5 research outputs found

    Treating Emotional Distress through the use of Emotion and Cognitive-Based Therapies

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    This article will present an integrated approach for treating emotional distress. The authors review the purposes of emotions and explore how they operate in individuals’ lives based on learned responses and inaccurate perceptions. Distinct categories of emotions are identified, including both maladaptive and adaptive forms. Basic ideologies and negative evaluations will also be reviewed to illustrate how these patterns develop and maintain disturbing conditions. The authors will examine the complimentary association between affective and cognitive material and how treating both in therapy can be beneficial. Emotion and cognitive-based interventions will be presented through the use of a case study

    Population-Based Correlates of Covid-19 infection: an analysis From the Dfw Covid-19 Prevalence Study

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    BACKGROUND: COVID-19 has resulted in over 1 million deaths in the U.S. as of June 2022, with continued surges after vaccine availability. Information on related attitudes and behaviors are needed to inform public health strategies. We aimed to estimate the prevalence of COVID-19, risk factors of infection, and related attitudes and behaviors in a racially, ethnically, and socioeconomically diverse urban population. METHODS: The DFW COVID-19 Prevalence Study Protocol 1 was conducted from July 2020 to March 2021 on a randomly selected sample of adults aged 18-89 years, living in Dallas or Tarrant Counties, Texas. Participants were asked to complete a 15-minute questionnaire and COVID-19 PCR and antibody testing. COVID-19 prevalence estimates were calculated with survey-weighted data. RESULTS: Of 2969 adults who completed the questionnaire (7.4% weighted response), 1772 (53.9% weighted) completed COVID-19 testing. Overall, 11.5% of adults had evidence of COVID-19 infection, with a higher prevalence among Hispanic and non-Hispanic Black persons, essential workers, those in low-income neighborhoods, and those with lower education attainment compared to their counterparts. We observed differences in attitudes and behaviors by race and ethnicity, with non-Hispanic White persons being less likely to believe in the importance of mask wearing, and racial and ethnic minorities more likely to attend social gatherings. CONCLUSION: Over 10% of an urban population was infected with COVID-19 early during the pandemic. Differences in attitudes and behaviors likely contribute to sociodemographic disparities in COVID-19 prevalence

    Variation Interpretation Predictors: Principles, Types, Performance, and Choice

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