Int J Med Sci 2007; 4(3):153-158. doi:10.7150/ijms.4.153
Self-reported sickness absence as a risk marker of future disability pension. Prospective findings from the DWECS/DREAM study 1990-2004
National Research Centre for the Working Environment, Lerso Parkallé 105, DK-2100 Copenhagen, Denmark
Labriola M, Lund T. Self-reported sickness absence as a risk marker of future disability pension. Prospective findings from the DWECS/DREAM study 1990-2004. Int J Med Sci 2007; 4(3):153-158. doi:10.7150/ijms.4.153. Available from https://www.medsci.org/v04p0153.htm
Objectives: This prospective cohort study examines number of self-reported days of sickness absence as a risk marker for future disability pension among a representative sample of employees in Denmark 1990-2004.
Material and methods: 4177 employees between 18 and 45 years were interviewed using a self-administered questionnaire in 1990 regarding sickness absence, age, gender, socioeconomic position, health behaviour, and physical and psychosocial work environment. They were followed for 168 months in a national disability pension register. Logistic regression analysis was performed in order to assess risk estimates for levels of absence and future disability pension.
Results: During follow-up, a total of 140 persons (3.4%) received disability pension. Of these, 82 (58.6%) were women, 58 (41.4%) were men. There was a 2.5 fold risk of future disability pension for the part of the population reporting more than 6 days of sickness absence per annum at baseline, when taking into account gender, age, socioeconomic position, health behaviour, physical and psychosocial work environment.
Conclusion: The findings suggest that information on self-reported days of sickness absence can be used to effectively identify “at risk” groups for disability pension.
Keywords: Sickness absence, self-reported, disability pension, prospective, Denmark
Costs of disability pensions are steadily growing in many European and Scandinavian countries and in the United States [1, 2]. In the UK, for example, expenditure on disability pensions accounted for 0.9% of Gross Domestic Product (GDP) in 1980, but two decades later had reached 2.6% of GDP . Corresponding trends have been observed in other countries .
Currently, approximately 8% of the Danish population between 20 and 64 years of age receive permanent disability benefits . According to Statistics Denmark, costs for disability pension and rehabilitation in Denmark have risen from 4.5 bn Euros in 1995 to 8.1 bn Euros in 2004 (www.statistikbanken.dk). Furthermore, work disability costs in terms of worsening of individual wellbeing due to exclusion from working life have also been proven to be substantial in previous studies: work disabled are more prone to experience various future consequences in terms of social inactivity and isolation, suicide, and poor financial circumstances .
There seems to be increasing recognition of the abilities of certain measures of sickness absence to measure physical, psychological, and social functioning as well as to predict hard end points such as mortality in working populations [5-7]. In contrast, only few studies have assessed predictive abilities of sickness absence in terms of future disability pension [8-10]. In the Finnish 10-town study among 46 589 municipal employees, sickness absence periods longer than 3 days were a stronger predictor of later disability pension than were shorter sickness absence periods . Among 10 077 long-term sickness absentees from a random sample of the Norwegian population, disability pension was predicted by sickness absence periods exceeding 28 weeks . In addition, there are a few small-scale studies with varying definitions of sickness absence and these studies have also reported a link between increased sickness absence and elevated risk of future disability pension [11-13].
As disability pensions are rare events, the sample size and follow-up periods in most previous studies may be too small for a detailed analysis of the association between absence duration and pension risk. Moreover, most studies were based on either company- or administratively collected absence data, which may not always be obtainable, and mostly in countries with a welfare system providing and registering compensation for absence and disability. We therefore studied the predictive abilities of an absence measure which does not presuppose such a system, and can be applied to surveys in various settings.
The aim of this study was to examine the associations between days of self-reported sickness absence and future disability pension in a population of employees in Denmark in 1990. To determine specifically whether self-reported sickness absence represents a risk marker sufficiently distant to provide time to intervene and potentially prevent early disability pension, we performed analysis for 4174 employees between 18 and 45 years of age at study entry.
The study is based upon the database DWECS/DREAM ; a merger between the Danish Work Environment Cohort Study (DWECS) and the national register on social transfer payments (DREAM). DREAM is a register based on data from the Danish Ministry of Employment, the Ministry of Social Affairs and the Ministry of Education. DWECS was conducted in 1990, and featured a random sample drawn from the Central Population Register of Denmark of 9653 people aged 18-59. Of these, 8664 participated in the survey (response rate 90%). Of these, 5940 were employees, meaning they had been employed for at least two months prior to baseline interview. They were interviewed using a self-administered questionnaire regarding sickness absence during the 12 months prior to interview, and the covariates age, gender, socioeconomic position, health behavior and work environment exposures.
Growing numbers of younger disability pension recipients are a particular problem as they may be beneficiaries for decades: An upper cut-off point of 45 years of ages was chosen to ensure a study population considerably younger than the official retirement age, and to ensure a maximum age of 59 during follow-up: Alternative labour market exit options in terms of voluntary early retirement is available from age 60 on the Danish labour market. A total of 4177 respondents were between 18 and 45 years of age. They were followed for 168 months in DREAM, which contains information on all social transfer payments for all citizens in Denmark since mid 1991, including granted disability pension. The type of social transfer payment is reported per week for each person. DREAM includes approximately 3.4 million people and is updated every three months. The weekly information on transfer payments is registered if a person has received any kind of transfer payment for more than one day. It is possible to register only one type of transfer payments in any given week, and if more are obtained, the system will in those cases overwrite the codes when the information is updated. Disability pension though, always has the higher priority.
In the present study we have analysed the determinants measured using the baseline DWECS questionnaire and disability pension data derived from DREAM among the 4177 persons categorized as 18-45 year old employees at baseline.
A disability pension case was defined from onset of receiving disability pension according to DREAM. During the three-year wash-out period from 1991 through 1993, a total of 3 persons where either disability pensioned, emigrated or died. They were excluded from the study, as they were no longer under risk of disability pension in the follow-up period from 1994 through 2004. This left a total of 4174 employees aged 18-45 in 1990 to be under risk for disability pension from 1994 to 2004. These 4174 employees constitute the basis of analysis in this study. To eliminate confounding attributable to sickness absence periods immediately prior to disability pension, the follow-up period for disability pension started 36 months after the assessment period of sickness absence. Hence disability pension cases were identified from 1 January 1994 to 31 December 2004. The 168-month follow-up thus consists of a 36-month wash-out period and a 132-month follow-up of disability pension cases. The study design is shown in Figure 1.
Self-reported sickness absence and future disability pension 1990-2004. Study design.(Click on the image to enlarge.)
Self-reported sickness absence
Sickness absence was measured using one question: 'How many workdays in total have you been sickness absent within the last 12 months?' The variable was divided into quartiles Q1 to Q4. As 35% of the study population reported 0 days of sickness absence per annum, it was not possible to create quartiles of equal size: Q1 included the part of the population with least (0) absence (35% of the population), Q2 included 17% of the population, Q3 23%, and Q4 consisted of the 25% with most absence (see Table 1).
Age, gender and socioeconomic position
The study includes data on gender and baseline age of the individual employee. Based on employment grade, job title, and education respondents were classified into five socio economic position groups; I: executive managers and/or academics, II: middle managers and/or 3-4 years of further education, III: other white collar workers, IV: skilled blue-collar workers, and V: semi-skilled or unskilled workers.
Smoking status was divided into three categories: current smokers, previous smokers and never-smokers.
Body Mass Index (BMI) was calculated by dividing weight in kilograms with squared height in meters and categorized according to the standardized classification of the National Institutes of Health using four categories: underweight (<18.5), normal (18.5-24.9), overweight (25-29.9), and obesity (>30).
Work environment exposures
Physical exposures at work were measured by 4 questions on how much of the time the respondent: had physically strenuous work; worked with arms lifted above the shoulders; lifted burdens heavier than 20 kilograms; or worked in a standing or squatting position. The six response options ranged from 'never' to 'almost all the time'. In the analyses the 4 items were dichotomised with 'never' and 'almost never' as one answer category and the remaining four options as the second answer category.
Psychosocial exposures at work were measured by using 18 items combined into five scales: skill discretion, decision authority, social support, job demands and conflict at work. The five scales were dichotomized around the 75% quartiles. Scale characteristics are described elsewhere .
Logistic regression methods were used to analyse the associations between the risk factors and the outcome variable. The analysis was performed in three stages: initially, analysis was performed to establish the association between days of sickness absence in 1990 and disability pension during follow-up. This first step was controlled for age, gender and socioeconomic position. The second step included the variables measuring health behaviour. The third and final step introduced the psychosocial and physical work environment variables. The Cochran-Armitage trend test was performed in order to test if a gradual increase in sickness absence was associated with increase in risk of disability pension. The SAS procedure PROC GENMOD (SAS version 9.1) was used to perform the logistic regression analyses.
During follow-up, a total of 140 persons (3.4%) received disability pension. Of these, 82 (58.6%) were women, 58 (41.4%) were men. There was an excess risk of future disability pension for the quartile of the population with most absence (more than 6 days per annum) compared to those with no absence, when taking into account gender, age and socioeconomic position. There was no significant effect of gender, whereas there was a significant increase in risk with increasing age. People in socioeconomic positions III, IV and V all had significantly higher risk of future disability pension than those in socioeconomic position (table 1, model I).
The introduction of health behaviour variables into the model did not alter the results of model I. The OR for more than 6 days of absence per annum decreased from 2.77 to 2.68, and remained significant. There was an increased risk of disability pension for people who were smokers at baseline, whereas there was no effect of BMI (table 1, model II).
Introducing the work environment variables explained part of the gradient in disability pension risk between socioeconomic positions. Risk in socioeconomic position V decreased from OR 3.74 to OR 2.76, and the excess risk in socioeconomic position IV was no longer significant. After adjusting for age, gender, socioeconomic position, and physical and psychosocial work environment exposures, the quartile of the employees reporting most absence from work, more than 6 days per annum, had a significantly increased risk of future disability pension (OR = 2.51). Age, socioeconomic position, smoking and high physical demands in work remained significant independent predictors of future disability pension (table 1, model III).
More women than men had sickness absence exceeding 6 days per annum, and more women than men received disability pension during follow-up. The association between <6 days of sickness absence per annum and disability pension was significant for both genders, but was stronger among men (OR=3.13) than among women (OR=2.19) (Table 2).
Additional analysis treating days of sickness absence during 1990 as a continuous variable showed a clear trend of increase in disability pension risk with increase in absence days/yr. A 10-day increase in absence days per annum (scale score ranging from 0-220 days/yr) yielded an increase in disability pension risk of approximately 35% (Cochran-Armitage trend test p<0.0001), also when taking into account various confounders (Table 3).
Odds ratios and 95% CI's for determinants in 1990 for disability pension in 1994-2004 among 4174 employees
|Model I||Model II||Model III|
|Risk factor||Level||N||Cases||OR||95% CI||P||OR||95% CI||P||OR||95% CI||P|
|Days of absence/yr||Q4||>6||1026||58||2.77||1.77-4.33||0.00||2.68||1.70-4.24||0.00||2.51||1.58-3.99||0.00|
|Conflicts at work||High||860||34||1.20||0.78-1.84||0.41|
|Work with arms lifted||Yes||651||29||0.96||0.60-1.54||0.87|
|Lift > 20 kg||Yes||701||36||1.08||0.67-1.73||0.76|
Odds ratios and 95% CI's for levels of sickness absence in 1990 for disability pension in 1994-2004 among 2003 female and 2171 male employees. Adjusted for age, socioeconomic position, health behaviour and work environment.
|Model III, women||Model III, men|
|Risk factor||Level||N||Cases||OR||95% CI||P||N||Cases||OR||95% CI||P|
|Days of absence/yr||Q4||>6||579||35||2.19||1.19-4.03||0.01||447||23||3.13||1.51-6.51||0.00|
Odds ratios and 95% CI's per 10-day increase in days of sickness absence in 1990 for disability pension in 1994-2004 among 4174 employees. Model I adjusted for age, gender, socioeconomic position. Model II further adjusted for health behaviour. Model III further adjusted for work environment.
|Model I||Model II||Model III|
|Risk factor||OR||95% CI||P||OR||95% CI||P||OR||95% CI||P|
|10-day increase in absence/yr||1.35||1.18-1.54||0.00||1.34||1.18-1.54||0.00||1.34||1.16-1.54||0.00|
We found that the quartile of the employees reporting most sickness absence (more than 6 days per annum) to have a risk of future disability pension 2.51 times higher than those reporting no sickness absence, taking into account the effects of age, gender, socioeconomic position, health behaviour, physical and psychosocial work environment.
Comparison with other studies
Sickness absence can be viewed as an integrated measure of physical, psychosocial, and social function and wellbeing [5-7]. As such, sickness absence levels can reflect an increased risk of developing poor physical, psychosocial, or social health, which over time can lead to permanent work disability. In the few studies on sickness absence and future disability, most study populations are relatively homogeneous with regards to jobs and occupations: The Finnish 10-town study was performed among municipal employees , another among blue collar workers in Poland , and thus more homogeneous also with regard to work environment exposures than the working population in general. This will reduce exposure contrast and reduce the generalizability of the results, and the findings may therefore not apply to the general population.
The present study and the study by Gjesdal and Bratberg  are to our knowledge the only two studies on a random sample of the working population.
Disability pensions are rare events, therefore sample size in some previous studies may be too small or a detailed analysis of the association between sickness absence and pension risk. For example, in Borg et al. the study population consisted of 213 individuals. Also due to the low incidence of disability pensioning, the follow-up period is of importance . In the present study the availability of prospective data covering a 14-year period provided sufficient disability pension information for these analyses.
The DWECS/DREAM study provides data from a large representative sample of the Danish working population. Further, selection bias is minimized from the sampling procedure, due to a 90% response rate. However, a source of error could be that non-responders may have had a different work environment or health from those who replied: If we assume non-responders to have poorer health and more sickness absence than responders, this would underestimate the strength of the association between sickness absence and disability pension found in this study. The design utilizes a 36 month wash-out period, thereby avoiding that the disability pension period began immediately after the sickness absence assessment period. Thereby sickness absence does not run directly into a disability pension, which could otherwise seriously inflate observed associations.
Reforms of the Danish disability pension schemes have been performed during the study period in order to restrict access to permanent disability pension. This could imply that the strength of the association between absence and disability pension could vary during the follow-up period: Sickness absence would probably be stronger associated with a disability pension case occurring in the latter part of the follow-up period, than would be the case for a disability pension case occurring in the beginning of the follow-up period.
Most previous studies on disability were based on information on sickness absence from either company- or administratively collected absence data. We used self-reported data on sickness absence which, in contrast to company- or administrative data, is not based on a workplace- or community based infrastructure
Only a few studies have been conducted on the quality of sickness absence measurements used in occupational research [16-22], and based on these studies it seems that self-reported sickness absence data and employer recordings are equally useful when the recall period is under two months. By using employer records, the problem of recall bias is eliminated. Nevertheless, any systematic recording of non-illness related absence as well as sickness absence in the lower occupational grade, or under-recording in the higher occupational grades may introduce another source of bias.
In relation to our study the basic retrospective measure of frequency was used 'How many workdays in total have you been sickness absent within the last 12 months?' According to the majority of the found studies, the recall period is too long, and the possibility of a systematic over- or underestimation of sickness absence is present, most probably a systematic underestimation . However, the question of recall time is an issue when assessing “true” levels of sickness absence. It does not affect the predictive abilities of the self-reported item on sickness absence as a marker of future disability pensioning.
The findings of in the present study indicate that the number of self-reported sickness absence days can be used as a risk marker of future disability pension, and may provide useful information for policy makers, case managing authorities, employers, and physicians responsible for interventions aiming at reducing permanent work disability.
Conflict of interest
The authors have declared that no conflict of interest exists.
1. OECD. Transforming disability into ability: Policies to promote work and income security for disabled people. Paris: OECD Publication Offices. 2003
2. Holzmann R, Hinz R. Old age income support in the 21st century: An international perspective on pension systems and reform. Washington: The World Bank. 2005
3. Stattin M. Retirement on grounds of ill health. Occup Environ Med. 2005;62:135-40
4. Vingård E, Alexanderson K, Norlund A. Consequences of being on sick leave. Scand J Public Health. 2004;32(suppl 63):207-215
5. Kivimäki M, Head J, Ferrie JE, Shipley MJ, Vahtera J, Marmot MG. Sickness absence as a global measure of health: evidence from mortality in the Whitehall II prospective cohort study. BMJ. 2003;327:364
6. Marmot M, Feeney A, Shipley M, North F, Syme SL. Sickness absence as a measure of health status and functioning: from the UK Whitehall II study. J Epidemiol Community Health. 1995;49:124-30
7. Vahtera J, Pentti J, Kivimaki M. Sickness absence as a predictor of mortality among male and female employees. J Epidemiol Community Health. 2004;58:321-6
8. Virtanen M, Kivimaki M, Vahtera J, Elovainio M, Sund R, Virtanen P, Ferrie JE. Sickness absence as a risk factor for job termination, unemployment, and disability pension among temporary and permanent employees. Occup Environ Med. 2006;63(3):212-7
9. Kivimäki M, Forma P, Wikström J, Halmeenmäki T, Pentti J, Elovainio M. et al. Sickness absence as a risk marker of future disability pension: the 10-town study. J Epidemiol Community Health. 2004;58:710-711
10. Gjesdal S, Bratberg E. Diagnosis and duration of sickness absence as predictors for disability pension: results from a three-year, multi-register based and prospective study. Scand J Public Health. 2003;31:246-54
11. Szubert Z, Sobala W. Current determinants of early retirement among blue collar workers in Poland. Int J Occup Environ Health. 2005;18:177-184
12. Brun C, Boggild H, Eshoj P. Socioeconomic risk indicators for disability pension within the Danish workforce. A registry-based cohort study of the period 1994-1998. Ugeskr Laeger. 2003;165:3315-9
13. Borg K, Hensing G, Alexanderson K. Predictive factors for disability pension--an 11-year follow up of young persons on sick leave due to neck, shoulder, or back diagnoses. Scand J Public Health. 2001;29:104-12
14. Lund T, Labriola M, Christensen KB, Bultmann U, Villadsen E. Physical work environment risk factors for long term sickness absence: prospective findings among a cohort of 5357 employees in Denmark. BMJ. 2006;332(7539):449-52
15. Borg V, Kristensen TS, Burr H. Work environment and changes in self-rated health: a five year follow-up study. Stress Med. 2000;16:37-47
16. Ferrie JE, Kivimaki M, Head J, Shipley MJ, Vahtera J, Marmot MG. A comparison of self-reported sickness absence with absence recorded in employers' registers: evidence from the Whitehall II study. Occup Environ Med. 2005;62(2):74-9
17. van Poppel MN, De Vet HC, Koes BW, Smid T, Bouter LM. Measuring sick leave: a comparison of self-reported data on sick leave and data from employer records. Occup Med (Lond). 2002;52:485-490
18. Severens JL, Mulder J, Laheij RJ, Verbeek AL. Precision and accuracy in measuring absence from work as a basis for calculating productivity costs in The Netherlands. Social Sci Med. 2000;51:243-349
19. Fredriksson K, Toomingas A, Torgen M, Thorbjornsson CB, Kilbom A. Validity and reliability of self-reported retrospectively collected data on sick leave related to musculoskeletal diseases. Scand J Work Environ Health. 1998;24:425-431
20. Burdorf A, Post W, Bruggeling T. Reliability of a questionnaire on sickness absence with specific attention to absence due to back pain and respiratory complaints. Occup Environ Med. 1996;53:58-62
21. Bertera RL. The effects of behavioural risks on absenteeism and health-care costs in the workplace. J Occup Med. 1991;33:1119-1124
22. Agius RM, Lloyd MH, Campbell S, Hutchison P, Seaton A, Soutar CA. Questionnaire for the identification of back pain for epidemiological purposes. Occup Environ Med. 1994;51:756-760
Correspondence to: Merete Labriola, Tel: (+45) 3916 5200; fax: (+45) 3916 5201. E-Mail: mladk