If I was analyzing the results of an exercise machine that provided an average 10 pound weight loss result, I would seek several pieces of information. First, I would want to know the number of the population surveyed. I would also seek information regarding those who implemented a change in diet along with the use of the exercise machine. In order to lose weight, one must burn more calories than they take in (iVillage, 2004). Thus, one must implement a healthy diet to increase the probability of weight loss. I would need to know the time frame for which the loss occurred. Did the 10 pound loss happen in a weeks or months? Verification of actual exercise machine usage should be a required element for reference. The population represented within
We did things like jog around the track field; walk up and down stairs and also the treadmill. We also worked with partners in this lab, which was a good experience. In addition, it was good to know about our own caloric expenditure, however accurate it is, so that we can start living a healthier living after looking at how long it takes to burn a chipotle
Step 2 identifies the percentage of unplanned weight loss and enables a score to be obtaioned.
Two-hundred overweight/obese individuals will be subjected to my evaluation plan. Upon completion of the nutrition 2-hour workshops and questionnaire about current eating habits, participants will be randomly placed into either the breakfast eating group or the non-breakfast eating group. This randomization will occur via computer programing. Participants will then be measured for weight and height via balance beam and scale stadiometer. Body mass index will be measured via XA model Lunar DPX-IQ. A plastic- flexible tape measure will be used to measure hip circumference.
As an individual who does not exercise on a regular basis, my results overall were quite poor, with a post-test average percentage of 32.5%, but it was still an improvement over my pre-test average of 22.9%. To analyse these results, I shall begin with the smaller components, to get a closer look at my shortcomings, improvements and why my results are generally unsatisfactory.
The first method used for quantitative reporting, would be as the same as Makarova & Sokolva mentioned, which would be using it as a financial indicator of the overall success of the project (Makarova & Sokolva, 2014). As stated earlier, obese individuals spend about 1,429 dollars more on health care than a normal individual (Finkelstein, Trodgdon, Cohen & Dietz, 2009). If an analyst wanted to take this quantitative method, they would use the amount of money saved per year, over the course of an individual’s life, as a way to show that the evaluation of a plan was successful. To further this, if the surveillance saw one person stay below obese for 25 years, this would yield a total savings of around
This shows an importance placed more heavily on the diet part of the program than on the exercise. This could have directly affected the results. In relation to the diet, the adults experienced a decrease in their urinary Na/K, their blood pressure, and their total cholesterol when they monitored the intake of healthy foods. Changes were also seen as an increase in their body mass index when they monitored the intake of unhealthy foods. These changes were not as obvious when monitoring exercise results. In regards to exercise, there were no significant correlations between the measured variables and the adults in the study.
From Bogalusa Heart Study, came about a research scientific study on physical activity and dietary behaviors, conducted by Dr. Russell Jago, and colleagues. The research focused on energy imbalance and examining relationships between the dietary and physical activity behaviors of young adults. The claim is that obesity is due to an energy imbalance, in other words, more intake in calories is increasing, but, the energy of burning them off isn’t increasing trending along. The reason behind the study is to collect enough information to have successful outcomes of obesity prevention. The study conducted a sample size of just a little over a thousand participants with an age group ranging from 19-37 years, within the range seventy-six percent
(p=0.037) from baseline (p = 0.046), physical activity (TM > UC), and daily weight at 90 days (TM > UC, p = 0.0332).
Throughout this paper you will find that it is going to be discussing many things. Some of those things are to describe a current health problem or nutritional need that I may be experiencing, four nutritional or physical exercise goals, the actions taken to meet each goal, the anticipated setbacks or difficulties and the approaches to overcome them, the outcomes by which to measure success, evidence of the plans effectiveness by addressing the identified problem or need, and the evaluation of potential health risks that may develop if the plan is not implemented. So basically this paper is going to be about a realistic nutrition and exercise plan that best suits me.
Accordingly, a recent analysis by Prentice and Jebb (4) has emphasized the contribution of sedentariness to the increased prevalence of overweight in the United Kingdom. Despite these observations, the contribution of exercise to the prevention and treatment of obesity is still perceived as trivial by many health professionals. The perception of many of them was recently well summarized by Garrow (5) who stated that exercise is a remarkably ineffective means of achieving weight loss in obese people, mainly because their exercise tolerance is so low that the level of physical activity that they can sustain makes a negligible contribution to total energy expenditure. When one looks at the currently available literature, it is difficult to disagree with this statement. Indeed, numerous studies have demonstrated that when exercise is used alone to treat obesity, body weight loss is generally small (6). In addition, the further weight loss generated by adding an exercise program to a reduced-calorie diet is also often small if not insignificant (7). Traditionally, the study of the impact of exercise on body weight control has focused on its energy cost and on the hope that the body energy loss will be equivalent to the cumulative energy cost of exercise sessions. In practical terms, this means for instance that if a physical activity program induces an excess of energy expenditure of 2000 kcal/week, a similar energy deficit should be expected in the active obese
One such tool that began to be used in the measurement of activity levels was the pedometer. This measuring device is best for measuring ambulatory activity and was demonstrated to be a decent tool for this sake. A study of physical activity in American adults wanted to test how useful pedometers could be by evaluating participants on health and activity levels and recording the steps accumulated over 2 days of pedometer use (Bassett et al., 2010). This study found that U.S. adults averaged about 5000 steps per day, men averaging slightly higher than women and step counts declining with age. They also found that, along with being a useful tool for measuring ambulatory physical activity, pedometers encouraged participants to move more. However,
I elaborated two tables based on the subjects who do exercise constantly and the subjects who don’t, I present those tables in table 1 (athletic people) and table 2 (people who doesn’t do exercise constantly)
Five people provided interviews to gather the user observations. All five of these people enjoy exercising on a daily basis. The group is comprised of three men and two women. All were interviewed in person with pen and paper for data gathering. The data that was gathered was then interpreted into needs and from that a survey was developed.
Although the investigation was able to provide more knowledge and understanding regarding the relationships between energy, activity levels and carbohydrate intake in order to contribute towards a solution to the problem of obesity, there were many limitations to this experiment that needed to be considered. For the personal data, the dietary observations collected over the two experimental days were not substantial to represent their lifestyle as a whole. Studies led by Burke et al., (2001) demonstrated that individuals can make inaccurate reports in various ways such as altering their dietary intake during period of recording, omitting or underestimating their intake and quantification errors of their consumption. As the group data was a collation of individual’s two-day dietary records, variability and inaccuracy increased considering the wide range of influences each individual may have been subjected to. There were 359 females and 195 males involved in the
The first argument as to why dieting is more effective for weight loss than exercise is that a good diet is better for overall weight control. A better diet quality has been associated with less weight gain over time and one study looked to compare changes in diet quality in overweight and obese adults during a weight loss intervention (O'brien et al. 2014). Groups consisting of a standard weight loss program, an enhanced version of the weight loss program, and a wait list control group were tested to see if their diet quality improved their weight loss. The results found that the basic weight loss program and the enhanced version of the weight loss program lost significantly more