"Effects of geographic variation in SNAP purchasing power on program participation, health outcomes, and health care utilization for elderly individuals"

2021 ◽  
Author(s):  
Benjamin Delgado
2020 ◽  
Vol 75 (1) ◽  
pp. 148-150 ◽  
Author(s):  
Andrea L. Oliverio ◽  
Lindsay K. Admon ◽  
Laura H. Mariani ◽  
Tyler N.A. Winkelman ◽  
Vanessa K. Dalton

Author(s):  
Nicolas A. Brown ◽  
David M. Condon ◽  
Daniel K. Mroczek

Research has demonstrated that personality is consistently linked to important health outcomes such as longevity, health care utilization, and adherence to prescribed treatment of illness and disease. However, situational factors may amplify, block, or modify person-level characteristics that affect these outcomes. Therefore, the integration of situation and personality research may add predictive validity for important outcomes such as health behavior and health care utilization. This chapter discusses the importance of context in the joint study of personality and health. We introduce a roadmap for studying health and situations emphasizing the need for theoretical and measurement frameworks. Lastly, the chapter reviews relevant methodological considerations for studying health situations, including tools for assessing situations (e.g., experience sampling, wearable cameras), and recruiting from appropriate populations.


10.2196/17075 ◽  
2020 ◽  
Vol 7 (7) ◽  
pp. e17075
Author(s):  
Shefali Kumar ◽  
Jennifer L A Tran ◽  
Ernesto Ramirez ◽  
Wei-Nchih Lee ◽  
Luca Foschini ◽  
...  

Background Depression and anxiety greatly impact daily behaviors, such as sleep and activity levels. With the increasing use of activity tracking wearables among the general population, there has been a growing interest in how data collected from these devices can be used to further understand the severity and progression of mental health conditions. Objective This virtual 1-year observational study was designed with the objective of creating a longitudinal data set combining self-reported health outcomes, health care utilization, and quality of life data with activity tracker and app-based behavioral data for individuals with depression and anxiety. We provide an overview of the study design, report on baseline health and behavioral characteristics of the study population, and provide initial insights into how behavioral characteristics differ between groups of individuals with varying levels of disease severity. Methods Individuals who were existing members of an online health community (Achievement, Evidation Health Inc) and were 18 years or older who had self-reported a diagnosis of depression or anxiety were eligible to enroll in this virtual 1-year study. Participants agreed to connect wearable activity trackers that captured data related to physical activity and sleep behavior. Mental health outcomes such as the Patient Health Questionnaire (PHQ-9), the Generalized Anxiety Disorder Questionnaire (GAD-7), mental health hospitalizations, and medication use were captured with surveys completed at baseline and months 3, 6, 9, and 12. In this analysis, we report on baseline characteristics of the sample, including mental health disease severity and health care utilization. Additionally, we explore the relationship between passively collected behavioral data and baseline mental health status and health care utilization. Results Of the 1304 participants enrolled in the study, 1277 individuals completed the baseline survey and 1068 individuals had sufficient activity tracker data. Mean age was 33 (SD 9) years, and the majority of the study population was female (77.2%, 994/1288) and identified as Caucasian (88.3%, 1137/1288). At baseline, 94.8% (1211/1277) of study participants reported experiencing depression or anxiety symptoms in the last year. This baseline analysis found that some passively tracked behavioral traits are associated with more severe forms of anxiety or depression. Individuals with depressive symptoms were less active than those with minimal depressive symptoms. Severe forms of depression were also significantly associated with inconsistent sleep patterns and more disordered sleep. Conclusions These initial findings suggest that longitudinal behavioral and health outcomes data may be useful for developing digital measures of health for mental health symptom severity and progression.


2018 ◽  
Vol 24 (7) ◽  
pp. 1011-1019 ◽  
Author(s):  
Se Jin Park ◽  
Hyesue Jang ◽  
Yeeun Lee ◽  
Chul Eung Kim ◽  
Subin Park

Objective: To compare health behaviors, physical health outcomes, and health care utilization between children with and without ADHD. Method: In this cross-sectional study, we obtained data for children with and without ADHD from the Korean National Health and Nutrition Examination Survey. To investigate the association between ADHD and health outcomes, we estimated the adjusted prevalence ratios (APRs) in these groups. Results: Among 10,838 children aged 7 to 18 years with and without ADHD, those with ADHD had significantly higher APRs for overall health problems, physical illness, and injuries than those without ADHD. Despite having health care needs, children with ADHD were less likely than those without ADHD to use health care services. However, there were no significant associations between most health behaviors and ADHD. Conclusion: Increased efforts are needed to provide quality health care services to address the medical conditions of children with ADHD and to enhance their health care utilization when needed.


2016 ◽  
Vol 131 (4) ◽  
pp. 1681-1726 ◽  
Author(s):  
Amy Finkelstein ◽  
Matthew Gentzkow ◽  
Heidi Williams

Abstract We study the drivers of geographic variation in U.S. health care utilization, using an empirical strategy that exploits migration of Medicare patients to separate the role of demand and supply factors. Our approach allows us to account for demand differences driven by both observable and unobservable patient characteristics. Within our sample of over-65 Medicare beneficiaries, we find that 40–50% of geographic variation in utilization is attributable to demand-side factors, including health and preferences, with the remainder due to place-specific supply factors.


2002 ◽  
Vol 17 (8) ◽  
pp. 604-611 ◽  
Author(s):  
Usha Subramanian ◽  
Morris Weinberger ◽  
George J. Eckert ◽  
Gilbert J. L’Italien ◽  
Pablo Lapuerta ◽  
...  

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 666-P
Author(s):  
EINAV SRULOVICI ◽  
MAYA LEVENTER-ROBERTS ◽  
BRADLEY CURTIS ◽  
XUANYAO HE ◽  
AMICHAY AKRIV ◽  
...  

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