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Related Concept Videos

Obesity01:24

Obesity

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The Body Mass Index (BMI) is a numerical value derived from a person's weight and height, used to categorize individuals into weight ranges. It is calculated using the formula: weight in kilograms divided by height in meters squared. Obesity is a health condition characterized by excessive accumulation of adipose tissue that poses health risks, often diagnosed with a BMI ≥ 30. This excess fat storage occurs when surplus dietary calories are converted into triglycerides and stored in...
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Drug Dosing: Obese Patients01:21

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In the United States, obesity is a prominent concern. It is linked to heightened mortality rates due to increased occurrences of conditions such as hypertension, atherosclerosis, coronary artery disease, and diabetes compared to nonobese individuals. A patient is classified as obese if their actual body weight surpasses the ideal or desirable body weight by 20%, based on Metropolitan Life Insurance Company data. Ideal body weights consider average weights and heights for males and females...
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Drug metabolism, a critical process in the liver, involves two primary phases: Phase I reactions and Phase II conjugation. Obesity introduces significant alterations in this metabolic process, primarily due to fatty infiltration of the liver, leading to conditions such as nonalcoholic fatty liver disease (NAFLD). This condition can modify the activities of both Phase I and II enzymes, impacting how drugs are metabolized in obese patients.Phase I metabolism sees variable effects across...
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Obesity significantly alters the pharmacokinetic processes of drug absorption and distribution, presenting unique challenges in medical treatment. The increased fat tissue and decreased lean muscle in obese individuals can significantly affect how drugs are absorbed into the body and distributed across different tissues. This alteration can lead to variances in the effectiveness and safety of medications, necessitating adjustments in dosing or drug selection for obese patients.One notable...
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Models of Health Promotion and Illness Prevention II01:18

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The person's health status fluctuates continually, varying from being in good health to becoming ill and returning to being healthy. To understand the concept of illness prevention, there are two models. First, the health-illness continuum model is a graphic representation of an individual's wellness. It states that a person is considered healthy in the absence of physical disease and the presence of good emotional health.
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Multidisciplinary Approach to Obesity Management: A Case Report
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Obese Employee Participation Patterns in a Wellness Program.

Jennifer T Fink1,2,3, David R Smith1, Maharaj Singh1

  • 11 Aurora Health Care, Inc. , Milwaukee, Wisconsin.

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|June 19, 2015
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Summary
This summary is machine-generated.

Employee wellness program participation and weight management choices varied by demographics. Females, white employees, those over 50, and non-nursing staff showed higher engagement. Self-directed weight loss was most popular.

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Area of Science:

  • Occupational Health
  • Public Health
  • Health Services Research

Background:

  • Employee wellness programs are crucial for promoting health within organizations.
  • Understanding demographic influences on participation is key to optimizing program reach.
  • Weight management is a common focus of workplace health initiatives.

Purpose of the Study:

  • To identify demographic differences between participants and non-participants in an employee wellness program.
  • To determine employee choices in weight management activities.
  • To analyze factors influencing participation in workplace weight management interventions.

Main Methods:

  • Retrospective, nonequivalent 2-group design.
  • Analysis of data from 19,771 employees at a large health system.
  • Chi-square tests and odds ratios to assess demographic predictors of participation.

Main Results:

  • Obesity prevalence was 32% (6375/19771) among weighed employees.
  • 49% (3094/6375) of obese employees participated in weight management activities.
  • Participation was significantly higher among females, white employees, those >50 years, and non-nursing staff.

Conclusions:

  • Demographic factors significantly influence employee wellness program participation.
  • Self-directed 5% total body weight loss was the most frequently chosen weight management activity.
  • Tailoring wellness programs to diverse employee demographics can improve engagement and outcomes.