The effects of low-pay and unemployment on psychological well-being: A logistic regression approach

Abstract Background Migrant workers worldwide commonly are susceptible to mental disorders. Since the 1980s, there has been a large-scale increase in the number of migrant workers in China; this development parallels the acceleration of socio-economic transformation. Studies addressing this population rarely focus on workers’ mental health or psychological well-being, yet it is imperative to understand the mental health status of rural-to-urban migrant workers and study the relationship between migration and mental health. Methods A cross-sectional survey of 3286 participants (response rate 85.4%) was conducted among different work units in Shanghai. All of the variables of this survey were assessed by a self-administered questionnaire, with depression measured by the Patient Health Questionnaire-9 (PHQ-9) scale and poor mental health (PMH) measured by the World Health Organization 5-Item Well-Being Index (WHO-5) scale. Pearson’s χ2 test and logistic regression were used to compare migrants with urbanites, and to identify factors related to mental health outcomes. Results Migrant workers (15.3%) had a slightly higher prevalence of depression than non-migrant (12.0%) workers, with notable PMH (26.9%) among participants >45 y of age. In the logistic regression models, those who reported low job satisfaction, unhealthy organizations, poor physical health (self-rated) and long working hours were 2.86 (95% CI 2.14 to 3.84), 1.42 (95% CI 1.06 to 1.91), 1.89 (95% CI 1.41 to 2.55) and 1.48 (95% CI 1.08 to 2.03) times more likely to have depression, respectively. Similarly, workers >45 y of age were 2.92 (95% CI 1.65 to 5.16) and 1.80 (95% CI 1.01 to 3.21) times more likely to have PMH for low job satisfaction and unhealthy organizations, respectively. Conclusions There are numerous potential causes affecting the mental health of Chinese internal migrant workers. Strengthening the construction of healthy organizations and enhancing workers’ job satisfaction may improve the mental health status or psychological well-being of this group.

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The Economics of Low Pay in Britain

International Journal of Manpower ◽

10.1108/01437729410059404 ◽

1994 ◽

Vol 15 (2/3) ◽

pp. 130-149 ◽

Cited By ~ 3

Author(s):

P.J. Sloane ◽

I. Theodossiou

Keyword(s):

Human Capital ◽

Logistic Regression ◽

Income Distribution ◽

Lorenz Curve ◽

Wage Structure ◽

Important Variable ◽

Economic Life ◽

Local Labour ◽

Regression Approach ◽

Low Pay

Examines the extent of low pay in Britain, first by estimating a Lorenz curve and, second, by using a logistic regression approach. Low pay is defined in terms of the first three deciles of the income distribution for all workers. The data are taken from the 1986 Social and Economic Life Survey of 6,110 individuals in six local labour markets using a matched employer‐employee sample. Gender is the most important variable but women, as men, can improve their relative positions by acquiring human capital. Variables inducing upward mobility are much the same – regardless of position in the wage structure.

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Digital Leadership Skills and Associations with Psychological Well-Being

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph16142628 ◽

2019 ◽

Vol 16 (14) ◽

pp. 2628 ◽

Cited By ~ 2

Author(s):

Sabrina Zeike ◽

Katherine Bradbury ◽

Lara Lindert ◽

Holger Pfaff

Keyword(s):

Logistic Regression ◽

Online Survey ◽

Causal Effect ◽

Research Question ◽

Relevant Literature ◽

Well Being ◽

Stepwise Logistic Regression ◽

Valuable Insight ◽

Psychological Well Being ◽

Upper Level

Due to increasing digitalisation, today’s working world is changing rapidly and provides managers with new challenges. Digital leadership is an important factor in managing these challenges and has become a key concept in the discussion about what kinds of skills managers need for digital transformation. The main research question our study explored was if digital leadership is associated with psychological well-being in upper-level managers. Based on a qualitative pilot study and relevant literature, we developed a new scale for digital leadership in managers. We conducted an online survey with a sample of 368 upper-level managers from a large German ICT-company. Using a stepwise logistic regression analysis, potential effects of digital leadership on psychological well-being (WHO-5) were analysed. Logistic regression analyses showed that better skills in digital leadership were significantly associated with higher well-being. Results also showed that gender, age and managerial experience had no effect in our model. Our study provides a valuable insight into the association between digital leadership and well-being in managers. However, further research is necessary to validate the newly developed scale for digital leadership and to confirm a causal effect in the relationship between digital leadership and well-being.

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Causes and Effect of Job Stress and Coping on Performance and Psychological Well-being among the Agricultural Research Sector Employees: An Empirical Study Using Multinomial Logistic Regression Approach

Helix ◽

10.29042/2018-4114-4119 ◽

2018 ◽

Vol 8 (6) ◽

pp. 4114-4119

Author(s):

Prasad KDV

Keyword(s):

Logistic Regression ◽

Empirical Study ◽

Job Stress ◽

Agricultural Research ◽

Multinomial Logistic Regression ◽

Well Being ◽

Stress And Coping ◽

Research Sector ◽

Regression Approach ◽

And Coping

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The Self-Efficacy in Multiple Sclerosis (SEMS) Scale

European Journal of Psychological Assessment ◽

10.1027/1015-5759/a000350 ◽

2018 ◽

Vol 34 (5) ◽

pp. 352-360 ◽

Cited By ~ 5

Author(s):

Silvia Bonino ◽

Federica Graziano ◽

Martina Borghi ◽

Davide Marengo ◽

Giorgia Molinengo ◽

...

Keyword(s):

Multiple Sclerosis ◽

Coping Strategies ◽

Measurement Invariance ◽

Sense Of Coherence ◽

Self Efficacy ◽

Concurrent Validity ◽

Rasch Analysis ◽

Well Being ◽

Psychological Well Being ◽

And Coping

Abstract. This research developed a new scale to evaluate Self-Efficacy in Multiple Sclerosis (SEMS). The aim of this study was to investigate dimensionality, item functioning, measurement invariance, and concurrent validity of the SEMS scale. Data were collected from 203 multiple sclerosis (MS) patients (mean age, 39.5 years; 66% women; 95% having a relapsing remitting form of MS). Fifteen items of the SEMS scale were submitted to patients along with measures of psychological well-being, sense of coherence, depression, and coping strategies. Data underwent Rasch analysis and correlation analysis. Rasch analysis indicates the SEMS as a multidimensional construct characterized by two correlated dimensions: goal setting and symptom management, with satisfactory reliability coefficients. Overall, the 15 items reported acceptable fit statistics; the scale demonstrated measurement invariance (with respect to gender and disease duration) and good concurrent validity (positive correlations with psychological well-being, sense of coherence, and coping strategies and negative correlations with depression). Preliminary evidence suggests that SEMS is a psychometrically sound measure to evaluate perceived self-efficacy of MS patients with moderate disability, and it would be a valuable instrument for both research and clinical applications.

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Relationships Between Bidirectional Work-Family Interactions and Psychological Well-Being

Journal of Personnel Psychology ◽

10.1027/1866-5888/a000107 ◽

2014 ◽

Vol 13 (2) ◽

pp. 87-96 ◽

Cited By ~ 4

Author(s):

Xi-Chao Zhang ◽

Oi Ling Siu ◽

Jing Hu ◽

Weiwei Zhang

Keyword(s):

Family Conflict ◽

Structural Equation ◽

Time Lag ◽

Well Being ◽

Equation Modeling ◽

Family Interactions ◽

Work Family Conflict ◽

Psychological Well Being ◽

Direct Model ◽

Work Family

This study investigated the direct, reversed, and reciprocal relationships between bidirectional work-family conflict/work-family facilitation and psychological well-being (PWB). We administered a three-wave questionnaire survey to 260 married Chinese employees using a time lag of one month. Cross-lagged structural equation modeling analysis was conducted and demonstrated that the direct model was better than the reversed causal or the reciprocal model. Specifically, work-to-family conflict at Time 1 negatively predicted PWB at Time 2, and work-to-family conflict at Time 2 negatively predicted PWB at Time 3; further, work-to-family facilitation at Time 1 positively predicted PWB at Time 2. In addition, family-to-work facilitation at Time 1 positively predicted PWB at Time 2, and family-to-work conflict at Time 2 negatively predicted PWB at Time 3.

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Associations Between Dutch LGBT Hate Crime Experience, Well-Being, Trust in the Police and Future Hate Crime Reporting

Social Psychology ◽

10.1027/1864-9335/a000409 ◽

2020 ◽

Vol 51 (3) ◽

pp. 171-182

Author(s):

Allard R. Feddes ◽

Kai J. Jonas

Keyword(s):

Psychological Distress ◽

The Netherlands ◽

Hate Crime ◽

Well Being ◽

Crime Victims ◽

Crime Reporting ◽

Survey Study ◽

Psychological Well Being ◽

Building Trust ◽

Reporting Intentions

Abstract. LGBT-related hate crime is a conscious act of aggression against an LGBT citizen. The present research investigates associations between hate crime, psychological well-being, trust in the police and intentions to report future experiences of hate crime. A survey study was conducted among 391 LGBT respondents in the Netherlands. Sixteen percent experienced hate crime in the 12 months prior. Compared to non-victims, victims had significant lower psychological well-being, lower trust in the police and lower intentions to report future hate crime. Hate crime experience and lower psychological well-being were associated with lower reporting intentions through lower trust in the police. Helping hate crime victims cope with psychological distress in combination with building trust in the police could positively influence future reporting.

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