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Coronary Progenitor Cells and Soluble Biomarkers in Cardiovascular Prognosis after Coronary Angioplasty
Published on: January 28, 2020
Does job satisfaction predict early return to work after coronary angioplasty or cardiac surgery?
Elena Fiabane1, Piergiorgio Argentero, Giuseppe Calsamiglia
1Department of Psychology, University of Pavia, Piazza Botta 6, 27100, Pavia, Italy. elenamaria.fiabane@unipv.it
Purpose:
Few studies have analyzed the relationship between job satisfaction and return to work (RTW) in cardiac patients. The aim of this paper was to investigate whether job satisfaction predicted early RTW in patients sick listed after cardiac invasive procedures.
Methods:
A 6-month prospective study was carried out in a sample of 83 patients in working age who had recently been treated with angioplasty or cardiac surgery. Job satisfaction was measured using the scale from the Occupational Stress Indicator during cardiac rehabilitation. Time to RTW was assessed at the 6-month occupational physician examination. Logistic regression analyses were used to study the association between job satisfaction at baseline and early RTW at follow-up, adjusted for socio-demographic, medical (type of cardiac intervention, ejection fraction) and psychological (depression, locus of control, illness perception) factors.
Results:
Participants with high job satisfaction were more likely to return early to work, with an odds ratio (OR) of 5.92 (95 % CI, 1.69-20.73) in the most-adjusted model, compared to participants with low job satisfaction. Satisfaction with organizational processes was the job satisfaction component most strongly associated with early RTW (OR, 4.30; 95 % CI, 1.21-15.03).
Conclusions:
To the best of our knowledge, this is the first prospective study that investigated whether job satisfaction predicts time to RTW after cardiac interventions. The results suggested that when patients are satisfied with their job and positively perceived their work environment, they will be more likely to early RTW, independently of socio-demographic, medical and psychological factors.
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