Hostname: page-component-848d4c4894-2pzkn Total loading time: 0 Render date: 2024-05-16T12:54:55.975Z Has data issue: false hasContentIssue false

Association between precarious employment and the onset of depressive symptoms in men and women: a 13-year longitudinal analysis in Korea (2009–2022)

Published online by Cambridge University Press:  16 April 2024

Seong-Uk Baek
Affiliation:
Department of Occupational and Environmental Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea The Institute for Occupational Health, Yonsei University College of Medicine, Seoul, Korea Graduate School, Yonsei University College of Medicine, Seoul, Korea
Jong-Uk Won
Affiliation:
Department of Occupational and Environmental Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea The Institute for Occupational Health, Yonsei University College of Medicine, Seoul, Korea
Yu-Min Lee
Affiliation:
Department of Occupational and Environmental Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea The Institute for Occupational Health, Yonsei University College of Medicine, Seoul, Korea
Jin-Ha Yoon*
Affiliation:
The Institute for Occupational Health, Yonsei University College of Medicine, Seoul, Korea Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Korea
*
Corresponding author: Jin-Ha Yoon; Email: flyinyou@yuhs.ac
Rights & Permissions [Opens in a new window]

Abstract

Aims

Increasing social concern surrounds the potential adverse health effects of precarious employment (PE). In this study, we explored the association between PE and the onset of depressive symptoms.

Methods

A total of 11,555 Korean waged workers (5700 females) contributed 62,217 observations from 2009 to 2022. PE was operationalized as a multidimensional construct, including employment insecurity, income inadequacy and lack of rights and protection. Depressive symptoms were evaluated using the Center for Epidemiological Studies-Depression Scale (11-item version). The association between PE and the onset of depressive symptoms in the subsequent year was estimated using generalized estimating equations. Effect sizes were reported as odds ratio (OR) and 95% confidence interval (CI).

Results

The overall incidence of depressive symptoms was 8.3% during the study period. In cross-sectional analysis, daily employment, disguised employment, lower monthly wages and lack of social insurance coverage were associated with concurrent depressive symptoms in both men and women. Longitudinally, fixed-term employment (OR: 1.17, 95% CI: 1.07–1.29), daily employment (OR: 1.64, 95% CI: 1.45–1.85) and disguised employment (OR: 1.36, 95% CI: 1.17–1.57) were associated with the onset of depressive symptoms among the overall sample. Among men, the lowest quartiles of wage were associated with the onset of depressive symptoms (OR: 1.34, 95% CI: 1.13–1.60), while the absence of a trade union was associated among women (OR: 1.18, 95% CI: 1.01–1.39).

Conclusions

Employment insecurity, inadequate income and lack of rights and protection may contribute to depressive symptoms. Therefore, PE serves as a significant social determinant of mental health among workers in Korea. Active policy efforts are warranted to improve the overall quality of employment in the workforce.

Type
Original Article
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
© The Author(s), 2024. Published by Cambridge University Press.

Introduction

Precarious employment (PE) is acknowledged as a significant social determinant of health. Although lacking a universal definition, the existing literature recognizes PE as encompassing various employment conditions, such as employment insecurity, inadequate income and the absence of worker rights and protection (Bodin et al., Reference Bodin, Caglayan, Garde, Gnesi, Jonsson, Kiran, Kreshpaj, Leinonen, Mehlum, Nena, Orellana, Peckham, Seixas, Vanroelen and Julia2020; Kreshpaj et al., Reference Kreshpaj, Orellana, Burstrom, Davis, Hemmingsson, Johansson, Kjellberg, Jonsson, Wegman and Bodin2020). PE is disproportionately distributed across socio-demographic backgrounds, including gender, age, educational level and immigrant status, thereby contributing to the exacerbation of health inequalities (Murillo-Huertas et al., Reference Murillo-Huertas, Ramos, Simón and Simón-Albert2023). Recent transformations in the global labour market, such as the Fourth Industrial Revolution or the ‘gig’ economy, have the potential to increase the prevalence of PE among workforces.

Previous studies have associated PE with various adverse health outcomes, including poor self-rated health (Pulford et al., Reference Pulford, Thapa, Thomson, Guilding, Green, Leyland, Popham and Katikireddi2022), cardiovascular diseases (Matilla-Santander et al., Reference Matilla-Santander, Muntaner, Kreshpaj, Gunn, Jonsson, Kokkinen, Selander, Baron, Orellana, Ostergren, Hemmingsson, Wegman and Bodin2022) and all-cause mortality (Matilla-Santander et al., Reference Matilla-Santander, Matthews, Gunn, Muntaner, Kreshpaj, Wegman, Sanchez-Martinez, Hernando-Rodriguez, Albin, Balogh, Davis and Bodin2023). Alongside physical conditions, PE is closely associated with mental health. Systematic reviews have demonstrated that specific elements, such as temporary employment or perceived job insecurity, exhibit positive associations with depressive symptoms or psychological distress (Jaramillo et al., Reference Jaramillo, Trillos and Julia2022; Ronnblad et al., Reference Ronnblad, Gronholm, Jonsson, Koranyi, Orellana, Kreshpaj, Chen, Stockfelt and Bodin2019). In recent years, studies have increasingly focused on the multi-dimensionality of PE. For instance, Swedish studies have shown that those experiencing low-quality employment, characterized by insecure employment, low income and lack of rights and protection, have an increased risk of developing common mental disorders, suicidal behaviours and substance dependence (Jonsson et al., Reference Jonsson, Muntaner, Bodin, Alderling, Rebeka, Burstrom, Davis, Gunn, Hemmingsson, Julia, Kjellberg, Kreshpaj, Orellana, Padrosa, Wegman and Matilla-Santander2021b; Pollack et al., Reference Pollack, Kreshpaj, Jonsson, Bodin, Gunn, Orellana, Ostergren, Muntaner and Matilla-Santander2022). Furthermore, a cross-sectional study in Korea revealed that multifaceted aspects of PE, including temporary employment, low wage and lack of trade union representation, are closely related to depressive symptoms and sleep disturbance (Baek et al., Reference Baek, Won and Yoon2023; Gong and Park, Reference Gong and Park2023). Regarding the mechanism linking the relationship between PE and mental health, chronic stress plays a significant role. For instance, recent studies have shown that individuals with high levels of employment precariousness experience elevated levels of stress (Julia et al., Reference Julia, Mendez-Rivero, Gomez-Gomez, Pozo and Bolibar2022; Mendez-Rivero et al., Reference Mendez-Rivero, Pozo and Julia2022), which may act as a trigger for the development of depression and anxiety. The heightened stress experienced by workers in PE may stem from the combination of demanding job roles and insufficient resources or control to manage them effectively (Bakker and Demerouti, Reference Bakker and Demerouti2007; Rivero et al., Reference Rivero, Padrosa, Utzet, Benach and Julià2021).

Despite the increasing scholarly interest in the relationship between PE and mental health, the current body of literature has limitations. First, previous studies on the impact of PE on mental health were predominantly based on European contexts, with limited representation from East Asian countries such as Korea. Considering that the manifestation of PE and its influence on mental health can be greatly influenced by regional policies (Padrosa et al., Reference Padrosa, Vanroelen, Muntaner, Benach and Julia2022), its association with the onset of depressive symptoms among Korean workers can provide a meaningful contribution to the literature. Second, as highlighted in previous systematic reviews (Jaramillo et al., Reference Jaramillo, Trillos and Julia2022; Ronnblad et al., Reference Ronnblad, Gronholm, Jonsson, Koranyi, Orellana, Kreshpaj, Chen, Stockfelt and Bodin2019), studies examining the relationship between PE and depressive symptoms often relied on a unidimensional definition based on the contract type; the association between depressive symptoms and PE elements beyond temporary employment remains an understudied area (Jaramillo et al., Reference Jaramillo, Trillos and Julia2022; Ronnblad et al., Reference Ronnblad, Gronholm, Jonsson, Koranyi, Orellana, Kreshpaj, Chen, Stockfelt and Bodin2019). Third, previous Korean studies on the effects of PE on mental health have predominantly utilized a cross-sectional design (Baek et al., Reference Baek, Won and Yoon2023; Gong and Park, Reference Gong and Park2023), thus failing to establish a temporal association between PE and depressive symptoms. Therefore, this study aims to explore the association of PE and the onset of depressive symptoms among Korean workers by encompassing its multidimensional aspects, including employment insecurity, income adequacy and lack of rights and protection.

Methods

Study sample

The study sample was derived from the Korean Welfare Panel Study (KWPS), a longitudinal survey conducted annually since 2006 by the Seoul National University Institute of Social Welfare and Korea Institute for Health and Social Affair. In the initial wave of the KWPS, a total of 7072 households and their members, representative of the Korean population, were included through systemic sampling. Trained interviewers conducted surveys through household visits for each selected household. The sample participation rate experienced an annual decline of about 3–5%, with 5853 households surveyed in the final wave (Wave 17, 2022). An additional 1800 and 2012 households were incorporated into the study sample in 2012 and 2022, respectively to address sample attrition. After including households formed through the separation of existing households, for example, when adult offspring create a new household, a total of 11,204 households and 24,077 individuals were surveyed during the study period.

A flowchart illustrating the selection process is presented in Fig. 1. As pertinent information on PE has been collected since 2009 (Wave 4), our initial inclusion involved 24,077 adult individuals who had participated at least once from the 4th (2009) to the 17th (2022) wave of the KWPS. Subsequently, we restricted our observations to instances where each participant was a waged worker, as variables related to PE were exclusively collected for this group. After excluding observations with missing values, 11,555 individuals (representing 62,217 observations) were included in the cross-sectional analysis. For the longitudinal analysis, we first excluded observations lacking information on depressive symptoms in the subsequent year. Subsequently, we excluded observations where participants already exhibited depressive symptoms to establish a clear temporal sequence. As a result, 9385 individuals (representing 50,188 individuals) were included in the longitudinal analysis.

Figure 1. Flowchart of the selection process of study sample.

Variables

Precarious employment

We adopted the definition of PE proposed by Kreshpaj et al. in their systematic review (Kreshpaj et al., Reference Kreshpaj, Orellana, Burstrom, Davis, Hemmingsson, Johansson, Kjellberg, Jonsson, Wegman and Bodin2020). PE, in this context, is a multidimensional construct comprising three primary dimensions, each further delineated into multiple themes. Table 1 provides an overview of the dimensions, themes and operationalization of PE in this study.

Table 1. Definitions of precarious employment

Detailed information on the operationalization is presented in Table S1.

a This criterion corresponds to the official classification of Statistics Korea.

b National pension plan, employment insurance, industrial accidence insurance.

For the first dimension, variables such as temporary employment (permanent, fixed-term and daily employment), part-time employment (full-time and part-time employment) and employment relationship (direct, indirect and disguised employment) were selected to assess employment insecurity. The term ‘disguised employment’ refers to workers who operate within the grey area between self-employment and traditional employment. These individuals provide services for a business under a contract that differs from a typical employment contract, yet their working conditions and income are ‘dependent’ on the party with whom they have contracted. Further details on this employment type can be found at Table S1 and the report by the International Labour Organization (ILO, Reference Philippe2016). In the second dimension, monthly wages were categorized into four groups based on quartile values (lowest [Q1], low [Q2], high [Q3], highest [Q4]) for each year, serving as variables to gauge income inadequacy. In the third dimension, variables such as the presence of a trade union in the workplace (yes or no) and employer coverage of social insurance (yes, borderline, no) were selected to assess the absence of rights and protection in the workplace. A detailed exposition of the definition of PE is presented in Table S1.

Depressive symptoms

The assessment of depressive symptoms utilized the 11-item version of the Center for Epidemiological Studies-Depression scale (CES-D-11). The CES-D-11, an abbreviated form of the original 20-item CES-D, comprises questionnaires evaluating the respondents’ emotional states and vigour over the preceding week. Responses to each question were recorded as integers ranging from 0 to 3, corresponding to the following: (i) 0: rarely or none (<1 day); (ii) 1: sometimes (2–3 days); (iii) 2: often (4–5 days) and (iv) 3: most of the time (6–7 days). In this investigation, Cronbach’s alpha for the CES-D-11 ranged from 0.81 to 0.86 annually. Prior research attests to the satisfactory reliability and validity of the CES-D-11 within the general Korean population (Park et al., Reference Park, Lee, Shin, Choi and Bae2022). The total score, indicative of overall depressive symptoms, spanned from 0 to 33, with a higher score signifying greater depressive symptoms. In line with established methodology from previous studies (Jeong et al., Reference Jeong, Lee, Kang, Kim, Park and Shin2021; Kang et al., Reference Kang, Jeong, Jang and Park2021; Kim et al., Reference Kim, Kim, Rhee and Youn2023a), the total score for CES-D-11 was adjusted by multiplying it by 20 and then dividing it by 11 to align with the cut-off criteria for the 20-item version of the CES-D. Individuals with scores ≥16 were categorized as presenting depressive symptoms (Jeong et al., Reference Jeong, Lee, Kang, Kim, Park and Shin2021; Kang et al., Reference Kang, Jeong, Jang and Park2021; Kim et al., Reference Kim, Kim, Rhee and Youn2023a).

Confounders

The selection of the confounders was informed by previous studies on the mental health effects of PE (Baek et al., Reference Baek, Won and Yoon2023; Gong and Park, Reference Gong and Park2023; Jonsson et al., Reference Jonsson, Muntaner, Bodin, Alderling, Rebeka, Burstrom, Davis, Gunn, Hemmingsson, Julia, Kjellberg, Kreshpaj, Orellana, Padrosa, Wegman and Matilla-Santander2021b; Pollack et al., Reference Pollack, Kreshpaj, Jonsson, Bodin, Gunn, Orellana, Ostergren, Muntaner and Matilla-Santander2022). Gender (men, women) was standardized. Age was categorized into five groups: <30, 30–39, 40–49, 50–59 and ≥60. Education level was classified as middle school or below, high school and college or above. Occupation was categorized according to the Korean Standard Classification of Occupation as blue collar, services or sales worker, or white collar. Marital status was classified as married, unmarried or other (separated, widowed, divorced). Unlike in Western countries, where the concept of de facto partnerships is socially and legally recognized, it remains uncommon in East Asian countries where traditional familial relationships are strong due to cultural influences; individuals in such partnerships were classified as unmarried. Chronic conditions were categorized as either present or absent, depending on whether the individual had been on medications for at least 6 months.

Statistical analysis

For the descriptive analysis, we initially examined the distribution of observations during the study periods to characterize their features. Subsequently, we investigated the incidence of depressive symptoms based on study variables.

In the regression analysis, we employed generalized estimating equations (GEEs) with an exchangeable working correlation matrix to account for repeated measurements for each participant given that our primary research focus was to explore the population-averaged effects of PE on depressive symptoms. The cross-sectional association between PE elements and concurrent depressive symptoms was explored. Specifically, for each year t, we explored how exposure to PE elements in year t is associated with having depressive symptoms in year t. Furthermore, the longitudinal association between PE and the onset of depressive symptoms in the subsequent year was examined, assessing how exposure to PE elements in year t was linked to the onset of depressive symptoms in year t + 1. To ensure temporal sequence clarity, observations in which participants already had depressive symptoms in year t were excluded.

Several additional analyses were conducted. First, considering the significant impact of the COVID-19 pandemic on employment conditions and mental health in the Korean population, a sensitivity analysis excluding waves conducted from 2020 to 2022 was performed. Second, an additional analysis was conducted, treating CES-D-11 as a continuous variable, to further assess the robustness of our findings. Third, based on the operationalization of PE used in this study, we developed a scale to represent the overall level of employment precariousness for workers (Table S2). Subsequently, we investigated the relationship between the overall PE score and the onset of depressive symptoms.

Acknowledging previous evidence suggesting gender differences in the mental health effects of PE (Mendez-Rivero et al., Reference Mendez-Rivero, Pozo and Julia2022; Padrosa et al., Reference Padrosa, Vanroelen, Muntaner, Benach and Julia2022), analyses were conducted for the overall sample and separately for men and women. GEE models with a logit link function were employed to estimate the odds ratio (OR) and 95% confidence intervals (CIs). All statistical analyses and visualizations were performed using R software (version 4.2.3; R Foundation for Statistical Computing, Vienna, Austria). The R package ‘geepack’ was utilized for GEE analyses.

Results

Table 2 displays the distribution of observations during the study period. The prevalence of temporary employment at 32.2% for fixed-term and 14.8% for daily employment. Additionally, 10.9% of participants had part-time employment, 6.3% were engaged in indirect employment and 4.4% were involved in disguised employment. About 79.0% had no trade union presence in their workplace, and 14.4% lacked social insurance coverage provided by the employer. The proportion of temporary, part-time, indirect or disguised employment was higher among women than men. Furthermore, women exhibited a tendency for lower income levels, the absence of a trade union in their workplace and a lack of coverage by social insurance.

Table 2. Distribution of characteristics of observations throughout the study periods

Values are presented as N (%).

Table 3 illustrates the incidence of depressive symptoms based on study characteristics. The overall incidence of depressive symptoms was 8.3% during the study period, with a higher incidence observed among individuals engaged in temporary, part-time and indirect or disguised employment. Additionally, individuals with lower wages, without trade union in their workplace and lacking social insurance coverage displayed a higher incidence of depressive symptoms.

Table 3. Incidence of depressive symptoms according to study variables

Values are presented as N (%).

Table 4 presents the cross-sectional association between temporary employment and concurrent depressive symptoms. Daily employment (OR: 1.67, 95% CI: 1.48–1.89), the lowest monthly wages (OR: 1.93, 95% CI: 1.66–2.23) and the absence of social insurance coverage (OR: 1.28, 95% CI: 1.15–1.43) were associated with an increased likelihood of having depressive symptoms in the overall sample, as well as in both men and women. Additionally, men with disguised employment were more likely to have depressive symptoms compared to those with direct employment (OR: 1.47, 95% CI: 1.18–1.84).

Table 4. Cross-sectional association between precarious employment and concurrent depressive symptoms

OR, odds ratio; CI, confidence interval.

Models adjusted for gender, age, educational level, occupation, marital status and chronic condition.

Figure 2 shows the longitudinal association between temporary employment and the onset of depressive symptoms in the following year. In men, fixed-term (OR: 1.24, 95% CI: 1.09–1.42) or daily employment (OR: 1.84, 95% CI: 1.56–2.18), disguised employment (OR: 1.47, 95% CI: 1.19–1.83) and the lowest wages (OR: 1.34, 95% CI: 1.13–1.60) were positively associated with depressive symptom onset in the following year. In women, daily employment (OR: 1.42, 95% CI: 1.19–1.70), disguised employment (OR: 1.27, 95% CI: 1.03–1.56) and the absence of trade union (OR: 1.18, 95% CI: 1.01–1.39) were positively associated with depressive symptom onset. Detailed results of the longitudinal analyses are provided in Table S3.

Figure 2. Longitudinal association between precarious employment and onset of depressive symptoms in the following year. Models adjusted for gender, age, educational level, occupation, marital status and chronic condition (OR, odds ratio; CI, confidence interval; Ref, reference).

Sensitivity analyses excluding waves conducted from 2020 to 2022 yielded comparable findings to the main analyses (Table S4). Additional analyses treating CES-D-11 as continuous variable produced findings that were consistent with the main analyses (Table S5). In the analysis considering overall PE level, we observed a dose–response relationship between the overall level of employment precariousness and the onset of depressive symptoms. Specifically, individuals exposed to the highest level of PE exhibited 2.3- and 1.6-fold increased odds of developing depressive symptoms in men and women, respectively (Table S6).

Discussion

In this study, we observed that the experience of PE is associated not only with concurrent depressive symptoms but also with the onset of depressive symptoms in both male and female individuals. The overall incidence of depressive symptoms observed in this sample was comparable to that observed in the general population in Korea. Factors such as employment insecurity, insufficient income and a lack of rights and protection were identified as contributors to an increased likelihood of the onset of depressive symptoms. Consequently, proactive policy measures are warranted to improve the overall quality of employment for workers (Kang, Reference Kang2023).

Our findings are consistent with prior research demonstrating the link between PE and compromised mental health among workers. As indicated in systematic reviews (Jaramillo et al., Reference Jaramillo, Trillos and Julia2022; Ronnblad et al., Reference Ronnblad, Gronholm, Jonsson, Koranyi, Orellana, Kreshpaj, Chen, Stockfelt and Bodin2019), previous evidence has predominantly concentrated on the type of contract. Similarly, earlier Korean studies defined PE primarily based on contract types, revealing associations between insecure employment and depressive symptoms (Han et al., Reference Han, Chang, Won, Lee and Ham2017; Jang et al., Reference Jang, Jang, Bae, Shin and Park2015; Oh et al., Reference Oh, Park and Lee2021). However, recent studies have emphasized that various dimensions of PE, including not only employment insecurity but also income inadequacy, as well as a lack of rights and protection, are closely linked to poor mental health (Jonsson et al., Reference Jonsson, Matilla-Santander, Kreshpaj, Johansson, Kjellberg, Burstrom, Ostergren, Nilsson, Stromdahl, Orellana and Bodin2021a, Reference Jonsson, Muntaner, Bodin, Alderling, Rebeka, Burstrom, Davis, Gunn, Hemmingsson, Julia, Kjellberg, Kreshpaj, Orellana, Padrosa, Wegman and Matilla-Santander2021b; Pollack et al., Reference Pollack, Kreshpaj, Jonsson, Bodin, Gunn, Orellana, Ostergren, Muntaner and Matilla-Santander2022; Vives et al., Reference Vives, Benmarhnia, Gonzalez and Benach2020). A recent cross-sectional study in Korea uncovered that workers in employment typologies with high precariousness – characterized by elevated employment insecurity, low wages with high volatility and a lack of rights and protection – were more prone to experiencing poor mental well-being (Baek et al., Reference Baek, Won and Yoon2023). Therefore, in alignment with this evolving perspective, our findings make a substantial contribution to the literature by demonstrating that the multidimensional aspects of PE among Korean workers are not only associated with concurrent depressive symptoms but also with their onset.

One intriguing finding in this study concerns the association between disguised employment and depressive symptoms. This employment type, alternatively termed a ‘dependent contractor’ or ‘dependent self-employed’, exists in the ambiguous realm between self-employment and waged work (Cherry and Aloisi, Reference Cherry and Aloisi2016; International Labour Office, 2017). In Korea, individuals in this employment category are required to autonomously seek and engage with clients to provide goods or services, thereby receiving income based on actual performance rather than a fixed salary. This form of employment is experiencing rapid growth, especially in conjunction with the rise of the ‘gig’ economy (Hendrickx, Reference Hendrickx2023; International Labour Office, 2017). In Korea, ongoing legal and social debates revolve around the classification of these workers as either self-employed or wage workers. Disguised employment often circumvents the application of labour laws, exposing workers to various physical and psychological workplace hazards (Kim, Reference Kim2020). As observed in previous cross-sectional studies in Korea, disguised employment demonstrated a positive association with depressive and anxiety symptoms (Baek et al., Reference Baek, Lim, Yun, Lee, Kim, Yoon and Won2022; Won et al., Reference Won, Park, Lee, Ha, Lee and Jeong2019), a correlation further affirmed in our longitudinal study.

Exposure to PE can contribute to the onset of depressive symptoms through intricate mechanisms. Initially, factors such as employment insecurity, low wages and a lack of rights and protection may heighten workers’ perceived insecurity, uncertainty and instability, consequently leading to psychological anxiety and stress (Bodin et al., Reference Bodin, Caglayan, Garde, Gnesi, Jonsson, Kiran, Kreshpaj, Leinonen, Mehlum, Nena, Orellana, Peckham, Seixas, Vanroelen and Julia2020). This observation is in line with recent studies that associate PE with elevated levels of biomarkers indicative of the stress response (Julia et al., Reference Julia, Mendez-Rivero, Gomez-Gomez, Pozo and Bolibar2022; Mendez-Rivero et al., Reference Mendez-Rivero, Pozo and Julia2022). Secondly, PE can subject workers to various physical, ergonomic or psychosocial workplace hazards, all of which are significant risk factors for the development of depressive symptoms (Rivero et al., Reference Rivero, Padrosa, Utzet, Benach and Julià2021). Thirdly, factors such as low wages and a lack of social insurances can result in material deprivation, a well-documented risk factor for the onset of depressive symptoms (Guan et al., Reference Guan, Guariglia, Moore, Xu and Al-Janabi2022; Ridley et al., Reference Ridley, Rao, Schilbach and Patel2020).

In this study, the association between PE and the onset of depressive symptoms was ubiquitously observed in both men and women. However, the prevalence of PE was observed to be higher among Korean women, aligning with prior research (Baek et al., Reference Baek, Won and Yoon2023; Ervin et al., Reference Ervin, Taouk, Hewitt and King2023). Particularly, in East Asian countries strongly influenced by Confucian culture, a cultural perception prevails that assigns women the role of ‘caregiver’ and men the role of ‘breadwinner’. Consequently, despite possessing high educational backgrounds, women are often discouraged from pursuing professional career development, leading to their concentration in more precarious job positions (Choi, Reference Choi2018). This underscores the need for the development of gender-sensitive policies aimed at improving employment quality among Korean workers.

Our findings are subject to several limitations. Firstly, the observational nature of our study prevents the establishment of a causal relationship between PE and depressive symptoms. Potential unmeasured confounders, such as prior psychiatric history, parental socio-economic position and the number of children in the household, could introduce bias into our estimations. We could not include these factors in our analyses due to a lack of information. Secondly, reliance on self-reported questionnaires for depressive symptoms introduces the possibility of measurement errors, including recall bias. While the CES-D-11 is commonly used in epidemiological studies, it was originally developed for screening purposes. Therefore, further research is warranted to confirm whether PE is associated with the onset of clinically diagnosed depressive disorders. Thirdly, limitations in the assessment of PE should be acknowledged. Specifically, in interpreting null findings between part-time employment and depressive symptoms, we were unable to distinguish between involuntary and voluntary part-time work due to lack of information. Additionally, our assessment of PE exposure did not account for other important elements, such as income volatility or vulnerability in the workplace, due to a lack of available information. Fifth, self-employed workers were excluded from our study, and detailed information on their employment conditions was not collected. Future studies should investigate employment precariousness among self-employed workers and its potential impact on their mental health in Korea (Kim et al., Reference Kim, Oh, Sim, Yun and Yoon2023b). Sixth, information on ethnicity and migration status was not collected. South Korea is ethnically homogeneous due to its geographical isolation and unique language, with approximately 96% of the total population being native Koreans, while immigrants comprise about 3.5% of the population. However, similar to other countries, immigrants, despite constituting a relatively small proportion of the population, tend to disproportionately experience PE in Korea. Consequently, further research is necessary to investigate the current status of PE among Korean migrant workers and its mental health effects (Pollack et al., Reference Pollack, Kreshpaj, Jonsson, Bodin, Gunn, Orellana, Ostergren, Muntaner and Matilla-Santander2022). Seventh, concerning the operationalization of income level, categorizing income levels based on quartile values of monthly wages may not fully reflect the ability to cover basic needs. Eighth, the potential for selection bias stemming from attrition and loss to follow-up may have impacted the estimates derived from our analysis. For instance, individuals with missing values on the onset of depressive symptoms or lacking follow-up data could exhibit high levels of employment precariousness at baseline and subsequently more prone to developing depressive symptoms (Kachi et al., Reference Kachi, Otsuka and Kawada2014). Consequently, such loss to follow-up could lead to an underestimation of the association between PE and the onset of depressive symptoms.

Nevertheless, the study exhibits several strengths. Firstly, a nationwide sample was employed, encompassing diverse demographics and occupations, thereby augmenting the generalizability of the findings. Secondly, prior Korean studies have focused solely on contract type or relied on cross-sectional analyses to explore the association between PE and depressive symptoms. In contrast, we contend that our investigation makes a meaningful contribution to the literature by uncovering the longitudinal association between the various facets of PE and the onset of depressive symptoms.

Conclusion

This study elucidates the impact of various elements of PE, including employment insecurity, logarithmic wages and the lack of worker rights and protection, on the development of depressive symptoms among Korean wageworkers. The findings underscore PE as a noteworthy social determinant affecting the mental health. Consequently, proactive policy interventions are imperative to alleviate the detrimental effects of PE on mental health and to improve employment quality for Korean workers.

Supplementary material

The supplementary material for this article can be found at https://doi.org/10.1017/S2045796024000258.

Availability of data and materials

The raw data are openly published at http://www.koweps.re.kr/.

Acknowledgements

We sincerely thank researchers in the Korea Institute for Health and Social Affairs and Seoul National University for conducting the KoWePS and sharing the data.

Financial support

None to declare.

Competing interests

None to declare.

Ethical standards

The institutional review board of the Yonsei Health System reviewed and approved this study (IRB No. 4-2022-0793). The authors assert that all procedures contributing to this work comply with the ethical standards of the relevant national and institutional committees on human experimentation and with the Helsinki Declaration of 1975, as revised in 2013.

References

Baek, SU, Lim, SS, Yun, S, Lee, WT, Kim, MS, Yoon, JH and Won, JU (2022) Mental health symptoms among dependent contractors in Korea: A cross-sectional study based on the Fifth Korean Working Condition Survey. Annals of Occupational & Environmental Medicine 34, .CrossRefGoogle ScholarPubMed
Baek, SU, Won, JU and Yoon, JH (2023) Multidimensional typologies of precarious employment and their relationships with mental well-being in Korean wageworkers: A latent class analysis based on the Korean Working Conditions Survey (2020-2021). Preventive Medicine 177, .CrossRefGoogle ScholarPubMed
Bakker, AB and Demerouti, E (2007) The Job Demands-Resources model: State of the art. Journal of Managerial Psychology 22(3), 309328.CrossRefGoogle Scholar
Bodin, T, Caglayan, C, Garde, AH, Gnesi, M, Jonsson, J, Kiran, S, Kreshpaj, B, Leinonen, T, Mehlum, IS, Nena, E, Orellana, C, Peckham, T, Seixas, N, Vanroelen, C and Julia, M (2020) Precarious employment in occupational health – An OMEGA-NET working group position paper. Scandinavian Journal of Work, Environment & Health 46(3), 321329.CrossRefGoogle Scholar
Cherry, MA and Aloisi, A (2016) Dependent contractors in the gig economy: A comparative approach. American University Law Review 66, .Google Scholar
Choi, SE (2018) What makes it difficult for highly educated Korean women to participate in the labor market? The Journal of the Korean Welfare State and Social Policy 2(1), 5886.Google Scholar
Ervin, J, Taouk, Y, Hewitt, B and King, T (2023) The gendered associations between precarious employment and mental health in working-age Australians: A longitudinal analysis using 16 waves of the HILDA survey. Social Science & Medicine 339, .CrossRefGoogle ScholarPubMed
Gong, SC and Park, S (2023) Increased risk of sleep problems according to employment precariousness among paid employees in Korea. American Journal of Industrial Medicine 66(10), 876883.CrossRefGoogle ScholarPubMed
Guan, N, Guariglia, A, Moore, P, Xu, F and Al-Janabi, H (2022) Financial stress and depression in adults: A systematic review. PLoS One 17(2), .CrossRefGoogle ScholarPubMed
Han, KM, Chang, J, Won, E, Lee, MS and Ham, BJ (2017) Precarious employment associated with depressive symptoms and suicidal ideation in adult wage workers. Journal of Affective Disorders 218, 201209.CrossRefGoogle ScholarPubMed
Hendrickx, F (2023) Platform work and beyond. European Labour Law Journal 14(4), 465473.CrossRefGoogle Scholar
ILO (2016) Disguised employment and dependent self-employment. In Philippe, M (ed) Non-standard Employment Around the World: Understanding Challenges, Shaping Prospects. Geneva: International Labour Organization, 98102.Google Scholar
International Labour Office (2017) Dependent self-employment: Trends, challenges and policy responses in the EU. Geneva: International Labour Organization, 56.Google Scholar
Jang, SY, Jang, SI, Bae, HC, Shin, J and Park, EC (2015) Precarious employment and new-onset severe depressive symptoms: A population-based prospective study in South Korea. Scandinavian Journal of Work, Environment & Health 41(4), 329337.CrossRefGoogle ScholarPubMed
Jaramillo, NR, Trillos, CE and Julia, M (2022) The measure of precarious employment and its impact on the mental health of workers: A systematic review 2007-2020. Work 73(2), 639650.CrossRefGoogle ScholarPubMed
Jeong, SH, Lee, DW, Kang, SH, Kim, SH, Park, EC and Shin, J (2021) Association between changes in depressive symptoms and hazardous drinking: Findings from the Korea Welfare Panel Study (2013-2018). Frontiers in Public Health 9, .Google ScholarPubMed
Jonsson, J, Matilla-Santander, N, Kreshpaj, B, Johansson, G, Kjellberg, K, Burstrom, B, Ostergren, PO, Nilsson, K, Stromdahl, S, Orellana, C and Bodin, T (2021a) Precarious employment and general, mental and physical health in Stockholm, Sweden: A cross-sectional study. Scandinavian Journal of Public Health 49(2), 228236.CrossRefGoogle ScholarPubMed
Jonsson, J, Muntaner, C, Bodin, T, Alderling, M, Rebeka, R, Burstrom, B, Davis, L, Gunn, V, Hemmingsson, T, Julia, M, Kjellberg, K, Kreshpaj, B, Orellana, C, Padrosa, E, Wegman, DH and Matilla-Santander, N (2021b) Low-quality employment trajectories and risk of common mental disorders, substance use disorders and suicide attempt: A longitudinal study of the Swedish workforce. Scandinavian Journal of Work, Environment & Health 47(7), 509520.CrossRefGoogle ScholarPubMed
Julia, M, Mendez-Rivero, F, Gomez-Gomez, A, Pozo, OJ and Bolibar, M (2022) Association between precarious employment and chronic stress: Effect of gender, stress measurement and precariousness dimensions—A cross-sectional study. International Journal of Environmental Research & Public Health 19(15), .CrossRefGoogle ScholarPubMed
Kachi, Y, Otsuka, T and Kawada, T (2014) Precarious employment and the risk of serious psychological distress: A population-based cohort study in Japan. Scandinavian Journal of Work, Environment & Health 40(5), 465472.CrossRefGoogle ScholarPubMed
Kang, D (2023) Problems and suggested improvement plans for occupational health service in Korea. Annals of Occupational & Environmental Medicine 35, .CrossRefGoogle ScholarPubMed
Kang, SH, Jeong, W, Jang, SI and Park, EC (2021) The effect of depression status change on daily cigarette smoking amount according to sex: An eleven-year follow up study of the Korea Welfare Panel Study. BMC Public Health 21(1), .CrossRefGoogle ScholarPubMed
Kim, SH (2020) The labor legal issue and task on the protection of gig worker by digital platform. Hannam Journal of Law & Technology 26(2), 5996.Google Scholar
Kim, KM, Kim, JH, Rhee, HS and Youn, BY (2023a) Development of a prediction model for the depression level of the elderly in low-income households: Using decision trees, logistic regression, neural networks, and random forest. Scientific Reports 13(1), .Google ScholarPubMed
Kim, MS, Oh, J, Sim, J, Yun, BY and Yoon, JH (2023b) Association between exposure to violence, job stress and depressive symptoms among gig economy workers in Korea. Annals of Occupational & Environmental Medicine 35, .CrossRefGoogle ScholarPubMed
Kreshpaj, B, Orellana, C, Burstrom, B, Davis, L, Hemmingsson, T, Johansson, G, Kjellberg, K, Jonsson, J, Wegman, DH and Bodin, T (2020) What is precarious employment? A systematic review of definitions and operationalizations from quantitative and qualitative studies. Scandinavian Journal of Work, Environment & Health 46(3), 235247.CrossRefGoogle ScholarPubMed
Matilla-Santander, N, Matthews, AA, Gunn, V, Muntaner, C, Kreshpaj, B, Wegman, DH, Sanchez-Martinez, N, Hernando-Rodriguez, JC, Albin, M, Balogh, R, Davis, L and Bodin, T (2023) Causal effect of shifting from precarious to standard employment on all-cause mortality in Sweden: An emulation of a target trial. Journal of Epidemiology & Community Health 77(11), 736743.CrossRefGoogle ScholarPubMed
Matilla-Santander, N, Muntaner, C, Kreshpaj, B, Gunn, V, Jonsson, J, Kokkinen, L, Selander, J, Baron, SL, Orellana, C, Ostergren, PO, Hemmingsson, T, Wegman, DH and Bodin, T (2022) Trajectories of precarious employment and the risk of myocardial infarction and stroke among middle-aged workers in Sweden: A register-based cohort study. The Lancet Regional Health – Europe 15, .CrossRefGoogle ScholarPubMed
Mendez-Rivero, F, Pozo, OJ and Julia, M (2022) Gender differences in the indirect effect of psychosocial work environment in the association of precarious employment and chronic stress: A cross-sectional mediation analysis. International Journal of Environmental Research & Public Health 19(23), .CrossRefGoogle ScholarPubMed
Murillo-Huertas, IP, Ramos, R, Simón, H and Simón-Albert, R (2023) Is multidimensional precarious employment higher for women? Journal of Industrial Relations 65(1), 4471.CrossRefGoogle Scholar
Oh, JW, Park, JY and Lee, S (2021) Association between exercise variations and depressive symptoms among precarious employees in South Korea. Scientific Reports 11(1), .CrossRefGoogle ScholarPubMed
Padrosa, E, Vanroelen, C, Muntaner, C, Benach, J and Julia, M (2022) Precarious employment and mental health across European welfare states: A gender perspective. International Archives of Occupational and Environmental Health 95(7), 14631480.CrossRefGoogle ScholarPubMed
Park, B-S, Lee, K, Shin, C, Choi, K and Bae, S-W (2022) Longitudinal measurement invariance of the Korean version of the CES-D-11 scale. Sage Open 12(3), .CrossRefGoogle Scholar
Pollack, R, Kreshpaj, B, Jonsson, J, Bodin, T, Gunn, V, Orellana, C, Ostergren, PO, Muntaner, C and Matilla-Santander, N (2022) Low-quality employment trajectories and the risk of common mental health disorders among individuals with Swedish and foreign background – a register-based cohort study. Scandinavian Journal of Work, Environment & Health 48(5), 351360.CrossRefGoogle ScholarPubMed
Pulford, A, Thapa, A, Thomson, RM, Guilding, A, Green, MJ, Leyland, A, Popham, F and Katikireddi, SV (2022) Does persistent precarious employment affect health outcomes among working age adults? A systematic review and meta-analysis. Journal of Epidemiology & Community Health 76(11), 909917.CrossRefGoogle ScholarPubMed
Ridley, M, Rao, G, Schilbach, F and Patel, V (2020) Poverty, depression, and anxiety: Causal evidence and mechanisms. Science 370(6522), .CrossRefGoogle ScholarPubMed
Rivero, FM, Padrosa, E, Utzet, M, Benach, J and Julià, M (2021) Precarious employment, psychosocial risk factors and poor mental health: A cross-sectional mediation analysis. Safety Science 143, .Google Scholar
Ronnblad, T, Gronholm, E, Jonsson, J, Koranyi, I, Orellana, C, Kreshpaj, B, Chen, L, Stockfelt, L and Bodin, T (2019) Precarious employment and mental health: A systematic review and meta-analysis of longitudinal studies. Scandinavian Journal of Work, Environment & Health 45(5), 429443.CrossRefGoogle ScholarPubMed
Vives, A, Benmarhnia, T, Gonzalez, F and Benach, J (2020) The importance of using a multi-dimensional scale to capture the various impacts of precarious employment on health: Results from a national survey of Chilean workers. PLoS One 15(9), .CrossRefGoogle ScholarPubMed
Won, G, Park, JB, Lee, KJ, Ha, R, Lee, S and Jeong, I (2019) The association between dependent self-employment and self-reported depression/anxiety and sleep disorder in South Korea. Annals of Occupational & Environmental Medicine 31, .CrossRefGoogle ScholarPubMed
Figure 0

Figure 1. Flowchart of the selection process of study sample.

Figure 1

Table 1. Definitions of precarious employment

Figure 2

Table 2. Distribution of characteristics of observations throughout the study periods

Figure 3

Table 3. Incidence of depressive symptoms according to study variables

Figure 4

Table 4. Cross-sectional association between precarious employment and concurrent depressive symptoms

Figure 5

Figure 2. Longitudinal association between precarious employment and onset of depressive symptoms in the following year. Models adjusted for gender, age, educational level, occupation, marital status and chronic condition (OR, odds ratio; CI, confidence interval; Ref, reference).

Supplementary material: File

Baek et al. supplementary material

Baek et al. supplementary material
Download Baek et al. supplementary material(File)
File 28.6 KB