Acute joint pain in the emerging green collar workforce: Evidence from the linked National Health Interview Survey and Occupational Information Network (O*NET).

BACKGROUND: Green jobs are a rapidly emerging category of very heterogeneous occupations that typically involve engagement with new technologies and changing job demands predisposing them to physical stressors that may contribute to the development of joint pain. METHODS: We estimated and compared the prevalence of self-reported acute (past 30 days) joint pain between green and non-green collar workers using pooled 2004-2012 National Health Interview Survey (NHIS) data linked to the Occupational Information Network Database (O*NET). RESULTS: Green collar workers have a higher prevalence of acute joint pain as compared to non-green collar workers. Green collar workers with pain in the upper extremity joints were significantly greater than in the non-green collar workforce, for example, right shoulder [23.2% vs 21.1%], right elbow [13.7% vs 12.0%], left shoulder [20.1% vs 18.2%], and left elbow [12.0% vs 10.7%]. CONCLUSIONS: Acute joint pain reported by the emerging green collar workforce can assist in identifying at risk worker subgroups for musculoskeletal pain interventions.

Who Uses Mobile Phone Health Apps and Does Use Matter? A Secondary Data Analytics Approach.

BACKGROUND: Mobile phone use and the adoption of healthy lifestyle software apps ("health apps") are rapidly proliferating. There is limited information on the users of health apps in terms of their social demographic and health characteristics, intentions to change, and actual health behaviors. OBJECTIVE: The objectives of our study were to (1) to describe the sociodemographic characteristics associated with health app use in a recent US nationally representative sample; (2) to assess the attitudinal and behavioral predictors of the use of health apps for health promotion; and (3) to examine the association between the use of health-related apps and meeting the recommended guidelines for fruit and vegetable intake and physical activity. METHODS: Data on users of mobile devices and health apps were analyzed from the National Cancer Institute's 2015 Health Information National Trends Survey (HINTS), which was designed to provide nationally representative estimates for health information in the United States and is publicly available on the Internet. We used multivariable logistic regression models to assess sociodemographic predictors of mobile device and health app use and examine the associations between app use, intentions to change behavior, and actual behavioral change for fruit and vegetable consumption, physical activity, and weight loss. RESULTS: From the 3677 total HINTS respondents, older individuals (45-64 years, odds ratio, OR 0.56, 95% CI 0.47-68; 65+ years, OR 0.19, 95% CI 0.14-0.24), males (OR 0.80, 95% CI 0.66-0.94), and having degree (OR 2.83, 95% CI 2.18-3.70) or less than high school education (OR 0.43, 95% CI 0.24-0.72) were all significantly associated with a reduced likelihood of having adopted health apps. Similarly, both age and education were significant variables for predicting whether a person had adopted a mobile device, especially if that person was a college graduate (OR 3.30). Individuals with apps were significantly more likely to report intentions to improve fruit (63.8% with apps vs 58.5% without apps, P=.01) and vegetable (74.9% vs 64.3%, P<.01) consumption, physical activity (83.0% vs 65.4%, P<.01), and weight loss (83.4% vs 71.8%, P<.01). Individuals with apps were also more likely to meet recommendations for physical activity compared with those without a device or health apps (56.2% with apps vs 47.8% without apps, P<.01). CONCLUSIONS: The main users of health apps were individuals who were younger, had more education, reported excellent health, and had a higher income. Although differences persist for gender, age, and educational attainment, many individual sociodemographic factors are becoming less potent in influencing engagement with mobile devices and health app use. App use was associated with intentions to change diet and physical activity and meeting physical activity recommendations.

Using the Health Literacy Universal Precautions Toolkit to Improve the Quality of Patient Materials.

Patient materials are often written above the reading level of most adults. Tool 11 of the Health Literacy Universal Precautions Toolkit ("Design Easy-to-Read Material") provides guidance on ensuring that written patient materials are easy to understand. As part of a pragmatic demonstration of the Toolkit, we examined how four primary care practices implemented Tool 11 and whether written materials improved as a result. We conducted interviews to learn about practices' implementation activities and assessed the readability, understandability, and actionability of patient education materials collected during pre- and postimplementation site visits. Interview data indicated that practices followed many action steps recommended in Tool 11, including training staff, assessing readability, and developing or revising materials, typically focusing on brief documents such as patient letters and information sheets. Many of the revised and newly developed documents had reading levels appropriate for most patients and--in the case of revised documents--better readability than the original materials. In contrast, the readability, understandability, and actionability of lengthier patient education materials were poor and did not improve over the 6-month implementation period. Findings guided revisions to Tool 11 and highlighted the importance of engaging multiple stakeholders in improving the quality of patient materials.

Linkage of 1986-2009 National Health Interview Survey with 1981-2010 Florida Cancer Data System.

BACKGROUND: National survey data linked with state cancer registry data has the potential to create a valuable tool for cancer prevention and control research. A pilot project-developed in a collaboration of the Centers for Disease Control and Prevention's National Center for Health Statistics (NCHS) and the Florida Cancer Data System (FCDS) at the University of Miami -links the records of the 1986-2009 National Health Interview Survey (NHIS) and the 1981-2010 FCDS. The project assesses the feasibility of performing a record linkage between NCHS survey data and a state-based cancer registry, as well as the value of the data produced. The linked NHIS-FCDS data allow researchers to follow NHIS survey participants longitudinally to examine factors associated with future cancer diagnosis, and to assess the characteristics and quality of life among cancer survivors. METHODS: This report provides a preliminary evaluation of the linked national and state cancer data and examines both analytic issues and complications presented by the linkage. CONCLUSIONS: Residential mobility and the number of years of data linked in this project create some analytic challenges and limitations for the types of analyses that can be conducted. However, the linked data set offers the ability to conduct analyses not possible with either data set alone.

Correlates of leisure time physical activity compliance in colorectal cancer survivors.

INTRODUCTION: Physical inactivity is a risk factor for cancer morbidity and mortality, but its influence in colorectal cancer (CRC) survivors is understudied. We investigated sociodemographic, physically limiting, and behavioral predictors influencing leisure time physical activity (LTPA) among CRC survivors. METHODS: Pooled 1997-2010 National Health Interview Survey data (N=2378) were used to evaluate LTPA compliance in CRC survivors according to Healthy People 2010 recommendations. Univariate and multivariable logistic regression analyses were performed to identify predictors of LTPA compliance among CRC survivors. Independent variables included: age, gender, race/ethnicity, education, health insurance, body mass index (BMI), ≥2 chronic conditions limiting physical activity, time since cancer diagnosis, and poverty, marital, smoking and alcohol status. RESULTS: Multivariable regression models reveal that Hispanics, non-Hispanic Blacks, those with ≥2 physically limiting chronic conditions, and current smokers were less likely to comply with LTPA recommendations. CRC survivors who were of "other" race, more than one race, those with some college degree or college degree, and current drinkers were more likely to comply. DISCUSSION: Hispanics, non-Hispanic Blacks, those with >2 physically limiting chronic conditions and current smokers warrant additional efforts to encourage physical activity and to determine the impact of regular physical activity on CRC survivorship.

Potential effects of polychlorinated biphenyls (PCBs) and selected organochlorine pesticides (OCPs) on immune cells and blood biochemistry measures: a cross-sectional assessment of the NHANES 2003-2004 data.

BACKGROUND: Polychlorinated biphenyls (PCBs) and organochlorine pesticides (OCPs) are widely distributed in the environment and may have adverse effects on the immune system. METHODS: Lipid adjusted serum levels of 19 Dioxin Like (DL), 17 Non Dioxin Like (NDL) PCBs, 5 OCPs, and measures of complete blood count and routine biochemistry profile were obtained from the NHANES 2003-2004 cycle. For each of the PCB/OCP variables, individuals were put into four exposure groups and blood markers were compared across these groups. RESULTS: Serum levels of PCBs and OCPs increased with age. Total white blood cell (WBC) count, red blood cells (RBC), hemoglobin, and hematocrit measures were lowest in the group with the highest serum PCBs. Results for the OCPs varied. For Mirex, WBC declined in the highest exposure; no significant differences were observed for p-p'-DDT or p-p'-DDE; and higher levels of WBC were observed at the highest exposure groups of serum trans-nonachlor and oxychlordane. Liver enzymes (AST, ALT, and GGT) were significantly higher in the highest exposure groups of PCBs/OCPs. CONCLUSIONS: We observed significant associations between PCB/OCP levels and blood markers in the general population. All of the levels were within normal ranges but the consistency of results is remarkable and may reflect subclinical effects. Largest differences were observed for NDL PCBs. Thus, routine application of toxic equivalency factors, which assume dioxin like mechanisms and aryl hydrocarbon receptor involvement, may not adequately reflect the effects of NDL PCBs in the mixture.

The economic burden of disease by industry: Differences in quality-adjusted life years and associated costs.

BACKGROUND: This study compares differences in quality-adjusted life expectancy across the eight original National Occupational Research Agenda (NORA) industry sectors. METHODS: Data from the 1997 to 2012 National Health Interview Survey (NHIS) were used to estimate quality-adjusted life years (QALYs) for all workers and by NORA sector. Differences in QALYs were calculated and translated into economic values using estimates of the societal willingness-to-pay per QALY. RESULTS: Mean QALYs across workers was 29.17 years. Among NORA sectors, wholesale, and retail trade workers had the highest average QALYs remaining (35.88), while mining workers had the lowest QALYs (31.4). The economic value of this difference ranges from $604,843 to $1,155,287 per worker depending on the societal willingness-to-pay per QALY. CONCLUSION: The value of life lost within some industries is very high relative to others. Additional investments in occupational safety, benefits, and health promotion initiatives may reduce these losses, but experimental research is needed to assess the effectiveness of such programs.

Geographical variation in health-related quality of life among older US adults, 1997-2010.

INTRODUCTION: Health-related quality of life (HRQOL) is an important predictor of morbidity and mortality; however, its geographical variation in older adults in the United States has not been characterized. We compared HRQOL among older adults in the 50 US states and the District of Columbia using the Health and Activities Limitation Index (HALex). We also compared the HRQOL of 4 regions: South, West, Midwest, and Northeast. METHODS: We analyzed pooled data from 1997 through 2010 from the National Health Interview Survey for participants aged 65 or older. HALex scores (which range from 0 to 1.00, with higher values indicating better health) were calculated by combining data on participants' perceived health and activity limitations. We ranked states by mean HALex score and performed multivariable logistic regression analyses to compare low scores (defined as scores in the lowest quintile) among US regions after adjustment for sociodemographics, health behaviors, and survey design. RESULTS: Older residents of Alaska, Alabama, Arkansas, Mississippi, and West Virginia had the lowest mean HALex scores (range, 0.62-0.68); residents of Arizona, Delaware, Nevada, New Hampshire, and Vermont had the highest mean scores (range, 0.78-0.79). Residents in the Northeast (odds ratio [OR], 0.66; 95% confidence interval [CI], 0.57-0.76) and the Midwest (OR, 64; 95% CI, 0.56-0.73) were less likely than residents in the South to have scores in the lowest quintile after adjustment for sociodemographics, health behaviors, and survey design. CONCLUSION: Significant regional differences exist in HRQOL of older Americans. Future research could provide policy makers with information on improving HRQOL of older Americans.

Worker populations at risk for work-related injuries across the life course.

BACKGROUND: Workplace injuries can have a substantial economic impact. Rates of workplace injuries differ across age groups, yet occupations/industry sectors at highest risk within age groups have not been identified. We examined workplace injury risk across industry sectors for three age groups using nationally representative U.S. data. METHODS: Data from 1997 to 2009 National Health Interview Survey (NHIS) were pooled for employed adults by age groups: (1) 18-25 (n = 22,261); (2) 26-54 (n = 121,559); and (3) 55+ (n = 24,851). Workplace injury risk comparisons were made using logistic regression, with the Services sector as the referent and adjustment for sample design, gender, education, race/ethnicity, age, and income-to-poverty ratio. RESULTS: Overall 3-month injury prevalence was 0.88%. Highest risk sectors for workers aged 18-25 included: Agriculture/forestry/fisheries (odds ratio = 4.80; 95% confidence interval 2.23-10.32), Healthcare/social assistance (2.71; 1.50-4.91), Construction (2.66; 1.56-4.53), Manufacturing (2.66; 1.54-4.61); for workers 26-54: Construction (2.30; 1.76-3.0), Agriculture/forestry/fisheries (1.91; 1.16-3.15), and Manufacturing (1.58; 1.28-1.96); for workers 55+: Agriculture/forestry/fisheries (3.01; 1.16-7.81), Transportation/communication/other public utilities (2.55; 1.44-4.49), and Construction (2.25; 1.09-4.67). CONCLUSIONS: Agriculture/forestry/fisheries and Construction were among the sectors with highest workplace injury risk for workers across all age groups. Differences in highest risk industries were identified between the youngest and oldest industry groups. Our results indicate a need for age-specific interventions in some industries, and a need for more comprehensive measures in others.

State variations of chronic disease risk factors in older Americans.

The objective of this study was to examine and compare 3 key health behaviors associated with chronic disease (ie, risky drinking, smoking, and sedentary lifestyle). We used data from the National Health Interview Survey from 1997 through 2010 to calculate the prevalence of these behaviors among older Americans and rank each state, and we analyzed overall trends in prevalence for each behavior over the 14 years. Older adults residing in Arkansas and Montana had the worst chronic disease risk profile compared with other states. These findings indicate the need for improved or increased targeted interventions in these states.

Comparison of Florida skin cancer screening rates with those in different US regions.

OBJECTIVES: Florida has the second highest incidence of melanoma in the United States, and more than 600 Floridians die from melanoma annually. Given the lack of population-based data on skin cancer screening among the different US geographic regions, we compared skin cancer screening rates among Floridians to those in the rest of the South, the Northeast, the Midwest, and the West. METHODS: We used data from the 2000 and 2005 National Health Interview Survey. Data were grouped according to whether participants reported ever receiving a skin cancer examination in their lifetime. Data were pooled, and analyses accounted for sample weights and design effects. Multivariable logistic regression analyses were performed with self-reported skin screening as the outcome of interest. RESULTS: Results showed that compared to the rest of the US, Floridians who were women 70 years old and older, reported being of "other" race, of non-Hispanic ethnicity, having a high school education, having health insurance, and employed in the service industry or unemployed, had significantly higher lifetime skin cancer screening rates than their subgroup counterparts residing in the other regions. Multivariable logistic regression showed that Floridians remained significantly more likely to have ever been screened for skin cancer compared to the other US regions after controlling for a variety of sociodemographic variables. CONCLUSIONS: Increasing melanoma detection remains a national cancer goal for the US, and future identification of underlying causal factors for higher screening rates in Florida could inform intervention strategies in the other US regions.

Arthritis, occupational class, and the aging US workforce.

OBJECTIVES: The working poor sometimes delay retirement to survive. However, their higher risk of disease and disability threatens both their financial survival and their ability to work through the retirement years. We used the burden of disease attributable to arthritis by occupational class to illustrate the challenges faced by the older poor. METHODS: We merged data from the National Health Interview Survey, Medical Expenditure Panel Survey, and the National Death Index into a single database. We then calculated and compared age- and occupational class-specific quality-adjusted life years (QALYs) between workers with and without arthritis by using unabridged life tables. RESULTS: White-collar workers have a higher overall health-related quality of life than do other workers, and suffer fewer QALYs lost to arthritis at all ages. For instance, whereas 65-year-old white-collar workers without arthritis look forward to 17 QALYs of future life, blue-collar workers with arthritis experience only 11, and are much less likely to remain in the workforce than are those in service, farming, or white-collar jobs. CONCLUSIONS: To meet the needs of the aging workforce, more extensive health and disability insurance will be needed.

Working with cancer: health and disability disparities among employed cancer survivors in the U.S.

INTRODUCTION: Approximately 40% of Americans annually diagnosed with cancer are working-age adults. Using a nationally representative database, we characterized differences in health status and occupation of working cancer survivors and persons without cancer. METHODS: Cross-sectional data pooled from the 1997-2009 US National Health Interview Survey for adults with self-reported physician-diagnosed cancer (n=22,952) and those without (n=358,495), were analyzed. Multivariable logistic regression was used to compare the health and disability status of employed cancer survivors across occupational sectors relative to workers without a cancer history and unemployed cancer survivors. RESULTS: Relative to workers with no cancer history, cancer survivors were more likely (OR; 95%CI) to be white-collar workers and less likely to be service workers. Working cancer survivors were significantly less likely than unemployed survivors, but more likely than workers with no cancer history, to report poor-fair health (0.25; 0.24-0.26) and (2.06; 1.96-2.17) respectively, and ≥ 2 functional limitations (0.37; 0.35-0.38) and (1.72; 1.64-1.80) respectively. Among employed cancer survivors, blue-collar workers reported worse health outcomes, yet they reported fewer workdays missed than white-collar workers. CONCLUSION: Blue-collar cancer survivors are working with high levels of poor health and disability. These findings support the need for workplace accommodations for cancer survivors in all occupational sectors, especially blue-collar workers.

Occupational vs. industry sector classification of the US workforce: which approach is more strongly associated with worker health outcomes?

OBJECTIVES: Through use of a nationally representative database, we examined the variability in both self-rated health and overall mortality risk within occupations across the National Occupational Research Agenda (NORA) Industry Sectors, as well as between the occupations within the NORA Industry sectors. METHODS: Using multiple waves of the National Health Interview Survey (NHIS) representing an estimated 119,343,749 US workers per year from 1986 to 2004, age-adjusted self-rated health and overall mortality rates were examined by occupation and by NORA Industry Sector. RESULTS: There was considerable variability in the prevalence rate of age-adjusted self-rated poor/fair health and overall mortality rates for all US workers. The variability was greatest when examining these data by the Industry Sectors. In addition, we identified an overall pattern of increased poor/fair self-reported health and increased mortality rates concentrated among particular occupations and particular Industry Sectors. CONCLUSIONS: This study suggests that using occupational categories within and across Industry Sectors would improve the characterization of the health status and health disparities of many subpopulations of workers within these Industry Sectors.

Secondhand smoke exposure and depressive symptoms.

OBJECTIVE: To evaluate the association between secondhand smoke (SHS) exposure and depression. Tobacco smoking and depression are strongly associated, but the possible effects of SHS have not been evaluated. METHODS: The 2005 to 2006 National Health and Nutrition Examination Survey (NHANES) is a cross-sectional sample of the noninstitutionalized civilian U.S. population. SHS exposure was measured in adults aged > or =20 years by serum cotinine and depressive symptoms by the Patient Health Questionnaire. Zero-inflated Poisson regression analyses were completed with adjustment for survey design and potential confounders. RESULTS: Serum cotinine-documented SHS exposure was positively associated with depressive symptoms in never-smokers, even after adjustment for age, race/ethnicity, gender, education, alcohol consumption, and medical comorbidities. The association between SHS exposure and depressive symptoms did not vary by gender, nor was there any association between SHS smoke exposure and depressive symptoms in former smokers. CONCLUSIONS: Findings from the present study suggest that SHS exposure is positively associated with depressive symptoms in never-smokers and highlight the need for further research to establish the mechanisms of association.

Sustained low influenza vaccination rates in US healthcare workers.

INTRODUCTION: A substantial morbidity and mortality burden attributable to the influenza virus is observed annually in the United States. Healthcare workers are an occupational group at increased risk of exposure, demonstrated to transmit influenza to their patient populations, and vital to the care of these patient populations. The prevention of the spread of the flu is a significant public health concern. In the present study, we examined influenza vaccination rates and their 5-year trends within the major occupational healthcare worker groups and compared them to non-Healthcare Workers. METHODS: Using data from the nationally representative 2004-2008 National Health Interview Survey (NHIS), US healthcare workers (n=6349) were analyzed. RESULTS: Seasonal influenza vaccination coverage estimates remain low among all healthcare workers, highest among the health diagnosing and treating practitioners (52.3%), and lowest among other healthcare support occupations (32.0%). Among all other occupational groups, pooled influenza vaccination rates were highest for white collar workers (24.7%), and lowest for farm workers (11.7%). There were no significant upward or downward trends in influenza vaccination rates for any healthcare or other occupational worker group during the 5-year survey period. CONCLUSION: Improving these low vaccination rates among healthcare workers warrants a comprehensive national approach to influenza prevention that includes education and strong encouragement of routine annual vaccination among healthcare workers. Policy enhancements such as free provision of seasonal influenza vaccine, coverage for treatment and workers compensation for vaccine-related complications are needed.

Sleep disorders and secondhand smoke exposure in the U.S. population.

INTRODUCTION: Sleep disorders in the United States are pervasive and have been linked to increased risk of injury, morbidity, and mortality. Smoking is a known risk factor for sleep disorders; the association between secondhand smoke (SHS) exposure and sleep disorders is less clear. We sought to examine the relationship between SHS exposure and sleep disorders among a representative sample of U.S. adults (n = 4,123). METHODS: Data were from the 2005-2006 National Health and Nutrition Examination Survey. Multivariable logistic regression models examined the association between both smoking and SHS exposure with two measures of sleep disorder (i.e., self-reported health care provider diagnosis and self-report of two or more sleep symptoms). SHS exposure status was based on a combination of self-report and serum cotinine levels. RESULTS: Relative to nonsmokers without SHS exposure, smokers were significantly more likely to have been diagnosed with a sleep disorder (odds ratio [OR] = 1.73 [95% CI = 1.16-2.60]) and more likely to report at least two sleep disorder symptoms (OR = 1.42 [95% CI = 1.09-1.84]). SHS-exposed nonsmokers were not significantly more likely to report a sleep disorder or sleep symptoms (OR = 1.43 [95% CI = 0.79-2.57] and OR = 1.03 [95% CI = 0.83-1.27]), respectively. DISCUSSION: Although smoking appears to play an important role in the prevalence of sleep disorders in the U.S. adult population, the role of SHS exposure is inconclusive and warrants further investigation.

Changes in Work Habits of Lifeguards in Relation to Florida Red Tide.

The marine dinoflagellate, Karenia brevis, is responsible for Florida red tides. Brevetoxins, the neurotoxins produced by K. brevis blooms, can cause fish kills, contaminate shellfish, and lead to respiratory illness in humans. Although several studies have assessed different economic impacts from Florida red tide blooms, no studies to date have considered the impact on beach lifeguard work performance. Sarasota County experiences frequent Florida red tides and staffs lifeguards at its beaches 365 days a year. This study examined lifeguard attendance records during the time periods of March 1 to September 30 in 2004 (no bloom) and March 1 to September 30 in 2005 (bloom). The lifeguard attendance data demonstrated statistically significant absenteeism during a Florida red tide bloom. The potential economic costs resulting from red tide blooms were comprised of both lifeguard absenteeism and presenteeism. Our estimate of the costs of absenteeism due to the 2005 red tide in Sarasota County is about $3,000. On average, the capitalized costs of lifeguard absenteeism in Sarasota County may be on the order of $100,000 at Sarasota County beaches alone. When surveyed, lifeguards reported not only that they experienced adverse health effects of exposure to Florida red tide but also that their attentiveness and abilities to take preventative actions decrease when they worked during a bloom, implying presenteeism effects. The costs of presenteeism, which imply increased risks to beachgoers, arguably could exceed those of absenteeism by an order of magnitude. Due to the lack of data, however, we are unable to provide credible estimates of the costs of presenteeism or the potential increased risks to bathers.

Declining health insurance access among US Hispanic workers: not all jobs are created equal.

INTRODUCTION: Approximately 18% of the U.S. population are uninsured, a proportion that may continue to rise, particularly among Hispanics, as the cost of medical care increases faster than the growth in wages. METHODS: Health insurance trends were analyzed by race-ethnic category, and among Hispanic workers by occupation type and industrial sector, using data on employed respondents > or =18 years from 1997 to 2007 National Health Interview Survey (NHIS) (mean annual n = 17,392, representing 123 million US workers on average over this 11 year period). RESULTS: From 1997 to 2007, the relative decline in health insurance coverage for US workers was greatest among Hispanics (7.0%). Hispanic workers in the Construction and Services industries had the greatest overall decline in coverage (24.9% and 14.7%), as well as Hispanic blue collar workers (14.0%). CONCLUSION: Hispanic workers in general, and those employed in blue collar, construction, and services sectors in particular, are at greater risk for poor access to health care due to a lack of health insurance coverage.

Cancer screening in US workers.

Regular cancer screening can prevent the development of some cancers and increase patient survival for other cancers. We evaluated the reported cancer screening prevalence among a nationally representative sample of all US workers with data from the 2000 and 2005 Cancer Screening Supplements of the National Health Interview Survey. Overall, workers with the lowest rates of health insurance coverage (in particular, Hispanic workers, agricultural workers, and construction workers) reported the lowest cancer screening. There was no significant improvement from 2000 to 2005.