AzTrials
AzTrials

Insulin ResistanceDAISYNCT05950282

Determinants of Insulin Sensitivity by Age, Sex, Race/Ethnicity, BMI, and PCOS Diagnosis

An observational study of Insulin Resistance and Polycystic Ovary Syndrome, run by Ali Chappell at 1 site in United States.

Recruiting

Looking for participants now. Contact the study team or a site below to ask about taking part.

Sites and contacts
Official record
Search all trials

Trial summary

The study aims to investigate the relationship between fasting insulin and Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) across various demographic factors, including age, sex, race/ethnicity, BMI, and polycystic ovary syndrome (PCOS) diagnosis. Read more about this study

Who is it for?
Ages 18 years and olderHealthy volunteers can take part
How many people
150 participants
Where
1 siteUnited States
Study dates
1 Feb 2024to Dec 2027
How long will I take part?
1 Year
Phase
Observational
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 18 years and older
  • All sexes
  • Healthy volunteers accepted
  • Adult, Older adult

Study population: The study aims to investigate the levels of Fasting Insulin and HOMA-IR (Homeostatic Model Assessment of Insulin Resistance) among individuals with varying characteristics, including age, sex, race/ethnicity, BMI (Body Mass Index), and PCOS (Polycystic Ovary Syndrome) diagnosis. The study population consists of a diverse group of participants referred by healthcare providers and online platforms.

Inclusion Criteria Age: Participants aged 18+ years Sex: Both males and females Race/Ethnicity: Participants from diverse racial and ethnic backgrounds BMI: Participants across a range of body mass index (BMI) values PCOS Diagnosis: Participants with and without a confirmed diagnosis of PCOS based on established diagnostic criteria

Participants must have completed metabolic testing within one month prior to enrollment, including:

  • Fasting insulin
  • Hemoglobin A1c (A1c)
  • Complete lipid panel
  • Triglycerides Laboratory testing must be completed through a healthcare provider, an independent laboratory, or by using an Insara Insulin Testing Kit Laboratory values must be obtained following a minimum 8-hour fast Participants must have complete laboratory data for all required measures

Exclusion Criteria Age: Participants below 18 years Sex: None. Both males and females are included Race/Ethnicity: None. Participants from all racial and ethnic backgrounds are included Endocrine Disorders: Participants with other endocrine disorders affecting insulin levels (e.g., insulin-secreting tumors) Significant recent weight change: Loss of more than 5% of body weight within the previous month Pregnancy or breastfeeding Acute illness or infection within the past 2 weeks Use of medications known to significantly affect insulin or glucose metabolism will be recorded and accounted for in analysis

Trial locations and contacts

1 site in 1 country. Contact the study team or a site near you to ask about taking part.

Ali M Chappell, PhD, MS, RD contact

4092070443

research@insara.com

United States1 site, 1 recruiting
  • Lilli Health

    Houston, Texas, 77554

    Ali M Chappell, PhD, MS, RD, 8064417275, achappell@lillihealth.com

    Recruiting

Other trials in United States

About this study

Official title: Measuring Fasting Insulin and HOMA-IR by Age, Sex, Race/Ethnicity, BMI, and PCOS Diagnosis

The study aims to investigate the relationship between fasting insulin and Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) across various demographic factors, including age, sex, race/ethnicity, BMI, and polycystic ovary syndrome (PCOS) diagnosis. By analyzing these variables, the study seeks to identify potential variations in insulin levels, which could provide valuable insights into the impact of different factors on metabolic health and the development of insulin-related conditions.

Read the detailed description

This study aims to investigate the significance of measuring fasting insulin and the homeostatic model assessment of insulin resistance (HOMA-IR) in identifying metabolic health across various demographic and clinical factors. Specifically, the study will examine the influence of age, sex, race/ethnicity, BMI, and polycystic ovary syndrome (PCOS) diagnosis on insulin levels and insulin resistance as essential indicators of metabolic dysfunction.

Metabolic health disorders, such as insulin resistance and impaired glucose metabolism, are known to be associated with an increased risk of developing conditions like type 2 diabetes, cardiovascular diseases, and metabolic syndrome. Traditionally, glucose levels have been used to assess metabolic health; however, fasting insulin and HOMA-IR provide valuable insights into the underlying insulin dysregulation that precedes the onset of these conditions.

Disparities in insulin levels have been observed across different racial and ethnic groups. These variations may arise from genetic predispositions, differences in lifestyle, or a combination of both, thus highlighting the need to explore these factors comprehensively. BMI, a measure of body composition, has been strongly associated with elevated insulin levels and insulin resistance. Individuals with obesity often exhibit dysregulated insulin metabolism, leading to higher fasting insulin and HOMA-IR values. Furthermore, PCOS, a common endocrine disorder affecting reproductive-age women, is frequently associated with insulin resistance. Studying the insulin profiles among women with PCOS will shed light on the potential metabolic implications and help tailor interventions for this at-risk population.

The study will employ a cross-sectional design, enrolling a large sample of participants from diverse backgrounds. Fasting insulin levels will be measured using standardized laboratory methods, and HOMA-IR scores will be calculated based on fasting insulin and glucose values. Statistical analyses, including regression models and subgroup comparisons, will be conducted to assess the associations between fasting insulin, HOMA-IR, and the demographic and clinical factors of interest.

This research aims to emphasize the importance of incorporating fasting insulin and HOMA-IR measurements alongside glucose assessments to enhance the identification and understanding of metabolic health disorders. The findings are expected to contribute to a more comprehensive approach in diagnosing, managing, and preventing metabolic diseases, ultimately leading to improved patient outcomes and public health interventions.

Keywords
PCOS, Hyperinsulinemia, Insulin Resistance, Metabolic Syndrome, Obesity, Type 2 Diabetes
Medical subject headings
Insulin Resistance, Polycystic Ovary Syndrome, Hyperinsulinism, Obesity, Metabolic Syndrome, Diabetes Mellitus, Type 2

What is being measured

The primary outcome is the main question the study is designed to answer.

  1. Assessment of Fasting Insulin levels and HOMA-IR (Homeostatic Model Assessment for Insulin Resistance) scores among different groups stratified by age, sex, race/ethnicity, BMI, and PCOS (Polycystic Ovary Syndrome) diagnosis.

    The primary objective is to investigate the association between these measures and the specified demographic and clinical factors, providing insights into the variations and potential disparities in insulin resistance across different subgroups.

    Measured: 3 years

Secondary outcomes (1)
  1. Identify any significant interactions or relationships between the primary outcomes (Fasting Insulin and HOMA-IR) and the demographic and clinical factors, including age, sex, race/ethnicity, BMI, and PCOS diagnosis.

    The secondary outcome measure will provide a comprehensive understanding of how various factors may influence insulin resistance and contribute to its heterogeneity in different populations.

    Measured: 3 years

Timeline

From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.

  1. First posted18 Jul 2023
  2. Study start1 Feb 2024
  3. Primary completionOct 2027 (estimated)
  4. Study completionDec 2027 (estimated)

Resources

More details

For doctors and researchers: how the study is designed, who runs it, and its registry IDs.

Study design
Study type
Observational
Observational model
Other
Time perspective
Cross-sectional
Enrolment
150 participants (estimated)
Target duration
1 Year
IDs, dates and publications
ClinicalTrials.gov ID
NCT05950282
Sponsor's protocol ID
2023-0060
Acronym
DAISY
Status last verified
Apr 2026
First submitted
10 Jul 2023
Last updated
1 May 2026
Results posted
No
Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
No
Individual data sharing
No

Questions about this trial

What is this clinical trial studying?

An observational study of Insulin Resistance and Polycystic Ovary Syndrome, run by Ali Chappell 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?

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: looking for participants now, as of the sponsor's last update on 1 May 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 Ali M Chappell, PhD, MS, RD (4092070443, research@insara.com), or a site near the patient. AzTrials does not enrol participants or take referrals.

What does the primary outcome measure?

Assessment of Fasting Insulin levels and HOMA-IR (Homeostatic Model Assessment for Insulin Resistance) scores among different groups stratified by age, sex, race/ethnicity, BMI, and PCOS (Polycystic Ovary Syndrome) diagnosis. (time frame: 3 years). 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 1 May 2026.

Free account

Log in to keep searching

You’ve used your 3 free searches. AzTrials is free: log in or create a free account to keep searching clinical trials and save the ones you want to follow.

Create a free accountLog in