There are set guidelines for weight gain developed by the Institute of Medicine in pregnancy but about three quarters of women gain an inappropriate weight during pregnancy. Many studies have assessed ways to decrease weight gain in these women who gain excess weight, usually through a combination of diet and exercise. Still, often these interventions are difficult to implement, expensive, or have low acceptability. Wearable Fitbit devices have been on the market for years and slowly becoming more inexpensive and easier to use. Previous studies on non-pregnant women have shown that using the device can help reduce weight gain. In addition, small studies in pregnant women have shown they are accurate for measuring steps and have high acceptability and retention rates. The ability of the Fitbit to assess metrics of sleep including sleep duration and quality will also be assessed. This project aims to provide overweight and obese pregnant women at the beginning of their pregnancy with the Fitbit device and with regular follow-up to assess if there is effectiveness in increasing the rate of women who meet weight gain guidelines compared to women without the device along with measuring aspects of sleep.
This is a prospective randomized control trial study. This study aims to assess the relationship between physical activity and sleep metrics in pregnant women as measured using the Fitbit device and the ability to meet Institute of Medicine weight gain guidelines during pregnancy. The hypothesis of the study is that self-realization and monitoring of activity using the Fitbit will encourage the wearer to be increasingly physically active and assist in meeting weight gain guidelines. This study is performed in conjunction with the University of Arizona sensor lab utilizing the MyDataHelps platform which will assist with collection of data from each participant's Fitbit device and subsequent analysis. Mydatahelps is an easily customizable data collection platform that helps researchers collect participant data in a secure HIPAA compliant manner. They are an external company but have no input in the construction of the project This study will have two arms: one with Fitbit wearers and a control arm for routine prenatal care. Compared to control participants who will not have a Fitbit device, we hypothesize that utilization of the Fitbit device will be effective in helping overweight and obese pregnant women meet Institute of Medicine weight gain guidelines. The primary endpoint is gestational weight gain throughout pregnancy. Weight will be measured pre-pregnancy, at recruitment, 28 weeks, delivery, and 6 weeks postpartum. Secondary endpoints will also be measured and include: 1. Acceptability of device and loss to follow-up 2. Obstetrical outcomes include rate of developing gestational diabetes, gestational hypertension and preeclampsia, preterm delivery, cesarean delivery rate, intrauterine growth restriction, and macrosomia 3. Neonatal outcomes, including birth weight and admission to NICU 4. Fitbit outcome data, including steps taken, calories burned, sleep duration and Fitbit derived sleep quality 5. Questionnaire data: Global Physical Activity Questionnaire (GPAQ), Cambridge Worry Scale and Pittsburgh Sleep Quality Index at baseline, 28 weeks and delivery
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
PREVENTION
Masking
SINGLE
Enrollment
70
Daily use of a fitbit wearable activity tracker device.
Banner University Medical Center
Tucson, Arizona, United States
Gestational weight gain during pregnancy
Weight will be measured pre-pregnancy, at recruitment (ideally initial prenatal visit), 28 weeks gestation, at delivery and 6 weeks postpartum
Time frame: From pre-pregnancy or initial prenatal visit until 6 weeks postpartum
Number of patients reporting adverse events related to device
Tolerability of wearing the device consistently, any adverse effects
Time frame: Through duration of participation, average of 8-9 months
Number of patients lost to follow-up
Individuals that discontinue follow-up or study inclusion
Time frame: 18 months
Incidence of intrauterine growth restriction
Number of pregnancies affected by intrauterine growth restriction
Time frame: At delivery
Incidence of fetal macrosomia
Number of pregnancies affected by fetal macrosomia
Time frame: At delivery
Incidence of gestational hypertension
Number of patients who develop gestational hypertension in pregnancy
Time frame: At delivery
Incidence of gestational diabetes
Number of patients who develop gestational diabetes in pregnancy
Time frame: At delivery
Incidence of preeclampsia
Number of patients who develop preeclampsia in pregnancy
Time frame: At delivery
Incidence of preterm delivery
Number of patients who experience preterm delivery
Time frame: At delivery
Incidence of cesarean delivery
Number of patients who have cesarean delivery
Time frame: At delivery
Neonatal birth weight
Neonatal birth weight in grams
Time frame: At delivery
Incidence of NICU admission
Number of fetuses requiring admission to neonatal ICU care
Time frame: At delivery
Average number of daily steps taken per individual
Average number of daily steps taken per individual as recorded by fitbit device
Time frame: At delivery
Calories burned per individual
Daily calories burned per individual, as measured by fitbit device, in kcal
Time frame: At delivery
Daily sleep duration
Daily and average sleep duration in hours per individual, as measured by fitbit device
Time frame: At delivery
Fitbit derived sleep quality
Fitbit device determined nightly sleep score
Time frame: At delivery
Global Physical Activity Questionnaire (GPAQ) score
Questionnaire data
Time frame: At initial enrollment, 28 weeks gestation and delivery
Cambridge Worry Scale score
Questionnaire data
Time frame: At initial enrollment, 28 weeks gestation and delivery
Pittsburg Sleep Quality Index score
Questionnaire data
Time frame: At initial enrollment, 28 weeks gestation and delivery
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