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523 results on '"Friesen, Melissa C."'

8. Benzene exposure and risk of lung cancer in the Norwegian Offshore Petroleum Worker cohort: a prospective case-cohort study

Author

Babigumira, Ronnie, primary, Veierød, Marit B, additional, Hosgood, H Dean, additional, Samuelsen, Sven Ove, additional, Bråtveit, Magne, additional, Kirkeleit, Jorunn, additional, Rothman, Nathaniel, additional, Lan, Qing, additional, Silverman, Debra T, additional, Friesen, Melissa C, additional, Shala, Nita Kaupang, additional, Grimsrud, Tom K, additional, and Stenehjem, Jo Steinson, additional

Published
2023
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9. Supplemental Table 1 from Nitrated Polycyclic Aromatic Hydrocarbon (Nitro-PAH) Signatures and Somatic Mutations in Diesel Exhaust-Exposed Bladder Tumors

Author

Gonzalez, Nicole, primary, Rao, Nina, primary, Dean, Michael, primary, Lee, Donghyuk, primary, Hurson, Amber N., primary, Baris, Dalsu, primary, Schwenn, Molly, primary, Johnson, Alison, primary, Prokunina-Olsson, Ludmila, primary, Friesen, Melissa C., primary, Zhu, Bin, primary, Rothman, Nathaniel, primary, Silverman, Debra T., primary, and Koutros, Stella, primary

Published
2023
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21. Supplemental Table 5 from Nitrated Polycyclic Aromatic Hydrocarbon (Nitro-PAH) Signatures and Somatic Mutations in Diesel Exhaust-Exposed Bladder Tumors

Author

Gonzalez, Nicole, primary, Rao, Nina, primary, Dean, Michael, primary, Lee, Donghyuk, primary, Hurson, Amber N., primary, Baris, Dalsu, primary, Schwenn, Molly, primary, Johnson, Alison, primary, Prokunina-Olsson, Ludmila, primary, Friesen, Melissa C., primary, Zhu, Bin, primary, Rothman, Nathaniel, primary, Silverman, Debra T., primary, and Koutros, Stella, primary

Published
2023
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24. An algorithm for quantitatively estimating occupational endotoxin exposure in the Biomarkers of Exposure and Effect in Agriculture (BEEA) study: I. Development of task‐specific exposure levels from published data

Author

Friesen, Melissa C., primary, Xie, Shuai, additional, Sauvé, Jean‐François, additional, Viet, Susan Marie, additional, Josse, Pabitra R., additional, Locke, Sarah J., additional, Hung, Felicia, additional, Andreotti, Gabriella, additional, Thorne, Peter S., additional, Hofmann, Jonathan N., additional, and Beane Freeman, Laura E., additional

Published
2023
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25. An algorithm for quantitatively estimating occupational endotoxin exposure in the biomarkers of exposure and effect in agriculture study: II. Application to the study population

Author

Friesen, Melissa C., primary, Beane Freeman, Laura E., additional, Locke, Sarah J., additional, Josse, Pabitra R., additional, Xie, Shuai, additional, Viet, Susan Marie, additional, Sauvé, Jean‐François, additional, Andreotti, Gabriella, additional, Thorne, Peter S., additional, and Hofmann, Jonathan N., additional

Published
2023
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26. Data from Nitrated Polycyclic Aromatic Hydrocarbon (Nitro-PAH) Signatures and Somatic Mutations in Diesel Exhaust-Exposed Bladder Tumors

Author

Gonzalez, Nicole, primary, Rao, Nina, primary, Dean, Michael, primary, Lee, Donghyuk, primary, Hurson, Amber N., primary, Baris, Dalsu, primary, Schwenn, Molly, primary, Johnson, Alison, primary, Prokunina-Olsson, Ludmila, primary, Friesen, Melissa C., primary, Zhu, Bin, primary, Rothman, Nathaniel, primary, Silverman, Debra T., primary, and Koutros, Stella, primary

Published
2023
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27. Supplemental Table 6 from Nitrated Polycyclic Aromatic Hydrocarbon (Nitro-PAH) Signatures and Somatic Mutations in Diesel Exhaust-Exposed Bladder Tumors

Author

Gonzalez, Nicole, primary, Rao, Nina, primary, Dean, Michael, primary, Lee, Donghyuk, primary, Hurson, Amber N., primary, Baris, Dalsu, primary, Schwenn, Molly, primary, Johnson, Alison, primary, Prokunina-Olsson, Ludmila, primary, Friesen, Melissa C., primary, Zhu, Bin, primary, Rothman, Nathaniel, primary, Silverman, Debra T., primary, and Koutros, Stella, primary

Published
2023
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28. Supplemental Table 2 from Nitrated Polycyclic Aromatic Hydrocarbon (Nitro-PAH) Signatures and Somatic Mutations in Diesel Exhaust-Exposed Bladder Tumors

Author

Gonzalez, Nicole, primary, Rao, Nina, primary, Dean, Michael, primary, Lee, Donghyuk, primary, Hurson, Amber N., primary, Baris, Dalsu, primary, Schwenn, Molly, primary, Johnson, Alison, primary, Prokunina-Olsson, Ludmila, primary, Friesen, Melissa C., primary, Zhu, Bin, primary, Rothman, Nathaniel, primary, Silverman, Debra T., primary, and Koutros, Stella, primary

Published
2023
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29. Supplemental Table 3 from Nitrated Polycyclic Aromatic Hydrocarbon (Nitro-PAH) Signatures and Somatic Mutations in Diesel Exhaust-Exposed Bladder Tumors

Author

Gonzalez, Nicole, primary, Rao, Nina, primary, Dean, Michael, primary, Lee, Donghyuk, primary, Hurson, Amber N., primary, Baris, Dalsu, primary, Schwenn, Molly, primary, Johnson, Alison, primary, Prokunina-Olsson, Ludmila, primary, Friesen, Melissa C., primary, Zhu, Bin, primary, Rothman, Nathaniel, primary, Silverman, Debra T., primary, and Koutros, Stella, primary

Published
2023
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30. Supplemental Table 4 from Nitrated Polycyclic Aromatic Hydrocarbon (Nitro-PAH) Signatures and Somatic Mutations in Diesel Exhaust-Exposed Bladder Tumors

Author

Gonzalez, Nicole, primary, Rao, Nina, primary, Dean, Michael, primary, Lee, Donghyuk, primary, Hurson, Amber N., primary, Baris, Dalsu, primary, Schwenn, Molly, primary, Johnson, Alison, primary, Prokunina-Olsson, Ludmila, primary, Friesen, Melissa C., primary, Zhu, Bin, primary, Rothman, Nathaniel, primary, Silverman, Debra T., primary, and Koutros, Stella, primary

Published
2023
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31. Supplemental Table 7 from Nitrated Polycyclic Aromatic Hydrocarbon (Nitro-PAH) Signatures and Somatic Mutations in Diesel Exhaust-Exposed Bladder Tumors

Author

Gonzalez, Nicole, primary, Rao, Nina, primary, Dean, Michael, primary, Lee, Donghyuk, primary, Hurson, Amber N., primary, Baris, Dalsu, primary, Schwenn, Molly, primary, Johnson, Alison, primary, Prokunina-Olsson, Ludmila, primary, Friesen, Melissa C., primary, Zhu, Bin, primary, Rothman, Nathaniel, primary, Silverman, Debra T., primary, and Koutros, Stella, primary

Published
2023
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32. Nitrated Polycyclic Aromatic Hydrocarbon (Nitro-PAH) Signatures and Somatic Mutations in Diesel Exhaust-Exposed Bladder Tumors

Author

Gonzalez, Nicole, primary, Rao, Nina, additional, Dean, Michael, additional, Lee, Donghyuk, additional, Hurson, Amber N., additional, Baris, Dalsu, additional, Schwenn, Molly, additional, Johnson, Alison, additional, Prokunina-Olsson, Ludmila, additional, Friesen, Melissa C., additional, Zhu, Bin, additional, Rothman, Nathaniel, additional, Silverman, Debra T., additional, and Koutros, Stella, additional

Published
2023
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36. Automated Coding of Job Descriptions From a General Population Study: Overview of Existing Tools, Their Application and Comparison

Author

Wan, Wenxin, primary, Ge, Calvin B, additional, Friesen, Melissa C, additional, Locke, Sarah J, additional, Russ, Daniel E, additional, Burstyn, Igor, additional, Baker, Christopher J O, additional, Adisesh, Anil, additional, Lan, Qing, additional, Rothman, Nathaniel, additional, Huss, Anke, additional, van Tongeren, Martie, additional, Vermeulen, Roel, additional, and Peters, Susan, additional

Published
2023
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37. Artificial intelligence exceeds humans in epidemiological job coding

Author

Sub Human-Centered Computing, IRAS OH Epidemiology Chemical Agents, IRAS – One Health Chemical, Langezaal, Mathijs A, van den Broek, Egon L, Peters, Susan, Goldberg, Marcel, Rey, Grégoire, Friesen, Melissa C, Locke, Sarah J, Rothman, Nathaniel, Lan, Qing, Vermeulen, Roel C H, Sub Human-Centered Computing, IRAS OH Epidemiology Chemical Agents, IRAS – One Health Chemical, Langezaal, Mathijs A, van den Broek, Egon L, Peters, Susan, Goldberg, Marcel, Rey, Grégoire, Friesen, Melissa C, Locke, Sarah J, Rothman, Nathaniel, Lan, Qing, and Vermeulen, Roel C H

Published
2023

38. Automated Coding of Job Descriptions From a General Population Study: Overview of Existing Tools, Their Application and Comparison

Author

IRAS OH Epidemiology Chemical Agents, IRAS – One Health Chemical, Wan, Wenxin, Ge, Calvin B, Friesen, Melissa C, Locke, Sarah J, Russ, Daniel E, Burstyn, Igor, Baker, Christopher J O, Adisesh, Anil, Lan, Qing, Rothman, Nathaniel, Huss, Anke, van Tongeren, Martie, Vermeulen, Roel, Peters, Susan, IRAS OH Epidemiology Chemical Agents, IRAS – One Health Chemical, Wan, Wenxin, Ge, Calvin B, Friesen, Melissa C, Locke, Sarah J, Russ, Daniel E, Burstyn, Igor, Baker, Christopher J O, Adisesh, Anil, Lan, Qing, Rothman, Nathaniel, Huss, Anke, van Tongeren, Martie, Vermeulen, Roel, and Peters, Susan

Published
2023

40. Simultaneous modeling of detection rate and exposure concentration using semi-continuous models to identify exposure determinants when left-censored data may be a true zero

Author

Friesen, Melissa C., Choo-Wosoba, Hyoyoung, Sarazin, Philippe, Hwang, Jooyeon, Dopart, Pamela, Russ, Daniel E., Deziel, Nicole C., Lavoué, Jérôme, Albert, Paul S., and Zhu, Bin

Abstract

Background: Most methods for treating left-censored data assume the analyte is present but not quantified. Biased estimates may result if the analyte is absent such that the unobserved data represents a mixed exposure distribution with an unknown proportion clustered at zero. Objective: We used semi-continuous models to identify time and industry trends in 52,457 OSHA inspection lead sample results. Method: The first component of the semi-continuous model predicted the probability of detecting concentrations ≥ 0.007 mg/m3(highest estimated detection limit, 62% of measurements). The second component predicted the median concentration of measurements ≥ 0.007 mg/m3. Both components included a random-effect for industry and fixed-effects for year, industry group, analytical method, and other variables. We used the two components together to predict median industry- and time-specific lead concentrations. Results: The probabilities of detectable concentrations and the median detected concentrations decreased with year; both were also lower for measurements analyzed for multiple (vs. one) metals and for those analyzed by inductively-coupled plasma (vs. atomic absorption spectroscopy). The covariance was 0.30 (standard error = 0.06), confirming the two components were correlated. Significance: We identified determinants of exposure in data with over 60% left-censored, while accounting for correlated relationships and without assuming a distribution for the censored data.

Published
2024
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41. Exposure to fibres and risk of pleural mesothelioma in the Norwegian Offshore Petroleum Workers cohort

Author

Berge, Leon Alexander Mclaren, Shala, Nita Kaupang, Barone-Adesi, Francesco, Hosgood, H Dean, Samuelsen, Sven Ove, Bråtveit, Magne, Kirkeleit, Jorunn, Silverman, Debra, Friesen, Melissa C, Babigumira, Ronnie, Grimsrud, Tom K, Veierød, Marit B, and Stenehjem, Jo S

Abstract

ObjectivesPleural mesothelioma is a rare respiratory cancer, mainly caused by inhalation of asbestos fibres. Other inorganic fibres are also suggested risk factors. We aimed to investigate the association between exposure to asbestos or refractory ceramic fibres (RCFs) and pleural mesothelioma among male Norwegian offshore petroleum workers.MethodsAmong 25 347 men in the Norwegian Offshore Petroleum Workers (NOPW) cohort (1965–1998), 43 pleural mesothelioma cases were identified through the Cancer Registry of Norway (1999–2022). A case–cohort study was conducted with 2095 randomly drawn non-cases from the cohort. Asbestos and RCF exposures were assessed with expert-made job-exposure matrices (JEMs). Weighted Cox regression was used to estimate HRs and 95% CIs, adjusted for age at baseline and pre-offshore employment with likely asbestos exposure.ResultsAn increased risk of pleural mesothelioma was indicated for the highest versus lowest tertile of average intensity of asbestos (HR=1.21, 95% CI: 0.57 to 2.54). Pre-offshore asbestos exposure (vs no such exposure) was associated with increased risk of pleural mesothelioma (HR=2.06, 95% CI: 1.11 to 3.81). For offshore workers with no pre-offshore asbestos exposure, an increased risk of pleural mesothelioma was found for the highest tertile of average intensity of asbestos (HR=4.13, 95% CI: 0.93 to 18), versus the lowest tertile. No associations were found between RCF and pleural mesothelioma.ConclusionsAssociations between JEM-based offshore asbestos exposure and pleural mesothelioma were confirmed in the NOPW cohort. Pleural mesothelioma risk was also associated with asbestos exposure before work in the offshore petroleum industry.

Published
2024
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42. Night shift work and risk of aggressive prostate cancer in the Norwegian Offshore Petroleum Workers (NOPW) cohort.

Author

Berge, Leon A M, Liu, Fei-Chih, Grimsrud, Tom K, Babigumira, Ronnie, Støer, Nathalie C, Kjærheim, Kristina, Robsahm, Trude E, Ghiasvand, Reza, Hosgood, H Dean, Samuelsen, Sven Ove, Silverman, Debra T, Friesen, Melissa C, Shala, Nita K, Veierød, Marit B, and Stenehjem, Jo S

Subjects
SHIFT systems, PETROLEUM workers, PETROLEUM in submerged lands, NIGHT work, PROSTATE cancer
Abstract

Background Night shift work may acutely disrupt the circadian rhythm, with possible carcinogenic effects. Prostate cancer has few established risk factors though night shift work, a probable human carcinogen, may increase the risk. We aimed to study the association between night shift work and chlorinated degreasing agents (CDAs) as possible endocrine disrupters in relation to aggressive prostate cancer as verified malignancies. Methods We conducted a case-cohort study on 299 aggressive prostate cancer cases and 2056 randomly drawn non-cases in the Norwegian Offshore Petroleum Workers cohort (1965–98) with linkage to the Cancer Registry of Norway (1953–2019). Work history was recorded as years with day, night, and rollover (rotating) shift work, and CDA exposure was assessed with expert-made job-exposure matrices. Weighted Cox regression was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for aggressive prostate cancer, adjusted for education and year of first employment, stratified by 10-year birth cohorts, and with 10, 15, and 20 years of exposure lag periods. Results Compared with day work only, an increased hazard of aggressive prostate cancer (HR = 1.86, 95% CI 1.18–2.91; P -trend = 0.046) was found in workers exposed to ≥19.5 years of rollover shift work. This persisted with longer lag periods (HR = 1.90, 95% CI 0.92–3.95; P -trend = 0.007). The exposure-hazard curve for a non-linear model increased linearly (HRs ≥1.00) for 18–26 years of rollover shift work. No association was found with CDA exposure. Conclusions Long-term exposure to rollover shift work may increase the hazard of aggressive prostate cancer in offshore petroleum workers. [ABSTRACT FROM AUTHOR]

Published
2023
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43. Using a smartphone application to capture daily work activities: a longitudinal pilot study in a farming population.

Author

Josse, Pabitra R, Locke, Sarah J, Bowles, Heather R, Wolff-Hughes, Dana L, Sauve, Jean-François, Andreotti, Gabriella, Moon, Jon, Hofmann, Jonathan N, Freeman, Laura E Beane, and Friesen, Melissa C

Subjects
WORK environment, PILOT projects, MOBILE apps, SMARTPHONES, OCCUPATIONAL exposure, DESCRIPTIVE statistics, RESEARCH funding, MOTION capture (Human mechanics), AGRICULTURAL laborers, DIGITAL video, LONGITUDINAL method, HORTICULTURE
Abstract

Objectives Smartphones are increasingly used to collect real-time information on time-varying exposures. We developed and deployed an application (app) to evaluate the feasibility of using smartphones to collect real-time information on intermittent agricultural activities and to characterize agricultural task variability in a longitudinal study of farmers. Methods We recruited 19 male farmers, aged 50–60 years, to report their farming activities on 24 randomly selected days over 6 months using the Life in a Day app. Eligibility criteria include personal use of an iOS or Android smartphone and >4 h of farming activities at least two days per week. We developed a study-specific database of 350 farming tasks that were provided in the app; 152 were linked to questions that were asked when the activity ended. We report eligibility, study compliance, number of activities, duration of activities by day and task, and responses to the follow-up questions. Results Of the 143 farmers we reached out to for this study, 16 were not reached by phone or refused to answer eligibility questions, 69 were ineligible (limited smartphone use and/or farming time), 58 met study criteria, and 19 agreed to participate. Refusals were mostly related to uneasiness with the app and/or time commitment (32 of 39). Participation declined gradually over time, with 11 farmers reporting activities through the 24-week study period. We obtained data on 279 days (median 554 min/day; median 18 days per farmer) and 1,321 activities (median 61 min/activity; median 3 activities per day per farmer). The activities were predominantly related to animals (36%), transportation (12%), and equipment (10%). Planting crops and yard work had the longest median durations; short-duration tasks included fueling trucks, collecting/storing eggs, and tree work. Time period-specific variability was observed; for example, crop-related activities were reported for an average of 204 min/day during planting but only 28 min/day during pre-planting and 110 min/day during the growing period. We obtained additional information for 485 (37%) activities; the most frequently asked questions were related to "feed animals" (231 activities) and "operate fuel-powered vehicle (transportation)" (120 activities). Conclusions Our study demonstrated feasibility and good compliance in collecting longitudinal activity data over 6 months using smartphones in a relatively homogeneous population of farmers. We captured most of the farming day and observed substantial heterogeneity in activities, highlighting the need for individual activity data when characterizing exposure in farmers. We also identified several areas for improvement. In addition, future evaluations should include more diverse populations. [ABSTRACT FROM AUTHOR]

Published
2023
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44. Night shift work and risk of aggressive prostate cancer in the Norwegian Offshore Petroleum Workers (NOPW) cohort

Author

Berge, Leon A M, primary, Liu, Fei-Chih, additional, Grimsrud, Tom K, additional, Babigumira, Ronnie, additional, Støer, Nathalie C, additional, Kjærheim, Kristina, additional, Robsahm, Trude E, additional, Ghiasvand, Reza, additional, Hosgood, H Dean, additional, Samuelsen, Sven Ove, additional, Silverman, Debra T, additional, Friesen, Melissa C, additional, Shala, Nita K, additional, Veierød, Marit B, additional, and Stenehjem, Jo S, additional

Published
2022
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47. Identifying gender differences in reported occupational information from three US population-based case-control studies

Author

Locke, Sarah J, Colt, Joanne S, Stewart, Patricia A, Armenti, Karla R, Baris, Dalsu, Blair, Aaron, Cerhan, James R, Chow, Wong-Ho, Cozen, Wendy, Davis, Faith, De Roos, Annedaire J, Hartge, Patricia, Karagas, Margaret R, Johnson, Alison, Purdue, Mark P, Rothman, Nathaniel, Schwartz, Kendra, Schwenn, Molly, Severson, Richard, Silverman, Debra T, and Friesen, Melissa C

Published
2014

48. Urinary biomonitoring of glyphosate exposure among male farmers and non-farmers in the Biomarkers of Exposure and Effect in Agriculture (BEEA) study

Author

Chang, Vicky C., primary, Ospina, Maria, additional, Xie, Shuai, additional, Andreotti, Gabriella, additional, Friesen, Melissa C., additional, Liu, Danping, additional, Rothman, Nathaniel, additional, Silverman, Debra T., additional, Beane Freeman, Laura E., additional, Calafat, Antonia M., additional, and Hofmann, Jonathan N., additional

Published
2022
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