The relationship between working condition factors and well-being

Lee, Bum-Joon; Park, Shin-Goo; Min, Kyoung-Bok; Min, Jin‐Young; Hwang, Sang Hee; Leem, Jong-Han; Kim, Hwan‐Cheol; Jeon, Sung-Hwan; Heo, Yong‐Seok; Moon, So-Hyun

doi:10.1186/s40557-014-0034-z

Cited by 22 publications

(19 citation statements)

References 30 publications

(28 reference statements)

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“…Our finding also suggests that subjects who were over 40 years old significantly tended to have a lower psychological well-being. This finding is consistent with a previous study that older subjects tended to have a lower well-being [ 36 ] but contradicts the findings that older individuals are happier with their lives than younger individuals [ 39 ]. In stratified by age, the unadjusted ORs of poor psychological well-being for all age group were significantly higher for SHS exposure group compared to reference group.…”

Section: Discussionsupporting

confidence: 89%

“…Previous studies drawn from the KCWS showed other results, suggesting that the well-being of all subjects yielded no differences between the genders [ 36 , 38 ]. But, we found that females tended to have a lower well-being than males.…”

Section: Discussionmentioning

confidence: 71%

“…We used several other covariates that were likely to be related with well-being globally or in Korea. Previously published reports that showed an association between workplace psychological factors and well-being or variables that could be potential confounders to well-being were also included in the analysis [ 36 , 37 ]. The following covariates related to socio-economic, structural factors, and health examination were considered: age, education levels, marital status, monthly income, balancing income and expenses, job type, employment status, employment stability, shift work, working hours, smoking area status, physical violence, discrimination, self-rated physical health, hypertension, and obesity.…”

Section: Methodsmentioning

confidence: 99%

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Association between second-hand smoke and psychological well-being amongst non-smoking wageworkers in Republic of Korea

Kim

Lamichhane

Park

et al. 2016

Ann of Occup and Environ Med

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BackgroundWorldwide, exposure to second-hand smoke (SHS) has been responsible for more than 0.6 million deaths and 10.9 million disability-adjusted life years (DALYS) lost in never smokers in 2004. The world health organization (WHO) reported smoking-related death of 58,000 per year in South Korea. There is recent emerging evidence of the associations of SHS exposure with anxiety or depression and poor mental health. Although exposure to second-hand smoke (SHS) has been associated with various physical health conditions and mental health, we are unaware of any studies examining its association with psychological well-being as mental factor. This study aimed to investigate the association between self-reported exposure to SHS and well-being among non-smoking wageworkers. MethodsThe Third Korean Working Conditions Survey (KWCS, 2011) was conducted on a representative sample of economically active population aged 15 years or over, who were either employees or self-employed at the time of interview. In this study, after removing inconsistent data, 19,879 non-smoking wageworkers among 60,054 workers were participated. Psychological well-being was measured through the WHO-Five Well-Being Index (1998 version). Univariate and multiple logistic regression models were used to examine the association of SHS exposure with psychological well-being.ResultsThe unadjusted OR of poor psychological well-being (OR: 1.594, 95 % CI: 1.421-1.787) was significantly higher for SHS exposure group compared to non-exposure group. Multiple logistic regression analysis results indicated that these relationships were still significant after adjusting for potential confounders (adjusted OR: 1.330, 95 % CI: 1.178-1.502).ConclusionsExposure to SHS was associated with poor well-being measured by the WHO-5 well-being index, indicating the importance of reducing SHS exposure at the workplace for psychological well-being amongst non-smoking wageworkers.

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Section: Discussionsupporting

confidence: 89%

Section: Discussionmentioning

confidence: 71%

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Association between second-hand smoke and psychological well-being amongst non-smoking wageworkers in Republic of Korea

Kim

Lamichhane

Park

et al. 2016

Ann of Occup and Environ Med

Self Cite

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“…This principle factor of working condition is extremely significant to improve the productivity and respect of the workers on construction sites. According to Lee et al [17], working conditions have a substantial influence on the workers' quality of life, and workers spend more than a half of their working hours at a project site. Therefore, the working conditions influence the life of the workers, this might be the reason why the respondents did not rate the scale of 1 (SD) in all the five factors.…”

Section: Results Analysis and Interpretationmentioning

confidence: 99%

Tension between Productivity and Respect for People in Construction

2020

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Productivity in the construction industry is declining in real-time. The decline in productivity is a source of worry for practitioners and researchers. The purpose of this paper is to ascertain major factors influencing productivity in relation to the notion of respects for people (RFP) in construction. The reviewed literature influences the semi-structured questionnaire used to survey construction professionals in Johannesburg, South Africa. The results reaffirm the tension productivity increment and the enhancement of RfP as both ideas appear to be moving in opposite directions on a typical construction site. It was discovered that respect for workers on a construction site is a major concern. The paper argues that ethical reasoning affects productivity. Therefore, an appropriate management system is required to improve the workers' perception of productivity and RfP working on construction sites.

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“…Working condition of equipment [28] is the condition in which the equipment works, including but not limited to such things as amenities, physical environment, stress and noise levels, degree of safety or danger, and the like. The working condition diagnosis usually uses specific models or variables for different applications.…”

Section: Working Condition Diagnosismentioning

confidence: 99%

Modeling the Process of Event Sequence Data Generated for Working Condition Diagnosis

Ding

Liu

Zhang

et al. 2015

Mathematical Problems in Engineering

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Condition monitoring systems are widely used to monitor the working condition of equipment, generating a vast amount and variety of telemetry data in the process. The main task of surveillance focuses on analyzing these routinely collected telemetry data to help analyze the working condition in the equipment. However, with the rapid increase in the volume of telemetry data, it is a nontrivial task to analyze all the telemetry data to understand the working condition of the equipment without any a priori knowledge. In this paper, we proposed a probabilistic generative model called working condition model (WCM), which is capable of simulating the process of event sequence data generated and depicting the working condition of equipment at runtime. With the help of WCM, we are able to analyze how the event sequence data behave in different working modes and meanwhile to detect the working mode of an event sequence (working condition diagnosis). Furthermore, we have applied WCM to illustrative applications like automated detection of an anomalous event sequence for the runtime of equipment. Our experimental results on the real data sets demonstrate the effectiveness of the model.

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The relationship between working condition factors and well-being

Cited by 22 publications

References 30 publications

Association between second-hand smoke and psychological well-being amongst non-smoking wageworkers in Republic of Korea

Association between second-hand smoke and psychological well-being amongst non-smoking wageworkers in Republic of Korea

Tension between Productivity and Respect for People in Construction

Modeling the Process of Event Sequence Data Generated for Working Condition Diagnosis

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