Birthcohort | Birthcohorts

Cohort, name
All Our Families Study

Cohort, abbreviation
AOF

Cohort, country
Canada

Cohort, website
http://allourfamiliesstudy.com/

Cohort, facebook-site
https://www.facebook.com/allourfamiliesstudy/

Date of filling in this questionnaire:
2018-05-22
Principal investigator(s), name
Suzanne Tough

Principal investigator(s), e-mail address
stough@ucalgary.ca

Principal investigator(s), institution
Owerko Centre | Child Development Centre | #389, 3820 - 24 Avenue NW | Calgary, AB | T3B 2X9

Contact person(s), name
Muci Wu

Contact person(s), e-mail address
muci.wu@ucalgary.ca

Contact person(s), institution address
Owerko Centre | Child Development Centre | #380, 3820 - 24 Avenue NW | Calgary, AB | T3B 2X9

Main aim of cohort
All Our Families (AOF) is a community-based, longitudinal pregnancy cohort (n=3387) developed to investigate the relationships between the prenatal and early life periods and outcomes for infants, children and mothers. AOF spans pregnancy, birth and early postpartum through childhood, and therefore provides the unique opportunity to describe the relations between prenatal events and early life development and to examine key factors that influence child and mother well-being over time. Through recognition of the unique opportunity to continue to collect relevant life course information on a large cohort of families, the main objectives of AOF have evolved to include the following: 1. Investigate maternal and infant outcomes during the perinatal period, with a particular emphasis on barriers and facilitators to accessing health care services in Calgary, Alberta; 2. Examine biological and environmental determinants of adverse birth outcomes, specifically spontaneous preterm birth; 3. Further investigate risk and protective factors for optimal child development, and to understand the trajectory and impact of poor maternal mental health over time. To date, mothers have completed two questionnaires during pregnancy, and then follow ups at 4 months, 1, 2, 3, 5 and 8 years post-birth. A subgroup within the cohort (n=1800) participated in the ‘prediction of preterm birth’ component and provided blood samples during pregnancy and an umbilical cord blood sample. Most recently, AOF collected information on the impact of the COVID-19 pandemic over three data collections from participants in the study, and for the very first time, their youth. Participants shared their COVID-19 experiences from early pandemic to 18 months after the beginning of the pandemic. The continuation of follow-up to 13 years is in development.

Recruited number of:
3387 children / 3387 mothers / 0 fathers / 0 grand parents / 0 other family members

Approximate proportion of source population included
0

Source population
Region-based
Period of enrollment
Start: 2008-05-01, End: 2011-05-31

Enrollment period
Pregnancy, week 20 to 24

Enrollment criteria, please specify
Women were eligible if they were less than 24 weeks and 6 days gestation age at the time of recruitment, at least 18 years of age, receiving prenatal care in Calgary, and able to complete the questionnaires in English.

Planned age of children at end of follow-up
Life-long / unrestricted

Questionnaire or registry data and biological samples

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									X

Birth outcomes
Birth weight	X
Birth length	X
Gestational age at birth	X
Apgar score	X
Congenital malformations	X
Stillbirth (>= 22 weeks)	X
Child’s sex	X
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	>18
Breast feeding	X	X
Diet	X	X	X	X		X			X
Dietary supplements
Childcare attendance	X	X	X	X		X
Active smoking
Passive smoking	X	X	X	X		X			X
Alcohol consumption
Physical activity				X		X			X
Substance use
Medicine intake			X	X		X			X
Vaccinations	X	X	X	X		X			X
Psychological distress (e.g. bullying)									X
Air pollution
Access to green spaces
Built environment
Noise
Radiation, electromagnetic fields
Water contamination
Pets						X			X
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
Height		X	X	X		X			X
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				X		X
Mental and neurological development
Cognitive function		X	X	X		X			X
School performance						X			X
Language		X	X	X		X
ADHD				X		X			X
Autism				X		X			X
Sleep disturbances		X	X	X		X			X
Mental health			X	X		X			X
Respiratory health
Asthma			X	X		X
Allergy			X	X		X
Allergic rhinitis
Eczema				X		X
Respiratory tract infections
Senses
Vision				X		X
Hearing						X
Musculo-skeletal health
Back pain									X
Neck pain									X
Growing pains									X
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	X			X
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	>18
Whole blood
Serum
Plasma
Buffy coat
Urine
Hair
Teeth
Nails
Saliva
Purified DNA
Purified RNA
Red blood cells
Umbilical cord blood/tissue	X
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	X	X		X					X
Income		X				X		X			X
Employment status		X	X	X		X		X			X
Job title								X
Single parenthood		X		X	X	X		X			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	X
Fertility treatment	X
Prior spontaneous abortion (<22w)	X
Prior births	X
Ultrasound measurements
Doppler measurements
Preeclampsia	X
Gestational diabetes	X
Gestational hypertension	X
Gestational duration	X
Mode of delivery	X
Prenatal diagnostics
Medical termination of pregnancy	X

Maternal Exposures	---------- Timing of assessment ----------
	Pre-pregnancy	First trimester	Second trimester	Third trimester	Post pregnancy
Diet			X	X
Dietary supplements
Active smoking	X	X	X	X	X
Passive smoking			X	X	X
Alcohol consumption	X	X	X	X	X
Physical activity	X		X	X	X
Substance use	X	X	X	X	X
Medicine intake			X	X	X
Coffee drinking
Psychological distress (e.g. life-events, health behaviors, perceived stress)			X	X	X
Occupational exposures				X
Heavy lifts
Work hours				X	X
Air pollution
Access to green spaces
Built environment
Noise
Radiation, electromagnetic fields
Water contamination
Binge drinking	X	X	X	X	X
Pets					X
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	X	X
Height	X		X
Waist circumference
Clinical examinations
Blood pressure					X
Carotida intima media thickness
Pulse wave velocity
DEXA scans
Bioimpedence
Mental and neurological development
Mental health	X		X	X	X
Cognitive function (e.g. intelligence quotient)
Respiratory health
Asthma
Allergy
Musculo‐skeletal disease
Back pain					X
Neck pain					X
Arthritis					X
Other health outcomes
Cancer					X
Diabetes				X	X
Cardio‐vascular disease					X
Family history of chronic disease
Infectious disease
Fever
Autoimmune disease
Urinary symptoms					X
Sexual problems
Sleep disturbance					X
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			X	X
Serum			X	X
Plasma			X	X
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	X
Ethnicity	X
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

Comments and ideas
AOF participants reflect the pregnant and parenting population at local and provincial levels, and perinatal indicators from the study are comparable to perinatal surveillance data. Overall, AOF has collected detailed data on a vast array of domains including mental health, lifestyle, neighborhood, pregnancy, parenting, child development, family life, recreation, screen time, sleep and use of services, and the impact of the COVID-19 pandemic on children and families. AOF variables are available to access for secondary data analysis. Researchers interested in accessing the AOF dataset can contact AOF for more information, Alternatively, AOF data variables can be found and are catalogued in full here: https://www.maelstrom-research.org/study/aob.