KK Women's and Children's Hospital
Singapore, 229899
Location status: Recruiting
Location contact
Kok Hian Tan, MD
CONTACT
Phaik Ling Quah, PhD
CONTACT
NCT Number: NCT05709327
This study aims to test the following hypotheses in a single-arm observational study in 70-100 healthy pregnant multi-ethnic women who will be followed-up from the first trimester of pregnancy to the third trimester of pregnancy.
Aim 1: To assess the applicability, acceptability and compliance with the use of a wearable smart ring together with smart digital devices (e.g., smart phone) during pregnancy.
Hypothesis 1: The investigators hypothesize that participants will respond favorably to the use of the smart ring to monitor their physical activity and sleep during pregnancy.
Aim 2: To assess the association between maternal characteristics (age, pre-pregnancy BMI, pregnancy weight gain, stress, anxiety and depression symptoms) with physical activity markers (energy expenditure, and step count) and sleep markers (duration, quality, sleep onset latency, wake after sleep onset, time in bed and heart rate variability) collected from the smart ring in the second trimester of pregnancy.
Hypothesis 2: The investigators hypothesize that specific maternal characteristics will be associated with physical activity markers (energy expenditure, and step count), as well as sleep markers (duration, quality, sleep onset latency, wake after sleep onset, time in bed and heart rate variability).
Interested in participating?
Request Info21 year–45 year
Female
Interventional
Not applicable
Singapore, 229899
Location status: Recruiting
Kok Hian Tan, MD
CONTACT
Phaik Ling Quah, PhD
CONTACT
Wearable sensor and other smart technologies may play an important part in the early detection of adverse pregnancy-related health events along with motivating improvement in patient and provider interactions for effective pregnancy health management. The use of wearable sensors, more specifically, wearable smart rings can potentially be used to offer remote, unobtrusive personalized care, encourage preventive care and provide the necessary context for self-help based just-intime adaptive interventions (feedback loops utilizing digital phenotyping data to trigger in-app interventions). Studies on the use of wearable smart rings and health outcomes are scarce, and currently there is no available data of the use of wearable smart rings together with smart digital devices (i.e., smart phone) for tracking pregnancy health in women. This study aims to be the first to generate preliminary pilot data to support it's use in this specific group of women.
An observational period for up to 37 weeks, single-center, one-armed intervention study involving 70-100 healthy pregnant women from a multi-ethnic population (Chinese, Malay, Indian, others) aged between 21 and 45 years.
All participants included into the study will be provided an Oura Ring to wear for the rest of the pregnancy period.
Data will be collected through questionnaires and each time a participant opens up their mobile application, the uploaded data will be automatically transferred via Bluetooth connection to the study database in the smart ring cloud service. The questionnaires include socio-economic factors, maternal anxiety and depression, maternal sleep, and maternal physical activity. The participants data will be collected from the moment join the study up till delivery.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Single-arm observational study where all participants in the study will be given a smart ring (Oura Ring) to wear throughout the duration of the study.
Time frame: At the end of pregnancy
The feasibility and applicability of a commercial smart ring (Oura Ring) use assessed by a feedback survey.
Time frame: up to 37 weeks from recruitment
The smart ring (Oura Ring) will issued to capture durations of deep sleep, rapid eye movement (REM) sleep, light sleep and nightly heart rate. Sleep Score ranges from 0-100, where a higher score reflects better sleep outcome.
Time frame: First trimester of pregnancy between 0-12 weeks gestational age
Self-reported sleep quality will be assessed using the Pittsburgh Sleep Quality Index. Total score ranging from 0 to 21 with the higher total score (referred to as global score) indicating worse sleep quality.
Time frame: Second trimester of pregnancy between 13-27 weeks gestational age
Self-reported sleep quality will be assessed using the Pittsburgh Sleep Quality Index. Total score ranging from 0 to 21 with the higher total score (referred to as global score) indicating worse sleep quality.
Time frame: Third trimester of pregnancy between 28-40 weeks gestational age
Self-reported sleep quality will be assessed using the Pittsburgh Sleep Quality Index Questionnaire (PSQI). Total score ranging from 0 to 21 with the higher total score (referred to as global score) indicating worse sleep quality.
Time frame: up to 37 weeks from recruitment
The smart ring (Oura Ring) will be issued to capture durations of activity, inactivity and rest. Activity score ranges from 0-100, where a higher score reflects better balance between activity and rest.
Time frame: First trimester of pregnancy between 0-12 weeks gestational age
Self-reported physical activity will be assessed using the International Physical Activity Questionnaire (IPAQ). Data collected with International Physical Activity Questionnaire (IPAQ) can be reported as a continuous measure and reported as median metabolic equivalent of task (MET) minutes. A higher score will indicated higher physical activity involvement.
Time frame: Second trimester of pregnancy between 13-27 weeks gestational age
Self-reported physical activity will be assessed using the International Physical Activity Questionnaire (IPAQ). Data collected with International Physical Activity Questionnaire (IPAQ) can be reported as a continuous measure and reported as median metabolic equivalent of task (MET) minutes. A higher score will indicated higher physical activity involvement.
Time frame: Third trimester of pregnancy between 28-40 weeks gestational age
Self-reported physical activity will be assessed using the International Physical Activity Questionnaire (IPAQ). Data collected with International Physical Activity Questionnaire (IPAQ) can be reported as a continuous measure and reported as median metabolic equivalent of task (MET) minutes. A higher score will indicated higher physical activity involvement.
Time frame: First trimester of pregnancy between 0-12 weeks gestational age
The Depression Anxiety Stress Scales (DASS) will be used to capture self-reported anxiety and depression symptoms across pregnancy. The minimum score is 0 and the maximum score is 63. A higher score on the DASS indicates greater severity or frequency of these negative emotional symptoms.
Time frame: Second trimester of pregnancy between 13-27 weeks gestational age
The Depression Anxiety Stress Scales (DASS) will be used to capture self-reported anxiety and depression symptoms across pregnancy. The minimum score is 0 and the maximum score is 63. A higher score on the DASS indicates greater severity or frequency of these negative emotional symptoms.
Time frame: Third trimester of pregnancy between 28-40 weeks gestational age
The Depression Anxiety Stress Scales (DASS) will be used to capture self-reported anxiety and depression symptoms across pregnancy. The minimum score is 0 and the maximum score is 63. A higher score on the DASS indicates greater severity or frequency of these negative emotional symptoms.
Contact information is provided by the study sponsor or research team.
Kok Hian Tan, MD
CONTACT
Phaik Ling, Elaine Quah, PhD
CONTACT
KK Women's and Children's Hospital
Other Gov
Acronym: I-SMART
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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