Open Access Pub publishes peer-reviewed, free-to-read open-access articles. Showing
articles matching Socio-Demographics — open any to read the full text,
or download the PDF or XML.
COVID-19 remains a global public health emergency till date. It is eminent that the transmission of the disease is subjective to people’s readiness to implement public health preventative strategies and these are often related to knowledge. Proper public knowledge about COVID-19 plus its predisposing factors is critical to effectively manage the increasing public health risks. However, socio-demographics have been implicated to COVID-19 infection risk and management outcome. Thus, this present study examined the influence of knowledge on COVID-19 risk outcome, the contribution of socio-demographics on the risk of COVID-19 and predicted synergistic effects of knowledge and socio-demographics on the risk of COVID-19. All measured was strictly perception amongst African sampled with an online Google form as the primary data source. The Correlation designed used Zr Statistics of Fisher Transformation to determine the differences between the two correlation coefficients of the prediction variables after an initial test using Pearson Product Moment Correlation between COVID-19 risk and Knowledge plus socio-demographic. The hypothesis was tested using Statistical Package for Social Science version 21 and iStat at varying significant levels of 0.05 and 0.01 respectively. Generally, a significant relationship exists between COVID-19 risk and knowledge level but not with composite socio-demographics. However, specific significant relationship (p<0.05) was noticed between COVID-19 risk and age (r=0.220) as well as marital status (r=-0.158). Educational level, location, and sex showed no correlation (p>0.05) with COVID-19 exposure. Also, the proposition of no significant difference between correlation coefficients of socio-demographics and knowledge was proven otherwise (p<0.05). The regression model (R2=0.420 and adjusted R2=0.404, df=2, 336, F-value=27.012. p=0.00) significantly predicted the synergic contributions of knowledge level and socio-demographics to COVID-19 exposure. 40.04% of the COVID-19 risk exposure can be explained by socio-demographics and knowledge about COVID-19. Synergic contribution of knowledge and socio-demographics proved risk prediction to COVID-19. Traditional factor like age should be decidedly considered and attention should be drawn towards good knowledge about COVID-19 especially its signs and symptoms plus transmission.
South Asian women in the United States face disproportionate health challenges, including higher rates of intimate partner violence as well as higher rates of Type 2 diabetes and gestational diabetes compared to other racial and ethnic groups. This cross-sectional study examines the association between intimate partner violence (psychological, physical, and sexual) and the diagnosis of gestational diabetes and type 2 diabetes. A web-based survey recruited 2,634 South Asian women in the U.S., collecting data on socio-demographics, intimate partner violence experiences, stress levels, and diabetes diagnosis. Logistic regression models adjusted for significant sociodemographic factors revealed that women with a history of intimate partner violence were 5.82 significantly more likely to report a type 2 diabetes diagnosis and 3.91 more likely to report a gestational diabetes diagnosis. Furthermore, stress as measured by the perceived stress scale, was also higher among women with intimate partner violence, potentially moderating the relationship between intimate partner violence and adverse health outcomes through cortisol dysregulation. Despite high levels of educational attainment and employment, the prevalence of intimate partner violence was alarmingly high (66.7%), highlighting its pervasive impact on socioeconomic strata. These findings underscore the urgent need for culturally tailored interventions addressing intimate partner violence and its health consequences within South Asian communities. Further research is warranted to elucidate causal pathways and inform integrated public health strategies to mitigate disparities in chronic disease and intimate partner violence-related health outcomes.