Suicide Rates and Risks Across U.S. Industries: A 29-Year Population-Based Survey.

OBJECTIVE: Suicide rates in the working-age U.S. population have increased by over 40% in the last two decades. Although suicide may be linked with characteristics of workplaces and their industries, few studies have reported industry-level suicide rates. No study has reported suicide rates by industry using nationally representative data. This study estimates suicide risks across industries in the U.S. working population. METHODS: Industry-level estimates of suicide risks require substantial data; we combined 29 years of U.S. suicide data using the National Health Interview Survey (NHIS)-Mortality Linked data from 1986 through 2014, with mortality follow-up through 2015. We conducted survey-weighted Poisson regression analyses to estimate suicide mortality rates and rate ratios across all populations and stratified by gender. All analyses were adjusted first for age, and then for age, employment status, marital status, race/ethnicity, and rurality/urbanicity (demographic-adjusted). Rate ratios compared results for workers in each industry to those for all industries, accounting for the NHIS survey design. RESULTS: A total of 1,943 suicide deaths were recorded. Age-adjusted suicide rates per 100,000 were highest in the furniture, lumber, and wood industry group (29.3), the fabricated metal industry (26.3), and mining (25.8). Demographic-adjusted rates were higher among men than women in most industries. Demographic-adjusted rate ratios were significantly elevated in the furniture, lumber, and wood industries (Rate Ratio, RR = 1.60, 95% confidence interval, CI = 1.18-2.18); chemicals and allied products (RR = 1.49, 95%CI = 1.04-2.13); and construction (RR = 1.21, 95% CI = 1.03-1.41). CONCLUSION: Several industries had significantly high suicide rates. Suicide prevention efforts may be particularly useful for workers in those industries.

Poverty, Health Care Access Barriers, and Functional Limitations among Individuals with Chronic Obstructive Pulmonary Disease: An 11-Year Cross-sectional Analysis, 2008-2018.

OBJECTIVES: To assess the relationship between poverty, delayed care, unaffordable care, and functional limitations among individuals with chronic obstructive pulmonary disease (COPD). METHODS: Using the National Health Interview Survey data, we selected respondents with COPD, aged 40 years and older. The predictor variables were poverty and measures of delayed and unaffordable care. The outcome variable was functional limitations. We performed a survey-weighted multivariate logistic regression analysis, adjusting for sociodemographic characteristics. RESULTS: Respondents classified as poor had three times the odds of functional limitations compared with those classified as not poor. Respondents who reported having measures of delayed care or unaffordable care had two to nine times and two to four times the adjusted odds of functional limitations compared with those who did not report such measures of delayed and unaffordable care, respectively. CONCLUSIONS: Poverty and delayed and unaffordable care are associated with functional limitations among individuals with COPD.

Psychological distress is more common in some occupations and increases with job tenure: a thirty-seven year panel study in the United States.

BACKGROUND: Workers in certain occupations may have elevated risks of psychological distress. However, research is limited. For example, researchers often measure distress that may have existed before occupational exposures. We studied occupations and the development of psychological distress using national data from the United States. METHODS: We reviewed relevant research to identify occupations with low and high risks of mental health problems. We confirmed those individual low and high risk occupations using 1981-2017 data from the Panel Study of Income Dynamics (n = 24,789). We measured new cases of distress using the Screening Scale for Psychological Distress (Kessler K6) and compared distress in the low and high risk groups, adjusted for factors associated with occupational selection and non-occupational distress risks. A subset of participants described their jobs (n = 1,484), including factors such as job demands, social support, and control over work. We examined associations of those factors with psychological distress. RESULTS: Workers in high risk occupations had 20% higher adjusted odds of developing distress than those in low risk occupations (odds ratio, OR 1.20, 95% confidence interval, CI 1.13-1.28). Distress increased with time in a high risk occupation: ≥5 years OR 1.38 (CI 1.18-1.62), ≥ 10 years OR 1.46 (CI 1.07-1.99), and ≥ 15 years OR 1.77 (CI 1.08-2.90; p-trend = 0.0145). The most common positive participant descriptions of their jobs indicated social support (34%), sense of accomplishment (17%), and control over work (15%). Participants reporting such descriptions were significantly less likely to have a high risk occupation (OR 0.66, CI 0.46-0.94, p = 0.0195). The most common negative descriptions were excessive job demands (43%), low social support (27%), and lack of control (14%). Participants reporting such descriptions were significantly more likely to have a high risk occupation (OR 1.49, CI 1.03-2.14, p = 0.0331). CONCLUSION: Certain occupations may have high risks of psychological distress, which may be due to characteristics of the occupations rather than employee characteristics, or in addition to them. Results were consistent with theoretical models of psychosocial work environments. Providers of health care and social services should ask patients or clients about work-related distress.

An assessment of the non-fatal crash risks associated with substance use during rush and non-rush hour periods in the United States.

BACKGROUND: Understanding how substance use is associated with severe crash injuries may inform emergency care preparedness. OBJECTIVES: This study aims to assess the association of substance use and crash injury severity at all times of the day and during rush (6-9 AM; 3-7 PM) and non-rush-hours. Further, this study assesses the probabilities of occurrence of low acuity, emergent, and critical injuries associated with substance use. METHODS: Crash data were extracted from the 2019 National Emergency Medical Services Information System. The outcome variable was non-fatal crash injury, assessed on an ordinal scale: critical, emergent, low acuity. The predictor variable was the presence of substance use (alcohol or illicit drugs). Age, gender, injured part, revised trauma score, the location of the crash, the road user type, and the geographical region were included as potential confounders. Partially proportional ordinal logistic regression was used to assess the unadjusted and adjusted odds of critical and emergent injuries compared to low acuity injury. RESULTS: Substance use was associated with approximately two-fold adjusted odds of critical and emergent injuries compared to low acuity injury at all times of the day and during the rush and non-rush hours. Although the proportion of substance use was higher during the non-rush hour period, the interaction effect of rush hour and substance use resulted in higher odds of critical and emergent injuries compared to low acuity injury. CONCLUSION: Substance use is associated with increased odds of critical and emergent injury severity. Reducing substance use-related crash injuries may reduce adverse crash injuries.

Estimating mortality from coal workers' pneumoconiosis among Medicare beneficiaries with pneumoconiosis using binary regressions for spatially sparse data.

BACKGROUND: Coal workers' pneumoconiosis (CWP) is an occupational lung disease due to inhalation of coal dust. We estimated mortality from CWP and other pneumoconioses among Medicare beneficiaries. METHODS: We used the 5% Medicare Limited Claims Data Set, 2011-2014, to identify patients diagnosed with ICD-9-CM 500 (CWP) through 505 (Asbestosis, Pneumoconiosis due to other silica or silicates, Pneumoconiosis due to other inorganic dust, Pneumonopathy due to inhalation of other dust, and Pneumoconiosis, unspecified) codes. We applied binary regression models with spatial random effects to determine the association between CWP and mortality. Our inferences are based on Bayesian spatial hierarchical models, and model fitting was performed using Integrated Nested Laplace Approximation (INLA) algorithm in R/RStudio software. RESULTS: The median age of the sample was 76 years. In a sample of 8531 Medicare beneficiaries, 2568 died. Medicare beneficiaries with CWP had 25% higher odds of death (adjusted OR: 1.25, 95% CI: 1.07, 1.46) than those with other types of pneumoconiosis. The number of comorbid conditions elevated the odds of death by 10% (adjusted OR: 1.10, 95% CI: 1.09, 1.10). CONCLUSION: CWP increases the likelihood of death among Medicare beneficiaries. Healthcare professionals should make concerted efforts to monitor patients with CWP to prevent premature mortality.

Exploring the relationship of rush hour period and fatal and non-fatal crash injuries in the U.S.: A systematic review and meta-analysis.

Road crashes are preventable causes of morbidity and mortality. In the U.S., substantial crashes occur during the rush hour period. The rush hour represents the period of the day during which the density of humans and vehicles in the road environment is highest. In the U.S., the rush hour period is bi-modal, occurring in the morning and the afternoon, at times that vary by state and urban-rural status. This systematic review and meta-analysis aimed to evaluate the association between the rush hour period and fatal and non-fatal crash injuries. Selected articles were limited to peer-reviewed full-text articles that measured crash injury as an outcome and rush hour as either a predictor, covariate, stratification, or a control variable. A total of 17 articles were identified for systematic review and nine articles were included in the meta-analysis. Across the selected studies, the rush-hour period signified the period of "peak traffic flow." During the rush hour period, aggressive driving behavior, truck driving, bicycle riding, and precipitation were associated with increased crash events or crash injuries. Across the nine studies included in the meta-analysis, the effective sample size was 236,433. The rush-hour period was associated with a 28% increased risk of fatal crash injury (Pooled RR: 1.28; 95% CI: 1.11-1.45) and the morning rush hour period was associated with 36% increased crash injury risk (Pooled RR: 1.36; 95% CI: 1.13-1.59). The rush hour period, though less commonly studied as a predictor of fatal and non-fatal crash injuries, represents an important domain in need of crash injury prevention attention. The knowledge of the pattern of crash injuries, as it varies across countries, states, regions, and county can inform policy and intervention, in the presence of competing public health needs.

Suicide mortality rates in farm-related occupations and the agriculture industry in the United States.

BACKGROUND: Studies suggest that agricultural workers and rural residents may have an elevated suicide risk. However, suicide is relatively rare, and rural and farming populations have significantly declined, limiting their representation in national surveys. Many studies have inadequate samples for meaningful analysis. METHODS: We pooled 29 years of data from the Mortality-Linked National Health Interview Survey, 1986-2014, then measured suicide mortality in groups including agriculture workers, and variation in suicide across rural and urban areas. Exposure variables indicated whether participants worked in a farm-related occupation or industry, or lived in a rural area. We used survey-weighted Poisson regression to estimate suicide mortality rates and rate ratios. RESULTS: Age-adjusted suicide mortality rate per 100,000 was: 22.3 for farmers and farm managers; 21.6 for farmworkers; 28.7 in farming, forestry, and fishing; 15.3 across all other occupations; 16.1 among rural residents. Among farmworkers, age-adjusted rates were 28.3 in rural areas, 17.1 in urban areas (not significantly different). The age-adjusted suicide mortality rate ratio (RR) comparing workers in the agriculture, forestry, and fishery industries to those in all other industries was 1.34 (95% confidence interval, [CI]: 1.05-1.72) (not statistically significant after further adjustment for demographic characteristics). Age-adjusted results were consistent with a higher suicide risk for workers in forestry and fishing than in all other occupations (RR: 1.88, 95% CI: 0.79-4.46). CONCLUSION: Workers in agriculture, forestry, and fishing may have an elevated suicide risk. National surveys should consider oversampling of rural residents, who have increased morbidity and mortality risks.

Dynamics of Covid-19 mortality and social determinants of health: a spatiotemporal analysis of exceedance probabilities.

PURPOSE: To determine the association of social factors with Covid-19 mortality and identify high-risk clusters. METHODS: Data on Covid-19 deaths across 3,108 contiguous U.S. counties from the Johns Hopkins University and social determinants of health (SDoH) data from the County Health Ranking and the Bureau of Labor Statistics were fitted to Bayesian semi-parametric spatiotemporal Negative Binomial models, and 95% credible intervals (CrI) of incidence rate ratios (IRR) were used to assess the associations. Exceedance probabilities were used for detecting clusters. RESULTS: As of October 31, 2020, the median mortality rate was 40.05 per 100, 000. The monthly urban mortality rates increased with unemployment (IRRadjusted:1.41, 95% CrI: 1.24, 1.60), percent Black population (IRRadjusted:1.05, 95% CrI: 1.04, 1.07), and residential segregation (IRRadjusted:1.03, 95% CrI: 1.02, 1.04). The rural monthly mortality rates increased with percent female population (IRRadjusted: 1.17, 95% CrI: 1.11, 1.24) and percent Black population (IRRadjusted:1.07 95% CrI:1.06, 1.08). Higher college education rates were associated with decreased mortality rates in rural and urban counties. The dynamics of exceedance probabilities detected the shifts of high-risk clusters from the Northeast to Southern and Midwestern counties. CONCLUSIONS: Spatiotemporal analyses enabled the inclusion of unobserved latent risk factors and aid in scientifically grounded decision-making at a granular level.

Prenatal use of cleaning and scented products and its association with childhood asthma, asthma symptoms, and mental health and developmental comorbidities.

INTRODUCTION: Occupational use of cleaning chemicals has been related to asthma in adults. However, little information is available on the effect of non-occupational use of cleaning products during pregnancy on childhood asthma. This study examines the association between prenatal exposure to cleaning and scented products with childhood asthma, asthma symptoms, and mental and developmental comorbidities among low-income families in Karachi, Pakistan. METHODS: Four hundred children from the Koohi Goth Women's Hospital were included in the study. Parents' or guardians reported current asthma, asthma-related symptoms, mental health problems, and behavioral problems among the children. Multivariable logistic regression analysis was used to examine the association between the use of cleaning and scented products during pregnancy and seven different outcome variables. RESULTS: The odds of nocturnal cough were significantly elevated among children whose mothers reported the use of cleaning products (OR: 2.23, 95% CI: 1.15-4.31) or scented products (OR: 2.15, 95% CI: 1.22-3.77) during pregnancy. Mental health comorbidities were threefold elevated (OR: 3.05, 95% CI: 1.74-5.35) among children whose mothers reported using scented products during pregnancy. There was no statistically significant association of the prenatal use of cleaning or scented products with current asthma status or nocturnal symptoms of wheezing, shortness of breath, and chest tightness among children. CONCLUSIONS: The study results indicate prenatal exposure to cleaning and scented products is associated with nocturnal cough among children. The study also suggests an association between prenatal use of scented products and mental health comorbidities among children.

Mortality among workers employed in the mining industry in the United States: A 29-year analysis of the National Health Interview Survey-Linked Mortality File, 1986-2014.

BACKGROUND: Working in the mining industry increases the risk of chronic diseases and mortality. We investigated overall and cause-specific mortality rates among workers employed in the mining sector in the United States. METHODS: We pooled 29 years of National Health Interview Survey (NHIS) public-use data from 1986 to 2014, with mortality follow-up until 31 December 2015. We grouped respondents into the mining and nonmining sectors based on the responses given at the time of the NHIS interview. We compared the overall and cause-specific mortality rates using standardized mortality ratios (SMR) and 95% confidence interval (CI) adjusted for the competing cause of death. RESULTS: From 1986 to 2014, an estimated 14 million deaths were recorded among subjects eligible for mortality follow-up. Of these, an estimated 50,000 deaths occurred among those working in the mining sector. A significantly higher overall mortality (SMR = 1.26, 95% CI: 1.17-1.36), and mortality from heart diseases (adjusted SMR = 1.56, 95% CI: 1.31-1.83), cancer (adjusted SMR = 1.30, 95% CI: 1.14-1.48) and unintentional injuries (adjusted SMR = 1.41, 95%CI: 1.03-1.85) were observed among those employed in the mining sector. When the analyses were restricted to men, only the SMRs for heart disease and cancer remained statistically significant. No elevated SMR for deaths from chronic lower respiratory disease was observed in the study. CONCLUSION: Workers employed in the mining sector have a significantly increased total death rate and death rates from heart disease, cancer, and unintentional injuries.

Progression of COVID-19 From Urban to Rural Areas in the United States: A Spatiotemporal Analysis of Prevalence Rates.

PURPOSE: There are growing signs that the COVID-19 virus has started to spread to rural areas and can impact the rural health care system that is already stretched and lacks resources. To aid in the legislative decision process and proper channelizing of resources, we estimated and compared the county-level change in prevalence rates of COVID-19 by rural-urban status over 3 weeks. Additionally, we identified hotspots based on estimated prevalence rates. METHODS: We used crowdsourced data on COVID-19 and linked them to county-level demographics, smoking rates, and chronic diseases. We fitted a Bayesian hierarchical spatiotemporal model using the Markov Chain Monte Carlo algorithm in R-studio. We mapped the estimated prevalence rates using ArcGIS 10.8, and identified hotspots using Gettis-Ord local statistics. FINDINGS: In the rural counties, the mean prevalence of COVID-19 increased from 3.6 per 100,000 population to 43.6 per 100,000 within 3 weeks from April 3 to April 22, 2020. In the urban counties, the median prevalence of COVID-19 increased from 10.1 per 100,000 population to 107.6 per 100,000 within the same period. The COVID-19 adjusted prevalence rates in rural counties were substantially elevated in counties with higher black populations, smoking rates, and obesity rates. Counties with high rates of people aged 25-49 years had increased COVID-19 prevalence rates. CONCLUSIONS: Our findings show a rapid spread of COVID-19 across urban and rural areas in 21 days. Studies based on quality data are needed to explain further the role of social determinants of health on COVID-19 prevalence.

Work-related asthma in the USA: nationally representative estimates with extended follow-up.

OBJECTIVE: We studied the associations of working in occupations with high asthma trigger exposures with the prevalence and incidence of asthma, and with ever reporting an asthma diagnosis throughout working life. METHODS: We used the nationally representative Panel Study of Income Dynamics (1968-2015; n=13 957; 205 498 person-years), with annual reports of occupation and asthma diagnoses across 48 years. We compared asthma outcomes in occupations likely to have asthma trigger exposures with those in occupations with limited trigger exposures. We estimated the prevalence ratios and the incidence risk ratios using log-binomial regression adjusted for age, sex, race/ethnicity, education, and current and past atopy and smoking, and accounting for the survey design and sampling weights. We calculated the attributable risk fractions and population attributable risks, and used multinomial logistic Markov models and microsimulation to estimate the percentage of people ever diagnosed with asthma during working life. RESULTS: The adjusted prevalence ratio comparing high-risk occupations with low-risk was 4.1 (95% CI 3.5 to 4.8); the adjusted risk ratio was 2.6 (CI 1.8 to 3.9). The attributable risk was 16.7% (CI 8.5 to 23.6); the population attributable risk was 11.3% (CI 5.0 to 17.2). In microsimulations, 14.9% (CI 13.4 to 16.3) with low trigger exposure risk reported asthma at least once, ages 18-65, compared with 23.9% (CI 22.3 to 26.0) with high exposure risk. CONCLUSION: Adults were more than twice as likely to report a new asthma diagnosis if their occupation involved asthma triggers. Work exposures to asthma triggers may cause or aggravate about 11% of all adult asthma and increase the risk of work-life asthma by 60%.

Estimating the prevalence and spatial clusters of coal workers' pneumoconiosis cases using medicare claims data, 2011-2014.

BACKGROUND: Workers employed in the coal mining sector are at increased risk of respiratory diseases, including coal workers' pneumoconiosis (CWP). We investigated the prevalence of CWP and its association with sociodemographic factors among Medicare beneficiaries. METHODS: We used 5% Medicare Limited Data Set claims data from 2011 to 2014 to select Medicare beneficiaries with a diagnosis of ICD-9-CM 500 (CWP). We aggregated the data by county and limited our analysis to seven contiguous states: Illinois, Indiana, Kentucky, Ohio, Pennsylvania, Virginia, and West Virginia. We estimated county-level prevalence rates using total Medicare beneficiaries and miners as denominators and performed spatial hotspot analysis. We used negative binomial regression analysis to determine the association of county-wise sociodemographic factors with CWP. RESULTS: There was significant spatial clustering of CWP cases in Kentucky, Virginia, and West Virginia. Spatial clusters of 210 and 605 CWP cases representing an estimated 4200 to 12 100 cases of Medicare beneficiaries with CWP were identified in the three states. Counties with higher poverty levels had a significantly elevated rate of CWP (adjusted rate ratios [RR]: 1.15; 95% CI, 1.12-1.18). There was a small but significant association of CWP with the county-wise catchment area. Rurality was associated with a more than three-fold elevated rate of CWP in the unadjusted analysis (RR: 3.28, 95% CI, 2.22-4.84). However, the rate declined to 1.45 (95% CI, 1.04-2.01) after adjusting for other factors in the analysis. CONCLUSIONS: We found evidence of significant spatial clustering of CWP among Medicare beneficiaries living in the seven states of the USA.

An Assessment of the Knowledge, Attitudes, and Practices of Patients and Families with Diagnoses of Hereditary Neuromuscular Disorders.

BACKGROUND: Hereditary neuromuscular disorders (NMDs) result in progressive disability with no definitive disease modifying treatments. There is a delay in diagnosis, and lack of awareness among affected individuals about these disorders, which can affect quality of life of patients. OBJECTIVE: The aim of this study is to identify gaps in patient knowledge, factors affecting attitudes toward the diagnoses, and specific practices to create better awareness among patients and healthcare providers to improve care and overall outcomes. METHODS: This is a cross-sectional study of 130 patients diagnosed with an NMD, recruited from the outpatient neurology clinics at the Aga Khan University Hospital. After telephonic consent, a 28 item survey questionnaire was administered. Knowledge, attitude, and practice scores were measured. RESULTS: One hundred and thirty of 198 study participants responded. The average age was 26.3 years; 75% were male. More than 38% (n = 50) had a middle grade or less education. The average knowledge, attitude, and practice scores were 7.9, 2.7, and 3.8 respectively. There was a low but statistically significant correlation between knowledge-attitude and attitude-practice scores. Almost 80% of respondents believed that dystrophy or spinal muscular atrophy is curable, while a majority considered that physical activity should be avoided. CONCLUSIONS: Our study presents new insights into the role of clarifying misconceptions about NMD and to correct attitudes among patients, their families and communities. It underscores the need for early interventions with demonstrably positive effects on disease progression such as physical therapy, as well as emphasizes the provision of accessible and affordable centers for such services.

The Prevalence of Chronic Diseases Among Current and Ex-Miners in the United States.

OBJECTIVE: To determine and compare the prevalence and odds of chronic diseases among ex- and current miners. METHODS: Fourteen-year pooled data from the National Health Interview Survey between 2004 and 2017 were analyzed. Ex- and current miners ages 18 to 64 years were defined based on employment status at the time of National Health Interview Survey (NHIS) interview. We calculated age-adjusted prevalence rates and odds ratios of association of chronic diseases. The analysis was adjusted for respondent's age, sex, race, marital status, poverty-income ratio, health insurance, and smoking status. RESULTS: Ex-miners have significantly increased prevalence of most chronic diseases. The age-adjusted prevalence and the adjusted odds of heart disease, cancer, hypertension, diabetes, and psychological stress were significantly higher among ex-miners as compared with current miners. CONCLUSIONS: Ex-miners have worse health outcomes that may persist for years after leaving the mining industry.

Metapopulation Model from Pathogen's Perspective: A Versatile Framework to Quantify Pathogen Transfer and Circulation between Environment and Hosts.

Metapopulation models have been primarily explored in infectious disease epidemiology to study host subpopulation movements and between-host contact structures. They also have the potential to investigate environmental pathogen transferring. In this study, we demonstrate that metapopulation models serve as an ideal modeling framework to characterize and quantify pathogen transfer between environment and hosts. It therefore unifies host, pathogen, and environment, collectively known as the epidemiological triad, a fundamental concept in epidemiology. We develop a customizable and generalized pathogen-transferring model where pathogens dwell in and transferring (via contact) between environment and hosts. We analyze three specific case studies: pure pathogen transferring without pathogen demography, source-sink dynamics, and pathogen control via external disinfection. We demonstrate how pathogens circulate in the system between environment and hosts, as well as evaluate different controlling efforts for healthcare-associated infections (HAIs). For pure pathogen transferring, system equilibria can be derived analytically to explicitly quantify long-term pathogen distribution in the system. For source-sink dynamics and pathogen control via disinfection, we demonstrate that complete eradication of pathogens can be achieved, but the rates of converging to system equilibria differ based on specific model parameterization. Direct host-host pathogen transferring and within-host dynamics can be future directions of this modeling framework by adding specific modules.

The association of prenatal risk factors with childhood asthma.

Objective: The purpose of the study was to examine the relationship of maternal complications during pregnancy and prenatal exposures with childhood asthma among low-income families in Karachi, Pakistan. Methods: Parents/guardians of children with and without asthma visiting a charity hospital were enrolled. Information about prenatal and perinatal exposures was collected. Univariable and multiple stepwise logistic regression analysis were conducted to explore the relationship of socio-demographic, maternal complications during pregnancy, access to prenatal care, and exposure to animals and pests while pregnant with childhood asthma. Results: Maternal symptoms of nocturnal cough (adjusted OR [aOR = 2.87, 95% CI = 1.60-5.14) and wheezing (aOR = 5.57, 95% CI = 2.32-13.37) during pregnancy significantly increased the odds of childhood asthma. The family history of asthma or hay fever, also elevated the odds of childhood asthma (adjusted OR [aOR] = 5.86 (3.03-11.34). The odds of asthma among children whose mothers received prenatal care by Dai, an unskilled health worker, were significantly elevated. Lastly, prenatal exposure to rats/mice and contact with goats while pregnant was significantly associated with childhood asthma. Whereas, prenatal exposure to cows/cattle reduces the odds of childhood asthma. Conclusions: This study identified important maternal and prenatal risk factors for childhood asthma, the majority of which are avoidable. Appropriate steps are needed to create awareness about the prenatal risk factors in this population.

Opportunities and obstacles in translating evidence to policy in occupational asthma.

PURPOSE: Occupational asthma (OA), a common respiratory disorder in Western countries, is caused by exposures at the workplace. It is part of a broader definition of work-related asthma (WRA) that also includes pre-existing asthma aggravated by substances present in the workplace environment, and it is potentially preventable. The purpose of this paper is to illustrate preventive measures for occupational asthma by case studies. METHODS: In three case studies we discuss preventive measures that have been associated with reductions in incidence of occupational asthma from natural rubber latex and from diisocyanates as supported by published literature. We also discuss challenges in relation to asthma from cleaning products in healthcare work. RESULTS AND CONCLUSIONS: Several preventive measures have been associated with reduction in incidence of occupational asthma from natural rubber latex and from diisocyanates, and may provide lessons for prevention of other causes of occupational asthma. Cleaning products remain an unresolved problem at present with respect to asthma risks but potential measures include the use of safer products and safer applications such as avoidance of spray products, use of occupational hygiene methods such as improving local ventilation, and when appropriate, the use of personal protective devices.

Does longer duration of breastfeeding prevent childhood asthma in low-income families?

OBJECTIVE: The objective of this study was to examine the relationship of breastfeeding duration with childhood asthma among low-income families in Karachi, Pakistan. METHODS: Mothers/caregivers of 200 children with asthma and an equal number of children without asthma were interviewed about breastfeeding duration. Based on the responses, 6 different binary variables were constructed: breastfeeding 3 months or less, 6 months or less, 9 months or less, 12 months or less, 18 months or less, and 24 months or less. Asthma status of the child was determined by clinical examination by a primary care physician. Data was analyzed using multiple logistic regression method, adjusted for age and sex of the child, household income, parental ethnicity, number of older siblings, family history of asthma or hay fever, presence of mold, parental smoking, number of people in the household, and body mass index of the child. RESULTS: The average duration of breastfeeding was 21.4 months (SD = 7.33 months). Breastfeeding for at least 24 months was associated with increased odds of asthma (aOR = 1.77, 95%CI: 0.99, 3.16). Whereas breastfeeding for 12 months or less, and to some extent 18 months or less, was protective against childhood asthma. There was some evidence this protective effect may be delayed in children with a family history of asthma or hay fever. CONCLUSIONS: This study found breastfeeding for 12 months or less may have a protective effect against asthma. The protective effect weans down after 18 months, and if continued 24 months or more may place the child at-risk of asthma.

Use of Exhaled Nitric Oxide as a Biomarker in Diagnosis and Management of Chronic Obstructive Pulmonary Disease.

BACKGROUND: Chronic obstructive pulmonary disease (COPD), a progressive and nonreversible disease, is a leading cause of mortality and morbidity throughout the world. Because airway inflammation is a hallmark of COPD, it has been proposed that measuring exhaled nitric oxide, a marker of inflammation, in exhaled breath condensate could prove to be an inexpensive and efficient method to detect COPD in outpatient settings. METHODS: This study used secondary data on a sample of 10,214 individuals 30 years and older from the National Health and Nutrition Examination Survey 2007 to 2010. Binary and ordinal logistic regression analyses were used to test the association of exhaled nitric oxide (eNO) with COPD and COPD severity. RESULTS: The prevalence of COPD was 7.2%, based on self-reported physician diagnoses and 11.4% based on prebronchodilator spirometry analysis. This study found no statistically significant association between eNO, COPD, and COPD severity (P > .05). CONCLUSIONS: The findings of this study do not support use of eNO as a biomarker of inflammation in diagnosis and management of COPD.