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BACKGROUND: Compared with conventional cigarettes, electronic cigarettes are less harmful in some studies. However, recent research may indicate the opposite. This study aimed to determine whether e-cigarette use is related to myocardial health in adults in the U.S. METHODS: This study used data from the 2020 Behavioral Risk Factor Surveillance System (BRFSS), a cross-sectional survey of adult US residents aged 18 years or older. We examined whether e-cigarette use was related to myocardial infarction byapplying a logistic regression model to calculate odds ratios (ORs) and 95% confidence intervals (CIs). RESULTS: The final analytical sample included 198,530 adults in the U.S. Logistic regression indicated that U.S. adults who reported being former and some days of e-cigarette use had 23% and 52% greater odds of ever having an MI, respectively, than did those who reported never using e-cigarettes (OR = 1.23, 95% CI 1.08-1.40, p = 0.001; OR = 1.52, 95% CI 1.10-2.09, p = 0.010). CONCLUSIONS: The results suggest that former and someday users of e-cigarettes probably have increased odds of myocardial infarction in adults in the U.S. Further research is needed, including long-term follow-up studies on e-cigarettes, since it is still unknown whether they should be discouraged.

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OBJECTIVE: Previous studies show the reach of the current drug overdose epidemic into the U.S.-Mexico border region, albeit with a unique border-specific wave pattern compared to national waves and a delayed onset of fentanyl involvement (Wave I: 2002-2011, Wave II: 2012-2016, and Wave III: since 2017). The objective of this study is to examine the community predictors and the progression of overdose deaths across the U.S-Mexico border-specific epidemic waves. METHOD: Descriptive epidemiological profile of border communities across the unfolding of the opioid epidemic, integrated data from the CDC-WONDER multiple causes of death data set, the CDC SVI, Uniform Crime Report, and the Behavioral Risk Factor Surveillance System. Using spatially adjusted Bayes rates by border-specific epidemic waves, we provide a descriptive profile of the spatial unfolding of the drug overdose epidemic. Negative binomial regression models assessed community predictors of overdose deaths across waves. RESULTS: Spatial analysis identified moderate to steep increases in drug overdose deaths over the three waves along the border. The impact and unfolding of the epidemic in the U.S.-Mexico border region were not uniform and affecting communities with differing severity and timing. Our study also finds support for social vulnerability and community violence as predictors of overdose deaths over the current wave of the epidemic. CONCLUSION: Findings suggest that more disadvantaged U.S.-Mexico border communities may encounter increasing rates of overdose death over the coming years. Interventions need to target not only the supply side but also the underlying social root causes for sustainable overdose prevention.

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BACKGROUND: Puerto Rico, a US territory, faces numerous challenges adversely affecting public health, including poverty, a fragile healthcare system, inadequate infrastructure, a debt crisis, and vulnerability to climate change-related natural disasters. The impact of these factors on the Health-Related Quality of Life (HRQoL) measure has not been comprehensively evaluated. Only two studies have assessed HRQoL, with the latest conducted in 2011, prior to recent events that could affect public health. This study aimed to assess the HRQoL and associated sociodemographic and health risk factors among adults living in Puerto Rico in 2019. METHODS: Prevalence and 95% confidence intervals were used to describe HRQoL and its associations with sociodemographic and health-related variables among adults living in Puerto Rico who answered the Behavioral Risk Factor Surveillance System (BRFSS) survey (n = 4,944) in 2019. Multivariable logistic regression models were developed to identify which of these variables were more likely to be associated with each of the four core HRQoL questions (HRQoL-4), expressed as prevalence odds ratios with 95% confidence intervals adjusted for potential confounders. RESULTS: Through a comprehensive multivariable analysis, we uncovered significant risk factors - increasing number of chronic conditions, advanced age, and low income - associated with poor HRQoL among adults living in Puerto Rico. Specifically, our findings suggest that individuals with an increasing number of chronic conditions were more likely to report poor HRQoL across all 4 domains. As the number of reported chronic conditions increases by one, the odds of reporting having: fair/poor general health increased by a factor of 2.24 (POR: 2.24, 95% CI: 2.08-2.41), physical health impairment increased by a factor of 1.93 (POR: 1.93, 95% CI: 1.78-2.08), mental health impairment increased by a factor of 1.90 (POR: 1.90, 95% CI: 1.78-2.02) and activity limitation increased by a factor of 1.27 ( POR: 1.27, 95% CI: 1.13-1.42). Advancing age was associated with all domains of poor HRQoL, except for the mental health domain for which we observed higher rates of poor HRQoL among the younger population (POR: 4.76, 95% CI: 2.4-9.1). CONCLUSION: This paper shows that the prevalence of poor HRQoL has not improved compared to the only previous study of HRQoL of Puerto Rico in the last decade. We also found that poor HRQoL is associated with having multiple chronic conditions in adults living in Puerto Rico. This may be a consequence of a decline in health services after natural disasters and socioeconomic downturns on the island. The study emphasizes the need for targeted interventions and ongoing monitoring of the population's HRQoL over time to reach vulnerable subgroups, especially those with chronic conditions, advanced age, and low income, in order to reduce health disparities in Puerto Rico.

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Identifying factors associated with colorectal cancer screening utilization is important to guide colorectal cancer prevention and control programs. We evaluated trends and factors associated with previous-year fecal occult blood test (FOBT) use among Hispanic adults living in Puerto Rico and the U.S. mainland. Using data from the Behavioral Risk Factor Surveillance System (2012-2020), trends in FOBT use were analyzed using joinpoint regression to estimate annual percentage change (APC). Logistic regression stratified by location identified factors associated with FOBT use. FOBT was more common among Hispanic adults ages 50 to 75 years living in Puerto Rico than in the U.S. mainland [Puerto Rico: 20.5%[2012] to 45.6%[2020], APC = 11.4%; U.S. mainland: 9.9%[2012] to 16.7%[2020], APC = 5.9%]. Factors inversely associated with FOBT use were similar in Puerto Rico and the U.S. mainland, including lack of health insurance, not having a personal doctor, having a checkup >12 months ago, and not being able to see a doctor due to cost, as were factors associated with higher FOBT use, including older age, retirement, or having two or more chronic diseases. Among Hispanics living in the U.S. mainland, lack of exercise and less education were inversely associated with FOBT. Factors related to poor access to healthcare were associated with lower use of FOBT among Hispanics. Efforts to improve colorectal cancer screening in Hispanics are necessary to address health disparities across the colorectal cancer care continuum. PREVENTION RELEVANCE: Colorectal cancer screening reduces cancer incidence and mortality. All screening modalities, including less invasive FOBT tests, are underutilized, especially in non-White and low-income populations. Evaluation of trends and factors associated with the increase in the use of colorectal cancer screening can inform programs to address the lack of screening among racial minorities.

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Hurricane Maria is regarded as one of the worst natural disasters in United States history as it devasted Puerto Rico (PR) in September 2017. This study compared population-based key health indicators among PR residents pre-and post-Hurricane Maria. We examined Behavioral Risk Factor Surveillance System (BRFSS) PR data from five survey years, including pre-and post-Hurricane Maria: 2015 (N = 4556), 2016 (N = 5765), 2017 (N = 4462), 2018 (N = 4814), and 2019 (N = 4958). The sample consisted of non-institutionalized adults aged ≥ 18 years with access to a landline or a cellular telephone. Using logistic regression we compared health care utilization, health behaviors, and outcomes pre-and post-Hurricane Maria. Models adjusted for age, sex, race, education, employment, income, and marital status (2017 = referent). Compared to 2017, 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 (2018 AOR, 95% CI: 0.75, 0.58-0.97) and had lower rates of diabetes (2018 AOR: 0.82, 0.70-0.96). The odds of being overweight/obese were lower pre-hurricane compared to 2017 (2015 AOR, 95% CI: 0.88, 0.79-0.97). There was no statistically significant difference in health behaviors across survey years. Results may suggest that PR residents with 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.

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Introduction: High incidence and prevalence of HIV persist in Puerto Rico. To inform HIV prevention efforts, this study examines factors linked to HIV-associated behaviors in the territory. Methods: Using data from the 2019 Behavioral Risk Factor Surveillance System, multivariable logistic regression models were constructed to explore factors related to HIV-associated behaviors. Results: Among Puerto Rican residents (n=4446), 5.6% reported engaging in ≥1 HIV-associated behavior (past 12 months), and 39.2% had never been tested for HIV. Reporting HIV-associated behaviors was associated with male sex (adjusted odds ratio [aOR], 1.74; 95% confidence interval [CI], 1.30-2.33), higher household income (aOR, 1.71; 95% CI, 1.14-2.58), heavy alcohol use (aOR, 2.67; 95% CI, 1.68-4.25), and ever receiving an HIV test (aOR, 2.00; 95% CI, 1.40-2.86) in a multivariable model. Conversely, being married (aOR, 0.51; 95% CI, 0.35-0.72), having a recent routine checkup (aOR, 0.48; 95% CI, 0.32-0.72), and reporting 0 days of poor mental health (aOR, 0.61; 95% CI, 0.45-0.81) were associated with decreased odds of engaging in HIV-associated behaviors. Conclusions: Future surveys should incorporate measures of social and structural determinants that would provide greater context for understanding behavioral factors associated with HIV vulnerability as well as for developing appropriate HIV interventions in Puerto Rico.

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Background: People with cognitive impairment may be exposed to an increased risk of comorbidities; however, the clustering of comorbidity patterns in these patients is unclear. Objective: To explore the network structure of chronic comorbidity in a U.S. national sample spanning all 50 U.S. states with more than 170,000 participants reporting perceived cognitive impairment. Methods: This is a cross-sectional study conducted using Behavioral Risk Factor Surveillance System (BRFSS) secondary data collected in 2019 and covering 49 U.S. states, the District of Columbia, Guam, and the Commonwealth of Puerto Rico. A total of 15,621 non-institutionalized U.S. adult participants who reported "yes" to the subjective cognitive impairment question were considered, of whom 7,045 were men and 8,576 were women. All participants were aged 45 years or older. A statistical graphical model was used that included clustering algorithms and factorization of variables in a multivariate network relationship system [exploratory graphical analysis (EGA)]. Results: The results of the EGA show associations between the comorbid conditions evaluated. These associations favored the clustering of various comorbidity patterns. In fact, three patterns of comorbidities have been identified: (1) arthritis, asthma, respiratory diseases, and depression, (2) obesity, diabetes, blood pressure high, and blood cholesterol high, and (3) heart attack, coronary heart disease, stroke, and kidney disease. Conclusion: These results suggest the development of interdisciplinary treatment strategies in patients with perceived cognitive impairment, which could help to design an integrated prevention and management of the disease and other related health problems, such as Alzheimer's disease and related dementias.

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OBJECTIVE: Food insecurity is associated with diabetes. The Supplemental Nutrition Assistance Program (SNAP) is the largest U.S. government food assistance program. Whether such programs impact diabetes trends is unclear. The objective of this study was to evaluate the association between changes in state-level policies affecting SNAP participation and county-level diabetes prevalence. RESEARCH DESIGN AND METHODS: We evaluated the association between change in county-level diabetes prevalence and changes in the U.S. Department of Agriculture SNAP policy index-a measure of adoption of state-level policies associated with increased SNAP participation (higher value indicating adoption of more policies associated with increased SNAP participation; range 1-10)-from 2004 to 2014 using g-computation, a robust causal inference methodology. The study included all U.S. counties with diabetes prevalence data available from the Centers for Disease Control and Prevention's U.S. Diabetes Surveillance System. RESULTS: The study included 3,135 of 3,143 U.S. counties. Mean diabetes prevalence increased from 7.3% (SD 1.3) in 2004 to 9.1% (SD 1.8) in 2014. The mean SNAP policy index increased from 6.4 (SD 0.9) to 8.2 (SD 0.6) in 2014. After accounting for changes in demographic-, economic-, and health care-related variables and the baseline SNAP policy index, a 1-point absolute increase in the SNAP policy index between 2004 and 2014 was associated with a 0.050 (95% CI 0.042-0.057) percentage point lower diabetes prevalence per year. CONCLUSIONS: State policies aimed at increasing SNAP participation were independently associated with a lower rise in diabetes prevalence between 2004 and 2014.

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OBJECTIVE: Population reductions in Na intake could prevent hypertension, and current guidelines recommend that clinicians advise patients to reduce intake. This study aimed to estimate the prevalence of taking action and receiving advice from a health professional to reduce Na intake in ten US jurisdictions, including the first-ever data in New York state and Guam. DESIGN: Weighted prevalence and 95 % CI overall and by location, demographic group, health status and receipt of provider advice using self-reported data from the 2017 Behavioral Risk Factor Surveillance System optional Na module. SETTING: Seven states, the District of Columbia, Puerto Rico and Guam. PARTICIPANTS: Adults aged ≥ 18 years. RESULTS: Overall, 53·6 % (95 % CI 52·7, 54·5) of adults reported taking action to reduce Na intake, including 54·8 % (95 % CI 52·8, 56·7) in New York and 61·2 % (95 % CI 57·6, 64·7) in Guam. Prevalence varied by demographic and health characteristic and was higher among adults who reported having hypertension (72·5 %; 95 % CI 71·2, 73·7) v. those who did not report having hypertension (43·9 %; 95 % CI 42·7, 45·0). Among those who reported receiving Na reduction advice from a health professional, 82·6 % (95 % CI 81·3, 83·9) reported action v. 44·4 % (95 % CI 43·4, 45·5) among those who did not receive advice. However, only 24·0 % (95 % CI 23·3, 24·7) of adults reported receiving advice from a health professional to reduce Na intake. CONCLUSIONS: The majority of adults report taking action to reduce Na intake. Results highlight an opportunity to increase Na reduction advice from health professionals during clinical visits to better align with existing guidelines.

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