A retrospective cohort study comparing complaints and diseases in day and shift workers

Summary A retrospective cohort study was carried out in a firm in the chemical industry. The sick records of 370 shift workers in a 12-h shift rota and of 270 day workers with comparable work were analyzed from 1966 to 1977.The incidence of sickness in general did not differ between permanent shift workers and day workers, but was highest in shift workers who transferred later to day work mostly for medical reasons. Furthermore, on the average, shift workers were sick for longer periods than day workers.Significantly more shift workers than day workers consulted the occupational health services about gastrointestinal complaints than day workers. Shift workers had more frequent gastrointestinal diseases than day workers and more severe ones such as peptic ulcers. Gastrointestinal diseases were more frequent in the following groups of the shift workers: Young (21 to 25 years) and unmarried subjects, heavy smokers and subjects with a past history of gastrointestinal diseases.No differences between shift workers and day workers could be detected concerning cardiovascular diseases including myocardial infarction. Psychosomatic disorders were seldom diagnosed and did not differ between shift and day workers. Surprisingly, skeletal diseases including the sequelae of accidents and injuries occurred more often in the shift workers' cohort; the possible cause of this was a higher incidence of moonlightning in shift workers or other activities beside work. The need for prospective follow-up studies is emphasized.Dedicated to Prof. Dr. H. Valentin on the occasion of his 60th birthday     

Absence from work in relation to length and distribution of shift hours

Walker, J., and de la Mare, Gwynneth (1971). Brit. J. industr. Med., 28, 36-44. Absence from work in relation to length and distribution of shift hours. A long period on night shift or even permanent night work has sometimes been suggested for those on continuous shift work to allow circadian rhythms to adapt. As the weekly hours of work have been reduced there is some evidence that a permanent night shift is practical, and about 12% of all shift workers are on this type of work. However, the case for permanent night shift must be established on grounds of both effectiveness and acceptability.

The present study compares the absence experience, including sickness absence, of permanent day workers and permanent night workers matched for age and job in three undertakings which contained a range of working conditions.

The question of the relationship between absence from work and total hours worked including overtime has been reopened, and in comparing absence from work according to the type of shift the total hours worked must also be taken into account. The relationship between the average hours when a man was at work and the amount of absence was tested. The men in the three undertakings worked a wide range of voluntary overtime.

The results showed that in two undertakings long-term absence, mainly sickness absence, was higher on the night shift than on the day shift; and, in the third, absence was about the same on the two shifts. As the work load was less in the two undertakings with a higher absence on the night shift it was suggested that selective factors were operating. These results may be contrasted to studies which have compared the absence of rotating shift workers and day workers.

In all three undertakings there was a tendency for absence to be less among high overtime workers than among those who worked medium or small amounts of overtime, although the trends were not consistent. There was no evidence at all that high overtime and absence from work were positively associated.

The implications of these results are discussed.

     

Self-reported health problems and sickness absence in different age groups predominantly engaged in physical work

Objectives

To study the associations between self‐reported health problems and sickness absence from work.

Methods

The results of a questionnaire survey were combined with archival data of sickness absence of 1341 employees (88% males; 62% blue‐collar) in the construction, service and maintenance work within one corporation in Finland. Sex, age and occupational grading were controlled as confounders. A zero‐inflated negative binomial (ZINB) regression model was used in the statistical analysis of sickness absence data.

Results

The prevalence of self‐reported health problems increased with age, from 23% in 18–30‐year‐olds to 54% in 55–61‐year‐olds. However, in those aged 18–30 years, 71% had been absent from work and in those aged 55–61 years this proportion was 53%. When health problems and occupational grading were accounted for in the ZINB model, age as such was not associated with the number of days on sick leave, but the young workers still had higher propensity for (any) sickness absence than the old. Self‐rated future working ability and musculoskeletal impairment were strong determinants of sickness absence. Among those susceptible to taking sick leave, the estimated mean number of absence days increased by 14% for each rise of 1 unit of the impairment score (scale 0–10).

Conclusions

Young subjects had surprisingly high probability for sickness absence although they reported better health than their older colleagues. A higher total count of absence days was found among subjects reporting health problems and poorer working ability, regardless of age, sex and occupational grade. These findings have implications for both management and the healthcare system in the prevention of work disability.Sickness absence means non‐attendance by an employee at work due to a (certified) health complaint when the employer expects attendance. Despite the straightforward definition, sickness absence has proved to be a complex phenomenon. In addition to illness, it has been associated with, for example, demographical and socioeconomic factors, organisational features, job content and attitudes to work.¹ The key psychosocial predictors of sickness absence include individuals'' own perceptions of health and working ability.^2,3It is a common belief that older (supposedly in poorer health) employees are more absent from work than their younger (supposedly healthier) colleagues.^4,5 However, the young seem to stay out of work due to minor health complaints more than older workers. Also some earlier studies have found that older age increases the risk of overall sickness absences, but decreases that of one‐day absences.⁶We investigated how age and self‐reported health problems are associated with sickness absence within a cohort predominantly employed in physical work.     

Prediction of sickness absence: development of a screening instrument

Objectives

To develop a concise screening instrument for early identification of employees at risk for sickness absence due to psychosocial health complaints.

Methods

Data from the Maastricht Cohort Study on “Fatigue at Work” were used to identify items to be associated with an increased risk of sickness absence. The analytical procedures univariate logistic regression, backward stepwise linear regression, and multiple logistic regression were successively applied. For both men and women, sum scores were calculated, and sensitivity and specificity rates of different cut‐off points on the screening instrument were defined.

Results

In women, results suggested that feeling depressed, having a burnout, being tired, being less interested in work, experiencing obligatory change in working days, and living alone, were strong predictors of sickness absence due to psychosocial health complaints. In men, statistically significant predictors were having a history of sickness absence, compulsive thinking, being mentally fatigued, finding it hard to relax, lack of supervisor support, and having no hobbies. A potential cut‐off point of 10 on the screening instrument resulted in a sensitivity score of 41.7% for women and 38.9% for men, and a specificity score of 91.3% for women and 90.6% for men.

Conclusions

This study shows that it is possible to identify predictive factors for sickness absence and to develop an instrument for early identification of employees at risk for sickness absence. The results of this study increase the possibility for both employers and policymakers to implement interventions directed at the prevention of sickness absence.     

Factors affecting long-term sick leave in an industrial population

Factors affecting long-term absenteeism for non-accident-related sickness leave in a large, remotely located factory (Dead Sea Industry, Israel) were evaluated. About 10% (89 persons) of the workers were found to be on sick leave for more than 20 days/year. This group was designated as high absence workers (HAW). Most of the sickness absence were for repeated short-term leaves due to intercurrent diseases, rather than for continuous periods related to a major or single illness. Average cumulative duration of sick leave in this group was 54 days/year. The average number of spells was 11 per year (4.9 days/spell). There were significantly more HAW among skilled (relative risk, R.R. = 1.6) workers or shift workers (R.R. = 1.3), compared to white collar workers. There were significantly fewer HAW among workers 35–49 years of age (7.6%) than among younger (12.5%) or older workers (13.8%). Except for possible hearing loss in one worker, no occupationally related illness was identified. Sixty-six percent of the HAW took many sick leaves, over 20 days during the year following the study year, and 52% of this group took over 20 days in the preceding year (usually for minor diseases or complaints). This pattern of long-term sickness absence indicates that various socioeconomic factors determine HAW to a greater extent than immediate occupational risks or health problems.This work was partially supported by a grant from the Committee of Prevention, the Israeli Ministry of Labor     

Self-Reported Work Ability Predicts Rehabilitation Measures,Disability Pensions,Other Welfare Benefits,and Work Participation: Longitudinal Findings from a Sample of German Employees

Purpose The study examined the performance of the Work Ability Index in predicting rehabilitation measures and disability pensions, sickness absence and unemployment benefits, and work participation among a sample of workers previously receiving sickness absence benefits. Methods Workers aged 40 to 54 years who received sickness absence benefits in 2012 completed the Work Ability Index in 2013. Outcomes were extracted from administrative data records. Results Data for 2149 participants were included (mean age: 47.8 years; 54.4% women). Mean follow-up was 19 months. Work Ability Index scores were poor (7–27 points) in 21% of the participants, and moderate (28–36 points) in 38.4%. In all, 224 rehabilitation measures and 35 disability pensions were approved. Fully adjusted analyses showed increased risk of rehabilitation measures in workers with poor (HR 4.55; 95% CI 3.14–6.60) and moderate scores (HR 2.08; 95% CI 1.43–3.01) compared to workers with good or excellent scores (37–49 points). The risk of a disability pension increased significantly for workers with poor scores (HR 7.78; 95% CI 2.59–23.35). In addition, poor scores were prospectively associated with a longer duration of sickness absence and employment benefits, and fewer employment days and less income from regular employment. Conclusions The Work Ability Index is a potential tool for following up workers who already have an increased risk of permanent work disability due to previous long-term sickness absence.     

Prognostic factors for musculoskeletal sickness absence and return to work among welders and metal workers

OBJECTIVES: To analyse factors that determine the occurrence of sickness absence due to musculoskeletal problems and the time it takes to return to work. METHODS: A longitudinal study with two year follow up was conducted among 283 male welders and metal workers. The survey started with a standardised interview on the occurrence of musculoskeletal complaints. 61 (22%) workers were lost to follow up. Data on sickness absence among 222 workers during the follow up were collected from absence records and self reports. Regression analysis based on proportional hazards models was applied to identify risk factors for the occurrence and duration of sickness absence due to various musculoskeletal complaints. RESULTS: During the follow up 51% of the workers attributed at least one period of sickness absence to musculoskeletal complaints which accounted for 44% of all work days lost. A history of back pain was not associated with sickness absence for back pain, partly because subjects with back pain were more likely to be lost to follow up. Neck or shoulder pain and pain of the upper extremities contributed significantly to neck or shoulder absence (relative risk (RR) 3.35; 95% confidence interval (95% CI) 1.73 to 6.47) and to upper extremities absence (RR 2.29; 95% CI 1.17 to 4.46), respectively. Company and job title were also significant predictors for sickness absence due to these musculoskeletal complaints. Absence with musculoskeletal complaints was not associated with age, height, body mass index, smoking, and duration of employment. Return to work after neck or shoulder absence was worse among metal workers than welders (RR 2.12; 95% CI 1.08 to 4.17). Return to work after lower extremities absence was strongly influenced by visiting a physician (RR 11.31; 95% CI 2.94 to 43.46) and by musculoskeletal comorbidity (RR 2.81; 95% CI 1.18 to 6.73). CONCLUSIONS: Complaints of the neck or shoulder and upper extremities in the 12 months before the study were associated with sickness absence for these complaints during the follow up. Workers with absence due to pain from back, neck or shoulder, upper extremities, or lower extremities were at higher risk of subsequent sickness absence in the next year.

 

     

Predicting the long term course of low back pain and its consequences for sickness absence and associated work disability

Background

Low back pain is characterised by a dynamic pattern of episodes and recovery but little is known about the long term course of back pain due to lack of cohort studies with sufficiently long follow up periods.

Methods

A cohort of 523 workers in nursing homes and homes for the elderly was followed for two years. Physical load was measured by observations at the workplace. Psychosocial factors at work, individual characteristics, and low back pain were determined by questionnaire once a year. The effect of work load on low back pain and the transition of low back pain into sickness absence was calculated with logistic regression analysis. A Markov model was used to construct a hypothetical cohort of workers with follow up of 40 years (40 cycles of 1 year) with transitional probabilities between no complaints, low back pain, and sickness due to low back pain. Permanent disability was used as end state of health.

Results

The transitional probability from no complaints to low back pain varied between p = 0.25 and p = 0.29, from low back pain to sickness absence between p = 0.09 and p = 0.25, and recurrence of sickness absence varied between p = 0.27 and p = 0.50, depending on the level of physical load. During a 40 year career, total sickness absence due to low back pain was approximately 140 weeks (6.6%) among workers with high physical load and about 30 weeks (1.4%) among those with low physical load.

Conclusion

The Markov approach illustrated the potential impact of physical load on (permanent) disability due to low back pain among workers with exposure to physical load. These consequences may go unnoticed in cohort studies with follow up periods of a few years.     

Relations between respiratory symptoms and sickness among workers in the animal feed industry.

OBJECTIVE--The survey aimed at studying the associations between prevalent respiratory symptoms in an occupational population and sickness absence due to respiratory disorders. METHODS--A cross sectional survey among male workers in an animal feed mill was conducted. A total of 303 production workers and 102 office clerks completed a questionnaire on respiratory complaints, smoking habits, and occupational history. The questionnaire was used to identify workers with respiratory symptoms in the past 12 months. During this period all spells of sickness absence were recorded. Causes of sickness were classified in broad categories encompassing respiratory symptoms, influenza, musculoskeletal disorders, and others. RESULTS--Logistic regression analysis showed that workers with respiratory complaints experienced a higher sickness absence than those without respiratory complaints. Adjusted for age and smoking the odds ratio (OR) for sickness prevalence was 1.9 among office clerks and 2.6 among blue collar workers. Smoking increased the risk on sickness absence with ORs of 2.4 and 1.6, respectively. When restricting the analysis to sickness due to respiratory complaints, subjects with respiratory complaints had significantly higher risks for absence prevalence and absence rate than those without respiratory complaints. There were no differences in sickness absence between workers with asthma like complaints and those with chronic bronchitis like complaints. CONCLUSION--The clear associations between respiratory complaints and prevalence and rate of respiratory sickness absence indicate that workers with respiratory complaints are at risk of temporary disability and, thus, may experience a reduced ability to cope with routine activities at work.     

Identifying workers at risk of sickness absence by questionnaire

BACKGROUND: Sickness absence is an important economic problem, because of high costs and lost productivity. Determining factors associated with increased risk of sickness absence may lead to the development of preventive measures. AIMS: To determine whether self-report questionnaires can identify those employees at risk of sickness absence METHODS: Prospective study of 238 healthy administrative workers. Participants completed a questionnaire proven to be valid and consistent. The questionnaire consisted of 116 items about health, work and working conditions. Sickness absence was followed-up for a period of 1 year. RESULTS: The questionnaires of 191 workers (80%) were suitable for analysis. The number of reported health complaints was significantly (P < 0.01) associated with sickness absence (OR 2.18; 95% CI 1.32-3.61). Concentration problems were correlated with more frequent absences, and both nervous complaints and coping problems with longer duration. Age (OR 0.96; 95% CI 0.93-0.99; P = 0.02) and job insecurity (OR 0.68; 95% CI 0.47-0.98; P = 0.04) were negatively associated with sickness absence. Psychosocial and physical work factors were not associated with sickness absence. CONCLUSIONS: Questionnaires on health and work can identify employees at future risk of sickness absence. Workers who report multiple health complaints, especially concentration problems, nervous complaints or coping problems, may be at increased risk of sickness absence.     

Prognostic factors for respiratory sickness absence and return to work among blue collar workers and office personnel

OBJECTIVES—To analyze factors that determine the occurrence of sickness absence due to respiratory disorders and the time it takes to return to work.
METHODS—A longitudinal study with 2 year follow up was conducted among 326 male blue collar and white collar workers. The survey started with an interview on respiratory complaints and spirometry. Sixty six (21%) workers were lost to follow up. Complete data on sickness absence among 251 workers during the follow up were collected from absence records and self reports. Regression analysis based on a proportional hazards model was applied to identify risk factors for the occurrence and duration of sickness absence due to respiratory disorders.
RESULTS—During the follow up 35% workers attributed at least one period of sickness absence to respiratory complaints, which accounted for 14.2% of all days lost. A history of chronic obstructive pulmonary disease (COPD) did not predict sickness absence for COPD; the same was true for chronic non-specific lung disease (CNSLD). Complaints about asthma contributed significantly to absence due to asthma (relative risk (RR) 3.96; 95% confidence interval (95% CI) 1.99 to 7.90). Job title was a significant predictor of sickness absence due to respiratory complaints. Decrease in forced vital capacity (FVC, <80% of the reference value) was also a significant predictor of absence due to asthma (RR 4.03; 95% CI 1.41 to 11.54) and of respiratory absence (RR 2.49; 95% CI 1.07 to 5.79). Absence with respiratory complaints was not associated with age, height, body mass index, or smoking. Duration of employment was a weak almost significant predictor against respiratory absenteeism (RR 0.94; 95% CI 0.91 to 0.97). Return to work after respiratory absence was worse for blue collar workers than office personnel (RR 5.74; 95% CI 1.90 to 17.4 for welders, and RR 6.43; 95% CI 2.08 to 19.85 for metal workers).
CONCLUSIONS—Asthmatic complaints in the 12 months before the study were associated with sickness absence for these complaints during the follow up. An abnormal level of FVC also influenced respiratory absenteeism. Blue collar workers had more often and more prolonged absences due to respiratory disorders than white collar workers. Workers with absence due to respiratory complaints were at higher risk of subsequent sickness absence in the next year.


Keywords: respiratory complaints; sickness absence; return to work     

Shift and Day Work: A Comparison of Sickness Absence, Lateness, and other Absence Behaviour at an Oil Refinery from 1962 to 1965

Despite the increasing use of continuous process shift work in modern industry, few studies on the medical aspects of shift work can be found in recent literature of occupational health. Physiologists have shown that the ability of the body to adjust its circadian rhythms to alteration in hours of work or sleep can take up to a month. The usual type of shift work in industry involves weekly changes of hours, and thus on theoretical grounds at least this may not be the most suitable frequency for shift changes.

Sickness absence of male refinery workers has been studied over a four-year period. The figures show that continuous three-cycle shift workers have consistently and significantly lower rates of sickness than day workers in similar occupations. The annual inception rate (spells) standardized for age was 108% for shift workers and 182% for day workers, and the average annual duration per man was 11 days for shift workers and 18 days for day workers, although the average length of spell was slightly longer among shift workers. As far as is known, such a difference has not been described before in detail.

Age-related lateness and absenteeism have been measured and show similar wide differences between the two groups.

Although both types of worker are largely self-selected, the difference is not due to medical selection or to an excess of any one type of disease in day workers. Over three-quarters of 150 shift workers interviewed stated that they preferred shift work hours and that sleeping difficulties were not common.

It is suggested that the main reasons for the difference between shift and day workers' sickness absence lie in the degree of personal involvement in the work and in the social structure of the working group.

     

Study on the health of female electronics workers on 12 hour shifts

Health complaints, blood pressure, sleep and sickness absenceexperience were studied in 308 female electronics workers employedfor at least one year on 12 h shifts-253 on permanent and 55on rotating schedules. Seventy-five 8 h day workers acted ascontrols. There were no significant differences in symptom prevalencebetween the controls and 12 h shift workers, except for complaintsof tiredness, with a higher proportion of the rotating shiftgroup also having headaches. No significant differences in prevalenceof hypertension were noted. Although subjects on the night shifthad shorter sleep than controls and 12h day workers, only thegroup on rotating schedule had a higher proportion of workerswho did not sleep well compared to the controls. Sickness absencewas not increased in the 12 h shift groups when compared tothe controls. The results indicate no serious health problemsamong workers on 12 h shift for over a year.     

Sickness absence as a risk factor for job termination, unemployment, and disability pension among temporary and permanent employees

Objectives

This study examined sickness absence as a risk factor for job termination, unemployment, and disability pension among temporary and permanent workers.

Methods

Prospective cohort study with data on employment contract and sickness absence in 1996, job termination by 1997, and employment status in 1997 and 2000 for 19 093 temporary and 41 530 permanent public sector employees.

Results

For women aged 40 years or less and for women over 40, a high sickness absence increased the risk of job termination among temporary employees (OR 1.52 (95% CI 1.36 to 1.71) and OR 1.70 (95% CI 1.36 to 2.13) respectively). High absence was not associated with job termination among men in temporary employment. Among permanent employees, high sickness absence predicted job termination among older, but not among younger employees. Temporary employees with high sickness absence were at the highest risk of immediate unemployment and unemployment three years later. Among older permanent employees, high sickness absence was associated with subsequent work disability pension.

Conclusions

A high rate of sickness absenteeism increases the risk of job termination and unemployment among women in temporary public sector jobs. For permanent employees, secure employment provides protection against unemployment even in the case of high sickness absence.     

Correspondence in Stakeholder Assessment of Health,Work Capacity and Sick Leave in Workers with Comorbid Subjective Health Complaints? A Video Vignette Study

Purpose The purpose of this study is to test if there is correspondence in stakeholders’ assessments of health, work capacity and sickness certification in four workers with comorbid subjective health complaints based on video vignettes. Methods A cross sectional survey among stakeholders (N = 514) in Norway in 2009/2010. Logistic regression and multinomial logistic regression was used to obtain the estimated probability of stakeholders choosing 100 % sick leave, partial sick leave or work and the estimation of odds ratio of stakeholder assessment compared to the other stakeholders for the individual worker. Results The supervisors were less likely to assess poor health and reduced work capacity, and more likely to suggest partial sick leave and full time work compared to the GPs for worker 1. The public was less likely to assess comorbidity and reduced work capacity, and 6 and 12 times more likely to suggest partial sick leave and full time work compared to the GPs for worker 1. Stakeholders generally agreed in their assessments of workers 2 and 3. The public was more likely to assess poor health, comorbidity and reduced work capacity, and the supervisors more likely to assess comorbidity and reduced work capacity, compared to the GPs for worker 4. Compared to the GPs, all other stakeholders were less likely to suggest full time work for this worker. Conclusions Our results seem to suggest that stakeholders have divergent assessments of complaints, health, work capacity, and sickness certification in workers with comorbid subjective health complaints.     

Sickness absence and early retirement on health grounds in the construction industry in Ireland

OBJECTIVE—To establish a detailed pattern of the nature and extent of illnesses and injuries among construction workers in Ireland which cause temporary absence from work, and to identify diseases and disabilities which lead to premature retirement from the industry on health grounds.
METHODS—The population base for the study consisted of construction workers who were members of the Construction Federation operatives pension and sick pay scheme. Records of sickness absence since 1981, stored on computer disks, and records of early retirement on health grounds since 1972, stored on microfiche film, were examined. Pertinent data were extracted and transferred to a database; after cleaning and the exclusion of unvalidated data, records of 28 792 absences and 3098 records of early retirement were available for analysis. Data were analysed with Access 97 and Epi Info.
RESULTS—Over the period of the study the mean annual absences were 7.8/100 workers. Three quarters of absences were among younger workers; however, the rate of absence increased with age, as did the mean duration of absence. Injury was the most frequent reason for absence, followed by infectious disease, then musculoskeletal disorders. The mean annual rate of early retirement on health grounds was 5.3/1000 workers. The median age at retirement was 58 years. Cardiovascular disease and musculoskeletal disorders each accounted for nearly one third of the conditions leading to permanent disability on the grounds of which early retirement was granted. During the period of the study, over 677 000 working days were lost due to sickness absence, and over 24 000 potential years of working lives were lost due to early retirement on health grounds.
CONCLUSIONS—The study has shown patterns of sickness absence and early retirement on health grounds in the Irish construction industry which will contribute to the further development of health promotion strategies for construction workers.


Keywords: construction industry; sickness absence; early retirement     

Absenteeism of shift and day workers: A study of six types of shift system in 29 organizations

Taylor, P. J., Pocock, S. J., and Sergean, R. (1972).Brit. J. industr. Med.,29, 208-213. Absenteeism of shift and day workers. Previous evidence on the effects of shift work upon absence behaviour is conflicting, this being due in part to the variety of shift systems in use. A study is described in which absence records over two years were obtained for 965 matched pairs of shift and day workers from 29 organizations. Six types of shift system were involved, providing comprehensive coverage of shift work in the United Kingdom. Matching was achieved for sex, age, workplace, and occupation. Absence records included certified sickness, short sickness, and non-medical absence.

The overall results showed that shift workers had less absence of all three types than their colleagues on day work, this difference being most marked in the numbers of men having several episodes. No significant differences were found in the diagnostic pattern of certified absence. Comparisons between day work and each of the six types of shift work did not provide any definite conclusions as to their relative merits as far as absence is concerned. The results from the different organizations were not wholly consistent, but a substantial majority followed the general trend.

     

Using Sickness Absence Records to Predict Future Depression in a Working Population: Prospective Findings From the GAZEL Cohort

Objectives. We tested the hypothesis that sickness absence from work predicts workers'' risk of later depression.Methods. Study participants (n = 7391) belonged to the French GAZEL cohort of employees of the national gas and electricity company. Sickness absence data (1996–1999) were obtained from company records. Participants'' depression in 1996 and 1999 was assessed with the Center for Epidemiologic Studies–Depression (CES-D) scale. The analyses were controlled for baseline age, gender, marital status, occupational grade, tobacco smoking status, alcohol consumption, subthreshold depressive symptoms, and work stress.Results. Among workers who were free of depression in 1996, 13% had depression in 1999. Compared with workers with no sickness absence during the study period, those with sickness absence were more likely to be depressed at follow-up (for 1 period of sickness absence, fully adjusted odds ratio [OR] = 1.53, 95% confidence interval [CI] = 1.28, 1.82; for 2 or more periods, fully adjusted OR = 1.95, 95% CI = 1.61, 2.36). Future depression was predicted both by psychiatric and nonpsychiatric sickness absence (fully adjusted OR = 3.79 [95% CI = 2.81, 5.10] and 1.41 [95% CI = 1.21, 1.65], respectively).Conclusions. Sickness absence records may help identify workers vulnerable to future depression.In industrialized countries, depression affects up to 20% of individuals at some point during their lifetimes and is a leading cause of disability and decreased quality of life.^1,2 Typically, the disorder begins in adulthood, significantly impairing individuals'' ability to fulfill their family and work roles.³ Depression is a strong, independent, and underestimated risk factor for work-related disability.⁴ Fortunately, it can be treated, and research suggests that adequate mental health treatment of affected individuals can improve both their clinical outcomes and work performance.^5,6Conversely, individuals'' ability to fulfill their usual roles at work, as measured by sickness absence, appears to predict future health.^7–10,11 In particular, sickness absence may predict the occurrence of mental health problems such as depression, but to date this question has not been thoroughly examined.To test the hypothesis that sickness absence from work predicts future onset of depression, we used data from the GAZEL study, an ongoing occupational cohort study of 20 000 workers,¹² in which exhaustive sickness absence data were collected directly from company records. To account for the possibility that sickness absence reflects prior mental health problems, we restricted the analysis to workers who did not have depression during the 12 months preceding the 1996 assessment and adjusted the analyses for subthreshold depressive symptoms. Additionally, our analyses controlled for participants'' demographic characteristics, occupational grade, health behaviors, and work stress, because these factors may be associated with the onset of depression.     

Sickness presenteeism is more than an alternative to sickness absence: results from the population-based SLOSH study

Purpose

Sickness presenteeism, defined as ‘going to work despite judging that one should have reported in sick’, is usually considered to be a complementary alternative to sickness absence. Nonetheless, several studies have reported a positive association between sickness absence and sickness presenteeism. The aim of the present study was to investigate whether the contemporaneous positive association between sickness absence and sickness presenteeism can be explained by illness, work incapacity, and/or work environment.

Methods

A cross-sectional study based on answers to a comprehensive questionnaire from 8,304 working women and men, those in the second wave of the nationally representative Swedish Longitudinal Occupational Survey of Health. Logistic regression was used to investigate the association between sickness presenteeism and sickness absence.

Results

Sickness absence was strongly associated with sickness presenteeism. Sickness absence of 1–7?days during a 12-month period more than doubled the odds of also having sickness presenteeism of more than 8?days during the same 12-month period (OR?=?2.11; 95% CI: 1.79–2.49). Adjusting for age and sex did not attenuate the association; further adjustment for work environment, self-rated health, chronic diseases, and work capacity reduced the odds somewhat, but they remained highly significant (OR?=?1.88; 95% CI: 1.56–2.25).

Conclusions

The results suggest that sickness presenteeism is not, as earlier hypothesised, just an alternative to sickness absence, given a certain level of health or work incapacity. Other, so far unknown explanations for both sickness absence and sickness presenteeism must be sought.     

A one-item workability measure mediates work demands, individual resources and health in the prediction of sickness absence

Objectives

The study tested the hypothesis that a one-item workability measure represented an assessment of the fit between resources (the individuals’ physical and mental health and functioning) and workplace demands and that this resource/demand fit was a mediator in the prediction of sickness absence. We also estimated the relative importance of health and work environment for workability and sickness absence.

Methods

Baseline data were collected within a Danish work and health survey (3,214 men and 3,529 women) and followed up in a register of sickness absence. Probit regression analysis with workability as mediator was performed for a binary outcome of sickness absence. The predictors in the analysis were as follows: age, social class, physical health, mental health, number of diagnoses, ergonomic exposures, occupational noise, exposure to risks, social support from supervisor, job control and quantitative demands.

Results

High age, poor health and ergonomic exposures were associated with low workability and mediated by workability to sickness absence for both genders. Low social class and low quantitative demands were associated with low workability and mediated to sickness absence among men. The mediated part was from 11 to 63 % of the total effect for the significant predictors.

Conclusion

Workability mediated health, age, social class and ergonomic exposures in the prediction of sickness absence. The health predictors had the highest association with both workability and sickness absence; physical work environment was higher associated with the outcomes than psychosocial work environment. However, the explanatory value of the predictors for the variance in the model was low.