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Cystoviridae is a family of double stranded RNA (dsRNA) phage that infects various strains of Pseudomonas syringae , a Gram-negative soil bacteria known to infect various crops. Surrounding the icosahedral capsids of these phages is a bacterial derived phospholipid membrane. Embedded within this membrane is a multi-component protein complex, referred to as the spike complex. The spike complex is responsible for host recognition and membrane fusion. We studied the ability of two members of the Cystivirdae family to infect cells in the presence of purified outer membrane vesicles (OMVs) and lipopolysaccharide (LPS) derived from distinct sources. In this study we determined that OMVs from the host Pseudomonas pseudoalcaligenes strain: East River isolate A (ERA) inhibit Phi 8 and Phi 12 host infection. These OMVs range in size from 30 to 60 nm and bind to Phi 8 and Phi 12. However, OMV purified from P. syringae pv. phaseolicola LM2691 and E. coli Δ yciB Δ dcrB did not inhibit Phi 8 or Phi 12 host infection. However, LPS derived from ERA and LM2691 inhibited Phi 8 and Phi 12 infection, demonstrating that LPS is the receptor for these two viruses, and that OMV biogenesis is selective of LPS. LPS derived from other non -Cystoviridae Gram-negative bacteria, did not inhibit infection. We confirmed that host proteins are not required for Phi 8 or Phi 12 host interaction. Our results also suggest that differences in lipid A and the core polysaccharide in LPS may influence Phi 8 and Phi 12 host binding., Importance: Most phage families studied to date use a tailed appendage, composed of a multitude of proteins, for cellular recognition, membrane penetration, and genome injection. This contrasts with members of the Cystoviridae family which possess a phospholipid membrane bilayer with embedded proteins responsible for cellular recognition and membrane fusion. Thus, the Cystoviridae are akin to enveloped viruses which also use protein complexes embedded into their membrane for cellular recognition and membrane fusion. Examples of such viruses include the Retroviridae, Coronoviridae, Herpesviridae , and Orthomyxoviridae families. The binding specifics of Cystoviridae to the host outer membrane are unknown. Using Cystoviridae -OMV interaction we began to uncover the host requirements for binding Cystoviridae . The results presented determine that only lipid A and the core polysaccharide of LPS are required for Cystoviridae outer membrane binding.

Purpose: There is a growing body of evidence that the built environment influences diet and exercise and, as a consequence, community health status. Since long-haul truck drivers spend long periods of time at truck stops, it is important to know if this built environment includes resources that contribute to the emotional and physical well-being of drivers., Setting: The truck stop environment was defined as the truck stop itself, grocery stores, and medical clinics near the truck stop that could be accessed by a large truck or safely on foot., Design: Researchers at the National Institute for Occupational Safety and Health (NIOSH) developed and utilized a checklist to record the availability of resources for personal hygiene and comfort, communication and mental stimulation, health care, safety, physical activity, and nutrition at truck stops., Subjects: The NIOSH checklist was used to collect data at a convenience sample of 16 truck stops throughout the United States along both high-flow and low-flow truck traffic routes., Measures: The checklist was completed by observation within and around the truck stops., Results: No truck stops offered exercise facilities, 94% lacked access to health care, 81% lacked a walking path, 50% lacked fresh fruit, and 37% lacked fresh vegetables in their restaurant or convenience store., Conclusion: The NIOSH found that most truck stops did not provide an overall healthy living environment.

Approximately 1,701,500 people were employed as heavy and tractor-trailer truck drivers in the United States in 2012. The majority of them were long-haul truck drivers (LHTDs). There are limited data on occupational injury and safety in LHTDs, which prompted a targeted national survey. The National Institute of Occupational Safety and Health conducted a nationally representative survey of 1265 LHTDs at 32 truck stops across the contiguous United States in 2010. Data were collected on truck crashes, near misses, moving violations, work-related injuries, work environment, safety climate, driver training, job satisfaction, and driving behaviors. Results suggested that an estimated 2.6% of LHTDs reported a truck crash in 2010, 35% reported at least one crash while working as an LHTD, 24% reported at least one near miss in the previous 7 days, 17% reported at least one moving violation ticket and 4.7% reported a non-crash injury involving days away from work in the previous 12 months. The majority (68%) of non-crash injuries among company drivers were not reported to employers. An estimate of 73% of LHTDs (16% often and 58% sometimes) perceived their delivery schedules unrealistically tight; 24% often continued driving despite fatigue, bad weather, or heavy traffic because they needed to deliver or pick up a load at a given time; 4.5% often drove 10miles per hours or more over the speed limit; 6.0% never wore a seatbelt; 36% were often frustrated by other drivers on the road; 35% often had to wait for access to a loading dock; 37% reported being noncompliant with hours-of-service rules (10% often and 27% sometimes); 38% of LHTDs perceived their entry-level training inadequate; and 15% did not feel that safety of workers was a high priority with their management. This survey brings to light a number of important safety issues for further research and interventions, e.g., high prevalence of truck crashes, injury underreporting, unrealistically tight delivery schedules, noncompliance with hours-of-service rules, and inadequate entry-level training., (Published by Elsevier Ltd.)

Background: Motor vehicle crashes were the leading cause of occupational fatalities in the United States in 2012, accounting for 25% of deaths. Truck drivers accounted for 46% of these deaths. This study estimates the prevalence of seat belt use and identifies factors associated with nonuse of seat belts among long-haul truck drivers (LHTDs), a group of workers at high risk for fatalities resulting from truck crashes., Methods: CDC analyzed data from its 2010 national survey of LHTD health and injury. A total of 1,265 drivers completed the survey interview. Logistic regression was used to examine the association between seat belt nonuse and risk factors., Results: An estimated 86.1% of LHTDs reported often using a seat belt, 7.8% used it sometimes, and 6.0% never. Reporting never using a belt was associated with often driving ≥10 mph (16 kph) over the speed limit (adjusted odds ratio [AOR] = 2.9), working for a company with no written safety program (AOR = 2.8), receiving two or more tickets for moving violations in the preceding 12 months (AOR = 2.2), living in a state without a primary belt law (AOR = 2.1); and being female (AOR = 2.3)., Conclusions: Approximately 14% of LHTDs are at increased risk for injury and death because they do not use a seat belt on every trip. Safety programs and other management interventions, engineering changes, and design changes might increase seat belt use among LHTDs., Implications for Public Health: Primary state belt laws can help increase belt use among LHTDs. Manufacturers can use recently collected anthropometric data to design better-fitting and more comfortable seat belt systems.

Background: Cancer and chronic disease are leading causes of death in the US with an estimated cost of $46 billion., Methods: We analyzed 11 million cause-specific deaths of US workers age 18-64 years in 30 states during 1985-1999, 2003-2004, and 2007 by occupation, industry, race, gender, and Hispanic origin., Results: The highest significantly elevated proportionate leukemia mortality was observed in engineers, protective service, and advertising sales manager occupations and in banks/savings &loans/credit agencies, public safety, and public administration industries. The highest significantly elevated smoking-adjusted acute myocardial infarction mortality was noted in industrial and refractory machinery mechanics, farmers, mining machine operators, and agricultural worker occupations; and wholesale farm supplies, agricultural chemical, synthetic rubber, and agricultural crop industries., Conclusions: Significantly elevated risks for acute myocardial infarction and leukemia were observed across several occupations and industries that confirm existing reports and add new information. Interested investigators can access the NOMS website at http://www.cdc.gov/niosh/topics/NOMS/., (© 2015 Wiley Periodicals, Inc.)

Objective: To compare selected health behaviors and body mass index (modifiable risk factors) of US long-haul truck drivers to the US working population by sex., Methods: The National Survey of US Long-Haul Truck Driver Health and Injury interviewed a nationally representative sample of long-haul truck drivers (n = 1265) at truck stops. Age-adjusted results were compared with national health surveys., Results: Compared with US workers, drivers had significantly higher body mass index, current cigarette use, and pack-years of smoking; lower prevalence of annual influenza vaccination; and generally lower alcohol consumption. Physical activity level was low for most drivers, and 25% had never had their cholesterol levels tested., Conclusions: Working conditions common to long-haul trucking may create significant barriers to certain healthy behaviors; thus, transportation and health professionals should address the unique work environment when developing interventions for long-haul drivers.

Background: Drivers of heavy and tractor-trailer trucks accounted for 56% of all production and nonsupervisory employees in the truck transportation industry in 2011. There are limited data for illness and injury in long-haul truck drivers, which prompted a targeted national survey., Methods: Interviewers collected data during 2010 from 1,670 long-haul truck drivers at 32 truck stops across the 48 contiguous United States that were used to compute prevalence estimates for self-reported health conditions and risk factors., Results: Obesity (69% vs. 31%, P < 0.01) and current smoking (51% vs. 19%, P < 0.01) were twice as prevalent in long-haul truck drivers as in the 2010 U.S. adult working population. Sixty-one percent reported having two or more of the risk factors: hypertension, obesity, smoking, high cholesterol, no physical activity, 6 or fewer hours of sleep per 24-hr period., Conclusion: Survey findings suggest a need for targeted interventions and continued surveillance for long-haul truck drivers., (Published 2014. This article is a U.S. Government work and is in the public domain in the USA.)

Previous research suggests that there is an elevated risk of suicide among workers within law enforcement occupations. The present study examined the proportionate mortality for suicide in law enforcement in comparison to the US working population during 1999, 2003-2004, and 2007, based on Centers for Disease Control and Prevention's National Institute for Occupational Safety and Health National Occupational Mortality Surveillance data. We analyzed data for all law enforcement occupations and focused on two specific law enforcement occupational categories-detectives/criminal investigators/ police and corrections officers. Suicides were also explored by race, gender and ethnicity. The results of the study showed proportionate mortality ratios (PMRs) for suicide were significantly high for all races and sexes combined (all law enforcement--PMR = 169, 95% CI = 150-191, p < 0.01, 264 deaths; detectives/criminal investigators/police--PMR = 182, 95% CI = 150-218, p < 0.01, 115 deaths; and corrections officers-PMR = 141, 95% CI = 111-178, p < 0.01, 73 deaths). Detectives/criminal investigators/police had the higher suicide risk (an 82% increase) compared to corrections officers (a 41% increase). When analyzed by race and sex, suicide PMRs for Caucasian males were significantly high for both occupations-detectives/ criminal investigators/police (PMR = 133; 95% CI = 108-162, p < 0.01; corrections officers--PMR = 134, 95% CI = 102-173, p < 0.01). A significantly high (PMR = 244, p < 0.01, 95% CI = 147-380) ratio was found among Hispanic males in the law enforcement combined category, and a similarly high PMR was found among Hispanic detectives/criminal investigators/police (PMR = 388, p < 0.01, 95% CI = 168-765). There were small numbers of deaths among female and African American officers. The results included significantly increased risk for suicide among detectives/criminal investigators/police and corrections officers, which suggests that additional study could provide better data to inform us for preventive action.

Background: Lung cancer is the leading cause of cancer death in US women, accounting for 72,130 deaths in 2006. In addition to smoking cessation, further reduction of the burden of lung cancer mortality can be made by preventing exposure to occupational lung carcinogens. Data for occupational exposures and health outcomes of US working women are limited., Methods: Population-based mortality data for 4,570,711 women who died between 1984 and 1998 in 27 US States were used to evaluate lung cancer proportionate mortality over time by the usual occupation and industry reported on death certificates. Lung cancer proportionate mortality ratios were adjusted for smoking, using data from the National Health Interview Survey (NHIS) and the American Cancer Society's Cancer Prevention Study II., Results: Analyses revealed that 194,382 white, 18,225 Black and 1,515 Hispanic women died 1984-1998 with lung cancer reported as the underlying cause of death. Following adjustment for smoking, significant excess proportionate lung cancer mortality was observed among US women working in the US manufacturing; transportation; retail trade; agriculture, forestry, and fishing; and nursing/personal care industries. Women employed in precision production, technical, managerial, professional specialty, and administrative occupations experienced some of the highest significantly excess proportionate lung cancer mortality during 1984-1998., Conclusions: The results of our study point to significantly elevated risks for lung cancer after adjustment for smoking among women in several occupations and industries. Because 6-17% of lung cancer in US males is attributable to known exposures to occupational carcinogens, and since synergistic interactions between cigarette smoke and other occupational lung carcinogens have been noted, it is important to continue research into the effects of occupational exposures on working men and women., (Copyright © 2010 Wiley-Liss, Inc.)

Background: Studies of truck drivers and cardiovascular disease (CVD), myocardial infarction, or ischemic heart disease (IHD) are limited, although studies of other professional drivers reported increased risk., Methods: US mortality data from 1979 to 1990 for ages 15-90 were used to calculate proportional mortality ratios (PMRs) for heart disease and lung cancer for short and long haul truck drivers. Analysis was performed for Black (998 short haul and 13,241 long haul) truck drivers and White (4,929 short and 74,315 long haul) truck drivers separately., Results: The highest significantly elevated proportionate heart disease (IHD, acute myocardial infarction (AMI), and other forms of heart disease) and lung cancer mortality was found for White and Black male long haul truck drivers age 15-54. Mortality was not significantly elevated for short haul truck drivers of either race or gender, nor for truck drivers who died after age 65, except for lung cancer among White males. An indirect adjustment suggested that smoking could explain the excess IHD mortality, but no direct data for smoking or the other known risk factors for heart disease were available and occupational exposures were not measured., Conclusions: The highest significant excess proportionate mortality for lung cancer, IHD and AMI was found for long haul truck drivers who were under age 55 at death. A cohort or longitudinal study of heart disease among long haul truck drivers, that obtains data for occupational exposures as well as lifestyle risk factors, could help explain inconsistencies between the findings of this and previous studies.

Background: Studies of electrical workers in the utility and manufacturing industries have reported excess site-specific cancer. No previous studies of electrical workers in the construction industry have been conducted., Methods: Our study evaluated the mortality patterns of 31,068 U.S. members of the International Brotherhood of Electrical Workers who primarily worked in the construction industry and died 1982-1987., Results: Comparison to the U.S. population by using the NIOSH life table showed significantly elevated proportionate mortality for many causes. Excess mortality for leukemia (proportionate mortality ratio (PMR)=115) and brain tumors (PMR=136) is similar to reports of electrical workers with occupational exposure to electric and magnetic fields in the electric utility or manufacturing industry. Excess deaths due to melanoma skin cancer (PMR=123) are consistent with findings of other PCB-exposed workers. A significantly elevated PMR was observed for the diseases caused by asbestos: lung cancer (PMR=117), asbestosis (PMR=247), and malignant mesothelioma (PMR=356) and from fatal injuries, particularly electrocutions (PMR=1180). The findings of statistically significant excess deaths for prostate cancer (PMR=107), musculoskeletal disease (PMR=130), suicide (PMR=113), and disorders of the blood-forming organs (PMR=141) were unexpected., Conclusions: Results suggest that more detailed investigations of occupational risk factors and evaluation of preventive practices are needed to prevent excess mortality in this hazardous occupation. Am. J. Ind. Med. 36:630-637, 1999. Published 1999 Wiley-Liss, Inc.

Our study examined cancer mortality before the age of 65 for women employed in the fastest growing and/or traditionally female occupations. Analysis of mortality data from 28 U.S. states for 1984-1995 revealed elevated proportionate cancer mortality ratios (PCMRs). The highest PCMRs observed were thyroid cancer among health aides, lymphatic and multiple myeloma among computer programmers, and brain cancer among actresses and directresses. Some of the excess mortality occurred for occupations that have been previously cited. These included elevated breast and ovarian cancer among teachers, Hodgkin's disease among hairdressers and cosmetologists, and thyroid cancer among health aides and therapists. A few of the associations were new, i.e., had not been previously observed. These included cancer of the connective tissue and lymphatic system among computer programmers, ovarian cancer and leukemia among secretaries, and lymphatic cancer and multiple myeloma among child care workers. These findings should be further investigated with epidemiologic and environmental studies.

This study evaluated the mortality of 27,362 members of the U.S. Carpenters' Union who died in 1987-1990. Age-adjusted proportionate mortality ratios (PMRs) and proportionate cancer mortality ratios (PCMRs) were computed using the U.S. age-, gender-, and race-specific proportional mortality for the years of the study. For white male carpenters who were last employed while in construction industry locals, raised mortality was observed for lung cancer (PCMR = 107, CI = 103, 111), bone cancer (PMR = 181, CI = 107, 286), asbestosis (PMR = 283, CI = 158, 457), emphysema (PMR = 115, CI = 102, 130), transportation injuries (PMR = 121, CI = 109, 135), and falls (PMR = 122, CI = 104, 142). For white male carpenters who were last employed while in industrial wood products locals, significantly raised mortality occurred for stomach cancer (PMR = 187, CI = 136, 250), male breast cancer (PCMR = 469, CI = 128, 720), and transportation injuries (PMR = 136, CI = 110, 173). Excess breast cancer was associated with last employment inn wood machining trades. Nasal cancer mortality was not elevated. A total of 121 mesotheliomas were observed. Contributing cause of death analyses revealed raised mortality for these and additional causes; 4,594 (18%) death certificates mentioned occupational and other lung disease as a contributing factor, resulting in significantly elevated mortality. These data show that construction carpenters have moderately elevated mortality for the diseases caused by asbestos (lung cancer and malignant mesothelioma) and from traumatic injuries. The finding of elevated mortality for stomach, bone, and breast cancer was unexpected and requires further evaluation of possible occupational factors. This study confirms that construction carpentry is an extremely hazardous trade. The data suggest that additional preventive action guarding against asbestos exposure and occupational injury is urgently needed in this occupation.

Thirteen authors from the National Institute for Occupational Safety and Health contribute to this summary of recent and ongoing national occupational mortality surveillance studies of construction workers, including studies conducted under NIOSH's Fatality Assessment and Control Evaluation project, Sentinel Health Events project, National Occupational Mortality Surveillance System, and other projects.

In 1990, the US construction industry employed 7.6 million workers, of whom 8% were women. Only one epidemiologic study for women employed in the construction industry was previously published. We analyzed usual occupation and industry codes on death certificates from 28 states between 1979 and 1990 to evaluate mortality patterns among both black and white female construction industry workers. Proportionate mortality for cancer and several other chronic diseases was significantly elevated among 2,273 white female and 197 black female construction workers. White women younger than age 65 at death had significantly elevated proportionate mortality ratios (PMRs) for all cancer, lung cancer, and traumatic fatalities. Black women younger than age 65 at death had a significantly elevated PMR for traumatic fatalities. Elevated mortality for specific cancer sites and other diseases was observed for white and black women employed in construction trades. These results suggest that more detailed investigations that include women and other minorities should be undertaken.

Automotive wood model makers have been reported to be at excess risk for colon and other cancers in recent epidemiologic studies. To further explore these risks, we conducted a retrospective cohort mortality study, with follow-up from 1940 through 1984, of 2294 white male wood model makers employed at any time until 1980 by three US auto makers. Using US mortality rates for comparison, we found elevated standardized mortality ratios of 1.2 (95% CI, 0.8-1.9) for colon cancer and 1.6 (95% CI, 0.9-2.6) for stomach cancer. We also conducted nested case-control studies for 20 colon and 17 stomach cancer cases and 543 age-matched controls. We found no trend of increased risk for colon or stomach cancer mortality with increased exposure to wood dust or to duration employed in wood model making.

A job exposure matrix has been developed based on potential exposure data collected during the 1972-1974 National Occupational Hazard Survey (NOHS). The survey sample was representative of all U.S. non-agricultural businesses covered under the Occupational Safety and Health Act of 1970 and employing eight or more employees. Potential worker exposure to all chemical, physical, or biological agents was recorded during the field survey if certain minimum guidelines for exposure were met. The job exposure matrix (JEM) itself is a computerized database that assists the user in determining potential chemical or physical exposures in occupational settings. We describe the structure and possible uses of the job exposure matrix. In one example, potential occupational exposures to elemental lead were grouped by industry and occupation. In a second example, the matrix was used to determine exposure classifications in a hypothetical case-control study. Present availability as well as future enhancements of the job exposure matrix are described.

An epidemiological and environmental study of rock and slag mineral wool production workers was undertaken at a plant that has been in operation since the early 1900s. Size characteristics of fibres produced by each process at the plant and data from industrial hygiene surveys were used to evaluate current and past exposures. These data suggest that the average historical airborne fibre concentration probably did not exceed 2.5 fibres/cc before 1935 and 1.0 fibre/cc after 1935. A retrospective cohort mortality study was designed to assess mortality patterns. Detailed occupational histories were compiled on all plant employees. All jobs in the plant were assigned to one of eight potential exposure categories to assess the extent and severity of mineral wool exposure and the effect of other significant exposures on employee mortality. Findings included an increase in the number of deaths due to cancer of the digestive system and non-malignant respiratory disease among workers who had over 20 years' exposure to mineral wool or who had survived 20 years since their first exposure to mineral wool. These findings are not inconsistent with those of Enterline's (Symposium on Biological Effects of Mineral Fibres, Lyon, France, September 1979) in the Thermal Insulation Manufacturers' Association's mortality study of men employed in four mineral wool plants.

A person-years at risk life-table analysis system of computer programs has been developed by the National Institute for Occupational Safety and Health (NIOSH) and is available with detailed documentation. The system was specifically designed to analyze occupational cohort mortality data. These programs require more computer core space and processing time than other available life-table programs. However, the NIOSH programs are advantageous because they include the following: (1) input data editing and modification, (2) mortality rates for 89 cause-of-death categories, (3) assignment of cumulative doses to specific person-years based on either personal or area exposure data, and (4) simultaneous examination of observed and expected deaths by duration of employment (or dose), latency, age, and calendar time.