• Cohort, name
    Southampton Women's Survey

    Cohort, abbreviation
    SWS

    Cohort, country
    United Kingdom

    Cohort, website
    http://www.swsurvey.soton.ac.uk

    Key reference
    Inskip HM, Godfrey KM, Robinson SM, Law CM, Barker DJ, Cooper C. Cohort profile: The Southampton Women's Survey. Int J Epidemiol 2006;90:42-48

    Date of filling in this questionnaire:
    2017-09-29

  • Principal investigator(s), name
    Hazel Inskip

    Principal investigator(s), e-mail address
    hmi@mrc.soton.ac.uk

    Principal investigator(s), institution
    MRC Lifecourse Epidemiology Unit, University of southampton

    Contact person(s), name
    Hazel Inskip

    Contact person(s), e-mail address
    hmi@mrc.soton.ac.uk

    Contact person(s), institution address
    MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton SO16 6YD, UK

  • Main aim of cohort
    Maternal pre-conceptional and pregnancy factors: diet, physical activity, body composition, hormonal levels, genetics, epigenetics. Childhood growth, respiratory health, body composition, cardiovascular health

    Recruited number of:
    3158 children / 12583 mothers / 3158 fathers / 0 grand parents / 0 other family members

    Approximate proportion of source population included
    75

    Source population
    Region-based

  • Period of enrollment
    Start: 1998-04-06, End: 2002-12-17

    Enrollment period
    Pre pregnancy  to

    Enrollment criteria, please specify
    Women aged 20-34 years who were not pregnant

    Exclusion criteria, please specify
    Any for whom the general practitioner decided that inclusion would be inappropriate. Current pregnancy

    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 weightX
Birth lengthX
Gestational age at birthX
Apgar scoreX
Congenital malformationsX
Stillbirth (>= 22 weeks)X
Child’s sexX
Head circumferenceX
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 feedingXXXX
DietXXXXXXX
Dietary supplementsXXXXXX
Childcare attendanceX
Active smoking
Passive smokingXXXXXXX
Alcohol consumption
Physical activityXXXXX
Substance use
Medicine intakeXXXX
VaccinationsX
Psychological distress (e.g. bullying)X
Air pollution
Access to green spaces
Built environment
Noise
Radiation, electromagnetic fields
Water contamination
PetsXXX
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
WeightXXXXXXXX
HeightXXXXXXXX
Head circumferenceXXXXXXX
Abdominal circumferenceXXXXXXX
Arm circumferenceXXXXXXXX
Wrist circumference
Waist circumferenceX
Clinical examinations
Blood pressureXXX
Carotida intima media thicknessX
Pulse wave velocityX
Cardiac ultrasoundX
Renal ultrasound
Brain MRI
Other MRIX
DEXA‐scan resultsXXXXX
Skin foldsXXXXXXX
Bio impedenceX
Oscilometry
SpirometryX
Skin prick testXXX
Bronchial challenge testX
Reversibility testX
Dental observationsXXX
Mental and neurological development
Cognitive functionXXX
School performance
Language
ADHD
Autism
Sleep disturbancesXXXXX
Mental healthXX
Respiratory health
AsthmaXXXXXX
AllergyXXX
Allergic rhinitisX
EczemaXXXX
Respiratory tract infectionsXXXXXX
Senses
Vision
Hearing
Musculo-skeletal health
Back pain
Neck pain
Growing pains
Sexual maturation
Tanner stageX
Pubertal development stageX
Age at menarcheX
Age at voice change
2D/4D digit ratio
Nocturnal ejaculation
Acne
Other health outcomes
Cancer
Diabetes
Congenital anomaliesX
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 methylationX
Transcriptomics (mRNA, miRNA)
Genome-wide association study (GWAS)X
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 bloodX
SerumX
PlasmaX
Buffy coat
Urine
Hair
Teeth
Nails
SalivaX
Purified DNA
Purified RNA
Red blood cells
Umbilical cord blood/tissueX
Blood smearX
Faeces/meconium
Exhaled breathe condensate
Sputum induction
PlacentaX
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
EducationX
Income
Employment statusX
Job titleX
Single parenthoodX
Home address
Work address
Maternal characteristics related to the index pregnancy/child
Age at birthX
EthnicityX
Country of birth
Planned pregnancy
Time to pregnancy
Fertility treatment
Prior spontaneous abortion (<22w)
Prior birthsX
Ultrasound measurementsX
Doppler measurementsX
PreeclampsiaX
Gestational diabetesX
Gestational hypertensionX
Gestational durationX
Mode of deliveryX
Prenatal diagnostics
Medical termination of pregnancy
Maternal Exposures ---------- Timing of assessment ----------
Pre-pregnancy First trimester Second trimester Third trimester Post pregnancy
DietXXXX
Dietary supplementsXXXX
Active smokingXXXX
Passive smokingX
Alcohol consumptionXXX
Physical activityXXXX
Substance use
Medicine intakeXX
Coffee drinkingXXX
Psychological distress (e.g. life-events, health behaviors, perceived stress)XX
Occupational exposures
Heavy liftsX
Work hoursXXX
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
WeightXX
HeightX
Waist circumferenceXXX
Clinical examinations
Blood pressureXXX
Carotida intima media thickness
Pulse wave velocity
DEXA scansX
Bioimpedence
Mental and neurological development
Mental healthXX
Cognitive function (e.g. intelligence quotient)X
Respiratory health
AsthmaX
AllergyX
Musculo‐skeletal disease
Back pain
Neck pain
Arthritis
Other health outcomes
Cancer
DiabetesXX
Cardio‐vascular diseaseX
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 micronutrientsXXX
Gonadal axis hormones (e.g. testosterone, estradiol)
Metabolism (e.g. cholesterol, LDL, HDL, insulin, triglycerides)
Metabolomics
DNA methylationX
Transcriptomics (mRNA, miRNA)
Genome-wide association study (GWAS)X
Maternal biological samples ---------- Timing of sampling ----------
Pre-pregnancy First trimester Second trimester Third trimester Post pregnancy
Breast milk
Whole bloodXXX
SerumXXX
Plasma
Buffy coat
UrineX
Hair
Nails
SalivaX
Purified DNAXXX
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 statusX
Job titleX
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 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 hoursXX
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
WeightXX
HeightXX
Waist circumference
Clinical examinations
Blood pressure
Carotida intima media thickness
Pulse wave velocity
DEXA scansX
Bio impedence
Mental and neurological development
Mental health
Cognitive function (e.g. intelligence quotient)
Respiratory health
AsthmaX
AllergyX
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 bloodX
Serum
Plasma
Buffy coat
Urine
Hair
Nails
Saliva
Purified DNAX
Purified RNA
Red blood cells
Faeces
Comments and ideas
The SWS recruited women from the general population, whether or not they intended to become pregnant. Those who subsequently became pregnant were followed through the pregnancy and the children are being studied through childhood. Due to the nature of recruitment the age span of the children is nine years, so many waves of the study are taking place concurrently and complete datasets are only available on the earlier part of the cohort. The SWS also has detailed body composition data on the mothers and children at many time points.