SlideShare a Scribd company logo
Chi Square Presentation
Sruthi
NCHS National Health Interview Survey
Goal: To collect data to measure and monitor the amount, distribution, effects, and risk of illness and
disability in the population and the utilization of health care services for such conditions and barriers to
utilization.
Intended use: For use by the Department of Health and Human Services (DHHS) and the public to monitor
trends in illness and disability and to track progress toward achieving many of the Healthy People objectives
for the nation, and for the public health research community to conduct epidemiologic and policy analysis of
such timely issues as characterizing those with various health problems, determining barriers to accessing
and using health care, and evaluating the impact of changes in federal health programs.
Significance of the project
1. The prevalence of hypertension continues to pose an enormous threat to the
public health in the United States, affecting roughly 30% of the United States
adults aged 18 years or older.
2. “The ‘job strain’ model proposed by Karasek states that the combination of high
job demands and low job decision latitude (high job strain or work stress) will lead
to negative physical health outcomes such as hypertension and cardiovascular
disease.”
3. According to a World Health Organisation publication, hypertension and other
cardiovascular diseases are amongst the main chronic diseases in the developed
and developing countries and consume an important proportion of their public
health budget.
Significance of the project
● Growing evidence from repeated studies have consistently reported a persistent disparity in
hypertension among racial/ethnic groups in United States adults,with non-Hispanic with African
Americans bearing the highest economic costs and disease burden and having the highest risk for
cardiovascular disease and stroke.
● Are African Americans genetically predisposed to hypertension? American Heart Association figures
show that over 40% of African American adults live with chronic hypertension (also known as high blood
pressure), compared to 30% of their white counterparts.
● “Recent evidence suggests that losing a spouse has differential impacts on men’s and women’s
cardiovascular health in older ages. It has been shown that marital disruption is associated with the
onset of cardiovascular disease in middle-aged women but not in men (Zhang & Hayward, 2006).”
● Considering the above facts we were interested to know more about disparities in hypertension by race,
marital status and work.
Research question
Research question 1
H0=Is the proportion of hypertension the same for all race?
H1= Is the proportion of hypertension not the same for the races?
Research question 2
H0=Is the proportion of hypertension the same for married spouse in household versus never married?
H1= Is the proportion of hypertension not the same for married spouse in household versus never married?
Research question 3
H0=Is the proportion of hypertension the same for those who work or ever worked?
H1= Is the proportion of hypertension not same for those who work or ever worked?
Univariate Variable description
OMB groups w/multiple race
01 White only
02 Black/African American only
03 AIAN only
04 Asian only
05 Race group not releasable*
06 Multiple race
Table 1 univariate descriptive statistics of race
Level Count Percentage
1 26524 80%
2 3685 11%
3 357 1%
4 1670 5%
5 105 0%
6 687 2%
Total 33028
Univariate Variable description
Marital Status
1 Married - spouse in household
2 Married - spouse not in household
3 Married - spouse in household unknown
4 Widowed
5 Divorced
6 Separated
7 Never married
8 Living with partner
9 Unknown marital status
Table 2 univariate descriptive statistics of marital status
Level Count Percentage
1 14160 43%
2 576 2%
4 3276 10%
5 4676 14%
6 856 3%
7 7463 23%
8 1953 6%
9 68 0%
Total 33028
Univariate Variable description
Sample adults 18+ years who were NOT working at
a job or business and not looking for work or
looking:
Ever worked
1 Yes
2 No
7 Refused
8 Not ascertained
9 Don't know
Table 3 univariate descriptive statistics of work
Level Count Percentage
yes 12725 90%
no 1476 10%
refused 12 0%
Don't know 1 0%
Total 14214
Univariate Variable description
Amount of people ever told they have hypertension:
1 Yes
2 No
7 Refused
8 Not ascertained
9 Don't know
Table 4 univariate descriptive statistics of
hypertension
Level Count Percentage
1 11664 35%
2 21315 65%
7 21 0%
9 28 0%
Total 33028
Bivariate Statistics description
Table 5 Bivariate statistics showing Who were told that they have
Hypertension by race
Level Count Percentage
White only 9182 79%
Black American only 1667 14%
AIAN only 116 1%
Asian only 457 4%
Race group not releasable 34 0%
Multiple race 208 2%
Total 11664
Table 6 Bivariate statistics showing Who were told that they
don't have hypertension by race
Level Count Percentage
White only 17302 81%
Black only 2015 9%
AIAN only 240 1%
Asian only 1210 6%
Race group not releasable 70 0%
Multiple race 478 2%
Total 21315
Bivariate Statistics
Table 7 Bivariate statistics showing Who were told that they have
Hypertension by ever work
Who were NOT working at a job or business and not looking for work or
looking
Level Count Percentage
Yes 6604 93%
No 491 7%
Not ascertained 3 0%
Don’t know 1 0%
Total 7099
Table 8 Bivariate statistics showing Who were told that they
don't have hypertension by ever work
Level Count Percentage
yes 6096 86%
no 981 14%
refused 7 0%
Total 7084
Bivariate Statistics
Table 9 Bivariate statistics showing Who were told that they have
Hypertension by Marital status
Level Count Percentage
Married - spouse in household 4966 43%
Married - spouse not in household 195 2%
Widowed 2051 18%
Divorced 2127 18%
Separated 359 3%
Never married 1484 13%
Living with partner 461 4%
Unknown marital status 21 0%
Total 11664
Table 10 Bivariate statistics showing Who were told that they
don't have hypertension by Marital status
Level Count Percentage
Married - spouse in household 9177 43%
Married - spouse not in household 379 2%
Widowed 1220 6%
Divorced 2540 12%
Separated 494 2%
Never married 5969 28%
Living with partner 1490 7%
Unknown marital status 46 0%
Total 21315
Contingency Analysis of Hypertension By Race
Fig 1 Mosaic plot HYPEv /Race Tests
N DF -LogLike RSquare (U)
33028 15 111.79 0.0051
ChiSquare Prob>ChiSq
Likelihood Ratio 223.59 <.0001
Pearson 232.86 <.0001
The pearson value is <0.05,There is a significant
difference between of hypertension by race
Fig2.Contingency Analysis of Hypertension By Race
Where are those differences ?
In this case,White,Black,Asian and multiple race
by hypertension has the chi square cell >1.96.
Black American, people have more hypertension
compared with other race.The actual count of
Black american are more than the expected count.
Contingency Analysis of Hypertension By Race
Result APA Format
The percentage of people with hypertension differ by race,(15,33028)=223.59,p<0.001
Is there an association? Yes
Value STd error Lower 95% Upper 9%
Kendall's Tau-b -0.0205 0.0054 -0.03 -0.010
Here the confidence interval do not include 0, its statistically significant.
Contingency Analysis of Hypertension by Marital Status
Fig 3 Mosaic Plot hypev/r-marital Tests
N DF -LogLike RSquare (U)
33028 21 1112.8959 0.0510
ChiSquare Prob>ChiSq
Likelihood Ratio 2225.792 <.0001
Pearson 2232.123 <.0001
The pearson value is <0.05,There is a significant
difference between of hypertension by marital
status.
Fig 4 Contingency Analysis of Hypertension by Marital Status
Where are those differences ?
In this case, widowed,divorced,separated,never married
and living with partner by hypertension has the chi
square cell >1.96 .
Widowed people have higher rate of hypertension
compared with other marital status. The actual count is
more expected count?
Contingency Analysis of Hypertension by Marital Status
Result APA
The percentage of people with hypertension differ by marital status(21,33028)=2225.7,p<0.001
Is there an association?
Yes.
Value Std err Lower 95% Upper 95%
Kendall's Tau-b 0.085 0.0048 0.076 0.095
Here the confidence interval do not include 0, its statistically significant.
Contingency Analysis of Hypertension by Everwork
Fig 5 Mosaic plot Hypertension/ everwork
Test
N DF -LogLike RSquare (U)
14214 9 102.10262 0.0101
Test ChiSquare Prob>ChiSq
Likelihood Ratio 204.205 <.0001
Pearson 343.874 <.0001
Fig 6 Contingency Analysis of Hypertension by Marital Ever work
Where are those differences ?
In this case, everwork yes and everwork no by
hypertension the cell chi square is>1.96.
The ever work yes had an expected amount that
was less than the the total amount.
The ever work no had an expected was more than
the total amount.
Contingency Analysis of Hypertension by Marital Ever work
.Result APA
The percentage of people with hypertension differ by Everwork(9,14214)=201.205,p<0.001.
Is there an association?
Yes
Value Stderr Lower 95% Upper 95%
Kendall's Tau-b 0.1144 0.0081 0.0986 0.1302
Here the confidence interval do not include 0, its statistically significant.
.Compare one of your research questions, ideally this would be a statistically significant
association, to results from the research you presented above. Are your findings supported?
Research question
The proportion of hypertension is not same for all race.
Yes,our finding support the fact that black race, do suffer from more
proportion of hypertension compared with white race.
The prevalence of Hypertension is more for black when compared with other race
Fig7. Contingency table
Hypertension/race
Reference
Schwandt, H. M., Coresh, J., & Hindin, M. J. (2010). Marital Status, Hypertension, Coronary Heart Disease, Diabetes, and Death
Among African American Women and Men: Incidence and Prevalence in the Atherosclerosis Risk in Communities (ARIC) Study
Participants. Journal of Family Issues, 31(9), 1211–1229. http://doi.org/10.1177/0192513X10365487
Mezuk, B., Kershaw, K. N., Hudson, D., Lim, K. A., & Ratliff, S. (2011). Job Strain, Workplace Discrimination, and Hypertension among
Older Workers: The Health and Retirement Study. Race and Social Problems, 3(1), 38–50. http://doi.org/10.1007/s12552-011-9041-7
Schwandt, H. M., Coresh, J., & Hindin, M. J. (2010). Marital Status, Hypertension, Coronary Heart Disease, Diabetes, and Death
Among African American Women and Men: Incidence and Prevalence in the Atherosclerosis Risk in Communities (ARIC) Study
Participants. Journal of Family Issues, 31(9), 1211–1229. http://doi.org/10.1177/0192513X10365487

More Related Content

What's hot

The Use of Artificial Neural Network and Logistic Regression to Predict the I...
The Use of Artificial Neural Network and Logistic Regression to Predict the I...The Use of Artificial Neural Network and Logistic Regression to Predict the I...
The Use of Artificial Neural Network and Logistic Regression to Predict the I...
Crimsonpublisherscojnh
 
How to relationship between body wight and pre diabetes
How to relationship between body wight and pre diabetesHow to relationship between body wight and pre diabetes
How to relationship between body wight and pre diabetes
Shantha Lokuge
 
Maths final report compilation statistics
Maths final report compilation statisticsMaths final report compilation statistics
Maths final report compilation statistics
Madeline Liew
 
Maths final compilation Statistic project
Maths final compilation Statistic projectMaths final compilation Statistic project
Maths final compilation Statistic project
christinelee1996
 
Ruchi Pancholy Dengue PPT
Ruchi Pancholy Dengue PPTRuchi Pancholy Dengue PPT
Ruchi Pancholy Dengue PPT
Ruchi Pancholy, REHS
 
Is cardiovascular screening the best option for reducing future cardiovascula...
Is cardiovascular screening the best option for reducing future cardiovascula...Is cardiovascular screening the best option for reducing future cardiovascula...
Is cardiovascular screening the best option for reducing future cardiovascula...
UKFacultyPublicHealth
 
Imjh april-2015-4
Imjh april-2015-4Imjh april-2015-4
Richer but poorer in health? The income gradient in chronic conditions: evide...
Richer but poorer in health? The income gradient in chronic conditions: evide...Richer but poorer in health? The income gradient in chronic conditions: evide...
Richer but poorer in health? The income gradient in chronic conditions: evide...
cheweb1
 
Heart disease in indians
Heart disease in indiansHeart disease in indians
Heart disease in indians
Kpras Prasanna
 
Maths statistics report
Maths statistics reportMaths statistics report
Maths statistics report
ashleyyeap
 
Maths survey report
Maths survey reportMaths survey report
Maths survey report
Peishann97
 
Microalbuminuria in Saudi Adults with Type 1 Diabetes Mellitus_Crimson Publis...
Microalbuminuria in Saudi Adults with Type 1 Diabetes Mellitus_Crimson Publis...Microalbuminuria in Saudi Adults with Type 1 Diabetes Mellitus_Crimson Publis...
Microalbuminuria in Saudi Adults with Type 1 Diabetes Mellitus_Crimson Publis...
CrimsonPublishersIOD
 
Predicting Trends in Preventive Care Service Utilization Impacting Cardiovasc...
Predicting Trends in Preventive Care Service Utilization Impacting Cardiovasc...Predicting Trends in Preventive Care Service Utilization Impacting Cardiovasc...
Predicting Trends in Preventive Care Service Utilization Impacting Cardiovasc...
gpartha85
 
Comparison of Aspirin and Clopidogrel
Comparison of Aspirin and ClopidogrelComparison of Aspirin and Clopidogrel
Comparison of Aspirin and Clopidogrel
HeniOala
 
Be prepared
Be preparedBe prepared
Be prepared
Jacquie Mercer
 
Das: Physical Health in the In-Patient Mental Health Setting
Das: Physical Health in the In-Patient Mental Health SettingDas: Physical Health in the In-Patient Mental Health Setting
Das: Physical Health in the In-Patient Mental Health Setting
henkpar
 

What's hot (16)

The Use of Artificial Neural Network and Logistic Regression to Predict the I...
The Use of Artificial Neural Network and Logistic Regression to Predict the I...The Use of Artificial Neural Network and Logistic Regression to Predict the I...
The Use of Artificial Neural Network and Logistic Regression to Predict the I...
 
How to relationship between body wight and pre diabetes
How to relationship between body wight and pre diabetesHow to relationship between body wight and pre diabetes
How to relationship between body wight and pre diabetes
 
Maths final report compilation statistics
Maths final report compilation statisticsMaths final report compilation statistics
Maths final report compilation statistics
 
Maths final compilation Statistic project
Maths final compilation Statistic projectMaths final compilation Statistic project
Maths final compilation Statistic project
 
Ruchi Pancholy Dengue PPT
Ruchi Pancholy Dengue PPTRuchi Pancholy Dengue PPT
Ruchi Pancholy Dengue PPT
 
Is cardiovascular screening the best option for reducing future cardiovascula...
Is cardiovascular screening the best option for reducing future cardiovascula...Is cardiovascular screening the best option for reducing future cardiovascula...
Is cardiovascular screening the best option for reducing future cardiovascula...
 
Imjh april-2015-4
Imjh april-2015-4Imjh april-2015-4
Imjh april-2015-4
 
Richer but poorer in health? The income gradient in chronic conditions: evide...
Richer but poorer in health? The income gradient in chronic conditions: evide...Richer but poorer in health? The income gradient in chronic conditions: evide...
Richer but poorer in health? The income gradient in chronic conditions: evide...
 
Heart disease in indians
Heart disease in indiansHeart disease in indians
Heart disease in indians
 
Maths statistics report
Maths statistics reportMaths statistics report
Maths statistics report
 
Maths survey report
Maths survey reportMaths survey report
Maths survey report
 
Microalbuminuria in Saudi Adults with Type 1 Diabetes Mellitus_Crimson Publis...
Microalbuminuria in Saudi Adults with Type 1 Diabetes Mellitus_Crimson Publis...Microalbuminuria in Saudi Adults with Type 1 Diabetes Mellitus_Crimson Publis...
Microalbuminuria in Saudi Adults with Type 1 Diabetes Mellitus_Crimson Publis...
 
Predicting Trends in Preventive Care Service Utilization Impacting Cardiovasc...
Predicting Trends in Preventive Care Service Utilization Impacting Cardiovasc...Predicting Trends in Preventive Care Service Utilization Impacting Cardiovasc...
Predicting Trends in Preventive Care Service Utilization Impacting Cardiovasc...
 
Comparison of Aspirin and Clopidogrel
Comparison of Aspirin and ClopidogrelComparison of Aspirin and Clopidogrel
Comparison of Aspirin and Clopidogrel
 
Be prepared
Be preparedBe prepared
Be prepared
 
Das: Physical Health in the In-Patient Mental Health Setting
Das: Physical Health in the In-Patient Mental Health SettingDas: Physical Health in the In-Patient Mental Health Setting
Das: Physical Health in the In-Patient Mental Health Setting
 

Similar to Chi square presentation

Statistical analysis of risk factors associated with
Statistical analysis of risk factors associated withStatistical analysis of risk factors associated with
Statistical analysis of risk factors associated with
anamjavaid13
 
Statistical analysis of risk factors associated with
Statistical analysis of risk factors associated withStatistical analysis of risk factors associated with
Statistical analysis of risk factors associated with
anamjavaid13
 
Depression and diabetes by Dr Shahjada Selim
Depression and diabetes by Dr Shahjada SelimDepression and diabetes by Dr Shahjada Selim
Depression and diabetes by Dr Shahjada Selim
Bangabandhu Sheikh Mujib Medical University
 
Regression Analysis Poster
Regression Analysis PosterRegression Analysis Poster
Regression Analysis Poster
Cindy Villamil
 
Copyright 2016 American Medical Association. All rights reserv.docx
Copyright 2016 American Medical Association. All rights reserv.docxCopyright 2016 American Medical Association. All rights reserv.docx
Copyright 2016 American Medical Association. All rights reserv.docx
melvinjrobinson2199
 
Copyright 2016 American Medical Association. All rights reserv.docx
Copyright 2016 American Medical Association. All rights reserv.docxCopyright 2016 American Medical Association. All rights reserv.docx
Copyright 2016 American Medical Association. All rights reserv.docx
bobbywlane695641
 
Knowledge, attitude and practice about hypertension among adult
Knowledge, attitude and practice about hypertension among adultKnowledge, attitude and practice about hypertension among adult
Knowledge, attitude and practice about hypertension among adult
Md.Nahian Rahman
 
ueda2013 primary prevention-d.lobna
ueda2013 primary prevention-d.lobnaueda2013 primary prevention-d.lobna
ueda2013 primary prevention-d.lobna
ueda2015
 
Epidemiology of Hypertension among Adults in Al-Azhary Area in Khartoum-State...
Epidemiology of Hypertension among Adults in Al-Azhary Area in Khartoum-State...Epidemiology of Hypertension among Adults in Al-Azhary Area in Khartoum-State...
Epidemiology of Hypertension among Adults in Al-Azhary Area in Khartoum-State...
inventionjournals
 
Smoking hazards
Smoking hazardsSmoking hazards
Smoking hazards
guest3f9e486
 
A prevalence of common risk factors of hypertension among young generation li...
A prevalence of common risk factors of hypertension among young generation li...A prevalence of common risk factors of hypertension among young generation li...
A prevalence of common risk factors of hypertension among young generation li...
SriramNagarajan16
 
PATH Report Northeast_NHS_UK
PATH Report Northeast_NHS_UKPATH Report Northeast_NHS_UK
PATH Report Northeast_NHS_UK
Frederick Navarro
 
Debate evidence bases guideline elliott
Debate evidence bases guideline elliottDebate evidence bases guideline elliott
Debate evidence bases guideline elliott
drucsamal
 
Oscillometric Blood Pressure Limits
Oscillometric Blood Pressure LimitsOscillometric Blood Pressure Limits
Oscillometric Blood Pressure Limits
cynthiamonster
 
CV journal Club
CV journal ClubCV journal Club
CV journal Club
Jade Abudia
 
Medical Statistics Pt 1
Medical Statistics Pt 1Medical Statistics Pt 1
Medical Statistics Pt 1
Fastbleep
 
CA_medicationadherence
CA_medicationadherenceCA_medicationadherence
CA_medicationadherence
Catherine Allende
 
International Journal of Gerontology & Geriatric Research
International Journal of Gerontology & Geriatric ResearchInternational Journal of Gerontology & Geriatric Research
International Journal of Gerontology & Geriatric Research
SciRes Literature LLC. | Open Access Journals
 
Comparative study to assess the Effect of Standing Position & Sitting Positio...
Comparative study to assess the Effect of Standing Position & Sitting Positio...Comparative study to assess the Effect of Standing Position & Sitting Positio...
Comparative study to assess the Effect of Standing Position & Sitting Positio...
Kailash Nagar
 
117th publication sjm- 6th name
117th publication  sjm- 6th name117th publication  sjm- 6th name
117th publication sjm- 6th name
CLOVE Dental OMNI Hospitals Andhra Hospital
 

Similar to Chi square presentation (20)

Statistical analysis of risk factors associated with
Statistical analysis of risk factors associated withStatistical analysis of risk factors associated with
Statistical analysis of risk factors associated with
 
Statistical analysis of risk factors associated with
Statistical analysis of risk factors associated withStatistical analysis of risk factors associated with
Statistical analysis of risk factors associated with
 
Depression and diabetes by Dr Shahjada Selim
Depression and diabetes by Dr Shahjada SelimDepression and diabetes by Dr Shahjada Selim
Depression and diabetes by Dr Shahjada Selim
 
Regression Analysis Poster
Regression Analysis PosterRegression Analysis Poster
Regression Analysis Poster
 
Copyright 2016 American Medical Association. All rights reserv.docx
Copyright 2016 American Medical Association. All rights reserv.docxCopyright 2016 American Medical Association. All rights reserv.docx
Copyright 2016 American Medical Association. All rights reserv.docx
 
Copyright 2016 American Medical Association. All rights reserv.docx
Copyright 2016 American Medical Association. All rights reserv.docxCopyright 2016 American Medical Association. All rights reserv.docx
Copyright 2016 American Medical Association. All rights reserv.docx
 
Knowledge, attitude and practice about hypertension among adult
Knowledge, attitude and practice about hypertension among adultKnowledge, attitude and practice about hypertension among adult
Knowledge, attitude and practice about hypertension among adult
 
ueda2013 primary prevention-d.lobna
ueda2013 primary prevention-d.lobnaueda2013 primary prevention-d.lobna
ueda2013 primary prevention-d.lobna
 
Epidemiology of Hypertension among Adults in Al-Azhary Area in Khartoum-State...
Epidemiology of Hypertension among Adults in Al-Azhary Area in Khartoum-State...Epidemiology of Hypertension among Adults in Al-Azhary Area in Khartoum-State...
Epidemiology of Hypertension among Adults in Al-Azhary Area in Khartoum-State...
 
Smoking hazards
Smoking hazardsSmoking hazards
Smoking hazards
 
A prevalence of common risk factors of hypertension among young generation li...
A prevalence of common risk factors of hypertension among young generation li...A prevalence of common risk factors of hypertension among young generation li...
A prevalence of common risk factors of hypertension among young generation li...
 
PATH Report Northeast_NHS_UK
PATH Report Northeast_NHS_UKPATH Report Northeast_NHS_UK
PATH Report Northeast_NHS_UK
 
Debate evidence bases guideline elliott
Debate evidence bases guideline elliottDebate evidence bases guideline elliott
Debate evidence bases guideline elliott
 
Oscillometric Blood Pressure Limits
Oscillometric Blood Pressure LimitsOscillometric Blood Pressure Limits
Oscillometric Blood Pressure Limits
 
CV journal Club
CV journal ClubCV journal Club
CV journal Club
 
Medical Statistics Pt 1
Medical Statistics Pt 1Medical Statistics Pt 1
Medical Statistics Pt 1
 
CA_medicationadherence
CA_medicationadherenceCA_medicationadherence
CA_medicationadherence
 
International Journal of Gerontology & Geriatric Research
International Journal of Gerontology & Geriatric ResearchInternational Journal of Gerontology & Geriatric Research
International Journal of Gerontology & Geriatric Research
 
Comparative study to assess the Effect of Standing Position & Sitting Positio...
Comparative study to assess the Effect of Standing Position & Sitting Positio...Comparative study to assess the Effect of Standing Position & Sitting Positio...
Comparative study to assess the Effect of Standing Position & Sitting Positio...
 
117th publication sjm- 6th name
117th publication  sjm- 6th name117th publication  sjm- 6th name
117th publication sjm- 6th name
 

Recently uploaded

The Building Blocks of QuestDB, a Time Series Database
The Building Blocks of QuestDB, a Time Series DatabaseThe Building Blocks of QuestDB, a Time Series Database
The Building Blocks of QuestDB, a Time Series Database
javier ramirez
 
一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理
一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理
一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理
ahzuo
 
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
Social Samosa
 
The Ipsos - AI - Monitor 2024 Report.pdf
The  Ipsos - AI - Monitor 2024 Report.pdfThe  Ipsos - AI - Monitor 2024 Report.pdf
The Ipsos - AI - Monitor 2024 Report.pdf
Social Samosa
 
一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理
一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理
一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理
nuttdpt
 
Global Situational Awareness of A.I. and where its headed
Global Situational Awareness of A.I. and where its headedGlobal Situational Awareness of A.I. and where its headed
Global Situational Awareness of A.I. and where its headed
vikram sood
 
一比一原版(UO毕业证)渥太华大学毕业证如何办理
一比一原版(UO毕业证)渥太华大学毕业证如何办理一比一原版(UO毕业证)渥太华大学毕业证如何办理
一比一原版(UO毕业证)渥太华大学毕业证如何办理
aqzctr7x
 
原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样
原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样
原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样
u86oixdj
 
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
sameer shah
 
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...
Aggregage
 
Challenges of Nation Building-1.pptx with more important
Challenges of Nation Building-1.pptx with more importantChallenges of Nation Building-1.pptx with more important
Challenges of Nation Building-1.pptx with more important
Sm321
 
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
nuttdpt
 
一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理
一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理
一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理
nyfuhyz
 
原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样
原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样
原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样
u86oixdj
 
Analysis insight about a Flyball dog competition team's performance
Analysis insight about a Flyball dog competition team's performanceAnalysis insight about a Flyball dog competition team's performance
Analysis insight about a Flyball dog competition team's performance
roli9797
 
一比一原版(CBU毕业证)卡普顿大学毕业证如何办理
一比一原版(CBU毕业证)卡普顿大学毕业证如何办理一比一原版(CBU毕业证)卡普顿大学毕业证如何办理
一比一原版(CBU毕业证)卡普顿大学毕业证如何办理
ahzuo
 
一比一原版(GWU,GW文凭证书)乔治·华盛顿大学毕业证如何办理
一比一原版(GWU,GW文凭证书)乔治·华盛顿大学毕业证如何办理一比一原版(GWU,GW文凭证书)乔治·华盛顿大学毕业证如何办理
一比一原版(GWU,GW文凭证书)乔治·华盛顿大学毕业证如何办理
bopyb
 
一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理
一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理
一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理
mbawufebxi
 
一比一原版(Glasgow毕业证书)格拉斯哥大学毕业证如何办理
一比一原版(Glasgow毕业证书)格拉斯哥大学毕业证如何办理一比一原版(Glasgow毕业证书)格拉斯哥大学毕业证如何办理
一比一原版(Glasgow毕业证书)格拉斯哥大学毕业证如何办理
g4dpvqap0
 
一比一原版(Chester毕业证书)切斯特大学毕业证如何办理
一比一原版(Chester毕业证书)切斯特大学毕业证如何办理一比一原版(Chester毕业证书)切斯特大学毕业证如何办理
一比一原版(Chester毕业证书)切斯特大学毕业证如何办理
74nqk8xf
 

Recently uploaded (20)

The Building Blocks of QuestDB, a Time Series Database
The Building Blocks of QuestDB, a Time Series DatabaseThe Building Blocks of QuestDB, a Time Series Database
The Building Blocks of QuestDB, a Time Series Database
 
一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理
一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理
一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理
 
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
 
The Ipsos - AI - Monitor 2024 Report.pdf
The  Ipsos - AI - Monitor 2024 Report.pdfThe  Ipsos - AI - Monitor 2024 Report.pdf
The Ipsos - AI - Monitor 2024 Report.pdf
 
一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理
一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理
一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理
 
Global Situational Awareness of A.I. and where its headed
Global Situational Awareness of A.I. and where its headedGlobal Situational Awareness of A.I. and where its headed
Global Situational Awareness of A.I. and where its headed
 
一比一原版(UO毕业证)渥太华大学毕业证如何办理
一比一原版(UO毕业证)渥太华大学毕业证如何办理一比一原版(UO毕业证)渥太华大学毕业证如何办理
一比一原版(UO毕业证)渥太华大学毕业证如何办理
 
原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样
原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样
原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样
 
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
 
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...
 
Challenges of Nation Building-1.pptx with more important
Challenges of Nation Building-1.pptx with more importantChallenges of Nation Building-1.pptx with more important
Challenges of Nation Building-1.pptx with more important
 
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
 
一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理
一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理
一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理
 
原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样
原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样
原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样
 
Analysis insight about a Flyball dog competition team's performance
Analysis insight about a Flyball dog competition team's performanceAnalysis insight about a Flyball dog competition team's performance
Analysis insight about a Flyball dog competition team's performance
 
一比一原版(CBU毕业证)卡普顿大学毕业证如何办理
一比一原版(CBU毕业证)卡普顿大学毕业证如何办理一比一原版(CBU毕业证)卡普顿大学毕业证如何办理
一比一原版(CBU毕业证)卡普顿大学毕业证如何办理
 
一比一原版(GWU,GW文凭证书)乔治·华盛顿大学毕业证如何办理
一比一原版(GWU,GW文凭证书)乔治·华盛顿大学毕业证如何办理一比一原版(GWU,GW文凭证书)乔治·华盛顿大学毕业证如何办理
一比一原版(GWU,GW文凭证书)乔治·华盛顿大学毕业证如何办理
 
一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理
一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理
一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理
 
一比一原版(Glasgow毕业证书)格拉斯哥大学毕业证如何办理
一比一原版(Glasgow毕业证书)格拉斯哥大学毕业证如何办理一比一原版(Glasgow毕业证书)格拉斯哥大学毕业证如何办理
一比一原版(Glasgow毕业证书)格拉斯哥大学毕业证如何办理
 
一比一原版(Chester毕业证书)切斯特大学毕业证如何办理
一比一原版(Chester毕业证书)切斯特大学毕业证如何办理一比一原版(Chester毕业证书)切斯特大学毕业证如何办理
一比一原版(Chester毕业证书)切斯特大学毕业证如何办理
 

Chi square presentation

  • 2. NCHS National Health Interview Survey Goal: To collect data to measure and monitor the amount, distribution, effects, and risk of illness and disability in the population and the utilization of health care services for such conditions and barriers to utilization. Intended use: For use by the Department of Health and Human Services (DHHS) and the public to monitor trends in illness and disability and to track progress toward achieving many of the Healthy People objectives for the nation, and for the public health research community to conduct epidemiologic and policy analysis of such timely issues as characterizing those with various health problems, determining barriers to accessing and using health care, and evaluating the impact of changes in federal health programs.
  • 3. Significance of the project 1. The prevalence of hypertension continues to pose an enormous threat to the public health in the United States, affecting roughly 30% of the United States adults aged 18 years or older. 2. “The ‘job strain’ model proposed by Karasek states that the combination of high job demands and low job decision latitude (high job strain or work stress) will lead to negative physical health outcomes such as hypertension and cardiovascular disease.” 3. According to a World Health Organisation publication, hypertension and other cardiovascular diseases are amongst the main chronic diseases in the developed and developing countries and consume an important proportion of their public health budget.
  • 4. Significance of the project ● Growing evidence from repeated studies have consistently reported a persistent disparity in hypertension among racial/ethnic groups in United States adults,with non-Hispanic with African Americans bearing the highest economic costs and disease burden and having the highest risk for cardiovascular disease and stroke. ● Are African Americans genetically predisposed to hypertension? American Heart Association figures show that over 40% of African American adults live with chronic hypertension (also known as high blood pressure), compared to 30% of their white counterparts. ● “Recent evidence suggests that losing a spouse has differential impacts on men’s and women’s cardiovascular health in older ages. It has been shown that marital disruption is associated with the onset of cardiovascular disease in middle-aged women but not in men (Zhang & Hayward, 2006).” ● Considering the above facts we were interested to know more about disparities in hypertension by race, marital status and work.
  • 5. Research question Research question 1 H0=Is the proportion of hypertension the same for all race? H1= Is the proportion of hypertension not the same for the races? Research question 2 H0=Is the proportion of hypertension the same for married spouse in household versus never married? H1= Is the proportion of hypertension not the same for married spouse in household versus never married? Research question 3 H0=Is the proportion of hypertension the same for those who work or ever worked? H1= Is the proportion of hypertension not same for those who work or ever worked?
  • 6. Univariate Variable description OMB groups w/multiple race 01 White only 02 Black/African American only 03 AIAN only 04 Asian only 05 Race group not releasable* 06 Multiple race Table 1 univariate descriptive statistics of race Level Count Percentage 1 26524 80% 2 3685 11% 3 357 1% 4 1670 5% 5 105 0% 6 687 2% Total 33028
  • 7. Univariate Variable description Marital Status 1 Married - spouse in household 2 Married - spouse not in household 3 Married - spouse in household unknown 4 Widowed 5 Divorced 6 Separated 7 Never married 8 Living with partner 9 Unknown marital status Table 2 univariate descriptive statistics of marital status Level Count Percentage 1 14160 43% 2 576 2% 4 3276 10% 5 4676 14% 6 856 3% 7 7463 23% 8 1953 6% 9 68 0% Total 33028
  • 8. Univariate Variable description Sample adults 18+ years who were NOT working at a job or business and not looking for work or looking: Ever worked 1 Yes 2 No 7 Refused 8 Not ascertained 9 Don't know Table 3 univariate descriptive statistics of work Level Count Percentage yes 12725 90% no 1476 10% refused 12 0% Don't know 1 0% Total 14214
  • 9. Univariate Variable description Amount of people ever told they have hypertension: 1 Yes 2 No 7 Refused 8 Not ascertained 9 Don't know Table 4 univariate descriptive statistics of hypertension Level Count Percentage 1 11664 35% 2 21315 65% 7 21 0% 9 28 0% Total 33028
  • 10. Bivariate Statistics description Table 5 Bivariate statistics showing Who were told that they have Hypertension by race Level Count Percentage White only 9182 79% Black American only 1667 14% AIAN only 116 1% Asian only 457 4% Race group not releasable 34 0% Multiple race 208 2% Total 11664 Table 6 Bivariate statistics showing Who were told that they don't have hypertension by race Level Count Percentage White only 17302 81% Black only 2015 9% AIAN only 240 1% Asian only 1210 6% Race group not releasable 70 0% Multiple race 478 2% Total 21315
  • 11. Bivariate Statistics Table 7 Bivariate statistics showing Who were told that they have Hypertension by ever work Who were NOT working at a job or business and not looking for work or looking Level Count Percentage Yes 6604 93% No 491 7% Not ascertained 3 0% Don’t know 1 0% Total 7099 Table 8 Bivariate statistics showing Who were told that they don't have hypertension by ever work Level Count Percentage yes 6096 86% no 981 14% refused 7 0% Total 7084
  • 12. Bivariate Statistics Table 9 Bivariate statistics showing Who were told that they have Hypertension by Marital status Level Count Percentage Married - spouse in household 4966 43% Married - spouse not in household 195 2% Widowed 2051 18% Divorced 2127 18% Separated 359 3% Never married 1484 13% Living with partner 461 4% Unknown marital status 21 0% Total 11664 Table 10 Bivariate statistics showing Who were told that they don't have hypertension by Marital status Level Count Percentage Married - spouse in household 9177 43% Married - spouse not in household 379 2% Widowed 1220 6% Divorced 2540 12% Separated 494 2% Never married 5969 28% Living with partner 1490 7% Unknown marital status 46 0% Total 21315
  • 13. Contingency Analysis of Hypertension By Race Fig 1 Mosaic plot HYPEv /Race Tests N DF -LogLike RSquare (U) 33028 15 111.79 0.0051 ChiSquare Prob>ChiSq Likelihood Ratio 223.59 <.0001 Pearson 232.86 <.0001 The pearson value is <0.05,There is a significant difference between of hypertension by race
  • 14. Fig2.Contingency Analysis of Hypertension By Race Where are those differences ? In this case,White,Black,Asian and multiple race by hypertension has the chi square cell >1.96. Black American, people have more hypertension compared with other race.The actual count of Black american are more than the expected count.
  • 15. Contingency Analysis of Hypertension By Race Result APA Format The percentage of people with hypertension differ by race,(15,33028)=223.59,p<0.001 Is there an association? Yes Value STd error Lower 95% Upper 9% Kendall's Tau-b -0.0205 0.0054 -0.03 -0.010 Here the confidence interval do not include 0, its statistically significant.
  • 16. Contingency Analysis of Hypertension by Marital Status Fig 3 Mosaic Plot hypev/r-marital Tests N DF -LogLike RSquare (U) 33028 21 1112.8959 0.0510 ChiSquare Prob>ChiSq Likelihood Ratio 2225.792 <.0001 Pearson 2232.123 <.0001 The pearson value is <0.05,There is a significant difference between of hypertension by marital status.
  • 17. Fig 4 Contingency Analysis of Hypertension by Marital Status Where are those differences ? In this case, widowed,divorced,separated,never married and living with partner by hypertension has the chi square cell >1.96 . Widowed people have higher rate of hypertension compared with other marital status. The actual count is more expected count?
  • 18. Contingency Analysis of Hypertension by Marital Status Result APA The percentage of people with hypertension differ by marital status(21,33028)=2225.7,p<0.001 Is there an association? Yes. Value Std err Lower 95% Upper 95% Kendall's Tau-b 0.085 0.0048 0.076 0.095 Here the confidence interval do not include 0, its statistically significant.
  • 19. Contingency Analysis of Hypertension by Everwork Fig 5 Mosaic plot Hypertension/ everwork Test N DF -LogLike RSquare (U) 14214 9 102.10262 0.0101 Test ChiSquare Prob>ChiSq Likelihood Ratio 204.205 <.0001 Pearson 343.874 <.0001
  • 20. Fig 6 Contingency Analysis of Hypertension by Marital Ever work Where are those differences ? In this case, everwork yes and everwork no by hypertension the cell chi square is>1.96. The ever work yes had an expected amount that was less than the the total amount. The ever work no had an expected was more than the total amount.
  • 21. Contingency Analysis of Hypertension by Marital Ever work .Result APA The percentage of people with hypertension differ by Everwork(9,14214)=201.205,p<0.001. Is there an association? Yes Value Stderr Lower 95% Upper 95% Kendall's Tau-b 0.1144 0.0081 0.0986 0.1302 Here the confidence interval do not include 0, its statistically significant.
  • 22. .Compare one of your research questions, ideally this would be a statistically significant association, to results from the research you presented above. Are your findings supported? Research question The proportion of hypertension is not same for all race. Yes,our finding support the fact that black race, do suffer from more proportion of hypertension compared with white race. The prevalence of Hypertension is more for black when compared with other race Fig7. Contingency table Hypertension/race
  • 23. Reference Schwandt, H. M., Coresh, J., & Hindin, M. J. (2010). Marital Status, Hypertension, Coronary Heart Disease, Diabetes, and Death Among African American Women and Men: Incidence and Prevalence in the Atherosclerosis Risk in Communities (ARIC) Study Participants. Journal of Family Issues, 31(9), 1211–1229. http://doi.org/10.1177/0192513X10365487 Mezuk, B., Kershaw, K. N., Hudson, D., Lim, K. A., & Ratliff, S. (2011). Job Strain, Workplace Discrimination, and Hypertension among Older Workers: The Health and Retirement Study. Race and Social Problems, 3(1), 38–50. http://doi.org/10.1007/s12552-011-9041-7 Schwandt, H. M., Coresh, J., & Hindin, M. J. (2010). Marital Status, Hypertension, Coronary Heart Disease, Diabetes, and Death Among African American Women and Men: Incidence and Prevalence in the Atherosclerosis Risk in Communities (ARIC) Study Participants. Journal of Family Issues, 31(9), 1211–1229. http://doi.org/10.1177/0192513X10365487