Health Promotion and Disease Prevention

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Langford et al., (2018) Describes the behavioral and genetic beliefs in line with developing hypertension (HTN) using sociodemographic factors and reports based on self HTN status as well as individuals with a history of HTN, evaluating the association between the behavior change attempts and HTN related causal beliefs. Langford et al., (2018) uses a data elicited from the 2014 Health Informational National Trends survey to base the evaluations. Some of the questions based on beliefs in this article include, how do health behaviors like smoking, exercise, and diet relate to HTN or high blood pressure. The other question raised in this article is the relation between genetics passed from one person to another and high blood pressure or HTN.

Langford et al., (2018) uses a multivariate logistic regression to evaluate the relationship between HTN causal beliefs and change in behavior such as diet, exercise, and manageable weight. A population of 1,602 is reported to have HTN from a possible population of 3,555 which is 33%. The logistic models demonstrated that more strong people who was believed to be developing behavior on HTN, they had high chances of behavior attempts. However, this article does not associate beliefs on genetic causes of HTN to behavior change attempts. Women were seen to have high olds as compared to men of increasing fruit and vegetable uptake, limiting soda intake and weight loss. Blacks, as well as Hispanics, were in high chances of losing weight as compared to whites.

Strengths

Langford article uses a sufficient survey of 3,555 out of which 33% are found to be susceptible to HTN. This is a good sample size population. It as well uses all age sets and gender as it compares men and women and found women to have high chances of losing weight as compared to men. The regression models used by Langford et al., (2018) are also inclusive of general data and hence capturing all data in beliefs on behavioral and genetic causes of HTN.

Limitations

There is however a generalization in the data by comparing whites, blacks, and Hispanics in relation with losing weight. Blacks and Hispanics are found to have high olds in losing weight. Langford is now assuming that genes are associated with HTC, but from his conclusion, the behavior is associated with HTC other than genetic causes.

Evaluation of Actions, Barriers, and Facilitators to Limit Dietary Sodium in the Healthcare Setting

Lacey et al., (2018) evaluates the actions, barriers, and facilitators in limiting uptake of sodium in a health care setting as a way of reducing hypertension. Lacey et al., (2018) uses a survey which is administered to food service administrators in the healthcare setting and LTC in Ontario. The results indicated that 63% of the institutions had a sodium target of 900–4,000 mg/day. The percentage had a perception that limiting sodium intake was good for inpatient and resident menus. Group purchasing organizations were however reported to be having a reduction in sodium on lower sodium foods (85.2%), government resource provision and support (74.1%), the improved taste of lower sodium foods (74.1%) and stepping up the availability of pre-packaged lower sodium foods (77.8%). This study, however, found sodium reductions practices to varying from all food service operations.

Strengths

Lacey et al., (2018) uses a good approach in using health care setting as the study areas. In this case, this measured the healing process of the patients in line with sodium intake hence making it efficient to justify sodium uptake. The study also compares several food purchasing organizations and government resources providing support on sodium uptake.

Limitations

The sample area used is quite general. Lancey et al., (2018) generalizes the entire population of health care institutions from only those in Ontario, Canada. In this case, the results were biased from only one region.

From the results in Lancey et al., (2018), there is the need for making coordination and policies in the regulation of sodium uptake in hospitals as well as long-term care setting. In this case, the multi-sectorial government institutional support and industries have to join hands in ensuring there is a reduction of sodium uptake. Langford et al., (2018) associates beliefs on behavioral causes of HTN rather than genetic. future prohealth behavior change is incorporated on behavioral beliefs and the sociodemographic factors.

References

  1. Lacey, M., Chandra, S., Tzianetas, R., & Arcand, J. (2018). Evaluation of actions, barriers, and facilitators to reducing dietary sodium in health care institutions. Food Science & Nutrition, 6(8), 2337–2343. https://doi.org/10.1002/fsn3.814
  2. Langford, A. T., Solid, C. A., Gann, L. C., Rabinowitz, E. P., Williams, S. K., & Seixas, A. A. (2018). Beliefs about the causes of hypertension and associations with pro-health behaviors. Health Psychology, 37(12), 1092–1101. https://doi.org/10.1037/hea0000687
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