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Metabolically Healthy Obesity: Correlations Between BMI and Metabolic Syndrome Biomarkers

19 июня 2017 г. обновлено: 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.

Обзор исследования

Статус

Завершенный

Условия

Подробное описание

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.

Тип исследования

Наблюдательный

Регистрация (Действительный)

691

Контакты и местонахождение

В этом разделе приведены контактные данные лиц, проводящих исследование, и информация о том, где проводится это исследование.

Места учебы

Критерии участия

Исследователи ищут людей, которые соответствуют определенному описанию, называемому критериям приемлемости. Некоторыми примерами этих критериев являются общее состояние здоровья человека или предшествующее лечение.

Критерии приемлемости

Возраст, подходящий для обучения

От 25 лет до 75 лет (Взрослый, Пожилой взрослый)

Принимает здоровых добровольцев

Да

Полы, имеющие право на обучение

Все

Метод выборки

Невероятностная выборка

Исследуемая популяция

BMI 35- 69.9 Men and Women over age 25

Описание

Inclusion Criteria:

  • BMI in the range of 35 - 69.9
  • Men and Women over age 25

Учебный план

В этом разделе представлена ​​подробная информация о плане исследования, в том числе о том, как планируется исследование и что оно измеряет.

Как устроено исследование?

Детали дизайна

Когорты и вмешательства

Группа / когорта
Patients with Class II and III Obesity
Patients enrolled in an outpatient weight loss program from 2010-2016.

Что измеряет исследование?

Первичные показатели результатов

Мера результата
Мера Описание
Временное ограничение
The association between BMI from 35 - 69.9 and Total cholesterol
Временное ограничение: 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

Вторичные показатели результатов

Мера результата
Мера Описание
Временное ограничение
The association between BMI from 35 - 69.9 and HDL- cholesterol
Временное ограничение: 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
Временное ограничение: 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
Временное ограничение: 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
Временное ограничение: 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
Временное ограничение: 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
Временное ограничение: 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
Временное ограничение: 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

Соавторы и исследователи

Здесь вы найдете людей и организации, участвующие в этом исследовании.

Следователи

  • Главный следователь: Richard Weil, M.Ed, Icahn School of Medicine at Mount Sinai

Даты записи исследования

Эти даты отслеживают ход отправки отчетов об исследованиях и сводных результатов на сайт ClinicalTrials.gov. Записи исследований и сообщаемые результаты проверяются Национальной медицинской библиотекой (NLM), чтобы убедиться, что они соответствуют определенным стандартам контроля качества, прежде чем публиковать их на общедоступном веб-сайте.

Изучение основных дат

Начало исследования (Действительный)

4 сентября 2012 г.

Первичное завершение (Действительный)

30 сентября 2016 г.

Завершение исследования (Действительный)

30 сентября 2016 г.

Даты регистрации исследования

Первый отправленный

9 июня 2017 г.

Впервые представлено, что соответствует критериям контроля качества

19 июня 2017 г.

Первый опубликованный (Действительный)

22 июня 2017 г.

Обновления учебных записей

Последнее опубликованное обновление (Действительный)

22 июня 2017 г.

Последнее отправленное обновление, отвечающее критериям контроля качества

19 июня 2017 г.

Последняя проверка

1 июня 2017 г.

Дополнительная информация

Термины, связанные с этим исследованием

Информация о лекарствах и устройствах, исследовательские документы

Изучает лекарственный продукт, регулируемый FDA США.

Нет

Изучает продукт устройства, регулируемый Управлением по санитарному надзору за качеством пищевых продуктов и медикаментов США.

Нет

Эта информация была получена непосредственно с веб-сайта clinicaltrials.gov без каких-либо изменений. Если у вас есть запросы на изменение, удаление или обновление сведений об исследовании, обращайтесь по адресу register@clinicaltrials.gov. Как только изменение будет реализовано на clinicaltrials.gov, оно будет автоматически обновлено и на нашем веб-сайте. .

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