Module A: Target Population & Cultural/Group Characteristics
Chronic Disease Process: Obesity.
- Modifiable Risk Factors: Lifestyle changes, Diet modifications, Exercise Regimen.
Target Population: Non-Hispanic Black Adults.
Rationale: The table below contains information supporting the need for the intervention:
| Obesity Prevalence | National Data | State Data | Local (city/county) Data |
| The alleviation of self-management of chronic diseases offers a great way of managing diseases. However, it comes with a plethora of challenges because it calls for patients and their caregivers to change lifestyles and monitor any indications of disease exacerbation (Brady, Sacks, Terrillion, & Colligan, 2018). While obesity is a common and serious disease, it is costly to treat and manage, which makes it a leading cause of preventable and premature deaths (McAllister, Zheng, Bond, & Moorhead, 2016). | United States | Texas | Houston/Harris |
| Younger Adults | 40.0% | 33.8% | 30.1%(CDC) |
| Middle-aged adults | 44.8% | 37.6% | 41.7%(CDC) |
| Old-age adults | 42.8% | 29.6% | 38.6%(CDC) |
| This paper focuses on obesity, as a chronic disease, that continues to rampage non-Hispanic black adults with the view of developing a self-management intervention in Houston. | Target Population Additional Information |
| Obesity on the black-non-Hispanic in Houston. | Although obesity is a manageable disease, it has become a chronic healthcare problem due to the increasing prevalence of obesity among non-Hispanic black adults (Nguyen et al., 2016). |
| New treatment intervention | A new treatment intervention is required to address lifestyle and behavioral issues related to the management of obesity. This is primed on the realization that a poor lifestyle is the leading cause of the rise of obesity (Guglielmo et al., 2018). |
Cultural/Group Considerations: The table below contains information about the culture/group, which should be considered when planning a successful health intervention.
| Black non-Hispanic | Cultural/Group Considerations |
| The vulnerability of the target population | The target population is vulnerable to obesity because they are disadvantaged socioeconomically. |
| Self-Monitoring techniques | The use of technology-based self-monitoring techniques coupled with necessary educational training to enable individuals to track their obesity (Boillat, Rivas, & Wac, 2018). |
References
Boillat, T., Rivas, H., & Wac, K. (2018). “Healthcare on a wrist”: Increasing compliance through checklists on wearables in obesity (self-) management programs. In Digital health (pp. 65-81). Springer, Cham.
Brady, T. J., Sacks, J. J., Terrillion, A. J., & Colligan, E. M. (2018). Peer-Reviewed: Operationalizing Surveillance of Chronic Disease Self-Management and Self-Management Support. Preventing chronic disease, 15.
CDC, National Centre of Health Services https://www.cdc.gov/nchs/products/databriefs/db360.htm
Guglielmo, D., Hootman, J. M., Murphy, L. B., Boring, M. A., Theis, K. A., Belay, B., … & Helmick, C. G. (2018). Health care provider counseling for weight loss among adults with arthritis and overweight or obesity—the United States, 2002–2014. Morbidity and Mortality Weekly Report, 67(17), 485.
McAllister, P., Zheng, H., Bond, R., & Moorhead, A. (2016, September). A digital technology framework to optimize the self-management of obesity. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct (pp. 1126-1131).
Nguyen, A. D., Baysari, M. T., Kannangara, D. R., Tariq, A., Lau, A. Y., Westbrook, J. I., & Day, R. O. (2016). Mobile applications to enhance self-management of gout. International journal of medical informatics, 94, 67-74.
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