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- Research Article Relationship of activities outside work to sleep and depression/anxiety disorders in Korean workers: the 4th Korean working condition survey
- Sung Won Jung, Kyung-Jae Lee, Hee Sung Lee, Guang Hwi Kim, Jae Gwang Lee, June-Hee Lee, Joo Ja Kim
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Annals of Occupational and Environmental Medicine 2017;29:51.
DOI: https://doi.org/10.1186/s40557-017-0206-8
Published online: October 11, 2017
Department of Occupational & Environmental Medicine, Soonchunhyang University Hospital, Seoul, South Korea 
• Received: March 31, 2017 • Accepted: September 28, 2017
© The Author(s). 2017
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
Abstract
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Background Sleep disorders and depression/anxiety disorders are long-standing and significant problem for mental health. Also there are already known so many negative health effect of these disorders. But there were few studies to examine the association between activities outside work and forementioned disorders. So this study aimed the association of those things by using the Republic of Korean data.
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Methods Data from 32,232 wage workers were used in the 4th Korean Working Condition Survey. General and occupational characteristics, sleep disorders, depression/anxiety disorders and activities outside work are included in questionnaire. To find the relationship between activities outside work and sleep, depression/anxiety disorders, multivariate logistic regression analysis was used after adjusting for general and occupational characteristics.
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Results We observed that volunteer activities increased the odds ratio of both sleep disorders and depression/anxiety disorders(Odds ratio[OR] = 1.35, 95% confidence interval[CI]: 1.03–1.78 and OR = 1.54, 95% CI: 1.29–1.84, respectively). And self-development activities increase the odds ratio of sleep disorders(OR = 1.35, 95% CI: 1.17–1.57). Gardening activities lowered the odds ratio of depression/anxiety disorders(OR = 0.74, 95% CI: 0.59–0.94).
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Conclusion Some of activities outside work were related to sleep disorders and depression/anxiety disorders among Korean wage workers. Our results showed negative health effect of some kinds of activities outside work such as volunteering and self-devlopment compared to other studies that emphasized positive effect of those activities for health.
Background
Mental disorders are widely recognized as a significant issue in modern society, and according to a recent study, approximately 17% of South Korean citizens have experienced either a mental disorder or illness [1]. Figures from the Korea Informative Classification of Diseases (KOICD) report that over 2,000,000 patients were either hospitalized or clinically treated for mental disorders between 2008 and 2014, with a steadily increasing number of patients each year. The percentage of sleep disorders and depression/anxiety disorders is high among mental disorders, covering close to half of all mental illnesses (http://www.koicd.kr/stat/diseaseStats.do).
A large body of research studying the various effects of sleep disorders and depression/anxiety disorders has been produced over the years. Results show that sleep disorder is an illness that lowers work efficiency and quality of life [2]. A sleep disorder can also be a risk factor contributing to obesity and cardiovascular disease, among other various diseases [3, 4]. Furthermore, sleep disorders are one of the main causes of traffic accidents and can lead to an increase in suicides [5, 6]. This will undoubtedly become a considerable socioeconomic burden to bear [7].
The above is also evident in depression/anxiety disorders. They can become risk factors to various life threatening diseases, such as cardiovascular disease, osteoporosis, and heart failure [8–10]. If the degree of depression and anxiety during pregnancy is high, it may also cause perinatal problems such as premature birth, neonatal death, and maternal complications [11]. Furthermore, the risk of suicide increases if an individual is suffering from a depression/anxiety disorder [12].
Therefore, not only is this a significant public health problem, but it can also have a profound socioeconomic impact [13]. If such disorders are ignored, without adequate care, it will lead to chronic suffering and lower the quality of life. Thus, the need to emphasize prevention and treatment of depression/anxiety disorders is more important now than ever [14].
The aforementioned issues have led to many studies focused on identifying risk factors of sleep and depression/anxiety disorders. Among such studies, the bulk of the research is aimed towards identifying correlations between occupational factors [2, 15–17] and general sociological factors [18–20]. However, there is a shortage of research examining the correlation of non-occupational factors such as activities outside work and the aforementioned disorders, especially research utilizing data from the Republic of Korea.
Activities outside work, such as leisure activity can be defined as social and physical activities that require little effort [21]. Enjoying some free time after work or leisure activities on weekends can be a great opportunity to recover and regain energy [22]. Examples of common activities outside work from previous study results include volunteering, education, training, self-development, gardening, cultural activities, and sports [23]. The ‘Fourth Korean Working Conditions Survey (KWCS)’ questionnaire included questions related to the list of activities outside work previously mentioned.
There are various health benefits to be gained from engaging in activities outside work, and previous studies show that such activities have a positive effect on mental disorders. The aim of this study is to investigate the effects of activities outside work on sleep and depression/anxiety disorders in employed workers.
Methods
This research used data from the ‘Fourth Korean Working Conditions Survey (KWCS)’ conducted by the Occupational Safety and Health Research Institute (OSHRI) in 2014. This survey was developed based on the ‘European Working Conditions Survey’ conducted across Europe in 2010. The survey performed door-to-door interviews targeting wage workers aged 15 and over; as a result, 50,007 people were surveyed for the KWCS. Respondents that provided insufficient answers, such as ‘do not know’, or those who either did not or refused to respond were excluded. As wage workers were the target population, self-employed workers, employers, unpaid family/household members, and other workers were excluded. It also excluded the low number of respondents in the occupational category that are serving in the military or employed as agriculture and forestry workers, and respondents in the ‘between 15 and 19’ age group were excluded. In total, 32,232 wage workers over the age 20 or above became the sample of the survey.
General and occupational characteristics
General characteristics included gender, age (20–29 years, 30–39 years, 40–49 years, 50–59 years, or ≥60 years), and level of education (did not complete middle school, high school graduate, and university graduate and above). Occupational characteristics included employment status (regular work or temporary work/day labor), type of occupation (management/professional, regular office work, service/sales, technical, or manual/simple labor), weekly work hours (≤40, 41–48, 49–60, or >60), shift work flexibility, size of workplace (<50, 50–299, or ≥300), monthly income (<1,300,000 Korean won [KRW],1,300,000–1,990,000 KRW, 2,000,000–2,990,000 KRW, or ≥3,000,000 KRW). It was also assessed whether there was sufficient time to engage in activities outside of work hours.
Activities outside work
Activities outside work were independent variables. Individuals responded to the question of “In general, how often are you involved in any of the following activities outside work?” Activities outisde work include volunteer work, self-developtmnet, sports, outdoor/cultural activities or gardening. Answers including "more than an hour every day," "less than an hour every day or two," “once or twice a week,” “once or twice a month,” or “once or twice a year” were considered to have “taken part” in a activity outside work [14].
Sleep disorder and depression/anxiety disorders
Sleep disorders and depression/anxiety disorders, as dependable variables, were deemed to be apparent when a person answers ‘yes’ to the sub-items “Insomnia or sleep disorder” and “Depression or anxiety” from the question "Have you had any of the following problems during the past 12 months?".
Data analysis
First, a chi-square test was utilized to determine the distribution of employed workers with sleep disorders and depression/anxiety disorders according to their general and occupational characteristics. Next, chi-square test was used to determine the distribution of sleep disorders and depression/anxiety disorders according to activities outside work.
Next, the study attempted to analyze the relationship between activities outside work as independent variables with sleep disorders and depression/anxiety disorders as dependent variables. Multivariate logistic regression analysis was performed by adjusting general characteristics and occupational characteristics. The significance level was 0.05. All statistical analyses were performed using the SPSS software (version 14.0; SPSS Inc., Chicago, IL).
Results
Women had a higher percentage of sleep disorders (3.1%) and depression/anxiety disorders (1.6%) than men did. As age increased, there were higher chances of sleep disorders and depression/anxiety disorders. Lower levels of education also showed high chances of sleep disorders and depression/anxiety disorders. Regarding types of occupation, manual/simple labor had a higher proportion of sleep disorders (3.4%) and depression/anxiety disorders (1.9%) than other subtypes of workers. In terms of employment status, the proportion of non-regular workers was significantly higher than that of regular workers (1.6%) in depression/anxiety disorders, but about sleep disorders, there were no significant difference between the two groups. The longer the weekly working hours, the higher the percentage of sleep disorders (3.9%), but depression/anxiety disorders did not show any significant difference. In terms of size of workplace, the sleep disorder rate was the highest (3.5%) in medium sized business (50–299 employees). The sleep disorder rate was higher (4.7%) in shift work. The lower the income level, the higher the proportion of depression/anxiety disorders (1.8%), while there were no significant differences regarding sleep disorders and income level. Sleep disorders (4.8%) and depression/anxiety disorders (2.1%) were significantly higher in those who did not have enough time to do other activities outside of working hours. (Table 1).
Table 1
Number of workers with sleep disorders and depressive/anxiety disorders by general and occupational characteristics
A chi-square test was performed to determine the distribution of sleep disorders and depression/anxiety disorders according to activities outside work. The proportion of sleep disorders were significantly higher (4.0%) in those that performed volunteering than in those that did not volunteer, but there was no significant difference between the two groups in depression/anxiety disorders.
Similarly, the proportion of sleep disorders were significantly higher (3.2%) in those that did self-development activities than those that did not partake in self-development activities, and there was no difference between the two groups in depression/anxiety disorders.
The proportion of depression/anxiety disorders was significantly lower (1.0%) in those who participated in gardening activities than in those who did not, while the difference in sleep disorders was not significant between the two groups. (Table 2).
Table 2
Distribution of sleep disorders and depression/anxiety disorders by non-occupational behavior
Multivariate logistic regression analysis was performed to determine the relationship between depression/anxiety disorders according to activities outside work. The previously mentioned general and occupational characteristics were adjusted and analyzed. As a result, it was found that the odds ratio of depression/anxiety disorder was significantly higher in individuals who volunteered compared to non-volunteers (OR = 1.35 [95% CI: 1.03–1.78]). In the case of gardening activities, it was found that the odds ratio of depression/anxiety disorders were significantly lower in those that did partake than in those that did not (OR = 0.74 [95% CI: 0.59–0.94]).(Table 3).
Table 3
Odds ratios of variables associated with depression/anxiety disorders
Multivariate logistic regression analysis was performed to determine the relationship of sleep disorders with activities outside work. The previously mentioned general and occupational characteristics were adjusted.
It was confirmed that the odds ratio of sleep disorders was significantly higher in those that did partake in volunteering and self-development activities than in those that did not (respectively: OR = 1.54 [95% CI: 1.29–1.84]; OR = 1.35 [95% CI: 1.17–1.57]). (Table 4).
Table 4
Odds ratios of variables associated with sleep disorders
Discussion
The study found what relationship activities outside work, such as volunteering, self-development activities, sports/cultural activities, and gardening activities, had with the mental disorders of Korean wage workers, especially sleep disorders and depression/anxiety disorders.
In this study, volunteer activities increased the odds ratio of sleep disorders and depression/anxiety disorders. However, previous studies reported that participation in volunteer activities increased sleep quality and contributed to health improvements [23]. In addition, some studies reported that volunteer activities, especially in the elderly, helped to alleviate and prevent depression/anxiety disorders. Other studies claimed that volunteering by young adults aged between 18 and 42 reported less depressive symptoms [24]. There are many studies on the benefits of volunteering; however, this study was one of the few that ended up showing negative health effects.
The contrary results to previous studies in our research could be due to reasons for volunteering, as volunteering participation in South Korea is not motivated by pure voluntary motives but rather by involuntary motives. To elaborate, the motivation for volunteering in numerous cases in South Korea is not to seek or achieve some sense of accomplishment or satisfaction, but is driven by a type of social motivation, such as a tool for employment or promotion. For employers, corporate social responsibility (CSR) may be factor. CSR is the responsibility of the company towards the community and the environment [25]. It has been found that CSR can have a negative effect on employees as companies force employee participation in volunteering activities.
In this study, self-development activities increase the odds ratio of sleep disorders. In previous studies, it was reported that the lower mental effort in the evening brought bettered the subjective quality of sleep and improvements in health [22]. In the case of Korean wage workers, it is thought that the above results were present because many self-development activities, such as education and training, take place in the evening after work [26].
This study reported that gardening activities lowered the odds ratio of depression/anxiety disorders. Many previous studies have reported the positive effects of gardening, such as how gardening may decrease depression/anxiety symptoms and improve mental health [27]. This study produced similar results.
Many previous studies focused on the beneficial effects of activities outside work. Particularly, research focused on the health effects of leisure time physical activity (LTPA) during leisure time. LTPA lowers the occurrence of obesity [28], mortality, and cardiovascular disease [29]. Additionally, LTPA during pregnancy has the effect of lowering the risk of preeclampsia and gestational hypertension [30]. Furthermore, steady LTPA lowers the risk of pancreatic cancer in young people [31], and certain studies show it can prevent various types of cancer [32]. Studies on mental disorders have also found that LTPA can lower the risk of postpartum depression [33], depressive symptoms [34], and help sleep initiation in elderly people [35]. However, no specific relationships were found in this study. The reason may be that in the KWCS, cultural activities were also included (along with sports and exercise) as an independent variable and so, the range of scope increased.
One strength of this study is that this was the first time that the relationship between activities outside work of workers with sleep disorders and depression/anxiety disorders was analyzed using the Republic of Korean data. There were many studies on activities outside work relating to mental health of workers in foreign countries. However, this study is the first research attempting to find out how activities outside work, which are major indicators of well-being, affect the mental health of workers in the Republic of Korea, and so the researchers of this study believe this to be important.
Second, the study was able to confirm that results from previous research conducted in foreign countries did not yield the same effects in South Korea. The health effects of activities outside work do not necessarily affect South Korean wage workers positively. Thus, this study was able to highlight the necessity of further research on this matter. The researchers of this study believe further research is needed to reflect the unique characteristics of the Republic of Korea.
This study, however, has limitations. First, as a cross-sectional study, it did not reveal the causality between leisure and social activities with sleep disorders and depression/anxiety disorders. Though it did present a relationship that did not previously exist, and so it was meaningful in the sense that new alternatives were presented.
Second, in the KWCS, general characteristics such as personal history, drinking, smoking, and other factors that may affect sleeping or depression/anxiety were excluded from the questionnaire items and were not included in the adjustment. However, the researchers of the study believe the value of this research to be sufficient as there are already many studies based on existing Working Conditions Surveys and European Work Environment Surveys.
Third, the definition of sleep disorders and depression/anxiety disorders may lack objectivity, as the survey was a self -report questionnaire. However, many of the existing studies have used self-report questionnaires to show sufficient, valid results.
Although there are some limitations as mentioned above, the research results will be a valuable resource towards discovering new alternatives for improving the mental health of Korean wageworkers.
Conclusion
The study found how activities outside work such as volunteer activities, self-development activities, sports/cultural activities, and gardening activities in South Korean wageworkers are related to sleep disorders and depression/anxiety disorders. Contrary to previous research results, voluntary activities and self-development activities were shown to increase risk of sleep disorders or depression/anxiety disorders. The relationships with gardening activities were consistent with previous studies, reducing risk of depression/anxiety disorders. The results of this study suggest that the participation of activities outside work of the Republic of Korean wage workers negatively affect mental health. Therefore, a systematic review and preparation of countermeasures for the causes leading to these results are needed in subsequent studies.
Acknowledgements
None.
Not applicable.
Data sharing not applicable to this article as no datasets were generated or analysed during the current study.
Abbreviations
CI
Confidence Interval
EWCS
European Working Conditions Survey
KOICD
Korea Informative Classification of Diseases
KRW
Korean Won
KWCS
Korean Working Conditions Survey
LTPA
Leisure time physical activity
OR
Odds Ratio
OSHRI
Institute Occupational Safety and Health Research
Authors’ contributions
Study conception and design: KJL, SWJ; Data acquisition: SWJ, GHK, HSL, JGL; Data analysis and interpretation: KJL, SWJ; Drafting the manuscript: SWJ; Critical revision: KJL, JJK. All authors read and approved the final manuscript.
Ethics approval and consent to participate
Not applicable.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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Relationship of activities outside work to sleep and depression/anxiety disorders in Korean workers: the 4th Korean working condition survey
Relationship of activities outside work to sleep and depression/anxiety disorders in Korean workers: the 4th Korean working condition survey
| Depression/Anxiety disorder | Sleep disorder | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Total (N = 32,232) | Yes | No | P- valuea | Yes | No | P- valuea | ||||||
| N | (%) | N | (%) | N | (%) | N | (%) | |||||
| Gender | ||||||||||||
| Male | 16,513 | 154 | 0.9 | 16,359 | 99.1 | <0.001† | 437 | 2.6 | 16,075 | 97.4 | 0.02† | |
| Female | 15,719 | 253 | 1.6 | 15,467 | 98.4 | 484 | 3.1 | 15,236 | 96.9 | |||
| Age | ||||||||||||
| 20–29 | 4233 | 36 | 0.9 | 4197 | 99.1 | <0.001† | 113 | 2.7 | 4119 | 97.3 | <0.001† | |
| 30–39 | 8463 | 92 | 1.1 | 8371 | 98.9 | 183 | 2.2 | 8280 | 97.8 | |||
| 40–49 | 9406 | 119 | 1.3 | 9287 | 98.7 | 307 | 3.3 | 9099 | 96.7 | |||
| 50–59 | 6456 | 85 | 1.3 | 6371 | 98.7 | 172 | 2.8 | 6274 | 97.2 | |||
| ≥ 60 | 3674 | 75 | 2.0 | 3599 | 98.0 | 136 | 3.7 | 3538 | 96.3 | |||
| Education | ||||||||||||
| Middle school or below | 3654 | 70 | 1.9 | 3584 | 98.1 | <0.001† | 123 | 3.4 | 3530 | 96.6 | 0.03† | |
| High school | 11,753 | 155 | 1.3 | 11,598 | 98.7 | 351 | 3.0 | 11,402 | 97.0 | |||
| University or above | 16,825 | 181 | 1.1 | 16,644 | 98.9 | 447 | 2.7 | 16,379 | 97.3 | |||
| Occupation type | ||||||||||||
| Management/professional | 3457 | 36 | 0.1 | 3421 | 99 | <0.001† | 92 | 2.6 | 3365 | 97.4 | 0.039† | |
| Office work | 9198 | 104 | 1.1 | 9094 | 98.9 | 242 | 2.6 | 8957 | 97.4 | |||
| Technical | 6797 | 67 | 1.0 | 6730 | 99.0 | 178 | 2.6 | 6619 | 97.4 | |||
| Service/sales | 7873 | 109 | 1.4 | 7764 | 98.6 | 245 | 3.1 | 7628 | 96.9 | |||
| Simple labor | 4907 | 91 | 1.9 | 4816 | 98.1 | 165 | 3.4 | 4741 | 96.6 | |||
| Employment status | ||||||||||||
| Regular work | 24,509 | 284 | 1.2 | 24,225 | 98.8 | 0.003† | 708 | 2.9 | 23,801 | 97.1 | 0.601 | |
| Temporary worker | 7723 | 123 | 1.6 | 7600 | 98.4 | 214 | 2.8 | 7509 | 97.2 | |||
| Working hours (/week) | ||||||||||||
| < 40 | 17,040 | 191 | 1.1 | 16,849 | 98.9 | 0.065 | 403 | 2.4 | 16,638 | 97.6 | <0.001† | |
| 40–59 | 9406 | 131 | 1.4 | 9275 | 98.6 | 296 | 3.1 | 9110 | 96.9 | |||
| ≥ 60 | 5786 | 84 | 1.5 | 5702 | 98.5 | 223 | 3.9 | 5562 | 96.1 | |||
| Number of employees | ||||||||||||
| < 50 | 23,486 | 297 | 1.3 | 23,189 | 98.7 | 0.848 | 626 | 2.7 | 22,860 | 97.3 | 0.002† | |
| 50–299 | 6168 | 81 | 1.3 | 6087 | 98.7 | 216 | 3.5 | 5952 | 96.5 | |||
| ≥ 300 | 2578 | 30 | 1.2 | 2548 | 98.8 | 80 | 3.1 | 2498 | 96.9 | |||
| Shift work | ||||||||||||
| No | 29,049 | 360 | 1.2 | 28,689 | 98.8 | 0.322 | 771 | 2.7 | 28,279 | 97.3 | <0.001† | |
| Yes | 3183 | 47 | 1.4 | 3136 | 98.6 | 151 | 4.7 | 3031 | 95.3 | |||
| Income(10,000/month) | ||||||||||||
| < 130 | 6809 | 120 | 1.8 | 6689 | 98.2 | <0.001† | 218 | 3.2 | 6592 | 96.8 | 0.078 | |
| 130–199 | 8211 | 120 | 1.5 | 8091 | 98.5 | 237 | 2.9 | 7974 | 97.1 | |||
| 200–299 | 9308 | 86 | 0.9 | 9222 | 99.1 | 235 | 2.5 | 9073 | 97.5 | |||
| ≥ 300 | 7904 | 81 | 1.0 | 7823 | 99.0 | 232 | 2.9 | 7671 | 97.1 | |||
| Enough time after work | ||||||||||||
| No | 7885 | 166 | 2.1 | 7719 | 97.9 | <0.001† | 380 | 4.8 | 7505 | 95.2 | <0.001† | |
| Yes | 24,347 | 241 | 1.0 | 24,106 | 99.0 | 542 | 2.2 | 23,805 | 97.8 | |||
| Depression/anxiety disorder | Sleep disorder | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Total (n = 32,232) | Yes | No | P-valuea | Yes | No | P-valuea | |||||
| N | (%) | N | (%) | N | (%) | N | (%) | ||||
| Volunteering | |||||||||||
| No | 27,828 | 341 | (1.2) | 27,487 | (98.8) | 0.126 | 747 | (2.7) | 27,080 | (97.3) | <0.001† |
| Yes | 4404 | 66 | (1.5) | 4338 | (98.5) | 174 | (4.0) | 4231 | (96.0) | ||
| Self-development | |||||||||||
| No | 20,529 | 270 | (1.3) | 20,259 | (98.7) | 0.236 | 547 | (2.7) | 19,982 | (97.3) | 0.006† |
| Yes | 11,703 | 136 | (1.2) | 11,566 | (98.8) | 374 | (3.2) | 11,329 | (96.8) | ||
| Leisure time activity | |||||||||||
| No | 10,382 | 162 | (1.6) | 10,220 | (98.4) | 0.001† | 289 | (2.8) | 10,092 | (97.2) | 0.585 |
| Yes | 21,850 | 244 | (1.1) | 21,606 | (98.9) | 632 | (2.9) | 21,218 | (97.1) | ||
| Gardening | |||||||||||
| No | 23,015 | 313 | (1.4) | 22,707 | (98.6) | 0.013† | 667 | (2.9) | 22,348 | (97.1) | 0.488 |
| Yes | 9217 | 94 | (1.0) | 9123 | (99.0) | 254 | (2.8) | 8963 | (97.2) | ||
| Depression/anxiety disorder(N) | Unadjusted | Adjusteda | ||||
|---|---|---|---|---|---|---|
| Yes | No | OR | 95% CI | OR | 95% CI | |
| Volunteering | 66 | 4338 | 1.23 | 0.94–1.60 | 1.35 | 1.03–1.78 |
| (Ref: No) | 341 | 27,487 | ||||
| Self-development | 136 | 11,566 | 0.89 | 0.71–1.09 | 1.07 | 0.85–1.35 |
| (Ref: No) | 244 | 20,259 | ||||
| Leisure time activity | 244 | 21,606 | 0.71 | 0.58–0.87 | 0.82 | 0.66–1.02 |
| (Ref: No) | 162 | 10,220 | ||||
| Gardening | 94 | 9123 | 0.74 | 0.59–0.93 | 0.74 | 0.59–0.94 |
| (Ref: No) | 313 | 22,707 | ||||
| Sleep disorders(N) | Unadjusted | Adjusteda | ||||
|---|---|---|---|---|---|---|
| Yes | No | OR | 95% CI | OR | 95% CI | |
| Volunteering | 174 | 4231 | 1.49 | 1.26–1.76 | 1.54 | 1.29–1.84 |
| (Ref: No) | 747 | 27,080 | ||||
| Self-development | 374 | 11,329 | 1.21 | 1.05–1.34 | 1.35 | 1.17–1.57 |
| (Ref: No) | 547 | 19,982 | ||||
| Leisure time activity | 632 | 21,218 | 1.04 | 0.90–1.20 | 1.12 | 0.96–1.29 |
| (Ref: No) | 289 | 10,092 | ||||
| Gardening | 254 | 8963 | 0.95 | 0.82–1.10 | 0.94 | 0.81–1.09 |
| (Ref: No) | 667 | 22,348 | ||||
Table 1 Number of workers with sleep disorders and depressive/anxiety disorders by general and occupational characteristics
aCalculated using chi-square test
†
Table 2 Distribution of sleep disorders and depression/anxiety disorders by non-occupational behavior
aCalculated using chi-square test
†
Table 3 Odds ratios of variables associated with depression/anxiety disorders
Calculated using multiple logistic regression analysis
aAdjusted for age, sex, education, employment status, number of employees, working hours, shift work, monthly income, and enough time after work
Table 4 Odds ratios of variables associated with sleep disorders
Calculated using multiple logistic regression analysis
aAdjusted for age, sex, education, employment status, number of employees, working hours, shift work, monthly income, and enough time after work
