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More than twenty-five years ago, WHtR was first suggested as a simple health risk assessment tool because "it is a proxy for harmful central adiposity"; [3] it predicts obesity-related cardiovascular disease. A boundary value of 0.5 was proposed to indicate increased risk.
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]
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 ...
Obesity, on the other hand, is a chronic disease and a risk factor for a range of health conditions. Directly or indirectly, it might require management and attention over the course of a person ...
Obesity and BMI An obese male with a body mass index of 53 kg/m 2: weight 182 kg (400 lb), height 185 cm (6 ft 1 in). Obesity classification is a ranking of obesity, the medical condition in which excess body fat has accumulated to the extent that it has an adverse effect on health. [1]
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]
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 ...
Numerous large studies have demonstrated that eating ultraprocessed food has a positive dose-dependent relationship with both abdominal obesity and general obesity in both men and women. [27] Consuming a diet rich in unprocessed and minimally processed foods is linked with lower obesity risk and less chronic disease.