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1.
Artigo em Inglês | MEDLINE | ID: mdl-37297525

RESUMO

Residents of Puerto Rico bear a significant burden of mental health disorders, which the COVID-19 pandemic may have exacerbated. However, age-specific data on these disorders during the pandemic in Puerto Rico are scarce. This study evaluated age-related differences in the self-reported diagnosis of depression and anxiety among adults ≥18 years residing in Puerto Rico during the pandemic. An anonymous online survey was administered from December 2020 to February 2021 via Google Forms to measure self-reported sociodemographic and behavioral characteristics and physician-diagnosed mental health disorders. Multivariable logistic regression models were conducted for each self-reported mental health diagnosis after adjusting for sex, education, income, marital status, chronic diseases, and smoking. Out of 1945 adults, 50% were aged 40 years and over. Nearly 24% of responders self-reported an anxiety diagnosis, whereas 15.9% reported depression. Compared to individuals 50 years and over, those 18-29 y, 30-39 y, and 40-49 y had significantly higher odds of an anxiety diagnosis (OR = 1.84, 95% CI = 1.34-2.55; OR = 1.50, 95% CI = 1.09-2.07; and OR = 1.37, 95% CI = 1.01-1.87, respectively). However, no association between age and depression diagnosis was found. Despite anxiety and depression being frequent disorders during the pandemic in this sample, younger adults bear a higher burden of anxiety. Further research is needed to allocate appropriate mental health resources during emergencies according to population subgroups.


Assuntos
COVID-19 , Adulto , Humanos , Pessoa de Meia-Idade , Adolescente , COVID-19/diagnóstico , COVID-19/epidemiologia , Porto Rico/epidemiologia , Pandemias , Depressão/psicologia , Ansiedade/epidemiologia , Ansiedade/diagnóstico , Teste para COVID-19
2.
Disaster Med Public Health Prep ; 17: e367, 2023 03 27.
Artigo em Inglês | MEDLINE | ID: mdl-36970863

RESUMO

OBJECTIVE: To describe the importance of community engagement from research projects and research centers in times of disasters or emergencies, using the case of Puerto Rico in recent years (2017 - 2022) as an example. METHODS: First, research participants and stakeholders from local community and health organizations were contacted via email and phone calls after each emergency to assess their immediate needs. Second, needs were classified in categories (materials, educational resources, service referrals, and collaborations). Finally, delivery of support was coordinated in a timely manner whether in person or online. RESULTS: Activities were conducted such as handing out materials, providing educational resources, contacting participants, and stakeholders, as well as coordinating collaboration with community and organizations. CONCLUSION: Several lessons were learned from our experiences related to Puerto Rico's recent emergencies as well as some relevant recommendations for future disasters. The efforts presented illustrate the importance of community engagement from academic institutions in disasters. Research centers and research projects, particularly those with community engagement components, should consider providing support in the preparedness phase as well as the recovery phase if necessary. Community engagement in emergencies is crucial to recovery efforts as well as fostering empowerment and making an impact on individual and societal levels.


Assuntos
Tempestades Ciclônicas , Desastres , Humanos , Porto Rico , Emergências , Universidades , Aprendizagem
3.
Artigo em Inglês | MEDLINE | ID: mdl-36768092

RESUMO

Artificial intelligence (AI) and machine learning (ML) facilitate the creation of revolutionary medical techniques. Unfortunately, biases in current AI and ML approaches are perpetuating minority health inequity. One of the strategies to solve this problem is training a diverse workforce. For this reason, we created the course "Artificial Intelligence and Machine Learning applied to Health Disparities Research (AIML + HDR)" which applied general Data Science (DS) approaches to health disparities research with an emphasis on Hispanic populations. Some technical topics covered included the Jupyter Notebook Framework, coding with R and Python to manipulate data, and ML libraries to create predictive models. Some health disparities topics covered included Electronic Health Records, Social Determinants of Health, and Bias in Data. As a result, the course was taught to 34 selected Hispanic participants and evaluated by a survey on a Likert scale (0-4). The surveys showed high satisfaction (more than 80% of participants agreed) regarding the course organization, activities, and covered topics. The students strongly agreed that the activities were relevant to the course and promoted their learning (3.71 ± 0.21). The students strongly agreed that the course was helpful for their professional development (3.76 ± 0.18). The open question was quantitatively analyzed and showed that seventy-five percent of the comments received from the participants confirmed their great satisfaction.


Assuntos
Inteligência Artificial , Ciência de Dados , Recursos Humanos , Humanos , Hispânico ou Latino , Aprendizado de Máquina , Pesquisa Biomédica
4.
Artigo em Inglês | MEDLINE | ID: mdl-36141998

RESUMO

Religiosity may influence COVID-19 vaccination. However, it remains unclear how religiosity is associated with beliefs toward COVID-19 and vaccination against it, particularly amongst ethnic minorities. This study examined the association between religiosity, vaccination intent, beliefs, and attitudes related to COVID-19 and vaccination among adults in Puerto Rico. Data from an online survey conducted between December 2020-February 2021 among adults (≥18 yr; n = 1895) residing in Puerto Rico were used. Rating of the importance of religiosity was used to capture the level of religiosity ('less important', 'somewhat important', 'important', and 'very important'). The health belief model (HBM) assessed beliefs and attitudes toward COVID-19 and vaccination against it. Adjusted Poisson models with robust error variance estimated prevalence ratios (PR) and 95% confidence intervals for vaccination intent and individual COVID-19 HBM constructs. Compared to individuals rating religiosity as 'less important' to them, those rating it as 'very important' were more likely to be unwilling or uncertain to get the COVID-19 vaccine (PR = 1.51, 95% CI = 1.10-2.05). Higher ratings of importance of religiosity, compared to the lowest level, were associated with significantly lower perceived COVID-19 susceptibility, more vaccine barriers, and lower vaccine benefits (all p < 0.05). Individuals who reported religiosity being very important to them were more likely to report that they will get the COVID-19 vaccine only if given adequate information about it (PR = 1.14, 95% CI = 1.02-1.27) and more likely to get the vaccine if more people decide to receive it (all p < 0.05). In conclusion, our results suggest an association between religiosity and COVID-19 vaccination intent and beliefs and attitudes toward vaccination. The study highlights important guidelines for public health campaigns to increase vaccine uptake among religious communities in Puerto Rico.


Assuntos
COVID-19 , Vacinas , Adulto , COVID-19/epidemiologia , COVID-19/prevenção & controle , Vacinas contra COVID-19 , Conhecimentos, Atitudes e Prática em Saúde , Humanos , Porto Rico/epidemiologia , Vacinação
5.
Vaccines (Basel) ; 9(9)2021 Sep 06.
Artigo em Inglês | MEDLINE | ID: mdl-34579231

RESUMO

Ethnic minority populations are more likely to suffer from chronic comorbidities, making them more susceptible to the poor health outcomes associated with COVID-19 infection. Therefore, ensuring COVID-19 vaccination among vulnerable populations is of utmost importance. We aimed to investigate health behaviors and perceptions of COVID-19 vaccination among adults self-reporting diagnosis of cancer and of other chronic comorbidities in Puerto Rico (PR). This secondary analysis used data from 1911 participants who completed an online survey from December 2020 to February 2021. The Health Belief Model was used to measure perceptions surrounding COVID-19 vaccination among individuals self-reporting diagnosis of cancer and of other chronic comorbidities, and healthy adults. Among study participants, 76% were female, 34% were 50 years or older, 5% self-reported cancer diagnosis, and 70% had other chronic comorbidities. Participants self-reporting a cancer diagnosis had two times higher odds of getting vaccinated than healthy individuals (95% CI: 1.00-4.30). Compared to healthy participants, those self-reporting being diagnosed with cancer and those with chronic conditions other than cancer had significantly higher perceived COVID-19 susceptibility and severity. Our findings elucidate the effect of disease status on health-related decision-making and highlights information needed to be included in education campaigns to increase vaccine uptake among ethnic minority populations.

6.
Hum Vaccin Immunother ; 17(10): 3441-3449, 2021 10 03.
Artigo em Inglês | MEDLINE | ID: mdl-34402409

RESUMO

Background: Widespread vaccination against COVID-19 is essential to control the pandemic. Estimates of unwillingness and uncertainty toward COVID-19 vaccination and factors associated with it remain unclear among adults in Puerto Rico (PR).Objective: To examine factors associated with uncertainty and unwillingness of COVID-19 vaccination among adults in PR.Methods: The Health Belief Model was used to develop an online survey. Analyses included adjusted logistic regressions (aOR). A total of 1,911 adults completed the survey from December 2020 to February 2021.Results: Overall, 76.2% were females, 33.7% were aged 50 or older, and 82.7% reported an intent to get vaccinated. Individuals who did not perceive that their chances of getting COVID-19 were high (aOR = 2.94; 95%CI = 2.24-3.86), that getting COVID-19 was not a possibility for them (aOR = 2.86; 95%CI = 2.19-3.74), or unafraid of getting COVID-19 (aOR = 3.80; 95%CI = 2.76-5.23) had higher odds of uncertainty and unwillingness to get vaccinated against COVID-19. Participants who perceived that COVID-19 complications were not serious also had higher odds of uncertainty and unwillingness (aOR = 7.50; 95%CI = 3.94-14.3), whereas those who did not perceive that they would get very sick with COVID-19 had 89% increased odds. Those who agreed that they would only take the vaccine if many individuals took it had higher odds of uncertainty and unwillingness (aOR = 3.32; 95%CI = 2.49-4.43). The most reported reasons for uncertainty and unwillingness toward COVID-19 vaccination were vaccine safety (63.8%), efficacy (49.4%), and novelty (45.5%).Discussion: Although COVID-19 vaccination intent was high, the study highlights concern over vaccine safety and efficacy that should be addressed by public health campaigns and interventions to enhance vaccine uptake.


Assuntos
COVID-19 , Vacinas , Adulto , Atitude , Vacinas contra COVID-19 , Estudos Transversais , Feminino , Humanos , Percepção , Porto Rico , SARS-CoV-2 , Incerteza , Vacinação
7.
Cuad Investig Educ ; 30: 55-70, 2015 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-26770074

RESUMO

Ciencia Puerto Rico, a non-profit organization dedicated to promoting science, research and scientific education among Latinos, organized an educational symposium to provide college science majors the tools, opportunities and advice to pursue graduate degrees and succeed in the STEM disciplines. In this article we share our experiences and lessons learned, for others interested in developing large-scale events to recruit underrepresented minorities to STEM and in evaluating the effectiveness of these efforts.

8.
P R Health Sci J ; 28(3): 219, 2009 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-19715113

Assuntos
Biotecnologia
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