Poor Sleep QualityNCT07850687
Improving Sleep Health for Asian Americans
A study testing Intervention Group in people with Poor Sleep Quality and Short Sleep, run by New York University at 1 site in United States.
Trial summary
Filipino Americans are at high risk of poor sleep and its adverse health consequences. The goal of this study is to test a generative AI-powered chatbot that delivers personalized, evidence-based sleep education and guidance to Filipino Americans who experience poor sleep. Read more about this study
- Who is it for?
- Ages 30 to 70 years
- Conditions the study is for
- Poor Sleep Quality, Short Sleep
- What is being tested?
- Intervention Group
- Type of treatment
- Lifestyle or therapy programme
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 40 participants
- Where
- 1 siteUnited States
- Study dates
- 1 Oct 2026to 29 Feb 2028
- Phase
- Interventional
- Are there results?
- Not yet: the study is under way
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 30 to 70 years
- All sexes
- No healthy volunteers
- Adult, Older adult
Who may be able to join
- Age 30 to 70 years
- Self-identify as having a Filipino background and reside in the United States
- Poor sleep quality, defined as a Pittsburgh Sleep Quality Index (PSQI) score ≥ 5
- Short sleep duration, defined as an average Fitbit-measured total sleep time < 7 hours/night over 7 days
- Able to speak and read English
- Willing to engage with the chatbot via text messaging
Who cannot join
- Severe mental disorders, including major depressive symptoms
- Medical conditions, including cognitive impairment, that may interfere with the ability to follow study procedures
- Current participation in another lifestyle intervention
- Night-shift or rotating-shift worker
- Alcohol or substance abuse
- Use of sleep medications more than 3 times per week
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
United States1 site
New York University
New York, New York, 10010
Asian American Sleep Health Study, 3479170118, aa-sleephealth@nyu.edu
About this study
Official title: Pilot Testing a Sleep Intervention Among Filipino American Adults
Filipino Americans are at high risk of poor sleep and its adverse health consequences. The goal of this study is to test a generative AI-powered chatbot that delivers personalized, evidence-based sleep education and guidance to Filipino Americans who experience poor sleep.
- Conditions
- Poor Sleep Quality, Short Sleep
- Being tested
- Intervention Group
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Intervention GroupBehavioural
Participants engage with an AI chatbot for two weeks to learn personalized education and skills regarding sleep promotion
| Study group | Role | What they receive |
|---|---|---|
| Intervention | Experimental | Participants will receive access to an AI-based chatbot and engage with it via text messaging for 2 weeks. Receives: Behavioral: Intervention Group |
What is being measured
The primary outcome is the main question the study is designed to answer.
Intervention retention
Percentage of participants who complete the 2-week sleep intervention
Measured: From enrollment to 2-week post-intervention
Secondary outcomes (21)
Feasibility of recruitment
Percentage of adults who meet the study criteria
Measured: From screening to baseline
Feasibility of study enrollment
Percentage of eligible participants who provide consent
Measured: From screening to enrollment
Feasibility of completing the study assessment
Percentage of enrolled participants who complete the baseline assessment
Measured: From enrollment to baseline
Feasibility of completing the study assessment
Percentage of enrolled participants who complete the post-intervention assessment
Measured: From enrollment to 2-week post-intervention
Intervention acceptability
Satisfaction with the intervention will be measured by the Client Satisfaction Questionnaire-8. The total score ranges from 8 to 32, with higher scores indicating greater satisfaction with the intervention.
Measured: 2-week post-intervention
Intervention engagement
Total days of engaging with the chatbot
Measured: 2-week post-intervention, 2-month follow-up, and 4-month follow-up
Intervention engagement
Total duration of engaging with the chatbot
Measured: 2-week post-intervention, 2-month follow-up, and 4-month follow-up
Intervention engagement
Message exchanges per chat session
Measured: 2-week post-intervention, 2-month follow-up, and 4-month follow-up
Intervention usability
Usability of the intervention will be measured by the Chatbot Usability Questionnaire. The total score ranges from 0 to 100. Higher scores indicate greater perceived chatbot usability.
Measured: 2-week post-intervention
Fitbit-measured sleep duration
Sleep duration will be measured objectively using Fitbit and defined as the total amount of time spent asleep during the primary sleep period, expressed in minutes.
Measured: Baseline, 2-week post-intervention
Fitbit-measured sleep onset
Sleep onset will be measured objectively using Fitbit and defined as the time from attempting to fall asleep to sleep onset, expressed in minutes.
Measured: Baseline, 2-week post-intervention
Fitbit-measured sleep efficiency
Sleep efficiency will be measured objectively using Fitbit and defined as the percentage of time spent asleep while in bed, expressed as a percentage (%).
Measured: Baseline, 2-week post-intervention
Fitbit-measured wake after sleep onset
Wake after sleep onset will be measured objectively using Fitbit and defined as the total amount of time participants are awake after initially falling asleep until the final awakening, expressed in minutes.
Measured: Baseline, 2-week post-intervention
Fitbit-measured number of awakenings
Wake after sleep onset will be measured objectively using Fitbit and defined as the total count of times a person fully wakes up or regains consciousness after initially falling asleep during a sleep period
Measured: Baseline, 2-week post-intervention
Fitbit-measured light sleep duration
Light sleep duration will be measured objectively using Fitbit and defined as the total time spent in the light sleep stage during the primary sleep period, expressed in minutes.
Measured: Baseline, 2-week post-intervention
Fitbit-measured deep sleep duration
Deep sleep duration will be measured objectively using Fitbit and defined as the total time spent in the deep sleep stage during the primary sleep period, expressed in minutes.
Measured: Baseline, 2-week post-intervention
Fitbit-measured rapid eye movement sleep duration
Rapid eye movement sleep duration will be measured objectively using Fitbit and defined as the total time spent in the rapid eye movement sleep stage during the primary sleep period, expressed in minutes.
Measured: Baseline, 2-week post-intervention
Perceived sleep quality
Perceived sleep quality will be measured by the Pittsburgh Sleep Quality Index. The total score ranges from 0 to 21, with higher scores indicating worse sleep quality.
Measured: Baseline, 2-week post-intervention, 2-month follow-up, 4-month follow-up
Daytime sleepiness
Daytime sleepiness will be measured using the Epworth Sleepiness Scale. The total score ranges from 0 to 24, with higher scores indicating greater daytime sleepiness.
Measured: Baseline, 2-week post-intervention
Dysfunctional beliefs and attitudes about sleep
Dysfunctional beliefs and attitudes about sleep will be measured using the Dysfunctional Beliefs and Attitudes about Sleep Scale (DBAS-16). The total score ranges from 0 to 10, with a higher score indicating more dysfunctional beliefs and attitudes about sleep.
Measured: Baseline, 2-week post-intervention
Sleep hygiene
Sleep hygiene will be measured using the Sleep Hygiene Index. The total score ranges from 13 to 65, with a higher score indicating poorer sleep hygiene (a worse outcome)
Measured: Baseline, 2-week post-intervention
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted30 Sep 2026
- Study start1 Oct 2026 (estimated)
- Primary completion1 Oct 2027 (estimated)
- Study completion29 Feb 2028 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Poor Sleep QualityStudies of the same condition, open and under way.
- More trials run by New York 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
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Prevention
- Allocation
- Not applicable
- Intervention model
- Single group
- Masking
- None (open label)
- Enrolment
- 40 participants (estimated)
Sponsor and investigators
- Lead sponsor
- New York University
- Sponsor type
- University, hospital or other
- Collaborators
- National Institute on Minority Health and Health Disparities (NIMHD)
- Responsible party
- Principal investigator, Xiaoyue Liu, New York University
- Investigators
- Xiaoyue Liu, Principal investigator, New York University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07850687
- Sponsor's protocol ID
- FY2027-11918
- Other IDs
- 1R21MD020471-01A1
- Status last verified
- Sep 2026
- First submitted
- 24 Sep 2026
- Last updated
- 2 Oct 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No: To protect participants' personal information and privacy
Study at a glance
From the registry record, last updated by the sponsor on 2 Oct 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Pilot Testing a Sleep Intervention Among Filipino American Adults
- ClinicalTrials.gov ID
- NCT07850687
- Acronym / sponsor ID
- FY2027-11918
- Conditions
- Poor Sleep Quality, Short Sleep
- Study type
- Interventional
- Recruitment status
- Not yet recruiting
- Enrolment
- 40 participants (estimated)
- Lead sponsor
- New York UniversityUniversity, hospital or other
- Collaborators
- National Institute on Minority Health and Health Disparities (NIMHD)
- Study start
- 1 Oct 2026 (estimated)
- Primary completion
- 1 Oct 2027 (estimated)
- Study completion
- 29 Feb 2028 (estimated)
- First posted
- 30 Sep 2026 (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.
Filipino Americans are at high risk of poor sleep and its adverse health consequences. The goal of this study is to test a generative AI-powered chatbot that delivers personalized, evidence-based sleep education and guidance to Filipino Americans who experience poor sleep.
Study design
- Primary purpose
- Prevention
- Allocation
- Not applicable
- Intervention model
- Single group
- Masking
- None (open label)
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| Intervention | Experimental | Behavioral: Intervention GroupParticipants will receive access to an AI-based chatbot and engage with it via text messaging for 2 weeks. |
Who may qualify
- Ages
- 30 to 70 years
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (6 listed)
- Age 30 to 70 years
- Self-identify as having a Filipino background and reside in the United States
- Poor sleep quality, defined as a Pittsburgh Sleep Quality Index (PSQI) score ≥ 5
- Short sleep duration, defined as an average Fitbit-measured total sleep time < 7 hours/night over 7 days
- Able to speak and read English
Key exclusion criteria (6 listed)
- Severe mental disorders, including major depressive symptoms
- Medical conditions, including cognitive impairment, that may interfere with the ability to follow study procedures
- Current participation in another lifestyle intervention
- Night-shift or rotating-shift worker
- Alcohol or substance abuse
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 |
|---|---|---|
| Intervention GroupParticipants engage with an AI chatbot for two weeks to learn personalized education and skills regarding sleep promotion | Behavioural | Intervention |
Primary outcome
Intervention retention
Time frame: From enrollment to 2-week post-intervention
Percentage of participants who complete the 2-week sleep intervention
21 secondary outcomes
Feasibility of recruitment
Time frame: From screening to baseline
Feasibility of study enrollment
Time frame: From screening to enrollment
Feasibility of completing the study assessment
Time frame: From enrollment to baseline
Feasibility of completing the study assessment
Time frame: From enrollment to 2-week post-intervention
Intervention acceptability
Time frame: 2-week post-intervention
Intervention engagement
Time frame: 2-week post-intervention, 2-month follow-up, and 4-month follow-up
Intervention engagement
Time frame: 2-week post-intervention, 2-month follow-up, and 4-month follow-up
Intervention engagement
Time frame: 2-week post-intervention, 2-month follow-up, and 4-month follow-up
Intervention usability
Time frame: 2-week post-intervention
Fitbit-measured sleep duration
Time frame: Baseline, 2-week post-intervention
Fitbit-measured sleep onset
Time frame: Baseline, 2-week post-intervention
Fitbit-measured sleep efficiency
Time frame: Baseline, 2-week post-intervention
Fitbit-measured wake after sleep onset
Time frame: Baseline, 2-week post-intervention
Fitbit-measured number of awakenings
Time frame: Baseline, 2-week post-intervention
Fitbit-measured light sleep duration
Time frame: Baseline, 2-week post-intervention
Fitbit-measured deep sleep duration
Time frame: Baseline, 2-week post-intervention
Fitbit-measured rapid eye movement sleep duration
Time frame: Baseline, 2-week post-intervention
Perceived sleep quality
Time frame: Baseline, 2-week post-intervention, 2-month follow-up, 4-month follow-up
Daytime sleepiness
Time frame: Baseline, 2-week post-intervention
Dysfunctional beliefs and attitudes about sleep
Time frame: Baseline, 2-week post-intervention
Sleep hygiene
Time frame: Baseline, 2-week post-intervention
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 2 Oct 2026.
- Individual participant dataSharing planned: No. To protect participants' personal information and privacy
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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.
Xiaoyue Liu principal investigator
New York University
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Intervention Group in people with Poor Sleep Quality and Short Sleep, run by New York 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 6 inclusion and 6 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: opening soon, as of the sponsor's last update on 2 Oct 2026. 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?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Xiaoyue Liu, PhD (2129925994, xl5272@nyu.edu), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Intervention retention (time frame: From enrollment to 2-week post-intervention). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
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 2 Oct 2026; AzTrials last refreshed its copy on 6 Nov 2026.