Psychosocial Factors Of Job Stress In Colombia: Characterization Of The Worker Population Based On Demand-control-social Support Model

2017 ◽  
Author(s):  
Andrea Gonzalez ◽  
Viviola Gomez Ortiz
Keyword(s):  
Social Support ◽  
Psychosocial Factors ◽  
Job Stress ◽  
Population Based ◽  
On Demand ◽  
Demand Control ◽  
Support Model

Young construction workers: substance use, mental health, and workplace psychosocial factors

2017 ◽  
Vol 10 (4) ◽  
pp. 155-168 ◽  
Author(s):  
Ken Pidd ◽  
Vinita Duraisingam ◽  
Ann Roche ◽  
Allan Trifonoff
Keyword(s):  
Mental Health ◽  
Social Support ◽  
Substance Use ◽  
Psychological Distress ◽  
Construction Industry ◽  
Psychosocial Factors ◽  
Job Stress ◽  
Poor Mental Health ◽  
Psychological Wellbeing ◽  
Content Type

Purpose Young Australian workers are at elevated risk of mental health and alcohol and other drug related problems. The purpose of this paper is to examine the relationship between alcohol and drug (AOD) use, psychological wellbeing, and the workplace psychosocial environment among young apprentices in the construction industry. Design/methodology/approach A cross-sectional survey of a cohort of 169 construction industry apprentices in their first year of training was undertaken. The survey included measures of psychological distress (K10), quantity/frequency measures of alcohol and illicit drug use, and workplace psychosocial factors. Findings Construction industry apprentices are at elevated risk of AOD related harm and poor mental health. Levels of psychological distress and substance use were substantially higher than age/gender equivalent Australian population norms. Job stress, workplace bullying, and general social support accounted for 38.2 per cent of the variance in psychological distress. General social support moderated the effects of job stress and bullying on psychological distress. Substance use was not associated with psychological distress. However, workplace social support accounted for 2.1 per cent of the variance in AUDIT-C scores, and 2.0 per cent of the variance in cannabis use. Workplace bullying explained 2.4 per cent of the variance in meth/amphetamine use. Practical implications Construction trades apprentices are a high-risk group for harmful substance use and poor mental health. Study results indicate that psychosocial wellbeing interventions are warranted as a harm reduction strategy. Originality/value This is the first study of its kind to describe a cohort of Australian construction trade apprentices in terms of their substance use and psychological wellbeing. The study shows workplace psychosocial factors may predict young workers psychological wellbeing.

scholarly journals Emotieregulatie en burnout bij ziekenverzorgenden

2008 ◽  
Vol 21 (2) ◽  
Author(s):  
Lilian Lechner ◽  
Thea Steinvoorte ◽  
Gérard Näring
Keyword(s):  
Social Support ◽  
Health Care ◽  
Health Care Providers ◽  
Emotional Labor ◽  
Personal Accomplishment ◽  
Three Dimensions ◽  
Work Demands ◽  
Care Providers ◽  
Demand Control ◽  
Support Model

Summary This study analysed whether, amongst health care providers in a nursing homes setting, there is a relationship between, on the hand, work demands, autonomy, lack of social support and emotional labor; and on the other hand, symptoms of burnout. It also analysed whether the concept of emotional labor was an additional factor that helped explain variance in burnout over and above the concepts found in the Demand-Control-Support model. The study was based on 130 health care providers (response rate of 75%). Participants filled in a questionnaire that measured the Demand-Control-Support concepts of autonomy, lack of social support and work demands, as well as four dimensions of emotional labor. It assessed burnout in three dimensions, namely emotional exhaustion, depersonalisation and personal accomplishment. The results showed a relationship between work demands, social support, several aspects of emotional labor and burnout, whereas no relationship was found between autonomy and burnout. The various concepts, taken together, explained 28 to 30% of the variance in burnout. Emotional labor appeared to be a distinct additional factor in relation to burnout, supplementing the elements found in the Demand-Control-Support model. These results confirm the findings from previous studies in other professions. They demonstrate that, in professions involving a lot of contact with patients, emotional labor may represent a potentially important factor related to health.

The Job Demand-Control-Social Support Model and Wellness/Health Outcomes: A European Study

2003 ◽  
Vol 18 (4) ◽  
pp. 421-440 ◽  
Author(s):  
Chris Verhoeven ◽  
Stan Maes ◽  
Vivian Kraaij ◽  
Katherine Joekes
Keyword(s):  
Social Support ◽  
Health Outcomes ◽  
European Study ◽  
Job Demand ◽  
Demand Control ◽  
Support Model

scholarly journals Relationship between job stress and fatigue based on job demand-control-support model in hospital nurses

2019 ◽  
Vol 10 (1) ◽  
pp. 56 ◽  
Author(s):  
Alireza Choobineh ◽  
Hamed Jalilian ◽  
FatemehKargar Shouroki ◽  
Hiva Azmoon ◽  
Akbar Rostamabadi
Keyword(s):  
Job Stress ◽  
Hospital Nurses ◽  
Job Demand ◽  
Demand Control ◽  
Support Model

scholarly journals Influence of demand, control and social support on job stress. Analysis by employment status from the V European working conditions survey

DYNA ◽  
2016 ◽  
Vol 83 (195) ◽  
pp. 52-60 ◽  
Author(s):  
Susana García-Herrero ◽  
Miguel Ángel Mariscal-Saldaña ◽  
Eva María López-Perea ◽  
Martha Felicitas Quiroz-Flores
Keyword(s):  
Social Support ◽  
Job Stress ◽  
Working Conditions ◽  
Bayesian Network Model ◽  
European Working ◽  
High Social Support ◽  
European Working Conditions Survey ◽  
Private And Public ◽  
Low Levels ◽  
Demand Control

Work stress increasingly affects many workers from different countries. Conditions such as high demand, low social support and low job control are considered predictors of increased stress. With data obtained from the V European Working Conditions Survey (EWCS) a Bayesian network model was made. It provides information on the levels of stress in relation to model demand-control-social support (DCS), differentiating into work situations as they are, self-employed, private and public. To deepen understanding of the interrelationships between these variables sensitivity analysis of individual and overall were performed to check the DCS model assumptions. This model applied in the V EWCS identified the variations and similarities between different work situations, proving that having low levels of demand, together with control and high social support, the likelihood of stress decreases.

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