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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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Factors Affecting High Body Weight Variability.

Kyungdo Han1, Mee Kyoung Kim2

  • 1Department of Statistics and Actuarial Science, Soongsil University, Seoul, Korea.

Journal of Obesity & Metabolic Syndrome
|May 16, 2023
PubMed
Summary
This summary is machine-generated.

High body weight variability (BWV) is linked to younger age, female sex, lower income, and unhealthy behaviors. These factors are independently associated with significant BWV in adults.

Keywords:
Biological variationBody weight changesBody-weight trajectoryindividual

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Area of Science:

  • Public Health
  • Epidemiology
  • Metabolic Health

Background:

  • High body weight variability (BWV) is a known risk factor for metabolic and cardiovascular diseases in adults.
  • Understanding baseline characteristics associated with BWV is crucial for targeted interventions.

Purpose of the Study:

  • To investigate the demographic and clinical factors associated with high body weight variability (BWV).
  • To identify specific population subgroups at higher risk for significant BWV.

Main Methods:

  • Analysis of a nationally representative database from the Korean National Health Insurance system (2009-2013).
  • Inclusion of 77,424 individuals with five health examinations.
  • BWV calculated as the coefficient of variation in body weight; high BWV defined as the highest quartile.

Main Results:

  • High BWV was significantly associated with younger age (under 40), female sex, lower income, and current smoking.
  • Younger individuals (<40 years) were over twice as likely to have high BWV compared to older adults (>65 years).
  • Females exhibited higher BWV incidence (OR 1.67) and associations with heavy alcohol intake and smoking.

Conclusions:

  • Younger age, female sex, lower socioeconomic status, and unhealthy lifestyle behaviors (smoking, alcohol consumption) are independent predictors of high BWV.
  • Further research is warranted to elucidate the mechanisms connecting high BWV to adverse health outcomes.