The document discusses a discussion assignment for an MHA course. It provides background on the National Health and Nutritional Examination Survey (NHANES) and the 2012 National Youth Fitness Survey (NNYFS) conducted as part of NHANES. It then describes data from the surveys contained in an Excel file and poses three questions for students to answer about BMI variations. The questions examine if BMI varies between boys and girls, among racial/ethnic groups, and with age. Students are instructed to choose an analysis method and respond to peers who used different methods.
Bio 500 grand canyon entire course latestActivity Mode
BIO 500 GC Week 1 Discussion 1 Latest
Search for 2 or 3 SPSS tutorials to help you learn how to use SPSS. Answer the following about the websites. Provide the website for the 2 or 3 tutorials that you found on SPSS? What specific things were you searching for in these tutorials? What did you like or dislike about the tutorials? What did you find the most useful in these tutorials?
Bio 500 grand canyon entire course latestActivity Mode
BIO 500 GRAND CANYON ENTIRE COURSE LATEST
BIO 500
BIO 500 GC Week 1 Discussion 1 Latest
Search for 2 or 3 SPSS tutorials to help you learn how to use SPSS. Answer the following about the websites. Provide the website for the 2 or 3 tutorials that you found on SPSS? What specific things were you searching for in these tutorials? What did you like or dislike about the tutorials? What did you find the most useful in these tutorials?
Intro to SPSSGeneral tips and hints about using SPSS and opening u.docxnormanibarber20063
Intro to SPSS
General tips and hints about using SPSS and opening up files into SPSS
https://www.youtube.com/watch?v=ADDR3_Ng5CA
SPSS Tutorial on Frequencies
Descriptive statistics for continuous variables (age, income, BMI)
https://www.youtube.com/watch?v=zI8tE81IeSk&list=UUXLbK1bH-w1oklGm4dLYrHw
SPSS Tutorial on Descriptive Statistics
Descriptive statistics for other variables like dichotomous and categorical variables (education, gender, marital status, race, etc.)
https://www.youtube.com/watch?v=c4mGKguUnvc&list=UUXLbK1bH-w1oklGm4dLYrHw
One-Sample t-Test
Comparing one continuous variable with a population mean (etc. is the study population’s BMI different than the population BMI; is the study populations mean age different than the mean age of the general population, etc.)
https://www.youtube.com/watch?v=jTJdj7ZYmmU&list=UUXLbK1bH-w1oklGm4dLYrHw
Paired-Sample t-Tests
Comparing one continuous variable in either two matched samples (blood pressure of participants on new drug versus placebo, matched on age, gender, and race), or in the same sample at two time points (e.g. SAT scores before and after an SAT prep class; BMI before and after a weight-loss intervention, blood pressure before and after meditation)
https://www.youtube.com/watch?v=eanXmHlW5qE&list=UUXLbK1bH-w1oklGm4dLYrHw
Two Independent Sample t-Tests
Comparing a continuous variable in two different populations, not matched on any variables: mean age of breast cancer diagnosis in Hispanic versus African-American population; # colds in a year in prechool aged children versus school-aged children; height of children on steroids versus those never had steroids
https://www.youtube.com/watch?v=qOH46VVm1Uo&list=UUXLbK1bH-w1oklGm4dLYrHw
Correlations
How do two continuous variables relate to one another? As one variable increases, does the other variable decrease, stay the same, or increase? E.g correlation of age and income is generally relatively high and linear – as one gets older, one increases in income
https://www.youtube.com/watch?v=cNrnSEWKJgg&list=UUXLbK1bH-w1oklGm4dLYrHw
Chi-Square
Comparison of a dichotomous or categorical outcome across two or more independent groups: e.g. are there more women with cervical cancer among Caucasian, African-American, Hispanic, Asian-American, Native American, or other racial groups? Comparison of cancer status across racial groups, or across education groups, or across income levels; comparison of BMI across different job types or levels of employment (salaried, hourly, contractor, commission-based, etc.) or different shifts (day-shift, night-shift, varied).
https://www.youtube.com/watch?v=Ahs8jS5mJKk
Analysis of Variance (ANOVA) and F-Test
Comparison of a continuous outcome across more than two groups: e.g. BMI comparison of low fat, low calories, low carb, and control groups; blood pressure comparison across those on clinical trial drug A, clinical trial drug B, and a control group.
https://www.youtube.com/watch?v=C3-a5jrCjhk
Linear Regression.
Bio 500 grand canyon entire course latestActivity Mode
BIO 500 GC Week 1 Discussion 1 Latest
Search for 2 or 3 SPSS tutorials to help you learn how to use SPSS. Answer the following about the websites. Provide the website for the 2 or 3 tutorials that you found on SPSS? What specific things were you searching for in these tutorials? What did you like or dislike about the tutorials? What did you find the most useful in these tutorials?
Utilization of Public Data SetsRunning head UTILIZATI.docxjessiehampson
Utilization of Public Data Sets
Running head: UTILIZATION OF PUBLIC DATA SETS
1
Utilization of Public Data Sets
6
Introduction
The purpose of this research paper is to inform the audience of the severe incline of diabetic mortality rate in the United States. This paper will discuss where the data originates from, what makes the information gathered valuable and important, and what changes can or should be made to help improve overall health care efficiency and quality. Included in this paper will be a data chart which will provide a visual representation of the collected data.
Data Source
A series of data that is gathered for analyzation or reference towards something to represent or justify a course of action or to persuade an audience is what data is. It is important to understand what data is before understanding the importance of it. Not all data is relevant, which means it can be acted upon. Sorting through the vast amount of data to find relevant data can be time consuming and tiresome. Relevant data is used by businesses to make informed and justified decisions.
Why Is Data Important
Data is viewed as something that cannot be fought against due to it being fact and not based on opinion. Gathering data allows for issues to be avoided and certain things to be changed or altered to avoid problems from worsening. This allows the company to assume a proactive method of thinking. The consumer of the service provided will establish a relationship with the company due to the provided data. Feedback will provide an opportunity for the company to facilitate any necessary needs. The data that is collected will establish new customers, produce possible solutions to issues, retain current customer base, and more.
Trends
Americans are dying at an alarming rate from diabetes (Diabetes, 2018). There are preventive measures that can help prevent or lessen that chances of becoming diabetic, such as being proactive in work, school, and social life. Being knowledge about nutrition and conscious about the types of food a person takes in can also help decrease the chances of becoming diabetic. Data gathered and categorized is important to the stakeholders because it can provide valuable information and help prioritize the areas of focus. Data collection and analyzation is what can help make a business fail or succeed.
Policies to Improve Care and Change in Operation
There are a couple of things that individuals can do to prevent diabetes. A few of these things is exercising on a regular basis, maintaining a health nutritional diet, and a normal body weight are just a few things that can be done. Simply being aware of diabetes and what can be done to prevent it is a great help by just informing individuals of the possibility and what lead to it. Learning the information at an early age or early in life is very important (Paddock, 2014). Teaching this information to children while in school is a great idea to help promote a healthy lifestyle and d ...
Spss Homework Psyc 421
SPSS Assignment Part 1 Instructions
Describing a Normative Sample
When it comes to the use of psychological tests, one approach that both researchers and clinicians take in trying to understand participants’ performance is a norm-referenced approach. With a norm-referenced test, the test is given to a large, representative group of participants known as the “normative sample” (a.k.a. “norm group”). Then, the scores of all subsequent test-takers are compared to the scores of the norm group. In order for the norm group to be a valid comparison group, it has to be representative of the population who will be taking the test.
So how do we know if the normative sample is representative? When summarizing the psychometric properties of a test, test developers and publishers usually describe the norm group with their demographic variables. Demographic variables are characteristics of the participants like: gender, age, ethnicity, relationship status, socioeconomic status, religious affiliation etc. A description of the normative sample allows examinersto decide if the test of interest can be used with their intended examinees. For example, if the normative sample were 95% male, then you likely could not logically compare their scores to females test takers! That is why readers need to know what the normative sample looks like.
The purpose of the current assignment is for you to provide a verbal (and graphical)description of a fictional normative sample of research participants.
In the Assignment Instructions folder, there is an SPSS data file that will be the basis for your analyses. The data provided are fictional and were created solely for the purposes of our SPSS assignments. This data file includes: 1) demographic information for a normative sample of 428 participants, and 2) participants’ scores on a test called the Center for Epidemiologic Studies Depression Scale (CES-D scale).
The CES-D Scale is utilized to measure symptoms of depression. It is a self-assessment that is completed by the individual. The CES-D contains 20items rated on a 4-point scale (0 = Rarely or None of the Time to 3
Bio 500 grand canyon entire course latestActivity Mode
BIO 500 GC Week 1 Discussion 1 Latest
Search for 2 or 3 SPSS tutorials to help you learn how to use SPSS. Answer the following about the websites. Provide the website for the 2 or 3 tutorials that you found on SPSS? What specific things were you searching for in these tutorials? What did you like or dislike about the tutorials? What did you find the most useful in these tutorials?
Bio 500 grand canyon entire course latestActivity Mode
BIO 500 GRAND CANYON ENTIRE COURSE LATEST
BIO 500
BIO 500 GC Week 1 Discussion 1 Latest
Search for 2 or 3 SPSS tutorials to help you learn how to use SPSS. Answer the following about the websites. Provide the website for the 2 or 3 tutorials that you found on SPSS? What specific things were you searching for in these tutorials? What did you like or dislike about the tutorials? What did you find the most useful in these tutorials?
Intro to SPSSGeneral tips and hints about using SPSS and opening u.docxnormanibarber20063
Intro to SPSS
General tips and hints about using SPSS and opening up files into SPSS
https://www.youtube.com/watch?v=ADDR3_Ng5CA
SPSS Tutorial on Frequencies
Descriptive statistics for continuous variables (age, income, BMI)
https://www.youtube.com/watch?v=zI8tE81IeSk&list=UUXLbK1bH-w1oklGm4dLYrHw
SPSS Tutorial on Descriptive Statistics
Descriptive statistics for other variables like dichotomous and categorical variables (education, gender, marital status, race, etc.)
https://www.youtube.com/watch?v=c4mGKguUnvc&list=UUXLbK1bH-w1oklGm4dLYrHw
One-Sample t-Test
Comparing one continuous variable with a population mean (etc. is the study population’s BMI different than the population BMI; is the study populations mean age different than the mean age of the general population, etc.)
https://www.youtube.com/watch?v=jTJdj7ZYmmU&list=UUXLbK1bH-w1oklGm4dLYrHw
Paired-Sample t-Tests
Comparing one continuous variable in either two matched samples (blood pressure of participants on new drug versus placebo, matched on age, gender, and race), or in the same sample at two time points (e.g. SAT scores before and after an SAT prep class; BMI before and after a weight-loss intervention, blood pressure before and after meditation)
https://www.youtube.com/watch?v=eanXmHlW5qE&list=UUXLbK1bH-w1oklGm4dLYrHw
Two Independent Sample t-Tests
Comparing a continuous variable in two different populations, not matched on any variables: mean age of breast cancer diagnosis in Hispanic versus African-American population; # colds in a year in prechool aged children versus school-aged children; height of children on steroids versus those never had steroids
https://www.youtube.com/watch?v=qOH46VVm1Uo&list=UUXLbK1bH-w1oklGm4dLYrHw
Correlations
How do two continuous variables relate to one another? As one variable increases, does the other variable decrease, stay the same, or increase? E.g correlation of age and income is generally relatively high and linear – as one gets older, one increases in income
https://www.youtube.com/watch?v=cNrnSEWKJgg&list=UUXLbK1bH-w1oklGm4dLYrHw
Chi-Square
Comparison of a dichotomous or categorical outcome across two or more independent groups: e.g. are there more women with cervical cancer among Caucasian, African-American, Hispanic, Asian-American, Native American, or other racial groups? Comparison of cancer status across racial groups, or across education groups, or across income levels; comparison of BMI across different job types or levels of employment (salaried, hourly, contractor, commission-based, etc.) or different shifts (day-shift, night-shift, varied).
https://www.youtube.com/watch?v=Ahs8jS5mJKk
Analysis of Variance (ANOVA) and F-Test
Comparison of a continuous outcome across more than two groups: e.g. BMI comparison of low fat, low calories, low carb, and control groups; blood pressure comparison across those on clinical trial drug A, clinical trial drug B, and a control group.
https://www.youtube.com/watch?v=C3-a5jrCjhk
Linear Regression.
Bio 500 grand canyon entire course latestActivity Mode
BIO 500 GC Week 1 Discussion 1 Latest
Search for 2 or 3 SPSS tutorials to help you learn how to use SPSS. Answer the following about the websites. Provide the website for the 2 or 3 tutorials that you found on SPSS? What specific things were you searching for in these tutorials? What did you like or dislike about the tutorials? What did you find the most useful in these tutorials?
Utilization of Public Data SetsRunning head UTILIZATI.docxjessiehampson
Utilization of Public Data Sets
Running head: UTILIZATION OF PUBLIC DATA SETS
1
Utilization of Public Data Sets
6
Introduction
The purpose of this research paper is to inform the audience of the severe incline of diabetic mortality rate in the United States. This paper will discuss where the data originates from, what makes the information gathered valuable and important, and what changes can or should be made to help improve overall health care efficiency and quality. Included in this paper will be a data chart which will provide a visual representation of the collected data.
Data Source
A series of data that is gathered for analyzation or reference towards something to represent or justify a course of action or to persuade an audience is what data is. It is important to understand what data is before understanding the importance of it. Not all data is relevant, which means it can be acted upon. Sorting through the vast amount of data to find relevant data can be time consuming and tiresome. Relevant data is used by businesses to make informed and justified decisions.
Why Is Data Important
Data is viewed as something that cannot be fought against due to it being fact and not based on opinion. Gathering data allows for issues to be avoided and certain things to be changed or altered to avoid problems from worsening. This allows the company to assume a proactive method of thinking. The consumer of the service provided will establish a relationship with the company due to the provided data. Feedback will provide an opportunity for the company to facilitate any necessary needs. The data that is collected will establish new customers, produce possible solutions to issues, retain current customer base, and more.
Trends
Americans are dying at an alarming rate from diabetes (Diabetes, 2018). There are preventive measures that can help prevent or lessen that chances of becoming diabetic, such as being proactive in work, school, and social life. Being knowledge about nutrition and conscious about the types of food a person takes in can also help decrease the chances of becoming diabetic. Data gathered and categorized is important to the stakeholders because it can provide valuable information and help prioritize the areas of focus. Data collection and analyzation is what can help make a business fail or succeed.
Policies to Improve Care and Change in Operation
There are a couple of things that individuals can do to prevent diabetes. A few of these things is exercising on a regular basis, maintaining a health nutritional diet, and a normal body weight are just a few things that can be done. Simply being aware of diabetes and what can be done to prevent it is a great help by just informing individuals of the possibility and what lead to it. Learning the information at an early age or early in life is very important (Paddock, 2014). Teaching this information to children while in school is a great idea to help promote a healthy lifestyle and d ...
Spss Homework Psyc 421
SPSS Assignment Part 1 Instructions
Describing a Normative Sample
When it comes to the use of psychological tests, one approach that both researchers and clinicians take in trying to understand participants’ performance is a norm-referenced approach. With a norm-referenced test, the test is given to a large, representative group of participants known as the “normative sample” (a.k.a. “norm group”). Then, the scores of all subsequent test-takers are compared to the scores of the norm group. In order for the norm group to be a valid comparison group, it has to be representative of the population who will be taking the test.
So how do we know if the normative sample is representative? When summarizing the psychometric properties of a test, test developers and publishers usually describe the norm group with their demographic variables. Demographic variables are characteristics of the participants like: gender, age, ethnicity, relationship status, socioeconomic status, religious affiliation etc. A description of the normative sample allows examinersto decide if the test of interest can be used with their intended examinees. For example, if the normative sample were 95% male, then you likely could not logically compare their scores to females test takers! That is why readers need to know what the normative sample looks like.
The purpose of the current assignment is for you to provide a verbal (and graphical)description of a fictional normative sample of research participants.
In the Assignment Instructions folder, there is an SPSS data file that will be the basis for your analyses. The data provided are fictional and were created solely for the purposes of our SPSS assignments. This data file includes: 1) demographic information for a normative sample of 428 participants, and 2) participants’ scores on a test called the Center for Epidemiologic Studies Depression Scale (CES-D scale).
The CES-D Scale is utilized to measure symptoms of depression. It is a self-assessment that is completed by the individual. The CES-D contains 20items rated on a 4-point scale (0 = Rarely or None of the Time to 3
1 | P a g e
GPH 747
Current Efforts Assignment
Sample
Submit one document with steps 1 – 5 in order.
1. Determine the inclusion criteria for the papers that you want to use to write this
section.
2. Create a flow chart of the search process (there is no minimum # of articles that should
be used to write the introduction, but you must review at least 15 abstracts).
3. Write your reasons for excluding or selecting the articles in the respective tables.
4. Create an outline
5. Write the current efforts section.
2 | P a g e
Availability of Mental Health Screening for youth in clinics across Harris County, TX
Step1:
Inclusion criteria
These are the characteristics of the papers that will be included in the current efforts section of
my paper:
i. Studies conducted in the US
ii. Quantitative or Qualitative research methods
iii. Focused on adolescents 12 – 21 years old
iv. Papers written on the following topics:
• Mental health screening programs for all ages in Harris Co.
• Costs of screening
• Strengths and limitations of screening procedures
• Use of websites and social media to promote mental health
3 | P a g e
Step 2:
Flowchart (You can provide this information as a table)
List of excluded abstracts:
1. Golzari M, Hunt SJ, Chamberlain LJ. Role of pediatricians as advocates for incarcerated
youth. Pediatrics. 2008;121(2):e397-e398.
2. Golzari M, Kuo A. Healthcare utilization and barriers for youth post-detention. Int J
Adolesc Med Health. 2013;25(1):65-67.
3. Gupta RA, Kelleher KJ, Pajer K, Stevens J, Cuellar A. Delinquent youth in corrections:
Medicaid and reentry into the community. Pediatrics. 2005;115(4):1077-1083.
4. Jacobs F, Oliveri R, Greenstone J, Miranda-Julian C. Massachusetts health passport
project evaluation final report. Medford, MA: Tufts University. 2009.
Number of full text articles
reviewed = 10
Number of studies that met
inclusion criteria = 8
Number of abstracts reviewed =
15
Number of abstracts
excluded = 5
Number of full text
articles excluded = 2
4 | P a g e
5. Martinez J, Bell D, Dodds S, et al. Transitioning youths into care: Linking identified HIV-
infected youth at outreach sites in the community to hospital-based clinics and or
community-based health centers. J Adolesc Health. 2003;33(2):23-30.
List of full text articles excluded:
1. Martinez J, Bell D, Dodds S, et al. Transitioning youths into care: Linking identified HIV-
infected youth at outreach sites in the community to hospital-based clinics and or
community-based health centers. J Adolesc Health. 2003;33(2):23-30.
2. Friedman RA. Uncovering an epidemic—screening for mental illness in teens. N Engl J
Med. 2006;355(26):2717-2719.
List of papers to be used in the article:
1. Ballard ED, Bosk A, Snyder D, et al. Patients' opinions about suicide screening in a
pediatric emergency department. Pedi.
Running head HEALTH PROMOTION IN MINORITY POPULATIONS .docxhealdkathaleen
Running head: HEALTH PROMOTION IN MINORITY POPULATIONS 2
HEALTH PROMOTION IN MINORITY POPULATIONS 2
Health Promotion in Minority Populations
Name
Grand Canyon University, NRS – 429
October ##, 2019
Health Promotion in Minority Populations
This is the introductory paragraph. Remember that the first sentence needs to grab the audience attention. Select an ethnic minority group that is represented in the United States (Some examples are American Indian/Alaskan Native, Asian American, Black/African American, Hispanic/Latino, Native Hawaiian, or Pacific Islander). Using health information available from Healthy People, the CDC, and other relevant government websites, analyze the health status for this group. There will be sources or references used to obtain this information so make certain to do the in-text citations. There will be little content from you. The last sentence is the Thesis Statement. The purpose of this paper is to explain….
Identification and Description of Selected Minority Group
Describe the ethnic minority group selected. Describe the current health status of this group. How do race and ethnicity influence health for this group? This section will be a detailed description of the ethnic minority group is partially presented. Health status for this group is thoroughly discussed. Explanation of how race and ethnicity influence health for this group is clearly presented. A well-developed comparison for how the ethnic minority group compares to the national average is presented.
Health Disparities and Nutritional Challenges for Minority Group
What are the health disparities that exist for this group? What are the nutritional challenges for this group? A thorough discussion of the health disparities and nutritional challenges for this group is clearly presented. All relevant findings related to the ethnic minority group have been included. A well-developed comparison for how the ethnic minority group compares to the national average is presented.
Barriers to Health for Minority Group
Discuss the barriers to health for this group resulting from culture, socioeconomics, education, and sociopolitical factors. Barriers to health for this ethnic minority group resulting from culture, socioeconomics, education, and sociopolitical factors are thoroughly discussed. A well-developed comparison for how the ethnic minority group compares to the national average is presented. Compelling and accurate evidence is provided to support statements.
Health Promotion Activities Practiced by Minority Group
What health promotion activities are often practiced by this group? Health promotion activities practiced by minority groups are accurately identified and described in detail. A well-developed comparison for how the ethnic minority group compares to the national average is presented. Compelling and accurate evidence ...
Learning from a Class Imbalanced Public Health Dataset: a Cost-based Comparis...IJECEIAES
Public health care systems routinely collect health-related data from the population. This data can be analyzed using data mining techniques to find novel, interesting patterns, which could help formulate effective public health policies and interventions. The occurrence of chronic illness is rare in the population and the effect of this class imbalance, on the performance of various classifiers was studied. The objective of this work is to identify the best classifiers for class imbalanced health datasets through a cost-based comparison of classifier performance. The popular, open- source data mining tool WEKA, was used to build a variety of core classifiers as well as classifier ensembles, to evaluate the classifiers‟ performance. The unequal misclassification costs were represented in a cost matrix, and cost-benefit analysis was also performed. In another experiment, various sampling methods such as under-sampling, over-sampling, and SMOTE was performed to balance the class distribution in the dataset, and the costs were compared. The Bayesian classifiers performed well with a high recall, low number of false negatives and were not affected by the class imbalance. Results confirm that total cost of Bayesian classifiers can be further reduced using cost-sensitive learning methods. Classifiers built using the random under-sampled dataset showed a dramatic drop in costs and high classification accuracy.
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1 | P a g e
GPH 747
Current Efforts Assignment
Sample
Submit one document with steps 1 – 5 in order.
1. Determine the inclusion criteria for the papers that you want to use to write this
section.
2. Create a flow chart of the search process (there is no minimum # of articles that should
be used to write the introduction, but you must review at least 15 abstracts).
3. Write your reasons for excluding or selecting the articles in the respective tables.
4. Create an outline
5. Write the current efforts section.
2 | P a g e
Availability of Mental Health Screening for youth in clinics across Harris County, TX
Step1:
Inclusion criteria
These are the characteristics of the papers that will be included in the current efforts section of
my paper:
i. Studies conducted in the US
ii. Quantitative or Qualitative research methods
iii. Focused on adolescents 12 – 21 years old
iv. Papers written on the following topics:
• Mental health screening programs for all ages in Harris Co.
• Costs of screening
• Strengths and limitations of screening procedures
• Use of websites and social media to promote mental health
3 | P a g e
Step 2:
Flowchart (You can provide this information as a table)
List of excluded abstracts:
1. Golzari M, Hunt SJ, Chamberlain LJ. Role of pediatricians as advocates for incarcerated
youth. Pediatrics. 2008;121(2):e397-e398.
2. Golzari M, Kuo A. Healthcare utilization and barriers for youth post-detention. Int J
Adolesc Med Health. 2013;25(1):65-67.
3. Gupta RA, Kelleher KJ, Pajer K, Stevens J, Cuellar A. Delinquent youth in corrections:
Medicaid and reentry into the community. Pediatrics. 2005;115(4):1077-1083.
4. Jacobs F, Oliveri R, Greenstone J, Miranda-Julian C. Massachusetts health passport
project evaluation final report. Medford, MA: Tufts University. 2009.
Number of full text articles
reviewed = 10
Number of studies that met
inclusion criteria = 8
Number of abstracts reviewed =
15
Number of abstracts
excluded = 5
Number of full text
articles excluded = 2
4 | P a g e
5. Martinez J, Bell D, Dodds S, et al. Transitioning youths into care: Linking identified HIV-
infected youth at outreach sites in the community to hospital-based clinics and or
community-based health centers. J Adolesc Health. 2003;33(2):23-30.
List of full text articles excluded:
1. Martinez J, Bell D, Dodds S, et al. Transitioning youths into care: Linking identified HIV-
infected youth at outreach sites in the community to hospital-based clinics and or
community-based health centers. J Adolesc Health. 2003;33(2):23-30.
2. Friedman RA. Uncovering an epidemic—screening for mental illness in teens. N Engl J
Med. 2006;355(26):2717-2719.
List of papers to be used in the article:
1. Ballard ED, Bosk A, Snyder D, et al. Patients' opinions about suicide screening in a
pediatric emergency department. Pedi.
Running head HEALTH PROMOTION IN MINORITY POPULATIONS .docxhealdkathaleen
Running head: HEALTH PROMOTION IN MINORITY POPULATIONS 2
HEALTH PROMOTION IN MINORITY POPULATIONS 2
Health Promotion in Minority Populations
Name
Grand Canyon University, NRS – 429
October ##, 2019
Health Promotion in Minority Populations
This is the introductory paragraph. Remember that the first sentence needs to grab the audience attention. Select an ethnic minority group that is represented in the United States (Some examples are American Indian/Alaskan Native, Asian American, Black/African American, Hispanic/Latino, Native Hawaiian, or Pacific Islander). Using health information available from Healthy People, the CDC, and other relevant government websites, analyze the health status for this group. There will be sources or references used to obtain this information so make certain to do the in-text citations. There will be little content from you. The last sentence is the Thesis Statement. The purpose of this paper is to explain….
Identification and Description of Selected Minority Group
Describe the ethnic minority group selected. Describe the current health status of this group. How do race and ethnicity influence health for this group? This section will be a detailed description of the ethnic minority group is partially presented. Health status for this group is thoroughly discussed. Explanation of how race and ethnicity influence health for this group is clearly presented. A well-developed comparison for how the ethnic minority group compares to the national average is presented.
Health Disparities and Nutritional Challenges for Minority Group
What are the health disparities that exist for this group? What are the nutritional challenges for this group? A thorough discussion of the health disparities and nutritional challenges for this group is clearly presented. All relevant findings related to the ethnic minority group have been included. A well-developed comparison for how the ethnic minority group compares to the national average is presented.
Barriers to Health for Minority Group
Discuss the barriers to health for this group resulting from culture, socioeconomics, education, and sociopolitical factors. Barriers to health for this ethnic minority group resulting from culture, socioeconomics, education, and sociopolitical factors are thoroughly discussed. A well-developed comparison for how the ethnic minority group compares to the national average is presented. Compelling and accurate evidence is provided to support statements.
Health Promotion Activities Practiced by Minority Group
What health promotion activities are often practiced by this group? Health promotion activities practiced by minority groups are accurately identified and described in detail. A well-developed comparison for how the ethnic minority group compares to the national average is presented. Compelling and accurate evidence ...
Learning from a Class Imbalanced Public Health Dataset: a Cost-based Comparis...IJECEIAES
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Uop mha 610 week 6 discussion health and nutritional status new
1. UOP MHA 610 Week 6 Discussion Health and
Nutritional Status NEW
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Health and Nutritional Status
Since 1971, the National Center for Health
Statistics had been assessing the health and
nutritional status of both children and adults in
the United States, through periodic National
Health and Nutritional Examination Survey
(NHANES) surveys. These surveys are an
2. invaluable resource to epidemiological and public
health research; the surveys can be used to
determine the prevalence of major diseases and
risk factors, to assess nutrition and health
promotion, and to guide public health policy.
All initial and peer postings should be at least 250-
500 words in APA format supported by scholarly
sources.
In 2012, the NHANES National Youth Fitness
Survey (NNYFS) was conducted in conjunction with
NHANES to obtain physical activity and fitness
levels of U.S. youths aged 3 through 15. Initial data
from the NNYFS were released in 2013 and serve
as the basis for this discussion problem.
Begin by downloading the Excel file
MHA610_Week
6_Discussion_NNYFS_workingdata.xls. This
workbook was created by merging two datasets
from the NNYFS: the demographic variables
dataset, and the body measures dataset. For the
purposes of this discussion, many variables were
eliminated from the original datasets, as well as
observations with missing data on height and
weight. The Excel workbook thus consists of one
worksheet, with 1576 rows (the first row contains
3. headers, and the next 1575 rows are observed
values for the participants), and 11 columns of
variables. The columns in the Excel file are the
following:
SEQN the respondent sequence number (index for
all the files)
RIAGENDR gender of the participant, 1 = male, 2 =
female
RIDRETH1 race/Hispanic origin:
1 = Mexican American
2 = other Hispanic
3 = non-Hispanic white
4 = non-Hispanic black
5 = other
RIDEXAGY age in years at time of physical exam
INDHHIN2 annual household income, categorized
INDFMIN2 annual family income, categorized
INDFMPIR ratio of family income to poverty, 0 to 5
BMXWT weight, in kg
4. BMXHT height, in cm
BMXBMI body mass index (kg/m^2)
BMDBMIC BMI category:
1 = underweight
2 = normal weight
3 = overweight
4 = obese
. = missing
More detailed descriptions of these variables are
given at the data documentation web pages for the
NNYFS, at
http://www.cdc.gov/nchs/nnyfs/Y_DEMO.htm and
at http://www.cdc.gov/nchs/nnyfs/Y_BMX.htm.
For purposes of this discussion, you are asked to
answer the three following questions:
• Does BMI vary significantly between boys and
girls?
• Does BMI vary significantly among the
racial/ethnic groups?
• Is there any trend to BMI with age?
5. Comments:
There are several ways to address these questions. For example, you might take BMXBMI as your outcome
variable of interest: it is continuous, so you could then perform a two-sample t test for (1), a one way
analysis of variance for (2), and a simple regression analysis (with age as the predictor variable) for (3).
Alternatively, you might reduce the problem to consideration of binomial probabilities: for example, you
could classify everyone as obese or not obese (or maybe, overweight/obese vs underweight/normal), then
compare binomial outcomes for (1) and (2) (z tests with the normal approximation or contingency tables),
and conduct a t test on ages for (3).
Neither approach is wrong—the key is interpreting your findings!
If you prefer to do the analyses in Stat disk, there is a file, MHA610_Week
6_Discussion_NNYFS_workingdata.csv, ready to be read into Stat disk. (It’s the original Excel workbook,
saved as csv.) No need to go through any additional steps, unless you wish to restructure the data in Excel.
Incidentally, the income variables are not needed for these questions, but as a bonus, you might want to
investigate whether obesity is related to socioeconomic status (as reflected by family income).
Guided Response: Respond to at least two of your peers who chose a different of analysis that you by Day 7,
11:59PM. Did you arrive at the same conclusions as your colleague even though you chose different
methods? If so, which method do you think is preferable and why? If not, which method do you believe
produces more credible results and why? (You might consult the text to support your argument.). All initial
and peer postings should be at least 250-500 words in APA format supported by scholarly sources.
6. Comments:
There are several ways to address these questions. For example, you might take BMXBMI as your outcome
variable of interest: it is continuous, so you could then perform a two-sample t test for (1), a one way
analysis of variance for (2), and a simple regression analysis (with age as the predictor variable) for (3).
Alternatively, you might reduce the problem to consideration of binomial probabilities: for example, you
could classify everyone as obese or not obese (or maybe, overweight/obese vs underweight/normal), then
compare binomial outcomes for (1) and (2) (z tests with the normal approximation or contingency tables),
and conduct a t test on ages for (3).
Neither approach is wrong—the key is interpreting your findings!
If you prefer to do the analyses in Stat disk, there is a file, MHA610_Week
6_Discussion_NNYFS_workingdata.csv, ready to be read into Stat disk. (It’s the original Excel workbook,
saved as csv.) No need to go through any additional steps, unless you wish to restructure the data in Excel.
Incidentally, the income variables are not needed for these questions, but as a bonus, you might want to
investigate whether obesity is related to socioeconomic status (as reflected by family income).
Guided Response: Respond to at least two of your peers who chose a different of analysis that you by Day 7,
11:59PM. Did you arrive at the same conclusions as your colleague even though you chose different
methods? If so, which method do you think is preferable and why? If not, which method do you believe
produces more credible results and why? (You might consult the text to support your argument.). All initial
and peer postings should be at least 250-500 words in APA format supported by scholarly sources.