Industry-specific prevalence of elevated blood lead levels among Pennsylvania workers, 2007-2018.

OBJECTIVES: To use industry-specific denominators to more accurately examine trends in prevalence rates for occupational cases of elevated blood lead levels (eBLLs) in Pennsylvania. METHODS: We used adult (aged ≥16 years) blood lead level data from Pennsylvania (2007-2018) and industry-specific denominator data from the US Census Bureau's County Business Patterns to calculate prevalence rates for eBLLs, defined as ≥25 µg/dL. RESULTS: Of the 19 904 cases with eBLLs, 92% were due to occupational lead exposure, with 83% from workers in the battery manufacturing industry. In 2018, the prevalence rate of eBLLs for battery manufacturing (8036.4 cases per 100 000 employed battery manufacturing workers) was 543 times the overall Pennsylvania prevalence rate. The prevalence rate for battery manufacturing steeply declined 71% from 2007 to 2018. CONCLUSIONS: The battery manufacturing industry had the highest burden of occupational lead exposure in Pennsylvania, illustrating the importance of using industry-specific denominators to accurately identify sources of lead exposure. Although the prevalence rate of eBLLs declined over time, lead exposure remains a major concern among battery manufacturing workers.

Integrating Childhood and Adult Blood Lead Surveillance to Improve Identification and Intervention Efforts.

The Centers for Disease Control and Prevention (CDC) collects information on blood lead levels (BLLs) in the United States through the Childhood Blood Lead Surveillance (CBLS) system (<16 years of age) and the Adult Blood Lead Epidemiology and Surveillance (ABLES) program (≥16 years of age). While both of these state-based national programs share the mutual goal of monitoring and reducing lead exposure in the US population, blood lead data for children and adults are maintained in separate data collection systems. This limits the ability to fully describe lead exposure in the US population across these 2 distinct population groups from sources such as take-home and maternal-child lead exposure. In addition, at the state level, having a unified system to collect, maintain, and analyze child and adult blood lead data provides a more efficient use of limited resources. Based on feedback from state partners, CDC is working to integrate CBLS and ABLES data collection systems at the national level. Several states have developed or are developing an integrated child and adult blood lead data collection system. We highlight efforts undertaken in Wisconsin, Minnesota, North Carolina, Iowa, and Oregon to investigate workplace and take-home lead exposure. Integrating blood lead surveillance data at the national level will enhance CDC's ability to monitor sources of lead exposure from both the home and work environments including paint, water, soil, dust, consumer products, and lead-related industries. Together, an integrated child and adult blood lead surveillance system will offer a coordinated, comprehensive, and systematic public health approach to the surveillance and monitoring of reported BLLs across the US population.

Codability of industry and occupation information from cancer registry records: Differences by patient demographics, casefinding source, payor, and cancer type.

INTRODUCTION: Industry and occupation (I&O) information collected by cancer registries is useful for assessing associations among jobs and malignancies. However, systematic differences in I&O availability can bias findings. METHODS: Codability by patient demographics, payor, identifying (casefinding) source, and cancer site was assessed using I&O text from first primaries diagnosed 2011-2012 and reported to California Cancer Registry. I&O were coded to a U.S. Census code or classified as blank/inadequate/unknown, retired, or not working for pay. RESULTS: Industry was codable for 37% of cases; 50% had "unknown" and 9% "retired" instead of usual industry. Cases initially reported by hospitals, covered by preferred providers, or with known occupational etiology had highest codable industry; cases from private pathology laboratories, with Medicaid, or diagnosed in outpatient settings had least. Occupation results were similar. CONCLUSIONS: Recording usual I&O for retirees and improving linkages for reporting entities without patient access would improve I&O codability and research validity.

Risk of cancer among firefighters in California, 1988-2007.

BACKGROUND: Most studies of firefighter cancer risks were conducted prior to 1990 and do not reflect risk from advances in building materials. METHODS: A case-control study using California Cancer Registry data (1988-2007) was conducted to evaluate the risk of cancer among firefighters, stratified by race. RESULTS: This study identified 3,996 male firefighters with cancer. Firefighters were found to have a significantly elevated risk for melanoma (odds ratio [OR] = 1.8; 95% confidence interval [CI] 1.4-2.1), multiple myeloma (OR 1.4; 95%CI 1.0-1.8), acute myeloid leukemia (OR 1.4; 95%CI 1.0-2.0), and cancers of the esophagus (OR 1.6; 95%CI 1.2-2.1), prostate (OR 1.5; 95%CI 1.3-1.7), brain (OR 1.5; 95%CI 1.2-2.0), and kidney (OR 1.3; 95%CI 1.0-1.6). CONCLUSIONS: In addition to observing cancer findings consistent with previous research, this study generated novel findings for firefighters with race/ethnicity other than white. It provides additional evidence to support the association between firefighting and several specific cancers.

Acute illness associated with use of pest strips - seven U.S. States and Canada, 2000-2013.

Dichlorvos-impregnated resin strips (DDVP pest strips) are among the few organophosphate products still available for indoor residential use. The residential uses for most other organophosphate products, including most DDVP products, were canceled because they posed unreasonable risks to children. DDVP pest strips act by inhibiting acetylcholinesterase activity in the brain and nerves of insect pests and are designed to gradually release DDVP vapor for up to 4 months. Acute illnesses in humans associated with nonlethal acute exposures usually resolve completely, but recovery is not always rapid. To assess the frequency of acute illnesses associated with DDVP pest strips, cases from 2000 through June 2013 were sought from the 12 states that participate in the Sentinel Event Notification System for Occupational Risks (SENSOR)-Pesticides Program, the National Pesticide Information Center (NPIC), and Health Canada.* A total of 31 acute DDVP pest strip-related illness cases were identified in seven U.S. states and Canada. The majority of these illnesses resulted from use of the product in commonly occupied living areas (e.g., kitchens and bedrooms), in violation of label directions. Although 26 of the 31 cases involved mild health effects of short duration, five persons had moderate health effects. Illnesses caused by excess exposure to DDVP pest strips can be reduced by educating the public about the proper usage of DDVP pest strips and with improvements in label directions.

Shift work and cancer screening: do females who work alternative shifts undergo recommended cancer screening?

BACKGROUND: Alternative shift work is classified as a probable human carcinogen. Certain cancer screening tests reduce cancer mortality. METHODS: The 2010 National Health Interview Survey was used to examine associations between adherence to breast, cervical, and colon cancer screening recommendations and alternative shift work among female workers. RESULTS: Workers on alternative shifts, compared to workers on daytime shifts, were more likely to be non-adherent to screening recommendations for breast (34% vs. 23%) and colorectal (55% vs. 48%) cancer (P < 0.05). Workers on alternative shifts in two industries ("Manufacturing" and "Accommodation/Food Services") and three occupations ("Food Preparation/Serving," "Personal Care Services," and "Production") were more likely to be non-adherent to screening recommendations for at least two cancers (P < 0.05). CONCLUSIONS: The Affordable Care Act eliminates out-of-pocket screening expenses for these three cancers. Greater efforts are needed to promote this benefit, particularly among workers with demonstrated non-adherence. Am. J. Ind. Med. 57:265-275, 2014. Published 2013. This article is a U.S. Government work and is in the public domain in the USA.

Prevalence of Diagnosed Diabetes Among Employed US Adults by Demographic Characteristics and Occupation, 36 States, 2014 to 2018.

OBJECTIVE: To assess the prevalence of diagnosed diabetes among employed US adults from 36 states by occupation group using data from 2014 to 2018 Behavioral Risk Factor Surveillance System. METHODS: Prevalence of diabetes was calculated by 22 broad and 93 detailed occupation groups among a sample of 366,633 employed respondents. Wald chi-square values were used to determine the significance of associations between diabetes and occupation groups after adjusting for sex, age, and race/ethnicity. RESULTS: The prevalence of diabetes was 6.4% among employed US adults. The three broad occupation groups with the highest adjusted prevalence of diabetes were protective services (8.9%), farming, fishing, and forestry (8.8%), and community and social services (8.4%). CONCLUSIONS: Prevalence of diabetes differed by occupation. Work-related factors (eg, shift work, job stress) should be further examined in relation to risk of developing diabetes.

Development of Job Exposure Matrices to Estimate Occupational Exposure to Solar and Artificial Ultraviolet Radiation.

OBJECTIVES: Job exposure matrices (JEMs) are important tools for estimating occupational exposures in study populations where only information on industry and occupation (I&O) are available. JEMs The objective of this work was to create JEMs for solar and artificial ultraviolet radiation (UVR) using a US standardized coding scheme. METHODS: Using U.S. Census Bureau industry and occupation codes, separate lists of I&O pairs were developed for solar and artificial UVR by a panel of Certified Industrial Hygienists who assigned exposure ratings to I&O pairs with potential exposure. Parameters for exposure included prevalence (P) and frequency (F) for solar UVR and P, F, and intensity (I) for artificial UVR. Prevalence, or percent of all workers employed in an I&O pair who were exposed, was categorically rated: 0 to <1, 1 to <20; 20 to <80, and ≥80. Frequency of exposure, defined by the number of hours per week workers were exposed, was categorically rated: 0 to <5, 5 to <20, 20 to <35, and ≥35 h per week. For artificial UVR only, intensity of exposure was assigned three ratings: low, low with rare excursions, and >low under normal conditions. Discrepant ratings were resolved via consensus. RESULTS: After excluding I&O pairs assigned P and F ratings of 0 (solar UVR) and P, F, and I ratings of 0 (artificial UVR) from the JEM, 9206 I&O pairs were rated for solar UVR and 2010 I&O pairs for artificial UVR. For solar UVR, 723 (7.9% of all rated pairs) had ratings in the highest category for P and F; this group included 45 occupations in varied industries. Construction and extraction occupations represented most of the occupations (n = 20; 44%), followed by farming, fishing, and forestry occupations (n = 6; 13%). For artificial UVR, 87 I&O pairs (4.3% of all rated pairs) had maximum ratings for P, F, and I; these comprised a single occupation (welding, soldering, and brazing workers) in diverse industries. CONCLUSIONS: JEMs for solar and artificial UVR were developed for a broad range of I&O pairs in the US population and are available for use by researchers conducting occupational epidemiological studies.

The risk of developing arm lymphedema among breast cancer survivors: a meta-analysis of treatment factors.

BACKGROUND: As more women survive breast cancer, long-term complications that affect quality of life, such as lymphedema of the arm, gain greater importance. Numerous studies have attempted to identify treatment and prognostic factors for arm lymphedema, yet the magnitude of these associations remains inconsistent. METHODS: A PubMed search was conducted through January 2008 to locate articles on lymphedema and treatment factors after breast cancer diagnosis. Random-effect models were used to estimate the pooled risk ratio. RESULTS: The authors identified 98 independent studies that reported at least one risk factor of interest. The risk ratio (RR) of arm lymphedema was increased after mastectomy when compared with lumpectomy [RR = 1.42; 95% confidence interval (CI) 1.15-1.76], axillary dissection compared with no axillary dissection (RR = 3.47; 95% CI 2.34-5.15), axillary dissection compared with sentinel node biopsy (RR = 3.07; 95% CI 2.20-4.29), radiation therapy (RR = 1.92; 95% CI 1.61-2.28), and positive axillary nodes (RR = 1.54; 95% CI 1.32-1.80). These associations held when studies using self-reported lymphedema were excluded. CONCLUSIONS: Mastectomy, extent of axillary dissection, radiation therapy, and presence of positive nodes increased risk of developing arm lymphedema after breast cancer. These factors likely reflected lymph node removal, which most surgeons consider to be the largest risk factor for lymphedema. Future studies should consider examining sentinel node biopsy versus no dissection with a long follow-up time post surgery to see if there is a benefit of decreased lymphedema compared with no dissection.

Lymphedema following breast cancer: The importance of surgical methods and obesity.

BACKGROUND: Breast cancer-related arm lymphedema is a serious complication that can adversely affect quality of life. Identifying risk factors that contribute to the development of lymphedema is vital for identifying avenues for prevention. The aim of this study was to examine the association between the development of arm lymphedema and both treatment and personal (e.g., obesity) risk factors. METHODS: Women diagnosed with breast cancer in Iowa during 2004 and followed through 2010, who met eligibility criteria, were asked to complete a short computer assisted telephone interview about chronic conditions, arm activities, demographics, and lymphedema status. Lymphedema was characterized by a reported physician-diagnosis, a difference between arms in the circumference (> 2cm), or the presence of multiple self-reported arm symptoms (at least two of five major arm symptoms, and at least four total arm symptoms). Relative risks (RR) were estimated using logistic regression. RESULTS: Arm lymphedema was identified in 102 of 522 participants (19.5%). Participants treated by both axillary dissection and radiation therapy were more likely to have arm lymphedema than treated by either alone. Women with advanced cancer stage, positive nodes, and larger tumors along with a body mass index > 40 were also more likely to develop lymphedema. Arm activity level was not associated with lymphedema. CONCLUSIONS: Surgical methods, cancer characteristics and obesity were found to contribute to the development of arm lymphedema. Vigorous arm activity post-surgery was not found to increase the risk of arm lymphedema.

Precautionary Practices of Respiratory Therapists and Other Health-Care Practitioners Who Administer Aerosolized Medications.

BACKGROUND: Respiratory therapists (RTs) and other health-care workers are potentially exposed to a variety of aerosolized medications. The National Institute for Occupational Safety and Health (NIOSH) Health and Safety Practices Survey of Healthcare Workers describes current exposure control practices and barriers to using personal protective equipment during administration of selected aerosolized medications. METHODS: An anonymous, multi-module, web-based survey was conducted among members of health-care professional practice organizations representing RTs, nurses, and other health-care practitioners. A module on aerosolized medications included submodules for antibiotics (amikacin, colistin, and tobramycin), pentamidine, and ribavirin. RESULTS: The submodules on antibiotics, pentamidine, and ribavirin were completed by 321, 227, and 50 respondents, respectively, most of whom were RTs. The relatively low number of ribavirin respondents precluded meaningful interpretation of these data and may reflect the rare use of this drug. Consequently, analysis focused on pentamidine, classified by NIOSH as a hazardous drug, and the antibiotics amikacin, colistin, and tobramycin, which currently lack authoritative safe handling guidelines. Respondents who administered pentamidine were more likely to adhere to good work practices compared with those who administered the antibiotics. Examples included training received on safe handling procedures (75% vs 52%), availability of employer standard procedures (82% vs 55%), use of aerosol delivery devices equipped with an expiratory filter (96% vs 53%) or negative-pressure rooms (61% vs 20%), and always using respiratory protection (51% vs 13%). CONCLUSIONS: Despite the availability of safe handling guidelines for pentamidine, implementation was not universal, placing workers, co-workers, and even family members at risk of exposure. Although the antibiotics included in this study lack authoritative safe handling guidelines, prudence dictates that appropriate exposure controls be used to minimize exposure to the antibiotics and other aerosolized medications. Employers and employees share responsibility for ensuring that precautionary measures are taken to keep exposures to all aerosolized medications as low as practicable.

Acute myeloid leukemia risk by industry and occupation.

Acute myeloid leukemia (AML) is the most common type of leukemia found in adults. Identifying jobs that pose a risk for AML may be useful for identifying new risk factors. A matched case-control analysis was conducted using California Cancer Registry data from 1988 to 2007. This study included 8999 cases of AML and 24 822 controls. Industries with a statistically significant increased AML risk were construction (matched odds ratio [mOR] = 1.13); crop production (mOR = 1.41); support activities for agriculture and forestry (mOR = 2.05); and animal slaughtering and processing (mOR = 2.09). Among occupations with a statistically significant increased AML risk were miscellaneous agricultural workers (mOR = 1.76); fishers and related fishing workers (mOR = 2.02); nursing, psychiatric and home health aides (mOR = 1.65); and janitors and building cleaners (mOR = 1.54). Further investigation is needed to confirm study findings and to identify specific exposures responsible for the increased risks.