Sara Flash

Student, NIH

1 active project

CHF 2

Congestive Heart Failure is a chronic medical condition whose outcomes can be influenced by lifestyle and dietary habits. Multiple factors in dietary choices in particular psychological factors such as cognition, personality, emotional states/traits, knowledge, and behavioral scripts. Th project is…

Scientific Questions Being Studied

Congestive Heart Failure is a chronic medical condition whose outcomes can be influenced by lifestyle and dietary habits. Multiple factors in dietary choices in particular psychological factors such as cognition, personality, emotional states/traits, knowledge, and behavioral scripts. Th project is to identify psychological factors that impact important physiological outcomes such as sodium levels, BMI, rehospitalizations, disease comorbidities. The initial data probe is implemented to explore availability of predictor and outcomes variables that best assess the constructs.

Project Purpose(s)

  • Disease Focused Research (congestive heart failure)

Scientific Approaches

The initial phase is exploratory and therefore many analysis will use descriptive rather than inferential statistics. The initial goal is to create a co that have a diagnosis of CHF and to identify sample size of various levels of the disease. We will explore the availability of mental health and life that are relevant to the condition (e.g. mood disturbance, activity level, shopping activities). Furthermore, we will evaluate potential targets for ER visits, hospitalization, and biometrics. We will explore the psychometric properties of the data elements to insure adequacy of variance in t outcomes measures, nature of the distributions, and degree of data integrity (e.g. casewise data loss). Subsequent analyses may include infer however, those will be dependent on the distribution of the measures (e.g. logistic regression versus multiple linear regression).

Anticipated Findings

The data will be used to support on-going research in our laboratory. We hope to use the data to identify key variables to include in our immersive shopping environment that focuses on understanding dietary decision-making in a real-world context. Furthermore, we hope to identify additional potential research by identifying lifestyle and home environment variables that can be simulated in an immersive environment. The current d serve as a platform for identifying real-life experiences of individuals to drive technological tools for assessing and potentially intervening (e.g. interventions) to improve health care outcomes when the individual with a chronic medical condition is outside (e.g. at home, at the grocery s traditional medical environment (e.g. hospital, office visit). We will also use the data to identify factors that impact health outcomes to advance understanding of CHF progression.

Demographic Categories of Interest

This study will not center on underrepresented populations.

Research Team

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