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Related Concept Videos

Obesity01:24

Obesity

1.5K
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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Pharmacokinetics in Obese Patients: Drug Absorption and Distribution01:25

Pharmacokinetics in Obese Patients: Drug Absorption and Distribution

351
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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Drug Dosing: Obese Patients01:21

Drug Dosing: Obese Patients

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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...
332
Stress Prevention and Stress Management Techniques IV01:26

Stress Prevention and Stress Management Techniques IV

308
Stress often leads to unhealthy habits like smoking, excessive drinking, and overeating, which offer short-term relief but ultimately increase long-term health risks. These behaviors create a cycle that temporarily lowers stress levels but can result in severe long-term health consequences. Breaking these habits is essential to reduce the risk of chronic diseases and improve overall well-being. Three primary changes that support better health include quitting smoking, reducing alcohol intake,...
308
Pharmacokinetics in Obese Patients: Drug Metabolism and Excretion01:20

Pharmacokinetics in Obese Patients: Drug Metabolism and Excretion

267
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...
267
Lifestyle Factors and Health01:20

Lifestyle Factors and Health

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Lifestyle factors play a critical role in maintaining overall health and preventing chronic diseases. Key elements, such as regular physical activity, a nutritious diet, and abstinence from smoking, can significantly enhance physical, mental, and emotional well-being while reducing the risk of several life-threatening conditions.
Benefits of Physical Activity
Physical activity, whether through structured exercise or casual activities like walking, biking, or dancing, is a cornerstone of a...
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Related Experiment Video

Updated: Mar 18, 2026

Determining Gender-Based Differences in Retinal and Choroidal Thickness in Underweight Individuals via Swept-Source Optical Coherence Tomography
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Determining Gender-Based Differences in Retinal and Choroidal Thickness in Underweight Individuals via Swept-Source Optical Coherence Tomography

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Health Risk Associated with Obesity in North Indian Rural Population: Population Based Survey.

Ravi Kant1, Gaurav Karna1, Mahendra Singh2

  • 1Department of General Medicine, All India Institute of Medical Sciences (AIIMS), Rishikesh, Uttarakhand, India.

Indian Journal of Community Medicine : Official Publication of Indian Association of Preventive & Social Medicine
|March 16, 2026
PubMed
Summary

Obesity increases non-communicable disease risk. Waist circumference (WC) is a better predictor of obesity-related health risks than body mass index (BMI) in a rural North-Indian population.

Keywords:
Body mass indexcentral obesitygeneralized obesity health riskwaist circumference

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Last Updated: Mar 18, 2026

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Area of Science:

  • Public Health
  • Epidemiology
  • Anthropometry

Background:

  • Obesity is a significant risk factor for non-communicable diseases (NCDs) such as cardiovascular disease and diabetes.
  • Indices like weight circumference (WC) and weight-height-ratio (WHtR) are used to assess obesity-related disease risks.
  • Understanding obesity distribution and the efficacy of predictive indices in rural populations is crucial for targeted interventions.

Purpose of the Study:

  • To investigate the prevalence and distribution of obesity in a rural North-Indian population.
  • To evaluate the efficiency of waist circumference (WC) and body mass index (BMI) in predicting obesity-related health risks.

Main Methods:

  • A cross-sectional study was conducted in two rural blocks of Dehradun district, Uttarakhand, involving 456 participants.
  • Data collected included demographic information, weight, height, blood pressure, and WC. Blood samples were analyzed for blood sugar and lipid profiles.
  • Statistical analyses, including chi-square tests, t-tests, and regression analysis, were employed to assess health risk prediction tools.

Main Results:

  • 31.8% of participants were classified as obese, with an average BMI of 30.32 kg/m² and WC of 83.22 cm.
  • Obesity was significantly associated with increased risks of dyslipidemia, hypertension, and diabetes (P < 0.005).
  • Waist circumference (WC) demonstrated superior predictive capability for health risks (AUC = 0.973) compared to BMI (AUC = 0.767).

Conclusions:

  • Obesity significantly elevates health risks, regardless of the specific obesity classification.
  • Waist circumference (WC) serves as a more effective proxy indicator for predicting obesity-related health risks than BMI in this population.