Updated Standardized Mortality Ratio Evaluation of Disease Risks of Shipyard Workers Exposed to Low Dose Ionizing Radiation.

OBJECTIVE: To examine the risk of diseases among industrial workers with low and fractionated radiation exposures. METHOD: The 372,047 US male shipyard radiation and non-radiation workers were followed for 54 years and compared with US men using standardized mortality ratio (SMR) method. RESULTS: SMRs for both radiation and non-radiation workers had lower risks of death from all causes (0.74; 95% confidence interval [CI] 0.74 to 0.75 and 0.77; 95% Cl 0.77 to 0.78, respectively) and from all cancers (0.92; 95% CI 0.91 to 0.93 and 0.90; 95% CI 0.89 to 0.91, respectively) compared with US men. Asbestos-related diseases including pleural cancers, mesothelioma, and asbestosis, but not lung cancers, were statistically higher in both radiation and non-radiation workers compared with the US men. CONCLUSION: US shipyard male radiation and non-radiation workers did not show any elevated mortality risks that might be associated with radiation exposure.

Prevalence and burden of chronic migraine in adolescents: results of the chronic daily headache in adolescents study (C-dAS).

OBJECTIVE: To estimate the prevalence of chronic migraine (CM) among adolescents and to describe the epidemiologic profile, headache characteristics, disability, and healthcare utilization of adolescents with CM in the USA. BACKGROUND: Chronic daily headache (CDH) and CM occur in children and adolescents, but are poorly understood in these populations because their presentation is different from that in adults. It may be difficult to assign a definitive diagnosis to young people suffering from CDH because symptoms may fail to meet the criteria for one of the CDH subtypes. METHODS: A large sample of households with at least one resident aged 12 to 19 years was selected in balance with the US Census. Data were collected in 3 phases: (1) mailed questionnaire; (2) telephone interview; and (3) 30-day interactive voice response system diary. CM prevalence was estimated by adapting the second edition of the International Classification of Headache Disorders criteria for CM to include pediatric migraine diagnostic criteria. The population was stratified for medication overuse. Medication overuse was defined as 15 or more days per month of acute medication use. Included in the study were measures of headache characteristics, headache impact (Headache Impact Test), disability (Pediatric Migraine Disability Assessment), and healthcare and medication use. Data are reported on subjects 12 to 17 years of age only. RESULTS: The US adolescent (12-17 years) prevalence rate for CM was 0.79% (0.00-1.70) excluding those with medication overuse and 1.75% (0.62-2.89) when adolescents with medication overuse were included. The majority of adolescents with CM had Headache Impact Test scores greater than or equal to 60, indicating severe headache impact, and mean Pediatric Migraine Disability Assessment scores greater than 17, indicating severe headache and disability. The majority of adolescents with CM (approximately 60%) had not visited a healthcare provider in the previous year and less than one in 5 reported taking medications to prevent headaches during the last month. CONCLUSIONS: Results suggest that CM occurs less frequently in adolescents than adults, but like adults, adolescents are severely burdened by the disorder. Data support an unmet medical need; however, the development of optimal criteria for diagnosing adolescents with CM is critical to fully understanding how medical needs can be met within this complex population.

Lost productive time and costs due to diabetes and diabetic neuropathic pain in the US workforce.

OBJECTIVE: Estimate the impact of diabetes and neuropathic pain on the US workforce. METHODS: Data on lost productive time (LPT) was collected by telephone interview in a random sample of the US population (N=36,634). Of 19,075 occupation-eligible working adults included in the analysis, 1003 reported a physician diagnosis of diabetes; 38% of these reported numbness or tingling in feet or hands due to diabetes (symptom group). We compared diabetes respondents with and without symptoms to other respondents for LPT and related cost. RESULTS: Health-related LPT was 18% higher in the symptom (P<0.05) and 5% higher in the non-symptom (P<0.05) groups versus for those without diabetes. The symptom group lost 1.4 hours of work per week more than the non-symptom group (P<0.05). CONCLUSIONS: Workers who have diabetes with neuropathic symptoms lose the equivalent of $3.65 billion/yr in health-related LPT.

Fatigue in the U.S. workforce: prevalence and implications for lost productive work time.

OBJECTIVE: The objective of this study was to estimate fatigue prevalence and associated health-related lost productive time (LPT) in U.S. workers. METHODS: Fatigue prevalence, LPT due to fatigue, and LPT for any health-related reason (in hours and dollars) were measured in a national cross-sectional telephone survey of U.S. workers. RESULTS: The 2-week period prevalence of fatigue was 37.9%. Of workers with fatigue, 65.7% reported health-related LPT compared with 26.4% of those without fatigue. Workers with fatigue cost employers 136.4 billion dollars annually in health-related LPT, an excess of 101.0 billion dollars compared with workers without fatigue. Fatigue frequently co-occurs with other conditions and, when present, is associated with a threefold increase, on average, in the proportion of workers with condition-specific LPT. CONCLUSIONS: Fatigue is prevalent in the U.S. workforce. When occurring with other health conditions, it is associated with significantly more condition-specific LPT.

Back pain exacerbations and lost productive time costs in United States workers.

STUDY DESIGN: Cross-sectional with follow-up case-control component. OBJECTIVES: To measure the prevalence of back pain (BP) and back pain exacerbations, describe BP features and functional impairment, estimate BP-related lost productive time (LPT) and costs, and assess the relation between pain exacerbations and lost productive time. SUMMARY OF BACKGROUND DATA: BP is associated with substantial lost work time. However, little is known about the extent to which BP with or without exacerbation explains lost work time. METHODS: A national telephone survey of the U.S. workforce identified 320 workers 40 to 65 years of age with BP defined by NHANES I criteria and 91 matched non-BP controls. Participants self-reported pain characteristics, lost productive time (absenteeism and presenteeism) in the previous 2 weeks, activity limitations, and demographics. A population-weighting adjustment was applied to estimates to account for selection bias and ensure that estimates of certain sample demographic subgroups' totals conformed to the Current Population Survey. RESULTS: The 2-week period prevalence of BP was 15.1%; 42% of workers with BP experienced pain exacerbations. BP prevalence was associated with demographic factors, but BP exacerbations were not. BP was reported by 42.6% of all workers. Workers with exacerbations reported more days with BP than those without exacerbations. Workers with exacerbations were significantly more likely than those without such exacerbations to report activity limitation (88.4% vs. 60.7%; P < 0.0001) and BP-related LPT (22.1% vs. 13.0%; P = 0.0259). BP in workers 40 to 65 years of age costs employers an estimated $7.4 billion/year. Workers with BP exacerbations account for 71.6% of this cost. CONCLUSIONS: Workers with BP exacerbations account for a disproportionate share of the cost of BP-related lost productive time.

Lost productive time associated with excess weight in the U.S. workforce.

OBJECTIVE: The objective of this study was to examine health-related lost productive time (LPT) in overweight and obese workers. METHODS: Cross-sectional study using data from a national telephone survey of the U.S. workforce. Body mass index defined normal-weight, overweight, and obese workers. LPT in hours and dollars was compared among the three groups. RESULTS: Obese workers (42.3%) were significantly (P<0.0001) more likely to report LPT in the previous 2 weeks than normal-weight (36.4%) or overweight workers (34.7%). Health status mediated the relation between obesity and LPT. Obese workers cost an estimated $42.29 billion in LPT, an excess of $11.70 billion compared with normal-weight workers. Presenteeism accounted for 67.8% of the cost. Comparatively, overweight workers were not a significant source of excess LPT. CONCLUSIONS: Reducing excess weight in the workforce and improving the health of obese workers could positively impact U.S. workforce productivity.

Pain exacerbation as a major source of lost productive time in US workers with arthritis.

OBJECTIVE: To estimate the prevalence of arthritis and arthritis pain exacerbations in US workers including impact on functioning and lost productive work time (LPT). METHODS: The research was conducted as a nested case-control study of participants in the Caremark American Productivity Audit, a US national random-digit-dial survey of US workers. The sample included 329 workers ages 40-65 years meeting the First National Health and Nutrition Examination Survey criteria for arthritis, and 91 workers not meeting arthritis inclusion criteria. Participants completed a telephone interview to measure the prevalence of arthritis and pain exacerbations, LPT (in hours and dollars), functional disability using the Western Ontario and McMaster Universities Knee and Hip Osteoarthritis Index (WOMAC) and the Australian/Canadian Osteoarthritis Hand Index, and demographics. RESULTS: The prevalence of arthritis in US workers ages 40-65 years was 14.7% during the 2-week period. Pain exacerbation occurred among 38% of participants with arthritis. Workers with pain exacerbations were significantly more likely to have higher WOMAC scores (38.6 versus 29.6; P = 0.0041) and report arthritis-related LPT (24.4% versus 13.3%; P = 0.0118) than workers without exacerbations. Among those with LPT, average LPT did not differ (4.1 hours per week) between persons with and without exacerbations. The estimated annual LPT cost from arthritis in the US workforce was $7.11 billion, with 65.7% of this cost attributed to the 38% of workers with pain exacerbations. CONCLUSION: Workers with arthritis pain exacerbation account for a disproportionate share of the arthritis-related LPT cost. Stratifying workers for appropriate treatment management based on pain exacerbation status could significantly decrease arthritis-related LPT and offer employees and employers an effective return on health care use.

Validation of the work and health interview.

BACKGROUND: Instruments that measure the impact of illness on work do not usually provide a measure that can be directly translated into lost hours or costs. We describe the validation of the Work and Health Interview (WHI), a questionnaire that provides a measure of lost productive time (LPT) from work absence and reduced performance at work. METHOD: A sample (n = 67) of inbound phone call agents was recruited for the study. Validity of the WHI was assessed over a 2-week period in reference to workplace data (i.e. absence time, time away from call station and electronic continuous performance) and repeated electronic diary data (n = 48) obtained approximately eight times a day to estimate time not working (i.e. a component of reduced performance). RESULTS: The mean (median) missed work time estimate for any reason was 11 (8.0) and 12.9 (8.0) hours in a 2-week period from the WHI and workplace data, respectively, with a Pearson's (Spearman's) correlation of 0.84 (0.76). The diary-based mean (median) estimate of time not working while at work was 3.9 (2.8) hours compared with the WHI estimate of 5.7 (3.2) hours with a Pearson's (Spearman's) correlation of 0.19 (0.33). The 2-week estimate of total productive time from the diary was 67.2 hours compared with 67.8 hours from the WHI, with a Pearson's (Spearman's) correlation of 0.50 (0.46). CONCLUSION: At a population level, the WHI provides an accurate estimate of missed time from work and total productive time when compared with workplace and diary estimates. At an individual level, the WHI measure of total missed time, but not reduced performance time, is moderately accurate.

Pharmacy and medical claims data identified migraine sufferers with high specificity but modest sensitivity.

OBJECTIVE: Claims data are often used to identify and monitor individuals with particular conditions, but many health conditions are not easily recognizable from claims data alone. Patient characteristics routinely available in claims data were used to develop model-based claims signatures to identify migraineurs. STUDY DESIGN AND SETTING: A validated telephone interview was administered to 23,299 continuously enrolled managed care members aged 18-55 to identify 1,265 migraineurs and 1,178 controls. Responses were linked to medical and prescription claims. Claims variables were evaluated for sensitivity, specificity, and positive and negative predictive value in predicting migraine status. Regression models for predicting migraine status were developed. RESULTS: Regression-based claims signature models were successful in case-finding, as indicated by fairly sizable odds ratios (OR). In the full model (including demographic, medical, pharmacy, and comorbidity claims variables), a claim for a migraine drug, gender, and a claims-based headache diagnosis were strongly associated with migraine case status (OR=3.9, 3.2, and 3.0, respectively). CONCLUSION: Using either medical or pharmacy claims provided highly specific and moderately sensitive case-findings. Strategies that combined medical and pharmacy information improved sensitivity and may increase the usefulness of claims for identifying migraine and improving the quality of migraine care.

Lost productive work time costs from health conditions in the United States: results from the American Productivity Audit.

The American Productivity Audit (APA) is a telephone survey of a random sample of 28,902 U.S. workers designed to quantify the impact of health conditions on work. Lost productive time (LPT) was measured for personal and family health reasons and expressed in hours and dollars. Health-related LPT cost employers 225.8 billion US dollars/year (1685 US dollars/employee per year); 71% is explained by reduced performance at work. Personal health LPT was 30% higher in females and twice as high in smokers (> or =1 pack/day) versus nonsmokers. Workers in high-demand, low-control jobs had the lowest average LPT/week versus the highest LPT for those in low-demand, high-control jobs. Family health-related work absence accounted for 6% of all health-related LPT. Health-related LPT costs are substantial but largely invisible to employers. Costs vary significantly by worker characteristics, suggesting that intervention needs vary by specific subgroups.

Lost productive time and cost due to common pain conditions in the US workforce.

CONTEXT: Common pain conditions appear to have an adverse effect on work, but no comprehensive estimates exist on the amount of productive time lost in the US workforce due to pain. OBJECTIVE: To measure lost productive time (absence and reduced performance due to common pain conditions) during a 2-week period. DESIGN AND SETTING: Cross-sectional study using survey data from the American Productivity Audit (a telephone survey that uses the Work and Health Interview) of working adults between August 1, 2001, and July 30, 2002. PARTICIPANTS: Random sample of 28 902 working adults in the United States. MAIN OUTCOME MEASURES: Lost productive time due to common pain conditions (arthritis, back, headache, and other musculoskeletal) expressed in hours per worker per week and calculated in US dollars. RESULTS: Thirteen percent of the total workforce experienced a loss in productive time during a 2-week period due to a common pain condition. Headache was the most common (5.4%) pain condition resulting in lost productive time. It was followed by back pain (3.2%), arthritis pain (2.0%), and other musculoskeletal pain (2.0%). Workers who experienced lost productive time from a pain condition lost a mean (SE) of 4.6 (0.09) h/wk. Workers who had a headache had a mean (SE) loss in productive time of 3.5 (0.1) h/wk. Workers who reported arthritis or back pain had mean (SE) lost productive times of 5.2 (0.25) h/wk. Other common pain conditions resulted in a mean (SE) loss in productive time of 5.5 (0.22) h/wk. Lost productive time from common pain conditions among active workers costs an estimated 61.2 billion dollars per year. The majority (76.6%) of the lost productive time was explained by reduced performance while at work and not work absence. CONCLUSIONS: Pain is an inordinately common and disabling condition in the US workforce. Most of the pain-related lost productive time occurs while employees are at work and is in the form of reduced performance.

Cost of lost productive work time among US workers with depression.

CONTEXT: Evidence consistently indicates that depression has adversely affected work productivity. Estimates of the cost impact in lost labor time in the US workforce, however, are scarce and dated. OBJECTIVE: To estimate the impact of depression on labor costs (ie, work absence and reduced performance while at work) in the US workforce. DESIGN, SETTING, AND PARTICIPANTS: All employed individuals who participated in the American Productivity Audit (conducted August 1, 2001-July 31, 2002) between May 20 and July 11, 2002, were eligible for the Depressive Disorders Study. Those who responded affirmatively to 2 depression-screening questions (n = 692), as well as a 1:4 stratified random sample of those responding in the negative (n = 435), were recruited for and completed a supplemental interview using the Primary Care Evaluation of Mental Disorders Mood Module for depression, the Somatic Symptom Inventory, and a medical and treatment history for depression. Excess lost productive time (LPT) costs from depression were derived as the difference in LPT among individuals with depression minus the expected LPT in the absence of depression projected to the US workforce. MAIN OUTCOME MEASURE: Estimated LPT and associated labor costs (work absence and reduced performance while at work) due to depression. RESULTS: Workers with depression reported significantly more total health-related LPT than those without depression (mean, 5.6 h/wk vs an expected 1.5 h/wk, respectively). Eighty-one percent of the LPT costs are explained by reduced performance while at work. Major depression accounts for 48% of the LPT among those with depression, again with a majority of the cost explained by reduced performance while at work. Self-reported use of antidepressants in the previous 12 months among those with depression was low (<33%) and the mean reported treatment effectiveness was only moderate. Extrapolation of these survey results and self-reported annual incomes to the population of US workers suggests that US workers with depression employed in the previous week cost employers an estimated 44 billion dollars per year in LPT, an excess of 31 billion dollars per year compared with peers without depression. This estimate does not include labor costs associated with short- and long-term disability. CONCLUSIONS: A majority of the LPT costs that employers face from employee depression is invisible and explained by reduced performance while at work. Use of treatments for depression appears to be relatively low. The combined LPT burden among those with depression and the low level of treatment suggests that there may be cost-effective opportunities for improving depression-related outcomes in the US workforce.