Childhood Obesity Chamberlain College of Nursing Dawn M. Greene NR448 Information Systems in Healthcare Professor Rebecca Burhenne Spring Session B – 2010 Introduction The research topic attempts to examine if socioeconomic status affects the prevalence of elevating obesity rates in adolescents. Obesity is a condition that is indicative of a” high proportion of body fat that causes a negative effect on your health” (Dahms, 2008). The most common causes is eating too much and moving around too little. Genetics, family history, age, and sex are also risk factors that can lead to obesity. Obesity can be linked to the diagnosis of high blood pressure, diabetes, and heart disease” (Dahms, 2008). The best defense against obesity is diet modification, increase in physical activity, and exercise. To diagnose obesity a calculation called the body mass index (BMI) is used. As referenced by eMedTV (n. d. ), weight (in pounds) divided by height( in inches) squared is then multiplied by 703. A BMI >25 <30 is equivalent to being overweight. A BMI ranging from 30-39 is equivalent of obesity. A BMI of > 40 results in morbid obesity.Order now
The PICO format helps to shape the clinical question by using the key search words: adolescent obesity, low socioeconomic status, and middle socioeconomic status. The acronym PICO identifies “P” as the patient and problem – adolescent. “I” represents an intervention/indicator – low socioeconomic status. “C” is a comparison of lower and middle socioeconomic status. ” O” is the outcome – obesity. The research question formulated using the PICO format is: Is obesity more prevalent in adolescents with lower socioeconomic status than with adolescents from upper /middle socioeconomic status..
My approach to gathering pertinent information needed to find evidenced based practice and peer review articles/journals related to my research topic was to access the Pub Med Medline site: http://www. ncbi. nlm. nih. gov/pubmed/ . I viewed the tutorial on basic searching, how to use Mesh – and the various ways to use vocabulary to get the results you’re looking for, I also looked at thee tutorial on saving searches. My first few attempts find pertinent articles related to my topic were unsuccessful and I had no results returned.
Changing the search by using limits function to narrow down the results. The original research question had to be rephrased, and several variations of key words were used. (i. e. , adolescent obesity, low socioeconomic status, middle socioeconomic status). Tweaking my original research question to match the controlled vocabulary familiar to Mesh yielded a final search of 117 articles. The study design of the article related to my research topic question is a comparative study with qualitative as well as and quantitative components.
The adolescents in the study were put in categories by gender and socioeconomic status therefore, making the study qualitative. Numerical data and percentages qualified it as a quantitative study as well. There were 2,156 adolescents subjects: 1,074 boys and 1,334 girls were of mixed gender, ethnicity, and socioeconomic background. The selection process to determine socioeconomic status (SES) eligibility for the study is the parent’s highest level of education, employment status, eligibility of parents to receive public assistance and if the child received free or reduced school lunch.
The study had two phases, this article reporting on phase two. Phase two of the study spanned over a period of five years, using a “mixed-model regression analysis to examine longitudinal trends in overweight status as a function of SES. ” (Sherwood, Wall Neumark-Sztainer, Story, 2009). The study had a very large population than spanned over 5 years from which to validate the correlation between adolescent obesity and socioeconomic status. The study was conclusive and found that there was an increased rate in obesity in adolescents from low SES in comparison to middle status.
Socioeconomic status of white children in the study fell into the middle socioeconomic status which put them at an advantage giving them a smaller prevalence of obesity than minority adolescents had. References Dahms, J. (2008, August 15) Guide on Obesity/Overweight. Retrieved from http://www. healia. com/ health guide/guides/obesity-overweight/about-this-guide Body Mass Index Formula (n. d) Retrieved from http://bmi. emedtv. com/bmi/bmi- formula-p2. html Sherwood NE, Wall M, Neumark-Sztainer D, Story M. 2009, January) Effect of Socioeconomic on Weight Change Patterns in Adolescents. Preventing Chronic Disease, 6(1): A19 Effect of socioeconomic status on weight change patterns in adolescents. Sherwood NE, Wall M, Neumark-Sztainer D, Story M. APPENDIX MEDLINE DATABASE SEARCH| Keywords | Limiters | Results | Adolescent Obesity| Limits Activated: any date, English, Adolescents 13-18years. | 20932| Adolescent Obesity Prevalence| Same as above| 8726| Adolescent Obesity prevalence in low/middle socioeconomic status| Same as above| 117|