Phlebologie 2019; 48(02): 103-111
DOI: 10.1055/a-0852-0088
Originalartikel
© Georg Thieme Verlag KG Stuttgart · New York

Age- and occupation-dependent differences in sick leave due to varicose veins in the lower extremities

Article in several languages: deutsch | English
Claudia Brendler
1   Bundesanstalt für Arbeitsschutz und Arbeitsmedizin, Berlin
2   Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health
,
Falk Liebers
1   Bundesanstalt für Arbeitsschutz und Arbeitsmedizin, Berlin
,
Jacqueline Müller-Nordhorn
2   Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health
3   Bayerisches Krebsregister, Landesamt für Gesundheit und Lebensmittelsicherheit
,
Ute Latza
1   Bundesanstalt für Arbeitsschutz und Arbeitsmedizin, Berlin
2   Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health
› Author Affiliations
Further Information

Korrespondenzadresse / Correspondence

Claudia Brendler, MPH
Bundesanstalt für Arbeitsschutz und Arbeitsmedizin (BAuA)
Nöldnerstraße 40/42
10317 Berlin
Phone: + 49 30 51548 4230   

Publication History

08 May 2018

02 August 2018

Publication Date:
10 April 2019 (online)

 

Abstract

Aim/Background Sick leave caused by venous diseases occurs frequently. The occurrence of such sick leave events depends on occupational requirements. The aim is to clarify whether occupation specific differences in the incidence of sick leave events due to the ICD-diagnosis “varicose veins of lower extremities” vary depending on age.

Methods The study is based on secondary analysis of sick leave data from almost all German statutory health insurance providers in 2008. The database consists of sex-stratified aggregated data of 26.2 million compulsorily insured. The number of sick leave events stratified by sex and age were calculated. Indirectly standardized morbidity ratios for the events of sick leave stratified by age and occupational group were estimated.

Results Employees in manufacturing occupations with lower and medium skill level are especially often on sick leave because of varicose veins. In both genders, we found in all age groups at least one and a half as many sickness absences cases of varicose veins as in qualified sales and administrative occupations (reference group). In the age group of 33–44 year olds, employees in the lower qualified administrative occupations were one and a half time on sick leave as in the reference group. Variations of effects due to age were found.

Discussion/Conclusion As more elderly employees are to be expected in the future (postponement of retirement, improved medical care, increases in the share of older people among gainfully employed persons prevention in the workplace should be strengthened (also in the context of preventive health care). A specific emphasis should be laid on production occupations and low skilled occupations.


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Background and research question

Background

Cardiovascular diseases (CVD) account for a large proportion of morbidity and mortality in industrialised countries [1]. In Germany they are responsible for approx. 40 % of all deaths, approx. 15 % of hospital cases and the highest costs in the healthcare sector [2], [3]. It is often only the economic impact of diseases of the heart and arterial vessels that is considered. However, the socioeconomic importance of diseases of the veins and lymphatic system is also considerable. These diseases account for approx.  5 % of the sickness costs of CVD, almost as much as myocardial infarctions [4]. Almost one-third is caused by varicose veins of the lower extremities, coded as I83 in ICD 10. The importance of vascular diseases – and venous diseases in particular – for the workforce has not been researched sufficiently.

This paper presents a descriptive analysis, based on the sick leave data of the German statutory health insurance providers from the year 2008, of occupation-related differences in the occurrence of sickness absence due to varicose veins of the legs, controlled for age and stratified for age.


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Importance

Varicose veins are a frequent treatment diagnosis in general practice (rank 14) [5]. Varicose veins are a chronic disease that can lead to sickness absence as well as early retirement. They cause approx. 8 % of all sick leave events and days lost through sickness due to CVD [6]. Not all patients have clinically relevant symptoms. If left untreated, varicose veins often lead to complications such as chronic oedema, trophic skin changes, venous leg ulcer, deep venous incompetence, inflammation and an increased risk of thrombosis.

Operations on epifascial veins are some of the most common surgical procedures in Germany. It is estimated that every year more than 350,000 operations are performed for varicose veins [7]. In 2015, there was a total of approx 93,000 full inpatient hospital admissions because of varicose veins (approx. 34,000 men and 59,000 women) and 140,000 full inpatient surgeries (approx. 49,000 men and 91,000 women). The number of cases increases continually with age. The age-specific number of cases rises from 50 cases per 100,000 inhabitants among 15- to 44-year-olds to 162 cases per 100,000 inhabitants among 45- to 64-year-olds [8].


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Frequencies

Varicose veins of the lower extremities are the most common disease of the veins. Depending on the definition and the population investigated, the reported frequencies differ widely. In population-based studies, the prevalence is quoted as between 14 % and 30 % [9], [10], [11]. In 2015, there were more than 94,000 cases of sickness absence due to varicose veins, nearly 60,000 among women and more than 34,000 among men [6].

Data from Germany about the effect on the ability to work are so far limited to the Tübinger Vein study of 1979. About 5 % of patients with varicose veins suffered severe restrictions at work. 45 % of these patients were absent from work for at least six weeks and 55 % had to change their job, retrain or give up work completely [12]. For 2015, the pension insurance reported 58 retirements per 100,000 insured persons because of reduced ability to work caused by varicose veins [13].


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Risk factors

The formation of varicose veins is a multifactorial event. Widely recognised risk factors are age, female gender and the combination of genetic disposition with mechanical factors such as prolonged standing, obesity or pregnancies. Other general influences, such as social status, the intake of oral contraceptives, low physical activity, chronic constipation, increased height and weight, arthritis as well as alcohol consumption and smoking, are being discussed to some extent controversially. Associations with diseases of the arterial vascular system, such as hypertension and arteriosclerosis have also been described [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24].

The history of medicine has long recognised – and epidemiological studies have demonstrated – the connection between prolonged standing at the workplace (more than 4 hours) and the occurrence of varicose veins. Although not all authors agree, the connection has been confirmed in many recent investigations [10], [11], [17], [22], [26], [27]. Predominantly sedentary activities have been variously described as a possible risk [17], without effect [22] or protective [19]. Individual studies have reported other occupational risk factors such as the occupational status as a manual worker [11], heavy lifting and carrying [28], [29], working in closed rooms [29] and occupational exposure to heat and humidity [30].

The Federal Institute for Vocational Education and Training (BIBB) in cooperation with the Federal Institute for Occupational Safety and Health (BAuA) regularly conducts the BIBB/BAuA employment survey. In the 2012 survey [31], employees (men and women) who often have to stand, reported complaints due to swollen legs twice as often as those who never had to stand (13.5 % vs. 6.6 %). Pain in the legs and feet were reported five times more frequently (29.2 % vs. 5.9 %) (our own calculations). Overall, women complained of symptoms in the legs more often than men.


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Research question

Due to demographic trends and the statutory postponement of the retirement age until 67, sick leave due to varicose veins is likely to increase, since they occur increasingly with age. Because the requirements imposed by jobs differ, it is important to know the occupation-dependent association between age and sickness abscence.

In the regularly published statistics of the health insurance providers and the Federal Government about persons insured through statutory schemes, cases of sick leave and days lost due to sickness for both sexes are aggegrated according to diagnosis – as well as also sometimes due to age or occupational group [6]. Previous analyses of sickness absence due to varicose veins of the legs have not considered either occupation or dependency of age for the occurrence of sick leave due to varicose veins.

This paper examines the occurrence of cases of sick leave due to “varicose veins of the lower extremities” (I83) between different occupational groups. Age-dependent and occupation-dependent patterns are investigated. It is assumed that the standardised morbidity ratio (SMR) in the affected occupational groups is increased, especially in the young to middle-aged classes and that there is an approximation to the reference group with age, because varicose veins at a young age are less common and a healthy worker effect is likely in older persons.

The results are described separately for men and women.


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Methods

Basis of the data

The analysis presented in this paper was part of a research project of the BAuA (F2255) using secondary data [32]. This project used aggregated data from almost all German statutory health insurance providers (GKV) about sick leave in Germany for the calendar year 2008. Information was obtained from the insurance companies: AOK, BKK, IKK, BARMER, TK, DAK, GEK and the Knappschaft for a total of 26.2 million insured employees. The data was transferred as five age groups from 15 to 64 years.

The number of sick leave events and days lost due to sickness caused by the 22 most common CVD diagnosis (Chapter IX, ICD-10) [33] including the diagnosis I83 Varicose veins of the lower extremities were available separately for both sexes.

The dataset, with a total of 13.7 million men and 12.5 million women, is an almost complete picture of the workforce compulsorily insured with the GKV in 2008. The age range of 35–44 years (3.6 million men and 3.2 million women) has the largest share of workforce, whilst those aged between 55 and 64 years (1.6 million men, 1.5 million women) have the least share ([ Table 1 ]).

Table 1

Number of cases and days of sick leave events due to “Varicose veins of the lower extremities”, stratified according to sex and age (5 age groups), Germany 2008.

Men

Women

Age (years)

Number insured

Sick leave cases

Cases/1,000 insured

Days off sick

Days/case

Number insured

Sick leave cases

Cases/1,000 insured

Days off sick

Days/case

15 to 24

2,155,260

725

0.34

8,756

12.1

1,777,943

1,091

0.61

12,000

11.0

25 to 34

3,149,471

3,040

0.97

46,245

15.2

2,695,645

5,025

1.86

64,908

12.9

35 to 44

3,575,320

7,992

2.24

137,167

17.2

3,195,389

14,674

4.59

219,886

15.0

45 to 54

3,214,339

11,732

3.65

214,517

18.3

3,237,518

20,873

6.45

346,474

16.6

55 to 64

1,635,679

8,798

5.38

180,811

20.6

1,539,247

13,279

8.63

253,799

19.1

Total

13,730,069

32,287

2.35

587,496

18.2

12,445,742

54,942

4.41

897,067

16.3


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Data analysis

Information about occupation was coded with a three digit number according to the German classification of occupations [34]. The occupational groups were formed corresponding to the Blossfeld Classification [35]. This then classifies the 336 occupations into 12 occupational groups corresponding to skill level and job requirements. [ Table 2 ] and [ Table 3 ] list the information about the group size for men and women. A more detailed description can be found in Liebers et al. 2016 [32].

Table 2

Standardised morbidity ratio with 99.99 % confidence interval (CI) of age- and occupation-specific sickness absence due to the diagnosis “Varicose veins of the lower extremities” compulsorily insured of employees in Germany 2008, men. Standardised for the statutory health insurance providers.

Insured

Standardised morbidity ratio [99.99 % CI]

Occupational group according to Blossfeld 1985

15–24 years

25–34 years

35–44 years

45–54 years

55–64 years

Total

Skilled manual occupations

3,538,972

1.21
[0.96–1.49]

1.94
[1.71–2.20]

1.74
[1.61–1.88]

1.60
[1.50–1.71]

1.50
[1.39–1.61]

1.61
[1.55–1.68]

Low-skilled manual occupations

2,951,981

1.19
[0.84–1.61]

1.97
[1.72–2.25]

1.77
[1.63–1.92]

1.52
[1.42–1.62]

1.55
[1.43–1.68]

1.61
[1.55–1.68]

Low-skilled administrative occupations

542,660

1.08
[0.48–2.04]

1.20
[0.82–1.70]

1.47
[1.18–1.82]

1.20
[0.97–1.47]

1.11
[0.86–1.41]

1.24
[1.10–1.40]

Low-skilled service sector occupations

2,333,934

1.29
[0.80–1.96]

1.70
[1.43–2.01]

1.18
[1.06–1.31]

1.15
[1.06–1.25]

1.11
[1.01–1.21]

1.18
[1.12–1.24]

Skilled service sector occupations

318,130

0.58
[0.08–1.97]

1.25
[0.74–1.96]

1.12
[0.81–1.51]

1.17
[0.90–1.49]

1.19
[0.87–1.59]

1.16
[0.99–1.34]

Agricultural occupations

309,992

1.12
[0.40–2.41]

1.47
[0.83–2.38]

1.34
[0.98–1.77]

1.06
[0.81–1.35]

1.03
[0.75–1.38]

1.15
[0.98–1.33]

Technicians

667,643

0.35
[0.03–1.27]

1.08
[0.70–1.57]

1.39
[1.14–1.68]

1.05
[0.88–1.25]

0.97
[0.79–1.17]

1.09
[0.99–1.21]

Semiprofessionals

404,730

1.11
[0.34–2.60]

1.40
[0.89–2.10]

1.24
[0.94–1.60]

0.93
[0.72–1.17]

1.07
[0.81–1.38]

1.08
[0.94–1.24]

Managers

221,965

1.27
[0.05–5.83]

0.76
[0.34–1.42]

0.56
[0.31–0.92]

0.90
[0.62–1.27]

0.93
[0.65–1.29]

0.82
[0.66–1.01]

Engineers

331,193

0.79
[0.01–4.35]

0.60
[0.32–1.01]

0.70
[0.46–1.01]

0.83
[0.57–1.15]

0.82
[0.56–1.15]

0.76
[0.62–0.91]

Professionals

133,762

0.00
[0.00–0.00]

0.29
[0.07–0.76]

0.50
[0.20–1.00]

0.65
[0.30–1.22]

1.05
[0.53–1.84]

0.61
[0.41–0.86]

Unclassifiable

345,331

0.74
[0.37–1.29]

1.03
[0.53–1.80]

0.81
[0.46–1.31]

0.74
[0.47–1.09]

0.42
[0.21–0.74]

0.70
[0.55–0.88]

Skilled administrative occupations

1,636,398

1
(reference)

1
(reference)

1
(reference)

1
(reference)

1
(reference)

1
(reference)

Sick leave events/10,000 in reference (raw)

3

6

14

26

37

15

Table 3

Standardised morbidity ratio with 99.99 % confidence interval (CI) of age- and occupation-specific sickness absence due to the diagnosis “Varicose veins of the lower extremities” compulsorily insured of employees in Germany 2008, women. Standardised for the statutory health insurance providers.

Insured

Standardised morbidity ratio [99.99 % CI]

Occupational group according to Blossfeld 1985

15–24 years

25–34 years

35–44 years

45–54 years

55–64 years

Total

Skilled manual occupations

482,647

1.29
[0.77–2.01]

2.16
[1.70–2.70]

1.72
[1.49–1.96]

1.68
[1.50–1.87]

1.74
[1.53–1.97]

1.73
[1.61–1.84]

Low-skilled manual occupations

842,681

1.04
[0.59–1.66]

1.91
[1.56–2.31]

1.52
[1.37–1.68]

1.44
[1.33–1.56]

1.54
[1.40–1.70]

1.51
[1.43–1.58]

Low-skilled administrative occupations

1,719,310

1.25
[0.92–1.66]

1.62
[1.40–1.85]

1.47
[1.36–1.58]

1.31
[1.22–1.40]

1.38
[1.27–1.50]

1.39
[1.34–1.45]

Low-skilled service sector occupations

1,448,912

1.21
[0.83–1.69]

1.60
[1.35–1.87]

1.34
[1.23–1.46]

1.30
[1.22–1.39]

1.39
[1.29–1.50]

1.35
[1.30–1.41]

Skilled service sector occupations

1,282,075

1.30
[0.99–1.67]

1.27
[1.08–1.48]

1.23
[1.10–1.37]

1.20
[1.09–1.32]

1.25
[1.10–1.42]

1.23
[1.16–1.30]

Agricultural occupations

130,253

0.60
[0.12–1.71]

1.34
[0.76–2.18]

1.19
[0.86–1.59]

1.19
[0.89–1.55]

1.24
[0.84–1.77]

1.19
[1.0–1.40]]

Technicians

358,308

0.84
[0.29–1.84]

1.48
[1.08–1.96]

1.13
[0.93–1.36]

1.08
[0.91–1.28]

1.16
[0.92–1.45]

1.15
[1.03–1.27]

Semiprofessionals

1,851,860

0.99
[0.69–1.37]

1.34
[1.16–1.53]

1.27
[1.17–1.38]

1.20
[1.12–1.28]

1.24
[1.13–1.36]

1.23
[1.18–1.29]

Managers

245,286

0.61
[0.10–1.94]

0.68
[0.43–1.03]

0.70
[0.51–0.93]

0.83
[0.63–1.06]

1.00
[0.72–1.35]

0.80
[0.68–0.93]

Engineers

107,437

0.45
[0.00–5.59]

0.94
[0.54–1.52]

0.61
[0.37–0.94]

0.84
[0.52–1.27]

0.78
[0.34–1.50]

0.77
[0.59–0.97]

Professionals

223,620

0.57
[0.00–4.16]

0.60
[0.38–0.91]

0.74
[0.54–0.98]

0.81
[0.59–1.07]

0.88
[0.57–1.29]

0.75
[0.63–0.89]

Unclassifiable

249,508

0.71
[0.38–1.20]

0.70
[0.38–1.18]

0.53
[0.32–0.81]

0.61
[0.40–0.89]

0.60
[0.32–1.03]

0.62
[0.49–0.76]

Skilled administrative occupations

3,509,418

1
(reference)

1
(reference)

1
(reference)

1
(reference)

1
(reference)

1
(reference)

Sick leave events/10,000 in reference (raw)

5

14

37

52

63

34

Only the results for cases of sick leave events are shown in this paper. For information on relative frequencies, the number of sick leave events per diagnosis took into account the number of insured per age group and occupation (or occupational group). SMRs as the ratio of observed to expected number were calculated as the effect estimator. The SMR is interpreted as relative risk.

  • The general occupational group-specific SMR is standardised indirectly. Age and insurance scheme membership were controlled for. All calculations were stratified for sex. The reference group for the analysis were office workers and skilled sales and administrative occupations respectively. The choice was based on the high number of such employees of both sexes and the relatively limited physical strains and stresses.

  • To calculate any change in the occupation-specific SMR with age, the calculation was always made for subjects of an occupational group within one of the five age groups compared to subjects in the reference occupational group of the same age group. In this case, the indirect standardisation only took into account the insurance scheme membership.

Exact confidence intervals (CI) were calculated for the SMR. Enlarged 99.99 % CI were used because of the multiple testing. Effect estimators with a CI of the SMR that did not include 1 were assessed as significant.

Only information on sex, age group and health insurance provider could be taken into account as covariables in the calculation. Other information such as socioeconomic status, income, education, constitution or disposition was not available.

FThe relational database Microsoft Access 2003 was used for data management and statistical analyses.


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Results

Age-specific sick leave events

In 2008, 87,229 sick leave events due to varicose veins of the legs were observed in employees aged 15 to 64 years. In the men, 32,287 sick leave events (2.1/1,000 employees) led to 587,496 days lost due to sickness (42.8/1,000 employees). In the women, the 54,942 sick leave events (4.1/1,000 employees) led to 897,067 days lost due to sickness (72.1/1,000 employees). The average duration of sick leave was 18.2 days among men and 16.3 days among women. Both men and women showed an age-dependent increase in sick leave. Similarly, the absolute number of sick leave events increased in both sexes with age (see [ Table 1 ]). More details can be found in Liebers 2016 [32].


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Occupation-specific sick leave

Compared to the reference group, more sick leave events due to varicose veins occurred in workers in skilled manual occupations (♂ SMR 1.61; CI: [1.55–1.68] and ♀ SMR 1.73 [1.61–1.84]), in low-skilled manual occupations (♂ SMR 1.61 [1.55–1.68] and ♀ SMR 1.51 [1.43–1.58]), in low-skilled administrative occupations (♂ SMR 1.24 [1.10–1.40] and ♀ SMR 1.39 [1.34–1.45]) and in low-skilled service sector jobs (♂ SMR 1,18 [1.12–1.24] and ♀ SMR 1.35 [1.30–1.41]). Among women – but not among men – more varicose vein-related sick leave events also occurred in semi-professional occupations [ 1 ] (SMR 1.23 [1.18–1.29]), the skilled service sector occupations (SMR 1.23 [1.16–1.30]), agricultural occupations (SMR 1.19 [1.00–1.40]) and technicians (SMR 1.15 [1.03–1.27]) than in the reference group (see [ Table 2 ] and [ Table 3 ]). The following age-dependent investigations were carried out for the occupational groups mentioned here.

For both sexes it could be confirmed that some specific occupations from the groups of manual occupations and low-skilled service sector and administration occupations had an increased risk. With 2 or 3 times higher numbers of sick leave events per 1,000 insured than in office workers, both men and women in the following occupations were particularly affected: pastry cooks (SMR ♂ 3.08 and ♀ 2.74), bakery workers (SMR ♂ 2.77; ♀ 2.21) and plastics processors (SMR ♂ 1.94; ♀ 1.95). Results were not shown, for details see Liebers et al. 2016 [32].


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Age- and occupation-specific sick leave

In all occupational groups, the frequency of occurrence of cases of sick leave due to the ICD-10 diagnosis I83 increased with age.

Across all occupational groups and in both sexes, there were very few sick leave events in 15–24 year olds. No occupational group showed significantly more sick leave events than the reference group.

Among the three age groups from 25 to 54 years, there were consistently significantly more sick leave events among men in skilled and low-skilled manual occupations and in low-skilled service sector occupations, corresponding to the results of the age-independent investigation. The high numbers in the age range 25- to 34-year-olds in these occupational groups compared to the reference group were noteworthy. In the highest age group (55 to 64 years) there continued to be significantly more sick leave events among manual workers than in the reference group. In the other occupational groups, the risk approached that of the skilled administrative occupations (reference). Among the low-skilled sales and administrative occupations, there were significantly more sick leave events than in the reference group only in the middle age group (35 to 44 years) (see [ Fig. 1 ]).

Zoom Image
Fig. 1 Standard morbidity ratio (SMR) among men of various age groups for the occurrence of sick leave events due to varicose veins of the lower extremities for occupational groups with an age-independent increased number of sick leave events compared to aged-matched ­employees in skilled sales and administrative occupations (reference)

In women, as with the age-independent results, the age groups above 25 years showed significantly more cases of sick leave for skilled and low-skilled manual occupations, skilled and low-skilled service sector occupations, semiprofessional jobs, low-skilled administrative occupations and technicians than in the reference group (see [ Fig. 2 ]).

Zoom Image
Fig. 2 Standard morbidity ratio (SMR) among women of various age groups for the occurrence of sick leave events due to varicose veins of the lower extremities for occupational groups with an age-independent increased number of sick leave events compared to aged-matched employees in skilled sales and administrative occupations (reference)

Most cases of sick leave in the oldest age group occurred – as among men – in the manual occupations and additionally in the low-skilled service sector and administrative occupations. Notably (as also among men) there were relatively many sick leave events in the age group 25- to 34-year-olds in manual jobs, the low-skilled service sector occupations and also in the low-skilled administrative occupations compared to the occupational groups of the skilled sales and administrative occupations. Semiprofessional jobs, skilled service sector occupations and technicians also had more sick leave events in this age group than in the reference group. Despite a relative reduction, the risk of sick leave events due to varicose veins also continued to be higher with age compared to the reference group. In the agricultural occupations, no age group showed a significantly different result compared to the reference group (not illustrated).

Due to the low cell frequency, it was not possible to undertake a differentiated analysis of the five age groups relative to the individual occupations.


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Discussion

Summary of results

The occupation-related analysis of sick leave data provides information predominantly about the extent of the social impact on those affected in different occupations and occupational groups. Many occupations can be easily carried out despite varicose veins, whereas in others, depending on the tasks involved, the ability to perform them is limited. If employees are no longer able to undertake their work because of the symptoms or only under their further deterioration, then this results in sick leave being taken. In common with other CVD, varicose veins can lead to long sickness absence or even exit from work [12].

The analysis of the occupation- and age-dependent occurrence of sick leave due to varicose veins of the lower extremities was carried out with aggregated secondary data. Since the analysis covered approx. 90 % of the working population with compulsorily statutory health insurance, the data can be regarded as representative. As expected, the selected diagnosis showed a marked absolute and relative increase in sick leave events with age. This corresponds to the already available results on other CVD diagnosis [36]. Although only minor differences in the frequency of varicose veins between the sexes are known in adolescents and young adults [37], more cases of sick leave occurred among women than among men even in the youngest age group. The occupational groups of skilled and low-skilled manual jobs, low-skilled service sector occupations and low-skilled sales and administrative occupations showed increased risks of the occurrence of sick leave for both sexes irrespective of age. Among women, this increase was also seen in semiprofessional occupations, skilled service sector jobs, agricultural work and among technicians.

Varicose veins constitute a chronic, progressive disease, which –along with its sequelae – occurs less often in the young. Due to the short time in the job, it can be assumed that the occupation-related increased risk of the disease and of sick leave is low. The relative frequency of varicose veins increases with age. The accumulated physical stresses and strains over the course of a working life can lead to a further increase in the relative frequency of sick leave events among employees. The stratification of the analysis according to age groups provides a differentiated picture of the impact caused by sick leave.

Due to the low number of cases and in the youngest age group, the estimated values for almost all occupational groups are imprecise. There was a marked increase in sick leave events for almost all occupational groups compared to the skilled sales and administrative jobs from the age group 15–24 years to the 25–34 years age group.

This has already been observed among men in studies of other diseases (myocardial infarction, back pain and arthritis of the knee). No such increase was found among women with these diagnoses. In the case of arterial hypertension, this applied to both sexes [36], [38].

The risk of becoming unfit to work due to varicose veins was relatively constant from the age of 35 upwards. Existing differences between the occupational groups did not change. However, those engaged in manual occupations also showed the highest number of cases of sick leave in the oldest age groups.


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Limitations

The results of the age-related analysis are based on cross-sectional data and do not constitute a long-term observation of a cohort [39]. No causal interpretation between occupational exposure and disease is possible. Apart from age, sex and insurance company membership, no other influencing factors could be considered. Socioeconomic status and lifestyle factors could be regarded as possible confounders.

The analysis was based on aggregated, not person-related sick leave data. No conclusions can be drawn from the number of sick leave events to the number of insured persons affected, because several sick leave events per insured person per year could occur. For a more detailed interpretation of the study results, the reader is referred to the discussion of limitations in the available literature [32] about the occupation as a surrogate for work-related and non-occupational risks and the possibilities of misclassification in the occupational coding.

One of the reasons for the marked increase in risk in the 25- to 34-year-olds is the relatively few cases of sick leave in the comparator group in this age range. It is possible that the occurrence of varicose veins at this age is equally distributed among the occupational groups, but sick leave only occurs in workers in the occupational groups under particular risk become unable to work because of this diagnosis. It is also possible that the varicose veins occur earlier in these occupational groups and therefore lead to sick leave being taken even in this relatively young age group. In the older groups, it can be assumed that long years of standing activities, for example, cause more varicose veins and complications [27].

Healthy worker effects should also be considered. Employees who suffer from varicose veins even in their youth, will less often take up or remain in occupations with additional risk factors – in particular standing for long periods.

The available data do not permit any conclusions to be drawn about the cause (outpatient or inpatient treatment, surgical or conservative therapy) of the sick leave. With more than 75,000 inpatient operations in the 15 to 64 years age group [8] and probably just as many outpatient operations [7], it can be assumed that many sick leave events result from surgical procedures.


#

Conclusions

The results of the analysis show that, based on the frequency of sick leave in the working population, the diagnosis of varicose veins of the lower extremities is a significant health and economic factor. Although varicose veins are not a serious disease, they have a high public health relevance. During the course of their lives, the majority of the population suffer from varicose veins that can cause symptoms as well as economic loss. This analysis expands know­ledge about the current age- and occupation-related frequencies of a single diagnosis that have not been reported in this way before. It underlines the need for action regarding prevention (primary and secondary) and work design as well as the need for research.

It is assumed that due to the higher prevalence of risk factors (obesity, lack of exercise), the known increase in sick leave due to CVD with age will tend to affect the young of today to an even greater extent [40]. Varicose veins as the direct or indirect (e. g. complications such as venous leg ulcer) cause of sick leave increase markedly with age. Since there is likely to be a significant rise in the number of older employees in the future [41], suitable primary and also secondary preventative measures should be used to try to prevent an increase in sick leave due to varicose veins in the working population. It remains to be seen how far operational measures in the workplace with other aims – such as the reduction in physical underexercise at the workplace through the introduction and introductioin of work stations requiring the employees to work standing – has an impact with regard to the development of varicose veins of the lower extremities.

Varicose veins are an above-average cause of sick leave in manual occupations of the manufacturing and service sector industries in which standing work is characteristic. Occupation-specific preventative approaches, e. g. through the reduction in prolonged standing, or early detection as part of occupational medical screening, should be established even earlier in some cases. These measures should be aimed not only at behavioural prevention, but also at structural (enviromental and organisational) prevention, i. e. redesigning working conditions.

Ethics committee, consent

The consultation of an ethics committee is not required for analyzes based solely on secondary data. (According to: Good Practice Secondary Data Analysis [GPS], Guidelines and Recommendations, 3 rd edition 2012, slightly modified 2014).

Only aggregated data was transmitted and evaluated. Conclusions/references to individuals are not possible. Therefore, no declarations of consent are required.


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#

Interessenkonflikt / Conflict of interest

Die Autoren geben an, dass kein Interessenkonflikt besteht.

The authors declare that they have no conflict of interest.

1 Semiprofessional: service sector occupations characterised by the need for advanced knowledge and skills, e. g. nurses, social workers, social education workers, primary (elementary) and secondary school teachers in contrast to the professions: liberal professions and highly qualified service professions, e. g. doctors, dentists, pharmacists, lawyers, grammar school teachers, social scientists and humanities graduates


  • Literatur / References

  • 1 Gyberg V, Ryden L. Policymakers’ perceptions of cardiovascular health in Europe. Eur J Cardiovasc Prev Rehabil 2011; 18 (05) 745-53
  • 2 Böhm K. Gesundheit und soziale Sicherung. In: Statistisches Bundesamt (Destatis), Wissenschaftszentrum Berlin für Sozialforschung (WZB). Hrsg. Datenreport 2016. 1. Auflage.. Bonn: Bundeszentrale für politische Bildung (bpb); 2016: 273-339
  • 3 Robert Koch-Institut. Hrsg. Wie steht es um unsere Gesundheit. In: Gesundheit in Deutschland – Gesundheitsberichterstattung des Bundes. Berlin: H. Hennemann GmbH; 2015: 18-144
  • 4 Statistisches Bundesamt (Destatis). Gesundheit: Krankheitskosten 2015 Fachserie 12. 2017 Im Internet: https://www.destatis.de/DE/Publikationen/Thematisch/Gesundheit/Krankheitskosten/KrankheitskostenJahr2120721159004.pdf? Stand: 02.05.2018
  • 5 Zentralinstitut für die kassenärztliche Versorgung (ZI). Die 50 häufigsten ICD-10-Schlüsselnummern nach Fachgruppen Jahr 2015. 2016 Im Internet: https://www.zi.de/cms/fileadmin/images/content/PDFs_alle/Die_50_häufigsten_ICD-2015.pdf Stand: 02.05.2018
  • 6 Bundesministerium für Gesundheit. Arbeitsunfähigkeit: Fälle und Tage nach Diagnosen 2015. 2015 Im Internet: https://www.bundesgesundheitsministerium.de/fileadmin/Dateien/3_Downloads/Statistiken/GKV/Geschaeftsergebnisse/AU_Faelle_nach_Diagnosen_2015.pdf Stand: 02.05.2018
  • 7 Nüllen H, Noppeney T. Sozialmedizinische und ökonomische Aspekte der Varikose. In: Noppeney T, Nüllen H. Hrsg. Varikose: Diagnostik – Therapie – Begutachtung. 1. Auflage.. Berlin: Springer; 2010: 61-66
  • 8 Statistisches Bundesamt (Destatis). Gesundheit: Tiefgegliederte Diagnosedaten der Krankenhauspatientinnen und –patienten 2015. 2016 Im Internet: https://www.destatis.de/DE/Publikationen/Thematisch/Gesundheit/Krankenhaeuser/TiefgegliederteDiagnosedaten.html Stand: 02.05.2018
  • 9 Rabe E, Pannier F. Epidemiologie chronischer Venen. In: Noppeney T, Nüllen H. Hrsg. Varikose: Diagnostik – Therapie – Begutachtung. 1. Auflage.. Berlin: Springer; 2010: 37-43
  • 10 Dimakakos E, Syrigos K, Scliros E. et al. Prevalence, risk and aggravating factors of chronic venous disease: an epidemiological survey of the general population of Greece. Phlebology 2013; 28 (04) 184-90
  • 11 Bihari I, Tornoci L, Bihari P. Epidemiological study on varicose veins in Budapest. Phlebology 2012; 27 (02) 77-81
  • 12 Fischer H. Hrsg. Venenleiden: eine repräsentative Untersuchung in der Bevölkerung der Bundesrepublik Deutschland (Tübinger Studie). 1. Auflage.. München: Urban & Schwarzenberg; 1981: XI
  • 13 Rentenzugänge wegen verminderter Erwerbsfähigkeit (Primärquelle: Deutsche Rentenversicherung Bund (DRV Bund), Statistik des Rentenzugangs. 2016 Im Internet: www.gbe-bund.de (Stichwortrecherche: Rentenzugang Varizen); Stand: 02.05.2018
  • 14 Rabe E. Bonner Venenstudie der Deutschen Gesellschaft für Phlebologie. Phlebologie 2003; 32 (01) 1-14
  • 15 Brand FN, Dannenberg AL, Abbott RD. et al. The epidemiology of varicose veins: the Framingham Study. Am J Prev Med 1988; 4 (02) 96-101
  • 16 Ebrahimi H, Amanpour F, Bolbol Haghighi N. Prevalence and risk factors of varicose veins among female hairdressers: a cross sectional study in north-east of Iran. J Res Health Sci 2015; 1 (02) 119-123
  • 17 Kroeger K, Ose C, Rudofsky G. et al. Risk factors for varicose veins. Int Angiol 2004; 23 (01) 29-34
  • 18 Jawien A. The influence of environmental factors in chronic venous insufficiency. Angiology 2003; 54 (Suppl. 01) 19-31
  • 19 Lee AJ, Evans CJ, Allan PL. et al. Lifestyle factors and the risk of varicose veins: Edinburgh Vein Study. J Clin Epidemiol 2003; 56 (02) 171-179
  • 20 Carpentier PH, Maricq HR, Biro C. et al. Risk factors, and clinical patterns of chronic venous disorders of lower limbs: a population-based study in France. J Vasc Surg 2004; 40 (04) 650-659
  • 21 Laurikka JO, Sisto T, Tarkka MR. et al. Risk indicators for varicose veins in forty- to sixty-year-olds in the Tampere varicose vein study. World J Surg 2002; 26 (06) 648-651
  • 22 Sisto T, Reunanen A, Laurikka J. et al. Prevalence and risk factors of varicose veins in lower extremities: mini-Finland health survey. Eur J Surg 1995; 161 (06) 405-414
  • 23 Reghunandanan R, Sood S, Reghunandanan V. Pulse wave velocity and lipid profile in varicose vein patients. Angiology 1995; 46 (05) 409-412
  • 24 Xu J, Shi GP. Vascular wall extracellular matrix proteins and vascular diseases. Biochim Biophys Acta 2014; 1842 (11) 2106-2119
  • 25 Gomez I, Ozen G, Deschildre C. et al. Reverse Regulatory Pathway (H2S/PGE2/MMP) in Human Aortic Aneurysm and Saphenous Vein Varicosity. PloS one 2016; 11 (06) e0158421 https://doi.org/10.1371/journal.pone.0158421
  • 26 Bahk JW, Kim H, Jung-Choi K. et al. Relationship between prolonged standing and symptoms of varicose veins and nocturnal leg cramps among women and men. Ergonomics 2012; 55 (02) 133-139
  • 27 Tüchsen F, Hannerz H, Burr H. et al. Prolonged standing at work and hospitalisation due to varicose veins: a 12 year prospective study of the Danish population. Occup Environ Med 2005; 62 (12) 847-850
  • 28 Tabatabaeifar S, Frost P, Andersen JH. et al. Varicose veins in the lower extremities in relation to occupational mechanical exposures: a longitudinal study. Occup Environ Med 2015; 72 (00) 330-337
  • 29 Kontosic I, Vukelic M, Drescik I. et al. Work conditions as risk factors for varicose veins of the lower extremities in certain professions of the working population of Rijeka. Acta Med Okayama 2000; 54 (01) 33-38
  • 30 Ziegler S, Eckhardt G, Stoger R. et al. High prevalence of chronic venous disease in hospital employees. Wien Klin Wochenschr 2003; 115 (15/16) 575-579
  • 31 Wittig P, Nöllenheidt C, Brenscheidt S. Grundauswertung der BIBB/BAuA-Erwerbstätigenbefragung mit Schwerpunkten Arbeitsbedingungen, Arbeitsbelastungen und gesundheitliche Beschwerden. 2012. 2013 Im Internet: https://www.baua.de/DE/Angebote/Publikationen/Berichte/Gd73.html Stand: 02.05.2018
  • 32 Liebers F, Brendler C, Latza U. Berufsspezifisches Risiko für das Auftreten von Arbeitsunfähigkeit durch Muskel-Skelett-Erkrankungen und Krankheiten des Herz-Kreislauf-Systems: Bestimmung von Berufen mit hoher Relevanz für die Prävention. Dortmund: BAuA; 2016
  • 33 Graubner B. Deutsches Institut für Medizinische Dokumentation und Information (DIMDI). ICD-10-GM 2008, Systematisches Verzeichnis: Internationale statistische Klassifikation der Krankheiten und verwandter Gesundheitsprobleme, 10. Revision, German Modification, Version 2008. Köln: Dt. Ärzte-Verl; 2007
  • 34 Bundesanstalt für Arbeit (BA). Klassifizierung der Berufe – Systematisches und alphabetisches Verzeichnis der Berufsbenennungen. Nürnberg: Bundesanstalt für Arbeit (BA); 1988
  • 35 Blossfeld H-P. Bildungsexpansion und Berufschancen – empirische Analysen zur Lage der Berufsanfänger in der Bundesrepublik. Frankfurt: Campus; 1985
  • 36 Brendler C, Liebers F, Latza U. Berufsgruppen- und altersabhängige Unterschiede in der Arbeitsunfähigkeit durch häufige Herz-Kreislauf-Erkrankungen am Beispiel der essenziellen Hypertonie und des akuten Myokardinfarktes. Bundesgesundheitsbl Gesundheitsforsch Gesundheitsschutz 2013; 56 (03) 381-390
  • 37 Schultz-Ehrenburg U, Reich-Schupke S, Robak-Pawelczyk B. et al. Prospective epidemiological study on the beginning of varicose veins. Phlebologie 2009; 38 (01) 17-25
  • 38 Liebers F, Brendler C, Latza U. Alters- und berufgruppenabhängige Unterschiede in der Arbeitsunfähigkeit durch häufige Muskel-Skelett-Erkrankungen. Bundesgesundheitsbl Gesundheitsforsch Gesundheitsschutz 2013; 56 (03) 367-380
  • 39 Latza U. Umgang mit Querschnittstudien in der Arbeitswelt. Zentralblatt Arbeitsmed 2009; 59: 6-10
  • 40 Kurth BM. Erste Ergebnisse aus der „Studie zur Gesundheit Erwachsener in Deutschland“ (DEGS). Bundesgesundheitsbl Gesundheitsforsch Gesundheitsschutz 2012; 55: 1-11
  • 41 Nowossadek E. Demografische Alterung und Folgen für das Gesundheitswesen. Hrsg. Robert Koch-Institut Berlin. GBE kompakt 2012; 3: 2

Korrespondenzadresse / Correspondence

Claudia Brendler, MPH
Bundesanstalt für Arbeitsschutz und Arbeitsmedizin (BAuA)
Nöldnerstraße 40/42
10317 Berlin
Phone: + 49 30 51548 4230   

  • Literatur / References

  • 1 Gyberg V, Ryden L. Policymakers’ perceptions of cardiovascular health in Europe. Eur J Cardiovasc Prev Rehabil 2011; 18 (05) 745-53
  • 2 Böhm K. Gesundheit und soziale Sicherung. In: Statistisches Bundesamt (Destatis), Wissenschaftszentrum Berlin für Sozialforschung (WZB). Hrsg. Datenreport 2016. 1. Auflage.. Bonn: Bundeszentrale für politische Bildung (bpb); 2016: 273-339
  • 3 Robert Koch-Institut. Hrsg. Wie steht es um unsere Gesundheit. In: Gesundheit in Deutschland – Gesundheitsberichterstattung des Bundes. Berlin: H. Hennemann GmbH; 2015: 18-144
  • 4 Statistisches Bundesamt (Destatis). Gesundheit: Krankheitskosten 2015 Fachserie 12. 2017 Im Internet: https://www.destatis.de/DE/Publikationen/Thematisch/Gesundheit/Krankheitskosten/KrankheitskostenJahr2120721159004.pdf? Stand: 02.05.2018
  • 5 Zentralinstitut für die kassenärztliche Versorgung (ZI). Die 50 häufigsten ICD-10-Schlüsselnummern nach Fachgruppen Jahr 2015. 2016 Im Internet: https://www.zi.de/cms/fileadmin/images/content/PDFs_alle/Die_50_häufigsten_ICD-2015.pdf Stand: 02.05.2018
  • 6 Bundesministerium für Gesundheit. Arbeitsunfähigkeit: Fälle und Tage nach Diagnosen 2015. 2015 Im Internet: https://www.bundesgesundheitsministerium.de/fileadmin/Dateien/3_Downloads/Statistiken/GKV/Geschaeftsergebnisse/AU_Faelle_nach_Diagnosen_2015.pdf Stand: 02.05.2018
  • 7 Nüllen H, Noppeney T. Sozialmedizinische und ökonomische Aspekte der Varikose. In: Noppeney T, Nüllen H. Hrsg. Varikose: Diagnostik – Therapie – Begutachtung. 1. Auflage.. Berlin: Springer; 2010: 61-66
  • 8 Statistisches Bundesamt (Destatis). Gesundheit: Tiefgegliederte Diagnosedaten der Krankenhauspatientinnen und –patienten 2015. 2016 Im Internet: https://www.destatis.de/DE/Publikationen/Thematisch/Gesundheit/Krankenhaeuser/TiefgegliederteDiagnosedaten.html Stand: 02.05.2018
  • 9 Rabe E, Pannier F. Epidemiologie chronischer Venen. In: Noppeney T, Nüllen H. Hrsg. Varikose: Diagnostik – Therapie – Begutachtung. 1. Auflage.. Berlin: Springer; 2010: 37-43
  • 10 Dimakakos E, Syrigos K, Scliros E. et al. Prevalence, risk and aggravating factors of chronic venous disease: an epidemiological survey of the general population of Greece. Phlebology 2013; 28 (04) 184-90
  • 11 Bihari I, Tornoci L, Bihari P. Epidemiological study on varicose veins in Budapest. Phlebology 2012; 27 (02) 77-81
  • 12 Fischer H. Hrsg. Venenleiden: eine repräsentative Untersuchung in der Bevölkerung der Bundesrepublik Deutschland (Tübinger Studie). 1. Auflage.. München: Urban & Schwarzenberg; 1981: XI
  • 13 Rentenzugänge wegen verminderter Erwerbsfähigkeit (Primärquelle: Deutsche Rentenversicherung Bund (DRV Bund), Statistik des Rentenzugangs. 2016 Im Internet: www.gbe-bund.de (Stichwortrecherche: Rentenzugang Varizen); Stand: 02.05.2018
  • 14 Rabe E. Bonner Venenstudie der Deutschen Gesellschaft für Phlebologie. Phlebologie 2003; 32 (01) 1-14
  • 15 Brand FN, Dannenberg AL, Abbott RD. et al. The epidemiology of varicose veins: the Framingham Study. Am J Prev Med 1988; 4 (02) 96-101
  • 16 Ebrahimi H, Amanpour F, Bolbol Haghighi N. Prevalence and risk factors of varicose veins among female hairdressers: a cross sectional study in north-east of Iran. J Res Health Sci 2015; 1 (02) 119-123
  • 17 Kroeger K, Ose C, Rudofsky G. et al. Risk factors for varicose veins. Int Angiol 2004; 23 (01) 29-34
  • 18 Jawien A. The influence of environmental factors in chronic venous insufficiency. Angiology 2003; 54 (Suppl. 01) 19-31
  • 19 Lee AJ, Evans CJ, Allan PL. et al. Lifestyle factors and the risk of varicose veins: Edinburgh Vein Study. J Clin Epidemiol 2003; 56 (02) 171-179
  • 20 Carpentier PH, Maricq HR, Biro C. et al. Risk factors, and clinical patterns of chronic venous disorders of lower limbs: a population-based study in France. J Vasc Surg 2004; 40 (04) 650-659
  • 21 Laurikka JO, Sisto T, Tarkka MR. et al. Risk indicators for varicose veins in forty- to sixty-year-olds in the Tampere varicose vein study. World J Surg 2002; 26 (06) 648-651
  • 22 Sisto T, Reunanen A, Laurikka J. et al. Prevalence and risk factors of varicose veins in lower extremities: mini-Finland health survey. Eur J Surg 1995; 161 (06) 405-414
  • 23 Reghunandanan R, Sood S, Reghunandanan V. Pulse wave velocity and lipid profile in varicose vein patients. Angiology 1995; 46 (05) 409-412
  • 24 Xu J, Shi GP. Vascular wall extracellular matrix proteins and vascular diseases. Biochim Biophys Acta 2014; 1842 (11) 2106-2119
  • 25 Gomez I, Ozen G, Deschildre C. et al. Reverse Regulatory Pathway (H2S/PGE2/MMP) in Human Aortic Aneurysm and Saphenous Vein Varicosity. PloS one 2016; 11 (06) e0158421 https://doi.org/10.1371/journal.pone.0158421
  • 26 Bahk JW, Kim H, Jung-Choi K. et al. Relationship between prolonged standing and symptoms of varicose veins and nocturnal leg cramps among women and men. Ergonomics 2012; 55 (02) 133-139
  • 27 Tüchsen F, Hannerz H, Burr H. et al. Prolonged standing at work and hospitalisation due to varicose veins: a 12 year prospective study of the Danish population. Occup Environ Med 2005; 62 (12) 847-850
  • 28 Tabatabaeifar S, Frost P, Andersen JH. et al. Varicose veins in the lower extremities in relation to occupational mechanical exposures: a longitudinal study. Occup Environ Med 2015; 72 (00) 330-337
  • 29 Kontosic I, Vukelic M, Drescik I. et al. Work conditions as risk factors for varicose veins of the lower extremities in certain professions of the working population of Rijeka. Acta Med Okayama 2000; 54 (01) 33-38
  • 30 Ziegler S, Eckhardt G, Stoger R. et al. High prevalence of chronic venous disease in hospital employees. Wien Klin Wochenschr 2003; 115 (15/16) 575-579
  • 31 Wittig P, Nöllenheidt C, Brenscheidt S. Grundauswertung der BIBB/BAuA-Erwerbstätigenbefragung mit Schwerpunkten Arbeitsbedingungen, Arbeitsbelastungen und gesundheitliche Beschwerden. 2012. 2013 Im Internet: https://www.baua.de/DE/Angebote/Publikationen/Berichte/Gd73.html Stand: 02.05.2018
  • 32 Liebers F, Brendler C, Latza U. Berufsspezifisches Risiko für das Auftreten von Arbeitsunfähigkeit durch Muskel-Skelett-Erkrankungen und Krankheiten des Herz-Kreislauf-Systems: Bestimmung von Berufen mit hoher Relevanz für die Prävention. Dortmund: BAuA; 2016
  • 33 Graubner B. Deutsches Institut für Medizinische Dokumentation und Information (DIMDI). ICD-10-GM 2008, Systematisches Verzeichnis: Internationale statistische Klassifikation der Krankheiten und verwandter Gesundheitsprobleme, 10. Revision, German Modification, Version 2008. Köln: Dt. Ärzte-Verl; 2007
  • 34 Bundesanstalt für Arbeit (BA). Klassifizierung der Berufe – Systematisches und alphabetisches Verzeichnis der Berufsbenennungen. Nürnberg: Bundesanstalt für Arbeit (BA); 1988
  • 35 Blossfeld H-P. Bildungsexpansion und Berufschancen – empirische Analysen zur Lage der Berufsanfänger in der Bundesrepublik. Frankfurt: Campus; 1985
  • 36 Brendler C, Liebers F, Latza U. Berufsgruppen- und altersabhängige Unterschiede in der Arbeitsunfähigkeit durch häufige Herz-Kreislauf-Erkrankungen am Beispiel der essenziellen Hypertonie und des akuten Myokardinfarktes. Bundesgesundheitsbl Gesundheitsforsch Gesundheitsschutz 2013; 56 (03) 381-390
  • 37 Schultz-Ehrenburg U, Reich-Schupke S, Robak-Pawelczyk B. et al. Prospective epidemiological study on the beginning of varicose veins. Phlebologie 2009; 38 (01) 17-25
  • 38 Liebers F, Brendler C, Latza U. Alters- und berufgruppenabhängige Unterschiede in der Arbeitsunfähigkeit durch häufige Muskel-Skelett-Erkrankungen. Bundesgesundheitsbl Gesundheitsforsch Gesundheitsschutz 2013; 56 (03) 367-380
  • 39 Latza U. Umgang mit Querschnittstudien in der Arbeitswelt. Zentralblatt Arbeitsmed 2009; 59: 6-10
  • 40 Kurth BM. Erste Ergebnisse aus der „Studie zur Gesundheit Erwachsener in Deutschland“ (DEGS). Bundesgesundheitsbl Gesundheitsforsch Gesundheitsschutz 2012; 55: 1-11
  • 41 Nowossadek E. Demografische Alterung und Folgen für das Gesundheitswesen. Hrsg. Robert Koch-Institut Berlin. GBE kompakt 2012; 3: 2

Zoom Image
Abb. 1 Standardmorbiditätsratio (SMR) für das Auftreten von Arbeitsunfähigkeitsfällen (AU-Fälle) im Altersverlauf aufgrund von Varizen der unteren Extremitäten bei Männern für Berufsgruppen mit altersunabhängig erhöhter AU-Fallzahl im Vergleich zu gleichaltrigen Beschäftigten in qualifizierten kaufmännischen und Verwaltungsberufen (Referenz).
Zoom Image
Abb. 2 Standardmorbiditätsratio (SMR) für das Auftreten von Arbeitsunfähigkeitsfällen (AU-Fälle) im Altersverlauf aufgrund von Varizen der unteren Extremitäten bei Frauen für Berufsgruppen mit altersunabhängig erhöhter AU-Fallzahl im Vergleich zu gleichaltrigen Beschäftigten in qualifizierten kaufmännischen und Verwaltungsberufen (Referenz).
Zoom Image
Fig. 1 Standard morbidity ratio (SMR) among men of various age groups for the occurrence of sick leave events due to varicose veins of the lower extremities for occupational groups with an age-independent increased number of sick leave events compared to aged-matched ­employees in skilled sales and administrative occupations (reference)
Zoom Image
Fig. 2 Standard morbidity ratio (SMR) among women of various age groups for the occurrence of sick leave events due to varicose veins of the lower extremities for occupational groups with an age-independent increased number of sick leave events compared to aged-matched employees in skilled sales and administrative occupations (reference)