The purpose of this study was to explore the relationship between employees’ work performance and their well-being, job satisfaction, and life satisfaction in sedentary jobs in Slovenian enterprises using a mixed-methods research design. The quantitative component of the research included the responses to four selected questionnaires of 120 employees in 22 identified enterprises (out of 81), with more than 20 employees, having more than 85 percent sedentary jobs. Each of four questionnaires was chosen to cover one area of enquiry under the research foci of work performance, job satisfaction, life satisfaction and well-being. The statistical program STATA was used for data analyses. The analysis shows statistically significant positive correlations between employee performance and job satisfaction (r = 0.35), employee performance and life satisfaction (r = 0.28), life satisfaction and well-being (r = 0.33), and job satisfaction and well-being, whereas the correlation between well-being and work performance did not prove to be statistically significant. The qualitative component of the mixed-methods research design included systematic observation combined with one-to-one discussions. The results indicated that job satisfaction and life satisfaction are more significant in determining work performance in sedentary jobs than employee well-being and that being unwell is still considered a sign of weakness; therefore, employees who are unwell do not want to expose themselves and refuse to cooperate in activities and studies about well-being. Further research examining the impact on work performance of organizational climate measurements in sedentary jobs is recommended.

Objectives: To investigate the correlation between the four dimensions of Oral Health-Related Quality of Life (OHRQoL) and Health-Related Quality of Life (HRQoL) constructs in a dental patient population. Methods: A cross-sectional study carried out at HealthPartners, Minnesota, USA. This study is a secondary data analysis of available adult dental patients’ data. The instruments used to assess the OHRQoL and HRQoL constructs were the Oral Health Impact Profile–version with 49 items (OHIP-49) and Patient-Reported Outcome Measures Information System (PROMIS) measures v.1.1 Global Health instruments Patient Reported Outcome Measures (PROMs), respectively. We used Structural Equation Modeling to determine the correlation between OHRQoL and HRQoL. Results: Two thousand and seventy-six dental patients participated in the study. OHRQoL and HRQoL scores correlated with 0.56 (95%CI:0.52–0.60). The OHRQoL and Physical Health dimension of HRQoL correlated with 0.55 (95%CI:0.51–0.59). The OHRQoL and Mental Health dimension of HRQoL correlated with 0.51 (95%CI:0.47–0.55). When adjusted for age, gender, and depression, the correlation coefficients changed only slightly and resulted in 0.52 between OHRQoL and HRQoL Physical Health, and 0.47 between OHRQoL and HRQoL Mental Health. Model fit statistics for all analyses were adequate and indicated a good fit. Conclusions: OHRQoL and HRQoL overlap greatly. For dental practitioners, the OHRQoL score is informative for their patients’ general health status and vice versa. Study results indicate that effective therapeutic interventions by dentists improve patients’ OHRQoL as well as HRQoL.