Coronavirus disease 2019 (COVID-19) pandemic is rapidly evolving and is a serious public health threat worldwide. Timely and effective control of the pandemic is highly dependent on preventive approaches. Perception of risk is a major determinant of health behavior. The current study explores the association between actual risk and perceived risk for one’s self, family/friends and friends, and community. A questionnaire was administered to participants in Central Appalachia (n = 102). The actual risk was based on the number of chronic conditions of the following conditions: hypertension, heart disease, cancer, diabetes, and chronic obstructive pulmonary disease. Participants were also queried about their perception of risk for COVID-19. Generalized Linear Models were used to independently evaluate the likelihood of perceived risk for one’s: self, family/friends, and community, based on actual risk. Actual risk for COVID-19 was significantly associated with higher likelihood of higher perception of risk for one’s self (b = 0.24; p = 0.04), but not with one’s family/friends (b = 0.05; p = 0.68), or one’s community (b = 0.14; p = 0.16). No health insurance was negatively associated with perception of risk for self (b = −0.59; p = 0.04) and family/friends (b = −0.92; p < 0.001). Male gender (b = −0.47; p = 0.01) was also negatively associated with perception of risk for family/friends. In conclusion, individuals’ actual risk for COVID-19 is associated with their own perception of risk. This indicates that one’s perception of risk for COVID-19 is greater for their own health compared to their family/friends or the community. Therefore, monitoring and following up with chronic disease patients and addressing their lack of awareness of risk to others is needed to prevent and curtail the spread of COVID-19.
Introduction: The United States Centers for Disease Control and Prevention (CDC) issued behavioral recommendations to limit the spread of the novel coronavirus disease-2019 (COVID-19). No studies have examined the influence of various factors on adherence to COVID-19 preventive measures. Among individuals with co-morbidities, such as cardiovascular disease (CVD) and residing in rural communities, adherence is essential as they are at an increased risk of COVID-19 infection and increased disease severity. Objective: This study aims to explore factors influencing adherence to evidence-based recommendations for preventing COVID-19 among patients/family caregivers with CVD in rural Central Appalachia. Methods: During March-April 2020, 102 CVD Stakeholders - patients/family caregivers, community leaders, and providers from six states across Appalachia participated in a survey administered through REDCap. This study used a subsample (n=73) that excluded providers. Adherence score was defined as the rate of compliance with health authorities’ guidelines, including handwashing, physical distancing, staying home if sick, wearing a face mask, disinfecting and cleaning daily, and cough and sneezing etiquette. Simple and multiple linear regressions were performed to examine associations between adherence scores and variables of interest. Results: Over half (53.42%) of participants complied with all guidelines. Gender, employment status, hypertension, smoking, no insurance, getting information about COVID-19 from Government/CDC website, and getting information about COVID-19 from worship place/club were significantly associated with adherence to CDC recommendations (p<0.05). Compared to low personal perception of threat (PPT), having no and high PPT were associated with lower and higher adherence scores, respectively (β= -2.32, 1.42; p=0.001). Compared to low perception of COVID-19 threat towards family/friends, having moderate or high perception of COVID-19 threat toward family/friends was associated with improved adherence (β= 1.3, 1.57; p<0.05 for both), whereas having no perception was negatively associated with adherence (β= -2.08, p=0.003). Moderate and high perception of COVID-19 threat toward one's community (β= 2.14, 2.06; p<0.001) were likewise associated with higher adherence. R squared for the model= 0.459. Conclusion: Moderate and high perceptions of COVID-19 threats are associated with higher adherence, whereas no perception was associated with lower adherence with health authority recommendations for COVID-19 prevention. These factors should be considered in order to develop effective adherence interventions for CVD stakeholders in rural communities. Results should be confirmed in a larger study.
Background: Suicide rates in the U.S. have continued to rise over the last 2 decades. The increased availability and broader legalization of cannabis is a public health concern, particularly among adolescents. The objective of this study was to examine the association between the age of cannabis initiation and lifetime suicidal ideations and attempts in a sample of adults aged 18 or older. Methods: Data are from the Collaborative Psychiatric Epidemiology Surveys (CPES), 2001 to 2003 (N = 15 238). The primary objective of the CPES was to collect data about the prevalence of mental disorders, impairments associated with these disorders, and their treatment patterns from representative samples of majority and minority adult populations in the U.S. Logistic regression analyses were conducted to test the association between cannabis initiation age (early ⩽14 years old; later >14 years old) and outcomes of lifetime suicide ideation and attempts. Cigarette use, cannabis use, gender, income, race, education, and age were controlled for the analyses. Results: Overall, 12.5% of participants reported suicide ideation, while 4.2% reported attempt. Early cannabis use was associated with a higher risk of suicide ideation (AOR = 3.32, 95% CI [2.75, 3.80]) than later cannabis use (AOR = 2.15, 95% CI [1.92, 2.39]). Early cannabis use was associated with a higher risk of suicide attempt (AOR = 4.38, 95% CI [3.48, 5.52]) than later cannabis use (AOR = 2.56, 95% CI [2.14, 3.06]). Wald chi-squared tests revealed significant differences between the early and late initiation for both ideation (χ2 = 26.99; P < .001) and attempts (χ2 = 26.02; P < .001). Conclusions: Significant associations were found between early initiation of cannabis and suicide behaviors. As suicide rates continue to rise, it is recommended that clinicians, treatment providers, and other professionals consider the use of cannabis at an early age as a risk for subsequent suicide behaviors.
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