Metabolically Healthy Obesity: Correlations Between BMI and Metabolic Syndrome Biomarkers
maanantai 19. kesäkuuta 2017 päivittänyt: 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.
Tutkimuksen yleiskatsaus
Tila
Valmis
Ehdot
Yksityiskohtainen kuvaus
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.
Opintotyyppi
Havainnollistava
Ilmoittautuminen (Todellinen)
691
Yhteystiedot ja paikat
Tässä osiossa on tutkimuksen suorittajien yhteystiedot ja tiedot siitä, missä tämä tutkimus suoritetaan.
Opiskelupaikat
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New York
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New York, New York, Yhdysvallat, 10025
- Mount Sinai St, Luke's
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Osallistumiskriteerit
Tutkijat etsivät ihmisiä, jotka sopivat tiettyyn kuvaukseen, jota kutsutaan kelpoisuuskriteereiksi. Joitakin esimerkkejä näistä kriteereistä ovat henkilön yleinen terveydentila tai aiemmat hoidot.
Kelpoisuusvaatimukset
Opintokelpoiset iät
25 vuotta - 75 vuotta (Aikuinen, Vanhempi Aikuinen)
Hyväksyy terveitä vapaaehtoisia
Joo
Sukupuolet, jotka voivat opiskella
Kaikki
Näytteenottomenetelmä
Ei-todennäköisyysnäyte
Tutkimusväestö
BMI 35- 69.9 Men and Women over age 25
Kuvaus
Inclusion Criteria:
- BMI in the range of 35 - 69.9
- Men and Women over age 25
Opintosuunnitelma
Tässä osiossa on tietoja tutkimussuunnitelmasta, mukaan lukien kuinka tutkimus on suunniteltu ja mitä tutkimuksella mitataan.
Miten tutkimus on suunniteltu?
Suunnittelun yksityiskohdat
Kohortit ja interventiot
Ryhmä/Kohortti |
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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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Mitä tutkimuksessa mitataan?
Ensisijaiset tulostoimenpiteet
Tulosmittaus |
Toimenpiteen kuvaus |
Aikaikkuna |
|---|---|---|
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The association between BMI from 35 - 69.9 and Total cholesterol
Aikaikkuna: 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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Toissijaiset tulostoimenpiteet
Tulosmittaus |
Toimenpiteen kuvaus |
Aikaikkuna |
|---|---|---|
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The association between BMI from 35 - 69.9 and HDL- cholesterol
Aikaikkuna: 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
Aikaikkuna: 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
Aikaikkuna: 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
Aikaikkuna: 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
Aikaikkuna: 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
Aikaikkuna: 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
Aikaikkuna: 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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Yhteistyökumppanit ja tutkijat
Täältä löydät tähän tutkimukseen osallistuvat ihmiset ja organisaatiot.
Sponsori
Tutkijat
- Päätutkija: Richard Weil, M.Ed, Icahn School of Medicine at Mount Sinai
Opintojen ennätyspäivät
Nämä päivämäärät seuraavat ClinicalTrials.gov-sivustolle lähetettyjen tutkimustietueiden ja yhteenvetojen edistymistä. National Library of Medicine (NLM) tarkistaa tutkimustiedot ja raportoidut tulokset varmistaakseen, että ne täyttävät tietyt laadunvalvontastandardit, ennen kuin ne julkaistaan julkisella verkkosivustolla.
Opi tärkeimmät päivämäärät
Opiskelun aloitus (Todellinen)
Tiistai 4. syyskuuta 2012
Ensisijainen valmistuminen (Todellinen)
Perjantai 30. syyskuuta 2016
Opintojen valmistuminen (Todellinen)
Perjantai 30. syyskuuta 2016
Opintoihin ilmoittautumispäivät
Ensimmäinen lähetetty
Perjantai 9. kesäkuuta 2017
Ensimmäinen toimitettu, joka täytti QC-kriteerit
Maanantai 19. kesäkuuta 2017
Ensimmäinen Lähetetty (Todellinen)
Torstai 22. kesäkuuta 2017
Tutkimustietojen päivitykset
Viimeisin päivitys julkaistu (Todellinen)
Torstai 22. kesäkuuta 2017
Viimeisin lähetetty päivitys, joka täytti QC-kriteerit
Maanantai 19. kesäkuuta 2017
Viimeksi vahvistettu
Torstai 1. kesäkuuta 2017
Lisää tietoa
Tähän tutkimukseen liittyvät termit
Muita asiaankuuluvia MeSH-ehtoja
Muut tutkimustunnusnumerot
- IRB 12-048x
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