Preterm BirthNCT03304782
Fitbit Activity Tracker to Predict Risk of Preterm Birth
An observational study of Preterm Birth and Preterm Delivery, run by Columbia University at 1 site in United States.
Trial summary
Almost half of all deliveries in the United States are of nulliparous patients. They have been identified as an at-risk population for preterm birth. Historically, the most significant risk factor for preterm birth is a prior history of preterm birth, which cannot be applied to a nulliparous population. Read more about this study
- Who is it for?
- Ages 18 years and older, women onlyHealthy volunteers can take part
- Conditions the study is for
- Preterm Birth, Preterm Delivery
- What is being tested?
- Fitbit activity tracker
- How many people
- 150 participants
- Where
- 1 siteUnited States
- Study dates
- 24 Oct 2017to 1 Jul 2019
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- Women only
- Healthy volunteers accepted
- Adult, Older adult
Study population: Patients who are having their first baby, and have a low risk pregnancy
Who may be able to join
- Documented single viable intrauterine pregnancy at the time of enrollment
- Nulliparous women
- At least 18 years of age
- Access to a smartphone or computer
Who cannot join
- Known or suspected major congenital anomalies or aneuploidy
- Fetal demise
- Multiple gestation
- Known maternal medical complications (increasing patient risk for indicated (planned) preterm delivery:
- Pre-gestational diabetes White's Class D or worse
- Cancer (undergoing treatment)
Show all 18Show fewer
- Current hyperthyroidism if not adequately controlled
- Renal disease with altered renal function (serum creatinine > 1.5)
- Systemic lupus, scleroderma, polymyalgia rheumatica
- Active liver disease (acute hepatitis, chronic active hepatitis, persistently abnormal liver enzymes)
- Platelet or red blood cell disorder
- Chronic pulmonary disease (aside from asthma)
- Structural, functional or ischemic heart disease. Neither mitral valve prolapse nor paroxysmal supraventricular tachycardia are considered exclusions.
- Known HIV positive with viral load greater than 1,000 copies/ml or cluster of differentiation 4 (CD4) count less than 350/mm3
- Current or planned cerclage
- Planned delivery prior to 37 weeks
- Planned delivery at a non-participating hospital
- Patients who do not have regular access to a smart phone or computer
Trial locations and contacts
1 site in 1 country.
United States1 site
Columbia University Medical Center
New York, New York, 10032
About this study
Official title: Quantitative Activity Levels and Gestational Age at Delivery: A Prospective Cohort Study Among Nulliparous Women
Almost half of all deliveries in the United States are of nulliparous patients. They have been identified as an at-risk population for preterm birth. Historically, the most significant risk factor for preterm birth is a prior history of preterm birth, which cannot be applied to a nulliparous population. Forecasting adverse outcomes in first time moms is difficult to predict and prevent. Historically, physicians have prescribed a restriction in activity level for those at risk for preterm delivery. The utility of this intervention has yet to be prospectively and quantitatively studied. The Fitbit activity tracker is a wearable device that has been extensively used in medical research, in an attempt to quantitatively identify how patient activity levels can improve medical outcomes. The study uses the Fitbit device in nulliparous patients, remotely track their activity levels throughout pregnancy, and assess pregnancy outcomes. Because of the significant and long-standing health disparity in the incidence of preterm delivery, the investigators will use the "Everyday Discrimination Scale", a validated battery of racism and health to see how a patient's stress related to perceived discrimination may modify the risk of preterm delivery.
Read the detailed description
Preterm birth (PTB) remains one of the leading causes of neonatal morbidity and mortality, with a variety of modifiable and non-modifiable risk factors. In an attempt to prevent PTB, activity restriction is one of the most commonly prescribed interventions in obstetrics, with the idea that decreasing activity will mitigate the risk of a preterm delivery (PTD). However, there has been a lack of evidence in the literature to support this theory. In fact, multiple studies have demonstrated that decreased activity levels have decreased time to delivery in both women with a short cervix, as well as nulliparous patients at increased risk for PTB.
Approximately 40% of deliveries in the United States are nulliparous. For this overwhelming large portion of women, a knowledge gap exists in assessing their risk for PTB. The most powerful risk factor for PTB, a previous PTB, is not applicable to this cohort of women. The precise etiology of PTB in nulliparous women remains unknown but factors found to be associated have included health behaviors , as well as being part of disadvantaged populations. Studies have demonstrated a significant racial disparity in PTB, contributing to the disproportionally worse fetal outcomes in minority populations. Institutional racism, reported stress levels and discrimination have all been identified as risk factors for PTB.
Interventions to prevent PTB have thus far found to be ineffective, and therein likes an opportunity to identify risk factors in this largely unstudied population and create measures, focusing on behavior modification and acknowledging related risks of health disparities to impact maternal and neonatal outcomes.
Currently there are no published prospective studies using quantitative measures to evaluate physical activity in relation to gestational age at delivery. Based on a cohort design, our objective is to use a Fitbit activity tracking device, and assess nulliparous patients. Our hypothesis is that higher physical activity measured in steps per day will be associated with a later gestational age at delivery.
Each participant will be given a Fitbit, complementary of participating in the study. Women will be instructed to wear the Fitbit to measure physical activity throughout the duration of the entire pregnancy, 24 hours a day. The Fitbit has been shown to be valid measure of steps under laboratory conditions. Also, the Fitbit provides estimates of "sedentary", "light", "fairly active" and "very active" minutes as daily accumulated totals. All data from the Fitbit device will be acquired using the Fitabase software system. Fitabase is a research software platform that collects data from devices remotely in near real time as devices sync and update to the Fitabase dashboard. It creates spreadsheet exports of reported data, which can be retrieved remotely by investigators. Fitabase stores the data collected in high security data centers, and only permitted research personnel can access the data.
Upon enrollment in the study, researchers will administer the Fitbit device to each study participant. Researchers will register participants with the Fitabase software system, giving them a unique anonymous patient identifier, which will link each patient and their Fitbit to the Fitabase software system. User accounts will be created by the enrolling researcher for each participant account authorizing access to the Fitbit data for study personnel only. The data collected from the Fitbit is continuously uploaded remotely from the wearable device to the Fitabase software; new information is uploaded every 20 minutes. The device only holds a total of 7 days of patient activity information, so the participant will be required to sync their device to the software system every 7 days. This is done by an app, which is downloaded on the participants' phone at the enrollment of the study. Of note, Fitbit data (ie: steps, activity monitoring) will be blinded to the participants; the Fitbit device has no visible monitoring screen. Research assistants will monitor compliance of participants to syncing their Fitbit and will be sent an email reminder if they do not sync the Fitbit within the last five days. Days with '0' minutes of registered activity will be considered non-valid and set to missing.
- Conditions
- Preterm Birth, Preterm Delivery
- Being tested
- Fitbit activity tracker
- Keywords
- Preterm Birth, Fitbit, Preterm Delivery
- Medical subject headings
- Premature Birth
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Fitbit activity trackerOther
Wearable device that records the number of steps a person takes throughout the day
| Study group | Role | What they receive |
|---|---|---|
| Preterm birth | Data collected using Fitbit activity tracker from women with delivery prior to 37 weeks gestation Receives: Other: Fitbit activity tracker | |
| Full-term birth | Data collected using Fitbit activity tracker from women with delivery after 37 weeks gestation Receives: Other: Fitbit activity tracker |
What is being measured
The primary outcome is the main question the study is designed to answer.
Difference in number of steps
The difference in steps per day between women that deliver preterm versus those that deliver at term will be analyzed.
Measured: Duration of pregnancy (< 9months)
Secondary outcomes (10)
Average number of steps for those women who deliver prior to 37 weeks gestation
Average number of steps for those women who deliver prior to 37 weeks gestation
Measured: Duration of pregnancy (< 9months)
Average number of steps for those women who delivery prior to 34 weeks gestation
Average number of steps for those women who delivery prior to 34 weeks gestation
Measured: Duration of pregnancy (< 9months)
Change in steps per week
Change in steps per week over each trimester
Measured: Duration of pregnancy (< 9months)
Number of triage visits
Number of triage visits for threatened preterm labor
Measured: Duration of pregnancy (< 9months)
Number of inpatient hospitalizations
Number of inpatient hospitalizations for threatened preterm labor
Measured: Duration of pregnancy (< 9months)
Incidence of adverse maternal outcomes
Incidence of adverse maternal outcomes including pre-eclampsia, diabetes
Measured: Duration of pregnancy (<9months)
Incidence of adverse fetal outcomes
Incidence of adverse fetal outcomes including Intrauterine growth restriction (IUGR), oligohydramnios, placental abruption
Measured: Duration of pregnancy (<9months)
Incidence of cesarean section
Incidence of cesarean section
Measured: Duration of pregnancy (< 9months)
Pregnancy physical activity questionnaire (PPAQ)
The PPAQ is a validated, self-administered questionnaire that takes on average 10-15 minutes to complete, and has been used to assess the current physical activity levels of pregnant women. This questionnaire is composed of 32 questions, grouped into different types of activities. an estimated average metabolic equivalent (MET-hr/wk) value will be calculated. Clinical practice guidelines have shown that achieving 8.5 MET-hr/wk is associated with healthy gestational weight gain (GWG).
Measured: Duration of pregnancy (< 9months)
Perceived Stress Scale (PSS)
The PSS is a classic stress assessment instrument. For each question, the answers are ranked as follows: 0 - never, 1 - almost never, 2 - sometimes, 3 - fairly often, 4 - very often. A calculated total score can range from 0 to 40 with higher scores indicating higher perceived stress. Scores ranging from 0-13 - low stress; 14-26 - moderate stress; 27-40 - high perceived stress.
Measured: Duration of pregnancy (< 9months)
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted9 Oct 2017
- Study start24 Oct 2017
- Primary completion1 Jul 2019
- Study completion1 Jul 2019
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (1)Papers the sponsor has linked to this study.
- Other trials for Preterm BirthStudies of the same condition, open and under way.
- More trials run by Columbia UniversityThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 150 participants (actual)
Sponsor and investigators
- Lead sponsor
- Columbia University
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Cynthia Gyamfi, Columbia University
- Investigators
- Cynthia Gyamfi, M.D., Principal investigator, Columbia University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT03304782
- Sponsor's protocol ID
- AAAR3883
- Status last verified
- Nov 2019
- First submitted
- 29 Sep 2017
- Last updated
- 29 Nov 2019
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Publications
Booker WA, Ekpe EE, Handal-Orefice RC, Zhang Y, Cande A, Gyamfi-Bannerman C, Nieto V. Quantitative activity levels and gestational age at delivery: a prospective cohort study among nulliparous women. Am J Obstet Gynecol MFM. 2022 Jan;4(1):100503. doi: 10.1016/j.ajogmf.2021.100503. Epub 2021 Oct 17.
PubMed 34666197
Study at a glance
From the registry record, last updated by the sponsor on 29 Nov 2019. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Quantitative Activity Levels and Gestational Age at Delivery: A Prospective Cohort Study Among Nulliparous Women
- ClinicalTrials.gov ID
- NCT03304782
- Acronym / sponsor ID
- AAAR3883
- Conditions
- Preterm Birth, Preterm Delivery
- Keywords
- Preterm Birth, Fitbit, Preterm Delivery
- Study type
- Observational
- Recruitment status
- Completed
- Enrolment
- 150 participants (actual)
- Lead sponsor
- Columbia UniversityUniversity, hospital or other
- Study start
- 24 Oct 2017 (actual)
- Primary completion
- 1 Jul 2019 (actual)
- Study completion
- 1 Jul 2019 (actual)
- First posted
- 9 Oct 2017 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
Almost half of all deliveries in the United States are of nulliparous patients. They have been identified as an at-risk population for preterm birth. Historically, the most significant risk factor for preterm birth is a prior history of preterm birth, which cannot be applied to a nulliparous population. Forecasting adverse outcomes in first time moms is difficult to predict and prevent. Historically, physicians have prescribed a restriction in activity level for those at risk for preterm delivery. The utility of this intervention has yet to be prospectively and quantitatively studied. The Fitbit activity tracker is a wearable device that has been extensively used in medical research, in an attempt to quantitatively identify how patient activity levels can improve medical outcomes. The study uses the Fitbit device in nulliparous patients, remotely track their activity levels throughout pregnancy, and assess pregnancy outcomes. Because of the significant and long-standing health disparity in the incidence of preterm delivery, the investigators will use the "Everyday Discrimination Scale", a validated battery of racism and health to see how a patient's stress related to perceived discrimination may modify the risk of preterm delivery.
Detailed description
Preterm birth (PTB) remains one of the leading causes of neonatal morbidity and mortality, with a variety of modifiable and non-modifiable risk factors. In an attempt to prevent PTB, activity restriction is one of the most commonly prescribed interventions in obstetrics, with the idea that decreasing activity will mitigate the risk of a preterm delivery (PTD). However, there has been a lack of evidence in the literature to support this theory. In fact, multiple studies have demonstrated that decreased activity levels have decreased time to delivery in both women with a short cervix, as well as nulliparous patients at increased risk for PTB.
Approximately 40% of deliveries in the United States are nulliparous. For this overwhelming large portion of women, a knowledge gap exists in assessing their risk for PTB. The most powerful risk factor for PTB, a previous PTB, is not applicable to this cohort of women. The precise etiology of PTB in nulliparous women remains unknown but factors found to be associated have included health behaviors , as well as being part of disadvantaged populations. Studies have demonstrated a significant racial disparity in PTB, contributing to the disproportionally worse fetal outcomes in minority populations. Institutional racism, reported stress levels and discrimination have all been identified as risk factors for PTB.
Interventions to prevent PTB have thus far found to be ineffective, and therein likes an opportunity to identify risk factors in this largely unstudied population and create measures, focusing on behavior modification and acknowledging related risks of health disparities to impact maternal and neonatal outcomes.
Currently there are no published prospective studies using quantitative measures to evaluate physical activity in relation to gestational age at delivery. Based on a cohort design, our objective is to use a Fitbit activity tracking device, and assess nulliparous patients. Our hypothesis is that higher physical activity measured in steps per day will be associated with a later gestational age at delivery.
Each participant will be given a Fitbit, complementary of participating in the study. Women will be instructed to wear the Fitbit to measure physical activity throughout the duration of the entire pregnancy, 24 hours a day. The Fitbit has been shown to be valid measure of steps under laboratory conditions. Also, the Fitbit provides estimates of "sedentary", "light", "fairly active" and "very active" minutes as daily accumulated totals. All data from the Fitbit device will be acquired using the Fitabase software system. Fitabase is a research software platform that collects data from devices remotely in near real time as devices sync and update to the Fitabase dashboard. It creates spreadsheet exports of reported data, which can be retrieved remotely by investigators. Fitabase stores the data collected in high security data centers, and only permitted research personnel can access the data.
Upon enrollment in the study, researchers will administer the Fitbit device to each study participant. Researchers will register participants with the Fitabase software system, giving them a unique anonymous patient identifier, which will link each patient and their Fitbit to the Fitabase software system. User accounts will be created by the enrolling researcher for each participant account authorizing access to the Fitbit data for study personnel only. The data collected from the Fitbit is continuously uploaded remotely from the wearable device to the Fitabase software; new information is uploaded every 20 minutes. The device only holds a total of 7 days of patient activity information, so the participant will be required to sync their device to the software system every 7 days. This is done by an app, which is downloaded on the participants' phone at the enrollment of the study. Of note, Fitbit data (ie: steps, activity monitoring) will be blinded to the participants; the Fitbit device has no visible monitoring screen. Research assistants will monitor compliance of participants to syncing their Fitbit and will be sent an email reminder if they do not sync the Fitbit within the last five days. Days with '0' minutes of registered activity will be considered non-valid and set to missing.
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| Preterm birth | – | Other: Fitbit activity trackerData collected using Fitbit activity tracker from women with delivery prior to 37 weeks gestation |
| Full-term birth | – | Other: Fitbit activity trackerData collected using Fitbit activity tracker from women with delivery after 37 weeks gestation |
Who may qualify
- Ages
- 18 years and older
- Sex
- Female only
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
- Study population
- Patients who are having their first baby, and have a low risk pregnancy
Key inclusion criteria (4 listed)
- Documented single viable intrauterine pregnancy at the time of enrollment
- Nulliparous women
- At least 18 years of age
- Access to a smartphone or computer
Key exclusion criteria (18 listed)
- Known or suspected major congenital anomalies or aneuploidy
- Fetal demise
- Multiple gestation
- Known maternal medical complications (increasing patient risk for indicated (planned) preterm delivery:
- Patients who do not have regular access to a smart phone or computer
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Fitbit activity trackerWearable device that records the number of steps a person takes throughout the day | Other | Full-term birth, Preterm birth |
Primary outcome
Difference in number of steps
Time frame: Duration of pregnancy (< 9months)
The difference in steps per day between women that deliver preterm versus those that deliver at term will be analyzed.
10 secondary outcomes
Average number of steps for those women who deliver prior to 37 weeks gestation
Time frame: Duration of pregnancy (< 9months)
Average number of steps for those women who delivery prior to 34 weeks gestation
Time frame: Duration of pregnancy (< 9months)
Change in steps per week
Time frame: Duration of pregnancy (< 9months)
Number of triage visits
Time frame: Duration of pregnancy (< 9months)
Number of inpatient hospitalizations
Time frame: Duration of pregnancy (< 9months)
Incidence of adverse maternal outcomes
Time frame: Duration of pregnancy (<9months)
Incidence of adverse fetal outcomes
Time frame: Duration of pregnancy (<9months)
Incidence of cesarean section
Time frame: Duration of pregnancy (< 9months)
Pregnancy physical activity questionnaire (PPAQ)
Time frame: Duration of pregnancy (< 9months)
Perceived Stress Scale (PSS)
Time frame: Duration of pregnancy (< 9months)
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 29 Nov 2019.
- Derived from this study: PubMed 34666197Booker WA, Ekpe EE, Handal-Orefice RC, Zhang Y, Cande A, Gyamfi-Bannerman C, Nieto V. Quantitative activity levels and gestational age at delivery: a prospective cohort study among nulliparous women. Am J Obstet Gynecol MFM. 2022 Jan;4(1):100503. doi: 10.1016/j.ajogmf.2021.100503. Epub 2021 Oct 17.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Cynthia Gyamfi, M.D. principal investigator
Columbia University
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Preterm Birth and Preterm Delivery, run by Columbia University at 1 site in United States.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 4 inclusion and 18 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 29 Nov 2019. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in United States. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Difference in number of steps (time frame: Duration of pregnancy (< 9months)). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT03304782, which also lists 1 linked publication.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 29 Nov 2019.