Maelstrom Research Staging | PE_NET_Normotensive_Mothers_5years

PE_NET_Normotensive_Mothers_5years_postpartum

Networks -

Variables -

Associated study PE-NET Contingency Table

Population

PE-NET - Normotensive Mothers

The population is composed of normotensive women who were at more than 20 weeks of gestation at enrolment, and who live within a 50km radius from the Kingston or Ottawa General Hospitals.

Selection Criteria

Sex

Women

Pregnant Women

Second trimester
Third trimester

Newborns

Twins

Countries

Canada

Territory

Ethnic Origin

Health Status

Other Criteria

Women with a history of hypertension, diabetes (including development of gestational diabetes in any pregnancy), renal disease, or cardiovascular disease and if they lived beyond a 50 km radius from either the Kingston or Ottawa General Hospitals were excluded.

Supplementary Information about selection criteria

Recruitment

Sources of recruitment

Specific population

Specific Population

Clinic patients

Supplementary Information

After each pre-eclampsia subject was recruited, the next normotensive women who matched by parity, maternal age, and race identified in the antenatal clinics or on labor and delivery were approached to participate.

Number of Participants

Number of Participants: 140
Number of Participants with Biological Samples: 140
Supplementary Information about selection criteria: Baseline: 140 participants
1 year postpartum: 121 participants
3 year postpartum: 62 participants
5 year postpartum: 16 participants

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Data Collection Event

PE-NET - Normotensive Mothers - 5 years postpartum

Information about race,education level, household income, use of antihypertensive medication and smoking was collected.

BMI, systolic and diastolic blood pressure were measured.

A sample of blood was collected.

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Collected Dataset / PE_NET_Normotensive_Mothers_5years_postpartum

PE_NET_Normotensive_Mothers_5years_postpartum

Population

PE-NET - Normotensive Mothers

Data Collection Event

PE-NET - Normotensive Mothers - 5 years postpartum

Files

Variables Classifications