Compares Data For At Least Three SDH To Demonstrate The Leve ✓ Solved
Compares Data For At Least Three Sdh To Demonstrate The Level
Compares data for at least three SDH to demonstrate the level of the problem. Includes health beliefs, based on research evidence, that demonstrate the underlying attitudes that influence the health disparity. Topic/Aggregate: Prevention of Suicide in White Middle Aged Males in Palm Beach County, Florida. Add the following details: at least one slide with one problem, need, or risk for your chosen aggregate and impact on public health nursing approach to a population-specific plan of care; a slide with aggregate health beliefs and impact on public health nursing approach to a population-specific intervention strategy; and a slide for at least three relevant social determinants of health to demonstrate the level of the problem.
Describes social determinants of health with at least three social determinants of health to demonstrate the level of the problem for the population based on research that demonstrates the underlying social determinants that may influence the health disparity.
Slide identifying at least one potential health problem, need, or risk for the chosen aggregate caused by the social determinants, AND the slide includes the impact of the problem, need, or risk on the public health nursing approach to care (what challenge(s) might the nurse meet due to the risks or needs when caring for the patient).
Slide with at least three aggregate's health beliefs (not SDH) based on research that demonstrates the underlying attitudes that influence the health disparity; AND a slide that shows the potential impact of the aggregate's health beliefs on the public health nursing approach to a population-specific intervention strategy.
Included at least three citations and related references AND included at least two graphs, charts, tables or other images. Correct APA 7th Edition format for all citations, references, tables, graphs, and images.
Please provide proof of plagiarism report.
Paper For Above Instructions
Understanding the prevention of suicide among white middle-aged males in Palm Beach County, Florida, requires a nuanced exploration of the social determinants of health (SDH), health beliefs, and public health nursing approaches. This demographic, often overlooked, presents unique health challenges deeply influenced by factors such as socioeconomic status, education, and social support systems. Through an examination of at least three SDH, we can better assess their impact on suicide rates within this population.
Social Determinants of Health
The social determinants of health significantly influence health outcomes and disparities in suicide rates. For white middle-aged males in Palm Beach County, Florida, three critical SDH are:
- Socioeconomic Status: Men in this demographic often face financial instability, which can exacerbate feelings of hopelessness and increase suicide risk (Wong et al., 2020). Economic stress can lead to mental health issues, substance abuse, and increased vulnerability to suicidal ideation.
- Education Level: Educational attainment affects access to knowledge, resources, and employment opportunities. Those with lower education levels may lack awareness of mental health resources, leading to untreated depression or anxiety (Möller-Leimkühler, 2020).
- Social Connectivity: Isolation and lack of social support play a crucial role in mental health. The stigma surrounding mental health issues often prevents individuals from seeking help, particularly in male populations where traditional gender roles discourage vulnerability (Courtenay, 2000).
Impact on Public Health Nursing Approach
Addressing the risk of suicide in this group requires targeted public health nursing approaches tailored to the unique needs identified through the SDH analysis. Nurses play a vital role in implementing population-specific plans of care that address the multifaceted challenges faced by individuals in this demographic. For example:
- Crisis Intervention: Public health nurses should be equipped to apply crisis intervention strategies in scenarios where financial stress manifests as mental health crises, providing immediate support and resources.
- Education and Outreach: Initiatives such as educational workshops that increase awareness about mental health resources and suicide prevention strategies are essential in reducing stigma and encouraging help-seeking behavior.
- Building Community Support: Engaging local community organizations to foster social connectedness can help mitigate feelings of isolation among middle-aged males. Public health nurses can facilitate support groups aimed at creating safe spaces for discussion.
Health Beliefs of the Aggregate Population
Understanding the health beliefs of white middle-aged males in Palm Beach County is crucial for developing effective intervention strategies. Three prevalent health beliefs contributing to the suicide disparity are:
- Stigmatization of Mental Health Problems: Beliefs that equate seeking help with weakness can prevent individuals from accessing necessary services, aggravating suicide risk (Corrigan & Watson, 2002).
- Independence and Self-Reliance: Many men in this demographic pride themselves on being self-sufficient, viewing vulnerability as a personal failure. This belief can lead to a reluctance to confide in others about their struggles (Mahalik et al., 2003).
- Fatalism: There is often a belief that mental health challenges are inescapable or destined to result in failure, which can foster a sense of hopelessness and resignation, further increasing the suicide risk (Wong et al., 2020).
Impact on Public Health Nursing Intervention Strategies
The beliefs held by this population necessitate targeted public health intervention strategies:
- Awareness Campaigns: Implementing campaigns focused on changing perceptions about mental health can encourage individuals to seek help. Utilizing male role models to share their experiences may diminish stigma.
- Tailored Counseling Services: Providing counseling services that emphasize strength-based approaches can align with the self-reliant attitudes of the target demographic, promoting engagement without diminishing their values.
- Community Engagement: Creating community initiatives that involve men in supportive roles can foster a sense of purpose and connectedness, thus reducing isolation.
Conclusion
In summary, addressing the prevention of suicide among white middle-aged males in Palm Beach County requires an understanding of the social determinants of health, health beliefs, and the public health nursing approaches needed to mitigate risks. By considering the socioeconomic factors, education levels, and social connectivity, we can better identify the challenges faced by this group and implement effective interventions that resonate with their beliefs and values.
References
- Corrigan, P. W., & Watson, A. C. (2002). Understanding the stigma of mental illness. World Psychiatry, 1(1), 16-20.
- Courtenay, W. (2000). Constructions of masculinity and their influence on men's well-being: a theory of gender and health. Social Science & Medicine, 50(10), 1385-1401.
- Mahalik, J. R., Burns, S. M., & Syzdek, M. (2007). Masculinity and perceived normative health behaviors as predictors of men's health behaviors. Social Science & Medicine, 64(11), 2201-2209.
- Möller-Leimkühler, A. M. (2020). The role of education in mental health. World Journal of Psychiatry, 10(5), 120-126.
- Wong, M. L., Kolodziej, M. E., & Osuch, E. A. (2020). Social determinants of health and suicide prevention: Reflections on the state of the evidence. Health & Social Care in the Community, 28(3), 693-703.
- World Health Organization. (2021). Mental health and substance use. Retrieved from WHO
- United States Department of Health and Human Services. (2020). Suicide prevention. Retrieved from HHS
- Centers for Disease Control and Prevention. (2021). Web-based Injury Statistics Query and Reporting System (WISQARS). Retrieved from CDC
- Kirkpatrick, E. (2019). The interplay of economic factors and suicide rates in the United States. American Journal of Public Health, 109(2), 234-239.
- Nolen-Hoeksema, S. (2014). Gender differences in depression. Current Directions in Psychological Science, 23(1), 10-14.