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University Teachers' Decisions on Post-retirement Employment: Do Demographic Variables Count?

ABSTRACT: This research aimed to determine whether demographic characteristics of retiring university teachers were significantly associated with their post-retirement employment decisions, using three psychosocial theories-role theory, continuity theory and life course theory. The research used the cross-sectional survey design and relied on the simple random sampling technique to sample 235 participants who were left with 5 years or less to reach Ghana's compulsory retirement age of 60 years. The participants were selected across 20 public universities in Ghana to complete a questionnaire. Based on a binary logistic regression analysis, the research found that, apart from the rank and health status of the participants, other variables such as gender, kind of university, family size, marital status and levels of involvement in university activities significantly determined the participants' decisions regarding a working life after retirement. Against this backdrop, the research concluded that within the academic milieu, certain demographic factors were key determinants of post-retirement employment decisions.

SUBMITTER: Salifu I

PROVIDER: S-EPMC8477707 | biostudies-literature | 2021 Jan-Dec

REPOSITORIES: biostudies-literature

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University Teachers' Decisions on Post-retirement Employment: Do Demographic Variables Count?

Salifu Inusah I Odame Ebenezer D ED Abubakar Jibreel U JU

Gerontology & geriatric medicine 20210101

This research aimed to determine whether demographic characteristics of retiring university teachers were significantly associated with their post-retirement employment decisions, using three psychosocial theories-role theory, continuity theory and life course theory. The research used the cross-sectional survey design and relied on the simple random sampling technique to sample 235 participants who were left with 5 years or less to reach Ghana's compulsory retirement age of 60 years. The partic ...[more]

PMID: 34595329

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Project description:ImportancePost-acute sequelae of SARS-CoV-2, referred to as "long COVID", are a globally pervasive threat. While their many clinical determinants are commonly considered, their plausible social correlates are often overlooked.ObjectiveTo compare social and clinical predictors of differences in quality of life (QoL) with long COVID. Additionally, to measure how much adjusted associations between social factors and long COVID-associated quality of life are unexplained by important clinical intermediates.Design setting and participantsData from the ISARIC long COVID multi-country prospective cohort study. Subjects from Norway, the United Kingdom (UK), and Russia, aged 16 and above, with confirmed acute SARS-CoV-2 infection reporting >= 1 long COVID-associated symptoms 1+ month following infection.ExposureThe social exposures considered were educational attainment (Norway), employment status (UK and Russia), and female vs male sex (all countries).Main outcome and measuresQuality of life-adjusted days, or QALDs, with long COVID.ResultsThis cohort study included a total of 3891 participants. In all three countries, educational attainment, employment status, and female sex were important predictors of long COVID QALDs. Furthermore, a majority of the estimated relationships between each of these social correlates and long COVID QALDs could not be attributed to key long COVID-predicting comorbidities. In Norway, 90% (95% CI: 77%, 100%) of the adjusted association between the top two quintiles of educational attainment and long COVID QALDs was not explained by clinical intermediates. The same was true for 86% (73%, 100%) and 93% (80%,100%) of the adjusted associations between full-time employment and long COVID QALDs in the United Kingdom (UK) and Russia. Additionally, 77% (46%,100%) and 73% (52%, 94%) of the adjusted associations between female sex and long COVID QALDs in Norway and the UK were unexplained by the clinical mediators.Conclusions and relevanceThis study highlights the role of socio-economic status indicators and female sex, in line with or beyond commonly cited clinical conditions, as predictors of long COVID-associated QoL, and further reveal that other (non-clinical) mechanisms likely drive their observed relationships. Our findings point to the importance of COVID interventions which go further than an exclusive focus on comorbidity management in order to help redress inequalities in experiences with this chronic disease.

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University Teachers' Decisions on Post-retirement Employment: Do Demographic Variables Count?

Publications

University Teachers' Decisions on Post-retirement Employment: Do Demographic Variables Count?

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