OSAHS Screening in Diverse Populations

July 26, 2026 updated by: Kang Wu

Screening for Obstructive Sleep Apnea-hypopnea Syndrome - for Community Populations, Patients With Specific Diseases and Special Populations

The goal of this prospective observational study is to learn about the current prevalence of obstructive sleep apnea-hypopnea syndrome in community population, patients with specific diseases and special population from China. The main question it aims to answer is: (1) What are the prevalence and clinical characteristics of OSA in the community population, the specific disease population and the special population respectively? (2) How about the application value of each OSA screening questionnaire for different populations？Participants will all complete a screening questionnaire, and some will be selected by random sampling to complete either a polysomnography (PSG) or a portable sleep monitor (PM).

Study Overview

Status

Recruiting

Conditions

Intervention / Treatment

Detailed Description

  1. This is a multi-center study spans China, engaging many hospitals and research institutions. It involves community residents, patients with hypertension, COPD, and other specific diseases, as well as special populations like university teachers and students, and company employees. The study is still recruiting and 2,185 subjects have been included currently.
  2. This study employs rigorous randomization methods to ensure the representativeness of the sample and the reliability of the results. For community residents, cluster sampling is first applied. A random number table method is used to select several communities within the designated research area. The research team then obtains a complete list of registered residents in these communities as the sampling frame. A computer-based random number generator is utilized to randomly select target residents. Those selected are contacted by telephone for the screening questionnaire. If telephone contact fails, interviewers visit the residents' homes to conduct the survey, ensuring every selected resident has an equal chance of participation.
  3. For individuals categorized into OSA high - risk and low - risk groups based on the screening questionnaire, computer - based numbering and randomization are used. Specifically, the information of individuals in each group is entered into a computer system, which assigns a unique number to each individual. Random number - generation software then produces a random sequence of numbers. Individuals are selected for subsequent PSG or PM based on this sequence. This method ensures the scientific and unbiased selection of the sample.
  4. The sample size is determined based on OSA's expected prevalence (23.6%). To estimate the 95% confidence interval with a 5% precision level, at least 277 participants are needed for diagnostic monitoring. Considering a 30% dropout rate and an 80% response rate for the screening questionnaire, the total sample size is set at 100,000 for questionnaires and 10,000 for PSG or PM.
  5. Missing data will be handled through multiple imputation. The reasons for missing data are recorded, and sensitivity analyses assess its impact on results. Data checks verify that entries meet predefined rules for range and consistency, identifying and correcting anomalies promptly.
  6. SOPs cover all aspects of registry operations, ensuring consistency and quality in data collection and management. All questionnaires were manually entered into the electronic system. The reports of PSG or PM were manually interpreted by two professional sleep physicians. In case of disputes, a third person was invited to intervene.

Study Type

Observational

Enrollment (Estimated)

100000

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

  • China
    • Guangdong
      • Guangzhou, Guangdong, China
        • Recruiting
        • The First Affiliated Hospital of Guangzhou Medical University
        • Contact:
    • Guizhou
      • Anshun, Guizhou, China
        • Not yet recruiting
        • Anshun People's Hospital
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Sampling Method

Probability Sample

Study Population

Target participants were recruited from multiple centers:

Community population: A random number table method is used to select several communities within the designated research area. The research team then obtains a complete list of registered residents in these communities as the sampling frame. A computer-based random number generator is utilized to randomly select target residents.

Patients with specific diseases: hypertension, diabetes, cardiovascular and cerebrovascular diseases, chronic obstructive pulmonary disease, asthma and other OSA related comorbidities.

Special population: Including college teachers and students, doctors and nurses, and company employees.

Description

Inclusion Criteria:

  • Sign the informed consent form before participating in the study
  • Complete independent behaviour and cognitive abilities
  • Ability to answer the questionnaire completely and accurately

Exclusion Criteria:

  • Incomplete answers to the scale
  • Patients with severe diseases and acute infections or those requiring long-term home oxygen therapy
  • Patients with severe mental and psychological disorders
  • Patients with severe organ failure
  • patients with a total sleep time <240 min by PSG or PM

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
community population
registered community populations aged 18-80 years old.
patients with specific diseases
patients with hypertension, diabetes, cardiovascular and cerebrovascular diseases, chronic obstructive pulmonary disease, asthma and other OSA related comorbidities, aged 18-80 years old.
Other: patients with hypertension, diabetes, cardiovascular and cerebrovascular diseases, chronic obstructive pulmonary disease, asthma and other OSA related comorbidities.
In order to explore the prevalence of OSA in patients with different comorbid diseases, this study set up this observation group.
special population
Including college teachers and students, doctors and nurses, and company employees, aged 18-80 years old.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Apnea-Hypopnea Index (AHI)
Time Frame: Baseline
Collected from polysomnography (PSG) or home sleep apnea testing (PM) for the diagnosis of obstructive sleep apnea (OSA). Unit of Measure: events/hour
Baseline
Lowest Oxygen Saturation (Lowest SpO₂)
Time Frame: Baseline
Collected from PSG or PM to evaluate nocturnal hypoxemia. Unit of Measure: %
Baseline

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Diagnostic Value of the CNCQ-OSA Questionnaire
Time Frame: Baseline
Based on the PSG/PM results as the reference standard, the diagnostic accuracy of the Obstructive Sleep Apnea Screening Questionnaire for Chinese Community (CNCQ-OSA) will be evaluated. The outcome measures include sensitivity, specificity, positive predictive value, negative predictive value, and overall accuracy rate. Unit of Measure: %
Baseline
Diagnostic Value of the STOP-Bang Questionnaire
Time Frame: Baseline
Based on the PSG/PM results as the reference standard, the diagnostic accuracy of the STOP-Bang questionnaire will be evaluated. The outcome measures include sensitivity, specificity, positive predictive value, negative predictive value, and overall accuracy rate. Unit of Measure: %
Baseline
Diagnostic Value of the NoSAS Score
Time Frame: Baseline
Based on the PSG/PM results as the reference standard, the diagnostic accuracy of the Neck circumference, Obesity, Snoring, Age, Sex (NoSAS) score will be evaluated. The outcome measures include sensitivity, specificity, positive predictive value, negative predictive value, and overall accuracy rate. Unit of Measure: %
Baseline

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Kang Wu

Investigators

  • Study Director: Nuofu Zhang, professor, The First Affiliated Hospital of Guangzhou Medical University

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

September 1, 2024

Primary Completion (Estimated)

August 1, 2027

Study Completion (Estimated)

August 1, 2027

Study Registration Dates

First Submitted

June 6, 2025

First Submitted That Met QC Criteria

July 26, 2026

First Posted (Actual)

July 30, 2026

Study Record Updates

Last Update Posted (Actual)

July 30, 2026

Last Update Submitted That Met QC Criteria

July 26, 2026

Last Verified

July 1, 2026

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

  • ES-2024-169-01
  • 202201020586 (Other Grant/Funding Number: Guangzhou Science and Technology Bureau)

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

YES

IPD Plan Description

all IPD that underlie results in a publication

IPD Sharing Supporting Information Type

  • STUDY_PROTOCOL
  • CSR

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

Subscribe