2 resultados para embedded computing

em DigitalCommons@The Texas Medical Center


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Little is known about HIV stigma in Nepal. Findings from other parts of the world suggest that HIV related stigma acts as a limiting factor for People Living with HIV & AIDS (PLHAs) from accessing needed health care and the subsequent psychological outcomes make PLHAs and their immediate family members more vulnerable. The purpose of this study is to understand and describe Nepalese PLHA's and community peoples' experiences regarding sources, types, causes and mechanism of HIV-associated stigma. This study aimed to best utilize the existing data. Study participants were recruited through local Community Based Organizations working in the field of HIV. The data, collected in the form of focus group discussions in workshop settings, were coded and analyzed. Study has revealed key issues related to HIV stigma in Nepal: hierarchy of stigma, denial and rejection, death as a form of punishment and Mumbaiya disease. A conceptual model was developed to explain the HIV stigma in Nepal. Our hope is that this finding, stigma being a contextual variable, will be helpful in triggering a novel public health discourse in the field of HIV stigma in Nepal, which will eventually be helpful for developing policies and interventions to eliminate HIV-associated stigma.^

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Two studies among college students were conducted to evaluate appropriate measurement methods for etiological research on computing-related upper extremity musculoskeletal disorders (UEMSDs). ^ A cross-sectional study among 100 graduate students evaluated the utility of symptoms surveys (a VAS scale and 5-point Likert scale) compared with two UEMSD clinical classification systems (Gerr and Moore protocols). The two symptom measures were highly concordant (Lin's rho = 0.54; Spearman's r = 0.72); the two clinical protocols were moderately concordant (Cohen's kappa = 0.50). Sensitivity and specificity, endorsed by Youden's J statistic, did not reveal much agreement between the symptoms surveys and clinical examinations. It cannot be concluded self-report symptoms surveys can be used as surrogate for clinical examinations. ^ A pilot repeated measures study conducted among 30 undergraduate students evaluated computing exposure measurement methods. Key findings are: temporal variations in symptoms, the odds of experiencing symptoms increased with every hour of computer use (adjOR = 1.1, p < .10) and every stretch break taken (adjOR = 1.3, p < .10). When measuring posture using the Computer Use Checklist, a positive association with symptoms was observed (adjOR = 1.3, p < 0.10), while measuring posture using a modified Rapid Upper Limb Assessment produced unexpected and inconsistent associations. The findings were inconclusive in identifying an appropriate posture assessment or superior conceptualization of computer use exposure. ^ A cross-sectional study of 166 graduate students evaluated the comparability of graduate students to College Computing & Health surveys administered to undergraduate students. Fifty-five percent reported computing-related pain and functional limitations. Years of computer use in graduate school and number of years in school where weekly computer use was ≥ 10 hours were associated with pain within an hour of computing in logistic regression analyses. The findings are consistent with current literature on both undergraduate and graduate students. ^