Smoking: Hazardous to Your Health, CDC Guidelines Explained - Research Paper

Introduction

Smoking is one of the hazardous lifestyle activities among humans. This claim is built on the notion that cigarette smoke is associated with contained chemical compounds such as nicotine and oxides of carbon. These components when exposed to the metabolic systems of passive smokers, secondary smokers such as unborn babies, and the primary users. This policy brief aims to highlight core concepts in light of the benchmarked directives for cigarette smoking by the Center for Disease Control (CDC) and the World Health Organization (WHO). The inspiration behind this brief is to inform legislation and policymaking in favor of the lives of pregnant women as well as the unborn.

Is your time best spent reading someone else’s essay? Get a 100% original essay FROM A CERTIFIED WRITER!

Save 25%

The Hook for Audience

The most essential part of the imminent policy on smoking during pregnancy targets to save the interests and welfare of expectant women as well as the unborn. Therefore, the hook for the audience is the statement addressing the consequences of cigarette smoking during pregnancy period. Thus, it is core for the policy to elaborate on the negative impacts of cigarettes' components (carbon oxides and nicotine) on the health and wellbeing of those who are directly involved (Go & Hart, 2016). This is aimed to enable an understanding of the cost of the risky lifestyle to trigger compliance with the policy provisions.

The Background Information Needed by the Audience

The main purpose behind the advocacy for compliance with the policy regarding smoking during pregnancy is to coax the directly involved people, especially expectant mothers, to comply with the requirements to guarantee safety. Therefore, background information on the components of cigarettes and the mechanisms behind their impact on metabolic and body systems in general (England et al., 2017). The main aim of this background information is to make the public appreciate health policies such as regulatory guidelines to smoking among expectant mothers by understanding the nature and component of the cigarettes they are likely to smoke when pregnant (England et al., 2017). Key to note, a detailed link regarding how information on the composition and reaction of cigarettes in bodies and the progressive growth of the unborn from embryo to fetus and infantry stages. The correlative information is key to inviting an appreciation and care for the wellbeing of the unborn, which are often in a helpless position when it comes to decision-making to either comply with or overlook health guidelines to smoking mothers when they are expectant.

Important Data for the Audience

The vital information for smoking during pregnancy policy remains the consequences of non-adherence to the policy in terms of personal health and legal punishment. For example, when mothers expose their organ systems to harmful compounds in the course of smoking the reproductive system becomes compromised per structure leading to a high vulnerability to miscarriage or incapacity to conceive again in the future. According to Go and Hart (2016), an in-depth understanding of concepts invites positive embrace and appreciation. Such that, such information is vital in warning the audience (public society) regarding the cost of non-adherence to the policy guidelines.

A precise presentation of this data could help in aligning the policy to the dissemination of the vital information required by the public to pursue health goals. Numerical data that is characterized per stipulated timelines could help the targeted audience discern the level of seriousness behind the issue of smoking during pregnancy. The essence of numerical data is to provide information on the trends of the issue behind smoking when pregnant (Tong et al., 2018). Factual information in form of graphs should be used in the policy to portray a real-life perspective of the issue addressed by the various Acts and policy clauses that make up the health policy for smoking during pregnancy (Tong et al., 2018). Graphic and pictorial presentations are easier for the public to relate in light of concurrence with the inspiration behind advocacy for echoing the guidelines of CDC and WHO on how expectant mothers should be careful with their lifestyle to curb emergent health issues.

Policy Options

There are two main options for approaching the issue of smoking among expectant mothers. One of the interventional approaches is fostering a health-conscious group of practitioners in healthcare. As an option to smoking during pregnancy policy, cessation can be outlined as a mandatory consideration for nursing practices to ensure informed care to expectant mothers. Tong and colleagues (2018) infer that a well-defined interventional approach could be used by nurses and other practitioners in the antenatal care sector. For example, a set of interview questions can be used to guide expectant mothers at a personal level to optimize compliance with the policy and according to the guidelines by the CDC and WHO to guide global response to health hazards that lurk behind smoking when expectant (England et al., 2017).

Also, this approach guarantees the sharing of information through public education initiatives that must be echoed through an emphasis on the policy. The other option is focusing on public health through people-dependent policies. This approach will guarantee a communal understanding and appreciation of the information behind advocacy for non-smoking behaviors while pregnant. As a policy, its compliance aims to mobilize the whole society through self-awareness and sound decisions.

Recommendations

The primary recommendation for the formulation and enforcement of the health policy for regulating smoking among expectant mothers is to maximally use data analytics when presenting data that can convince abstinence from cigarettes, especially when expectant. Big data approaches such as data envelopment analysis (DEA) and analytic hierarchy process (AHP) to discern the decision-making units for regulating smoking based on psychology and mathematical evidence (Patel, Bishnoi, & Ramani, 2018). These approaches guarantee a feasible policy with a remarkable health outcome (Pakkar, 2016).

References

England, L., Tong, V. T., Rockhill, K., Hsia, J., McAfee, T., Patel, D., & Davis, K. C. (2017). Evaluation of a federally funded mass media campaign and smoking cessation in pregnant women: a population-based study in three states. BMJ Open, 7(12), e016826. Retrieved from: https://scholar.google.com/scholar?output=instlink&q=info:bUHFJYjOxYYJ:scholar.google.com/&hl=en&as_sdt=0,5&as_ylo=2016&scillfp=10484906744902923616&oi=lle

Go, J., & Hart, A. J. (2016). A framework for teaching the fundamentals of additive manufacturing and enabling rapid innovation. Additive Manufacturing, 10, 76-87. Retrieved from: https://www.sciencedirect.com/science/article/pii/S2214860416300367

Pakkar, M. S. (2016). An integrated approach to grey relational analysis, analytic hierarchy process, and data envelopment analysis. Journal of Centrum Cathedra, 9(1), 71-86. Retrieved from: https://www.emeraldinsight.com/doi/pdfplus/10.1108/JCC-08-2016-0005

Patel, G., Bishnoi, S., & Ramani, L. (2018). Weight derivation in the analytic hierarchy process using data envelopment analysis. International Journal of Management Decisions, 4(1), 139. Retrieved from: https://www.thesankalpa.org/pdf/1-Manuja.pdf#page=147

Tong, E. K., Stewart, S. L., Schillinger, D., Vijayaraghavan, M., Dove, M. S., Epperson, A. E., & Zhu, S. H. (2018). The Medi-Cal Incentives to Quit Smoking Project: impact of state-wide outreach through health channels. American journal of preventive medicine, 55(6), S159-S169. Retrieved from: https://www.sciencedirect.com/science/article/pii/S0749379718321676

World Health Organization (WHO). (2013). WHO recommendations on the prevention and management of tobacco use and second-hand smoke exposure in pregnancy. [Online]. Retrieved from: https://apps.who.int/iris/bitstream/handle/10665/201657/WHO_NMH_PND_14.3_eng.pdf;jsessionid=52C853BC57026DE52976815B10B53489?sequence=1 (Accessed 4th day of January 2019).