ObesityNCT03195712
Metabolically Healthy Obesity: Correlations Between BMI and Metabolic Syndrome Biomarkers
An observational study of Obesity, run by St. Luke's-Roosevelt Hospital Center at 1 site in United States.
Trial summary
The study team's research fills the gap in the obesity literature where BMI with a cut point of 35 is frequently used to show the association between BMI and metabolic syndrome biomarkers. Read more about this study
- Who is it for?
- Ages 25 to 75 yearsHealthy volunteers can take part
- Conditions the study is for
- Obesity
- How many people
- 691 participants
- Where
- 1 siteUnited States
- Study dates
- 4 Sep 2012to 30 Sep 2016
- Phase
- Observational
- Are there results?
- None posted in the registry
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 25 to 75 years
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Study population: BMI 35- 69.9 Men and Women over age 25
Who may be able to join
- BMI in the range of 35 - 69.9
- Men and Women over age 25
Who cannot join
None listed.
Trial locations and contacts
1 site in 1 country.
About this study
Official title: Metabolically Healthy Obesity: Correlations Between BMI and Metabolic Syndrome Biomarkers in Class II and III Obesity
The study team's research fills the gap in the obesity literature where BMI with a cut point of 35 is frequently used to show the association between BMI and metabolic syndrome biomarkers. The study team was unable to locate any papers that showed the association between metabolic syndrome biomarkers and BMI from 35 to 69.9, and especially graphically as this clinical team has presented.
Read the detailed description
A positive association between BMI and metabolic health risk is often presented graphically as a J-shaped curve with BMI on the x-axis and the biomarker of interest on the y-axis. However, BMI is frequently presented in the literature with a cut point of 35 on the x-axis, leading to the assumption that the steep association continues beyond a BMI of 35. This presentation does not capture the metabolically healthy individual with obesity.
In the population of men and women with class II and II obesity who the clinical team studied, it was examined that the association between BMI as a continuous variable from 35 to 69.9 and metabolic syndrome biomarkers (total-, low density, and high density cholesterol, triglycerides, systolic and diastolic blood pressure, fasting blood glucose, and glycosylated hemoglobin), the study team found no evidence for a positive correlation between BMI and TC, LDL-C, TG, and FBG. And while the study team did find positive and significant correlations between BMI and HDL-C, SBP, DBP, and HgbA1C, the effect sizes were small and arguably clinically insignificant.
The study team's research fills the gap in the obesity literature where BMI with a cut point of 35 is frequently used to show the association between BMI and metabolic syndrome biomarkers. The clinical team was unable to locate any papers that showed the association between metabolic syndrome biomarkers and BMI from 35 to 69.9, and especially graphically as this clinical team has presented.
- Conditions
- Obesity
- Keywords
- BMI, Obesity
- Medical subject headings
- Obesity
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
| Study group | Role | What they receive |
|---|---|---|
| Patients with Class II and III Obesity | Patients enrolled in an outpatient weight loss program from 2010-2016. |
What is being measured
The primary outcome is the main question the study is designed to answer.
The association between BMI from 35 - 69.9 and Total cholesterol
The statistical association between a range of BMIs from 35 to 69.9 kg/m2 and total cholesterol reported in mg/dl. Blood draw was performed at an independent lab as prescribed by the patients' private physician and reported to the weight loss program at Mount Sinai St. Luke's Hospital prior to the patient starting the program. To determine the association between the BMIs and total cholesterol a linear regression analysis was performed and reported graphically. The regression equation, R2, and the p-value for the regression were presented on the graph.
Measured: 7 years
Secondary outcomes (7)
The association between BMI from 35 - 69.9 and HDL- cholesterol
The statistical association between a range of BMIs from 35 to 69.9 kg/m2 and HDL-cholesterol reported in mg/dl. Blood draw was performed at an independent lab as prescribed by the patients' private physician and reported to the weight loss program at Mount Sinai St. Luke's Hospital prior to the patient starting the program. To determine the association between the BMIs and HDL-cholesterol a linear regression analysis was performed and reported graphically. The regression equation, R2, and the p-value for the regression were presented on the graph.
Measured: 7 years
The association between BMI from 35 - 69.9 and LDL- cholesterol
The statistical association between a range of BMIs from 35 to 69.9 kg/m2 and LDL-cholesterol reported in mg/dl. Blood draw was performed at an independent lab as prescribed by the patients' private physician and reported to the weight loss program at Mount Sinai St. Luke's Hospital prior to the patient starting the program. To determine the association between the BMIs and LDL-cholesterol a linear regression analysis was performed and reported graphically. The regression equation, R2, and the p-value for the regression were presented on the graph.
Measured: 7 years
The association between BMI from 35 - 69.9 and Triglycerides
The statistical association between a range of BMIs from 35 to 69.9 kg/m2 and triglycerides reported in mg/dl. Blood draw was performed at an independent lab as prescribed by the patients' private physician and reported to the weight loss program at Mount Sinai St. Luke's Hospital prior to the patient starting the program. To determine the association between the BMIs and triglycerides a linear regression analysis was performed and reported graphically. The regression equation, R2, and the p-value for the regression were presented on the graph.
Measured: 7 years
The association between BMI from 35 - 69.9 and Systolic Blood Pressure
The statistical association between a range of BMIs from 35 to 69.9 kg/m2 and systolic blood pressure reported in mm/Hg. Resting blood pressure was performed by the patients' private physician at their private office and reported to the weight loss program at Mount Sinai St. Luke's Hospital prior to the patient starting the program. To determine the association between the BMIs and systolic blood pressure a linear regression analysis was performed and reported graphically. The regression equation, R2, and the p-value for the regression were presented on the graph.
Measured: 7 years
The association between BMI from 35 - 69.9 and Diastolic Blood Pressure
The statistical association between a range of BMIs from 35 to 69.9 kg/m2 and diastolic blood pressure reported in mm/Hg. Resting blood pressure was performed by the patients' private physician at their private office and reported to the weight loss program at Mount Sinai St. Luke's Hospital prior to the patient starting the program. To determine the association between the BMIs and diastolic blood pressure a linear regression analysis was performed and reported graphically. The regression equation, R2, and the p-value for the regression were presented on the graph.
Measured: 7 years
The association between BMI from 35 - 69.9 and Fasting blood glucose
The statistical association between a range of BMIs from 35 to 69.9 kg/m2 and fasting blood glucose reported in mg/dl. Blood draw was performed at an independent lab as prescribed by the patients' private physician and reported to the weight loss program at Mount Sinai St. Luke's Hospital prior to the patient starting the program. To determine the association between the BMIs and fasting blood glucose a linear regression analysis was performed and reported graphically. The regression equation, R2, and the p-value for the regression were presented on the graph.
Measured: 7 years
The association between BMI from 35 - 69.9 and Hemoglobin A1C
The statistical association between a range of BMIs from 35 to 69.9 kg/m2 and hemoglobin A1C reported in percent (%). Blood draw was performed at an independent lab as prescribed by the patients' private physician and reported to the weight loss program at Mount Sinai St. Luke's Hospital prior to the patient starting the program. To determine the association between the BMIs and hemoglobin A1C a linear regression analysis was performed and reported graphically. The regression equation, R2, and the p-value for the regression were presented on the graph.
Measured: 7 years
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted22 Jun 2017
- Study start4 Sep 2012
- Primary completion30 Sep 2016
- Study completion30 Sep 2016
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for ObesityStudies of the same condition, open and under way.
- 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
- Observational
- Observational model
- Cohort
- Time perspective
- Retrospective
- Enrolment
- 691 participants (actual)
Sponsor and investigators
- Lead sponsor
- St. Luke's-Roosevelt Hospital Center
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
- Investigators
- Richard Weil, M.Ed, Principal investigator, Icahn School of Medicine at Mount Sinai
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT03195712
- Sponsor's protocol ID
- IRB 12-048x
- Status last verified
- Jun 2017
- First submitted
- 9 Jun 2017
- Last updated
- 22 Jun 2017
- Results posted
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
Study at a glance
From the registry record, last updated by the sponsor on 22 Jun 2017. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Metabolically Healthy Obesity: Correlations Between BMI and Metabolic Syndrome Biomarkers in Class II and III Obesity
- ClinicalTrials.gov ID
- NCT03195712
- Acronym / sponsor ID
- IRB 12-048x
- Conditions
- Obesity
- Keywords
- BMI, Obesity
- Study type
- Observational
- Recruitment status
- Completed
- Enrolment
- 691 participants (actual)
- Lead sponsor
- St. Luke's-Roosevelt Hospital CenterUniversity, hospital or other
- Study start
- 4 Sep 2012 (actual)
- Primary completion
- 30 Sep 2016 (actual)
- Study completion
- 30 Sep 2016 (actual)
- First posted
- 22 Jun 2017 (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.
The study team's research fills the gap in the obesity literature where BMI with a cut point of 35 is frequently used to show the association between BMI and metabolic syndrome biomarkers. The study team was unable to locate any papers that showed the association between metabolic syndrome biomarkers and BMI from 35 to 69.9, and especially graphically as this clinical team has presented.
Detailed description
A positive association between BMI and metabolic health risk is often presented graphically as a J-shaped curve with BMI on the x-axis and the biomarker of interest on the y-axis. However, BMI is frequently presented in the literature with a cut point of 35 on the x-axis, leading to the assumption that the steep association continues beyond a BMI of 35. This presentation does not capture the metabolically healthy individual with obesity.
In the population of men and women with class II and II obesity who the clinical team studied, it was examined that the association between BMI as a continuous variable from 35 to 69.9 and metabolic syndrome biomarkers (total-, low density, and high density cholesterol, triglycerides, systolic and diastolic blood pressure, fasting blood glucose, and glycosylated hemoglobin), the study team found no evidence for a positive correlation between BMI and TC, LDL-C, TG, and FBG. And while the study team did find positive and significant correlations between BMI and HDL-C, SBP, DBP, and HgbA1C, the effect sizes were small and arguably clinically insignificant.
The study team's research fills the gap in the obesity literature where BMI with a cut point of 35 is frequently used to show the association between BMI and metabolic syndrome biomarkers. The clinical team was unable to locate any papers that showed the association between metabolic syndrome biomarkers and BMI from 35 to 69.9, and especially graphically as this clinical team has presented.
Study design
- Observational model
- Cohort
- Time perspective
- Retrospective
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| Patients with Class II and III Obesity | – | –Patients enrolled in an outpatient weight loss program from 2010-2016. |
Who may qualify
- Ages
- 25 to 75 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
- Study population
- BMI 35- 69.9 Men and Women over age 25
Key inclusion criteria (2 listed)
- BMI in the range of 35 - 69.9
- Men and Women over age 25
Key exclusion criteria (0 listed)
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
The association between BMI from 35 - 69.9 and Total cholesterol
Time frame: 7 years
The statistical association between a range of BMIs from 35 to 69.9 kg/m2 and total cholesterol reported in mg/dl. Blood draw was performed at an independent lab as prescribed by the patients' private physician and reported to the weight loss program at Mount Sinai St. Luke's Hospital prior to the patient starting the program. To determine the association between the BMIs and total cholesterol a linear regression analysis was performed and reported graphically. The regression equation, R2, and the p-value for the regression were presented on the graph.
7 secondary outcomes
The association between BMI from 35 - 69.9 and HDL- cholesterol
Time frame: 7 years
The association between BMI from 35 - 69.9 and LDL- cholesterol
Time frame: 7 years
The association between BMI from 35 - 69.9 and Triglycerides
Time frame: 7 years
The association between BMI from 35 - 69.9 and Systolic Blood Pressure
Time frame: 7 years
The association between BMI from 35 - 69.9 and Diastolic Blood Pressure
Time frame: 7 years
The association between BMI from 35 - 69.9 and Fasting blood glucose
Time frame: 7 years
The association between BMI from 35 - 69.9 and Hemoglobin A1C
Time frame: 7 years
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 22 Jun 2017.
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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. This study is not recruiting at the moment.
Richard Weil, M.Ed principal investigator
Icahn School of Medicine at Mount Sinai
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Obesity, run by St. Luke's-Roosevelt Hospital Center 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 2 inclusion and 0 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: finished, as of the sponsor's last update on 22 Jun 2017. 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?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
The association between BMI from 35 - 69.9 and Total cholesterol (time frame: 7 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 22 Jun 2017.