In most cases, foods that protect one from stroke, heart disease, and other chronic conditions also help with weight control. The testable hypothesis is consuming large quantities of saturated fats, honey, refined carbohydrates, and agave nectar is associated with great weight gain in the American population. According to Kabir (2016), people develop hypotheses from specialization in an education field, analysis of a study area, instructional programs, and extension of an investigation. I developed the above hypothesis through a google search on how current behavioral consumption is influencing weight gain and contraction of chronic disease. My interest in the field is personal, and a wish to find a solution to the increased cases of obesity and deaths resulting from chronic heart conditions. Consuming large quantities of saturated fats, honey, refined carbohydrates, and agave nectar is associated with great weight gain in the American population. Much research evidence confirms that lifestyle behaviors greatly affect one’s health. The study by Fuhrman (2018) confirms that excessive caloric intake tends to shorten an individual's lifespan, while moderate consumption protects one's brain and body. Currently, most Americans consume a large number of calories than any other population, in which their meals lack any nutritional value to their bodies. For example, an individual consuming 50 excess calories every day is likely to gain about 50 pounds of extra body weight after ten years (Fuhrman, 2018). Therefore, excess weight raises one's risk of getting cancers and chronic illnesses. In most cases, refined carbohydrates, saturated fats, and honey are foods eaten for recreational purposes. According to Fuhrman (2018), a good diet should contain peas, beans, green vegetables, nuts, seeds, colorful vegetables, mushrooms, and root vegetables. However, meals containing such ingredients are unavailable in fast-food outlets, which are available in different parts of America (Janssen et al., 2017). Additionally, most Americans consume desserts, which contain a lot of sugar. Nonetheless, lifestyle changes account for the increased consumption of high-calorie foods, which results in great weight gain among Americans. Out-of-home food consumption in urban centers is responsible for poor dietary habits that result in great weight gain and high cases of non-communicable diseases. In the original hypothesis, consuming large quantities of saturated fats, honey, refined carbohydrates, and agave nectar is associated with great weight gain in the American population, which makes testable predictions. Two groups can be developed whereby one feeds on vegetables and whole grains and the other consumes refined carbohydrates, saturated fats, and agave nectar (Schick & Vaughn, 1995). After three months, the participants' body masses are measured to assess the effects of their foods thus, the original hypothesis passes the testability criteria.
The alternative hypothesis also is testable, as in two groups, in which one consumes at home and the other in restaurants, body masses can be measured to assess their weight gain after three months. Therefore, both hypotheses are testable. The first hypothesis creates a new understanding of how eating a large number of sugar leads to great weight gain that leads to obesity and is also associated with various chronic conditions such as diabetes and heart failure. However, the alternative hypothesis is vague, as it is not specific on the meals consumed outside the house that results in weight gain. The alternative hypothesis is limited to the aspect of increased weight gain in rural areas as it is only applicable in urban restaurants. However, the original hypothesis is applicable in all areas as consumption of a large number of calories in both urban and rural areas leads to great weight gain, which is associated with heart conditions and cancer. It is simpler to assume that consuming honey, saturated fats, and refined carbohydrates leads to great weight gain for all people, unlike the alternative hypothesis, which raises questions on the types of meals consumed when out of the home in the urban centers. The first hypothesis fits well with the established beliefs and science on how increased sugar consumption leads to non-communicable diseases such as diabetes. On the other hand, with the increased sensitization on how eating healthy meals can protect one from non-communicable diseases, the alternative hypothesis is non-consistent with the whole body of knowledge. Therefore, the original hypothesis meets most of the criteria of adequacy, while the alternative hypothesis fails. Therefore, the original hypothesis rates higher compared to the alternative hypothesis, thus, becoming the best in explaining the aspect of weight gain and non-communicable diseases.
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References
Fuhrman, J. (2018). The Hidden Dangers of Fast and Processed Food. American Journal of Lifestyle Medicine , 12 (5), 375-381. https://doi.org/10.1177/1559827618766483
Janssen, H., Davies, D., Richardson, L., & Stevenson, L. (2017). Determinants of takeaway and fast food consumption: a narrative review. Nutrition Research Reviews , 31 (1), 1-19. https://doi.org/10.1017/S0954422417000178
Kabir, S. (2016). FORMULATING AND TESTING HYPOTHESIS. In S. Kabir, Basic Guidelines for Research: An Introductory Approach for all Disciplines (1st ed., pp. 51-71). Book Zone Publication.
Schick, T. & Vaughn, L. (1995). How to Think about Weird Things: Critical Thinking for a New Age. Mayfield Publishing.
