Data Collection Method

Data Collection Method

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Data Collection Method

Evidence-based practices are made possible through translational research where nurses collect relevant data, analyze and interpret it to make a meaningful conclusion. Accuracy in the findings from such researches depends on the data collection method used. Therefore, the research must always determine the key characteristics of the targeted population and the variables to analyze to develop the best data collection method. Applying wrong data collection will reduce the inferential ability of the study findings to the general population. It is impossible to recruit the entire targeted population in the research processes because of the costs, time, and other resources required. Therefore, a sample may be taken from the population to explore the variables of interest. The current study seeks to explore the impacts of demographic characteristics on the incidences of obesity. The study will involve a quantitative method in answering the research question.

Description of the Chosen Population and Identified Health Need

The incidences of obesity among teenagers and adolescents continue to rise. Such incidences present significant health concerns considering that it predisposes one to cardiovascular diseases among others (“Causes and Consequences of Childhood Obesity”, 2021). Furthermore, obesity among teenagers and adolescent causes low self-esteem and depression among other mental health issues. People who develop cardiovascular diseases at a younger age are likely to have the condition persist in their lives for their entire adulthood. Such compromises their quality of life. Public health interventions are developed to promote a better quality of life among the populations.

According to Sanyaolu et al. (2019), almost a third of children and adolescents in the U.S have obesity. The rising cases of obesity are attributed to various factors. However, family level of education, socioeconomic factors, and dietary intake patterns could be contributing to the factor. Similarly, various interventions have been developed to fight the disease; though, there are areas that need to be addressed. For example, the government has responded to the issue by taxing unhealthy food to reduce its consumption among the public. According to Aldolaim (2019), obesity remains a major concern that needs to be explored further because of the health risks and financial burdens it presents to the public.

The Most Appropriate Data Collection Method

The study aims at exploring the relationship between the demographic and social characteristics of the population and the risk for obesity. The data collection method will involve the use of both structured interviews and surveys. Surveys are necessary because they will help in reaching out to a large sample population within a short period. The interviews on the other hand, will provide supplementary data for answering the research question. The study hypothesizes that children from low-income families are more likely to develop obesity compared to those from high-income families. Also, the study assumes that the parental education level also influences the risk of childhood obesity among their children. In determining whether the hypothesis is true or not, data on the family income and the parental level of education will be collected. The parental level of education and the economic status will be the independent variables. On the other hand, the dependent variable will be the risk for obesity which will be operationalized into the weight circumference, weight, and height. The data will be used in calculating the BMI values.

Type of Data to Be Collected

The study will be quantitatively based; therefore, the quantitative data will be collected. The quantitative data description involves performing statistical analysis to indicate whether there is an association or variations in the observed phenomenon among different groups. The study will focus on teenagers and adolescents who can be easily obtained in schools. The experiences of the targeted population vary from one region and cultural group. Therefore, there could be modifying variables that will be captured in the study; though, they have a significant impact on the health outcomes for the targeted population. Statistical analysis such as the t-test and ANOVA will be conducted to estimate the variations in the risks for obesity among the various population groups.

Identify Health Indicators Specific to the Population

Teenagers and adolescents are very sensitive because of the many physical and physiological changes that occur in their bodies. On the other hand, parenting patterns have changed significantly among the populations in the current era. Parents no longer have time to interact with their children. Teenagers and adolescents spend most of their time on the internet and this leaves them with limited time for physical interactions and this increases their risk of having obesity and cardiovascular diseases. Alternatively, lack of proper parental guidance means that they are likely to consume unwanted food. Therefore, the key health indicators for this study will be BMI values. A normal BMI value should be between the 5th percentile and the 85th percentile for age (Kansra et al., 2021). High or low BMI values will be indicators of either overweight or underweight attributed to poor eating patterns among the population group.

According to Mitchell et al. (2018), there are many cases of overweight and underweight among teenagers and adolescents. The studies conducted to explore the risk factors for obesity are mainly limited to the developed nations with little attention given to the developing nations. Previously studies have indicated that BMI depends on the level of consumption of fast foods and the parental lifestyles. The current study helps in further understanding the implications of the socio-demographic characteristics on the health indicator.

Five Example Questions to Be Used in Your Data Collection

The following are the list of questions to be used in data collection:

  • Have you experienced weight gain or weight loss in the past 6 months?

The question seeks to understand whether the participants have gained or lost weight within the last six months. The findings would be used in determining whether their weight is related to lifestyle or genetic.

  • Would rate your parents as highly engaging or less engaging?

The question will help in understanding whether the patients are engaged in the lifestyle patterns of their children.

  • What is the estimated level of your family income?

The level of income for the family will be used in determining whether family income is correlated to the risk of obesity.

  • How often do you consume fast food?

The question seeks to determine the eating patterns of the targeted audience.

  • What is the highest level of education your parents attained?

The question will be used in determining whether parental education is a determinant for the risks of childhood and teenage obesity.

Conclusion

The study seeks to determine factors influencing the high incidences of teenage and adolescent obesity. Obesity is becoming a major health concern for teenagers and adolescents. As a result, the study will involve a quantitative data collection technique which will help in determining the key factors contributing to the rising incidences of obesity among the population group.

 

 

 

References

Aldolaim, S. (2019). Parental perceptions of childhood obesity: Systematic literature review. Journal of Childhood Obesity04(01). https://doi.org/10.36648/2572-5394.4.1.70

Causes and consequences of childhood obesity. (2021, March 19). Centers for Disease Control and Prevention. https://www.cdc.gov/obesity/childhood/causes.html

Kansra, A. R., Lakkunarajah, S., & Jay, M. S. (2021). Childhood and adolescent obesity: A review. Frontiers in Pediatrics8https://doi.org/10.3389/fped.2020.581461

Mitchell, E. A., Stewart, A. W., Braithwaite, I., Murphy, R., Hancox, R. J., Wall, C., & Beasley, R. (2018). Factors associated with body mass index in children and adolescents: An international cross-sectional study. PLOS ONE13(5), e0196221. https://doi.org/10.1371/journal.pone.0196221

Sanyaolu, A., Okorie, C., Qi, X., Locke, J., & Rehman, S. (2019). Childhood and adolescent obesity in the United States: A public health concern. Global Pediatric Health6, 2333794X1989130. https://doi.org/10.1177/2333794×19891305

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