Obesity
Conditions
Keywords
BMI, Obesity
Brief 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. 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.
Interventions
None listed
Sponsors
St. Luke's-Roosevelt Hospital Center
Study design
Observational model
COHORT
Time perspective
RETROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
25 Years to 75 Years
Healthy volunteers
Yes
Inclusion criteria
* BMI in the range of 35 - 69.9 * Men and Women over age 25
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| The association between BMI from 35 - 69.9 and Total cholesterol | 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. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| The association between BMI from 35 - 69.9 and LDL- cholesterol | 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. |
| The association between BMI from 35 - 69.9 and Triglycerides | 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. |
| The association between BMI from 35 - 69.9 and Systolic Blood Pressure | 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. |
| The association between BMI from 35 - 69.9 and HDL- cholesterol | 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. |
| The association between BMI from 35 - 69.9 and Fasting blood glucose | 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. |
| The association between BMI from 35 - 69.9 and Hemoglobin A1C | 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. |
| The association between BMI from 35 - 69.9 and Diastolic Blood Pressure | 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. |
Countries
United States
Outcome results
None listed