Predictors of Psychosocial Adjustment among Retirees in Zimbabwe: Testing a Resource-Based Model
Abstract: Background: Retirement is a critical life transition that can significantly affect psychological well-being, yet the predictors of successful adjustment in low-resource African settings remain understudied (Wang & Shi, 2014; Hsu et al., 2025). Grounded in the resource-based dynamic model of retirement adjustment (Wang et al., 2011; Froidevaux et al., 2024), this study examined the psychosocial adjustment of retirees aged 60 and above who were beneficiaries of the National Social Security Authority (NSSA) pension scheme in Masvingo Province, Zimbabwe. Materials and Methods: A cross-sectional survey was conducted with a sample of 80 retirees (52.5% female; mean age 64.2 years) who had retired within the preceding 24 months. Participants completed an adapted version of the Health and Retirement Study Psychosocial and Lifestyle Questionnaire (Smith et al., 2013), which demonstrated acceptable internal consistency (α > .70 for all composite scales). Hierarchical logistic regression analysis was used to identify predictors of life satisfaction, the primary indicator of adjustment (Cheung & Lucas, 2014). Results: Results indicated that 72.5% of retirees reported low life satisfaction. Significant predictors included ongoing financial strain (OR = 0.29, p
Keywords: Retirement, Psychosocial adjustment, Resource-based dynamic model, Pension, Social support, Zimbabwe, Ageing, Life satisfaction
How to Cite?: Lovemore James, Levison Maunganidze, "Predictors of Psychosocial Adjustment among Retirees in Zimbabwe: Testing a Resource-Based Model", Volume 15 Issue 10, October 2026, International Journal of Science and Research (IJSR), Pages: 1781-1789, https://www.ijsr.net/getabstract.php?paperid=SR26924013822, DOI: https://dx.doi.org/10.21275/SR26924013822