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Wearable Technology and Alcohol-Facilitated Intimate Partner Violence

Using Wearable Technology to Develop Biomarker-Driven Intervention for Alcohol-Facilitated Intimate Partner Violence

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05374798
Acronym
START
Enrollment
92
Registered
2022-05-16
Start date
2023-01-27
Completion date
2024-05-28
Last updated
2025-07-14

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Alcohol Abuse, Couples, IPV

Brief summary

This project seeks to develop interactive treatment options to successfully reduce AUD and IPV concurrently. The purpose of the study is to examine the usability, feasibility, and acceptability of wearable activity trackers (like a smart watch) and use of a cell phone application (app) among couples. The investigators are also testing the use of this device and app will affect alcohol use and couple conflict. This study involves a screening phase and a 28 observation period where participants are asked to wear a smart watch, complete assessments and provide feedback.

Detailed description

Alcohol use disorder (AUD) and acute alcohol intoxication are well-established precipitants of intimate partner violence (IPV). Approximately one third of U.S. adults experience IPV during their lifetimes. Recent data indicate that IPV negatively impacts AUD treatment and increases risk of relapse. Although behavioral treatments targeting AUD and IPV are effective for some women and men, efficacy is commonly limited by high dropout rates, poor working alliance, and low readiness to change. As a result, there is a critical and persistent need to develop dynamic treatment options to successfully reduce AUD and IPV concurrently. Mitigating maladaptive physiological reactivity in the form of respiratory sinus arrhythmia measure of heart rate variability (HRV) is one promising pathway to achieve this goal. HRV is an autonomic biomarker of arousal relevant to AUD pathophysiology, alcohol consumption, and treatment outcomes. HRV is also an emerging mechanism underlying alcohol-facilitated IPV. Growing evidence suggests that biofeedback interventions to modulate physiological, emotional, and behavioral stress responses are feasible, acceptable, and may reduce AUD symptoms such as craving to improve long-term AUD recovery. This data suggests that remote, self-administered biofeedback interventions hold promise as a discreet, accessible and low cost standalone or adjunct treatment option for AUD patients with high risk behaviors such as IPV. Thus, the primary objective of the proposed project is to use wearable technology to develop proof-of-concept of HRV as a biomarker of alcohol-facilitated IPV in naturalistic settings. The secondary objective is to examine the preliminary usability, feasibility, and acceptability of a remote, self-administered HRV-B intervention.

Interventions

DEVICEHeart Rate Variability-Biofeedback (HRV-B) via Smartwatch Device Intervention

Participants will wear activity trackers equipped with continuous ambulatory physiological monitoring and geolocation. Ecological momentary assessment (EMA; 4 times daily plus optional event-triggered reports) of alcohol use, couple conflict including IPV, and affect will be completed via smartphone application for 28 days. During days 21-28, participants will also be prompted to complete a 10 minute self-administered HRV-B session at least once daily. Subjective usability, feasibility, and acceptability of HRV-B will be assessed. HRV-B will guide participants in an evidence-based paced breathing technique (about 6 breaths per minutes) using visualization on thier mobile device of thier real-time respiratory and cardiac parameters. During days 21-28, participants will also be prompted to complete a 10 minute self-administered HRV-B session at least once daily. Subjective usability, feasibility, and acceptability of HRV-B will be assessed.

Sponsors

National Institutes of Health (NIH)
CollaboratorNIH
National Institute on Alcohol Abuse and Alcoholism (NIAAA)
CollaboratorNIH
Medical University of South Carolina
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
OTHER
Masking
NONE

Intervention model description

Participants will wear activity trackers (Garmin smartwatch) equipped with continuous ambulatory physiological monitoring and geolocation. Ecological momentary assessment (EMA; 4 times daily plus optional event-triggered reports) of alcohol use, couple conflict including IPV, and affect will be completed via smartphone application for 28 days. During days 21-28, participants will also be prompted to complete a 10 minute self-administered HRV-B session at least once daily. Subjective usability, feasibility, and acceptability of HRV-B will be assessed The investigative team is not testing the Garmin smartwatch, but the use of EMA and HRV biofeedback as a mechanism to modulate alcohol use and IPV among couples.

Eligibility

Sex/Gender
ALL
Age
21 Years to 70 Years
Healthy volunteers
No

Inclusion criteria

1. Any gender identity; any race or ethnicity; any sexual orientation; aged 21-70 years. 2. Married, cohabiting, or in a committed relationship for ≥ 6 months. 3. English fluency and cognitive functioning sufficient to provide informed consent and participate accurately (score ≥ 26 on the Mini-Mental Status Exam \[MMSE\]). 4. At least one partner within each dyad must meet DSM-V diagnostic criteria for current AUD (assessed by the QuickSCID) and consume ≥ 2 hazardous drinking episodes (i.e., 4 or more drinks for women, 5 or more for men in ≤ 2 hours) per month in the past three months. 5. At least one partner within each dyad must endorse ≥1 instance of IPV with their current partner in the past 6 months (assessed by the Revised Conflict Tactics Scale \[CTS-2\]). 6. Maintenance of psychotropic medications on a stable dose for at least 4 weeks before study initiation.

Exclusion criteria

1. Meeting DSM-5 criteria for a history of or current psychotic or bipolar disorders. 2. Meeting DSM-5 diagnostic criteria for moderate or severe drug use disorder (e.g., cannabis). Concurrent mild drug use disorders are acceptable due to the marked co-occurrence in AUD populations. 3. Alcohol withdrawal as indicated by CIWA-Ar scores \>8. 4. Current suicidal or homicidal ideation and intent. 5. Serious cardiovascular health conditions (e.g., pacemaker, cardiac arrhythmia, hypertension) because the safety of HRV-B has not yet been established in these populations. 6. Treatment on medications such as lithium, methadone, alpha or beta blockers or cholinergic/ anticholinergic medications likely to confound normative cardiovascular responding. 7. Current neurologic conditions or history of traumatic brain injury. 8. Severe and unilateral IPV in the past 6 months. 9. Current pregnancy.

Design outcomes

Primary

MeasureTime frameDescription
Heart Rate Variability During Alcohol-Facilitated Intimate Partner Violence (IPV)From enrollment through end of evaluation period; 28 days.Heart Rate Variability (HRV) was measured by Respiratory Sinus Arrhythmia (RSA) data derived from Garmin smart watch. RSA is a type/contributor of HRV that occurs when the heart rate changes with normal breathing (measure of changes in time in between heartbeats). RSA is an autonomic biomarker of arousal relevant to AUD pathophysiology. Alcohol-facilitated intimate partner violence (IPV) was measured by the self-reported presence of alcohol use, IPV or conflict on ecological momentary assessments (EMA; 4 times daily plus optional event-daily or event-driven) via a smartphone. HRV means were stratified by alcohol and IPV status at the prior report. Higher levels of HRV/Respiratory Sinus Arrhythmia represent better autonomic balance and physiological reactivity and low levels would represent more maladaptive physiological reactivity and autonomic imbalance.
Usability of Heart Rate Variability-Biofeedback InterventionDuring the exit interview, following 28 days of ecological momentary assessment (EMA).Usability is assessed by the score on the self-report Post-Study System Usability Questionnaire (PSSUQ), ranging from 18-126. A low score indicates high usability of the Heart Rate Variability-Biofeedback (HRV-B) intervention, and a high score indicates low usability of the HRV-B intervention. Participants explore the device/app for 28 days and add the biofeedback technique for the final 7 days. They are asked to complete the PSSUQ during their exit interview.
Feasibility of Heart Rate Variability-Biofeedback InterventionFrom days 21-28 during the Heart Rate Variability-Biofeedback (HRV-B) intervention; 7 days.Feasibility is assessed by the rates of Heart Rate Variability-Biofeedback (HRV-B) task completion over the final 7 days. Higher rates of completion would indicate high feasibility of the Heart Rate Variability-Biofeedback (HRV-B) intervention, and low rates of completion would indicate low feasibility of the HRV-B intervention.
Acceptability of Heart Rate Variability-Biofeedback InterventionDuring the exit interview, following 28 days of ecological momentary assessment (EMA).Acceptability is assessed by the score on the self-report measure Client Satisfaction Questionnaire (CSQ). Scores range from 8-32. A high score indicates high acceptability of the Heart Rate Variability-Biofeedback (HRV-B) intervention, and a low score indicates low acceptability of the HRV-B intervention. Participants explore the device/app for 28 days and add the biofeedback technique for the final 7 days. They are asked to complete the CSQ during their exit interview.

Countries

United States

Participant flow

Recruitment details

Participants were recruited through internet advertisements, clinician referrals and community providers, flyers, and from prior research studies. Following preliminary eligibility screening, couples completed private written informed consent and a baseline assessment separately for privacy. The baseline assessment included a alcohol and drug screen, battery of standardized self-report and interview measures. Recruitment and enrollment occurred from November 2022 through April 2024.

Pre-assignment details

Participants were N=46 couples (N=92 individuals) where at least one partner within each dyad must have 1) met Diagnostic and Statistical Manual of Mental Disorders (DSM-V) diagnostic criteria for current alcohol use disorder and current alcohol use, and 2) have reported at least one instance of physical intimate partner violence in the past two years.

Participants by arm

ArmCount
Full Sample
Participants were N=46 couples with current alcohol use disorder (AUD) and recent physical intimate partner violence (IPV). All participants completed 28 days of ecological momentary assessment (EMA); 4 times daily plus optional event-driven reports) of alcohol use, couple conflict including IPV, and affect via smartphone.
92
Total92

Withdrawals & dropouts

PeriodReasonFG000
Overall StudyLost to Follow-up2
Overall StudyWithdrawal by Subject2
Overall StudyWithdrawn by Principal Investigator.2

Baseline characteristics

CharacteristicFull Sample
Age, Continuous
Identified Patient
37.0 years
STANDARD_DEVIATION 10.1
Age, Continuous
Partner
36.5 years
STANDARD_DEVIATION 9.5
Age, Continuous
Total Sample
36.8 years
STANDARD_DEVIATION 9.7
Ethnicity (NIH/OMB)
Identified Patient
Hispanic or Latino
6 Participants
Ethnicity (NIH/OMB)
Identified Patient
Not Hispanic or Latino
40 Participants
Ethnicity (NIH/OMB)
Identified Patient
Unknown or Not Reported
0 Participants
Ethnicity (NIH/OMB)
Partner
Hispanic or Latino
5 Participants
Ethnicity (NIH/OMB)
Partner
Not Hispanic or Latino
41 Participants
Ethnicity (NIH/OMB)
Partner
Unknown or Not Reported
0 Participants
Ethnicity (NIH/OMB)
Total Sample
Hispanic or Latino
11 Participants
Ethnicity (NIH/OMB)
Total Sample
Not Hispanic or Latino
81 Participants
Ethnicity (NIH/OMB)
Total Sample
Unknown or Not Reported
0 Participants
Race (NIH/OMB)
Identified Patient
American Indian or Alaska Native
1 Participants
Race (NIH/OMB)
Identified Patient
Asian
2 Participants
Race (NIH/OMB)
Identified Patient
Black or African American
15 Participants
Race (NIH/OMB)
Identified Patient
More than one race
4 Participants
Race (NIH/OMB)
Identified Patient
Native Hawaiian or Other Pacific Islander
1 Participants
Race (NIH/OMB)
Identified Patient
Unknown or Not Reported
0 Participants
Race (NIH/OMB)
Identified Patient
White
23 Participants
Race (NIH/OMB)
Partner
American Indian or Alaska Native
0 Participants
Race (NIH/OMB)
Partner
Asian
2 Participants
Race (NIH/OMB)
Partner
Black or African American
16 Participants
Race (NIH/OMB)
Partner
More than one race
3 Participants
Race (NIH/OMB)
Partner
Native Hawaiian or Other Pacific Islander
0 Participants
Race (NIH/OMB)
Partner
Unknown or Not Reported
0 Participants
Race (NIH/OMB)
Partner
White
25 Participants
Race (NIH/OMB)
Total Sample
American Indian or Alaska Native
1 Participants
Race (NIH/OMB)
Total Sample
Asian
4 Participants
Race (NIH/OMB)
Total Sample
Black or African American
31 Participants
Race (NIH/OMB)
Total Sample
More than one race
7 Participants
Race (NIH/OMB)
Total Sample
Native Hawaiian or Other Pacific Islander
1 Participants
Race (NIH/OMB)
Total Sample
Unknown or Not Reported
0 Participants
Race (NIH/OMB)
Total Sample
White
48 Participants
Region of Enrollment
United States
92 participants
Sex: Female, Male
Identified Patient
Female
22 Participants
Sex: Female, Male
Identified Patient
Male
24 Participants
Sex: Female, Male
Partner
Female
30 Participants
Sex: Female, Male
Partner
Male
16 Participants
Sex: Female, Male
Total Sample
Female
52 Participants
Sex: Female, Male
Total Sample
Male
40 Participants

Adverse events

Event typeEG000
affected / at risk
deaths
Total, all-cause mortality
0 / 92
other
Total, other adverse events
0 / 92
serious
Total, serious adverse events
0 / 92

Outcome results

Primary

Acceptability of Heart Rate Variability-Biofeedback Intervention

Acceptability is assessed by the score on the self-report measure Client Satisfaction Questionnaire (CSQ). Scores range from 8-32. A high score indicates high acceptability of the Heart Rate Variability-Biofeedback (HRV-B) intervention, and a low score indicates low acceptability of the HRV-B intervention. Participants explore the device/app for 28 days and add the biofeedback technique for the final 7 days. They are asked to complete the CSQ during their exit interview.

Time frame: During the exit interview, following 28 days of ecological momentary assessment (EMA).

Population: Analysis completed on 86 participants with valid self report and Heart Rate Variability-Biofeedback data.

ArmMeasureValue (MEAN)Dispersion
Full SampleAcceptability of Heart Rate Variability-Biofeedback Intervention24.6 score on a scaleStandard Deviation 5.2
Primary

Feasibility of Heart Rate Variability-Biofeedback Intervention

Feasibility is assessed by the rates of Heart Rate Variability-Biofeedback (HRV-B) task completion over the final 7 days. Higher rates of completion would indicate high feasibility of the Heart Rate Variability-Biofeedback (HRV-B) intervention, and low rates of completion would indicate low feasibility of the HRV-B intervention.

Time frame: From days 21-28 during the Heart Rate Variability-Biofeedback (HRV-B) intervention; 7 days.

Population: Analysis completed on all 92 participants with Heart Rate Variability-Biofeedback data.

ArmMeasureGroupValue (COUNT_OF_PARTICIPANTS)
Full SampleFeasibility of Heart Rate Variability-Biofeedback InterventionCompleted intervention at least once78 Participants
Full SampleFeasibility of Heart Rate Variability-Biofeedback InterventionCompleted intervention for at least 7 days21 Participants
Full SampleFeasibility of Heart Rate Variability-Biofeedback InterventionCompleted 10 minutes of intervention for 7 days0 Participants
Primary

Heart Rate Variability During Alcohol-Facilitated Intimate Partner Violence (IPV)

Heart Rate Variability (HRV) was measured by Respiratory Sinus Arrhythmia (RSA) data derived from Garmin smart watch. RSA is a type/contributor of HRV that occurs when the heart rate changes with normal breathing (measure of changes in time in between heartbeats). RSA is an autonomic biomarker of arousal relevant to AUD pathophysiology. Alcohol-facilitated intimate partner violence (IPV) was measured by the self-reported presence of alcohol use, IPV or conflict on ecological momentary assessments (EMA; 4 times daily plus optional event-daily or event-driven) via a smartphone. HRV means were stratified by alcohol and IPV status at the prior report. Higher levels of HRV/Respiratory Sinus Arrhythmia represent better autonomic balance and physiological reactivity and low levels would represent more maladaptive physiological reactivity and autonomic imbalance.

Time frame: From enrollment through end of evaluation period; 28 days.

Population: Analysis completed on N=83 participants who had at least one valid Heart Rate Variability measurement. N=9 participant were not included in the sample. N=2 lost to follow up. N=2 withdrew from the study. N=2 withdrawn by principal investigator. N=3 heart rate variability was not collected. The means below represent instances where reports were generated in each condition (e.g. HRV diary report when responder indicated no alcohol and no IPV)

ArmMeasureGroupValue (MEAN)Dispersion
Full SampleHeart Rate Variability During Alcohol-Facilitated Intimate Partner Violence (IPV)HRV/RSA Reports of Yes Alcohol and No Intimate Partner Violence (of 83 participants analyzed).59.32 MillisecondsStandard Deviation 20.35
Full SampleHeart Rate Variability During Alcohol-Facilitated Intimate Partner Violence (IPV)HRV/RSA Reports of Yes Alcohol and Yes Intimate Partner Violence (of 83 participants analyzed).60.15 MillisecondsStandard Deviation 17.13
Full SampleHeart Rate Variability During Alcohol-Facilitated Intimate Partner Violence (IPV)HRV/RSA Reports of No Alcohol and No Intimate Partner Violence (of 83 participants analyzed).58.60 MillisecondsStandard Deviation 21.27
Full SampleHeart Rate Variability During Alcohol-Facilitated Intimate Partner Violence (IPV)HRV/RSA Reports of No Alcohol and Yes Intimate Partner Violence (of 83 participants analyzed).62.28 MillisecondsStandard Deviation 22.79
Primary

Usability of Heart Rate Variability-Biofeedback Intervention

Usability is assessed by the score on the self-report Post-Study System Usability Questionnaire (PSSUQ), ranging from 18-126. A low score indicates high usability of the Heart Rate Variability-Biofeedback (HRV-B) intervention, and a high score indicates low usability of the HRV-B intervention. Participants explore the device/app for 28 days and add the biofeedback technique for the final 7 days. They are asked to complete the PSSUQ during their exit interview.

Time frame: During the exit interview, following 28 days of ecological momentary assessment (EMA).

Population: Participants analyzed include all participants who completed the Post-Study System Usability Questionnaire.~Although N=86 participants completed the PSSUQ, one person responded with 'N/A' to all of the questions, thus creating an invalid response. Data was analyzed on N=85 participants.

ArmMeasureValue (MEAN)Dispersion
Full SampleUsability of Heart Rate Variability-Biofeedback Intervention51.6 score on a scaleStandard Deviation 23.7

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026