Malik and Noreen12/2015 |
Correlational and cross-sectional. University and school teachers. Pakistan. |
Investigar o suporte organizacional percebido (SOP) como moderador da relação entre estresse ocupacional e bem-estar afetivo no trabalho (BEA). |
- Moderator that exacerbates the impact (-) of stress on WB: low perception of organizational support. |
Mihăilă3/2015 |
Correlational and cross-sectional. Workers selected via LinkedIn, employed at the moment. |
Study the relationship between stress at work and organizational behavior (well-being, job satisfaction, turnover, and frustration at work). |
- Predictor (-) of WB and satisfaction at work: stress at work. - Predictor (+) of frustration at work and desire to leave the company: stress. |
Semmer et al.37/2015 |
Correlational, cross-sectional and longitudinal. Swiss Workers. |
Describe the concept of illegitimate (unnecessary) tasks and test their association with Well-being (WB)/Tension. |
- Predictors (-) of WB: illegitimate tasks - Predictors (+) of tension after 2 months: illegitimate tasks. |
Carvalho et al.42/2014 |
Case study with hospital health professionals from Portugal. |
Understand individual perceptions, mental representations, and attributes related to managing emotions and stress at work. |
- The better the management of emotions, the better the control, ER, and < emotional stress. - The > the level of consciousness of emotional states and the > the quality support and development of appropriate activities, the > the well-being and QWL. |
Millán de Lange et al.24/2014 |
Correlational and cross-sectional. University teachers from Venezuela. |
Study emotional intelligence (EI) and the willingness to flow at work as protective factors against work stress and as promoters of PWB. |
- Protective factors against work stress and predictors of PWB (psychological well-being): EI and willingness to flow at work. |
Gomes et al.44/2013 |
Correlational and cross-sectional. Nurses from hospitals in Portugal. |
Identify sources of stress, coping strategies, and relation with the general health of nurses in oncology services. |
- Stressors: related to organizational aspects and working conditions. - Coping strategies: focus on problem solving and WB improvement. - Correlation (-) between general health and avoidance coping strategies. |
Narainsamy and Van Der Westhuizen55/2013 |
Correlational and cross-sectional. Clinical lab. workers in South Africa. |
Investigate whether WBW consists of 4 factors: occupational stress, burnout, work engagement, and job satisfaction. |
- The results support the four-factor WBW model. - Correlation factors (-) with WBW: occupational stress and burnout. - Correlation factors (+) with WBW: satisfaction and engagement in the work. |
Rahimnia et al.39/2013 |
Correlational and cross-sectional Hospital Nurses from Iran |
Test a model in which psychological capital (self-efficacy, optimism, and resilience), constructive and destructive emotions, stress, anxiety, and depression are antecedents of WB. |
-> psychological capital: > constructive emotions, < destructive emotions and > WB. - Predictor (+) of WB: constructive emotions. - Predictor (-) of WB: destructive emotions. - The reduction of destructive emotions has > effect in increasing WB. |
Sanches and Santos7/2013 |
Case study with university professors from the health area in Brazil. |
Analyze the situations that generate occupational stress (stressors), the symptoms, and coping strategies used. |
- Stressors: unprepared students, work overload, context, concern about student learning and institutional deadlines.
- Coping strategies: self-control, social support, problem solving, and re-evaluation.
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Bell et al.21/2012 |
Correlational and cross-sectional. Academics from Australian Universities. |
Investigate the relationship between perceived stress at work (threat and pressure), work-life interface, and well-being/malaise. |
- Predictor (-) of WB and (+) malaise: threat stress. - Predictor of work-life conflicts: threat and pressure stress at work. |
Bell et al.36/2012 |
Correlational and cross-sectional. Academics from Australian Universities. |
Investigate the influence of spirituality at work (SAW) on WB and stress, and the moderating effect of SAW on the relationship between stress and WB/ malaise. |
- SAW: correlation (+) with BE and (-) with malaise and stress. - There was no moderation of spirituality between stress and well-being. - Predictor (-) of WB: stress of psychological threat at work. |
Niven et al.54/2012 |
Correlational and cross-sectional. Social workers, therapists, and ambulance personnel from the UK. |
To investigate whether emotion regulation (ER) can mitigate the negative effects of exposure to aggression in the workplace on tension. |
- Moderator that attenuated the aggression-tension relationship in the workplace during interactions within the organization: re-evaluation strategy. - Moderators that exacerbate the effects (-) of aggression in the workplace during interactions outside the organization: ER strategies (reassessment and suppression). |
Serafim et al.48/2012 |
Case study with public servants in the Executive Branch, Brazil. |
Analyze the psychosocial risk factors at work (PRFW) and the relationships with illness developed at work. |
- Predictor of illness and incapacity for work: continuous exposure to PRFW. - PRFW should be considered in evaluating cases of illness and occupational disability, and in promoting occupational health. |
Caran et al.35/2011 |
Correlational and cross-sectional. Brazilian Public University Teachers |
Identify the existence of Psychosocial Occupational Risks (POR) in the work environment of university professors, and effects on health. |
- Predictors of deteriorating health and mental disorders: continuous exposure to POR (perceived by 87% of teachers). - Principle changes: stress, anxiety, and insomnia. |
Guido et al.61/2011 |
Correlational and cross-sectional. Nurses at a university hospital in Brazil |
Identify stressors, stress level, general health status, and forms of coping used by nurses in the work environment. |
- The form of coping most used: problem solving. - The < stress level was associated with good/fair health and > use of problem- focused coping strategies. |
Kinman and Grant41/2011 |
Correlational and cross-sectional. Social workers in England, Africa, and the Caribbean. |
Investigate emotional and social competencies as predictors of resilience and their role between emotional intelligence (EI) and distress/PWB. |
- Factor protecting against stress and predictor of PWB: emotional competencies. - Predictors of resilience: emotional (EI and empathy) and social competencies. - Resilience was a predictor (-) of psychological distress and mediator between EI and PWB. |
Lee et al.56/2011 |
Correlational and cross-sectional. Hospital nurses in Taiwan. |
Analyze the relationships between stress at work, coping strategies, and promotion of a healthy lifestyle. |
- > Stress was associated with > use of coping and < with healthy lifestyle promotion. - < stress was associated with > coping for control and support and > healthy lifestyle (health responsibility and keeping updated). |
Mosadeghrad et al.47/2011 |
Correlational and cross-sectional. Hospital Employees in Iran. |
Understand the relationships between stress at work, QWL, and the impact on turnover intentions. |
- Stress has a relationship (-) with QWL (Quality of Work Life). - Predictors of stress: stressors, policies, relationships, and the work environment. |
Rothmann and Malan6/2011 |
Correlational and cross-sectional. Hospital Pharmacists, South Africa. |
Investigate whether stress at work and coping strategies predict WBW (burnout/engagement). |
- Predictor (+) of WBW: > problem-focused coping and < avoidance coping. - Predictor (-) of WBW: high demands, lack of resources, and avoidance coping. |