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The aim of the study was to determine the association between WWI and myocardial infarction.MethodsThe study analyzed cross-sectional data from 31,535 participants derived from the 1999–2014 National Health and Nutrition Examination Survey (NHANES) dataset. When WWI exceeded 10.97 cm/√kg, A threshold WWI value of greater than 11.15 cm/√kg
Excess weight, as measured by BMI, is typically considered a measure of excess body fat. When someone is classified as being of ‘normal’ weight, that typically means they have a BMI of less than 25. The relationship between excess weight, a high BMI and the risk of severe insulin resistance and diabetes is clear 4.
Studies of the association between obesity and ambulatory blood pressure (BP) are scarce and most use only body mass index (BMI) as indicator of adiposity. Indicators for total adiposity were BMI and body fat (BF) and, for central adiposity, waist circumference (WC) and waist-to-height ratio (WHR).
as BMI increased by category, and it prevailed more frequently among women and older people regardless of their BMI status. kg/m2), normal weight (18.524 kg/m2), overweight (2428 kg/m2), and obese (>28 kg/m2). The incidence of SMuRFlessness declined from 16.2%
It became the first approved drug for chronic weight management in adults with obesity since 2014. Food and Drug Administration (FDA) in 2021 as a once-weekly injection for chronic weight management in adults with obesity and at least one weight-related condition such as type 2 diabetes or hypertension.
I quickly reviewed the patient’s records and saw that she was a 53 year old woman with a history of BMI 40, but no other identifiable risk factors for coronary artery disease. Written by Willy Frick The OMI paradigm has taught me that any diagnosis of NSTEMI is cause for immediate evaluation. "A Buller, C. Starovoytov, A., Robinson, S.,
2, 3] This association is more pronounced for those with class I obesity, which is a body mass index (BMI) between 30-35 kg/m2. These individuals tend to have a better prognosis when compared to both individuals with normal weight (BMI of 18.5 to 25 kg/m2) and underweight (BMI less than 18.5
Model covariates included sex, age, marital status, household size, household income, education, race/ethnicity, insurance, body mass index (BMI), and an indicator of the condition of interest. To assess the potential financial toxicity of these conditions, we used separate stratified, longitudinal mixed regression models for each condition.
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