WEEK7mediahealth.docx

NURSING

Task On Social Media In Population Health
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Selected practice problem

In this paper, I will be addressing obesity as my selected practice problem. Obesity can be understood as an excessive or abnormal fat accumulation in an individual’s body capable of impairing his health. In adults, classification of obesity is commonly done using the body mass the index which is a thorough weight-for-height index. Obesity is fundamentally caused as a result of an imbalance in energy between calories expended and calories consumed. Globally, the recorded causes include intake of rich in sugars and fats energy-dense food as well as high physical inactivity. Obesity contains health consequences of non-communicable diseases brought about due to an increase in body mass indexes such as cardiovascular illnesses mostly stroke and heart diseases which are the leading (Sekhobo, 2017).

Evidence based intervention

One major evidence based intervention that adequately covers obesity is engaging in physical activity. In terms of behavioral intervention towards weight management, physical activity can be considered as a mainstay. Evidence suggesting that physical activity alongside dietary energy restriction to bring about an optimal outcome continues to grow in the weight-loss setting. A significant loss of weight requires a relatively large dose of exercise. Caloric restriction of 26,27 Second is also more effective for an increased weight loss rather than exercise alone. Thus, a combination of regular exercise with sufficient energy restriction assists in countering the effects associated with the use of caloric restriction alone as well as reduced resting metabolic rate and loss of lean tissue. Even without significant weight loss, exercise improves metabolic fitness (EA, 2018).

Informational population health “tweet”

According to a layman, obesity simply means a person who is extremely fat as a result of eating a lot without exercising and so on. Obesity can be well-defined as a particular health condition where someone accumulates too much body fat leading to adverse health effects. How do you determine if you are obese? If a person weighs 20% more than the normal range, then the individual is said to be ‘obese’. In addition, while checking the body mass index, if your body mass index ranges within 25 and 9.9 then you are overweight, while when your body mass index is 30 or goes above the mark, then you fall under the category of obese. Body mass index is simply a measurement scientifically derived by examining one’s height and weight. Further, the body mass index can be misleading to a certain point as it does not let on the percentage of fat.
While on many accounts an individual can argue of being obese or overweight, the harsh truth stands that obesity is a significant health risk and it has increasing become a major concern globally. The worst part about obesity is that it also affects children leading to obesity in adulthood making them prone to other health complications as well. Research has indicated that obesity leads to mental and emotional repercussions as well. This is because it leads to an individual loosing self-confidence and always perceiving themselves as not good enough. Good diet and quality food choices coupled up with physical exercise can help prevent obesity. It thus requires an approach that is multifaceted such as undertaking crucial changes in a person’s lifestyle including activities and food habits.

Measurable outcome to the tweet

One measurable outcome of the tweet is that the desired audience which is the population at risk as well as every concerned individual coming across the tweet shall be aware that exercising and dieting are substantial preventive measures. The tweet also shall suggest that future intervention policies should pay special attention to inactivity, physical inactivity as well as dietary concerns. Another measurable outcome is that individuals after reading the tweet shall understand that obesity is largely preventable especially through a change in lifestyle (Economos & Hammond, 2017).

References

Sekhobo, J. (2017). Estimation of WIC effects in multilevel, cross-sector obesity prevention interventions. Obesity, 25(7), 1157-1158. https://doi.org/10.1002/oby.21891

EA, E. (2018). Chronic Disease Prevention Particularly Focus on Obesity. Advances In Clinical Toxicology, 3(2). https://doi.org/10.23880/act-16000134

Economos, C., & Hammond, R. (2017). Designing effective and sustainable multifaceted interventions for obesity prevention and healthy communities. Obesity, 25(7), 1155-1156. https://doi.org/10.1002/oby.21893