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Singapore PREconception Study of Long-Term Maternal and Child Outcomes (S-PRESTO)
Singapore PREconception Study of Long-Term Maternal and Child Outcomes logo
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Sample details

S-PRESTO investigates pre-pregnancy influences on maternal and child health. 1039 Chinese, Malay or Indian (or any combinations thereof) women aged 18–45 years, intending to conceive and deliver in Singapore were recruited between 2015 and 2017. During pregnancy, six visits were conducted between 6- and 36-weeks’ gestation in the 475 women who successfully conceived. After delivery, offspring were examined at regular intervals from birth until 8 years of age. The mothers were followed up from preconception until 8 years postpartum, and their partners were also seen across multiple timepoints from preconception until postnatal year 2.

Study design
Cohort - primary caregiver and child

Number of participants at first data collection

1,039 (mothers)

373 (children)

298 (partners)

Age at first data collection

Birth (children)

18 - 45 years (mothers)

Participant year of birth

Varied (participants)

Participant sex
Female

Representative sample at baseline?
The S-PRESTO study draws from the three major Asian ethnic groups that represent 50% of the global population.

Sample features

Mother and child dyad
Pregnant people
Dataset details

Country

Singapore

Year of first data collection

2015

Primary Institutions

National University Health System (NUHS)

Singapore Institute for Clinical Sciences (SICS)

Links

gustodatavault.sg/about/spresto

gusto.sg/

classic.clinicaltrials.gov/ct2/show/NCT03531658

Funders

National Medical Research Council (NMRC)

National Research Foundation (NRF)

Singapore Institute for Clinical Sciences (SICS)

Ongoing?
Yes

Data types collected

neuroImagingData
mentalHealthData
dataLinkage
Quantitative data collection
  • Computer, paper or task testing (e.g. cognitive testing, theory of mind doll task, attention computer tasks)
  • Interview – face-to-face
  • Physical environment assessment (e.g. pollution, mould)
  • Physical or biological assessment (e.g. blood, saliva, gait, grip strength, anthropometry)
  • Self-report questionnaire – online
  • Self-report questionnaire – paper or computer assisted
Qualitative data collection
  • None
Neuroimaging data collection
  • Electroencephalography (EEG)
  • Magnetic Resonance Imaging (MRI)
  • Magnetic Resonance Spectroscopy (MRS)
Linked or secondary data
  • Healthcare data
Features

Engagement

  • Community engagement
  • Keywords

    Anthropometry
    Biological samples/biospecimens
    Epigenetics
    Genetics
    Human development
    Mental health
    Microbiome
    Neurodevelopment
    Neuroimaging
    Parenting and family
    Physical health
    Pregnancy
    Pregnancy outcomes
    Prenatal exposures

    Consortia and dataset groups

    GUSTO Data Vault
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