KSOEM
Articles
- Page Path
- HOME > Ann Occup Environ Med > Volume 29; 2017 > Article
- Research Article Association between working time quality and self-perceived health: analysis of the 3rd Korean working conditions survey (2011)
- Jaeyoup Jung, Gyuree Kim, Kyusung Kim, Domyung Paek, Sung-il Cho
-
Annals of Occupational and Environmental Medicine 2017;29:55.
DOI: https://doi.org/10.1186/s40557-017-0211-y
Published online: November 13, 2017
Department of Occupational and Environmental Medicine, Graduate, School of Public Health, Seoul National University, Gwanak-ro 1, Gwanak-gu, Seoul, 151-600 Republic of Korea JFIF d d Ducky d qhttp://ns.adobe.com/xap/1.0/ |er˭|I|-fGK.rΛp8XV1%K6mvG+tc+qE &ǸC_Nm:l=_/m5^[dߌڇ.c<%:)tQ$Ow~-aY;UJ >=F)2[nk؆?훐 M=l6[4(O.]2#-H^n#->&mp5~Fӛ+|| S,xag% qkEUzUgæBhߕP(7]kFnq?֖Cpru Z6*rEڊtS|*tI*E}7R<,nUU֫^I7Q*mSly%rdȓd8hE<9oHhMfNSRj[i7D[Rj݊+kდq{"$$H?p \̅S?㭻;t~ R߁ )^/>Qj`yt[w ԛ;² ~+ ߔ_ YW~|o] ?x^ᯛ `ʼn;g)T@vWn]>&4l p+$D̢1l|ȨF%-} .9[}w~
ԠLM9hСablfe&QoW !s ?wjLK?s7yO>(=C~_nyǜu? v 3vyo oI@qV-jeES^[9WoSܝh"l2C1a͔CiJ@3:Pճw= /7ovuk+\V;lDgն <[A+r X~d;m!_s8ݖ;;.0llUC+?i#_crʙ1~C.\q u l8Hܶ2m`ܻM3Tov|Bs rɵ"oLS-
DКw=Tv@f '6|YlD͓Y%-#Ѯo%:&!3o%\J<02;K87>^vgƓ# ;ݝmz^Y6=PS39U%~
&f#
}o!muH; ʲŇ˷yvP+&.7e[3'vR4Yj̗IZ`e˽3o[WU{
m[sUbۋZǾۆl6~9'V*.\S2<Sd*zY[aŶ`]C$n.v^Ʌ
dng>ەZ,Mmϑ :n6nϦezW qUJ4! ۇ4R! =>>F n|Q[{pRO 17ƕ~._I ''00k=b՛o}Osðc2'o\3}ݭQ^ 2 . R1yKȣtAݿ-u ܾw!`?1Whn|gzU o[ECWwjUIן)^h#1ɭ!/Z
np;o;ΗŻkXs."6E`Z1
עӐ9Kl8qd q} 2Stt;#j>;խabONŗ=fwP1j)l6J̶|gV 2`y/0E˛6+ԫ1?
6}KW c\KoKͨ2ۅFws*TԞLיuDx .kCzWXhy۶gLu|%TnupǺl-S* P RaLnT+c+*xl.v!.U=|; !_L̎뱚U=4hm:ٯ"y)$:>%(n}X'p[ȴ
^˒4kƓmzDx
\
'Nq amP7nyN݅=
• Received: April 19, 2017 • Accepted: November 6, 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
-
Background Self-perceived health, a subjective assessment of one’s health condition, is an important health indicator at the level of quality of life. In this study, working time quality refer to job factors with qualitative aspects of working time. This study was conducted to investigate the association between working time quality and self-perceived health in paid workers in Korea.
-
Methods In this study, 35,902 paid workers were analyzed based on the 3rd Korean working conditions survey. For independent variables, working time quality (working at night, working in the evenings, working on Sundays, working on Saturdays, and working more than 10 h a day) were set as major job-related variables. Other occupational characteristics were divided into 6 groups and general characteristics were divided into 6 groups, and univariate analysis was conducted with self-perceived health, a dependent variable. Variables that had significance in the univariate analysis were used for multivariate logistic regression analysis.
-
Results In the univariate analysis using Chi-square test, variables showing significance in self-perceived health were age, income, education, occupation, employment type, work hours per week, and shift work. Working time quality showed a significant association with self-perceived health. After adjusting for these variables using logistic regression analysis, working at night, working in the evening, working on Sundays, and working more than 10 h a day showed significant association with self-perceived health.
-
Conclusions This study showed a statistically significant association between working time quality of employees with self-perceived health.
Background
Health is a state of complete physical, mental and social well-being and not merely the absence of disease or infirmity [1]. Health is a resource for everyday life, not the objective of living. It is a positive concept emphasizing social and personal resources, as well as physical capacities [2].
Self-perceived health is a subjective assessment of one’s health which comprehensively reflects the individual’s overall health condition and sense of one’s health [3]. It is a health index that can be easily measured at a low cost [4, 5]. The reason why subjective assessment of one’s health is so important is because the level of an individual’s well-being not only affects the desire to live and quality of life but also has a strong association with morbidity and mortality [6].
If workers’ health is viewed from the perspective of physical aspects only, it will fail to capture the fundamental meaning of health set out above. Therefore, when assessing the health condition of workers affected by different job-related factors, the view needs to be extended to qualitative aspects, in addition to quantitative aspects. Self-perceived health is an often used index to represent general health status [7] that is known to predict future mortality [8, 9].
According to the current literature, the factors influencing self-perceived health are age, low socioeconomic status, education level, depression, social support, smoking, drinking, quality of sleep, and chronic disease [10]. Studies examining numerous variables related to self-perceived health have been conducted in Korea [11–14], and these variables have been studied from an occupational perspective.
Studies with an occupational perspective have examined the effects of different factors, including shift work [15], employment type [16], job satisfaction [17], and the number of work hours [18] on self-perceived health. What is different from the existing research is that we approached the qualitative aspect of time in the analysis of working time. Escaping from the normal pattern of work hours can be comprehended by the presence of shift work or the number of work hours as in previous studies. However, considering the concept of health in this study, different factors such as late work hours, working on weekends, and working long hours a day will affect the ‘health at the level of quality of life’ from the perspective of workers’ subjective standard of living. Therefore, the purpose of this study is to find out whether the qualitative factor of time in working hours is related to self-perceived health.
In this study, Working time quality refer to job factors with qualitative aspects of working time and the following characteristics were selected for this study: working at night, working in the evenings, working on Sundays, working on Saturdays, and working more than 10 h a day. This study was conducted to investigate the association between working time quality and self-perceived health in paid workers in Korea.
Methods
This study used data from the Korean Working Conditions Survey (KWCS), which was conducted in 2011 by the Occupational Safety and Health Research Institute (OSHRI) of the Korea Occupational Safety and Health Agency (KOSHA). The KWCS examined overall conditions of employment (form of labor, form of employment, occupation, industry, exposure to risk factors, and stability) in 8 economically active population aged ≥15 years in Korea. The KWCS selected households from the 2005 Population and Housing Census; individuals who met criteria for the definition of “economically active population” underwent one-on-one interviews conducted by a professional interviewer at their home. Statistics Korea accredited the reliability of KWCS in order to increase the usage of the data it collected: the survey’s response rate was 0.354, the cooperation rate was 0.662, and the refusal rate was 0.180 [19]. The final sample size was 50,032 individuals; of these, 35,902 were employed workers receiving wages. These individuals were finally selected for examination in the present study after excluding non-wage workers, such as self-employed persons without employees or self-employed persons with employees. Weighted statistical analysis was performed to prevent bias and holistically represent working conditions in Korea.
Independent variables
General characteristics
Following the KWCS, factors relating to general employee characteristics (sex, age, income, education, alcohol, and smoking) were classified as independent variables. Each variable was defined on the basis of the survey contents. Participants were divided into the following 5 age groups: 15–29, 30–39, 40–49, 50–59, and ≥60 years. Monthly income was categorized into the following 4 groups: ≤990,000 Korean won, 1,000,000–1,990,000 won, 2,000,000–2,990,000 won, and ≥3,000,000 won. Education was categorized into the following 3 groups: middle school completion or less, high school completion, and college completion or above. Alcohol consumption was categorized as follows: none, one drink per week or less, and two or more drinks per week. Smoking status was categorized as follows: non-smoker, ex-smoker, and current-smoker.
Occupational characteristics
Following the KWCS, factors reflecting occupational characteristics were classified as occupational independent variables (occupation, employment type, work hours per week, tenure, shift work, and workplace scale). Variables were defined according to the KWCS contents. Occupations were categorized into the following 3 groups: white-collar workers (professional and technical occupations, higher administrator occupations, clerical occupations), services, sales workers (service occupations, sales occupations,), and blue-collar workers (skilled, semi-skilled, unskilled and agriculture, forestry, and fishery). Employment type was categorized into either regular positions or temporary or part-time positions. Work hours per week were categorized into two groups with 45 h(median) per week as the cut-off point. Tenure (number of years worked) was categorized into two groups with one year as the cut-off point. Workers were categorized as shift or non-shift workers. Those who answered ‘Yes’ to ‘I do shift work’ of the KWCS survey question ‘How is your work type?’ were classified as shift workers. This corresponds to the previously defined shift work with a narrow meaning. Workplace scale was categorized into the following 4 groups based on the number of workers employed: ≤99, 100–999, ≥1000 workers, and unknown.
Working time quality were set as major variables. Working time quality included working at night, working in the evening, working on Sundays, working on Saturdays, and working more than 10 h a day. Those who did not write 0 days in response to the KWCS question ‘When working for a minimum of 2 hours between 10 pm and 5 am is considered as working at night, how many days do you work at night?’ were considered as working at night. Those who did not write 0 day to the KWCS question ‘When working for a minimum of 2 hours between 6 pm and 10 pm is considered as working in the evening, how many days do you work in the evening?’ were considered as working in the evening. Those who did not write 0 days in response to the KWCS question ‘How many Sundays did you work in the past month?’ were considered as working on Sundays. Those who did not write 0 days in response to the KWCS question ‘How many Saturdays did you work in the past month?’ were considered as working on Saturdays. Those who did not write 0 days in response to the KWCS question ‘How many days did you work for longer than 10 hours in the past month?’ were considered as working more than 10 h a day.
Dependent variables
For self-perceived health, those who answered ‘Very good’ and ‘Good’ to the KWCS question ‘How is your overall health?’ were considered as having good self-perceived health.
Statistical analysis
To compare the variables and the characteristics of the groups with good and poor self-perceived health, univariate analysis using the Chi-square test was performed (Table 1).
Table 1
General characteristics and occupational characteristics of study subjects by self-perceived health
The variables showing significance in the univariate analysis were used in the multivariate logistic regression analysis to examine the association between working time quality and self-perceived health (Table 2).
Table 2
Odds ratio of selected variables and self-perceived health
Statistical significance was set at p < 0.05 and SPSS v.23.0 was used for all statistical analyses.
Results
The variables showing significance for self-perceived health in univariate analysis using the Chi-square test were age, income, education, occupation, employment type, work hours per week, and shift work. And working time quality showed a significant association with self-perceived health (working at night, working in the evening, working on Sundays, working on Saturdays, and working more than 10 h a day). Sex, alcohol, smoking, tenure, and workplace scale did not show statistical significance (Table 1).
Multivariate logistic regression analysis was conducted, with adjustments for age, income, education, occupation, employment type, work hours per week, and shift work, which showed statistical significance from Chi-square test. Sex was not statistically significant in chi-square test but included in covariates because it is a very important factor in self-perceived health [11–14]. After adjusting these variables for logistic regression analysis, working at night, working in the evening, working on Sundays, and working more than 10 h a day showed significant association with self-perceived health (Table 2). Working on Saturdays was eliminated in the backward stepwise selection process.
Discussion
This study was conducted to examine the association between working time quality and self-perceived health. A novel finding of our study is that the working time quality (working at night, working in the evening, working on Sundays, and working more than 10 h a day) were significantly associated with self-perceived health.
Among previous studies on work hours, one study [18] was similar to ours, covering work hours and self-perceived health. However, our study focused on the quality of working time and not the number of work hours. When this phenomenon was viewed from the number of work hours in previous studies, working short and late hours without daytime work and working short hours on weekends after a break during weekdays cause no issue from the quantitative perspective of work hours, but is a problem from our study perspective. Although these cases have a short working hours, working at late hours and working on weekends themselves can affect ‘health at the level of quality of life’. Therefore, to accurately consider these circumstances, classifying the time of work according to working time quality will be appropriate for our study objective, as it allows a more detailed observation of this phenomenon from the perspective of ‘health’ as set out in background.
It is important to review previous findings in order to understand the association between other variables and self-perceived health. In this study, the variables showing statistical significance with self-perceived health in multivariate logistic regression analysis, after adjusting for the general characteristics, were age, occupation, employment type, work hours per week. As age increased, the odds ratio(OR) of having poor self-perceived health also increased. This is consistent with a previous study showing that good self-perceived health was associated with young age [14]. In occupation, blue collar had higher odds ratio of having poor self-perceived health than white collar, which is consistent with previous studies reporting that manual workers had poor self-assessed health compared to non-manual workers [16]. In terms of employment type, temporary workers and day-to-day workers had higher odds ratio of having poor self-perceived health than full-time workers, which is consistent with previous studies reporting that temporary/day-to-day and non-regular workers had poor self-assessed health compared to full-time workers [16]. This reflects earlier findings on the existence of inequality among workers, with non-regular workers reporting poor subjective health compared to full-time workers [20]. Work hours per week were categorized into two groups with 45 h per week as the cut-off point. Because this study focuses on the working time quality rather than the number of working hours, it is simply divided on the basis of median. With regards to weekly work hours, the group working for over 45 h had a higher odds ratio of having poor self-perceived health than the group working for less than 45 h, which is consistent with the previous reports that poor self-assessed health is associated with longer work hours [18].
Male, high income, high education level showed a protective effect on self-perceived health and this tendency is consistent with previous findings related to self-rated health [16]. But shiftwork also showed protective effect on self-perceived health, and it doesn’t in line with the finding that late work and night work affect self-rated health. To explain the reason for this result, it is important to review the concept of shift work.
There are various definitions of shift work, but it is likely that the collective elements in a collectively used definition can be divided into narrow and broad meaning [21]. The narrow meaning of shift work refers to an arrangement of work hours involving different employees or teams working continuously in a shift in order to increase the overall corporation work hours [15, 21, 22]. This meaning is comparable to the International Labor Organization (ILO) definition of shift work as “a method of organization of working time in which workers succeed one another at the workplace so that the establishment can operate longer than the hours of work of individual workers” [23]. According to the definition by the International Agency for Research on Cancer (IARC), the broad meaning of shift work refers to a different distribution of work hours that are not fixed according to the traditional weekly working pattern (06/07 am to 05/06 pm). It is the overall type of work hours that are special, variable, flexible, and nonstandard [24]. Accordingly, shift work refers to all types of work outside of usual weekly work hours and includes shift work with a narrow meaning as well as work undertaken at night or dawn, regardless of shift patterns [15, 22, 25]. Therefore, most schedules that do not fit the normal pattern, such as night shifts, fixed shifts, and rotation shifts are included.
Employees provided the status of their shift work in the survey, according to the narrow meaning of shift work. Therefore, those who work consistently only at night or in the evening were classified as non-shift workers. If night work is a major cause of the health effects of shift work, this measurement bias may have underestimated the impact of shift work [15, 21]. And because there is no information on past shift work records in this study, measurement bias can also occur [15, 21]. It is possible that the ‘healthy worker effect’ is more likely to occur in a situation where 2 group 2 shifts, which are longer in working hours and relatively inadequate than 3 shifts, are more common in Korea [15]. It should also be considered that a person who was unhealthy from the beginning could not apply for shift work. And once a person starts working, the unhealthy person is likely to leave the job [21]. For those with relatively short working periods, the unhealthy effects of shifts have not yet been expressed, so it may be possible to underestimate the results by grouping the entire shift work group without considering the working period [15]. For these reasons, we thought it would be a more appropriate model to look at qualitative aspects of working time than shift work, in examining associations with self-perceived health.
After adjusting for other variables in this study, working time quality of the employees (working at night OR 1.27, working in the evening OR 1.15, working on Sundays OR 1.13, and working more than 10 h a day OR 1.11) and self-perceived health showed a statistically significant association. Working on Saturdays (step1, OR 1.02, 95% CI 0.962~1.084) was eliminated in the backward stepwise selection process. To rule out the possibility of multicollinearity, we assessed the variance inflation factor (VIF), which is an index measuring how much the variance of an estimated regression coefficient increases because of collinearity. All the variables in our analyses showed adequate VIF values, since they were smaller than 1.9.
According to the definition of self-perceived health previously described, we need to consider the following two cases. First, working late hours, working on weekends, and working more than 10 h a day negatively affect physical health and self-awareness of physical health. Second, psychosocial effects, rather than physical problems, generate negative perception.
It is likely that the reason for which physical health actually degenerates is due to the effects of working at night. Working at night not only induces sleep disorders [26] but also increases the risk of cardiovascular disease [27], and is also associated with breast cancer [28] and colorectal cancer [29]. Because working at night causes chronic insomnia and extreme sleepiness by inducing sleep disorder [26], individuals may subjectively hold a negative view of their health. Furthermore, the biological mechanism underlying cardiovascular disease is the disturbance of the circadian rhythm (24-h cycle) resulting in changes such as the activation of the sympathetic nervous system, activation of hypothalamus-pituitary gland-adrenal cortex functions, inflammation, blood coagulation, and blood pressure increase [27]. Overtime is also associated with a variety of physical problems such as cardiovascular disease, musculoskeletal disorders, diabetes mellitus, and premature birth [30]. One may recognize an imbalance of the body and feel that he/she is in poor health.
Next, the reason why individuals may develop negative perceptions from psychosocial aspects rather than physical problems can be affected by working at night, working in the evening, working on Sundays, and working more than 10 h a day. These factors can lead to social barrier because the workers lose the opportunity to communicate with others, their ability to converse deteriorates, and they may experience serious problems in their social life, due to the conflict with personal time [31]. In addition, the more individuals work at night and on weekends, the higher the chance of experiencing depression symptoms [32]. Working at night and overtime induces job stress as well as depression [30, 33], and this can develop into a negative perception of one’s physical health. In the analysis of the association between working on weekends and psychosocial well-being using the World Health Organization (WHO) well-being index, the risk was significantly higher in the group working on weekends than in the group that did not [34]. Therefore, psychosocial aspects can cause a negative perception for self-perceived health. Furthermore, when the negative perception induces stress and depression and results in physical problems, it will aggravate physical health, which, in turn, negatively affects self-perceived health.
As self-perceived health is an index integrating physical factors and emotional factors, including satisfaction with life [11], it is likely that working at night, working in the evenings, and working on Sundays result in poor self-perceived health. In particular, working at night can have considerable physical and psychosocial effects, therefore, it is likely to result in a high odds ratio compared to working in the evening or working on Sundays.
However, working at night, working in the evenings, working on Sundays, and working more than 10 h a day cannot be banned in reality, therefore, the work must be properly allocated and the working schedule should be adjusted so that work conditions are not constant for certain individuals. Furthermore, the scope of accidents caused by related health effects that are recognized as industrial accidents should be expanded.
Our study has the following limitations. As it is a cross-sectional study based on a questionnaire, the explanatory power for cause-and-effect relationship is limited. Furthermore, the 2011 working conditions survey was used instead of a customized questionnaire for our study. The answers ‘very good’ and ‘good’ to the questions on self-perceived health were considered as having good self-perceived health and the remaining answers were considered as meaning poor self-perceived health. Therefore, the middle ground between good and poor is ambiguous. For designing a model for working time related factors associated with self-perceived health, studies need to be expanded both qualitatively and quantitatively.
Conclusions
This study showed a statistically significant association between working time quality of employees with self-perceived health. The fact that working at late hours, working on Sundays, overtime, which lowers employee quality of life, is related to self-perceived health needs to be recognized and efforts should be made to improve these working conditions.
I would like to thank the Safety and Health Policy Research Department of OSHRI (Occupational Safety and Health Research Institute) for making available the raw-data of the KWCS (Korean Working Conditions Survey). The paper’s contents are solely the responsibility of the author and do not necessarily represent the official views of the OSHRI.
Not applicable.
Related information for raw data of 3rd KWCS is available at http://www.kosha.or.kr/.
Abbreviations
CI
Confidence Interval
IARC
International Agency for Research on Cancer
ILO
International Labor Organization
KOSHA
Korea Occupational Safety and Health Agency
KWCS
Korean Working Conditions Survey
OR
Odds ratio
OSHRI
Occupational Safety and Health Research Institute
VIF
Variance inflation factor
WHO
World Health Organization
- 1. http://www.who.int/about/mission/en/.
- 2. http://www.who.int/healthpromotion/conferences/previous/ottawa/en/.
- 3. Bailis DS, Segall A, Chipperfield JG. Two views of self-rated general health status. Soc Sci Med 2003;56:203–217. 10.1016/S0277-9536(02)00020-5. 12473308.ArticlePubMed
- 4. Al-Mandhari A, Al-Zakwani IS, Al-Hasni A, Al-Sumri N. Assessment of perceived health status in hypertensive and diabetes mellitus patients at primary health centers in oman. Int J Prev Med 2011;2:256–263. 22174966.PubMedPMC
- 5. Kaleta D, Polanska K, Dziankowska-Zaborszczyk E, Hanke W, Drygas W. Factors influencing self-perception of health status. Cent Eur J Public Health 2009;17:122–127. 20020600.ArticlePubMed
- 6.
- 7. Murray J, Dunn G, Tarnopolsky A. Self-assessment of health: an exploration of the effects of physical and psychological symptoms. Psychol Med 1982;12:371–378. 10.1017/S0033291700046705. 7100359.ArticlePubMed
- 8. Idler EL, Benyamini Y. Self-rated health and mortality: a review of twenty-seven community studies. J Health Soc Behav 1997;38:21–37. 10.2307/2955359. 9097506.ArticlePubMed
- 9. Kyffin RG, Goldacre MJ, Gill M. Mortality rates and self reported health: database analysis by English local authority area. BMJ 2004;329:887–888. 10.1136/bmj.38238.508021.F7. 15447954.ArticlePubMedPMC
- 10. Kyung WC. Factors related to self-rated health in adolescents: findings form the Korea youth panel survey. Korean J Health Educ Promot 2014;31:39–50. 10.14367/kjhep.2014.31.3.39.Article
- 11.
- 12. Jong Seung Kim BC. Association between self-perceived health status and health related behavior in routine health examinees. Korean J Fam Med 2010;31:688–696. 10.4082/kjfm.2010.31.9.688.Article
- 13. Jung Y, Cho Y, Oh J. Differential effects of family income on self-rated health by age: analysis of Seoul citizens health indicators survey 2001, 2005. J Prev Med Public Health 2007;40:381–387. 10.3961/jpmph.2007.40.5.381. 17917486.ArticlePubMed
- 14. Byung Chul A, Hyojee J. Self-rated health and its indicators. J Community Nut 2006;8:38–43. 10.1109/JCN.2006.6182904.
- 15. Daehee N, Jong Ho W, Hyunrim C, Sinye L, Keunwhoe K, Chang Won W, et al. The effect of shift work on the level of self-rated health. Ann Occup Environ Med. 2010;22:200–209.ArticlePDF
- 16. Keunwhoe K, Hun-Jong C, Sounghoon C, Hyeongsu K, Daehee N, Kyunghee J-C. Self-rated health level comparisons by the criteria of precarious employment status: the Korean labor and income survey. Ann Occup Environ Med. 2010;22:240–250.ArticlePDF
- 17. Jinsook K. Relationship between job satisfaction and self-rated health status among salaried Workers in Korea. Q J Labor Policy 2007;7:143–164.
- 18. Jun-Taek S, Goeun L, Jongho K, Jung-Woo P, Hyunrim C, Sinye L. The association between long working hours and self-rated health. Ann Occup Environ Med. 2014;26:12–23. 10.1186/2052-4374-26-12. 24955246.PubMedPMC
- 19. Institute OSaHR. Guidelines of the use of the KWCS raw data. 2014.
- 20. Jin-Young K, In-Sook L, Yea-Li AS, Sinn-Won H. The disparities in subjective health by employment form and gender: focusing on the interaction effects with health resources. Korea Journal of Population Studies 2012;35:181–209.
- 21. Knutsson A. Methodological aspects of shift-work research. Chronobiol Int 2004;21:1037–1047. 10.1081/CBI-200038525. 15646248.ArticlePubMed
- 22. Costa G. Shift work and occupational medicine: an overview. Occup Med (Lond) 2003;53:83–88. 10.1093/occmed/kqg045. 12637591.ArticlePubMed
- 23. http://www.ilo.org/wcmsp5/groups/public/---ed_protect/---protrav/---travail/documents/publication/wcms_170713.pdf.
- 24. IARC. Painting, firefighting, and shiftwork. IARC Monogr Eval Carcinog Risks Hum 2010;98:9–784. 21381544.PubMedPMC
- 25.
- 26. Drake CL, Roehrs T, Richardson G, Walsh JK, Roth T. Shift work sleep disorder: prevalence and consequences beyond that of symptomatic day workers. Sleep 2004;27:1453–1462. 10.1093/sleep/27.8.1453. 15683134.ArticlePubMed
- 27. Boggild H, Knutsson A. Shift work, risk factors and cardiovascular disease. Scand J Work Environ Health 1999;25:85–99. 10.5271/sjweh.410. 10360463.ArticlePubMed
- 28. Megdal SP, Kroenke CH, Laden F, Pukkala E, Schernhammer ES. Night work and breast cancer risk: a systematic review and meta-analysis. Eur J Cancer 2005;41:2023–2032. 10.1016/j.ejca.2005.05.010. 16084719.ArticlePubMed
- 29.
- 30.
- 31. Kim D-H, Lee S-S. The analysis of influences that night work of Shiftworkers affect at sleep and social life. Korean J Resour Dev 2000;2:163–182.
- 32. Hyeon-Taek H, Dong-Won K, Jong-Seok L, Hyeon AJ, Seong-Sil J, Soo-Young K, et al. An association between working schedules and depression in public sector employees. Ann Occup Environ Med 2012;24:347–355.ArticlePDF
- 33. Chaebong K, Jesuk K. Effect of the health behaviors on subjective sleep problems in an employees. J Korea Contents Assoc 2015;15:337–345. 10.5392/JKCA.2015.15.06.337.Article
- 34.
REFERENCES
Notes
Figure & Data
REFERENCES
Citations
Citations to this article as recorded by 
- Calidad del empleo en la República de Corea. ¿Progreso o declive?
Sangwoo LEE, Francis GREEN
Revista Internacional del Trabajo.2025;[Epub] CrossRef - Job quality in the Republic of Korea: Progress or decline?
Sangwoo LEE, Francis GREEN
International Labour Review.2025;[Epub] CrossRef - Qualité de l’emploi en République de Corée: amélioration ou détérioration?
Sangwoo LEE, Francis GREEN
Revue internationale du travail.2025;[Epub] CrossRef - Association between sanitary toilets and health poverty vulnerability among rural western Chinese adults aged 45 years and older: A cross-sectional study
Ximin Ma, Qi Hu, Jiahui He, Chunsheng Li, Kexin Chen, Wenlong Wang, Hui Qiao, Alison Parker
PLOS ONE.2024; 19(9): e0308688. CrossRef - Examining the structural effect of working time on well-being: Evidence from Abu Dhabi
Masood Badri, Mugheer Al Khaili, Hamad Aldhaheri, Guang Yang, Muna Al Bahar, Asma Al Rashdi
Social Sciences & Humanities Open.2022; 6(1): 100317. CrossRef - The mediating role of unhealthy behavior in the relationship between shift work and perceived health
Karin I. Proper, Eva Jaarsma, Suzan J. W. Robroek, Jolinda L. D. Schram, Hendriek Boshuizen, H. Susan J. Picavet, W. M. Monique Verschuren, Sandra H. van Oostrom
BMC Public Health.2021;[Epub] CrossRef - Comparison of Job Quality Indices Affecting Work–Life Balance in South Korea According to Employee Gender
Seung-Hye Choi, Eun Young Choi, Haeyoung Lee
International Journal of Environmental Research and Public Health.2020; 17(13): 4819. CrossRef - Salaried Workers’ Self-Perceived Health and Psychosocial Risk in Guayaquil, Ecuador
Antonio Ramón Gómez-García, Cecilia Alexandra Portalanza-Chavarría, Christian Arturo Arias-Ulloa, César Eduardo Espinoza-Samaniego
International Journal of Environmental Research and Public Health.2020; 17(23): 9099. CrossRef - Impact of Self-Rated Health on Progression to a Metabolically Unhealthy Phenotype in Metabolically Healthy Obese and Non-Obese Individuals
Mi-Hyun Kim, Yoosoo Chang, Hyun-Suk Jung, Hocheol Shin, Seungho Ryu
Journal of Clinical Medicine.2019; 8(1): 34. CrossRef - Association of discrimination and presenteeism with cardiovascular disease: the Fourth Korean Working Conditions Survey
Kyusung Kim, Sung-il Cho, Domyung Paek
Annals of Occupational and Environmental Medicine.2019;[Epub] CrossRef
Cite
XML Download- Related articles
-
- Association between working ≥10 hours per day and satisfaction with work environment among wage workers in Korea: a cross-sectional study using data from the 7th Korean Working Conditions Survey
- Association between sudden work recall and psychological health issues: a cross-sectional analysis of the 6th Korean Working Conditions Survey
- Association between multiple jobs and physical and psychological symptoms among the Korean working population
- Association between single-person household wage workers in South Korea and insomnia symptoms: the 6th Korean Working Conditions Survey (KWCS)
Association between working time quality and self-perceived health: analysis of the 3rd Korean working conditions survey (2011)
Association between working time quality and self-perceived health: analysis of the 3rd Korean working conditions survey (2011)
| Characteristics | N | Percent | Self-perceived health | p-value | |
|---|---|---|---|---|---|
| Good (%) | Bad (%) | ||||
| Sex | 0.142 | ||||
| Male | 21,286 | 59.3 | 15,202(71.4) | 6084(28.6) | |
| Female | 14,616 | 40.7 | 10,334(70.7) | 4282(29.3) | |
| Age (year) | <0.001 | ||||
| 15-29 | 5588 | 15.6 | 4529(81.0) | 1059(19.0) | |
| 30-39 | 10,971 | 30.6 | 8370(76.3) | 2601(23.7) | |
| 40-49 | 10,488 | 29.2 | 7439(70.9) | 3049(29.1) | |
| 50-59 | 6059 | 16.9 | 3790(62.6) | 2269(37.4) | |
| 60- | 2797 | 7.8 | 1408(50.3) | 1389(49.7) | |
| Income (won) | <0.001 | ||||
| -990,000 | 4150 | 11.6 | 2610(62.9) | 1540(37.1) | |
| 1,000,000-1,990,000 | 13,533 | 37.7 | 9455(69.9) | 4078(30.1) | |
| 2,000,000-2,990,000 | 10,085 | 28.1 | 7427(73.6) | 2658(26.4) | |
| 3,000,000- | 8134 | 22.7 | 6044(74.3) | 2090(25.7) | |
| Education | <0.001 | ||||
| Middle school graduation or less | 3894 | 10.8 | 1989(51.1) | 1905(48.9) | |
| High graduation | 13,155 | 36.6 | 9222(70.1) | 3933(29.9) | |
| University graduation or more | 18,853 | 52.5 | 14,325(76.0) | 4528(24.0) | |
| Alcohol | 0.249 | ||||
| No | 8215 | 22.9 | 5676(69.1) | 2539(30.9) | |
| ≤ Once per week | 18,231 | 50.8 | 13,232(72.6) | 4999(27.4) | |
| ≥ Twice per week | 9456 | 26.3 | 6628(70.1) | 2828(29.9) | |
| Smoking | 0.661 | ||||
| Non-smoker | 19,613 | 54.8 | 13,939(71.1) | 5674(28.9) | |
| Ex-smoker | 4037 | 11.2 | 2859(70.8) | 1178(29.2) | |
| Current-smoker | 12,252 | 34.1 | 8738(71.3) | 3514(28.7) | |
| Occupation | <0.001 | ||||
| White collar | 13,776 | 38.4 | 10,547(76.6) | 3229(23.4) | |
| Service, sales worker | 9846 | 27.4 | 7088(72.0) | 2758(28.0) | |
| Blue collar | 12,280 | 34.2 | 7902(64.3) | 4378(35.7) | |
| Employment type | <0.001 | ||||
| Regular | 28,542 | 79.5 | 21,002(73.6) | 7540(26.4) | |
| Temporary or part-time | 7360 | 20.5 | 4533(61.6) | 2827(38.4) | |
| Work hours per week (hours) | <0.001 | ||||
| ≤ 45 h | 16,173 | 45 | 12,089(74.7) | 4084(25.3) | |
| > 45 h | 19,729 | 55 | 13,447(68.2) | 6282(31.8) | |
| Tenure(years) | 0.247 | ||||
| ≥ 1 yr | 30,672 | 85.4 | 21,781(71.0) | 8891(29.0) | |
| < 1 yr | 5230 | 14.6 | 3755(71.8) | 1475(28.2) | |
| Shift work | 0.001 | ||||
| No | 32,533 | 90.6 | 23,225(71.4) | 9308(28.6) | |
| Yes | 3368 | 9.4 | 2310(68.6) | 1058(31.4) | |
| Workplace scale (person) | 0.342 | ||||
| ~99 | 29,253 | 81.5 | 20,708(70.8) | 8545(29.2) | |
| 100~999 | 4132 | 11.5 | 3084(74.6) | 1048(25.4) | |
| 999~ | 1353 | 3.8 | 1024(75.7) | 329(24.3) | |
| Unknown | 1163 | 3.2 | 719(61.8) | 444(38.2) | |
| Work at night | <0.001 | ||||
| No | 31,278 | 87.1 | 22,537(72.1) | 8741(27.9) | |
| Yes | 4624 | 12.9 | 2999(64.9) | 1625(35.1) | |
| Work in the evening | <0.001 | ||||
| No | 19,283 | 53.7 | 14,074(73.0) | 5209(27.0) | |
| Yes | 16,619 | 46.3 | 11,462(69.0) | 5157(31.0) | |
| Work on Sundays | <0.001 | ||||
| No | 28,035 | 78.1 | 20,336(72.5) | 7699(27.5) | |
| Yes | 7868 | 21.9 | 5200(66.1) | 2668(33.9) | |
| Work on Saturdays | <0.001 | ||||
| No | 15,074 | 42 | 11,205(74.3) | 3869(25.7) | |
| Yes | 20,827 | 58 | 14,330(68.8) | 6497(31.2) | |
| Working more than 10 h a day | <0.001 | ||||
| No | 21,035 | 58.6 | 15,494(73.7) | 5541(26.3) | |
| Yes | 14,867 | 41.4 | 10,042(67.5) | 4825(32.5) | |
| Total | 35,902 | 100.0 | 25,536(71.1) | 10,366(28.9) | |
| Variable | Adjusted | |
|---|---|---|
| OR | 95% CI | |
| Sex | ||
| Female | 1.00 | |
| Male | 0.88 | 0.83 ~ 0.93 |
| Age (year) | ||
| 15-29 | 1.00 | |
| 30-39 | 1.45 | 1.33 ~ 1.58 |
| 40-49 | 1.87 | 1.72 ~ 2.04 |
| 50-59 | 2.44 | 2.22 ~ 2.68 |
| 60- | 3.12 | 2.77 ~ 3.51 |
| Income (won) | ||
| -990,000 | 1.00 | |
| 1,000,000-1,990,000 | 0.97 | 0.89 ~ 1.06 |
| 2,000,000-2,990,000 | 0.91 | 0.82 ~ 1.00 |
| 3,000,000- | 0.88 | 0.79 ~ 0.98 |
| Education | ||
| Middle school graduation or less | 1.00 | |
| High graduation | 0.69 | 0.63 ~ 0.75 |
| University graduation or more | 0.69 | 0.62 ~ 0.76 |
| Occupation | ||
| White collar | 1.00 | |
| Service, sales worker | 0.96 | 0.90 ~ 1.03 |
| Blue collar | 1.11 | 1.04 ~ 1.20 |
| Employment type | ||
| Regular | 1.00 | |
| Temporary or part-time | 1.35 | 1.27 ~ 1.44 |
| Work hours per week (hours) | ||
| ≤ 45 h | 1.00 | |
| > 45 h | 1.33 | 1.25 ~ 1.40 |
| Shift work | ||
| No | 1.00 | |
| Yes | 0.73 | 0.67 ~ 0.81 |
| Work at night | ||
| No | 1.00 | |
| Yes | 1.27 | 1.17 ~ 1.38 |
| Work in the evening | ||
| No | 1.00 | |
| Yes | 1.15 | 1.08 ~ 1.23 |
| Work on Sundays | ||
| No | 1.00 | |
| Yes | 1.13 | 1.06 ~ 1.20 |
| Working more than 10 h a day | ||
| No | 1.00 | |
| Yes | 1.11 | 1.04 ~ 1.18 |
Table 1 General characteristics and occupational characteristics of study subjects by self-perceived health
Pearson’s chi-squared test
Table 2 Odds ratio of selected variables and self-perceived health
Odds ratios and 95% confidence intervals were estimated by a multiple logistic regression model including all the variables in the table
