an exploration of causes and effects of obesity - 3283 Words

An Exploration of the causes and effects of obesity Obesity is excess body fat. It is usually defined by body mass index (BMI) which is individual’s weight (kg) divided by their squares of height (m) (Jebb, 2004; Eagle et al, 2004). At the same time, BMI was classified into four conditions. Firstly, when the BMI less than 18.5 kg/㎠¡is underweight. Secondly, 18.5 kg/㎠¡to less than 25.0 kg/㎠¡ belong to normal weight. Thirdly, overweight is 25.0 kg/㎠¡to less than 30.0 kg/㎠¡. Finally, exceeding 30.0 kg/㎠¡ is totally obese (Eagle et al, 2004). Other papers categorize more detailed in the part of obese, which sections three parts, such as, Grade I obesity (30.0 kg/㎠¡to less than 35.0 kg/㎠¡), Grade II obesity (35.0 kg/㎠¡to less than 40.0 kg/㎠¡) ,†¦show more content†¦Jebb (2004) states that ‘It effects include metabolic syndrome (type 2 diabetes, hypertension and hyperlipidemia), and mechanical disorders (e.g. osteoarthritis, respiratory problems, sleep apnoea) and psychosocial di sorders’ (Jebb, 2004). Other scholar has a similar view that it is a significant problem that obesity is not only one of the endocrine-metabolic conditions but also is a beginning of a series of diseases including type 2 diabetes mellitus, cardiovascular diseases, metabolic syndrome and some types of cancer in public health (Jimà ©nez, 2011). Let us detail that those relationships between obesity and the following diseases. Firstly, there is an extremely close relationship of type 2 diabetes and obesity. Diabetes belongs to metabolic syndrome, which causes the factors of atherosclerotic disease (Jebb, 2004). Further, the development and severity of this kind of disease is depending on weight increase (ibid), thus obesity is an important element factor. For example, women whose BMI is 25 kg/㎠¡ lead to the probability of diabetes is just five-fold, if the BMI is over 35 kg/㎠¡, the probability will increased to more than 40-fold (Jebb, 2004). Furthermore, the probability of diabetes still depends on different body shapes, such as, apple-shaped, pear-shaped, if women have a similar BMI. Jebb found apple-shaped women who have a large waist are higher diabetes risk than pear-shaped women who have excess fat on the thighs and hips (Jebb, 2004). 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