scholarly journals Routine Check-Ups and Other Factors Affecting Discussions With a Health Care Provider About Subjective Memory Complaints, Behavioral Risk Factor Surveillance System, 21 States, 2011

2016 ◽  
Vol 13 ◽  
Author(s):  
Mary Adams
Circulation ◽  
2021 ◽  
Vol 143 (Suppl_1) ◽  
Author(s):  
Yamnia I Cortes ◽  
Patricia Pagan Lassalle ◽  
Krista Perreira

Background: In September 2017, Hurricane Maria devastated Puerto Rico (PR), in what is now regarded as one of the worst natural disasters in United States (US) history. Natural disasters can impact health directly as well as indirectly through their impacts on health behavior, health utilization, and migration. Population-based estimates of the health of PR residents before and after Hurricane Maria have not been assessed. Objective: The overall goal of this project is to compare key health indicators, particularly cardiovascular disease risk factors, among PR residents pre- and post-Hurricane Maria. Methods: This study used data from the Behavioral Risk Factor Surveillance System (BRFSS) in PR. We included data from four survey years: 2015 (N=4556), 2016 (N=5765), 2017 (N=4462), and 2018 (N=4814). The sample consisted of non-institutionalized adults age ≥18 years with access to a landline or a cellular telephone. Since BRFSS data collection in PR were completed in the Spring, and Hurricane Maria struck in Fall 2017, we analyzed three yearsof pre-hurricane data (2015, 2016, 2017) and one year post-hurricane (2018). We will soon be including a second year of data post-hurricane (2019). We used logistic regression analyses to compare health care utilization (health insurance coverage, routine checkup within past year), health behaviors (alcohol use, smoking), and health outcomes (obesity, diabetes, depression) pre- and post-Hurricane Maria. Survey year 2017 was the referent in all models. Final models were adjusted for age, sex, race, education, employment, income, and marital status. Results: Compared to survey year 2017, in 2018 (post-hurricane) participants were more likely to have a college degree or higher, be currently employed, and not married/partnered. Post-hurricane, participants were less likely to have health insurance coverage (AOR, 95% CI: 0.75, 0.58-0.97) and had lower rates of diabetes (AOR: 0.82, 0.70-0.96). The odds of being overweight/obese were lower in 2015 (pre-hurricane) compared to 2017 (AOR, 95% CI: 0.88, 0.79-0.97). There was no significant difference in health behaviors across survey years. Conclusions: Participants who completed the BRFSS in PR post-Hurricane Maria had a higher socioeconomic status and lower rates of diabetes. Our results may suggest that PR residents with a lower socioeconomic status and/or chronic illness were more likely to emigrate, resulting in a compositional change in the population post-hurricane. This analysis highlights the need for long-term follow-up of PR residents to better determine the impact of Hurricane Maria, and adequately design public health programs to address healthcare needs, access, and outcomes.


2018 ◽  
Vol 39 (4) ◽  
pp. 209-216 ◽  
Author(s):  
Amy K. Chesser ◽  
Jared Reyes ◽  
Nikki Keene Woods

Health literacy continues to be an important research topic as part of population-based assessments for overall health issues. The objective of this continuation study was to examine the health literacy rates and health outcomes as measured by the Kansas Behavioral Risk Factor Surveillance System (BRFSS) survey. A cross-sectional research design was used. Health literacy data were extracted from the state-specific module of the BRFSS telephone survey. Demographic and health status variables were extracted from the core BRFSS dataset. The association between demographic and health status characteristics with health literacy was obtained using weighted samples in multivariable logistic regression models. As in the previous study, most respondents had moderate health literacy (61.1%), followed by high health literacy (31.4%) and low health literacy (7.5%). The demographic variables of interest included race, marital status, home ownership, insurance status, metropolitan status code, survey language, veteran status, education, employment, income, sex, and age. The health status variables included general health rating, presence of chronic conditions, and length of time since last check-up. Findings include individuals with low levels of health literacy were nearly 7 times as likely to be unsure of at least one health condition than those with high health literacy and demonstrate a broad gap in people’s ability to communicate accurate information to health-care providers. Results can inform future efforts to build programs that address health disparities issues including low health literacy to provide equitable health-care services. There is a continued need for support for the creation of health literate programs.


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