The contribution of occupational factors to social inequalities in health: findings from the national French SUMER survey

Social inequalities in health have long been demonstrated, but the understanding of these inequalities remains unclear. Work and its related occupational factors may contribute to these inequalities. The objective of this study was to study the contribution of work factors using an integrated approach (including all types of exposures) to social inequalities in three health outcomes: poor self-reported health, long sickness absence, and work injury. Respondents were 14,241 men and 10,245 women drawn from a survey of the national French working population (response rate: 96.5%). Work factors included job characteristics, and occupational exposures of the physical, ergonomic, biological, chemical, and psychosocial work environment. All work factors were measured through expert evaluation by occupational physicians, except psychosocial work factors, which were self-reported. Strong social gradients were found for all work factors, except for psychological demands, workplace bullying, and aggression from the public. Marked social gradients were also observed for the health outcomes studied, blue collar workers being more likely to report poor self-reported health, long sickness absence, and work injury. The social differences in health were reduced strongly after adjustment for work factors (psychological demands excluded) by 24-58% according to sex and health outcomes. The strongest impacts were found for decision latitude, ergonomic, physical, and chemical exposures, as well as for work schedules. A detailed analysis allowed us to identify more precisely the contributing occupational factors. It suggests that concerted prevention of occupational risk factors would be useful not only to improve health at work, but also to reduce social inequalities in health.     

Importance of psychosocial work factors on general health outcomes in the national French SUMER survey

AIM: To examine the associations between psychosocial work factors and general health outcomes, taking into account other occupational risk factors, within the national French working population. METHODS: The study was based on a large national sample of 24 486 women and men of the French working population who filled in a self-administered questionnaire in 2003 (response rate: 96.5%). Psychosocial work exposures included psychological demands, decision latitude, social support, workplace bullying and violence from the public. The three health indicators studied were self-reported health, long sickness absence (>8 days of absence) and work injury. Adjustment was made for covariates: age, occupation, work status, working hours, time schedules, physical, ergonomic, biological and chemical exposures. Men and women were studied separately. RESULTS: Low levels of decision latitude, and of social support, and high psychological demands were found to be risk factors for poor self-reported health and long sickness absence. High demands were also found to be associated with work injury. Workplace bullying and/or violence from the public also increased the risk of poor health, long sickness absence and work injury. CONCLUSION: Psychosocial work factors were found to be strong risk factors for health outcomes; the results were unchanged after adjustment for other occupational risk factors. Preventive efforts should be intensified towards reducing these psychosocial work exposures.     

Do risk factors explain more of the social gradient in self-reported health when adjusting for baseline health?

BACKGROUND: It has often been debated the extent to which known risk factors explain socio-economic differences in health. While common in mortality studies, few studies of morbidity adjust for baseline health. In this study, we argue that there are sound reasons to do so, and examine whether a set of risk factors explain a larger part of social gradients in men and women's self-rated health (SRH) in Denmark when controlling for previous health. METHODS: We use interval regression models on longitudinal survey data from 1990 and 1995 separately for Danish male and female workers aged 18-59. RESULTS: Large social gradients are found in SRH for both men and women. The included risk factors (smoking, body mass index, high blood pressure and job satisfaction) reduce the educational gradient in SRH by 40% (based on highest versus no education), the wage gradient by 18% and leaves occupational gradients (based on no employment versus white collar workers) unaltered for men. For women, similar gradients are altered by 6 and 22 and 14% in cross-sectional models. Controlling for baseline health 5 years earlier, the risk factors reduce the education, occupation and wage gradients by 45, -15 and 17% for men and by 5, 25 and 15% for women. CONCLUSION: The findings suggest that common risk factors do not explain a larger fraction of social health inequalities in dynamic than in static models of self-reported health.     

Work factors and occupational class disparities in sickness absence: findings from the GAZEL cohort study

OBJECTIVES: To estimate the contribution of stress-related and physical work factors to occupational class disparities in sickness absence from work. METHODS: Our sample consisted of 8847 men and 2886 women participating in the French GAZEL cohort study. Occupational class and medically certified sickness absence data (1995-2001) were obtained from the participants' employer. Work characteristics (physical and stress-related) were self-reported. We calculated rate ratios with Poisson regression models; fractions of sickness absence attributable to work factors were estimated with the Miettinen formula. RESULTS: Sickness absence was distributed along an occupational gradient. Work characteristics accounted for 19% (women) and 21% (men) of all absences. Physical work conditions accounted for 42% and 13% of absences for musculoskeletal reasons, and work stress accounted for 48% and 40% of psychiatric absences. Overall, about 20% of the occupational class gradient in sickness absence could have been associated with deleterious work conditions. CONCLUSION: Work conditions contribute to sickness absence, particularly among manual workers and clerks. Policies that decrease ergonomic constraints and work stress also could reduce the burden of ill health and sickness absence among the lowest strata of working populations.     

Sickness absence in the Whitehall II study, London: the role of social support and material problems.

STUDY OBJECTIVE--To investigate the role of social supports, social networks, and chronic stressors: (i) as predictors of sickness absence; and (ii) as potential explanations for the socioeconomic gradient in sickness absence. DESIGN--A prospective cohort study (Whitehall II study) with sociodemographic factors, health and social support measured at baseline, and spells of sickness absence measured prospectively. SETTING--Twenty London based non-industrial departments of the British civil service. PARTICIPANTS--Participants were civil servants (n = 10,308), aged 35-55 years at baseline, of whom 67% (6895) were men and 33% (3413) were women. The overall response rate for Whitehall II was 73% (74% for men and 71% for women). The analysis is based on 41% of the sample who had data on reasons for sickness absence and were administered all social support questions. Only 4.3% of participants did not complete all necessary questions and were excluded. MEASUREMENTS AND MAIN RESULTS--High levels of confiding/emotional support from the "closest person" predicted higher levels of both short and long spells of sickness absence. After adjusting for baseline physical and psychological health the effects were increased, suggesting that high levels of confiding/emotional support may encourage illness behaviour rather than generate illness. Social network measures showed a consistent but less striking pattern. Increased levels of negative aspects of social support resulted in higher rates of sickness absence. Material problems strongly predicted sickness absence, but the effect was diminished once adjustment for the covariables was made, suggesting that health status may be functioning as an intervening variable between chronic stressors and sickness absence. In addition, social support may buffer the effects of chronic stressors. Social support did not contribute to explaining the gradient in sickness absence by employment grade beyond that explained by the baseline covariables. CONCLUSIONS--Sickness absence from work is a complex phenomenon, combining illness and coping behaviours. High levels of confiding/emotional support, although not entirely consistent across samples, may either encourage people to stay at home when they are ill or may be accompanied by more social obligations at home prolonging sickness absence. Negative aspects of close relationships may jeopardize health and hence increase sickness absence.     

A comparison of socio-economic differences in long-term sickness absence in a Japanese cohort and a British cohort of employed men

OBJECTIVES: To compare the magnitude of socio-economic differences in sickness absence rates between a Japanese cohort and a British cohort. To assess the effects of self-rated health and behavioural risk factors on sickness absence in the two cohorts, and whether they explain socio-economic differences in sickness absence within and between cohorts. METHODS: An 8 year follow up study of sickness absence in 2504 Japanese male employees in a factory in Japan and 6290 British male employees in civil service departments in London. The rates of first occurrences of long-term (>7 calendar days) sickness absence were determined and compared between these cohorts. Socio-economic status was measured with hierarchical employment grades. RESULTS: The first time sickness absence rates were about two times higher among British men as compared with Japanese men. The rate ratio of lower to higher employment grade was 1.2, 1.3 and 2.1 among Japanese white-collar, Japanese blue-collar and British white-collar employees respectively. Baseline self-rated health and smoking habit predicted sickness absence in both cohorts. After adjusting for these factors a significant difference between the Japanese and British cohorts, and between employment grades remained. CONCLUSIONS: The rate of long-term sickness absence was higher in the British cohort than the Japanese cohort.     

Contingent employment, health and sickness absence.

OBJECTIVES: This study explored the health and sickness absences of contingent employees. METHODS: Analyses of self-reported health and recorded spells of sickness absence were based on a cohort of 5650 employees (674 men, 4976 women) in 10 Finnish hospitals. RESULTS: After adjustment for demographic and work-related characteristics, contingent employees had a better self-rated health status [odds ratio 0.76, 95% confidence interval (95% CI) 0.62-0.94 of poor or average health status]. There were no differences in the prevalence of diagnosed chronic diseases and minor psychiatric morbidity between the groups. After adjustment for self-rated health and confounding, female, but not male, contingent employees had a lower rate of self-certified (1-3 days) sickness absences than permanent employees (rate ratio 0.90, 95% CI 0.85-0.95). Contingent employees, irrespective of gender, had a 0.77 (95% CI 0.71-0.84) times lower rate of medically certified (>3 days) sickness absence than permanent employees. Poor self-rated health status, reported diagnosed chronic diseases, and minor psychiatric morbidity were associated with medically certified absences to a less extent among contingent employees than among permanent employees. CONCLUSIONS: These findings suggest better self-rated health and a lower sickness absence rate for contingent employees than for permanent employees. The difference in sickness absence between the groups seems not only to be associated with actual differences in health, but also with different thresholds of taking sick leave or working while ill.     

Alcohol intake and sickness absence: a curvilinear relation

Little is known about the U-shaped relation between alcohol intake and health beyond findings related to cardiovascular disease. Medically certified sickness absence is a health indicator in which coronary heart disease is only a minor factor. To investigate the relation between alcohol intake and sickness absence, records regarding medically certified sick leaves from all causes were assessed for 4 years (1997-2000) in a cohort of 1,490 male and 4,952 female municipal employees in Finland. Hierarchical Poisson regression, adjusted for self-reported behavioral and biologic risk factors, psychosocial risk factors, and cardiovascular diseases, was used to estimate the rate ratios and their 95% confidence intervals, relating sickness absence to each level of alcohol consumption. For both men and women, a significant curvilinear trend was found between level of average weekly alcohol consumption and sickness absence. The rates of medically certified sickness absence were 1.2-fold higher (95% confidence interval: 1.1, 1.3) for never, former, and heavy drinkers compared with light drinkers. The U-shaped relation between alcohol intake and health is not likely to be explained by confounding due to psychosocial differences or inclusion of former drinkers in the nondrinkers category. Moderate alcohol consumption also may reduce health problems other than cardiovascular disease.     

Are self-reports of health and morbidities in developing countries misleading? Evidence from India

Self-reported measures of poor health and morbidities from developing countries tend to be viewed with considerable skepticism. Examination of the social gradient in self-reported health and morbidity measures provides a useful test of the validity of self-reports of poor health and morbidities. The prevailing view, in part influenced by Amartya Sen, is that socially disadvantaged individuals will fail to perceive and report the presence of illness or health-deficits because an individual's assessment of their health is directly contingent on their social experience. In this study, we tested whether the association between self-reported poor health/morbidities and socioeconomic status (SES) in India follows the expected direction or not. Cross-sectional logistic regression analyses were carried out on a nationally representative population-based sample from the 1998 to 1999 Indian National Family Health Survey (INFHS); and 1995–1996 and 2004 Indian National Sample Survey (INSS). Four binary outcomes were analyzed: any self-reported morbidity; self-reported sickness in the last 15 days; self-reported sickness in the past year; and poor self-rated health. In separate adjusted models, individuals with no education reported higher levels of any self-reported, self-reported sickness in the last 15 days, self-reported sickness in the last year, and poor self-rated health compared to those with most education. Contrary to the prevailing thesis, we find that the use of self-rated ill-health has face validity as assessed via its relationship to SES. A less dismissive and pessimistic view of health data obtained through self-reports seems warranted.     

Occupational and social variation in subjective health complaints

OBJECTIVES: Occupational and social factors are thought to be important determinants of health inequality. The aim of this study was to examine the relationships between occupation, lifestyle and subjective health complaints (SHC). METHODS: SHC and self-reported sickness absence were recorded in a cross-sectional study of 662 individuals aged between 16 and 67 from five occupational groups: blue-collar, school/education, health service, white-collar and service. Differences in SHC and sickness absence were investigated. A model of sociodemographic, lifestyle and work-related factors was tested to examine associations with SHC. RESULTS: Few differences in SHC and sickness absence were found when educational level, age and gender were controlled for. Female health service workers did, however, show significantly higher prevalence of pseudoneurological complaints compared with white-collar workers. Male blue-collar workers had significantly higher frequency of sickness absence than white-collar workers; otherwise, there were no significant differences in frequency and duration of sickness absence. The model explained very little of the variance of SHC (R(2)(adj) = 0.15) and occupational group was not significantly associated with health. Physical workload and sleep quality showed significant relationships with SHC for both genders. Education, however, was a significant factor for women only. CONCLUSIONS: The differences in health found between major occupational groups in this sample were mainly explained by gender differences. Sociodemographic, lifestyle and work-related factors explained little of the variance in SHC, suggesting that factors such as psychological demands, perceived job stress, coping and other psychological factors might be of stronger importance for SHC.     

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.     

Sickness absence in hospital physicians: 2 year follow up study on determinants

OBJECTIVES—To identify determinants of sickness absence in hospital physicians.
METHODS—The Poisson regression analyses of short (1-3 days) and long (>3 days) recorded spells of sickness absence relating to potential determinants of sickness absence were based on a 2 year follow up period and cohorts of 447 (251 male and 196 female) physicians and 466 controls (female head nurses and ward sisters).
RESULTS—There were no differences in health outcomes, self rated health status, prevalence of chronic illness, and being a case on the general health questionnaire (GHQ), between the groups but physicians took one third to a half the sick leave of controls. All the health outcomes were strongly associated with sickness absence in both groups. Of work related factors, teamwork had the greatest effect on sickness absence in physicians but not in the controls. Physicians working in poorly functioning teams were at 1.8 (95% confidence interval (95% CI) 1.3 to 3.0) times greater risk of taking long spells than physicians working in well functioning teams. Risks related to overload, heavy on call responsibility, poor job control, social circumstances outside the workplace, and health behaviours were smaller.
CONCLUSION—This is the first study of hospital physicians to show the association between recorded sickness absence and factors across various areas of life. In this occupational group, sickness absence is strongly associated with health problems, and the threshold for taking sick leave is high. Poor teamwork seems to contribute to the sickness absenteeism of hospital physicians even more than traditional psychosocial risks—such as overload and low job control. These findings may have implications for training and health promotion in hospitals.


Keywords: health care personnel; occupational health; psychosocial factors     

Sickness absence as a measure of health status and functioning: from the UK Whitehall II study.

STUDY OBJECTIVE--To investigate the relationship between self reported health status and sickness absence. DESIGN--Analysis of questionnaire and sickness absence data from the first phase of the Whitehall II study--a longitudinal study set up to investigate the degree and causes of the social gradient in morbidity and mortality. SETTING--London offices of 20 civil service departments. PARTICIPANTS--Altogether 6895 male and 3413 female civil servants aged 35-55 years. Analysis was conducted on 88% of participants who had complete data for the present analysis. MAIN RESULTS--A strong inverse relation between the grade of employment (measure of socioeconomic status) and sickness absence was observed. Men in the lowest grade had rates of sickness absence six times higher than those in the highest grade. For women the corresponding differences were two to five times higher. In general, the longer the duration of absence, the more strongly did baseline health predict rates of absence. However, the health measures also predicted shorter spells, although to a lesser extent. Job satisfaction was strongly related to sickness absence with higher rates in those who reported low job satisfaction. After adjusting for health status the association remained for one to two day absences, but was greatly reduced for absences longer than three days. CONCLUSION--There was a strong association between ill health and sickness absence, particularly for longer spells. The magnitude of the association may have been underestimated because of the strength of the association between grade of employment and sickness absence. It is proposed that sickness absence be used as an integrated measure of physical, psychological, and social functioning in studies of working populations.     

Organisational justice and health of employees: prospective cohort study

Aims: To examine the association between components of organisational justice (that is, justice of decision making procedures and interpersonal treatment) and health of employees.

Methods: The Poisson regression analyses of recorded all-cause sickness absences with medical certificate and the logistic regression analyses of minor psychiatric morbidity, as assessed by the General Health Questionnaire, and poor self rated health status were based on a cohort of 416 male and 3357 female employees working during 1998–2000 in 10 hospitals in Finland.

Results: Low versus high justice of decision making procedures was associated with a 41% higher risk of sickness absence in men (rate ratio (RR) 1.4, 95% confidence interval (CI) 1.1 to 1.8), and a 12% higher risk in women (RR 1.1, 95% CI 1.0 to 1.2) after adjustment for baseline characteristics. The corresponding odds ratios (OR) for minor psychiatric morbidity were 1.6 (95% CI 1.0 to 2.6) in men and 1.4 (95% CI 1.2 to 1.7) in women, and for self rated health 1.4 in both sexes. In interpersonal treatment, low justice increased the risk of sickness absence (RR 1.3 (95% CI 1.0 to 1.6) and RR 1.2 (95% CI 1.2 to 1.3) in men and women respectively), and minor psychiatric morbidity (OR 1.2 in both sexes). These figures largely persisted after control for other risk factors (for example, job control, workload, social support, and hostility) and they were replicated in initially healthy subcohorts. No evidence was found to support the hypothesis that organisational justice would represent a consequence of health (reversed causality).

Conclusions: This is the first longitudinal study to show that the extent to which people are treated with justice in workplaces independently predicts their health.

     

Avoidable Sickness Absence in a Dutch Working Population

Introduction Sickness absence has an important impact on employers (e.g. reduced productivity, high costs) and employees (e.g. replacement, job loss). Therefore, we investigated possible reduction by exploring avoidable sickness absence. Methods A questionnaire was filled out by 2,954 Dutch workers (internet panel of a marketing research company, 2005). We obtained data on self reported sickness absence (6.5 months), including the main reason for each sickness absence spell (4 health and 3 non-health reasons), self-reported work-relatedness of absence and workers’ opinion on whether their absence could have been shorter or prevented, and on 12 listed factors that might have contributed to sickness absence. For each of these factors we calculated the avoidable absence fraction (AAF), analogous to the epidemiological population attributable risk. Results A total of 1,233 workers reported sickness absence. The absence rate was 4.46%. For 11% of the absence rate health was not the main reason. Yet, when non-health was reported as the main reason for absence, health still contributed in half the cases. 35% of the absence rate was mainly work-related. 15% of the workers mentioned that their sickness absence could have been shorter or prevented. The AAFs of contributory factors were 0.129 for home related factors, 0.136 for work-related factors and 0.101 for (occupational) health care and guidance factors. In total, the AAF showed that 21.5% of the absence rate can be considered possibly avoidable. Conclusion According to the studied workers sickness absence rate can be reduced. In reducing the absence, one should not only consider factors from the home and work situation, but also from (occupational) health care.     

A comparison of self-reported sickness absence with absences recorded in employers' registers: evidence from the Whitehall II study

Aim: To compare self-reported sickness absence days in the last 12 months with recorded absences from the employers' registers for the same period.

Methods: Self-reported sickness absence data over the 12 months preceding baseline (1985–88) were compared with absence records from the employers' registers over the same period for 2406 women and 5589 men, participants in the Whitehall II study of British civil servants. Associations with self-rated health, longstanding illness, minor psychiatric disorder, physical illness, and prevalent coronary heart disease at baseline were determined.

Results: In general, women reported less sickness absence over the last year than was recorded in the employers' registers, while men, with the exception of those in the lower employment grades, reported more. Agreement between self-reported and recorded absence days decreased as the total number of days increased. After adjustment for employment grade and the average number of recorded and self-reported absence days, the total number of self-reported absence days was within two days of the recorded number of days for 63% of women and 67% of men. Associations between annual self-reported sickness absence days and self-rated health, longstanding illness, minor psychiatric disorder, physical illness, and prevalent coronary heart disease were as strong as those for recorded absence days.

Conclusion: These findings suggest that agreement between the annual number of self-reported and the annual number of recorded sickness absence days is relatively good in both sexes and that associations with health are equivalent for both measures.

     

Are health inequalities between differently deprived areas evident at different ages? A longitudinal study of census records in England and Wales, 1991–2001

The notion that mortality inequalities between differently deprived areas vary by age is logical since not all causes of death increase in risk with age and not all causes of death are related to the gradient of deprivation. In addition to the cause-age and cause-deprivation relationships, population migration may redistribute the population such that the health-deprivation relationship varies by age.We calculate cross-sectional all cause mortality and self-reported limiting long-term illness (LLTI) rate ratios of most to least deprived areas to demonstrate inequalities at different ages. We use longitudinal data to investigate whether there are changes in the distribution of cohorts between differently deprived areas over time and whether gradients of LLTI with deprivation also change.We find similar deprivation inequalities by age for all cause mortality and self-reported health with less inequality for young adults and the elderly but the greatest inequalities during mid life. Over time there are systematic movements of cohorts between differently deprived areas and associated increases and decreases in the gradient of LLTI across deprivation. It seems likely that population migration does influence inequalities by age. Further work should investigate whether the situation exists for other morbidities and, to better inform public health policy, whether restricting summary measures of area health to ages between 30 and 60 when inequalities are greatest will highlight between area differences.     

Consequences of sickness presence and sickness absence on health and work ability: A Swedish prospective cohort study

Objective  

To determine whether self-reported sickness presence (SP) and self-reported sickness absence (SA) are specific risk factors for future health problems or reduced work ability in the active workforce.     

Health complaints and sickness absence in Norway, 1996-2003

BACKGROUND: From 1996 to 2003, the total number of sickness absence days increased by 65% in Norway. AIM: To investigate if this could be explained by a corresponding increase in the prevalence of self-reported health complaints in the same period. METHODS: Representative samples of the Norwegian working population in 1996 (n = 838) and 2003 (n = 637) answered the subjective health complaints (SHC) questionnaire. The single items of the SHC questionnaire were matched with the corresponding sickness absence statistics from the National Insurance Administration in 1996 and 2003. RESULTS: The main finding was a poor concordance between the change in prevalence of health complaints and the change in the prevalence of sickness absence for diagnoses corresponding to these complaints. The prevalence of health complaints in Norway was high and relatively stable from 1996 to 2003. The only complaints that increased in prevalence during the period were allergy and severe asthma. Sickness absence for health complaints, however, showed a general increase. The diagnoses with the largest percentage increase in sickness absence were sleep problems, tiredness, anxiety and palpitation, although the absolute number of individuals with sickness absence for these complaints was small. CONCLUSIONS: The increased sickness absence in Norway from 1996 to 2003 cannot be explained by an increase in health complaints in the general population in the same period. The increase in sickness absence is most likely to be explained by multifactorial causes, such as changes in working life and health expectations.     

Workplace as an origin of health inequalities

OBJECTIVE: To investigate the effect of the workplace on the socioeconomic gradient of sickness absence. DESIGN: Comparison of the relation between socioeconomic status and employee sickness absence in three different towns. SETTINGS: The towns of Raisio, Valkeakoski, and Nokia in Finland. They are equal in size and regional social deprivation indices, located in the neighbourhood of a larger city, and produce the same services to the inhabitants. SUBJECTS: All permanent local government employees from Raisio (n = 887), Valkeakoski (n = 972), and Nokia (n = 934) on the employer's registers during 1991 to 1993. MAIN OUTCOME MEASURES: Rates of short (1-3 days) and long (> 3 days) spells of sickness absence, irrespective of cause, and separately for infection, musculoskeletal disorder, and trauma. RESULTS: In blue collar male and female workers, compared with the same sex higher grade white collar workers, the age adjusted numbers of long sick leaves were 4.9 (95% CI 4.2, 5.8) and 2.8 (2.6, 3.1) times higher, respectively. The risk varied significantly between the towns, in men in relation to long sick leaves irrespective of cause and resulting from musculoskeletal disorders, and in women in relation to long leaves resulting from infection. The numbers of long sick leaves were 3.9 (95% CI 2.8, 5.4) times higher in blue collar male workers than in higher grade white collar male workers in Raisio, 4.9 (95% CI 3.8, 6.3) times higher in Valkeakoski, and 5.8 (95% CI 4.5, 7.5) times higher in Nokia. Sickness absence of blue collar employees differed most between the towns. The rates of long sick leaves in blue collar men were 1.46 times greater (95% CI 1.25, 1.72) in Valkeakoski and 1.85 times greater (95% CI 1.58, 2.16) in Nokia than in Raisio. In men, no significant differences were found between the towns as regards the numbers of long sick leaves of higher grade white collar male workers. The socioeconomic gradients differed more between the towns in men who had worked for four years or more in the same employment than in men who had worked for shorter periods. No consistent health gradients of socioeconomic status were evident for short sick leaves among either sex. CONCLUSIONS: In men and to a lesser extent in women, the workplace is significantly associated with health inequalities as reflected by medically certified sickness absence and the corresponding socioeconomic gradients of health.