Study on the Relation of Body Mass-Index to Asthma (Case Study Sample)
Asthma is a chronic lung disease caused by inflammation of the lower airways and episodes of airflow obstruction. Asthma episodes or attacks can vary from mild to life-threatening. In 2007, about 7% percent of the U.S. population was diagnosed with asthma and there have been a growing number of new cases since that time. There are several known risk factors identified as triggers of asthma symptoms and episodes, including inhalation of allergens or pollutants, infection, cold air, vigorous exercise, and emotional upsets. There is also growing evidence relating body-mass index to asthma in both children and adults. Design a study to investigate whether there is such an association.
Choose a study design and justify the reasons you chose the design over others.
Select a statistical measure you would use to describe the association (if there is one) between body mass index and asthma.
In addition, address:
Issues relating to the measurement of both the exposure and the outcome
Potential biases that the study might be prone to, and how they might be handled
Possible confounding factors and effect modifiers and how to overcome their effect
Present the information in a 750-1000-word report, using section headings where each requirement is described and justified under each of the following headings: Study Design, Statistical Measures, Subject Selection, and Measurement Issues.
Refer to the "Key Elements of a Research Proposal."
You are required to use a minimum of three scholarly resources.
Prepare this assignment according to the APA guidelines found in the APA Style Guide, located in the Student Success Center. An abstract is not required.
If you need a review of study design components, view the resources below.
Review the Key Elements page of the Research Methods Knowledge Base website at http://www.socialresearchmethods.net/kb/guideelements.php
Key Elements of a Research Proposal
Background / purpose / rationale of the study
• Study design
• Statistical bias
o Specific steps to be taken to complete the study
o Instruments/data collection methods
• Proposed data analysis plan
o Statistical analyses planned
o Power analysis if appropriate
• Data safety monitoring if appropriate
• Description of participates
• Recruitment of participates
• Confidentiality/human subject's protection/legal-ethical issues (if appropriate)
• Sampling / rationale
o Inclusion/exclusion criteria
o Number of subjects
Statistical Analysis (only if applicable)
Anticipated Results and Potential Pitfalls
Implications for Practice
Adapted from “Key Elements of a Social Science Research Proposal: Statement of Research Plan” by the Office of Research at Northwestern University at www.research.northwestern.edu
Study on the Relation of Body Mass-Index to Asthma
The effects of Asthma on quality of life, health, and economic growth are quite substantial. According to the report that was given by the Centers for Disease Control and Prevention (CDCP) shows that over 34 million Americans are receiving diagnosis of Asthma during their lifetime and it is also important to note that asthma counts for close to 4,000 deaths every year. Different researchers have pointed out that there is a relation between the Body Mass-Index and Asthma and in adults and the adults (Centers for Disease Control and Prevention (CDC, 2011).
This paper will analyze a study that was conducted to find out if there is an association between body mass-index to asthma in both adults and children.
The Body Mass Index as an Indicator or Predictor for Asthma
The reason why this study was chosen is that it used for the purposes of quantifying the relationship between the body mass in index that is measured in terms of Kilogram per meter square and in middle-aged men and women as well as evaluation of change in body mass index as a risk factor (Rzehak et al., 2013). The incidences of Asthma was estimated from a data that was gathered on redeemed prescriptions of anti-asthmatic drugs during the periods between the years 2004 and 2007, the data was retrieved from the nationwide Norwegian Prescription Database. The other reason why this study design was chosen was due to the fact that it had a well elaborated discussion as far as the relationship between the body mass index and asthma in both children and adults (Hjellvik, Tverdal & Furu, 2010).
The Statistical Measure that would be used to describe the Association between Body Mass Index and Asthma in Children and Adults
In the study, the researchers used a statistical method called Poisson regression. The Poisson regression is also referred to as the GLM model where there is a random component that is specified by the distribution of Poisson of the response variable which is a count (Zou, 2004). This statistical method is used when all of the explanatory variables are quite discrete, and logarithmic linear model is equal to
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