The connection between age,job control and sickness absences among Finnish food workers

METHODS: The relationship between sickness absence and job control among industrial food workers of different ages (n = 114) was studied. RESULTS: The number of absence spells, particularly short absence spells, was higher among younger workers, as expected. Using multivariate analysis, low job control was associated with an increased number of all absence spells (P < 0.02). CONCLUSIONS: Job control may be an important factor in determining sickness absence among industrial workers.     

Job demands, health perception and sickness absence

BACKGROUND: Investigation of the relations between job demands, health and sickness absence is required to design a strategy for the prevention of absence and disability. AIM: To study the relationships between (physical and psychological) job demands, health perception and sickness absence. METHODS: Prospective study of 414 male employees working in two organizations with low company absence levels. Job demands and health were examined using the Basic Occupational Health Questionnaire. Sickness absence was followed for 1 year thereafter. The number of days and episodes of absence were counted. RESULTS: The questionnaires of 247 workers (60%) were suitable for statistical analysis. Physical job demands (r = 0.41; P <0.01) and, to a lesser extent, psychological job demands (r = 0.16; P = 0.01) were related to the number of health complaints. Short (1-7 days) duration absence was neither related to job demands nor to the number of health complaints. Longer (>7 days) duration absence was positively related to psychological job demands and to the number of health complaints. CONCLUSIONS: Job demands, particularly physical demands, correlated with perceived health. Poor health predicted long-term sickness absence. Early recognition of poor health should be the basis of a strategy that prevents long-term sickness absence.     

Effect of change in the psychosocial work environment on sickness absence: a seven year follow up of initially healthy employees

STUDY OBJECTIVE: To investigate the impact of changes in psychosocial work environment on subsequent sickness absence. DESIGN: Analysis of questionnaire and sickness absence data collected in three time periods: 1990-1991, before the recession; 1993, worst slump during the recession; and 1993-1997, a period after changes. SETTING: Raisio, a town in south western Finland, during and after a period of economic decline. PARTICIPANTS: 530 municipal employees (138 men, 392 women) working during 1990-1997 who had no medically certified sick leaves in 1991. Mean length of follow up was 6.7 years. MAIN RESULTS: After adjustment for the pre-recession levels, the changes in the job characteristics of the workers during the recession predicted their subsequent sick leaves. Lowered job control caused a 1.30 (95% CI = 1.19, 1.41) times higher risk of sick leave than an increase in job control. The corresponding figures in relation to decreased social support and increased job demands were 1.30 (95% CI = 1.20, 1.41) and 1.10 (95% CI = 1.03, 1.17), respectively. In some cases there was an interaction with socioeconomic status, changes in the job characteristics being stronger predictors of sick leaves for employees with a high income than for the others. The highest risks of sick leave (ranging from 1.40 to 1.90) were associated with combined effects related to poor levels of and negative changes in job control, job demands and social support. CONCLUSION: Negative changes in psychosocial work environment have adverse effects on the health of employees. Those working in an unfavourable psychosocial environment before changes are at greatest risk.     

Low back pain and occupation among Irish health service workers

BACKGROUND: The health services sector has been identified as a high-risk work sector for low back pain (LBP) and related absenteeism. AIMS: To establish levels and predictors of LBP prevalence and associated sick leave among health service workers. To identify if levels of LBP or related absenteeism differ between occupational groups. METHODS: A postal survey using a standardized questionnaire and disproportionate random sampling of occupational groups was conducted at a single Dublin hospital. Overall hospital LBP prevalence and sickness absence were calculated using weighted analysis methods. Univariate analysis included the use of Chi-square, Fisher's exact and Mann-Whitney tests. Multivariate logistic regression techniques were used to explore for independent predictors of lifetime LBP prevalence and LBP-related sickness absence. RESULTS: An overall response rate of 62% (n = 246) was achieved. Lifetime, annual and point prevalence rates for the hospital employees were calculated at 46, 30 and 15.5%, respectively. No significant difference in prevalence was found between occupational groups but sick leave did differ with the highest level among general support and nursing staff. Multivariate analysis confirmed that occupation was an independent predictor for LBP-related sick leave (P < 0.05). CONCLUSIONS: LBP prevalence rates did not differ significantly between occupational groups but occupation was found to be an independent predictor of LBP-related sick leave. Involvement in manual handling did not predict either LBP or related sick leave.     

Predicting job loss in those off sick

BACKGROUND: Evidence shows incapacity benefit claimants (those off sick >26 weeks) are at greatest risk of long-term job loss. AIM: To develop a screening tool to select those at risk of job loss, defined as failure to return to work among those off sick. The screening tool was for use in the Job Retention and Rehabilitation Pilot of the Department for Work and Pensions. METHODS: A literature review identified risks for long-term incapacity and job loss as multifactorial. Potential predictors for return to work were then assembled into a set of questions and tested by a prospective study in general practice surgeries and a retrospective study of occupational health records of local authority employees referred for sickness absence management, using univariate and multivariate logistic regression analysis. RESULTS: Univariate logistic regression analysis of the retrospective study produced odds ratios with 95% confidence intervals for each question (where P 相似文献   

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.     

Validation of sick leave measures: self-reported sick leave and sickness benefit data from a Danish national register compared to multiple workplace-registered sick leave spells in a Danish municipality

ABSTRACT: BACKGROUND: Previous validation studies of sick leave measures have focused on self-reports. Register-based sick leave data are considered to be valid; however methodological problems may be associated with such data. A Danish national register on sickness benefit (DREAM) has been widely used in sick leave research. On the basis of sick leave records from 3,554 and 2,311 eldercare workers in 14 different workplaces, the aim of this study was to: 1) validate registered sickness benefit data from DREAM against workplace-registered sick leave spells of at least 15 days; 2) validate self-reported sick leave days during one year against workplace-registered sick leave. METHODS: Agreement between workplace-registered sick leave and DREAM-registered sickness benefit was reported as sensitivities, specificities and positive predictive values. A receiver-operating characteristic curve and a Bland-Altman plot were used to study the concordance with sick leave duration of the first spell. By means of an analysis of agreement between self-reported and workplace-registered sick leave sensitivity and specificity was calculated. Ninety-five percent confidence intervals (95% CI) were used. RESULTS: The probability that registered DREAM data on sickness benefit agrees with workplace-registered sick leave of at least 15 days was 96.7% (95% CI: 95.6-97.6). Specificity was close to 100% (95% CI: 98.3-100). The registered DREAM data on sickness benefit overestimated the duration of sick leave spells by an average of 1.4 (SD: 3.9) weeks. Separate analysis on pregnancy-related sick leave revealed a maximum sensitivity of 20% (95% CI: 4.3-48.1).The sensitivity of self-reporting at least one or at least 56 sick leave day/s was 94.5 (95% CI: 93.4 -- 95.5) % and 58.5 (95% CI: 51.1 -- 65.6) % respectively. The corresponding specificities were 85.3 (95% CI: 81.4 -- 88.6) % and 98.9 (95% CI: 98.3 -- 99.3) %. CONCLUSIONS: The DREAM register offered valid measures of sick leave spells of at least 15 days among eldercare employees. Pregnancy-related sick leave should be excluded in studies planning to use DREAM data on sickness benefit. Self-reported sick leave became more imprecise when number of absence days increased, but the sensitivity and specificity were acceptable for lengths not exceeding one week.     

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.     

Occupational stress and incidence of sick leave in the Belgian workforce: the Belstress study

CONTEXT: Sick leave is a major problem in public health. The Karasek demands/control/social support/strain (JDCS) model has been largely used to predict a wide range of health outcomes and to a lesser extent sickness absence. STUDY OBJECTIVE: The aim of the study was to test the predictive power of the JDCS model in relation with one year incidence of sick leave in a large cohort of workers. DESIGN AND SETTING: Cohort study conducted between 1994 and 1998 in 25 companies across Belgium. PARTICIPANTS: A total of 20 463 workers aged 35 to 59 years were followed up for sick leave during one year after the baseline survey. OUTCOMES: The outcomes were a high sick leave incidence, short spells (>/=7 days), long spells (>/=28 days), and repetitive spells of sickness absence (>/=3 spells/year). MAIN RESULTS: Independently from baseline confounding variables, a significant association between high strained jobs with low social support and repetitive spells of sickness absence was observed in both sexes with odds ratios of 1.32 (99% CI, 1.04 to 1.68) in men and 1.61 (99% CI, 1.13 to 2.33) in women. In men, high strained jobs with low social support was also significantly associated with high sick leave incidence, and short spells of sick leave with odds ratios of 1.38 (99% CI, 1.16 to 1.64) and 1.22 (99% CI, 1.05 to 1.44) respectively. CONCLUSIONS: Perceived high strain at work especially combined with low social support is predictive of sick leave in both sexes of a large cohort of the Belgian workforce.     

Leisure time physical activity and sickness absenteeism; a prospective study

AIM: To establish whether workers with frequent leisure time physical activities are at higher or lower risk of sickness absence compared to inactive workers. METHOD: Self reported and company recorded sickness absence data were collected during 18 months of follow-up for 8902 workers. Frequency of leisure time physical activities was queried at baseline. RESULTS: Overall, we found that workers active in their leisure time twice or more each week reported significantly less sickness absence compared to inactive workers (14.8 versus 19.5 days/year), mainly due to a decrease in sick leave because of musculoskeletal disorders. CONCLUSION: Demotivating sports participation by making workers liable for workdays lost due to sporting injuries might be counter-productive in decreasing absenteeism and its related costs. Promoting worker participation in sport might lead to reduced absenteeism.     

Long-term sick leave and its risk factors during pregnancy among Danish hospital employees

AIM: The authors sought to describe risk indicators of long-term sick leave during pregnancy among hospital employees. METHODS: A register-based study was undertaken of 4,852 female hospital employees aged 20-45 years from the second largest hospital in Denmark during 1995-99 based on job titles, working time, sick leave, and births combined with a survey among a total of 773 women who had been pregnant during their employment (response rate 85%). RESULTS: Altogether 236 (31%) were on sick leave for at least 10% of their scheduled work time during their latest pregnancy and 169 (22%) had been absent at least 20% of the time. The pregnant women had an average sickness absence of 6.1 days per month, non-pregnant women 0.95 days per month. Sick leave was more frequent in late than in early gestation. Women employed as nursing aides or hospital orderlies, launderers, and nurses had more sick leave days than other hospital employees. Part-time work, previous sickness absence not related to pregnancy, and previous chronic back pain were risk factors for long-term sick leave as were much walking or standing, long working days, high work level, little practical support from supervisors and colleagues, low job control, much lifting and night or shift work. Sick leave was unrelated to family size, support from the family and number of working years. CONCLUSION: Long-term sick leave during pregnancy was frequent and to some extent predictable. Efforts should be made to organize work for pregnant women in a manner that optimizes their health and well-being.     

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     

Sick leave analysis among self-employed Dutch farmers

BACKGROUND: Agriculture is one of the most physically demanding and risky industries. Aim The objective of this study was to provide baseline data on the diagnoses, occurrence and duration of sick leave of self-employed Dutch farmers. METHOD: A database of 22 807 sick leave claims of 12 627 farmers during the period 1994-2001 was analysed. RESULTS: Most of the claims (61%) were for musculo-skeletal injuries and disorders. The mean cumulative incidence (CI) was 10.2 claims per year per 100 farmers and did not change over time. However, it varied per agricultural sector and per age category, being lowest in arable farming and in the youngest age category and highest in mushroom farming and in the oldest age category. The duration of sick leave depended both on diagnosis and age category: the slowest recovery from sick leave was seen in farmers with respiratory diseases and farmers in the oldest age category. CONCLUSION: The results make it easier to identify groups of farmers to be targeted to prevent sick leave. To reduce the occurrence of sick leave in agriculture, the strategy should be to prevent musculo-skeletal injuries and disorders. Furthermore, a sector-specific approach is recommended, so that preventive actions can be focused on working conditions-specifically on workload and work safety. Efforts to shorten the duration of sick leave will also be valuable to obtain a reduction of sick leave.     

Influence of change in psychosocial work characteristics on sickness absence: The Whitehall II Study

OBJECTIVES: To study the influence of change in self perceived psychosocial work characteristics on subsequent rates of sickness absence. METHODS: Prospective cohort study of British civil service employees. Job control, job demands, and work social supports were measured in 1985/88 and in 1991/93. Analyses included 3817 British civil servants with sickness absence records at baseline (1985-89) and for two follow up periods, early (1994-95) and later follow up (1996-98). RESULTS: Change in work characteristics predicted subsequent incidence of long spells of sickness absence (>7 days) in the early follow up period after adjustment for covariates including baseline work characteristics, health status, and sickness absence. Adjusted rate ratios were 1.23 (95% CI 1.03 to 1.46) for decreased compared with stable decision latitude; 1.17 (95% CI 1.01 to 1.36) for increased compared with stable job demands and 0.79 (95% CI 0.67 to 0.93) for increased compared with stable work social support. These associations were also seen in a sub-sample who did not change employment grade. In the later follow up period, associations between work change and long spells of sickness absence were similar for decision latitude, less pronounced for job demands, and no longer apparent for social supports. Changes in work characteristics were not associated with subsequent short spells of sickness absence (相似文献   

A retrospective study of return to work following surgery

BACKGROUND: Sickness absence following surgery accounts for significant periods of sickness absence from employment. The duration of absence following two surgical procedures: benign abdominal hysterectomy (BAH) and Birmingham hip resurfacing (BHR) was explored. AIM: To identify what advice patients who had undergone BAH or BHR surgery were given regarding their likely sickness absence duration and to compare this with their reported absence duration. METHOD: In all, 453 patients who had undergone BAH or BHR surgery during 2004 were contacted by postal questionnaire and the results were statistically analysed. RESULTS: The advice given to patients to refrain from work varied from 4 weeks to >15 weeks for BAH surgery which was inconsistent with evidence-based guidance provided by the Department of Work and Pensions. The advice for BHR varied from <4 weeks to >15 weeks. Advice given by health care professionals appeared to have the greatest influence on return to work times with patients tending to adhere to any advice that is given irrespective of its duration. Twenty-two (29%) BAH patients and thirty-six (43%) BHR patients reported that their employers provided temporary work modifications when they returned to work; however, this support appeared to have no effect on their sickness absence duration. CONCLUSION: Health care professional advice regarding expected sickness absence duration influenced absence duration. The awareness and use of more consistent evidence-based guidance may be beneficial for all involved in this process.     

Factors affecting long-term sick leave in an industrial population

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

Predictability of school absence for rate of sick leave

School absence was studied in all children in grade 8 (mean age 15 years) in the municipality of Link?ping during the school year 1969-70. The mean absence rate was 51 lessons per year. At the mean age of 27 years, 11-13 years later, information from the Swedish Social Insurance Office was collected in a 25% random sample. The median rate of sick leave was 5.3 days per year, the median number of sickness spells, 1.7 per year, the median number of days per sickness spells, 3.0 and the median income 77 000 SEK per year. Spearman rank correlation coefficients were calculated, separately for women and men, between absence rate in grade 8 on the one hand and different rates of sick leave and income on the other. For women, rs ranged between -0.06 and 0.14, for men, -0.16 to 0.21. Thus the predictive ability of school absence for rate of sick leave was found to be very low.     

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.     

Training and Motivational Factors as Predictors of Job Satisfaction and Anticipated Job Retention among Implementers of a School-Based Prevention Program

Despite increasing dissemination of prevention programs, little is known about program implementers, including factors that promote satisfying job roles. Using Self-Determination Theory as a conceptual framework, we surveyed 128 implementers of the widely disseminated Primary Mental Health Project. Implementers reported 7.1 years average experience on the job (range 1–25 years), and 55% had two or more years of college. In a multivariate regression model, predictors of higher job satisfaction were: lower education level; positive perceptions of supervision and continuing education opportunities; and satisfaction at work of needs for autonomy and competence. For implementers with ≤3 years experience, satisfaction of competence needs predicted job satisfaction; for implementers with >3 years experience, satisfaction of needs for autonomy and for relatedness predicted job satisfaction. Contrary to expectations, job satisfaction was unrelated to anticipated job retention. Editors' Strategic Implications: The authors provide a strong and novel test of Self-Determination Theory as it applies to the training and retention of the implementers of prevention programs. Their findings suggest that greater attention should be placed on supervision, motivation, and the psychological needs of implementers in training programs, and to the differential needs of long-term implementers versus beginners.     

Job strain and sick leave among Japanese employees: a longitudinal study

Objectives: The present study is an investigation of the association between job stress, determined on the basis of a demand–control model or worksite social support at the baseline, and absence due to illness among employed Japanese males and females. Methods: We analyzed 448 male and 81 female subjects who had taken no sick leave in the year preceding the baseline (1997) and observed them all until 1999. A self-administered questionnaire was the source information collected. It consisted of questions on socio-demographic variables, occupations, health-related behavior, a Japanese version of the Job Content Questionnaire, and the number of absences in the year preceding both the baseline and follow-up. Logistic regression analyses were used to determine how the characteristics of a job at the baseline affected sickness absence of 5 days or longer per year; controls were established for the gender, age, level of education completed, occupation, number of cigarettes smoked daily, and the amount of alcohol consumed weekly. Results: Compared to the lowest tertile of the ratio of demand to control (job strain), the highest tertile was significantly associated with an increased risk of sickness absence of 5 days or longer per year (odds ratio 3.02; 95%CI 1.00–9.16) at follow-up. The dose–response relationship was supported (p for trend <0.05). However, individual variables of job demand, job control, and worksite social support were not significantly associated with the risk of absence from illness. Conclusions: The study provided prospective evidence that job strain leads to an increased risk of sick leave among Japanese employees.