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OBJECTIVE: To evaluate the impact of Hurricanes Irma and Maria on 3 major chronic diseases in Puerto Rico. METHODS: San Juan Overweight Adults Longitudinal study participants were re-evaluated after Hurricanes Irma and Maria (May 2019-July 2020) for the Preparedness to Reduce Exposures and Diseases Post-hurricanes and Augment Resilience study. This study compared the prevalence and incidence of asthma, depression, and hypertension within the same 364 individuals over time. RESULTS: Asthma and depression prevalence and incidence did not change significantly after the hurricanes. The prevalence of hypertension increased significantly after the hurricanes (OR = 2.2, 95% CI: 1.2, 3.9). The incidence of hypertension after the hurricanes (IR = 9.0, 95% CI: 6.5, 12.4) increased significantly compared to before the hurricanes (IR = 6.1, 95% CI: 4.5, 8.0) (age-adjusted incidence rate ratio [aIRR] = 1.4, 95% CI: 4.5, 8.0) for similar time periods. CONCLUSION: Hurricanes Irma and Maria were associated with a significant increase in the prevalence and incidence of hypertension in this study population. Contrary to expectations, no significant increases were observed in depression and asthma prevalence after the hurricanes. Results from this study can inform better strategies to prevent and manage hypertension in the population affected by a hurricane.

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OBJECTIVES: Cervical cancer incidence is rising in Puerto Rico (PR). Screening for cervical cancer could prevent the occurrence of the disease or lead to its early detection, translating to survival benefits. In this study, we evaluated the association of cervical cancer screening status with tumor diagnosis and survival among Hispanic women living in PR. METHODS: We analyzed data for 506 incident cases of primary cervical cancer diagnosed from the period 2011-2014, identified through the PR Central Cancer Registry. We ascertained screening status 3 years before cervical cancer diagnosis using data from the period 2008-2014 from the PR Central Cancer Registry-Health Insurance Linkage Database. Patients were followed until 2019. Our outcomes of interest were stage at diagnosis and survival. RESULTS: Most women (78.86%) were covered by public insurance (Medicare and/or Medicaid), and 69.57% underwent screening 3 years before their diagnosis. The proportion of cases diagnosed with localized stage was significantly greater among the screened group compared with those unscreened (43.5% vs 33.1%, p < .0001). Multivariate analysis showed that women insured through Medicaid were less likely to have been screened when compared with women with private insurance (odds ratio = 0.29; 95% CI = 0.16-0.52). Five-year survival was significantly greater among screened (72%) than unscreened (54%) women (p log-rank < 0.05). The multivariate Cox proportional hazards model showed that women who received screening had a 39% (hazard ratio [HR] = 0.61; 95% CI = 0.43-0.87) lower risk of death compared with unscreened women. CONCLUSION: Our findings exemplify survival benefits among women who underwent cervical cancer screening in PR. Interventions to improve screening uptake and adherence are a public health priority.

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Introduction: Health care providers faced a challenge with the emergence of COVID-19 and its rapid spread. Early studies measuring the psychological impact of COVID-19 on the general population found high levels of anxiety and sleep disorders. The primary goal of this project was to assess the psychological impact of COVID-19 on physicians in Puerto Rico. Materials and methods: A cross-sectional study of physicians in Puerto Rico was conducted anonymously and electronically from February 2021 through April 2021. The electronic survey included socio-demographic data and 4 self-administered assessment tools (Generalized Anxiety Disorder-7, Perceived Stress Scale-10, Pittsburgh Sleep Quality Index and COVID-19 Organizational Support) for anxiety, perceived stress, sleep disturbances, and organizational support during the COVID-19 pandemic. Results: A total of 145 physicians completed the survey, with a female predominance of 53.5% and a majority practicing in the San Juan metropolitan area (50.3%). Mild anxiety symptoms were reported in 26.9% of physicians, and 33.8% had moderate to severe anxiety symptoms. Moderate to high perceived stress was found in 69.9% of participants, and women reported statistically significantly higher levels of anxiety symptoms (8.84 ± 5.99; p = 0.037) and stress (19.0 ± 6.94, p = 0.001). The Pittsburgh Sleep Quality Index reported 67.9% of physicians with global scores associated with poor sleep quality. Assessment of perceived organizational support found a high perception of work support (65.7%) but low perception of personal support (43.4%) and risk support (30.3%). A correlation analysis found a negative correlation for work and personal support, but a positive correlation for risk support, all statistically significant. Conclusion: COVID-19 had a lasting psychological impact in health care providers in Puerto Rico a year after the beginning of the pandemic. Our data supports the importance of organizational support and its correlation with the development of anxiety. It is thus essential to develop strategies to identify individuals at risk of experiencing psychological disturbances and to provide effective support for medical professionals during medical emergencies for their well-being and optimal delivery of patient care.

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Improving public health initiative requires an accurate anthropometric index that is better suited to a specific community. In this study, the anthropometric grouping index is proposed as a more efficient and discriminatory alternative to the popular BMI for the Eastern Caribbean population. A completely distribution-free cluster analysis was performed to obtain the 11 categories, leading to AGI-11. Further, we studied these groups using novel non-parametric clustering summaries. Finally, two generalized linear mixed models were fitted to assess the association between elevated blood sugar, AGI-11 and BMI. Our results showed that AGI-11 tends to be more sensitive in predicting levels of elevated blood sugar compared to BMI. For instance, individuals identified as obese III according to BMI are (POR: 2.57; 95% CI: (1.68, 3.74)) more likely to have elevated blood sugar levels, while, according to AGI, individuals with similar characteristics are (POR: 3.73; 95% CI: (2.02, 6.86)) more likely to have elevated blood sugar levels. In conclusion, the findings of the current study suggest that AGI-11 could be used as a predictor of high blood sugar levels in this population group. Overall, higher values of anthropometric measures correlated with a higher likelihood of high blood sugar levels after adjusting by sex, age, and family history of diabetes.

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