PREVALENCE AND DETERMINANTS

among households was 383 (76.6%). Food insecurity was higher among respondents aged ≥65 years (86.4%; p = 0.010), married respondents (85.7%; p = 0.004), those with primary education (95.3%; p < 0.001), retired respondents (94.3%; p = 0.017), and those with skill level 2 (85.8%;p < 0.001). It was also higher in households with monthly income ≤ ₦180,000 (84.1%; p < 0.001)and monthly food expenditure ≤ ₦100,000 (82.5%; p < 0.001), and among respondents with good perception of food insecurity (81.5%; p = 0.008). Married respondents had higher odds of food insecurity (OR = 2.135; p = 0.008). Higher education (OR = 0.272; p = 0.017), employment (OR = 0.210; p = 0.012), higher skill level (OR = 0.458; p = 0.001), and home ownership (OR =0.592; p = 0.040) were associated with lower odds, while increasing number of children increased the odds of food insecurity (OR = 1.236; p = 0.047). Overall, 57.2% of respondents had good knowledge of food insecurity, and 52.0% had a good perception of food security.Knowledge of food insecurity was associated with marital status, where a higher proportion of respondents who were not married had good knowledge (66.4%; p = 0.020). Higher proportions of respondents with monthly household income ≤ ₦180,000 (63.3%; p = 0.003) and those who spent ≤ ₦100,000 on food (61.7%; p = 0.010) had good knowledge of food insecurity. Marital status was associated with lower odds of good knowledge (OR = 0.505; p = 0.007). Higher education increased the odds of good knowledge (OR = 2.351; p = 0.005), while higher skill level reduced the odds of having good knowledge (OR = 0.657; p = 0.036). Perception of food insecurity was associated with level of education, where a higher proportion ofrespondents with tertiary education had good perception (55.7%; p < 0.001). A higher proportion of respondents with access to a nearby food market also had good perception (55.0%; p < 0.001). Higher education increased the odds of good perception (OR = 3.380; p < 0.001), while access to a nearby food market increased the odds of good perception (OR = 2.777; p < 0.001). Food

Background: Musculoskeletal disorders (MSDs) are a significant public health concern globally, affecting individuals across various occupations, and academic staffs are at risk of Work related musculoskeletal disorders due to the nature of their work which involves prolonged sitting, repetitive tasks, and ergonomic challenges in their workplaces. Aim: The aim of this study was to determine the prevalence of Musculoskeletal symptoms and identify the key determinants contributing to these symptoms among academic staff in university of Benin, Edo state. Methods: Purposive sampling was used to select 14 faculties in UNIBEN, and 180 lecturers were randomly selected from each faculty. An adapted version of the Nordic Musculoskeletal questionnaire was used to obtain information on socio-demographic data and MSK symptoms, while descriptive statistics and inferential statistics of Chi square were used to summarise and analyse data respectively. Alpha level was 0.05. Results: This study showed that musculoskeletal symptoms were most prevalent in the upper back (50.3%), closely followed by knee (41.3%), lower back (40.2%) and neck (37.4%). Gender and BMI status had significant association with Musculoskeletal symptoms (P<0.05). Conclusion: The burden of musculoskeletal disorders among academic staff of the University of Benin was common, with gender and BMI having significant association with Musculoskeletal symptoms. Keywords: Musculoskeletal disorders, Musculoskeletal symptoms, Prevalence , Determinant