Metabolically Healthy Obesity: Correlations Between BMI and Metabolic Syndrome Biomarkers
19. juni 2017 opdateret af: 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.
Studieoversigt
Status
Afsluttet
Betingelser
Detaljeret beskrivelse
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.
Undersøgelsestype
Observationel
Tilmelding (Faktiske)
691
Kontakter og lokationer
Dette afsnit indeholder kontaktoplysninger for dem, der udfører undersøgelsen, og oplysninger om, hvor denne undersøgelse udføres.
Studiesteder
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New York
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New York, New York, Forenede Stater, 10025
- Mount Sinai St, Luke's
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Deltagelseskriterier
Forskere leder efter personer, der passer til en bestemt beskrivelse, kaldet berettigelseskriterier. Nogle eksempler på disse kriterier er en persons generelle helbredstilstand eller tidligere behandlinger.
Berettigelseskriterier
Aldre berettiget til at studere
25 år til 75 år (Voksen, Ældre voksen)
Tager imod sunde frivillige
Ja
Køn, der er berettiget til at studere
Alle
Prøveudtagningsmetode
Ikke-sandsynlighedsprøve
Studiebefolkning
BMI 35- 69.9 Men and Women over age 25
Beskrivelse
Inclusion Criteria:
- BMI in the range of 35 - 69.9
- Men and Women over age 25
Studieplan
Dette afsnit indeholder detaljer om studieplanen, herunder hvordan undersøgelsen er designet, og hvad undersøgelsen måler.
Hvordan er undersøgelsen tilrettelagt?
Design detaljer
Kohorter og interventioner
Gruppe / kohorte |
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Patients with Class II and III Obesity
Patients enrolled in an outpatient weight loss program from 2010-2016.
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Hvad måler undersøgelsen?
Primære resultatmål
Resultatmål |
Foranstaltningsbeskrivelse |
Tidsramme |
|---|---|---|
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The association between BMI from 35 - 69.9 and Total cholesterol
Tidsramme: 7 years
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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.
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7 years
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Sekundære resultatmål
Resultatmål |
Foranstaltningsbeskrivelse |
Tidsramme |
|---|---|---|
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The association between BMI from 35 - 69.9 and HDL- cholesterol
Tidsramme: 7 years
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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.
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7 years
|
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The association between BMI from 35 - 69.9 and LDL- cholesterol
Tidsramme: 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.
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7 years
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The association between BMI from 35 - 69.9 and Triglycerides
Tidsramme: 7 years
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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.
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7 years
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The association between BMI from 35 - 69.9 and Systolic Blood Pressure
Tidsramme: 7 years
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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.
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7 years
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The association between BMI from 35 - 69.9 and Diastolic Blood Pressure
Tidsramme: 7 years
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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.
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7 years
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The association between BMI from 35 - 69.9 and Fasting blood glucose
Tidsramme: 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
|
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The association between BMI from 35 - 69.9 and Hemoglobin A1C
Tidsramme: 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.
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7 years
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Samarbejdspartnere og efterforskere
Det er her, du vil finde personer og organisationer, der er involveret i denne undersøgelse.
Efterforskere
- Ledende efterforsker: Richard Weil, M.Ed, Icahn School of Medicine at Mount Sinai
Datoer for undersøgelser
Disse datoer sporer fremskridtene for indsendelser af undersøgelsesrekord og resumeresultater til ClinicalTrials.gov. Studieregistreringer og rapporterede resultater gennemgås af National Library of Medicine (NLM) for at sikre, at de opfylder specifikke kvalitetskontrolstandarder, før de offentliggøres på den offentlige hjemmeside.
Studer store datoer
Studiestart (Faktiske)
4. september 2012
Primær færdiggørelse (Faktiske)
30. september 2016
Studieafslutning (Faktiske)
30. september 2016
Datoer for studieregistrering
Først indsendt
9. juni 2017
Først indsendt, der opfyldte QC-kriterier
19. juni 2017
Først opslået (Faktiske)
22. juni 2017
Opdateringer af undersøgelsesjournaler
Sidste opdatering sendt (Faktiske)
22. juni 2017
Sidste opdatering indsendt, der opfyldte kvalitetskontrolkriterier
19. juni 2017
Sidst verificeret
1. juni 2017
Mere information
Begreber relateret til denne undersøgelse
Yderligere relevante MeSH-vilkår
Andre undersøgelses-id-numre
- IRB 12-048x
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