Economic impact of work disability due to chronic low back pain from the patient perspective

ObjectivesLow back pain (LBP) is one of the main expenditure items for health systems. Data on the economic impact of LBP are uncommon from the patient perspective. The aim of this study was to estimate the economic impact of work disability related to chronic LBP from the patient perspective.MethodsWe conducted a cross-sectional analysis from patients aged over 17 years suffering from non-specific LBP for at least 3 months. Systematic medical, social and economic assessments were collected: pain duration and intensity; functional disability with the Quebec Back Pain Disability Scale (0–100); quality of life with the Dallas Pain Questionnaire; job category; employment status; duration of work disability due to LBP, and income. Factors associated with loss of income were identified by multivariable logistic regression analysis.ResultsWe included 244 workers (mean age 43 ± 9 years; 36% women); 199 patients had work disability, including 196 who were on sick leave, 106 due to job injury. Three were unemployed due to layoff for incapacity. The mean loss of income for patients with work disability was 14% [SD 24, range −100 to 70] and was significantly less for patients on sick leave due to job injury than on sick leave not related to job injury (p < 0.0001). On multivariable analysis, the probability of loss of income with LBP was about 50% less for overseers and senior managers than workers or employees (odds ratio 0.48 [95% confidence interval 0.23–0.99]).ConclusionWork disability due to LBP resulted in loss of income in our study. The loss of income depended on the type of social protection and job category. It was reduced for patients on sick leave related to work injury and for overseers and senior managers.     

Assessment of functional status, low back disability, and use of diagnostic imaging in patients with low back pain and radiating leg pain.

We analyzed data from outpatients with chronic low back pain (LBP) in the Veterans Health Study (n = 563) to examine the relationship between localized LBP intensity and radiating leg pain in assessing patient functional status, low back disability, and use of diagnostic imaging. Based on the localized LBP intensity, the study subjects were divided into tertiles (low, moderate, and high intensity). The study subjects were also stratified by the extent of radiating leg pain. Using analysis of variance and multiple regression analysis, we compared the relative importance of localized LBP intensity and radiating leg pain in explaining the variability in the means of the SF-36 scales and low back disability days, and in the proportion of patients who had used diagnostic imaging. The results of the study indicate that measures of localized LBP intensity and radiating leg pain contribute separately to the assessment of patient functional status, low back disability, and use of diagnostic imaging. These results suggest that localized LBP intensity and radiating leg pain may represent two different approaches in assessing back pain severity. Future epidemiological and health services research should consider both measures in assessing the impact of LBP on patient functional status, low back disability, and use of diagnostic imaging.     

Profile of individuals with low back pain and factors defining chronicity of pain: a population-based study in Ethiopia

Purpose

Low back pain (LBP) is the most prevalent public health problem globally, second only to headaches in the ranking of painful disorders that affect human beings. However, evidence about the profile of LBP patients is lacking in low-income countries for appropriate management approaches. This study examined the profile of individuals with LBP and factors defining chronicity of pain in Ethiopia.

Methods

A population-based cross-sectional study design was used to collect data from 1812 adults (≥?18 years) with LBP at present. Data were collected by interviewing the study participants using an instrument developed and validated in the same study population. The instrument includes socio-demographic information, health behaviours/lifestyle habits, beliefs about pain, and pain and general health-related characteristics of the participants. Data analysis was performed using R version 3.5.1. Both unconditional and conditional logistic regression models were fitted and Odds Ratio (OR) with 95% confidence intervals (95% CIs) were computed to identify factors significantly associated with chronicity of pain at p?≤?0.05 significance level.

Results

Negative beliefs about pain, a varying degree of pain interference with daily and social activities, complaining of pain in other anatomical sites other than the low back region, general health status rated as not excellent, depressive symptomology, and sleeping problems/insomnia were common within the profile of individuals with LBP. Age, educational level, residential setting, beliefs about pain, and depressive symptomology were found to have a statistically significant association with chronicity of pain.

Conclusions

This study provides an overview of the profile of individuals with LBP and factors defining chronicity of pain, assisting clinicians to design appropriate management strategies to improve patients' outcomes.

     

The practicality and validity of directly elicited and SF-36 derived health state preferences in patients with low back pain.

Recent research has derived preference scores from the SF-36. We compare the practicality and construct validity of SF-36 derived preference scores with directly elicited time trade off (TTO) and visual analogue scale (VAS) scores. In this observational study, low back pain (LBP), patients were asked to complete disease specific, generic (SF-36), and health state preference (VAS and TTO) instruments. Baseline SF-36 responses were converted to preference scores using six published algorithms. Response rates for the SF-36 derived and TTO preference values were 354 of 379 (93%) and 303 of 379 (80%), respectively. Thirty patients were excluded from the TTO exercise because of difficulties comprehending the scaling task. Choice based methods (standard gamble, TTO) yielded higher and more uniform estimates of preference (0.77-0.79) than non-choice based methods (VAS) (0.42-0.70). Directly elicited TTO values were variable and had less power to distinguish among patients with differing severity of LBP. All SF-36 derived preferences exhibited a minimum threshold implying a potential floor effect for severely ill patients. SF-36 derived preferences demonstrated good practicality and construct validity in this setting, however different methods will yield disparate estimates of marginal benefit. This emphasises the need for a standardised algorithm for deriving SF-36 preference scores.     

The epidemiology of low back pain in an adolescent population.

We assessed the prevalence of low back pain (LBP) in a cohort of 1242 adolescents (aged 11 through 17) currently participating in a 4-year prospective study of medically treated injuries. Overall, 30.4% of the adolescents reported LBP. The impact of LBP in adolescents was considerable, with one third resulting in restricted activity and 7.3% seeking medical attention. Life-table analysis demonstrated that by age 15, the prevalence of LBP increased to 36%. There were few differences by gender or race. These results suggest that LBP in adolescents is a serious public health problem.     

Association of comorbidity and outcome in episodes of nonspecific low back pain in occupational populations

We examined the relationship between comorbidity and first return to work after episodes of work-disabling, nonspecific low back pain (NSLBP). An inception cohort of workers with new episodes of NSLBP was identified from administratively maintained occupational health records. We compared 6-month return-to-work rates between workers with one or more comorbid conditions with those without documented comorbidity. Workers with comorbidity were 1.31 times more likely to remain work disabled than those with uncomplicated NSLBP, after adjusting for age, gender, lifting demands, and company membership (adjusted hazards ratio [HR] = 1.31; 95% confidence interval [CI] 1.12 to 1.52). Concurrent injury (i.e., sprains or strains of the neck, upper extremity, and lower extremity; contusions; and lacerations) had the strongest association (adjusted HR = 1.49; 95% CI, 1.21 to 1.83), followed by musculoskeletal disorders (adjusted HR = 1.13; 95% CI, 0.77 to 1.66). Comorbidities should be routinely evaluated at first visit by occupational health professionals to better manage disability associated with LBP.     

The health-related quality of life in eating disorders

Objective: This study investigated the perception of health-related quality of life (HRQoL) in ambulatory patients with eating disorders in relation to the severity of eating symptomatology and psychological comorbidity. Methods: One hundred ninety-seven study patients were consecutively recruited at the Eating Disorders Outpatient Clinic. Short Form-36 items (SF-36), a generic HRQoL questionnaire, the Eating Attitudes Test (EAT-40), and the Hospital Anxiety and Depression Scale (HAD) were used to measure different aspects of HRQoL. The results of the SF-36 were compared with the norms of the Spanish general population for women 18–34 years of age. Results: Patients with eating disorders were more dysfunctional in all areas of the SF-36 compared with women in the general population. There were no differences among the eating disorder diagnostic groups. Higher scores on the EAT-40 and the HAD were associated with a perception of greater impairment on all SF-36 subscales. Conclusion: The evaluation of HRQoL in these patients confirms the impact of these disorders on daily life in areas not directly related to eating disorders. The SF-36 is useful for discriminating among different levels of severity of eating disorders and other psychological comorbidities of these patients. This revised version was published online in June 2006 with corrections to the Cover Date.     

Estimating the global burden of low back pain attributable to combined occupational exposures

BACKGROUND: There is little information about the global burden of non-traumatic low back pain (LBP) attributable to the effects of physical and psychosocial occupational stressors. METHODS: Based on a review of the epidemiological evidence, occupation-specific relative risks were used to compute attributable proportions by age, gender, and geographical sub-region for the economically active population aged 15 and older. The reference group was professional/administrative workers; other risk categories were Low, clerical and sales; Moderate, operators (production workers) and service; and High, farmers. RESULTS: Worldwide, 37% of LBP was attributed to occupation, with twofold variation across regions. The attributable proportion was higher for men than women, because of higher participation in the labor force and in occupations with heavy lifting or whole-body vibration. Work-related LBP was estimated to cause 818,000 disability-adjusted life years lost annually. CONCLUSIONS: Occupational exposures to ergonomic stressors represent a substantial source of preventable back pain. Specific research on children is needed to quantify the global burden of disease due to child labor.     

Purging behaviors and comorbidity as predictive factors of quality of life in anorexia nervosa

OBJECTIVE: This study examined the predictive factors for the physical and mental summary components (PCS and MCS) of quality of life (SF-36) in patients with anorexia nervosa. METHOD: Forty-seven patients with anorexia nervosa were studied. Assessment comprised psychiatric diagnosis by a clinical structured interview for Axis I disorders (SCID-I) and personality disorders (SCID-II), Clinical Global Impression (CGI), and Quality of Life (SF-36). RESULTS: Anorexia nervosa, restrictive type, was diagnosed in 73.9% of the patients and 51% of the patients presented with comorbidity on Axis I or Axis II or both. The predictive variables for the PCS were poor outcome in previous year, comorbidity on Axes I and II, and female gender. The predictive variables for the MCS were the presence of comorbidity in one or the other of the Axis I or II disorders and purging behaviors. DISCUSSION: The current study suggests the importance of comorbidity and purging behaviors in the quality of life of these patients with anorexia nervosa.     

Health utilities for chronic low back pain

Background

Chronic low back pain (LBP) is a common health problem, with a large potential for primary prevention. Health utilities (HU) reflect which proportion of their expected remaining life time individuals would hypothetically trade to be alleviated of a health condition of interest. A value of 0 means “prefer to die immediately”, a value of 1 means “not willing to trade any life time”. The aim of this cross-sectional study was to assess HU for LBP patients and for healthy participants and to examine whether HU for LBP are useful indicators to substantiate preventive and therapeutic decision making.

Methods

Healthy participants (n?=?126) and LBP patients (n?=?32) were recruited mainly among the employees of a tertiary care hospital in Germany. Standardized LBP scenarios were presented to all participants and HU values were assessed using the time-trade-off method.

Results

Median HU for LBP were 0.90 (IQR 0.31) for participants and 0.93 (IQR 0.10) for LBP patients. Measurements were consistent across illness severity ratings with HU and with a visual analogue scale (VAS); in the healthy sample the intraclass correlation coefficient (ICC) was 0.61 (95% CI 0.23–1.00, F(1125)?=?190, p < .001), in the patient sample the ICC was 0.66 (95% CI?=?0.24–1.00, F(1,31)?=?62, p < .001). 8% of participants reported HU of 1. There was no statistically significant relation between HU and age, income, or gender.

Conclusion

On average, participants chose a 7 to 10% shorter life expectancy to avoid LBP, but almost 1 in 10 participants were not willing to trade any life years. The results indicate a certain stability of HU due to the comparability of HU ratings across patients and healthy participants, the measurement consistency when comparing VAS and HU ratings, and the lack of association between demographic variables and HU. This underlines the usefulness of HU for measuring illness severity in comparative health economics evaluations of preventive and therapeutic measures that address chronic LBP or other pain-characterized diseases. Future studies should focus on different LBP intensities and derive stratified HU that reflect the distribution of pain intensity in the population.

     

Daily text messages used as a method for assessing low back pain among workers

ObjectivesTo evaluate a method for collecting data concerning low back pain (LBP) using daily text messages and to characterize the reported LBP in terms of intensity, variability, and episodes.Study Design and SettingWe conducted a cohort study of LBP among workers used by a mining company. The participants were asked to answer the question “How much pain have you had in your lower back in the last 24 hours on a scale from 0 to 10, where 0 = no pain and 10 = the worst pain imaginable” once a day for 5 weeks, with this process being repeated 6 months later.ResultsA total of 121 workers participated in the first period of data collection, and 108 participated in the second period. The daily response rate was 93% for both periods, and cluster analysis was shown to be a feasible statistical method for clustering LBP into subgroups of low, medium, and high pain. The daily text messages method also worked well for assessing the episodic nature of LBP.ConclusionWe have demonstrated a method for repeatedly measuring of LBP using daily text messages. The data permitted clustering into subgroups and could be used to define episodes of LBP.     

Quality of life and neck pain in nurses

Objectives

To investigate the association between neck pain and psychological stress in nurses.

Material and Methods

Nurses from the Avon Orthopaedic Centre completed 2 questionnaires: the Short Form-36 (SF-36) and 1 exploring neck pain and associated psychological stress.

Results

Thirty four nurses entered the study (68% response). Twelve (35.3%) had current neck pain, 13 (38.2%) reported neck pain within the past year and 9 (26.5%) had no neck pain. Subjects with current neck pain had significantly lower mental health (47.1 vs. 70.4; p = 0.002), physical health (60.8 vs. 76.8; p = 0.010) and overall SF-36 scores (56.8 vs. 74.9; p = 0.003). Five (41.7%) subjects with current neck pain and 5 (38.5%) subjects with neck pain in the previous year attributed it to psychological stress.

Conclusions

Over 1/3 of nurses have symptomatic neck pain and significantly lower mental and physical health scores. Managing psychological stress may reduce neck pain, leading to improved quality of life for nurses, financial benefits for the NHS, and improved patient care.     

Occupational risk factors for low back pain among drivers of three-wheelers in Sri Lanka

Abstract

Background:

Approximately 5% of all households in Sri Lanka operate a three-wheeler as their primary source of income. However, very little is known about the occupational health risks associated with driving these vehicles.

Objectives:

The aim of this study was to assess occupational risk factors, including the number of hours worked associated with the 4-week prevalence of low back pain (LBP) among drivers of three-wheelers.

Methods:

Questionnaires were administered to 200 full-time drivers of three-wheelers from the Galle District in Sri Lanka. Occupational, psychological, socio-demographic, lifestyle, and anthropometric variables were collected. Univariate and multivariate analysis were used to investigate the correlation between occupational risk factors of the prevalence of LBP.

Results:

15·5% of respondents reported experiencing LBP in the previous 4 months. Univariate analysis revealed that the number of hours worked per week, feeling pressure to compete with other drivers, and perceived stress scale scores were significantly associated with the 4-week prevalence of LBP. Multivariate analysis found that the number of hours worked per week and engine type were significantly associated with LBP.

Conclusions:

LBP is common among drivers of three-wheelers in Sri Lanka. Long work hours and two-stroke engines were significantly associated with LBP. Results from this study point towards a role for educational, behavioral health, and policy interventions to help prevent and reduce LBP among these drivers.     

The impact of comorbidity on the relationship between life stress and health-related quality of life for Chinese- and Korean-American breast cancer survivors

Objective: The current study aimed to (1) identify the occurrence of comorbidities among Chinese- and Korean-American breast cancer survivors (BCS), (2) examine whether health-related quality of life (HRQOL) scores varied with the occurrence of specific comorbidities, and (3) investigate the mediating effect of comorbidities on the relationship between life stress and HRQOL.

Design: Data were drawn from the parent study, a cross-sectional study investigating HRQOL in 86 Chinese- and 71 Korean-American BCS in Southern California. Two comorbidity-related variables, the occurrence of the specific comorbidity and the total number of comorbidities, were used to comprehensively reflect the characteristics of comorbidity.

Results: Approximately 60% of participants had at least one comorbid disease, and osteoporosis was the most prevalent comorbidity. HRQOL differences based on the occurrence of a specific comorbidity were evident for arthritis, eye/vision problems, dental and gum problems, lymphedema, and psychological difficulties. Structural equation modeling demonstrated that the nature of the outcome variable, either physical or mental HRQOL, influenced the overall patterns of the findings. For example, life stress was significantly associated with the total number of comorbidities and in turn influenced physical HRQOL. In terms of mental HRQOL, arthritis, dental and gum problems, chronic pain, heart disease, lymphedema, and psychological difficulties mediated the relationship between life stress and mental HRQOL.

Conclusion: The current study adds to the existing literature by examining the mediating effects of comorbidity on the relationship between life stress and HRQOL. The findings support the need for health care professionals to clearly assess physical and psychological comorbidities when providing survivorship care for cancer survivors.     

Measurement bias of the SF-36 Health Survey in older adults with chronic conditions

Purpose

The objectives of this study were to investigate the psychometric properties of the SF-36 in a sample of older adults with chronic conditions and to test whether measurement bias exists based on the levels of comorbidity.

Methods

Participants included were 979 cognitively intact older adults with comorbidities who were interviewed at their homes. We examined the psychometric properties of the SF-36 and conducted confirmatory factor analysis (CFA) to investigate the assumption of measurement invariance by the levels of comorbidity.

Results

Overall data quality was high and scaling assumptions were generally met with few exceptions. Floor and ceiling effects were present for the role-physical and role-emotional subscales. Using CFA, we found that a three-factor measurement model fits the data well. We identified two violations of measurement invariance. Results showed that participants with high comorbidity level place more emphasis on social functioning (SF) and bodily pain (BP) in relation to physical health-related quality of life (HRQoL) than those with low comorbidity level.

Conclusions

Measurement bias was present for the SF and BP components of the SF-36 physical HRQoL measure. Researchers should be cautious when considering the use of SF-36 in clinical studies among older adults with comorbidities.     

Women, mental health and health-related quality of life in coronary patients

OBJECTIVE: To establish clusters of Health-Related Quality of Life (HRQL) in a population of patients hospitalised for suspected Coronary Heart Disease (CHD), and to examine the relationship between mental health and other sociodemographic and clinical variables associated with worse HRQL. METHODS: We conducted a cross-sectional study of 185 patients admitted to the Cardiology Service. We used the General Health Questionnaire (GHQ-28) to assess the mental status, and the SF-36 to assess Health Related Quality Life (HRQL). Using the patients' scores obtained from the SF-36, we performed a cluster analysis and used a logistic model for the analysis of the variables associated with HRQL clusters. RESULTS: We identified two HRQL clusters: good quality of life, for which the patients scored highest in all the dimensions of SF-36, and worse quality of life, for which patients had lower scores in all dimensions. The variables associated with the worse quality of life group were: female gender, previous history of Coronary Heart Disease (CHD), and poor mental health. CONCLUSIONS: Being female, having poor mental health and a previous history of CHD were identified as representing a vulnerable group with worse HRQL.     

Investigation of a severity-based classification of mood and anxiety symptoms in primary care patients

BACKGROUND: Current Diagnostic and Statistical Manual of Mental Disorders (DSM) classifications describe spectrums of symptoms that define mood and anxiety disorders. These DSM classifications have been applied to primary care populations to establish the frequency of these disorders in primary care. DSM classifications, however, might not adequately describe the underlying or natural groupings of mood and anxiety symptoms in primary care. This study explores common clusters of mood and anxiety symptoms and their severity while exploring the degree of cluster congruency with current DSM classification schemes. We also evaluate how well the groupings derived from these different classifying methods explain differences in patients' health-related quality of life. METHODS: Study design was cross-sectional, using a sample of 1333 adult primary care patients attending a university-based family medicine clinic. We applied cluster analysis to responses on a 15-item instrument measuring symptoms of mood and anxiety and their severity. We used the PRIME-MD to determine the presence of DSM-III-R disorders. The SF-36 Health Survey was used to assess health-related quality of life. RESULTS: Cluster analysis produced four groups of patients different from groupings based on the DSM. These four groups differed from each other on sociodemographic indicators, health-related quality of life, and frequency of DSM disorders. Cluster membership was associated in three of four clusters with a clinically significant and progressive decrease in mental and physical health functioning as measured by the SF-36 Health Survey. This decline was independent of the presence of a DSM diagnosis. CONCLUSIONS: A primary care classification scheme for mood and anxiety symptoms that includes severity appears to provide more useful information than traditional DSM classifications of disorders.     

Determinants of healthcare utilisation for low back pain: A population‐based study in Ethiopia

Low back pain (LBP) remains one of the major public health problems worldwide. However, in low‐income countries, such as those in Africa, the epidemiological data on healthcare utilisation for LBP are lacking due to more pressing problems such as infectious diseases, to which the majority of health resources are channelled. Therefore, this study aimed at investigating the determinants of healthcare utilisation for LBP in the general population of Ethiopia. A population‐based cross‐sectional study was conducted in South‐West Shewa zone of Ethiopia from June to November 2018. The data were collected by interviewing adults with LBP (n = 1812, randomly selected) using a psychometrically tested and validated instrument, analysed using R version 3.5.1. A log‐binomial regression model was used to determine the prevalence ratio with a 95% confidence interval (CI) in identifying factors associated with healthcare utilisation for LBP. Estimates of population parameters were also presented with 95% CIs and p values. For all applications of inferential statistics, a p value of ≤.05 was taken as the significance level. The lifetime prevalence of healthcare utilisation for LBP was 36.1%, 95% CI: 33.9–38.1, while the annual prevalence rate was 30%, 95% CI: 27.9–32.2. Of those with a 1‐year history of healthcare utilisation, while 7.4%, 95% CI: 4.9–10.3 rural and 36.6%, 95% CI: 29.5–44 urban populations utilised healthcare from general hospitals, 1.4%, 95% CI: 0.3–2.7 rural and 6.8%, 95% CI: 3.1–10.8 urban populations utilised healthcare from specialised hospitals. Several sociodemographic factors, modifiable health behaviours/lifestyle habits, pain interrelated factors, and specific factors such as beliefs about the pain, depressive symptoms and insomnia were associated with healthcare utilisation for LBP. The implications of this research are that it may be prudent for the Ethiopian healthcare policy makers to develop the necessary strategies to meet the health needs of both urban and rural populations with LBP.     

Smoking Cessation and Quality of Life: Insights From Analysis of Longitudinal Australian Data,an Application for Economic Evaluations

ObjectivesA number of studies have shown an association between smoking habit and quality of life, but these have mainly involved cross-sectional data. This study takes advantage of longitudinal panel data to estimate the effect of the transition from “smoker” to “ex-smoker” status (smoking cessation) on health-related quality of life (HRQoL), measured by SF-36, in an Australian general population sample.MethodsPanel data from 13 waves (2001-2013) of a nationally representative longitudinal survey of Household Income and Labour Dynamics of Australia (HILDA) were used; 1858 respondents (5% of total HILDA sample) who experienced only 1 cessation event in their HILDA life were selected. HRQoL trajectories elicited by SF-36 (0-100 scale, worst to best health) were modeled before and after cessation events using a piecewise (segmented) 2-way fixed-effect linear regression, adopted to capture within-person differences. This enabled measurement of changes of regression slopes and intercept while controlling time-invariant characteristics (eg, country of birth, gender) and time-varying changes in health status.ResultsAnnual pre-post intervention improvements were estimated for the following dimensions: role physical 0.65 (95% CI 0.62-1.24), bodily pain 0.48 (95% CI 0.10-0.86), general health 0.55 (95% CI 0.2-0.9), and the physical component summary score 0.22 (95% CI 0.01-0.04). Immediate effects (discontinuity at the time of cessation) of smoking cessation existed for bodily pain –1.5 (95% CI –2.52 to –0.40) and general health 1.82 (95% CI 1.01-2.62). The effects for mental health domains were not significant.ConclusionsAdjusting for all unmeasured time-invariant confounders and controlling the effect of time, this study revealed the varied effects of smoking cessation on HRQoL; it has positive effect on physical and general health but nonsignificant effect on mental aspects. Preference-based utility measures based on SF-6D capture changes that can be measured in several of the domains of the SF-36.     

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.