Pub Date : 2019-12-01DOI: 10.1097/JOM.0000000000001740
F. Los, A. D. de Boer, H. F. van der Molen, C. Hulshof
OBJECTIVE Workers' health surveillance (WHS) is an important preventive activity to prevent work-related diseases. This study aimed to get insight in the implementation of WHS by occupational physicians (OPs). METHODS A survey was conducted among 128 OPs, in which the actual implementation of WHS, OP's needs, knowledge, skills and motivation of, and opportunities for the implementation of WHS were assessed. RESULTS In total, 96 OPs had implemented WHS in the past five years. Almost all OPs were motivated, and indicated the need for further development of knowledge and skills. The majority of OPs experienced insufficient opportunities to implement WHS, and mentioned employers are not positive towards WHS. CONCLUSION Even though OPs are motivated to implement WHS, development of knowledge and skills, and support to implement WHS at employers is needed to increase implementation of WHS.
{"title":"The Implementation of Workers' Health Surveillance by Occupational Physicians: A Survey Study.","authors":"F. Los, A. D. de Boer, H. F. van der Molen, C. Hulshof","doi":"10.1097/JOM.0000000000001740","DOIUrl":"https://doi.org/10.1097/JOM.0000000000001740","url":null,"abstract":"OBJECTIVE\u0000Workers' health surveillance (WHS) is an important preventive activity to prevent work-related diseases. This study aimed to get insight in the implementation of WHS by occupational physicians (OPs).\u0000\u0000\u0000METHODS\u0000A survey was conducted among 128 OPs, in which the actual implementation of WHS, OP's needs, knowledge, skills and motivation of, and opportunities for the implementation of WHS were assessed.\u0000\u0000\u0000RESULTS\u0000In total, 96 OPs had implemented WHS in the past five years. Almost all OPs were motivated, and indicated the need for further development of knowledge and skills. The majority of OPs experienced insufficient opportunities to implement WHS, and mentioned employers are not positive towards WHS.\u0000\u0000\u0000CONCLUSION\u0000Even though OPs are motivated to implement WHS, development of knowledge and skills, and support to implement WHS at employers is needed to increase implementation of WHS.","PeriodicalId":46545,"journal":{"name":"International Journal of Occupational and Environmental Medicine","volume":"2004 13","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1097/JOM.0000000000001740","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72538132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-01DOI: 10.1097/JOM.0000000000001732
E. Robertson
OBJECTIVE The purpose of this quality improvement project was to implement a standardized screening protocol to identify post-traumatic stress disorder (PTSD) in first responders during employment physicals in a primary care setting. METHODS A pre-/post-intervention project design was used, utilizing the PTSD Checklist for the DSM-5 (PCL-5) screening tool. Outcome measures included screening completion, positive screening rate, and referral rate. RESULTS A total of 331 first responders presented for employment physicals. In the post-intervention cohort, 96% (152/158) of first responders were screened. From pre- to post-intervention, first responders who screened positive increased from <1% (1/173) to 4.6% (7/152). Of those screening positive, a total of five of seven (71%) patients were referred for mental health evaluation. CONCLUSIONS A standardized screening protocol using a validated self-assessment tool improved PTSD surveillance in first responders and triggered referral.
{"title":"Implementation of a Standardized Screening Protocol to Improve PTSD Surveillance in First Responders.","authors":"E. Robertson","doi":"10.1097/JOM.0000000000001732","DOIUrl":"https://doi.org/10.1097/JOM.0000000000001732","url":null,"abstract":"OBJECTIVE\u0000The purpose of this quality improvement project was to implement a standardized screening protocol to identify post-traumatic stress disorder (PTSD) in first responders during employment physicals in a primary care setting.\u0000\u0000\u0000METHODS\u0000A pre-/post-intervention project design was used, utilizing the PTSD Checklist for the DSM-5 (PCL-5) screening tool. Outcome measures included screening completion, positive screening rate, and referral rate.\u0000\u0000\u0000RESULTS\u0000A total of 331 first responders presented for employment physicals. In the post-intervention cohort, 96% (152/158) of first responders were screened. From pre- to post-intervention, first responders who screened positive increased from <1% (1/173) to 4.6% (7/152). Of those screening positive, a total of five of seven (71%) patients were referred for mental health evaluation.\u0000\u0000\u0000CONCLUSIONS\u0000A standardized screening protocol using a validated self-assessment tool improved PTSD surveillance in first responders and triggered referral.","PeriodicalId":46545,"journal":{"name":"International Journal of Occupational and Environmental Medicine","volume":"54 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78814897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-01DOI: 10.1097/JOM.0000000000001725
C. Magee, V. Gopaldasani, S. Bakand, Robyn Coman
OBJECTIVE To investigate the relationships between the physical work environment and sleep using a person-centred approach. METHODS A total of 542 Australian employees aged 18 - 60 years completed a survey assessing exposure to physical work environment stressors (e.g., noise, poor air quality and hazardous manual tasks), sleep timing and sleep quality, and relevant covariates. RESULTS Latent class analysis (LCA) revealed three physical work environment classes: Infrequent exposure (51%); Occasional Exposure (31%); and, Regular Exposure (18%). LCA also identified four sleep classes: Larks (24%); Typical sleep (43%); Insufficient Sleep (20%); and Owls (13%). The Regular Exposure class was significantly associated with the Insufficient Sleep (OR = 3.15, [1.29, 7.66]) and Owls (OR = 3.47 [1.24, 9.71]) classes. CONCLUSIONS The person-centred approach provides important insights into how unique physical work environment experiences are linked with sleep.
{"title":"The Physical Work Environment and Sleep: A Latent Class Analysis.","authors":"C. Magee, V. Gopaldasani, S. Bakand, Robyn Coman","doi":"10.1097/JOM.0000000000001725","DOIUrl":"https://doi.org/10.1097/JOM.0000000000001725","url":null,"abstract":"OBJECTIVE\u0000To investigate the relationships between the physical work environment and sleep using a person-centred approach.\u0000\u0000\u0000METHODS\u0000A total of 542 Australian employees aged 18 - 60 years completed a survey assessing exposure to physical work environment stressors (e.g., noise, poor air quality and hazardous manual tasks), sleep timing and sleep quality, and relevant covariates.\u0000\u0000\u0000RESULTS\u0000Latent class analysis (LCA) revealed three physical work environment classes: Infrequent exposure (51%); Occasional Exposure (31%); and, Regular Exposure (18%). LCA also identified four sleep classes: Larks (24%); Typical sleep (43%); Insufficient Sleep (20%); and Owls (13%). The Regular Exposure class was significantly associated with the Insufficient Sleep (OR = 3.15, [1.29, 7.66]) and Owls (OR = 3.47 [1.24, 9.71]) classes.\u0000\u0000\u0000CONCLUSIONS\u0000The person-centred approach provides important insights into how unique physical work environment experiences are linked with sleep.","PeriodicalId":46545,"journal":{"name":"International Journal of Occupational and Environmental Medicine","volume":"26 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72821346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-01DOI: 10.1097/JOM.0000000000001707
R. Meenan, B. Walkosz, D. Buller, R. Eye, M. Buller, A. Wallis, Savanna Olivas
OBJECTIVE Economic evaluation of an intervention promoting adoption of occupational sun protection actions by Colorado public sector employers. METHODS Randomized controlled trial with 2-year follow-up conducted during 2010 to 2013. Thirty-three intervention and 30 attention-control worksites in final economic sample. Twenty-four-month intervention of personal contacts, training, and materials. Intervention delivery micro-costed. Costs of implemented actions from employer self-report. RESULTS Twenty-four-month intervention costs: $121,789, 51.8% incurred by project staff (per-worksite mean=$1,732). Worksite costs: $58,631 (mean = $1,777). Per-employee costs: $118 project staff, $56 worksites. Materials cost: $5990 (mean = $181). Intervention worksites implemented 72 nontraining sun protection actions post-Sun Safe Workplaces (SSW) (mean = 2.18). Control worksites implemented 39 actions (mean = 1.30). Total costs to intervention worksites of implementing the 72 post-SSW actions: $90,645 (mean = $2,747). Control worksite costs: $66,467 (mean = $2,216). Per-employee implementation costs are comparable to other worksite health interventions. CONCLUSION SSW expanded adoption of sun protection actions at a reasonable per-employee cost.
{"title":"Economic Evaluation of an Intervention Promoting Adoption of Occupational Sun Protection Policies.","authors":"R. Meenan, B. Walkosz, D. Buller, R. Eye, M. Buller, A. Wallis, Savanna Olivas","doi":"10.1097/JOM.0000000000001707","DOIUrl":"https://doi.org/10.1097/JOM.0000000000001707","url":null,"abstract":"OBJECTIVE\u0000Economic evaluation of an intervention promoting adoption of occupational sun protection actions by Colorado public sector employers.\u0000\u0000\u0000METHODS\u0000Randomized controlled trial with 2-year follow-up conducted during 2010 to 2013. Thirty-three intervention and 30 attention-control worksites in final economic sample. Twenty-four-month intervention of personal contacts, training, and materials. Intervention delivery micro-costed. Costs of implemented actions from employer self-report.\u0000\u0000\u0000RESULTS\u0000Twenty-four-month intervention costs: $121,789, 51.8% incurred by project staff (per-worksite mean=$1,732). Worksite costs: $58,631 (mean = $1,777). Per-employee costs: $118 project staff, $56 worksites. Materials cost: $5990 (mean = $181). Intervention worksites implemented 72 nontraining sun protection actions post-Sun Safe Workplaces (SSW) (mean = 2.18). Control worksites implemented 39 actions (mean = 1.30). Total costs to intervention worksites of implementing the 72 post-SSW actions: $90,645 (mean = $2,747). Control worksite costs: $66,467 (mean = $2,216). Per-employee implementation costs are comparable to other worksite health interventions.\u0000\u0000\u0000CONCLUSION\u0000SSW expanded adoption of sun protection actions at a reasonable per-employee cost.","PeriodicalId":46545,"journal":{"name":"International Journal of Occupational and Environmental Medicine","volume":"79 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77949838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-01DOI: 10.1097/JOM.0000000000001691
C. Woeller, T. Thatcher, J. Thakar, Adam B Cornwell, M. Smith, Dean P. Jones, P. Hopke, P. Sime, Pamela L Krahl, Timothy M Mallon, R. Phipps, M. Utell
OBJECTIVE Benzo(ghi)perylene (BghiP) and 1,2,3,4,6,7,8-Heptachlorodibenzo-p-dioxin (HpCDD) were elevated in serum from personnel deployed to sites with open burn pits. Here, we investigated the ability of BghiP and HpCDD to regulate microRNA (miRNA) expression through the aryl hydrocarbon receptor (AHR). METHODS Human lung fibroblasts (HLFs) were exposed to BghiP and HpCDD. AHR activity was measured by reporter assay and gene expression. Deployment related miRNA were measured by quantitative polymerase chain reaction. AHR expression was depleted using siRNA. RESULTS BghiP displayed weak AHR agonist activity. HpCDD induced AHR activity in a dose-dependent manner. Let-7d-5p, miR-103-3p, miR-107, and miR-144-3p levels were significantly altered by HpCDD. AHR knockdown attenuated these effects. CONCLUSIONS These studies reveal that miRNAs previously identified in sera from personnel deployed to sites with open burn pits are altered by HpCDD exposure in HLFs.
{"title":"Exposure to Heptachlorodibenzo-p-dioxin (HpCDD) Regulates microRNA Expression in Human Lung Fibroblasts.","authors":"C. Woeller, T. Thatcher, J. Thakar, Adam B Cornwell, M. Smith, Dean P. Jones, P. Hopke, P. Sime, Pamela L Krahl, Timothy M Mallon, R. Phipps, M. Utell","doi":"10.1097/JOM.0000000000001691","DOIUrl":"https://doi.org/10.1097/JOM.0000000000001691","url":null,"abstract":"OBJECTIVE\u0000Benzo(ghi)perylene (BghiP) and 1,2,3,4,6,7,8-Heptachlorodibenzo-p-dioxin (HpCDD) were elevated in serum from personnel deployed to sites with open burn pits. Here, we investigated the ability of BghiP and HpCDD to regulate microRNA (miRNA) expression through the aryl hydrocarbon receptor (AHR).\u0000\u0000\u0000METHODS\u0000Human lung fibroblasts (HLFs) were exposed to BghiP and HpCDD. AHR activity was measured by reporter assay and gene expression. Deployment related miRNA were measured by quantitative polymerase chain reaction. AHR expression was depleted using siRNA.\u0000\u0000\u0000RESULTS\u0000BghiP displayed weak AHR agonist activity. HpCDD induced AHR activity in a dose-dependent manner. Let-7d-5p, miR-103-3p, miR-107, and miR-144-3p levels were significantly altered by HpCDD. AHR knockdown attenuated these effects.\u0000\u0000\u0000CONCLUSIONS\u0000These studies reveal that miRNAs previously identified in sera from personnel deployed to sites with open burn pits are altered by HpCDD exposure in HLFs.","PeriodicalId":46545,"journal":{"name":"International Journal of Occupational and Environmental Medicine","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81507927","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-01DOI: 10.1097/JOM.0000000000001745
L. Kurth, M. Casey, P. Schleiff, Cara N Halldin, J. Mazurek, D. Blackley
OBJECTIVE To establish the burden of totally disabling respiratory impairment among coal miners, we identified the healthcare utilization and cost for Medicare claims where the Federal Black Lung Program (FBLP) was the primary payer. METHODS We extracted FBLP claims from 1999-2016 institutional Medicare data along with beneficiary, comorbidity, and claim cost information. Healthcare utilization was evaluated and compared to the 2016 Medicare population. RESULTS The FBLP was the primary payer on 75,690 claims from 19,700 beneficiaries and paid an increasing percentage of the total paid to providers annually. Claims decreased from 1999-2016 but cost per claim increased. Beneficiaries were hospitalized and visited the ER for respiratory and cardiovascular conditions. CONCLUSIONS Medicare beneficiaries with FBLP primary payer claims have higher healthcare utilization and comorbidities compared to Medicare enrollees, indicative of increased financial and healthcare burden.
{"title":"Medicare claims paid by the Federal Black Lung Benefits Program: U.S. Medicare Beneficiaries, 1999-2016.","authors":"L. Kurth, M. Casey, P. Schleiff, Cara N Halldin, J. Mazurek, D. Blackley","doi":"10.1097/JOM.0000000000001745","DOIUrl":"https://doi.org/10.1097/JOM.0000000000001745","url":null,"abstract":"OBJECTIVE\u0000To establish the burden of totally disabling respiratory impairment among coal miners, we identified the healthcare utilization and cost for Medicare claims where the Federal Black Lung Program (FBLP) was the primary payer.\u0000\u0000\u0000METHODS\u0000We extracted FBLP claims from 1999-2016 institutional Medicare data along with beneficiary, comorbidity, and claim cost information. Healthcare utilization was evaluated and compared to the 2016 Medicare population.\u0000\u0000\u0000RESULTS\u0000The FBLP was the primary payer on 75,690 claims from 19,700 beneficiaries and paid an increasing percentage of the total paid to providers annually. Claims decreased from 1999-2016 but cost per claim increased. Beneficiaries were hospitalized and visited the ER for respiratory and cardiovascular conditions.\u0000\u0000\u0000CONCLUSIONS\u0000Medicare beneficiaries with FBLP primary payer claims have higher healthcare utilization and comorbidities compared to Medicare enrollees, indicative of increased financial and healthcare burden.","PeriodicalId":46545,"journal":{"name":"International Journal of Occupational and Environmental Medicine","volume":"71 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90566576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-01DOI: 10.1097/JOM.0000000000001727
T. Kawada
To the Editor: D uchemin et al 1 conducted a repeated survey to elucidate factors impacting the occurrence of sick leave with special reference to duration. The authors recognized that the main determinants of longterm sick leaves more than a month were perceived health and supervisor acknowledgment in the workplace. In contrast, very short-term leave within 3 days were explained by sociodemographic covariates. To prevent long-term sick leaves at the workplace, monitoring perceived health level and improving supervisor acknowledgment might be effective in this population. I have two concerns about their study. First, Vedaa et al investigated the effects of long working hours ( h shifts) on subsequent sick leave. A total of 1538 nurses participated in this study and 3-month follow-up was conducted. Adjusted incidence rate ratio (IRR) (95% confidence interval [CI]) of long working hours for sick leave was 0.946 (0.919 to
{"title":"Predictors of Long-Term Sick Leave In The Workplace.","authors":"T. Kawada","doi":"10.1097/JOM.0000000000001727","DOIUrl":"https://doi.org/10.1097/JOM.0000000000001727","url":null,"abstract":"To the Editor: D uchemin et al 1 conducted a repeated survey to elucidate factors impacting the occurrence of sick leave with special reference to duration. The authors recognized that the main determinants of longterm sick leaves more than a month were perceived health and supervisor acknowledgment in the workplace. In contrast, very short-term leave within 3 days were explained by sociodemographic covariates. To prevent long-term sick leaves at the workplace, monitoring perceived health level and improving supervisor acknowledgment might be effective in this population. I have two concerns about their study. First, Vedaa et al investigated the effects of long working hours ( h shifts) on subsequent sick leave. A total of 1538 nurses participated in this study and 3-month follow-up was conducted. Adjusted incidence rate ratio (IRR) (95% confidence interval [CI]) of long working hours for sick leave was 0.946 (0.919 to","PeriodicalId":46545,"journal":{"name":"International Journal of Occupational and Environmental Medicine","volume":"119 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87115535","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-01DOI: 10.1097/JOM.0000000000001731
L. Zell-Baran, R. Meehan, J. Wolff, M. Strand, S. Krefft, E. Gottschall, T. V. Macedonia, J. E. Gross, O. L. Sanders, G. Pepper, C. Rose
OBJECTIVE Examine military occupational specialty (MOS) codes to identify those at risk from inhalation exposures during Southwest Asia deployment. METHODS Exposure intensity to diesel exhaust, sandstorms, burn pit smoke, combat dust and occupational vapors/dusts/gases/fumes (VDGF) were scored for all Army/Marine MOS codes by an expert panel. Based on MOS code, panel-rated exposure scores were compared to questionnaire data from military personnel with post-deployment respiratory illnesses. RESULTS All exposures except VDGF were rated higher (range p < 0.0001 to p = 0.003) for combat versus non-combat MOS codes. Deployers with respiratory illnesses reported more intense exposure to diesel exhaust (p < 0.0001), burn pit smoke (p < 0.0001), and sandstorms (p = 0.005) compared to panel raters. These deployers clustered in MOS codes rated highest for inhalation hazard exposure intensity. CONCLUSIONS MOS codes are useful in identifying high risk military occupations where medical surveillance and exposure control should be focused.
{"title":"Military Occupational Specialty Codes: Utility In Predicting Inhalation Exposures In Post-9/11 Deployers.","authors":"L. Zell-Baran, R. Meehan, J. Wolff, M. Strand, S. Krefft, E. Gottschall, T. V. Macedonia, J. E. Gross, O. L. Sanders, G. Pepper, C. Rose","doi":"10.1097/JOM.0000000000001731","DOIUrl":"https://doi.org/10.1097/JOM.0000000000001731","url":null,"abstract":"OBJECTIVE\u0000Examine military occupational specialty (MOS) codes to identify those at risk from inhalation exposures during Southwest Asia deployment.\u0000\u0000\u0000METHODS\u0000Exposure intensity to diesel exhaust, sandstorms, burn pit smoke, combat dust and occupational vapors/dusts/gases/fumes (VDGF) were scored for all Army/Marine MOS codes by an expert panel. Based on MOS code, panel-rated exposure scores were compared to questionnaire data from military personnel with post-deployment respiratory illnesses.\u0000\u0000\u0000RESULTS\u0000All exposures except VDGF were rated higher (range p < 0.0001 to p = 0.003) for combat versus non-combat MOS codes. Deployers with respiratory illnesses reported more intense exposure to diesel exhaust (p < 0.0001), burn pit smoke (p < 0.0001), and sandstorms (p = 0.005) compared to panel raters. These deployers clustered in MOS codes rated highest for inhalation hazard exposure intensity.\u0000\u0000\u0000CONCLUSIONS\u0000MOS codes are useful in identifying high risk military occupations where medical surveillance and exposure control should be focused.","PeriodicalId":46545,"journal":{"name":"International Journal of Occupational and Environmental Medicine","volume":"44 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73319616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-01DOI: 10.1097/JOM.0000000000001752
Timothy M Mallon, Pamela K Krahl, Kevin M Haines, D. Walker, T. Thatcher, C. Woeller, J. Thakar, P. Hopke, J. Gaydos, M. Smith, K. Uppal, Y. Go, Dean P. Jones, M. Utell
OBJECTIVE This paper provides an overview of our Military Biomarkers Research Study (MBRS) designed to assess whether biomarkers can be used to retrospectively assess deployment exposures and health impacts related to deployment environmental exposures. METHODS The MBRS consists of four phases. Phase I was a feasibility study of stored sera. Phase II looks at associations between exposures and biomarkers. Phase III examines relationships of biomarkers and health outcomes, and Phase IV investigates in vitro biomarker changes associated with exposures to chemicals of interest. This paper briefly summarizes work already published and introduces the new reports contained in this supplement. RESULTS Novel biomarkers were identified. These were associated with deployment exposures. CONCLUSIONS Significant associations were noted between deployment exposures, microRNA biomarkers and metabolomic biomarkers, and deployment health outcomes.
{"title":"Use of Biomarkers to Assess Environmental Exposures and Health Outcomes in Deployed Troops.","authors":"Timothy M Mallon, Pamela K Krahl, Kevin M Haines, D. Walker, T. Thatcher, C. Woeller, J. Thakar, P. Hopke, J. Gaydos, M. Smith, K. Uppal, Y. Go, Dean P. Jones, M. Utell","doi":"10.1097/JOM.0000000000001752","DOIUrl":"https://doi.org/10.1097/JOM.0000000000001752","url":null,"abstract":"OBJECTIVE\u0000This paper provides an overview of our Military Biomarkers Research Study (MBRS) designed to assess whether biomarkers can be used to retrospectively assess deployment exposures and health impacts related to deployment environmental exposures.\u0000\u0000\u0000METHODS\u0000The MBRS consists of four phases. Phase I was a feasibility study of stored sera. Phase II looks at associations between exposures and biomarkers. Phase III examines relationships of biomarkers and health outcomes, and Phase IV investigates in vitro biomarker changes associated with exposures to chemicals of interest. This paper briefly summarizes work already published and introduces the new reports contained in this supplement.\u0000\u0000\u0000RESULTS\u0000Novel biomarkers were identified. These were associated with deployment exposures.\u0000\u0000\u0000CONCLUSIONS\u0000Significant associations were noted between deployment exposures, microRNA biomarkers and metabolomic biomarkers, and deployment health outcomes.","PeriodicalId":46545,"journal":{"name":"International Journal of Occupational and Environmental Medicine","volume":"81 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75766282","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-01DOI: 10.1097/JOM.0000000000001665
Y. Go, M. Smith, D. Walker, K. Uppal, Patricia Rohrbeck, Pamela L Krahl, P. Hopke, M. Utell, Timothy M Mallon, Dean P. Jones
OBJECTIVE To use high-resolution metabolomics (HRM) to identify metabolic changes in military personnel associated with deployment to Balad, Iraq, or Bagram, Afghanistan. METHODS Pre- and post-deployment samples were obtained from the Department of Defense Serum Repository (DoDSR). HRM and bioinformatics were used to identify metabolic differences associated with deployment. RESULTS Differences at baseline (pre-deployment) between personnel deployed to Bagram compared with Balad or Controls included sex hormone and keratan sulfate metabolism. Deployment to Balad was associated with alterations to amino acid and lipid metabolism, consistent with inflammation and oxidative stress, and pathways linked to metabolic adaptation and repair. Difference associated with deployment to Bagram included lipid pathways linked to cell signaling and inflammation. CONCLUSIONS Metabolic variations in pre- and post-deployment are consistent with deployment-associated responses to air pollution and other environmental stressors.
{"title":"Metabolome-Wide Association Study of Deployment to Balad, Iraq or Bagram, Afghanistan.","authors":"Y. Go, M. Smith, D. Walker, K. Uppal, Patricia Rohrbeck, Pamela L Krahl, P. Hopke, M. Utell, Timothy M Mallon, Dean P. Jones","doi":"10.1097/JOM.0000000000001665","DOIUrl":"https://doi.org/10.1097/JOM.0000000000001665","url":null,"abstract":"OBJECTIVE\u0000To use high-resolution metabolomics (HRM) to identify metabolic changes in military personnel associated with deployment to Balad, Iraq, or Bagram, Afghanistan.\u0000\u0000\u0000METHODS\u0000Pre- and post-deployment samples were obtained from the Department of Defense Serum Repository (DoDSR). HRM and bioinformatics were used to identify metabolic differences associated with deployment.\u0000\u0000\u0000RESULTS\u0000Differences at baseline (pre-deployment) between personnel deployed to Bagram compared with Balad or Controls included sex hormone and keratan sulfate metabolism. Deployment to Balad was associated with alterations to amino acid and lipid metabolism, consistent with inflammation and oxidative stress, and pathways linked to metabolic adaptation and repair. Difference associated with deployment to Bagram included lipid pathways linked to cell signaling and inflammation.\u0000\u0000\u0000CONCLUSIONS\u0000Metabolic variations in pre- and post-deployment are consistent with deployment-associated responses to air pollution and other environmental stressors.","PeriodicalId":46545,"journal":{"name":"International Journal of Occupational and Environmental Medicine","volume":"34 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80386982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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