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Death rate from obesity, 2019. Obesity is a risk factor for many chronic physical and mental illnesses.. The health effects of being overweight but not obese are controversial, with some studies showing that the mortality rate for individuals who are classified as overweight (BMI 25.0 to 29.9) may actually be lower than for those with an ideal weight (BMI 18.5 to 24.9). [1]
As the conventional index associated with obesity research, the BMI has numerous drawbacks, as it is unable to distinguish between muscle and fat, is inaccurate in predicting body fat percentage, and has poor ability to predict the risk of heart attack, stroke or death. [1] [5]
The Global Burden of Disease Study (GBD) is a comprehensive regional and global research program of disease burden that assesses mortality and disability from major diseases, injuries, and risk factors. GBD is a collaboration of over 12,000 researchers from more than 160 countries. [1]
Specific to public health policy, a determinant is a health risk that is general, abstract, related to inequalities, and difficult for an individual to control. [2] [3] [4] For example, poverty is known to be a determinant of an individual's standard of health. Risk factors may be used to identify high-risk people.
The inclusion of WC is believed to make the BSI a better indicator of risk of mortality from excess weight than the standard body mass index. [ 2 ] [ 3 ] ABSI correlates only slightly with height, weight and BMI, indicating that it is independent of other anthropometric variables in predicting mortality.
Obesity has been observed throughout human history. Many early depictions of the human form in art and sculpture appear obese. [2] However, it was not until the 20th century that obesity became common — so much so that, in 1997, the World Health Organization (WHO) formally recognized obesity as a global epidemic [3] and estimated that the worldwide prevalence of obesity has nearly tripled ...
Health indicators are quantifiable characteristics of a population which researchers use as supporting evidence for describing the health of a population.Typically, researchers will use a survey methodology to gather information about a population sample, use statistics in an attempt to generalize the information collected to the entire population, and then use the statistical analysis to make ...
The BAI is calculated as: [2] Hip circumference (Pearson correlation coefficient, R = 0.602) and height (R = −0.524) are strongly correlated with percentage of body fat.. Comparing BAI with "gold standard" dual-energy X-ray absorptiometry (DXA) results, the correlation between DXA-derived percentage of adiposity and the BAI in a target population was R = 0.85, with a concordance of C_b = 0