Abstract:The issue of healthy educational buildings is a global concern because children are particularly at risk of lung damage and infection caused by poor indoor air quality (IAQ). This article presents the results of a preliminary study of the concentration and size distribution of bacterial aerosol in three educational buildings: a preschool, primary school, and high school. Sampling was undertaken in the classrooms with an Andersen six-stage impactor (with aerodynamic cut-off diameters of 7.0, 4.7, 3.3, 2.1, 1.1 and 0.65 µm) during spring 2016 and 2017, as well as the outside of the buildings. After incubation, bioaerosol particles captured on nutrient media on Petri dishes were quantitatively evaluated and qualitatively identified. The highest average concentration of bacterial aerosol was inside the primary school building (2205 CFU/m 3 ), whereas the lowest average concentration of indoor culturable bacteria was observed in the high school building (391 CFU/m 3 ). Using the obtained data, the exposure dose (ED) of the bacterial aerosol was estimated for children attending each educational level. The most frequently occurring species in the sampled bacterial aerosol were Gram-positive cocci in the indoor environment and Gram-positive rod-forming endospores in the outdoor environment.

Background: Despite of the availability of Highly Active Antiretroviral Therapy, people living with HIV/AIDS suffer from socioeconomic, behavioral and psychosocial related factors affecting their quality of life. Previous studies assessed the magnitude of quality of life but the present one will identify behavioral and psychosocial factors associated with poor quality of live among adult PLWHIV on Antiretroviral therapy in the study setting.Objective: To identify behavioral and psychosocial determinants of Quality of life among Adult PLWHIV on HARRT, in Public Hospitals of Jimma Zone, South West, Ethiopia 2018.Method: Institution based unmatched case control study was employed. Simple random sampling technique was used to select cases and controls using screening criteria. Interviewer administered data collection method was used. Data were entered into Epi-Data and analyzed using SPSS version 20. Bivariate and multivariate logistic regressions were performed. The study was conducted from March 10-April 10- 2018.Results: A total of 75(25%) cases and 225(75%) of controls included in the study. Finally, the odds of poor quality of life among underweight (BMI kg/m2) 2.7 times [AOR 2.7 95%CI (1.0, 7.1)] more likely than normal /obese respondents, khat chewing 1-4 times/weak/month about 4.5 times [AOR 4.5 95%CI (1.85, 10.9)] and at daily intervals 4.7 times more [AOR 4.7 95% CI (1.18, 18.8)] likely than who never chew respectively. Being dissatisfied from support AOR 9.8 95% CI (1.9, 50), Stigmatized patients 8 times more likely than non-stigmatized AOR 8.0 95%CI (3.6, 18.1). Moreover, the odds of poor quality of life among severely depressed patients were 4 times AOR 4.0 95% CI (1.67, 9.83) more likely than mild depressed patients.Conclusion: Being underweight (BMI kg/m2), khat chewing 1-4 times/weak/month, khat chewing at daily interval, being dissatisfied from support, stigma and depression were independently associated. This may inform possible interventions to reduce comorbidities and disease exacerbation by improving on dietary and nutritional programs and support, reducing behavioral factors, improving social support, reducing stigma and depression by appropriate counseling and strengthening currently existing Information Education Communication to help develop life skills.

Background: Despite of the availability of Highly Active Antiretroviral Therapy, people living with HIV/AIDS suffer from socioeconomic, behavioral and psychosocial related factors affecting their quality of life. Previous studies assessed the magnitude of quality of life but the present one will identify behavioral and psychosocial factors associated with poor quality of live among adult PLWHIV on Antiretroviral therapy in the study setting.Objective: To identify behavioral and psychosocial determinants of Quality of life among Adult PLWHIV on HARRT, in Public Hospitals of Jimma Zone, South West, Ethiopia 2018.Method: Institution based unmatched case control study was employed. Simple random sampling technique was used to select cases and controls using screening criteria. Interviewer administered data collection method was used. Data were entered into Epi-Data and analyzed using SPSS version 20. Bivariate and multivariate logistic regressions were performed. The study was conducted from March 10-April 10- 2018.Results: A total of 75(25%) cases and 225(75%) of controls included in the study. Finally, the odds of poor quality of life among underweight (BMI kg/m2) 2.7 times [AOR 2.7 95%CI (1.0, 7.1)] more likely than normal /obese respondents, khat chewing 1-4 times/weak/month about 4.5 times [AOR 4.5 95%CI (1.85, 10.9)] and at daily intervals 4.7 times more [AOR 4.7 95% CI (1.18, 18.8)] likely than who never chew respectively. Being dissatisfied from support AOR 9.8 95% CI (1.9, 50), Stigmatized patients 8 times more likely than non-stigmatized AOR 8.0 95%CI (3.6, 18.1). Moreover, the odds of poor quality of life among severely depressed patients were 4 times AOR 4.0 95% CI (1.67, 9.83) more likely than mild depressed patients.Conclusion: Being underweight (BMI kg/m2), khat chewing 1-4 times/weak/month, khat chewing at daily interval, being dissatisfied from support, stigma and depression were independently associated. This may inform possible interventions to reduce comorbidities and disease exacerbation by improving on dietary and nutritional programs and support, reducing behavioral factors, improving social support, reducing stigma and depression by appropriate counseling and strengthening currently existing Information Education Communication to help develop life skills.

Despite the availability of Highly Active Antiretroviral Therapy, the quality of life (QOL) of People Living with HIV/AIDS (PLWHIV) has continued to be affected. However, previous studies focused on the magnitude and clinical determinants which lacks behavioral and psychosocial factors of QOL. Thus, this study aimed to identify behavioral and psychosocial determinants of QOL among Adult PLWHIV on HARRT, in Public Hospitals of Jimma Zone, South West, Ethiopia, 2018. A cross-sectional study design was conducted in Public Hospitals of Jimma Zone, Southwest Ethiopia from March 10 to April 10/2018. QOL of was measured using WHOQOL-HIV BREF instrument. A simple random sampling technique was employed to enroll study participants. A pretested interviewer-administered structured questionnaire was used to collect data. Then, data were entered into Epi-Data version 3.1 and analyzed using SPSS version 20. Bivariate and multiple variable logistic regression analyses were also performed. A total of 300 respondents were enrolled into the study yielding a response rate of 97.7%. The majority of respondents were from urban residence and between 35–44 years of age. About 47% of respondents have ever used substances, and 58.3% have obtained social support. Nearly 80% and 26.3% of the study participants were stigmatized and severely depressed. More than half of the study participants had good overall QoL with the highest domain QOL in level of independence and lowest in social relations. Factors associated with poor physical health include being government employee AOR 0.33 95%CI (0.15, 0.69), from private business AOR 0.33 95%CI (0.14, 0.79), being 1st wealth quintile AOR 2.44 95%CI (1.16, 5.14), and not obtaining financial support AOR 4.27 95%CI (1.94, 9.42). Lower wealth index has been associated with almost all domain scores of poor QOL except spiritual domain. More than half of the respondents had good overall QoL with the highest domain score in level of independence and lowest in social relations domain. Several factors have contributed to poor domain QOL of PLWHIV. Therefore, it will become all the most important to develop effective strategies, policies and programs targeting people living with HIV. Emphasis should be given to the socio-economic factors that affect their QOL on HAART. Professional counseling and guidance with life skill packages should be strengthened to cope up with adverse behavioral factors. Finally, psychosocial support should be provided from all responsible bodies.