Dataset Information

Core Self-Evaluations Affecting Retirement-Related Outcomes.

ABSTRACT: This study addressed a gap in the literature by examining the role of core self-evaluations as a predictor of retirement preparation (i.e., attitudes, expectations, and goals), compared to other important aspects such as demographic, financial, health, and work-related variables. Based on the resource-based dynamic model for retirement adjustment and the core self-evaluations theory, the present study showed that core self-evaluations significantly and positively affected the social component of retirement adjustment (H1), the retirement expectations of new beginning (H2), the retirement expectations of continuity (H3), and retirement goals (H4). Additionally, core-self evaluations negatively affected the retirement expectations of imposed disruption (H5). All the analyses were controlled for age, gender, perceived health, financial situation, job centrality, and expected retirement age. In conclusion, core self-evaluations are valuable and supportive to workers across the work lifespan, and for dealing with the retirement preparation.

SUBMITTER: Zaniboni S

PROVIDER: S-EPMC7795756 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature

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Core Self-Evaluations Affecting Retirement-Related Outcomes.

Zaniboni Sara S Topa Gabriela G Balducci Cristian C

International journal of environmental research and public health 20201229 1

This study addressed a gap in the literature by examining the role of core self-evaluations as a predictor of retirement preparation (i.e., attitudes, expectations, and goals), compared to other important aspects such as demographic, financial, health, and work-related variables. Based on the resource-based dynamic model for retirement adjustment and the core self-evaluations theory, the present study showed that core self-evaluations significantly and positively affected the social component of ...[more]

PMID: 33383686

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Project description:ObjectivesHandgrip strength (HS) is a risk factor of all-cause mortality and cardiovascular diseases. However, the influencing factors and mechanisms contributing to this correlation remain unclear. Therefore, we aimed to explore factors related to HS and investigated the mechanism underlying its risk predictive value.MethodsThis was a prospective, cross-sectional study. One hundred forty-five participants were recruited from December 2019 to November 2020. HS was measured using a hydraulic hand dynamometer and adjusted for body mass index (HSBMI) and body surface area (HSBSA). Body composition was assessed via bioimpedance spectroscopy. Physical fitness was measured using a cardiopulmonary exercise test system. Univariate, multiple linear regression analyses and receiver operator characteristic curve (ROC) were conducted to evaluate the associations between various participant characteristics and HS.ResultsThe average participant age was 21.68 ± 2.61 years (42.8% were male). We found positive correlations between HSBMI/HSBSA and VO2max, VEmax, Loadmax, and METmax in both sexes (p < 0.05). Lean-tissue, protein, total water, and inorganic salt percentages were positively correlated, and fat percentage was negatively correlated with HSBMI in men and with HSBMI and HSBSA in women (p < 0.05). Multiple regression revealed that VO2max was independently associated with HSBSA in both sexes (β = 0.215, 0.173; 95%confidence interval [CI] = 0.032 - 0.398, 0.026-0.321; p = 0.022, 0.022, respectively) and independently associated with HSBMI in women (β = 0.016, 95%CI = 0.004 - 0.029, p = 0.011). ROC analysis showed that HSBMI and HSBSA can moderately identify normal VO2max in men (area under curve [AUC] = 0.754, 0.769; p = 0.002, 0.001, respectively) and marginally identify normal VO2max in women (AUC = 0.643, 0.635; p = 0.029, 0.042, respectively).ConclusionsBMI- and BSA-adjusted HS could serve as indicators of physical health, and HSBSA may moderately reflect cardiorespiratory fitness levels in healthy young adults, particularly in males. Clinical trials registry site and number: China Clinical Trial Center (ChiCTR1900028228).

Dataset Information

Core Self-Evaluations Affecting Retirement-Related Outcomes.

Publications

Core Self-Evaluations Affecting Retirement-Related Outcomes.

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