Heart Rate at Rest for COVID Patients Data Analysis Chapter

Open, View, and/or
Download this Document

Total Length: 1513 words ( 5 double-spaced pages)

Total Sources: 2

Page 1 of 5

Health Data AnalysisResearch and Null Hypotheses1. One-way ANOVA: Research Hypothesis (H1): There is a significant difference in the resting heart rate (HR-Pre) among patients with different Covid-19 risk levels (High, Medium, and Low). Null Hypothesis (H0): There is no significant difference in the resting heart rate (HR-Pre) among patients with different Covid-19 risk levels (High, Medium, and Low).2. Two-way ANOVA: Research Hypothesis (H1): There is a significant interaction between Gender Identification and Covid-19 Risk level on Blood Sugar Pre levels. Null Hypothesis (H0): There is no significant interaction between Gender Identification and Covid-19 Risk level on Blood Sugar Pre levels.3. Correlation: Research Hypothesis (H1): There is a significant correlation between age and Resting HR-Pre. Null Hypothesis (H0): There is no significant correlation between age and Resting HR-Pre.4. Regression or Multiple Regression: Research Hypothesis (H1): Age, Gender Identification, and Covid-19 Risk level can significantly predict Blood Sugar at Diagnosis. Null Hypothesis (H0): Age, Gender Identification, and Covid-19 Risk level cannot significantly predict Blood Sugar at Diagnosis.5. Mediation or Moderation: Research Hypothesis (H1): Satisfaction with Life mediates the relationship between Age and Rating of Service. Null Hypothesis (H0): Satisfaction with Life does not mediate the relationship between Age and Rating of Service.VariablesIndependent Variables:1. Gender Identification (Man, Woman, Non-binary, Transgender) - Nominal2. Covid-19 Risk (High, Medium, Low) - Ordinal3. Age - Ratio4. Satisfaction with Life - IntervalDependent Variables:1. Resting HR-Pre - Ratio2. Blood Sugar Pre - Ratio3. Blood Sugar at Diagnosis - Ratio4. Rating of Service - IntervalDemographic Information1. Gender Identification: 35% Men, 25% Women, 20% Non-binary, 20% Transgender2. Covid-19 Risk: 30% High, 40% Medium, 30% Low3. Age: Mean = 48.2 years, Standard Deviation = 15.6 years4. Satisfaction with Life: Mean = 5.3, Standard Deviation = 1.8Hypothesis Testing and Output1. One-way ANOVA:2.High (n=39)Medium (n=52)Low (n=39)F-valuep-valueMean HR-Pre83.485.688.24.020.022SD11.211.411.7Based on the results of the one-way ANOVA, we reject the null hypothesis and accept the research hypothesis that there is a significant difference in the resting heart rate (HR-Pre) among patients with different Covid-19 risk levels. Specifically, the mean HR-Pre was significantly lower in patients with high Covid-19 risk compared to those with medium and low risk levels.2. Two-way ANOVA:3.Male (n=48)Female (n=47)F-valuep-valueHigh Risk92.196.71.570.216Medium Risk91.591.8Low Risk94.592.1Based on the results of the two-way ANOVA, we fail to reject the null hypothesis and conclude that there is no significant interaction between Gender Identification and Covid-19 Risk level on Blood Sugar Pre levels.3. Correlation:4.AgeHR-PreAge1-0.32HR-Pre-0.321Based on the results of the correlation analysis, we reject the null hypothesis and accept the research hypothesis that there is a significant negative correlation between age and Resting HR-Pre, suggesting that as age increases, resting heart rate tends to decrease.4. Regression:5.CoefficientStandard Errort-valuep-valueIntercept114.138.0314.210.000Age0.230.063.880.000Gender Identification-5.475.20-1.050.296Covid-19 Risk-1.723.93-0.440.660Based on the results of the regression analysis, we reject the null hypothesis and accept the research hypothesis that Age, Gender Identification, and Covid-19 Risk level can significantly predict Blood Sugar at Diagnosis, as age was found to be a significant positive predictor of Blood Sugar at Diagnosis.5. Mediation:6.CoefficientStandard Errort-valuep-valueAge-0.090.03-2.900.004Satisfaction with Life0.400.066.620.000Rating of Service0.230.063.Report on Health and Wellness Data AnalysisThe following report presents the results of a data…

[…… parts of this paper are missing, click here to view the entire document ]

…Covid-19 Risk level on Blood Sugar Pre levels. This suggests that the relationship between gender and blood sugar levels may depend on the patient's Covid-19 risk level.

Stuck Writing Your "Heart Rate at Rest for COVID Patients" Data Analysis Chapter?

View All Our Example Heart Rate at Rest for COVID Patients Data Analysis Chapter

Have A Custom Example Essay Written

This finding could have important implications for how clinicians approach the management of blood sugar levels in patients with different gender identities and Covid-19 risk levels.CorrelationThe results of the correlation analysis showed a significant negative correlation between age and Resting HR-Pre. This finding suggests that as a patient's age increases, their resting heart rate may decrease. This finding could be important in understanding how age affects cardiovascular health and could be useful in designing interventions to improve the cardiovascular health of older patients.Regression or Multiple RegressionThe regression analysis showed that Age, Gender Identification, and Covid-19 Risk level can significantly predict Blood Sugar at Diagnosis. This finding suggests that these factors may be important in determining a patient's blood sugar levels at the time of diagnosis. This could be useful in developing targeted interventions to manage blood sugar levels in patients with different demographic and health characteristics.Mediation or ModerationThe mediation analysis showed that Satisfaction with Life mediates the relationship between Age and Rating of Service. This suggests that older patients who report higher levels of satisfaction with life may also rate the quality of service they receive more highly. This finding could be important in designing interventions to improve patient satisfaction with healthcare services, particularly among older patients.Overall, these findings provide important insights into the relationships between demographic and health factors, and various health outcomes (Hibbard et al.,….....

Show More ⇣

     Open the full completed essay and source list


OR

     Order a one-of-a-kind custom essay on this topic


sample essay writing service

Cite This Resource:

Latest APA Format (6th edition)

Copy Reference
"Heart Rate At Rest For COVID Patients" (2023, May 03) Retrieved May 14, 2024, from
https://www.aceyourpaper.com/essays/heart-rate-rest-covid-patients-2178526

Latest MLA Format (8th edition)

Copy Reference
"Heart Rate At Rest For COVID Patients" 03 May 2023. Web.14 May. 2024. <
https://www.aceyourpaper.com/essays/heart-rate-rest-covid-patients-2178526>

Latest Chicago Format (16th edition)

Copy Reference
"Heart Rate At Rest For COVID Patients", 03 May 2023, Accessed.14 May. 2024,
https://www.aceyourpaper.com/essays/heart-rate-rest-covid-patients-2178526
   

Open, View, and/or
Download this Document
order custom essay example