Association Between Self-Reported Dyspnea and Depressive Symptoms in New Mexico Uranium Workers.

New Mexico has the largest number of former uranium workers, mostly racial/ethnic minorities. Uranium workers are at risk for dyspnea secondary to mine dust exposure. The association between dyspnea and depressive symptoms has not been well examined in occupational minority cohorts. This study evaluated the associations between dyspnea (measured by the modified Medical Research Council Questionnaire) and depressive symptoms (measured by the Patient Health Questionnaire-2) in former uranium workers screened by the New Mexico Radiation Exposure Screening & Education Program. The subjects were mostly elderly, rural-residing, minority males. Dyspnea was commonly reported; however, depressive symptoms were uncommon. At baseline, former workers experiencing higher levels of dyspnea were more than 3 times likely to endorse depressive symptoms than those with no or mild dyspnea. Longitudinal analysis failed to determine an association between change in dyspnea and concomitant change in depressive symptoms. Dyspnea and depressive symptoms were associated cross-sectionally in former uranium workers.

Characterizing patterns of small pneumoconiotic opacities on chest radiographs of New Mexico coal miners.

Small pneumoconiotic opacities in coal miners are usually described as rounded, regular, and upper zone predominant. We aim to characterize chest radiographic patterns in New Mexico coal miners in comparison with other miners. Of the 330 chest radiographs reviewed, small pneumoconiotic opacities in New Mexico miners were almost always irregularly shaped, and lower lung zone predominant, consistent with diffuse dust-related pulmonary fibrosis. There was no significant difference in patterns of opacities between miners with exposure to coal mine dust exclusively, mixed coal and noncoal mine dust, and no coal dust. Our findings indicate that New Mexico coal miners demonstrate a different pattern of small pneumoconiotic opacities than the classic nodular pneumoconiosis described in the literature, predominantly from Appalachian miners. This may indicate differences in racial/ethnic characteristics or in the silica/silicate content of dust between the Appalachian and Mountain West regions.

A 2019 Update on Occupational Lung Diseases: A Narrative Review.

Occupational lung diseases (OLDs) are caused, aggravated or exacerbated by exposures at the workplace. OLDs encompass a wide range of respiratory diseases similar to that found outside the work environment. Occupational asthma is the most commonly diagnosed OLD. Other OLDs may include acute and chronic conditions, ranging from hypersensitivity pneumonitis to chronic obstructive pulmonary disease (COPD) to pulmonary fibrosis. Historically, research into OLDs has centered on diseases resulting from exposures relevant to high-income countries and more obvious hazardous occupations, such as silicosis in coal miners. Peer-reviewed publications in 2019 have broadened the focus to include low- and middle-income countries and once-overlooked occupations such as dry cleaning and animal husbandry. Technological advances and greater understanding of disease etiology have allowed researchers and clinicians to implement improved risk analysis, screening and mitigation strategies to not only treat disease once it occurs, but to identify at-risk populations and institute protections to prevent or limit the negative impacts of workplace hazards. As recognition of OLDs as a worldwide threat in a variety of occupations increases, research is allowing for the development of better treatments and preventive measures that advance workers' rights and ensure their continued good health.

Association between Spirometric Parameters and Depressive Symptoms in New Mexico Uranium Workers.

BACKGROUND: Uranium workers are at risk of developing lung disease, characterized by low forced expiratory volume in one second (FEV1) and/or forced vital capacity (FVC). Previous studies have found an association between decreased lung function and depressive symptoms in patients with pulmonary pathologies, but this association has not been well examined in occupational cohorts, especially uranium workers. METHODS: This cross-sectional study evaluated the association between spirometric measures and depressive symptoms in a sample of elderly former uranium workers screened by the New Mexico Radiation Exposure Screening & Education Program (NM-RESEP). Race- and ethnicity-specific reference equations were used to determine predicted spirometric indices (predictor variable). At least one depressive symptom [depressed mood and/or anhedonia, as determined by a modified Patient Health Questionnaire-2 (PHQ-2)], was the outcome variables. Chi-square tests and multivariable logistic regression models were used for statistical analyses. RESULTS: At least one depressive symptom was self-reported by 7.6% of uranium workers. Depressed mood was reported over twice as much as anhedonia (7.2% versus 3.3%). Abnormal FVC was associated with at least one depressive symptom after adjustment for covariates. There was no significant interaction between race/ethnicity and spirometric indices on depressive symptoms. CONCLUSIONS: Although depressive symptoms are uncommonly reported in uranium workers, they are an important comorbidity due to their overall clinical impact. Abnormal FVC was associated with depressive symptoms. Race/ethnicity was not found to be an effect modifier for the association between abnormal FVC and depressive symptoms. To better understand the mechanism underlying this association and determine if a causal relationship exists between spirometric indices and depressive symptoms in occupational populations at risk for developing lung disease, larger longitudinal studies are required. We recommend screening for depressive symptoms for current and former uranium workers as part of routine health surveillance of this occupational cohort. Such screening may help overcome workers' reluctance to self-report and seek treatment for depression and may avoid negative consequences to health and safety from missed diagnoses.