Metabolically Healthy Obesity: Correlations Between BMI and Metabolic Syndrome Biomarkers
19 juni 2017 uppdaterad av: St. Luke's-Roosevelt Hospital Center
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.
Studieöversikt
Status
Avslutad
Betingelser
Detaljerad beskrivning
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.
Studietyp
Observationell
Inskrivning (Faktisk)
691
Kontakter och platser
Det här avsnittet innehåller kontaktuppgifter för dem som genomför studien och information om var denna studie genomförs.
Studieorter
-
-
New York
-
New York, New York, Förenta staterna, 10025
- Mount Sinai St, Luke's
-
-
Deltagandekriterier
Forskare letar efter personer som passar en viss beskrivning, så kallade behörighetskriterier. Några exempel på dessa kriterier är en persons allmänna hälsotillstånd eller tidigare behandlingar.
Urvalskriterier
Åldrar som är berättigade till studier
25 år till 75 år (Vuxen, Äldre vuxen)
Tar emot friska volontärer
Ja
Kön som är behöriga för studier
Allt
Testmetod
Icke-sannolikhetsprov
Studera befolkning
BMI 35- 69.9 Men and Women over age 25
Beskrivning
Inclusion Criteria:
- BMI in the range of 35 - 69.9
- Men and Women over age 25
Studieplan
Det här avsnittet ger detaljer om studieplanen, inklusive hur studien är utformad och vad studien mäter.
Hur är studien utformad?
Designdetaljer
Kohorter och interventioner
Grupp / Kohort |
|---|
|
Patients with Class II and III Obesity
Patients enrolled in an outpatient weight loss program from 2010-2016.
|
Vad mäter studien?
Primära resultatmått
Resultatmått |
Åtgärdsbeskrivning |
Tidsram |
|---|---|---|
|
The association between BMI from 35 - 69.9 and Total cholesterol
Tidsram: 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 years
|
Sekundära resultatmått
Resultatmått |
Åtgärdsbeskrivning |
Tidsram |
|---|---|---|
|
The association between BMI from 35 - 69.9 and HDL- cholesterol
Tidsram: 7 years
|
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.
|
7 years
|
|
The association between BMI from 35 - 69.9 and LDL- cholesterol
Tidsram: 7 years
|
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.
|
7 years
|
|
The association between BMI from 35 - 69.9 and Triglycerides
Tidsram: 7 years
|
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.
|
7 years
|
|
The association between BMI from 35 - 69.9 and Systolic Blood Pressure
Tidsram: 7 years
|
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.
|
7 years
|
|
The association between BMI from 35 - 69.9 and Diastolic Blood Pressure
Tidsram: 7 years
|
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.
|
7 years
|
|
The association between BMI from 35 - 69.9 and Fasting blood glucose
Tidsram: 7 years
|
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.
|
7 years
|
|
The association between BMI from 35 - 69.9 and Hemoglobin A1C
Tidsram: 7 years
|
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.
|
7 years
|
Samarbetspartners och utredare
Det är här du hittar personer och organisationer som är involverade i denna studie.
Utredare
- Huvudutredare: Richard Weil, M.Ed, Icahn School of Medicine at Mount Sinai
Studieavstämningsdatum
Dessa datum spårar framstegen för inlämningar av studieposter och sammanfattande resultat till ClinicalTrials.gov. Studieposter och rapporterade resultat granskas av National Library of Medicine (NLM) för att säkerställa att de uppfyller specifika kvalitetskontrollstandarder innan de publiceras på den offentliga webbplatsen.
Studera stora datum
Studiestart (Faktisk)
4 september 2012
Primärt slutförande (Faktisk)
30 september 2016
Avslutad studie (Faktisk)
30 september 2016
Studieregistreringsdatum
Först inskickad
9 juni 2017
Först inskickad som uppfyllde QC-kriterierna
19 juni 2017
Första postat (Faktisk)
22 juni 2017
Uppdateringar av studier
Senaste uppdatering publicerad (Faktisk)
22 juni 2017
Senaste inskickade uppdateringen som uppfyllde QC-kriterierna
19 juni 2017
Senast verifierad
1 juni 2017
Mer information
Termer relaterade till denna studie
Ytterligare relevanta MeSH-villkor
Andra studie-ID-nummer
- IRB 12-048x
Läkemedels- och apparatinformation, studiedokument
Studerar en amerikansk FDA-reglerad läkemedelsprodukt
Nej
Studerar en amerikansk FDA-reglerad produktprodukt
Nej
Denna information hämtades direkt från webbplatsen clinicaltrials.gov utan några ändringar. Om du har några önskemål om att ändra, ta bort eller uppdatera dina studieuppgifter, vänligen kontakta register@clinicaltrials.gov. Så snart en ändring har implementerats på clinicaltrials.gov, kommer denna att uppdateras automatiskt även på vår webbplats .