Cardiovascular Disease Prevention, Cardiovascular Disease Risk Factor, Cardiovascular Diseases (CVD), Coronary Artery Disease (CAD)
Conditions
Keywords
wearables, wearable devices, cardiovascular health, cardiovascular disease, wearable technology, fitbit, fitabase, remote monitoring, cardiovascular disease prevention, cardiovascular risk reduction, digital biomarker, coronary artery disease
Brief summary
This prospective, observational cohort study will evaluate the associations between wearable-derived biometrics and cardiovascular health, quantified by the American Heart Association's Life's Essential 8 framework, as well as related cardiovascular risk factors. The study aims to determine whether wearable biometrics can support the assessment of cardiovascular health and cardiovascular disease risk, both when used in isolation and in combination with point-of-care assessments.
Detailed description
Participants will be provided with a Fitbit Charge 6 to wear continuously for six-months. These wearable data will be collected via Fitabase (Small Steps Labs LLC) for the duration of the study. At baseline, mid-point (three months), and end-point (six months), participants will undergo a clinical cardiovascular health assessment and Life's Essential 8 score will be calculated. Life's Essential 8, established by the American Heart Association, is a composite metric comprising four Health Behaviours and four Health Factors, and provides individuals with a score ranging from 0 (poor health) to 100 (optimal health). Life's Essential 8 health tiers are defined as 'Low' (\<50), 'Moderate' (50-79), and 'High' (80-100). Alongside Life's Essential 8, during each clinical assessment, four patient-reported outcome measures will be collected: EQ-5D-5L, International Physical Activity Questionnaire, Patient Health Questionnaire 9, and Generalized Anxiety Disorder 7. Participants will also complete patient-reported outcome measures online once per week for the duration of the study. These include the Modified Wisconsin Upper Respiratory Symptom Scale (WURSS), Alcohol Intake Questionnaire, Single-Item Sleep Quality Scale (SQS), Patient Health Questionnaire 4 (PHQ-4), and the two-item Modified Hooper Questionnaire for stress and fatigue. Once per month they will complete the Pittsburgh Sleep Quality Index (PSQI).
Interventions
None listed
Sponsors
University College Dublin
Beacon Hospital, Ireland
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes
Inclusion criteria
* Adults aged 18 years, or older * Internet access * Possession of a smartphone compatible with the Fitbit mobile app
Exclusion criteria
* Pregnancy * Unstable medical condition * Inability to provide informed consent * Mental or cognitive impairment precluding adherence to study protocol * Smartwatch cannot be worn, (e.g., allergic reactions), or cannot be worn in accordance with manufacturer guidelines (e.g., amputation, dark tattoos at wrist)
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Cross-Sectional Association of Wearable Biometrics with Cardiovascular Health | Baseline, Month 3, and Month 6 | The strength and direction of the associations between wearable-derived biometric data (e.g., heart rate, sleep, step count) and cardiovascular health, quantified using Life's Essential 8 score and each of its individual components. Life's Essential 8 is measured on a scale from 0 to 100, with higher scores representing better cardiovascular health. Clinical cardiovascular assessments will be paired with wearable biometric data from a window of ±2 weeks surrounding the clinical visit date. |
| Longitudinal Association of Changes in Wearable Biometrics with Changes in Cardiovascular Health | Between assessments of cardiovascular health from baseline to Month 3, Month 3 to Month 6, and baseline to Month 6. | The strength and direction of the association between changes in wearable-derived biometrics and corresponding changes in cardiovascular health, quantified using Life's Essential 8 score and each of its components, assessed over time both within and between individuals. Life's Essential 8 is measured on a scale from 0 to 100, with higher scores representing better cardiovascular health. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Classification Performance for Life's Essential 8 Tier | Baseline, Month 3, Month 6. | Model classification performance for discriminating between Life's Essential 8 cardiovascular health tiers using wearable-derived biometrics, with and without partial imputation of Life's Essential 8 components which are measurable by point-of-care testing (diet, nicotine use, HbA1c, lipid profile, BMI, blood pressure). Life's Essential 8 tiers are defined as 'Low' (\>50), 'Moderate' (50-79), and 'High' (80-100). |
| Prediction Accuracy of Change in Life's Essential 8 Score | From baseline to Month 3, Month 3 to Month 6, and baseline to Month 6. | Statistical model performance in estimating the direction and the magnitude of change in Life's Essential 8 score between assessment timepoints, compared with observed scores. A 10-point change in Life's Essential 8 score is clinically significant. |
| Cross-Sectional Correlation of Wearable Biometrics with Patient-Reported Psychosocial and Behavioural Risk Factors of Cardiovascular Disease | Baseline, Month 3, Month 6. | The strength and direction of inter-individual correlation between wearable-derived biometric data and patient-reported outcome measures of alcohol intake, sleep, stress and fatigue, illness, anxiety and depression, physical activity, and quality of life. |
| Longitudinal Correlation of Weekly and Monthly Changes in Wearable Biometrics with Patient-Reported Psychosocial and Behavioural Risk Factors of Cardiovascular Disease | Baseline through Month 6 | The strength and direction of intra-individual correlation between wearable-derived biometric data and patient-reported outcome measures of alcohol intake, sleep, stress and fatigue, illness, anxiety and depression, physical activity, and quality of life. |
Countries
Ireland
Contacts
CONTACTRory Lambe
PRINCIPAL_INVESTIGATORRory Lambe
University College Dublin
Outcome results
None listed