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This study investigated the levels of selected indoor air pollutant concentrations and microclimatic conditions in restaurants and kitchens at a tertiary institution in Benin City using standard procedures. Ten (10) restaurants and kitchens were randomly selected within the University environment. Indoor particulates (PM1.0, PM2.5 and PM10), Carbon monoxide (CO), Relative humidity (RH), Temperature (Temp) and Wind speed (WS) were measured using Handheld Portable Air Samplers. The results showed that the indoor meteorological and air quality parameters ranged between 34.8 - 35.8°C and 34.5 - 35.9°C (Temp); 42.8 -70.2% and 39.7 - 66.9 (RH); 1.1 - 2.0 m/s and 1.2 - 1.8 m/s (WS); 0.0 - 25.4 and 0.0 - 28.7 mg/m3 (CO); 28.9 - 42.4 µg/m3 and 24.4 µg/m3 - 30.6 (PM1.0); 47.0 - 75. µg/m3 and 37.4 - 50.3 µg/m3 (PM2.5); 62.3 - 91.0 µg/m3 and 53.6 - 56.8 µg/m3 (PM10) within the restaurants and kitchens respectively. The mean concentrations of the CO and particulates were above the recommended regulatory limits of the WHO in all sampling sites. There were generally weak significant associations between the observed meteorological parameters and the indoor air pollutants (R= -0.352, - 0.419 p<0.001), except for CO and indoor temperature in the kitchens (R=0.649, R2 = 0.429 p<0.001). The Air Quality Index (AQI) status of the sampled sites varied from moderate to unhealthy. This study underscores the need for adequate ventilation in the sampled restaurants and kitchens and the creation of awareness of the health risks associated with indoor air pollutants in the study area.

This study was conducted to determine the noise exposure level and the association between self-reported health effects and risk factors among workers in auto mechanic workshops in Abeokuta town, Nigeria. Noise levels were measured at selected auto mechanic sites. A cross-sectional study was also conducted among fifty workers using a wellstructured questionnaire across the sampling sites. The recorded noise level in the morning and afternoon ranged between 61.3 - 75.8 dB and 70.4 and 86.4dB respectively. The noise values in the afternoon were significantly higher than the morning noise levels (t = -2.231; p = 0.030). The noise levels were above the WHO permissible limits in all the sampling locations. The overall occurrence of self-reported health effects were hearing loss (32%), annoyance (62%), irritation (72%), insomnia (16%), ringing in ears (44%), fatigue (44%), and high blood pressure (18%). The reported noise-induced health effects were associated with the age of the workers, duration of noise exposure and perceived noise sources in the study area. In the binomial regression model, exposure to occupational noise for 8 – 12 hours daily was an independent determinant risk factor of hearing loss (OR = 2.27, 95% Cl, 1.21-24.88) and fatigue (OR = 5.00, 95% Cl, 1.16-21.50). The implementation of correct wearing of earplugs among workers and the creation of awareness on noise-induced health effects to reduce noise exposure in the working environment would help in protecting exposed workers in the study area.

Noise pollution is a problem in many countries around the world. In schools, exposure to noise causes a wide range of adverse effects on the health and performances of students and teachers. This study evaluated indoor noise exposure and related health risks in selected offices, classrooms and laboratories in a tertiary institution within Edo state, Nigeria using a digital sound level meter (Smart Sensor Model AS824). The mean levels of noise in the selected offices, classes and laboratories ranged from 44.1 – 57.9 dB, 52.8- 60.7 9 dB, and 51.1 – 58.4 dB respectively across the Faculty. The mean noise levels all exceeded the WHO and NESREA limits for noise in educational facilities. The level of noise measured in classrooms was significantly higher than those of offices and laboratories in the departments of Computer science (F=4.117; p=0.009), Chemistry (F= 6.41; p = 0.01), and Mathematics (F=3.75; P=0.01). The interactions among students during lectures and operations of office appliances were the most reported sources of high levels of noise in the study area. Stress, fatigue and high blood pressure were mostly identified among students and lecturers as health effects of high noise levels within the Faculty. The planting of trees, installation of sound insulators and awareness creation on the health effects of noise pollution in the institution are strongly recommended.