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The Development And Psychometric Testing Of A Hypertension Knowledge Instrument In A Vulnerable Population, Crescent Elayne Rowell Dec 2010

The Development And Psychometric Testing Of A Hypertension Knowledge Instrument In A Vulnerable Population, Crescent Elayne Rowell

Theses and Dissertations (ETD)

The primary objective of the study was to assess the psychometric properties of a hypertension knowledge instrument in a vulnerable population. The secondary objective was to determine the association between hypertension knowledge and outcomes such as systolic and diastolic blood pressure and hemoglobin A1c.

A cross-sectional study was conducted using a convenience sample of 196 adults aged 18 years and older with hypertension. Item analysis was conducted to determine the reliability of the instrument. The factor structure was determined and confirmed using exploratory factor analysis and confirmatory factor analysis, respectively. Logistic regression analysis was used to determine the association between …


Prevalence Of Obesity, Type Ii Diabetes Mellitus, Hyperlipidemia, And Hypertension In The United States: Findings From The Ge Centricity Electronic Medical Record Database., Albert G Crawford, Christine Cote, Joseph Couto, Mehmet Daskiran, Candace Gunnarsson, Kara Haas, Sara Haas, Somesh C Nigam, Rob Schuette Jun 2010

Prevalence Of Obesity, Type Ii Diabetes Mellitus, Hyperlipidemia, And Hypertension In The United States: Findings From The Ge Centricity Electronic Medical Record Database., Albert G Crawford, Christine Cote, Joseph Couto, Mehmet Daskiran, Candace Gunnarsson, Kara Haas, Sara Haas, Somesh C Nigam, Rob Schuette

College of Population Health Faculty Papers

This study analyzed GE Centricity Electronic Medical Record (EMR) data to examine the effects of body mass index (BMI) and obesity, key risk factor components of metabolic syndrome, on the prevalence of 3 chronic diseases: type II diabetes mellitus, hyperlipidemia, and hypertension. These chronic diseases occur with high prevalence and impose high disease burdens. The rationale for using Centricity EMR data is 2-fold. First, EMRs may be a good source of BMI/obesity data, which are often underreported in surveys and administrative databases. Second, EMRs provide an ideal means to track variables over time and, thus, allow longitudinal analyses of relationships …