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Data set on work routine management among academic staff in selected Nigerian University: The eustress perspective.

ABSTRACT: Academics undergo stress, which negatively affects their performance and management does not seem to provide adequate organizational support for people suffering from occupational stress. This data captures eustress among university academic staff and coping strategies to improve performance. Previous studies on stress among academics focused on their experience of distress, with little attempt to explore eustress. particularly in the Nigerian context. A mixed method approach was adopted to elicit information from the sampled 444 respondents and twelve in-depth interviews were also conducted. Descriptive and inferential research methods were used for the analysis. The quantitative data were analyzed using Partial Least Square-Structural Equation Modelling (PLS-SEM), while the qualitative data were subjected to manual thematic analysis.

SUBMITTER: Peter A

PROVIDER: S-EPMC8640227 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature

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Data set on work routine management among academic staff in selected Nigerian University: The eustress perspective.

Peter Adeshola A Adeniji Anthonia A Oladele Kehinde K Peter Fred F Inegbedion Henry H Sajuyigbe Ademola A

Data in brief 20211126

Academics undergo stress, which negatively affects their performance and management does not seem to provide adequate organizational support for people suffering from occupational stress. This data captures eustress among university academic staff and coping strategies to improve performance. Previous studies on stress among academics focused on their experience of distress, with little attempt to explore eustress. particularly in the Nigerian context. A mixed method approach was adopted to elic ...[more]

PMID: 34901345

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Project description:BackgroundWork-related musculoskeletal symptoms (WMSs) are common injuries or pains that primarily affect various body structures. It is difficult to estimate the burden of WMSs in developing countries such as Ethiopia due to a lack of evidence, particularly among university academic staff. There is a universal and rapidly growing need for information about WMSs, as this is the main challenge to public health and economic burden. The purpose of this study was to determine the magnitude of work-related musculoskeletal symptoms and their associated factors among academic staff in Ethiopian universities.MethodsFrom February 2 to March 24, 2021, a web-based cross-sectional study was conducted among 422 academic staff members working in Ethiopian universities. A structured and self-administered Google Form questionnaire was sent and shared with the academic staff via their email addresses, Facebook, and Telegram accounts. Using a p-value of <0.05 and a 95% confidence interval, multivariable logistic regression was used to identify factors associated with the outcome variable.ResultsAround 321 (77.2%) of the 416 participants were reported to have work-related musculoskeletal symptoms at least in one part of the body (95% CI: 73.1, 81.5%), with 28.1% reporting lower back pain. Respondents working in second-stage universities (AOR = 7.35, 95% CI 3.21, 16.79), being 44 years old or older (AOR = 7.89, 95% CI 2.10, 21.57), having a Ph.D. (AOR = 7.09, 95% CI 1.50, 17.93), engaging in physical activity (AOR = 3.32, 95% CI 1.43, 7.74), and working on a computer (AOR = 6.89, 95% CI 2. 0.72, 19.15) were the factors associated with work-related musculoskeletal symptoms.ConclusionAlmost three-quarters of academic staff reported work-related musculoskeletal symptoms in this survey. Factors such as university establishment stage, age, educational status, physical activity, and frequent computer use were found to be significantly associated with work-related musculoskeletal symptoms.

Dataset Information

Data set on work routine management among academic staff in selected Nigerian University: The eustress perspective.

Publications

Data set on work routine management among academic staff in selected Nigerian University: The eustress perspective.

Similar Datasets

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