Hostname: page-component-586b7cd67f-rcrh6 Total loading time: 0 Render date: 2024-11-25T14:24:55.409Z Has data issue: false hasContentIssue false
  • English
  • Français

Investigating the potential association of temporary employment and job dissatisfaction with alcohol use disorder and depressive symptoms: a 13-wave longitudinal analysis

Published online by Cambridge University Press:  12 April 2023

Seong-Uk Baek ,
Jin-Ha Yoon  and
Jong-Uk Won Open the ORCID record for Jong-Uk Won [Opens in a new window]
Seong-Uk Baek
Affiliation:
Department of Occupational and Environmental Medicine, Severance Hospital, Yonsei University College of Medicine, Korea; The Institute for Occupational Health, Yonsei University College of Medicine, Korea; and Graduate School, Yonsei University College of Medicine, Korea
Jin-Ha Yoon
Affiliation:
The Institute for Occupational Health, Yonsei University College of Medicine, Korea; Graduate School of Public Health, Yonsei University College of Medicine, Korea; and Department of Preventive Medicine, Yonsei University College of Medicine, Korea
Jong-Uk Won*
Affiliation:
Department of Occupational and Environmental Medicine, Severance Hospital, Yonsei University College of Medicine, Korea; The Institute for Occupational Health, Yonsei University College of Medicine, Korea; and Graduate School of Public Health, Yonsei University College of Medicine, Korea
*
Correspondence: Jong-Uk Won. Email: [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Background

There has been growing interest in protecting workers’ mental health. Identifying social determinants that affect workers’ mental health could play an important role in preventing psychiatric diseases.

Aims

We investigated the effects of temporary employment and job dissatisfaction on alcohol use disorder and depressive symptoms.

Method

The Korea Welfare Panel Study data-set (2009–2021) was used, and 9611 participants with 52 639 observations were included. Generalised linear mixed models were employed to estimate odds ratios and 95% confidence intervals. The relative excess risk due to interaction (RERI) was calculated to assess supra-additive interactions between temporary employment and job dissatisfaction.

Results

Increased risks for depressive symptoms were observed among fixed-term workers (odds ratio 1.12, 95% CI 1.00–1.26) and daily labourers (odds ratio 1.68, 95% CI 1.44–1.95). Daily labourers were associated with an increased risk of alcohol use disorder (odds ratio 1.54, 95% CI 1.22–1.95). Job dissatisfaction was associated with alcohol use disorder (odds ratio 1.78, 95% CI 1.52–2.08) and depressive symptoms (odds ratio 4.88, 95% CI 4.36–5.46). This effect became stronger when workers were concurrently exposed to temporary employment and job dissatisfaction. Daily labourers with job dissatisfaction showed the highest risks for alcohol use disorder (odds ratio 2.99, 95% CI 2.21–4.03) and depressive symptoms (odds ratio 9.00, 95% CI 7.36–11.02). RERIs between daily employment and job dissatisfaction were >0 for alcohol use disorder (0.91, 95% CI 0.06–1.76) and depressive symptoms (3.47, 95% CI 1.80–5.14), indicating a supra-additive interaction.

Conclusions

We revealed that temporary employment and job dissatisfaction had detrimental effects on alcohol use disorder and depressive symptoms.

Keywords

Job insecuritymental healthhealth behaviourspsychiatric distressalcohol misuse
Type
Paper
Information
BJPsych Open , Volume 9 , Issue 3 , May 2023 , e63
Check for updates
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press on behalf of the Royal College of Psychiatrists

In the past few decades, changes in industrial structure and economic crises have led to an increase in the proportion of employment contracts other than standard employment.Reference Cooke and Jiang1 These non-standard types of employment contracts comprise temporary employment, part-time employment, disguised employment and employment arrangement via digital platforms.2 In particular, the informalisation of employment was accelerated by the recent COVID-19 pandemic. The COVID-19 pandemic caused an economic crisis and brought changes to the industrial structure, resulting in companies increasing their proportion of non-standard employment.Reference Fana, Torrejón Pérez and Fernández-Macías3

Temporary employment

Temporary employment is widely known for its negative effects on workers’ health. For example, workers with temporary employment are at risk of fatal occupational injuriesReference Villanueva and Garcia4 and musculoskeletal problems.Reference Roquelaure, LeManach, Ha, Poisnel, Bodin and Descatja5 So far, several studies have investigated the effects of temporary employment on workers' mental health. Temporary employment can cause mental health problems because of the resulting subjective job insecurity for workers.Reference Ronnblad, Gronholm, Jonsson, Koranyi, Orellana and Kreshpaj6 Previous studies found that temporary employment is associated with psychiatric distress and depression.Reference Hammarstrom, Virtanen and Janlert7,Reference Yoo, Park, Jang, Kwon, Kim and Cho8 Kim et al reported that daily labourers had a higher risk of depressive symptoms compared with fixed-term or permanent workers in Korea.Reference Kim, Kim, Lee, Ju, Chun and Park9 Furthermore, one previous study argued that temporary employment is associated with a higher risk of suicidal ideation.Reference Sasaki, Tabuchi, Okubo, Ishimaru, Kataoka and Nishi10 However, only a few studies have examined the relationship between temporary employment and risky health behaviours such as alcohol consumption. Although some researchers maintained that temporary employment was associated with alcohol misuseReference Park, Lee and Lee11 and increased mortality owing to alcohol-related diseases,Reference Kivimaki, Vahtera, Virtanen, Elovainio, Pentti and Ferrie12 others found no significant relationship between alcohol use and temporary employment.Reference Park, Kim, Lee and Park13

Job dissatisfaction

Along with temporary employment, job satisfaction is also a major determinant of workers’ mental health. Job dissatisfaction is a well-known cause of burnoutReference Oliveira, Silva, Galvao and Lopes14 and reduced well-beingReference Bowling, Eschleman and Wang15 of workers. Previous longitudinal and meta-analytic studies have reported that decreased job satisfaction is closely related to the poor mental health of workers.Reference Faragher, Cass and Cooper16,Reference Dirlam and Zheng17 For example, cumulative years of job dissatisfaction were found to be associated with depressive symptomsReference Oshio18 and anxiety.Reference Saquib, Zaghloul, Saquib, Alhomaidan, Al-Mohaimeed and Al-Mazrou19 On the other hand, the effect of job dissatisfaction on alcohol use is not unknown. Although one cross-sectional study found an association between job dissatisfaction and alcohol misuse among young male workers,Reference Legleye, Baumann, Peretti-Watel, Beck and Chau20 another study found that job dissatisfaction did not mediate the relationship between work stress and alcohol use disorder.Reference Berger, Sedivy, Cisler and Dilley21

Association of temporary employment and job dissatisfaction with mental health problems

Recently, there has been growing social interest in protecting workers’ mental health. Alcohol use disorder and depression are major causes of suicidal thoughts/behaviour, and can induce various physical illnesses such as liver diseases and obesity.Reference Jantaratnotai, Mosikanon, Lee and McIntyre22 Impaired mental health is harmful not only to workers themselves, but also to their organisations, as problematic alcohol consumption and depression negatively affect an individual's work performance.Reference Thorrisen, Bonsaksen, Hashemi, Kjeken, van Mechelen and Aas23,Reference Lerner, Adler, Rogers, Chang, Lapitsky and McLaughlin24

Currently, there are no studies that focus on the importance of job satisfaction for mental health problems in the context of temporary employment. In general, temporary employment has been reported to be closely correlated with low job dissatisfaction.Reference Aleksynska25 Nevertheless, the relationship between temporary employment and job satisfaction depends on the characteristics of the worker. For instance, a decrease in job satisfaction was observed only in individuals who worked involuntarily in temporary employment, and in the case of voluntary temporary workers, no significant relationship between employment type and job satisfaction was found.Reference Park and Kang26 Also, an interactional analysis by Hammarström et al. found that the health effect of temporary employment varied according to individual characteristics, such as education level.Reference Hammarstrom, Virtanen and Janlert7 Thus, it could be hypothesised that the impact of temporary employment on the mental health of workers could be moderated by job satisfaction. Consequently, identifying how temporary employment and job dissatisfaction interact would provide new insight into the effect of temporary employment on workers’ mental health.

To sum up, the effect of temporary employment and job dissatisfaction on alcohol use disorder has not yet been identified. In addition, to the best of our knowledge, the combined effect of temporary employment and job dissatisfaction has not yet been reported. Therefore, our study will contribute to the literature by exploring the association of temporary employment and job dissatisfaction with alcohol use disorder and depressive symptoms, using a longitudinal data-set consisting of a nationally representative study sample. Finally, we aimed to discover social determinants affecting workers’ mental health, and provide evidence that could be used for policy development.

Method

Study sample

This study used the Korea Welfare Panel Study (KoWePS) data-set. The KoWePS is an ongoing annual panel survey conducted by the Seoul National University Social Welfare Research Centre and the Korea Institute for Health and Affairs since 2006. To collect nationally representative households in Korea, the KoWePS used two-stage stratified cluster sampling based on the South Korea Population and Housing Census. In this sampling method, the census enumeration district was employed as the primary sampling unit, and the household was employed as the secondary unit. The survey was conducted by trained interviewers using one-on-one computer-assisted personal interviews.

As the questionnaire regarding alcohol use disorder was introduced in 2009, study participants from 2009 to 2021 were included in this study. Out of a total of 23 692 participants with 204 336 observations, we limited our sample to those aged between 19 and 64 years because 65 years is the retirement age in Korea, leaving 14 703 participants with 107 591 observations. Next, we limited our sample to employed workers, leaving 9922 participants with 55 770 observations. After excluding 3131 observations with missing values, our final sample included 9611 participants with 52 639 observations.

Ethics statement

The Institutional Review Board (IRB) of Yonsei Health System approved this study (approval number: 4-2022-0793). The requirement of informed consent was waived by the IRB because of the retrospective nature of this study.

Main variables

Employment type

Employment types were classified as permanent workers, fixed-term workers and daily labourers. Permanent workers were employees who worked under a labour contract period of ≥1 year. Fixed-term workers were employees who worked under a labour contract period of ≥1 month to <1 year. Daily labourers were employees with a labour contract period of <1 month or those who were paid daily.

Job satisfaction

Job satisfaction was measured on a five-point Likert scale (1 = ‘very dissatisfied’, 2 = ‘fairly dissatisfied’, 3 = ‘neither satisfied nor dissatisfied’, 4 = ‘fairly satisfied’ and 5 = ‘very satisfied’). We then classified workers’ job satisfaction as ‘dissatisfied’ (fairly dissatisfied or very dissatisfied), ‘neutral’ (neither satisfied nor dissatisfied) or ‘satisfied’ (fairly satisfied or very satisfied).

Alcohol use disorder

The Alcohol Use Disorders Identification Test (AUDIT) was used to classify alcohol use disorders in this study. The ten-item AUDIT developed by the World Health OrganizationReference Babor, Higgins-Biddle, Saunders and Monteiro27 is a validated screening tool for identifying individuals with alcohol use disorder and has been widely used in epidemiologic studies. Each question is measured on a five-point Likert scale ranging from 0 to 4, so the total scores ranged from 0 to 40. According to previous studies, those with a score of ≥16 were considered to have a high level of alcohol problems and required clinical intervention and monitoring.Reference Babor, Higgins-Biddle, Saunders and Monteiro27 Thus, the same value was used in this study for classifying those who had alcohol use disorder.

Depressive symptoms

Depressive symptoms were measured with the 11-item Centre for Epidemiologic Studies Depression Scale (CESD-11), a short version of the original 20-item CESD. The validity of the CESD-11 was confirmed in a previous Korean study.Reference Lee28 Each question was measured with a four-point Likert scale ranging from 0 to 3, so that the sum of the scores ranged from 0 to 33. The total score was multiplied by 20 and then divided by 11. We defined those with a score of ≥16 as having depressive symptoms, because the cut-off value of the 20-item CESD is 16.Reference Vilagut, Forero, Barbaglia and Alonso29

Covariates

Gender, age, household income, education, marital status, occupation, weekly working hours, workplace size and survey year were considered as the confounders in our study. The age groups were classified as <30, 30–39, 40–49, 50–59 and ≥60 years. Household income was classified into quartiles (Q1–Q4). Education level was classified as having completed college, high school or below. Chronic disease status was classified as having at least one chronic disease being treated or taking medication or not. Smoking status was classified as current smokers or past/non-smokers. Marital status was classified as married, unmarried or other (divorced, widowed or separated). Occupation was classified as blue collar, service and sales worker, and white collar, according to the Korean Standard Classification of Occupations. The Korean Standard Classification of Occupations classifies managers, professionals and clerks as white-collar workers. Service workers and sales workers are classified as service and sales workers. Also, agricultural, forestry and fishery workers; craft and related trades workers; plant workers, machine operators and assemblers; and elementary workers are classified as blue-collar workers. Weekly working hours were classified as ≤40 or >40 h. According to the number of employees in the respondent's organisation, workplace size was classified as <30 workers, 30–99 workers or ≥100 workers. In addition, we also considered wave-specific effects by including binary dummy variables for each survey year in the fully adjusted models.

Statistical analysis

For descriptive analysis, the χ 2-test was used to compare the prevalence of alcohol use disorder and depressive symptoms according to the socioeconomic features of the study participants. For regression analysis, we initially performed pooled cross-sectional logistic regression and a generalised linear mixed model with a logit link in the next step to estimate the odds ratios and 95% confidence intervals. Models with random intercepts by individuals were used in the mixed-model analysis to analyse the repeatedly measured survey data. For model comparison, log likelihood and Akaike information criterion (AIC) values were calculated. For individual i and year t, the model specification is as follows:

$${\rm logit}( {Y_{it} = 1} ) = \beta _0 + \beta _1E1_{it} + \beta _2E2_{it} + \beta _3S1_{it} + \beta _4S2_{it} + ( {{\rm covariates}} ) + u_i + \varepsilon _{it}, \;$$

where Y denotes mental health outcomes (alcohol use disorder and depressive symptoms), E1 and E2 denote employment type (fixed-term workers and daily workers), S1 and S2 denote job satisfaction (neutral and dissatisfied), ui denotes participant-specific effect and ɛit denotes the error. Also, to clarify the temporal association, we explored how the changes in employment status and job satisfaction affect mental health outcomes by applying a 1-year lag time to each independent variable.

For measuring the combined effect of temporary employment and job dissatisfaction, the two variables were grouped and newly classified into nine groups, ‘employment type (permanent worker) + job satisfaction (satisfied)’ to ‘employment type (daily labourer) + job satisfaction (dissatisfied)’. The relative excess risk due to interaction (RERI) was calculated to assess the supra-additive interaction between temporary employment and job dissatisfaction. We estimated the RERI by using the following equation:

$$\eqalign{{\rm RERI\;}( {{\rm A\;and\;B}} ) {\rm} &= {\rm odds\;ratio\;}( {{\rm combined\;exposure\;to\;A\;and\;B}} ) \cr&\qquad\hbox{-}{\rm odds\;ratio\;}( {{\rm exposure\;to\;only\;A}} ) \cr&\qquad \hbox{-}{\rm odds\;ratio\;}( {{\rm exposure\;to\;only\;B}}){\rm} + 1}$$

The 95% confidence interval of RERI was calculated by using the delta method.Reference Hosmer and Lemeshow30 A RERI of >0 suggests supra-additive (synergistic) interaction between two variables. A P-value of <0.05 was considered statistically significant, and P-values were two-tailed. All statistical analyses were performed with R for Windows (version 4.2.1; R Foundation for Statistical Computing, Vienna, Austria; https://www.r-project.org). The R package glmmTMB was used to fit generalised linear mixed models.

Results

Table 1 shows the socioeconomic features of the study participants based on pooled observations. Among the total observations, 29.7% and 13.5% were fixed-term workers and daily labourers, respectively. The highest prevalence of alcohol use disorder was observed among daily labourers (7.6%), followed by permanent workers (6.1%) and fixed-term workers (3.9%). The prevalence of depressive symptoms was 4.6% for permanent workers, 8.3% for fixed-term workers and 14.0% for daily labourers. Moreover, among those who were dissatisfied with their jobs, 8.7% and 18.2% of the workers had alcohol use disorder and depressive symptoms.

Table 1 Prevalence of alcohol use disorder and depressive symptoms by socioeconomic features among pooled observations

Table 2 shows the association between temporary employment and job dissatisfaction, and alcohol use disorder. The fully adjusted generalised linear mixed model showed the best model fit (log likelihood and AIC). In the fully adjusted generalised linear mixed model, employment type and job satisfaction were associated with alcohol use disorder. Fixed-term workers did not show a significantly higher risk for alcohol use disorder (odds ratio 1.11, 95% CI 0.94–1.30) compared with permanent workers; however, being a daily labourer was associated with alcohol use disorder (odds ratio 1.54, 95% CI 1.22–1.95). Regarding job satisfaction, those who were neither satisfied nor dissatisfied (odds ratio 1.33, 95% CI 1.18–1.50) or were dissatisfied (odds ratio 1.78, 95% CI 1.52–2.08) with their jobs were associated with an increased risk for alcohol use disorder compared with those who were satisfied.

Table 2 Association of temporary employment and job dissatisfaction, and alcohol use disorder

Table 3 shows the association between temporary employment and job dissatisfaction, and depressive symptoms. The fully adjusted generalised linear mixed model has the best model fit (log likelihood and AIC). In the generalised mixed model, employment type and job satisfaction were associated with depressive symptoms. Being a fixed-term worker (odds ratio 1.12, 95% CI 1.00–1.26) or daily labourer (odds ratio 1.68, 95% CI 1.44–1.95) was associated with depressive symptoms compared with permanent workers. Additionally, those who were neither satisfied nor dissatisfied (odds ratio 2.44, 95% CI 2.22–2.69) or were dissatisfied (odds ratio 4.88, 95% CI 4.36–5.46) with their jobs were associated with an increased risk for depressive symptoms.

Table 3 Association of temporary employment and job dissatisfaction, and depressive symptoms

Figures 1 and 2 show the combined effect of temporary employment and job dissatisfaction on alcohol use disorder and depressive symptoms. This effect became stronger for those who were concurrently exposed to temporary employment and job dissatisfaction. For instance, daily labourers who were dissatisfied with their jobs showed the highest risk for alcohol use disorder (odds ratio 2.99, 95% CI 2.21–4.03) and depressive symptoms (odds ratio 9.00, 95% CI 7.36–11.02). The RERI was estimated to assess the additive interaction between temporary employment and job dissatisfaction. The RERI for fixed-term employment and job dissatisfaction was 0.36 (95% CI −0.26 to 0.99; P = 0.259) for alcohol use disorder and 0.37 (95% CI −0.69 to 1.42; P = 0.508) for depressive symptoms. The RERI for daily employment and job dissatisfaction was 0.91 (95% CI 0.06–1.76; P = 0.036) for alcohol use disorder and 3.47 (95% CI 1.80–5.14; P < 0.001) for depressive symptoms, suggesting a supra-additive interaction between the two variables.

Fig. 1 The combined effect of temporary employment and job dissatisfaction on alcohol use disorder, using a fully adjusted generalised linear mixed model.

Fig. 2 The combined effect of temporary employment and job dissatisfaction on depressive symptoms, using a fully adjusted generalised linear mixed model.

Finally, Table 4 presents the effect of the sequential experience of employment status and job satisfaction (previous year → concerned year) on outcomes. The results show that the shift to daily employment (permanent/fixed-term → daily employment) and the retention of daily employment for two consecutive years (daily → daily employment) are significantly related to alcohol use disorders and depressive symptoms. In addition, deterioration of job satisfaction (satisfied/neutral → dissatisfied) and experience of job dissatisfaction for two consecutive years (dissatisfied → dissatisfied) are also related to alcohol use disorders and depressive symptoms.

Table 4 Association between changes in employment status and job satisfaction, and alcohol use disorder and depressive symptoms, using a fully adjusted generalised linear mixed model (N = 7481, observations: 39 107)

Discussion

Our study provides evidence of the detrimental health effects of temporary employment and job dissatisfaction. We investigated the effects of temporary employment and job dissatisfaction on alcohol use disorder and depressive symptoms. We confirmed that temporary employment and job dissatisfaction were associated with an increased risk of alcohol use disorder and depressive symptoms. Furthermore, our study suggests that the effects became stronger when temporary employment and job dissatisfaction were combined. In addition, the RERIs between daily employment and job dissatisfaction were >0 for alcohol use disorder and depressive symptoms, indicating a supra-additive (synergistic) interaction between the two variables.

Our findings are consistent with previous research showing that insecure employment is associated with alcohol use disorderReference De Cuyper, Kiran, De Witte and Aygoğlu31,Reference Marchand, Parent-Lamarche and Blanc32 and depressive symptoms,Reference Kim, Kim, Lee, Ju, Chun and Park9,Reference Kim, Muntaner, Khang, Paek and Cho33 but contradict the finding that there is no significant association between temporary employment and alcohol use disorder.Reference Park, Kim, Lee and Park13 Although fixed-term employment was not associated with alcohol use disorder, daily labour was significantly associated with an increased risk of alcohol problems than permanent employment. In addition, daily labourers had higher odds ratios for alcohol use disorder and depressive symptoms compared with fixed-term workers, suggesting that a shorter duration of an employment contract is associated with an increased risk for mental health problems.

Along with temporary employment, our study also found that job dissatisfaction was significantly associated with alcohol use disorder and depressive symptoms. Our results support the findings from previous studies that alcohol use disorder and depressive symptoms are affected by workers’ job satisfaction.Reference Oshio18–Reference Legleye, Baumann, Peretti-Watel, Beck and Chau20 Additionally, the more that workers became dissatisfied with their job, the stronger the effect. For example, those who were dissatisfied with their job had higher odds ratios than those who were neither satisfied nor dissatisfied.

To the best of our knowledge, our study is the first to suggest that workers show greater risks for alcohol use disorder and depressive symptoms when they are simultaneously exposed to temporary employment and job dissatisfaction. According to previous studies, the job demand–control modelReference Karasek34 and the effort–reward imbalance modelReference van Vegchel, de Jonge, Bosma and Schaufeli35 explain workers’ stress. Job dissatisfaction reflects imbalances between job demand and controlReference Rodríguez, Bravo, Peiró and Schaufeli36 and job effort and reward.Reference Li, Yang, Cheng, Siegrist and Cho37 Additionally, insecure employment reduces workers’ perceived rewards, causing an imbalance between effort and reward.Reference de Jonge, Bosma, Peter and Siegrist38 Thus, temporary employment and job dissatisfaction are more stressful when they are combined. Moreover, the combined effect of temporary employment and job dissatisfaction was greater than their sum.

Earlier studies have tried to identify the possible mechanisms by which temporary employment and job dissatisfaction affect workers’ mental health.Reference Tatsuse and Sekine39,Reference Park and Iacocca40 The detrimental effect of temporary employment and job dissatisfaction on mental health problems could be explained by elevated work stress among employees. Employment insecurity and job dissatisfaction increase work-related stressReference De Sio, Cedrone, Trovato Battagliola, Buomprisco, Perri and Greco41 and anxietyReference Saquib, Zaghloul, Saquib, Alhomaidan, Al-Mohaimeed and Al-Mazrou19 among workers, which in turn, increases the risk for mental health problems. One previous study revealed that stress-related mental health problems could be induced by job dissatisfaction.Reference Tatsuse and Sekine39 Similarly, Tatsuse et al found that lack of job satisfaction significantly predicted depression.Reference Tatsuse, Sekine and Yamada42 Moreover, to cope with work stress triggered by job insecurity and dissatisfaction, employees may turn to risky health-related behaviours such as cigarette smoking, substance misuse and alcohol misuse.Reference Park and Iacocca40 For example, stressful psychosocial work environment such as effort–reward imbalance can act as a trigger for heavy alcohol consumption.Reference Head, Stansfeld and Siegrist43

Physiological mechanisms also explain the relationship between temporary employment and job dissatisfaction, and mental health problems. According to previous studies, work stress and accumulated insecure employment induce dysregulation of the hypothalamic-pituitary-adrenal (HPA) axis.Reference Gustafsson, Janlert, Virtanen and Hammarstrom44,Reference Chandola, Heraclides and Kumari45 Overactivation of the HPA axis is closely related to heavy alcohol consumptionReference Thayer, Hall, Sollers and Fischer46 and major depression.Reference Pariante and Lightman47 Thus, dysregulation of the HPA axis may mediate the relationship between temporary employment and job dissatisfaction, and alcohol use disorder and depressive symptoms. Further in-depth studies are needed to elucidate the exact mechanism of the effects of temporary employment and job dissatisfaction on workers’ mental health.

Our study has some limitations. First, the KoWePS questionnaire regarding job dissatisfaction measured workers’ overall job satisfaction. Thus, detailed aspects of the work environment, such as job demand and control, hazardous physical and psychological threats, and perceived insecurities, could not be identified in this study because of a lack of information. Second, as health outcomes in our study were self-reported, social desirability bias and recall bias should be considered. One previous study reported that survey respondents tended to underreport their alcohol consumption.Reference Davis, Thake and Vilhena48 Thus, there is a possibility that the overall prevalence of alcohol use disorder might be underestimated in this study. Third, although we employed a generalised linear mixed model to investigate the association between job characteristics and mental health problems, the possibility of reverse causality should be explored in future studies. For example, the mental health problems of workers could negatively affect their employment statusReference Evans-Lacko, Knapp, McCrone, Thornicroft and Mojtabai49 and job satisfaction.Reference Oshio18

Despite these limitations, our study has several strengths. First, we used mixed models adjusted for the personal traits of the survey participants. Personal traits can confound the relationship between job satisfaction and mental health problems. For example, workers with high levels of neuroticism have been known to report more job dissatisfaction and mental health problems.Reference Rukh, Dang, Olivo, Ciuculete, Rask-Andersen and Schioth50 From this perspective, our study overcame the limitations of previous cross-sectional studies. Next, the KoWePS study participants were selected through a systemic sampling method; therefore, the participants represented households in Korea. Thus, our study has strength in terms of its generalisability.

In summary, our current study found that temporary employment and job dissatisfaction have detrimental effects on alcohol use disorder and depressive symptoms. These effects became stronger when temporary employment and job dissatisfaction were combined. Policy makers should implement appropriate actions to ease job insecurity among temporarily employed workers, and to improve job satisfaction.

Data availability

The raw Korea Welfare Panel Study (KoWePS) data are available online (https://www.KoWePS.re.kr:442/main.do). The raw KoWePS data do not comprise personal information.

Acknowledgements

The authors would like to thank the Seoul National University Social Welfare Research Centre and the Korea Institute for Health and Affairs for sharing the raw Korea Welfare Panel Study data, and the study participants in this survey. The paper's contents are the responsibility of the authors and do not represent the official views of the Seoul National University Social Welfare Research Centre or the Korea Institute for Health and Affairs.

Author contributions

S.-U.B. conceptualised the study, was responsible for the study methodology, conducted the formal analysis and data visualisation, and wrote the original draft of the manuscript. J.-U.W. conceptualised the study, supervised the study, and reviewed and edited the manuscript. J.-H.Y. supervised the study, and reviewed and edited the manuscript.

Funding

No funding was received for this study.

Declaration of interest

None.

References

Cooke, FL, Jiang, Y. The growth of non-standard employment in Japan and South Korea: the role of institutional actors and impact on workers and the labour market. Asia Pac J Hum Resour 2017; 55: 155–76.CrossRefGoogle Scholar
International Labour Organization. Non-Standard Employment Around the World: Understanding Challenges, Shaping Prospects. International Labour Organization, 2016.Google Scholar
Fana, M, Torrejón Pérez, S, Fernández-Macías, E. Employment impact of Covid-19 crisis: from short term effects to long terms prospects. J Ind Bus Econ 2020; 47: 391–410.CrossRefGoogle Scholar
Villanueva, V, Garcia, AM. Individual and occupational factors related to fatal occupational injuries: a case-control study. Accid Anal Prev 2011; 43: 123–7.CrossRefGoogle ScholarPubMed
Roquelaure, Y, LeManach, AP, Ha, C, Poisnel, A, Bodin, J, Descatja, A, et al. Working in temporary employment and exposure to musculoskeletal constraints. Occup Med (Lond) 2012; 62: 514–8.CrossRefGoogle ScholarPubMed
Ronnblad, T, Gronholm, E, Jonsson, J, Koranyi, I, Orellana, C, Kreshpaj, B, et al. Precarious employment and mental health: a systematic review and meta-analysis of longitudinal studies. Scand J Work Environ Health 2019; 45: 429–43.CrossRefGoogle ScholarPubMed
Hammarstrom, A, Virtanen, P, Janlert, U. Are the health consequences of temporary employment worse among low educated than among high educated? Eur J Public Health 2011; 21: 756–61.CrossRefGoogle ScholarPubMed
Yoo, KB, Park, EC, Jang, SY, Kwon, JA, Kim, SJ, Cho, KH, et al. Association between employment status change and depression in Korean adults. BMJ Open 2016; 6: e008570.CrossRefGoogle ScholarPubMed
Kim, W, Kim, TH, Lee, TH, Ju, YJ, Chun, SY, Park, EC. Temporary work and depressive symptoms in South Korean workers. Occup Med (Lond) 2017; 67: 421–4.CrossRefGoogle ScholarPubMed
Sasaki, N, Tabuchi, T, Okubo, R, Ishimaru, T, Kataoka, M, Nishi, D. Temporary employment and suicidal ideation in COVID-19 pandemic in Japan: a cross-sectional nationwide survey. J Occup Health 2022; 64: e12319.CrossRefGoogle ScholarPubMed
Park, S, Lee, JH, Lee, J. Alcohol abuse associated with accumulated periods of precarious employment: a four-year follow-up study of a young population in Korea. Int J Environ Res Public Health 2022; 19(12): 7380.Google Scholar
Kivimaki, M, Vahtera, J, Virtanen, M, Elovainio, M, Pentti, J, Ferrie, JE. Temporary employment and risk of overall and cause-specific mortality. Am J Epidemiol 2003; 158: 663–8.CrossRefGoogle ScholarPubMed
Park, SJ, Kim, SY, Lee, ES, Park, S. Associations among employment status, health behaviors, and mental health in a representative sample of South Koreans. Int J Environ Res Public Health 2020; 17(7): 2456.Google Scholar
Oliveira, AM, Silva, MT, Galvao, TF, Lopes, LC. The relationship between job satisfaction, burnout syndrome and depressive symptoms: an analysis of professionals in a teaching hospital in Brazil. Medicine (Baltimore 2018; 97: e13364.CrossRefGoogle Scholar
Bowling, NA, Eschleman, KJ, Wang, Q. A meta-analytic examination of the relationship between job satisfaction and subjective well-being. J Occup Organ Psychol 2010; 83: 915–34.CrossRefGoogle Scholar
Faragher, EB, Cass, M, Cooper, CL. The relationship between job satisfaction and health: a meta-analysis. Occup Environ Med 2005; 62: 105–12.CrossRefGoogle ScholarPubMed
Dirlam, J, Zheng, H. Job satisfaction developmental trajectories and health: a life course perspective. Soc Sci Med 2017; 178: 95–103.CrossRefGoogle Scholar
Oshio, T. Job dissatisfaction as a predictor of poor health among middle-aged workers: a 14-wave mixed model analysis in Japan. Scand J Work Environ Health 2021; 47: 591–9.CrossRefGoogle ScholarPubMed
Saquib, N, Zaghloul, MS, Saquib, J, Alhomaidan, HT, Al-Mohaimeed, A, Al-Mazrou, A. Association of cumulative job dissatisfaction with depression, anxiety and stress among expatriate nurses in Saudi Arabia. J Nurs Manag 2019; 27: 740–8.CrossRefGoogle ScholarPubMed
Legleye, S, Baumann, M, Peretti-Watel, P, Beck, F, Chau, N. Gender and age disparities in the associations of occupational factors with alcohol abuse and smoking in the French working population. Rev Epidemiol Sante Publique 2011; 59: 223–32.CrossRefGoogle ScholarPubMed
Berger, LK, Sedivy, SK, Cisler, RA, Dilley, LJ. Does job satisfaction mediate the relationships between work environment stressors and employee problem drinking? J Workplace Behav Health 2008; 23: 229–43.CrossRefGoogle Scholar
Jantaratnotai, N, Mosikanon, K, Lee, Y, McIntyre, RS. The interface of depression and obesity. Obes Res Clin Pract 2017; 11: 1–10.CrossRefGoogle ScholarPubMed
Thorrisen, MM, Bonsaksen, T, Hashemi, N, Kjeken, I, van Mechelen, W, Aas, RW. Association between alcohol consumption and impaired work performance (presenteeism): a systematic review. BMJ Open 2019; 9: e029184.CrossRefGoogle ScholarPubMed
Lerner, D, Adler, DA, Rogers, WH, Chang, H, Lapitsky, L, McLaughlin, T, et al. Work performance of employees with depression: the impact of work stressors. Am J Health Promot 2010; 24: 205–13.CrossRefGoogle ScholarPubMed
Aleksynska, M. Temporary employment, work quality, and job satisfaction. J Comp Econ 2018; 46: 722–35.CrossRefGoogle Scholar
Park, M, Kang, J. Job satisfaction of non-standard workers in Korea: focusing on non-standard workers’ internal and external heterogeneity. Work Employ Soc 2017; 31: 605–23.CrossRefGoogle Scholar
Babor, TF, Higgins-Biddle, JC, Saunders, JB, Monteiro, MG. AUDIT: The Alcohol Use Disorders Identification Test : Guidelines for Use in Primary Health Care, 2nd Ed. World Health Organization, 2001 (https://apps.who.int/iris/handle/10665/67205).Google Scholar
Lee, KW. Validation of the CESD-11 using item response theory. Ment Health Soc Work 2021; 49: 5–26.Google Scholar
Vilagut, G, Forero, CG, Barbaglia, G, Alonso, J. Screening for depression in the general population with the Center for Epidemiologic Studies Depression (CES-D): a systematic review with meta-analysis. PLoS One 2016; 11: e0155431.CrossRefGoogle Scholar
Hosmer, DW, Lemeshow, S. Confidence interval estimation of interaction. Epidemiology 1992; 3: 452–6.CrossRefGoogle ScholarPubMed
De Cuyper, N, Kiran, S, De Witte, H, Aygoğlu, FN. Associations between temporary employment, alcohol dependence and cigarette smoking among Turkish health care workers. Econ Ind Democr 2008; 29: 388–405.CrossRefGoogle Scholar
Marchand, A, Parent-Lamarche, A, Blanc, ME. Work and high-risk alcohol consumption in the Canadian workforce. Int J Environ Res Public Health 2011; 8: 2692–705.CrossRefGoogle ScholarPubMed
Kim, IH, Muntaner, C, Khang, YH, Paek, D, Cho, SI. The relationship between nonstandard working and mental health in a representative sample of the South Korean population. Soc Sci Med 2006; 63: 566–74.CrossRefGoogle Scholar
Karasek, RA Jr. Job demands, job decision latitude, and mental strain: implications for job redesign. Adm Sci Q 1979; 24: 285–308.CrossRefGoogle Scholar
van Vegchel, N, de Jonge, J, Bosma, H, Schaufeli, W. Reviewing the effort-reward imbalance model: drawing up the balance of 45 empirical studies. Soc Sci Med 2005; 60: 1117–31.CrossRefGoogle ScholarPubMed
Rodríguez, I, Bravo, MJ, Peiró, JM, Schaufeli, W. The demands-control-support model, locus of control and job dissatisfaction: a longitudinal study. Work Stress 2001; 15: 97–114.CrossRefGoogle Scholar
Li, J, Yang, W, Cheng, Y, Siegrist, J, Cho, SI. Effort-reward imbalance at work and job dissatisfaction in Chinese healthcare workers: a validation study. Int Arch Occup Environ Health 2005; 78: 198–204.CrossRefGoogle ScholarPubMed
de Jonge, J, Bosma, H, Peter, R, Siegrist, J. Job strain, effort-reward imbalance and employee well-being: a large-scale cross-sectional study. Soc Sci Med 2000; 50: 1317–27.CrossRefGoogle ScholarPubMed
Tatsuse, T, Sekine, M. Job dissatisfaction as a contributor to stress-related mental health problems among Japanese civil servants. Ind Health 2013; 51: 307–18.CrossRefGoogle ScholarPubMed
Park, CL, Iacocca, MO. A stress and coping perspective on health behaviors: theoretical and methodological considerations. Anxiety Stress Coping 2014; 27: 123–37.CrossRefGoogle ScholarPubMed
De Sio, S, Cedrone, F, Trovato Battagliola, E, Buomprisco, G, Perri, R, Greco, E. The perception of psychosocial risks and work-related stress in relation to job insecurity and gender differences: a cross-sectional study. Biomed Res Int 2018; 2018: 7649085.CrossRefGoogle ScholarPubMed
Tatsuse, T, Sekine, M, Yamada, M. The contributions made by job satisfaction and psychosocial stress to the development and persistence of depressive symptoms: a 1-year prospective study. J Occup Environ Med 2019; 61: 190–6.CrossRefGoogle Scholar
Head, J, Stansfeld, SA, Siegrist, J. The psychosocial work environment and alcohol dependence: a prospective study. Occup Environ Med 2004; 61: 219–24.CrossRefGoogle ScholarPubMed
Gustafsson, PE, Janlert, U, Virtanen, P, Hammarstrom, A. The association between long-term accumulation of temporary employment, the cortisol awakening response and circadian cortisol levels. Psychoneuroendocrinology 2012; 37: 789–800.CrossRefGoogle ScholarPubMed
Chandola, T, Heraclides, A, Kumari, M. Psychophysiological biomarkers of workplace stressors. Neurosci Biobehav Rev 2010; 35: 51–7.CrossRefGoogle ScholarPubMed
Thayer, JF, Hall, M, Sollers, JJ 3rd, Fischer, JE. Alcohol use, urinary cortisol, and heart rate variability in apparently healthy men: evidence for impaired inhibitory control of the HPA axis in heavy drinkers. Int J Psychophysiol 2006; 59: 244–50.CrossRefGoogle ScholarPubMed
Pariante, CM, Lightman, SL. The HPA axis in major depression: classical theories and new developments. Trends Neurosci 2008; 31: 464–8.CrossRefGoogle ScholarPubMed
Davis, CG, Thake, J, Vilhena, N. Social desirability biases in self-reported alcohol consumption and harms. Addict Behav 2010; 35: 302–11.CrossRefGoogle ScholarPubMed
Evans-Lacko, S, Knapp, M, McCrone, P, Thornicroft, G, Mojtabai, R. The mental health consequences of the recession: economic hardship and employment of people with mental health problems in 27 European countries. PLoS One 2013; 8: e69792.CrossRefGoogle ScholarPubMed
Rukh, G, Dang, J, Olivo, G, Ciuculete, DM, Rask-Andersen, M, Schioth, HB. Personality, lifestyle and job satisfaction: causal association between neuroticism and job satisfaction using Mendelian randomisation in the UK Biobank cohort. Transl Psychiatry 2020; 10: 11.CrossRefGoogle ScholarPubMed
Figure 0

Table 1 Prevalence of alcohol use disorder and depressive symptoms by socioeconomic features among pooled observations

Figure 1

Table 2 Association of temporary employment and job dissatisfaction, and alcohol use disorder

Figure 2

Table 3 Association of temporary employment and job dissatisfaction, and depressive symptoms

Figure 3

Fig. 1 The combined effect of temporary employment and job dissatisfaction on alcohol use disorder, using a fully adjusted generalised linear mixed model.

Figure 4

Fig. 2 The combined effect of temporary employment and job dissatisfaction on depressive symptoms, using a fully adjusted generalised linear mixed model.

Figure 5

Table 4 Association between changes in employment status and job satisfaction, and alcohol use disorder and depressive symptoms, using a fully adjusted generalised linear mixed model (N = 7481, observations: 39 107)

Submit a response

eLetters

No eLetters have been published for this article.