Obesity is an individual clinical condition. However, research shows that it is becoming a serious problem for public health, increasing day by day. The condition is predisposed to cardiovascular disease, type 2 diabetes and osteoarthritis. Obesity is measured in absolute terms by measuring BMI. BMI stands for body mass index. Caculating with body mass index, obesity is evaluated in terms of distribution by waist circumference.
Moreover, the presence must be checked in the context of other medical conditions that may affect the risk of complications. BMI or Body Mass Index, which is very important for the assessment of obesity, is a widely used method to estimate body fat. BMI is calculated by dividing weight by the square of the patient and to express the answer in metric or customary. The World Health Organization has specified a BMI below 18.5 as underweight and a BMI of 18.5 to 24.9 as normal.
Its specific guidelines for the medical community as a BMI of 25.0 to 29.9 by weight and a 30.0 to 39.9 as obese. Doctors believe that the mass race, ethnicity and lean body or muscle, while monitoring of obesity. person's age and sex are also factors that influence the interpretation of BMI. mild obesity, not a cardiac risk factor and, therefore, in this case, the IMC can not be used as an epidemiological single most important predictor of cardiovascular health.
It is important to note that BMI does not take into account the different proportions of fat lean. Furthermore, no distinction between different forms of fat. The absolute waist circumference or waist-hip ratio is used to measure central obesity. The research shows that waist circumference, said the health risk associated with obesity better than BMI. Obesity can also be determined taking into account the percentage of body fat.
Men with more than 25% body fat and women with more than 30% are defined obese. The most accepted method to accurately measure body fat so far has been to evaluate a person under water with special equipment. The other two methods are simple test times and bioelectrical impedance analysis. However, its routine use is not recommended. Risk factors and diseases that are commonly associated with obesity are also used to establish a clinical diagnosis of the disease.
In fact, sleep apnea and heart disease are risk factors that indicate the clinical treatment of severe obesity. Mortality is higher in obesity. In fact, a BMI over 32 is associated with a doubled risk of death! This type of body mass index alters the body's response to insulin and increases the tendency to a prothrombotic state. MMAL-type, or obese, the characteristic features of the waist high waist-hip ratio is a major risk factor for clustering of a number of diseases and risk factors related to cardiovascular diseases. Most research shows that the combination of excess nutrients and a sedentary lifestyle is the main cause of obesity in Western society.
Despite widespread recognition, it is evident that overeating remains a problem. A lifestyle increasingly sedentary, it also plays a role in the development of obesity and a well-established lifestyle and possibly underinvestigated. These are characterized by lack of sleep, food intake of substances that interfere with lipid metabolism, reduction in smoking rates invariably suppresses appetite, increased drug use and pregnancy in later life . Caloric imbalance resulting in obesity is determined to be the result of a number of important genetic and environmental factors. Several polymorphisms in genes that regulate appetite and metabolism. Several genetic conditions that feature obesity have been identified.
At the population level, there are some ethnic groups are more prone to obesity than others. Individuals with greater adipose reserves were more likely to survive famine. Mental disorders also increase the risk of obesity, such as eating disorders. The role of bacteria in the digestive tract in the development of obesity is also under investigation.
The bacteria involved in digestion and, consequently, changes in the proportion of particular strains could explain the cause. When income differences are, we see that thin people inherit more wealth. A higher rate of a lower level of education also plays an important role. It also noted that married women in higher status are expected thinner than married women in the lower strata.
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