The effect of work-related and socio-demographic factors on Work Ability Index (WAI) among Iranian workers

Mokarami, Hamidreza; Kalteh, Haji Omid; Marioryad, Hossein

doi:10.3233/wor-193066

Cited by 21 publications

(14 citation statements)

References 20 publications

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“…Firstly, our results corroborate other studies that have shown women and older individuals to have worse work ability [15,21]. These findings are unsurprising given that females have been shown to have a lower WAI than males in other working contexts [40,41]. However, the present study also found variables to exist that mediated this association.…”

Section: Discussionsupporting

confidence: 91%

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Mediational Occupational Risk Factors Pertaining to Work Ability According to Age, Gender and Professional Job Type

Rodríguez

Knox

Hernández

et al. 2021

IJERPH

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The predictive value of work ability for several health and occupational outcomes is well known. Maintaining the ability to work of all employees has become an important topic in research although some evidence suggests that some groups of workers need greater attention than others. Healthcare workers (x¯ = 54.46 ± 5.64 years) attending routine occupational health checkups completed their work ability, occupational risk and sociodemographic measures. An analysis examined whether work ability differed according to gender, age and professional category. Mediation of these relationships by occupational risk variables, such as work–family conflict, was examined. Females and older adults had worse work ability than their counterparts. Professional group was not independently associated. Gender-related differences were mediated by current and historic ergonomic risk, psychosocial risk and work–family conflict. Age-related differences were mediated by violence/discrimination at work. All job risk variables, apart from current ergonomic risk, mediated associations between professional category and work ability. The present study identified the importance of risk variables for the work ability of health workers according to gender, age and professional job type. Perceptions of work–family conflict and violence–discrimination seem particularly important and should be considered when targeting improvements in work ability.

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Section: Discussionsupporting

confidence: 91%

“…Final scores range between 7 and 49, with higher values indicating better work ability. Respondents were grouped according to their scores: poor , moderate (28)(29)(30)(31)(32)(33)(34)(35)(36), good (37)(38)(39)(40)(41)(42)(43) and excellent work ability (44)(45)(46)(47)(48)(49).…”

Section: Methodsmentioning

confidence: 99%

Mediational Occupational Risk Factors Pertaining to Work Ability According to Age, Gender and Professional Job Type

Rodríguez

Knox

Hernández

et al. 2021

IJERPH

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“…Many non-job-related factors (demographics and lifestyle factors) have been shown to be associated with sleep disorders among healthcare workers [ 8 ]. However, there is a lack of consensus regarding the associations of some job-related factors and work schedule (eg, number of years of practice, total work time, work experience related to other infectious diseases, psychological stress regarding illness) with sleep disturbance [ [9] , [10] , [11] ]. Therefore, it is difficult for institutions to predict which members of their staff will experience sleep disorders.…”

Section: Introductionmentioning

confidence: 99%

Job-related factors associated with changes in sleep quality among healthcare workers screening for 2019 novel coronavirus infection: a longitudinal study

Zhao

Zhang

et al. 2020

Sleep Medicine

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Background Sleep disorders may exacerbate many physical and mental health conditions, causing difficulty function in a healthcare setting. Workers screening for the 2019 novel coronavirus (2019-nCoV) infection have a high risk of not only occupational exposure to the virus but also sleep disorders. However, the job-related factors associated with reduced sleep quality remain unclear. Methods All healthcare workers temporarily scheduled to screen the 2019-nCoV patients were asked to complete a self-administered questionnaire that included questions on demographics, job-related factors, and sleep quality as assessed using the Pittsburgh Sleep Quality Index (PSQI). Sleep quality was assessed over a one-month follow-up period. Results A total of 116 doctors and 99 nurses were recruited for this study. The total scheduled work time was 14.78 ± 6.69 days during follow-up. Some job-related factors, such as number of work days, years of work experience, and subjective psychological stress, were associated with changes in the PSQI score. During the study, some workers tried out cognitive behavioral therapy (CBT) for sleep disorders using methods that were available online and easily accessible. Adopting online CBT was shown to be associated with scores of components of sleep quality, sleep latency, and sleep disturbance (β = −0.152, P = 0.01; β = −0.175, P = 0.008; and β = −0.158, P = 0.011, respectively). Conclusions Healthcare workers involved in screening for 2019-nCoV experienced reduced sleep quality, and a reasonable work schedule may help with maintaining sleep quality. In addition, interventions for healthcare workers should target self-help sleep assistance.

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“…However, none of their determinants was similar to our variables. In another study, the authors evaluated the effect of work-related and sociodemographic factors on work ability among 167 employees of a company [22]. Their results showed that age, sex, smoking, regular exercise activity, and sleep quality were signi cantly associated with the WAI.…”

Section: Discussionmentioning

confidence: 99%

Work ability index and occupational Fatigue in the Workers of a Large Automotive company in Iran

Sharifian

Eftekhari

Aminian

et al. 2020

Preprint

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Background Work ability and occupational fatigue are two critical topics in occupational health. We aimed to assess fatigue and the work ability and find their association in the workers of a large Iranian car company. Methods In this cross-sectional study, we enrolled the workers of SAIPA Automotive Corporation between April and September 2019. We used the Work Ability Index and SOFI-20 questionnaires to assess the work ability and occupational fatigue in the study population, respectively. Then the correlation between work ability index and its association with fatigue dimensions and general study variables were tested. Results From a total of 400 workers, we analyzed the data of 376 workers (mean age = 37.1 ± 5.6 years). The mean WAI was 38.01 ± 7.46. Workers with regular exercise training had higher WAI (P < 0.001). Workers in the press shop had a higher WAI as compared with those who worked in the painting shop or trim shop (P < 0.001). The work ability index had a moderate indirect correlation with all of the fatigue dimensions. There was a significant association between the work stations (P = 0.002) and WAI. As regards the fatigue dimensions, higher physical discomfort, lack of motivation and sleepiness were associated with a lower WAI (P = 0.048, P = 0.012 and P < 0.001 respectively). Conclusion In this study, we found a negative association between fatigue dimensions and the workability index.

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The effect of work-related and socio-demographic factors on Work Ability Index (WAI) among Iranian workers

Cited by 21 publications

References 20 publications

Mediational Occupational Risk Factors Pertaining to Work Ability According to Age, Gender and Professional Job Type

Mediational Occupational Risk Factors Pertaining to Work Ability According to Age, Gender and Professional Job Type

Job-related factors associated with changes in sleep quality among healthcare workers screening for 2019 novel coronavirus infection: a longitudinal study

Work ability index and occupational Fatigue in the Workers of a Large Automotive company in Iran

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