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Obesity isn't just about Diet - Essay Example

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There are numerous theories that scholars have found which assert that obesity is not a diet-caused condition. This paper “Obesity isn't just about Diet” will discuss this argument giving theories that will confirm this statement as true…
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Obesity isnt just about Diet
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Obesity Obesity Cars, television, computers, elevators, remote controls, escalators, leaf-blowers, e-mail, golf carts, automatic windows, automatic doors and automatic toilet-flushers among many other numerous factors all add up to today’s changes in lifestyle (McClellan, 2003). Bit by bit, people are turning into a world of couch potatoes and are paying the price for these changes (McClellan, 2003). Inactive individuals have a much higher jeopardy of diabetes, heart disease, obesity, colon cancer, as well as osteoporosis. Getting off the sofa does not only ward off life-threatening diseases, but it might also help someone function as if they are 20 years younger than their actual age, cut their possibilities of ending up in a nursing residence, ward off colds, help them sleep better, and enhance their outlook on life. The need of proof of an increase in energy or food intake among humans in spite of a rise in the occurrence of overweight proposes that physical idleness is a key public health issue among numerous age groups. This finding proposes that routine activity plays a significant role in mass gain, with no similar proof that energy or food intake had a familiar task. The merged discoveries by NGHS so far show that the radical decline in routine activity, in adolescence, may be a key element in the doubling of the occurrence of obesity development in major nations of the globe such as the U.K. and the U.S. in the past 20 years since no associated raise in energy/food intake was apparent (McClellan, 2003). There are numerous theories that scholars have found which assert that obesity is not a diet-caused condition. This paper will discuss this argument giving theories that will confirm this statement as true. The obesity outbreak is persuaded, in many scholars’ view, more by reduces in normal daily energy usage than by raises in normal daily energy intake (McClellan, 2003; Berreby, 2008; Field, Barnoya, & Colditz, 2002; Norling et al., 2010 and Richards, 2009). Sadly enough, it is not easy to find data on normal daily energy usage or on any transformations in this variable, and also the information available on standard daily energy intake are doubtful (Bovbjerg, 2008; Jeffords, 2011; Jequier, 2002 and Kaestner, 2009). Hence, the essential cause of the boosts in obesity occurrence seen over the past couple of decades cannot easily be determined. Of the seven physical and dietary activity variables assessed in McClellan’s (2003) cross-sectional survey, inadequate dynamic physical activity was the solitary risk factor for greater body mass index (BMI) for adolescents. Fascinatingly, in this cluster of adolescents, higher kilojoules (enhanced energy/food intake) were linked with decreased overweight. Initially, this finding seems conflicting, but taking the raising levels of dynamic activity among adolescents into consideration, it is possible that they use greater volumes of energy, establishing a favourable energy balance. In contrast to these theories, increase eating of high-fat foods, exercise and binge eating, did not forecast obesity inception. A decrease in energy usage should be the main determinant of the recent outbreak of obesity. This study, however, also discovered that individuals who exercise most frequently had a 57% lower likelihood of being obese. Inactivity is a key root of obesity among obese individuals (McClellan, 2003). In reality, inactivity may be a far more important factor in the increase of obesity compared to overeating. It is often understood that the rise in pediatric obesity has transpired due to an increase in caloric eating. Nevertheless, according to findings by Poti, Duffey & Popkin (2013) do not substantiate the above statement. In reality, several scholars, Berreby (2008); Field, Barnoya, & Colditz (2002); Norling et al. (2010) and Richards (2009), account that the calorie eating of obese individuals is not higher and might be less compared to the intake of non-obese individuals. Body fat, body weight, as well as lean body mass index, were also not connected to caloric intake in these studies of obese men. Two of those sources, Norling et al. (2010) and Richards (2009), concluded that the insignificant connections between obesity measures, as well as total caloric ingestion, propose that differences in the intensity of obesity among these inactive overweight people cannot be openly linked to caloric eating and might echo sedentary lifestyle. There has been no connection between either fat consumption or total energy intake and the occurrence of clinical obesity over the past six decades even as proxy measures of physical idleness (TV viewing or car ownership) are directly related (Young & Nestle, 2002; Sullivan, P. Vahram & Rami, 2008 and Richards, 2009). Evidence argues that contemporary inactive lifestyles are at least as vital as diet in the origin (aetiology) of obesity and perhaps represents the main factor. A majority of people who are obese account for both least physical activity and the least caloric intake. Findings from the McClellan (2003) study reveal that adiposity was not connected to either relative or absolute energy eating for males and merely to absolute energy eating for females; this connection vanished when eating was articulated proportionate to lean body mass or body weight. Poti, Duffey & Popkin (2013) likewise found no connection between body fat and energy/food intake in adult men. Surveys from Germany, as well as the NHNES – a national body form surveying health and nutrition, which uses large databases, point out that overweight and normal-weight persons eat about the equivalent number of joules (Jeffords, 2011 and Jequier, 2002). From 1980 to 2000, obesity went up 10%, physical activity went down 13% and caloric intake when up just 1% among U.S. adolescents (Field, Barnoya & Colditz, 2002). About 40% of the current growth in weight appears to be because of agricultural innovations, which have lessened food prices, while 60% might be because of demand factors like decreasing physical activity from technological transformations in the market and home production (Field, Barnoya & Colditz, 2002). This worldly growth in body mass index has been accompanied by meek gains in calorie usage. For sure, the instant postwar period saw significant growth in weight and decrease, in consumption of calories. Poti, Duffey & Popkin (2013) argue that, after a decade of working, people in the least sedentary jobs have roughly 3.5 units of BMI less compared to people in the most sedentary jobs. Proof on changes in energy usage, for instance walking, exercise and physical labour, is less available compared to proof of energy/food intake, but there is proof that proposes that is a substantial drop in people’s energy usage (Kaestner, 2009). The percentage of individuals labouring in physically demanding jobs remained stable from 1950 to 1970 but dropped significantly from the 70’s to the year 2000 (Field, Barnoya & Colditz, 2002). Likewise, more people started driving and less went on with walking. In the 60’s, 67% of people travelled to work by car, but, in 2000, over 88% of Americans used vehicles to go to work. Much of this transformation came from the change in where individuals lived. As urbanisation gradually increased, car travel also enhanced. Also, there has been a significant transformation in recreational activities (Kaestner, 2009). TV viewing has gone up by roughly half an hour a day every decade since 1950. Whereas drops in energy usage alone cannot elucidate increasing obesity, when it is joined with rising calorie usage, the effects could be significant as proofed by the rising rates of obesity (Field, Barnoya & Colditz, 2002). Technological transformation is the most arguable cause of the transformations in energy usage. Technological innovation has made travel, work and leisure activity less tiring. Most significant, technological innovation has enhanced productivity in agricultural and manufacturing and considerably decreased the number of physically demanding jobs in the financial system (Kaestner, 2009). Also, technology has enhanced the value and decreased the price of sedentary leisure activities such as playing video games and watching television (Field, Barnoya & Colditz, 2002). Technology has enhanced the range, and complexity of such leisure events and also enhancements in production have led to a thorough drop in the cost of TV sets, computers, as well as products used with these activities such as cable programming and software (Field, Barnoya & Colditz, 2002). In comparison, technological innovation might lower the cost of items such as a tennis racquet, but the alteration in the price of taking part in tennis maybe gone up in due course compared to the price of television viewing since the time costs are similar in both activities, but the price of complementary goods have gone down more for television as compared to prices of tennis’ complements (Field, Barnoya & Colditz, 2002). In conclusion, the prices of time-intensive events such as exercise have gone up due to increasing wages, as well as enhanced participation of females in the labour force. Hence, moderately time-intensive leisure events have dropped. The interstate highway structure together with an increase in income has made urban living less expensive and more desired due to lower travel costs and need for bigger homes on much cheaper land, respectively. This has also caused people to settle in areas that need more travel, which leaves less time for exercise (Kaestner, 2009). A contemporary survey accounted that toughly 12% of the rise in obesity between the 70’s and 2000 can be clarified by suburbanisation (Field, Barnoya & Colditz, 2002). In general, physical activity levels are fairly low and, whereas hard to gauge, exercise has probably dropped owing to transformations in the nature of travel, work, as well as leisure time activities. As of now, over 25% of the United States population is entirely sedentary and over 60% of the population does not exercise enough in order to meet the recommended levels. Therefore, in order to curb the increase of this condition, every party should play their part from the obese individuals to their seniors and also the government. If humans are educated on the importance of exercise and not to be lazy, they it might be an important starting point of curbing this condition. References Berreby, D. (2008). As the American people got fatter, so did marmosets, vervet monkeys and mice. The problem may be bigger than any of us. Retrieved from http://aeon.co/magazine/being-human/david-berreby-obesity-era/ Bovbjerg, V. E. (2008). The epidemiology of obesity: Causal roots–roots of cause. Sunderland: Sinauer Associates, Inc. Field, A. E., Barnoya, J., & Colditz, G. A. (2002). Epidemiology and Health and Economic Consequences of Obesity, in Handbook of Obesity Treatment, edited by Thomas A. Wadden and Albert J. Stunkard, 3-18. New York: The Guilford Press. Jeffords, J. M. (2011). The causes of obesity. Burlington, VT: The University of Vermont. Jequier, E. (2002). Pathways to obesity. International Journal of Obesity, 26(3), 15-29. Kaestner, R. (2009). Obesity: causes, consequences and public policy solutions. Retrieved from http://igpa.uillinois.edu/system/files/IR09/text/ch8-obesity.pdf McClellan, M. (2003). A nation of couch potatoes. Retrieved from http://www.obesitymyths.com/myth5.1.htm Norling, J. C., et al. (2010). The benefit of recreational physical activity to restore attentional fatigue: The effects of running intensity level on attention scores. Journal of Leisure Research, 42(4), 135-152. Poti, J. M., Duffey, K. J., & Popkin, B. M. (2013). The association of fast food consumption with poor dietary outcomes and obesity among children: Is it the fast food or the remainder of the diet? American Journal of Clinical Nutrition, 99(1), 162-178. Richards, S. (2009). The building blocks of a healthy diet. Practice Nurse, 38(3), 12-17. Sullivan, P. W., Vahram, G., & Rami, H. (2008). The effect of obesity and cardiometabolic risk factors on expenditures and productivity in the United States. Obesity, 16, 2155–2162. Young, L. R., & Nestle, M. (2002). The contribution of expanding portion sizes to the US obesity epidemic. American Journal of Public Health, 92(9), 246-249. Read More
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