Metabolically Healthy Obesity: Correlations Between BMI and Metabolic Syndrome Biomarkers
19 czerwca 2017 zaktualizowane przez: 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.
Przegląd badań
Status
Zakończony
Warunki
Szczegółowy opis
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.
Typ studiów
Obserwacyjny
Zapisy (Rzeczywisty)
691
Kontakty i lokalizacje
Ta sekcja zawiera dane kontaktowe osób prowadzących badanie oraz informacje o tym, gdzie badanie jest przeprowadzane.
Lokalizacje studiów
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New York
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New York, New York, Stany Zjednoczone, 10025
- Mount Sinai St, Luke's
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Kryteria uczestnictwa
Badacze szukają osób, które pasują do określonego opisu, zwanego kryteriami kwalifikacyjnymi. Niektóre przykłady tych kryteriów to ogólny stan zdrowia danej osoby lub wcześniejsze leczenie.
Kryteria kwalifikacji
Wiek uprawniający do nauki
25 lat do 75 lat (Dorosły, Starszy dorosły)
Akceptuje zdrowych ochotników
Tak
Płeć kwalifikująca się do nauki
Wszystko
Metoda próbkowania
Próbka bez prawdopodobieństwa
Badana populacja
BMI 35- 69.9 Men and Women over age 25
Opis
Inclusion Criteria:
- BMI in the range of 35 - 69.9
- Men and Women over age 25
Plan studiów
Ta sekcja zawiera szczegółowe informacje na temat planu badania, w tym sposób zaprojektowania badania i jego pomiary.
Jak projektuje się badanie?
Szczegóły projektu
Kohorty i interwencje
Grupa / Kohorta |
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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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Co mierzy badanie?
Podstawowe miary wyniku
Miara wyniku |
Opis środka |
Ramy czasowe |
|---|---|---|
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The association between BMI from 35 - 69.9 and Total cholesterol
Ramy czasowe: 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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Miary wyników drugorzędnych
Miara wyniku |
Opis środka |
Ramy czasowe |
|---|---|---|
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The association between BMI from 35 - 69.9 and HDL- cholesterol
Ramy czasowe: 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.
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7 years
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The association between BMI from 35 - 69.9 and LDL- cholesterol
Ramy czasowe: 7 years
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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
Ramy czasowe: 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
Ramy czasowe: 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
Ramy czasowe: 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
Ramy czasowe: 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
Ramy czasowe: 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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Współpracownicy i badacze
Tutaj znajdziesz osoby i organizacje zaangażowane w to badanie.
Śledczy
- Główny śledczy: Richard Weil, M.Ed, Icahn School of Medicine at Mount Sinai
Daty zapisu na studia
Daty te śledzą postęp w przesyłaniu rekordów badań i podsumowań wyników do ClinicalTrials.gov. Zapisy badań i zgłoszone wyniki są przeglądane przez National Library of Medicine (NLM), aby upewnić się, że spełniają określone standardy kontroli jakości, zanim zostaną opublikowane na publicznej stronie internetowej.
Główne daty studiów
Rozpoczęcie studiów (Rzeczywisty)
4 września 2012
Zakończenie podstawowe (Rzeczywisty)
30 września 2016
Ukończenie studiów (Rzeczywisty)
30 września 2016
Daty rejestracji na studia
Pierwszy przesłany
9 czerwca 2017
Pierwszy przesłany, który spełnia kryteria kontroli jakości
19 czerwca 2017
Pierwszy wysłany (Rzeczywisty)
22 czerwca 2017
Aktualizacje rekordów badań
Ostatnia wysłana aktualizacja (Rzeczywisty)
22 czerwca 2017
Ostatnia przesłana aktualizacja, która spełniała kryteria kontroli jakości
19 czerwca 2017
Ostatnia weryfikacja
1 czerwca 2017
Więcej informacji
Terminy związane z tym badaniem
Dodatkowe istotne warunki MeSH
Inne numery identyfikacyjne badania
- IRB 12-048x
Informacje o lekach i urządzeniach, dokumenty badawcze
Bada produkt leczniczy regulowany przez amerykańską FDA
Nie
Bada produkt urządzenia regulowany przez amerykańską FDA
Nie
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