Sex differences and factors associated with disability among Ghana's workforce: a nationally stratified cross-sectional study.

OBJECTIVE: This study was conducted to estimate the prevalence of disability and associated factors and further quantify the associated sex differential among Ghana's workforce aged 15+ years. DESIGN: A nationally stratified cross-sectional study. SETTING: Ghana. PARTICIPANTS: Individuals aged 15 years and above. OUTCOME MEASURE: Disability that limits full participation in life activities. METHODS: Three predictive models involving Poisson, logistic and probit regression were performed to assess the association between disability and covariates. Modified Poisson multivariate decomposition analysis method was employed to assess sex differential and associated factors using Stata V.16. RESULTS: The prevalence of disability was 2.1% (95% CI 1.2 to 2.4), and the risk of disability among males was approximately twice compared with females (Poisson estimate: adjusted prevalence ratio (95% CI)=1.94 (1.46 to 2.57); logistic estimate: aOR (95% CI)=2.32 (1.73 to 3.12)). Male sex increased the log odds of disability by 0.37 (probit estimate, aß (95% CI)=0.37 (0.23 to 0.50)). The variability in age group, marital status, household (HH) size, region, place of residence, relationship to HH head, hours of work per week and asset-based wealth were significantly associated with disability-based sex differential. (Significant increased endowment: ß×10-3 (95% CI×10-3)=-37.48 (-56.81 to -18.16) and significant decreased coefficient: ß×10-3 (95% CI×10-3)=42.31 (21.11 to 63.49).) All disability participants were challenged with activities of daily living, limiting them in full participation in life activities such as mobility, work and social life. CONCLUSION: The magnitude of experiencing disability among working males was nearly twice that of females. Sex differentials were significantly associated with age groups, marital status, HH size, region of residence, relationship to HH head, hours of work per week and wealth. Our findings amass the provisional needs of persons living with a disability that are indicators to consider to achieve the United Nations Convention on the Rights of Persons with Disabilities Article 10. In addition, formulation of workplace policies should adopt a gender-sensitive approach to reduce disparities and eliminate disability in the target population.

Crash severity modelling using ordinal logistic regression approach.

Road traffic accident is one of the major problems facing the world. The carnage on Ghana's roads has raised road accidents to the status of a 'public health' threat. The objective of the study is to identify factors that contribute to accident severity using an ordinal regression model to fit a suitable model using the dataset extracted from the database of Motor Traffic and Transport Department, from 1989 to 2019. The results of the ordinal logistic regression analyses show that the nature of cars, National roads, over speeding, and location (urban or rural) are significant indicators of crash severity. Strategies to reduce crash injuries should physical enforcement through greater Police presence on our roads as well as technology. There is also the need to train drivers to be more vigilant in their travels especially on the national roads and in the urban areas. The Recommendation is, a well thought out and contextualised written laws and sanctioned schemes to monitor and enforce strict compliance with road traffic rules should be put in place.