases of the mother or the child •drug addiction during pregnancy
  
  Planned age of children at end of follow-up
  11 yearsLife-long / unrestricted

Questionnaire or registry data and biological samples

• Children
• Mothers
• Fathers

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	>18
Home address
School address

Birth outcomes
Birth weight	X
Birth length	X
Gestational age at birth	X
Apgar score
Congenital malformations
Stillbirth (>= 22 weeks)
Child’s sex	X
Head circumference	X
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	>18
Breast feeding	X	X
Diet	X	X	X	X	X	X	X		X
Dietary supplements	X	X	X	X	X	X	X	X	X
Childcare attendance
Active smoking
Passive smoking
Alcohol consumption
Physical activity				X	X	X	X		X			X
Substance use
Medicine intake	X	X	X					X	X
Vaccinations
Psychological distress (e.g. bullying)							X					X
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	>18
Anthropometry
Weight	X	X	X	X	X	X	X	X	X			X
Height	X	X	X	X	X	X	X	X	X			X
Head circumference	X	X	X	X	X	X	X	X	X			X
Abdominal circumference
Arm circumference	X	X	X	X	X	X	X	X	X			X
Wrist circumference	X	X	X	X	X	X	X	X	X			X
Waist circumference	X	X	X	X	X	X	X	X	X			X
Clinical examinations
Blood pressure				X	X	X	X	X	X			X
Carotida intima media thickness						X						X
Pulse wave velocity
Cardiac ultrasound
Renal ultrasound	X					X						X
Brain MRI
Other MRI
DEXA‐scan results								X				X
Skin folds	X	X	X	X	X	X	X	X	X			X
Bio impedence						X	X	X	X			X
Oscilometry
Spirometry
Skin prick test
Bronchial challenge test
Reversibility test
Dental observations												X
Mental and neurological development
Cognitive function							X		X
School performance
Language									X
ADHD								X	X
Autism
Sleep disturbances	X	X
Mental health							X	X	X			X
Respiratory health
Asthma								X	X			X
Allergy								X	X			X
Allergic rhinitis								X	X			X
Eczema	X	X	X					X	X			X
Respiratory tract infections
Senses
Vision
Hearing
Musculo-skeletal health
Back pain
Neck pain
Growing pains
Sexual maturation
Tanner stage
Pubertal development stage												X
Age at menarche												X
Age at voice change												X
2D/4D digit ratio
Nocturnal ejaculation
Acne
Other health outcomes
Cancer
Diabetes
Congenital anomalies
Biomarkers of health
Nephrology (e.g. creatinine, albumin)	X						X		X			X
Thyroid hormones
Inflammatory markers (e.g. C-reactive protein cytokines)							X		X			X
Immunologic markers (e.g. immunoglobulines)
Cortisol
Vitamines and micronutrients
Gonadal axis hormones (e.g. testosterone, estradiol)
Metabolism (e.g. cholesterol, LDL, HDL, insulin, triglycerides)							X		X			X
Metabolomics	X						X		X			X
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	>18
Whole blood			X					X		X			X
Serum													X
Plasma
Buffy coat
Urine			X					X					X
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
Education			X
Income
Employment status			X						X
Job title			X
Single parenthood			X
Home address
Work address

Maternal characteristics related to the index pregnancy/child
Age at birth	X
Ethnicity	X
Country of birth	X
Planned pregnancy	X
Time to pregnancy
Fertility treatment	X
Prior spontaneous abortion (<22w)
Prior births	X
Ultrasound measurements
Doppler measurements
Preeclampsia
Gestational diabetes
Gestational hypertension
Gestational duration	X
Mode of delivery	X
Prenatal diagnostics
Medical termination of pregnancy

Maternal Exposures	---------- Timing of assessment ----------
	Pre-pregnancy	First trimester	Second trimester	Third trimester	Post pregnancy
Diet					X
Dietary supplements
Active smoking	X	X	X	X	X
Passive smoking
Alcohol consumption	X	X	X	X	X
Physical activity					X
Substance use
Medicine intake		X	X	X	X
Coffee drinking
Psychological distress (e.g. life-events, health behaviors, perceived stress)		X	X	X	X
Occupational exposures
Heavy lifts
Work hours					X
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

Maternal health	---------- Timing of assessment ----------
	Pre-pregnancy	First trimester	Second trimester	Third trimester	Post pregnancy
Anthropometry
Weight	X				X
Height					X
Waist circumference					X
Clinical examinations
Blood pressure					X
Carotida intima media thickness
Pulse wave velocity
DEXA scans
Bioimpedence
Mental and neurological development
Mental health					X
Cognitive function (e.g. intelligence quotient)
Respiratory health
Asthma					X
Allergy					X
Musculo‐skeletal disease
Back pain
Neck pain
Arthritis
Other health outcomes
Cancer
Diabetes
Cardio‐vascular disease					X
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)

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			X
Income
Employment status			X						X
Job title			X
Single parenthood
Home address
Work address

Paternal characteristics related to the index pregnancy/child
Fertility treatment
Age at child's birth	X
Ethnicity	X
Country of birth	X

Paternal exposures	---------- Timing of assessment ----------
	Pre-pregnancy	During pregnancy	Post pregnancy
Diet
Dietary supplements
Active smoking			X
Passive smoking
Alcohol consumption
Physical activity			X
Substance use
Medicine intake
Coffee drinking
Psychological distress (e.g. life-events, health behaviors, perceived stress)
Occupational exposures
Heavy lifts
Work hours			X
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			X
Height			X
Waist circumference			X
Clinical examinations
Blood pressure			X
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			X
Allergy			X
Musculo‐skeletal disease
Back pain
Neck pain
Arthritis
Other health outcomes
Cancer
Diabetes
Cardio‐vascular disease			X
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

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