3 research outputs found

    Predicting COVID-19 vaccination uptake in Armenia using the Health Belief Model: Results from a nationwide survey

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    Health behavior theories have been effectively used for studying populations’ awareness, attitudes, and beliefs related to COVID-19 preventative behaviors. The aim of this study was to explore the factors associated with the intention to get vaccinated against COVID-19 in the Armenian population using the Health Belief Model (HBM) as a framework. We applied stratified two-stage random sampling to conduct a telephone survey of 3,483 adults in 2021. The multi-domain survey instrument included questions on socio-demographic characteristics, COVID-19-related knowledge, COVID-19 susceptibility, severity and self-efficacy beliefs, sources of information on COVID-19, COVID-19 vaccination practice, and its benefits and barriers. We performed bivariate and hierarchical multivariate regression analysis with the entry of variables in blocks. In total, about 12% of the sample (n = 393) was vaccinated against COVID-19. Of 2,838 unvaccinated participants, about 53% (n = 1516) had an intention to get vaccinated. The final hierarchical logistic regression model containing socio-demographic characteristics, knowledge about COVID-19, and HBM constructs explained 43% of the variance in the intention to get vaccinated against COVID-19. Participants’ age, employment status, average monthly expenditures, perceived threat, benefits, perceived barriers, self-efficacy, and cues to action were significant and independent predictors of the intention to get COVID-19 vaccination. This study confirmed the utility of the HBM in highlighting drivers of an important health-protective behavior in the context of pandemics. Health policy makers, communication specialists, and healthcare providers should particularly stress the effectiveness and safety of the vaccines in their efforts to increase vaccination rates and focus on unemployed and low-income population groups

    Risk factors for children’s blood lead levels in metal mining and smelting communities in Armenia: a cross-sectional study

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    Abstract Background Children’s exposure to lead poses a significant risk for neurobehavioral consequences. Existing studies documented lead contamination in residential soil in mining and smelting communities in Armenia. This study aimed to assess blood lead levels (BLL) in children living in three communities in Armenia adjacent to metal mining and smelting industries, and related risk factors. Methods This cross-sectional study included 159 children born from 2007 to 2009 and living in Alaverdi and Akhtala communities and Erebuni district in Yerevan - the capital city. The BLL was measured with a portable LeadCare II Blood Lead Analyzer; a survey was conducted with primary caregivers. Results Overall Geometric Mean (GM) of BLL was 6.0 μg/dl: 6.8 for Akhtala, 6.4 for Alaverdi and 5.1 for Yerevan. In the sample 68.6 % of children had BLL above CDC defined reference level of 5 μg/dl: 83.8 % in Akhtala, 72.5 % in Alaverdi, and 52.8 % in Yerevan. Caregiver’s lower education, dusting furniture less than daily, and housing distance from toxic source(s) were risk factors for higher BLL. Additional analysis for separate communities demonstrated interaction between housing distance from toxic source(s) and type of window in Erebuni district of Yerevan. Conclusions The study demonstrated that children in three communities adjacent to metal mining and smelting industries were exposed to lead. Investigation of the risk factors suggested that in addition to promoting safe industrial practices at the national level, community-specific interventions could be implemented in low- and middle-income countries to reduce BLL among children
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