Identifying workers at risk of sickness absence by questionnaire

September 28, 2006 on 9:00 pm | In Uncategorized | Comments Off

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.

Low back pain and occupation among Irish health service workers

September 28, 2006 on 9:00 pm | In Uncategorized | Comments Off

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.

Low back pain among Iranian industrial workers

September 28, 2006 on 9:00 pm | In Uncategorized | Comments Off

Background Most epidemiological data concerning low back pain (LBP) are from high-income countries and there is very little information about LBP in the working population in developing countries.

Objectives To determine the prevalence of LBP in Iranian industrial workers. To explore associations between LBP and physical and psychosocial factors at work, as well as lifestyle factors.

Methods Cross-sectional study of the largest car-manufacturing group in Iran. The prevalence of LBP, work exposures and lifestyle factors were recorded using the standardized Nordic questionnaire for analysis of musculoskeletal symptoms. Demographic data and lifestyle factors (age, sex, education, weight, work experience, smoking and fitness training) were also collected.

Results Of the 18 031 employees, 78% participated. The majority of subjects in this study population were young males (<30 years) and a small proportion was female (4%). The 1-year prevalence of self-reported LBP in this Iranian industrial population was 21% (20% males and 27% females). The prevalence rate of absence due to LBP was 5% per annum. The multiple logistic regression models indicated that the following remained risk indicators for LBP in the previous 12 months: increasing age, no regular exercise, heavy lifting, repetitive work and monotonous work.

Conclusion LPB is a common problem in the working population even in a developing country. Age and gender as well as certain work-related physical and psychosocial factors influenced the prevalence of LBP but the differences between different categories of workers were small.

Adherence to mental health guidelines by Dutch occupational physicians

September 28, 2006 on 9:00 pm | In Uncategorized | Comments Off

Background In 2000, the Dutch Association of Occupational Physicians published a national guideline for the management of employees with mental health problems.

Objectives To examine predictors of adherence to this guideline by Dutch occupational physicians (OPs).

Methods Using the Theory of Planned Behaviour, a questionnaire was developed about self-reported guideline adherence of OPs and possible predictors of this behaviour. A total of 165 OPs were approached to complete the questionnaire and registration forms of first consultations of workers with mental health problems. Performance indicators based on the guideline were developed to calculate performance rates of guideline adherence by OPs.

Results Eighty of 165 (48%) OPs approached completed the questionnaire. Fifty-six OPs returned one or more registration forms, totalling 344 consultations. On a five-point Likert scale, ranging from never (1) to always (5), the mean score on self-reported guideline adherence was 2.35, compared to a mean score of 4.06 on the intention to comply with the guideline. The mean performance rate of OPs ranging from 0 to 2 was 1.27 on diagnosis and 0.60 on guidance. No relation was found between self-reported guideline adherence and performance rates. Self-reported guideline adherence correlated significantly with perceived behaviour control (r = 0.48, P < 0.05), subjective norms (r = 0.33, P < 0.05) and positive job stress (r = 0.35, P < 0.05).

Conclusions Guideline adherence by Dutch OPs lags behind its acceptance. Further implementation efforts need to focus on diminishing barriers and enhancing social norms of OPs to work according to the guideline.

Prospective study of physical and psychosocial risk factors for sickness absence

September 28, 2006 on 9:00 pm | In Uncategorized | Comments Off

Aim To investigate the associations between psychosocial and physical work environment exposures and sickness absence from work taking into account health, health behaviour and employer characteristics known to affect sickness absence.

Methods In 1995, a random sample of 5574 employees aged 18–64 years were interviewed. In 2000, 3792 of those still employed supplied data on days absent from work the year preceding the date of follow-up. Associations between risk factors at baseline and sickness absence at follow-up were studied. Logistic regression analyses were performed.

Results Sickness absence was associated with working with arms lifted/hands twisted, extreme bending/stooping of the back/neck, repetitive monotonous work, low skill discretion, low decision authority, obesity, current and former smoking, poor self-rated health, female gender, increasing age and public employer. The aetiological fraction attributable to differences in work environment exposures was calculated to be 40%.

Conclusion The study suggests a potential for reducing sickness absence through multifactorial interventions towards smoking, obesity, physical and psychosocial work environment exposures. The study showed that differences in work environment exposures account for 40% of the cases of high sickness absence.

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