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Henrik A Kolstad - One of the best experts on this subject based on the ideXlab platform.
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A Quantitative General Population Job Exposure Matrix for Occupational Noise Exposure.
Annals of Work Exposures and Health, 2020Co-Authors: Zara Ann Stokholm, Jens Peter Bonde, Jesper Medom Vestergaard, Mogens Erlandsen, Vivi Schlünssen, Ioannis Basinas, Susan Peters, Jens Brandt, Henrik A KolstadAbstract:: Occupational Noise exposure is a known risk factor for hearing loss and also adverse cardiovascular effects have been suggested. A job exposure matrix (JEM) would enable studies of Noise and health on a large scale. The objective of this study was to create a quantitative JEM for Occupational Noise exposure assessment of the general working population. Between 2001-2003 and 2009-2010, we recruited workers from companies within the 10 industries with the highest reporting of Noise-induced hearing loss according to the Danish Working Environment Authority and in addition workers of financial services and children day care to optimize the range in exposure levels. We obtained 1343 personal Occupational Noise dosimeter measurements among 1140 workers representing 100 different jobs according to the Danish version of the International Standard Classification of Occupations 1988 (DISCO 88). Four experts used 35 of these jobs as benchmarks and rated Noise levels for the remaining 337 jobs within DISCO 88. To estimate Noise levels for all 372 jobs, we included expert ratings together with sex, age, Occupational class, and calendar year as fixed effects, while job and worker were included as random effects in a linear mixed regression model. The fixed effects explained 40% of the total variance: 72% of the between-jobs variance, -6% of the between-workers variance and 4% of the within-worker variance. Modelled Noise levels showed a monotonic increase with increasing expert score and a 20 dB difference between the highest and lowest exposed jobs. Based on the JEM estimates, metal wheel-grinders were among the highest and finance and sales professionals among the lowest exposed. This JEM of Occupational Noise exposure can be used to prioritize preventive efforts of Occupational Noise exposure and to provide quantitative estimates of contemporary exposure levels in epidemiological studies of health effects potentially associated with Noise exposure.
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0386 Occupational Noise exposure and ambulatory blood pressure: the exposure response relation with acute and lagged exposure
Occupational and Environmental Medicine, 2017Co-Authors: Zara Ann Stokholm, Ase Marie Hansen, Jens Peter Bonde, Kent L Christensen, Thomas Winther Frederiksen, Soren Peter Lund, Jesper Medom Vestergaard, Jesper Kristiansen, Henrik A KolstadAbstract:Background Long-term environmental Noise exposure has repeatedly been related to increased risk of cardiovascular disease at exposure levels as low as 35 dB(A). Occupational exposure levels are orders of magnitude higher than the environmental levels. We examined if blood pressure was increased during and subsequent to Occupational Noise exposure. Methods We studied 483 industrial, finance, and service workers selected as a random sample from 10 industrial trades and financial services between 2009 and 2010. For 24 hours, we recorded Noise exposure levels every 5 s by personal dosimeters and measured ambulatory blood pressure and heart rate every 20–30 min. In mixed linear regression models, we assessed the acute and lagged effects of ambient Noise exposure (LAEq)) on blood pressure and heart rate for work, leisure and night hours. For 319 workers, we estimated these effects for Noise exposure at the ear accounting for hearing protection use. Results Full-shift Occupational Noise exposure levels ranged between 59–97 dB(A). Results of the regression models adjusted for sex, age, income, BMI, alcohol, tobacco, salt intake, and family history of hypertension suggest no relation between acute or lagged Occupational Noise exposure level and blood pressure levels for the industrial workers. Conclusion Occupational Noise exposure showed no acute or lagged effects on blood pressure in industrial workers.
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Occupational Noise exposure psychosocial working conditions and the risk of tinnitus
International Archives of Occupational and Environmental Health, 2017Co-Authors: Thomas Winther Frederiksen, Zara Ann Stokholm, Ase Marie Hansen, Matias Brodsgaard Grynderup, Jens Peter Bonde, Soren Peter Lund, Jesper Medom Vestergaard, Cecilia Host Ramlauhansen, Jesper Kristiansen, Henrik A KolstadAbstract:Purpose The purpose of this study was to evaluate the influence of Occupational Noise (current and cumulative doses) and psychosocial work factors (psychological demands and decision latitude) on tinnitus occurrence among workers, using objective and non-self-reported exposure measures to prevent reporting bias.
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O38-6 A general population job exposure matrix for Occupational Noise
Occupational and Environmental Medicine, 2016Co-Authors: Zara Ann Stokholm, Jens Peter Bonde, Jesper Medom Vestergaard, Ioannis Basinas, Jens Brandt, Mogens Erlansen, Vivi Schünssen, Henrik A KolstadAbstract:Aims The aim of this ongoing study is to create a quantitative job exposure matrix (JEM) for Occupational Noise exposure assessment of the general working population combining personal Noise exposure measurements with expert ratings. Methods Between 2001and 2010 we recruited 1140 workers from manufacturing industries with high reporting of Noise induced hearing loss: manufacturers of food, wood products, non-metallic mineral products, basic metals, fabricated metal, machinery, motor vehicles, furniture, publishing and printing, and construction together with workers of financial services and children day care for optimising the exposure contrast. All wore a personal dosimeter during the full shift and 1357 Noise exposure measurements were obtained. We examined variance components and contrasts by linear mixed effect models for different grouping strategies of occupation and industry. An extended model is under elaboration that includes all 373 occupations on a 4-digit level of the Danish version of the International Standard Classification of Occupations (ISCO-88). Worker-id is included as a random effect together with calendar year of measurement, sampling duration (minutes), and expert ratings of average full-shift Noise exposure levels for each Occupational title as fixed effects. Expert ratings (non-exposed, exposed and high exposed) will be obtained independently from 5 specialists in Occupational hygiene and medicine. Results Grouping by occupation provided higher contrast (0.83) than grouping by industry (0.63), and therefore occupation was chosen for the development of the JEM. Preliminary results show a 10 year decline in Occupational Noise exposure between 2001–2010 for blue-collar industrial workers. Occupational Noise exposure in financial services and children day care remained unchanged. Discussion The resulting model will enable us to assess occupation and calendar year specific exposure levels of Occupational Noise in community-based epidemiological studies.
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recent and long term Occupational Noise exposure and salivary cortisol level
Psychoneuroendocrinology, 2014Co-Authors: Zara Ann Stokholm, Ase Marie Hansen, Matias Brodsgaard Grynderup, Jens Peter Bonde, Kent L Christensen, Thomas Winther Frederiksen, Soren Peter Lund, Jesper Medom Vestergaard, Henrik A KolstadAbstract:Summary Environmental and Occupational Noise exposure have been related to increased risk of cardiovascular disease, hypothetically mediated by stress-activation of the hypothalamic–pituitary–adrenal (HPA) axis. The objective of this study was to investigate the relation between recent and long-term Occupational Noise exposure and cortisol level measured off work to assess a possible sustained HPA-axis effect. We included 501 industrial, finance, and service workers who were followed for 24 h during work, leisure, and sleep. Ambient Occupational Noise exposure levels were recorded every 5 s by personal dosimeters and we calculated the full-shift L AEq value and estimated duration and cumulative exposure based on their work histories since 1980. For 332 workers who kept a log-book on the use of hearing protection devices (HPD), we subtracted 10 dB from every Noise recording obtained during HPD use and estimated the Noise level at the ear. Salivary cortisol concentration was measured at 20.00 h, the following day at awakening, and 30 min after awakening on average 5, 14 and 14.5 h after finishing work. The mean ambient Noise exposure level was 79.9 dB(A) [range: 55.0–98.9] and the mean estimated level at the ear 77.7 dB(A) [range: 55.0–94.2]. In linear and mixed regression models that adjusted for age, sex, current smoking, heavy alcohol consumption, personal income, BMI, leisure-time Noise exposure level, time since Occupational Noise exposure ceased, awakening time, and time of saliva sampling, we observed no statistically significant exposure response relation between recent, or long-term ambient Occupational Noise exposure level and any cortisol parameter off work. This was neither the case for recent Noise level at the ear. To conclude, neither recent nor long-term Occupational Noise exposure levels were associated with increased cortisol level off work. Thus, our results do not indicate that a sustained activation of the HPA axis, as measured by cortisol, is involved in the causal pathway between Occupational Noise exposure and cardiovascular disease.
Zara Ann Stokholm - One of the best experts on this subject based on the ideXlab platform.
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A Quantitative General Population Job Exposure Matrix for Occupational Noise Exposure.
Annals of Work Exposures and Health, 2020Co-Authors: Zara Ann Stokholm, Jens Peter Bonde, Jesper Medom Vestergaard, Mogens Erlandsen, Vivi Schlünssen, Ioannis Basinas, Susan Peters, Jens Brandt, Henrik A KolstadAbstract:: Occupational Noise exposure is a known risk factor for hearing loss and also adverse cardiovascular effects have been suggested. A job exposure matrix (JEM) would enable studies of Noise and health on a large scale. The objective of this study was to create a quantitative JEM for Occupational Noise exposure assessment of the general working population. Between 2001-2003 and 2009-2010, we recruited workers from companies within the 10 industries with the highest reporting of Noise-induced hearing loss according to the Danish Working Environment Authority and in addition workers of financial services and children day care to optimize the range in exposure levels. We obtained 1343 personal Occupational Noise dosimeter measurements among 1140 workers representing 100 different jobs according to the Danish version of the International Standard Classification of Occupations 1988 (DISCO 88). Four experts used 35 of these jobs as benchmarks and rated Noise levels for the remaining 337 jobs within DISCO 88. To estimate Noise levels for all 372 jobs, we included expert ratings together with sex, age, Occupational class, and calendar year as fixed effects, while job and worker were included as random effects in a linear mixed regression model. The fixed effects explained 40% of the total variance: 72% of the between-jobs variance, -6% of the between-workers variance and 4% of the within-worker variance. Modelled Noise levels showed a monotonic increase with increasing expert score and a 20 dB difference between the highest and lowest exposed jobs. Based on the JEM estimates, metal wheel-grinders were among the highest and finance and sales professionals among the lowest exposed. This JEM of Occupational Noise exposure can be used to prioritize preventive efforts of Occupational Noise exposure and to provide quantitative estimates of contemporary exposure levels in epidemiological studies of health effects potentially associated with Noise exposure.
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0386 Occupational Noise exposure and ambulatory blood pressure: the exposure response relation with acute and lagged exposure
Occupational and Environmental Medicine, 2017Co-Authors: Zara Ann Stokholm, Ase Marie Hansen, Jens Peter Bonde, Kent L Christensen, Thomas Winther Frederiksen, Soren Peter Lund, Jesper Medom Vestergaard, Jesper Kristiansen, Henrik A KolstadAbstract:Background Long-term environmental Noise exposure has repeatedly been related to increased risk of cardiovascular disease at exposure levels as low as 35 dB(A). Occupational exposure levels are orders of magnitude higher than the environmental levels. We examined if blood pressure was increased during and subsequent to Occupational Noise exposure. Methods We studied 483 industrial, finance, and service workers selected as a random sample from 10 industrial trades and financial services between 2009 and 2010. For 24 hours, we recorded Noise exposure levels every 5 s by personal dosimeters and measured ambulatory blood pressure and heart rate every 20–30 min. In mixed linear regression models, we assessed the acute and lagged effects of ambient Noise exposure (LAEq)) on blood pressure and heart rate for work, leisure and night hours. For 319 workers, we estimated these effects for Noise exposure at the ear accounting for hearing protection use. Results Full-shift Occupational Noise exposure levels ranged between 59–97 dB(A). Results of the regression models adjusted for sex, age, income, BMI, alcohol, tobacco, salt intake, and family history of hypertension suggest no relation between acute or lagged Occupational Noise exposure level and blood pressure levels for the industrial workers. Conclusion Occupational Noise exposure showed no acute or lagged effects on blood pressure in industrial workers.
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Occupational Noise exposure psychosocial working conditions and the risk of tinnitus
International Archives of Occupational and Environmental Health, 2017Co-Authors: Thomas Winther Frederiksen, Zara Ann Stokholm, Ase Marie Hansen, Matias Brodsgaard Grynderup, Jens Peter Bonde, Soren Peter Lund, Jesper Medom Vestergaard, Cecilia Host Ramlauhansen, Jesper Kristiansen, Henrik A KolstadAbstract:Purpose The purpose of this study was to evaluate the influence of Occupational Noise (current and cumulative doses) and psychosocial work factors (psychological demands and decision latitude) on tinnitus occurrence among workers, using objective and non-self-reported exposure measures to prevent reporting bias.
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O38-6 A general population job exposure matrix for Occupational Noise
Occupational and Environmental Medicine, 2016Co-Authors: Zara Ann Stokholm, Jens Peter Bonde, Jesper Medom Vestergaard, Ioannis Basinas, Jens Brandt, Mogens Erlansen, Vivi Schünssen, Henrik A KolstadAbstract:Aims The aim of this ongoing study is to create a quantitative job exposure matrix (JEM) for Occupational Noise exposure assessment of the general working population combining personal Noise exposure measurements with expert ratings. Methods Between 2001and 2010 we recruited 1140 workers from manufacturing industries with high reporting of Noise induced hearing loss: manufacturers of food, wood products, non-metallic mineral products, basic metals, fabricated metal, machinery, motor vehicles, furniture, publishing and printing, and construction together with workers of financial services and children day care for optimising the exposure contrast. All wore a personal dosimeter during the full shift and 1357 Noise exposure measurements were obtained. We examined variance components and contrasts by linear mixed effect models for different grouping strategies of occupation and industry. An extended model is under elaboration that includes all 373 occupations on a 4-digit level of the Danish version of the International Standard Classification of Occupations (ISCO-88). Worker-id is included as a random effect together with calendar year of measurement, sampling duration (minutes), and expert ratings of average full-shift Noise exposure levels for each Occupational title as fixed effects. Expert ratings (non-exposed, exposed and high exposed) will be obtained independently from 5 specialists in Occupational hygiene and medicine. Results Grouping by occupation provided higher contrast (0.83) than grouping by industry (0.63), and therefore occupation was chosen for the development of the JEM. Preliminary results show a 10 year decline in Occupational Noise exposure between 2001–2010 for blue-collar industrial workers. Occupational Noise exposure in financial services and children day care remained unchanged. Discussion The resulting model will enable us to assess occupation and calendar year specific exposure levels of Occupational Noise in community-based epidemiological studies.
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recent and long term Occupational Noise exposure and salivary cortisol level
Psychoneuroendocrinology, 2014Co-Authors: Zara Ann Stokholm, Ase Marie Hansen, Matias Brodsgaard Grynderup, Jens Peter Bonde, Kent L Christensen, Thomas Winther Frederiksen, Soren Peter Lund, Jesper Medom Vestergaard, Henrik A KolstadAbstract:Summary Environmental and Occupational Noise exposure have been related to increased risk of cardiovascular disease, hypothetically mediated by stress-activation of the hypothalamic–pituitary–adrenal (HPA) axis. The objective of this study was to investigate the relation between recent and long-term Occupational Noise exposure and cortisol level measured off work to assess a possible sustained HPA-axis effect. We included 501 industrial, finance, and service workers who were followed for 24 h during work, leisure, and sleep. Ambient Occupational Noise exposure levels were recorded every 5 s by personal dosimeters and we calculated the full-shift L AEq value and estimated duration and cumulative exposure based on their work histories since 1980. For 332 workers who kept a log-book on the use of hearing protection devices (HPD), we subtracted 10 dB from every Noise recording obtained during HPD use and estimated the Noise level at the ear. Salivary cortisol concentration was measured at 20.00 h, the following day at awakening, and 30 min after awakening on average 5, 14 and 14.5 h after finishing work. The mean ambient Noise exposure level was 79.9 dB(A) [range: 55.0–98.9] and the mean estimated level at the ear 77.7 dB(A) [range: 55.0–94.2]. In linear and mixed regression models that adjusted for age, sex, current smoking, heavy alcohol consumption, personal income, BMI, leisure-time Noise exposure level, time since Occupational Noise exposure ceased, awakening time, and time of saliva sampling, we observed no statistically significant exposure response relation between recent, or long-term ambient Occupational Noise exposure level and any cortisol parameter off work. This was neither the case for recent Noise level at the ear. To conclude, neither recent nor long-term Occupational Noise exposure levels were associated with increased cortisol level off work. Thus, our results do not indicate that a sustained activation of the HPA axis, as measured by cortisol, is involved in the causal pathway between Occupational Noise exposure and cardiovascular disease.
Per Gustavsson - One of the best experts on this subject based on the ideXlab platform.
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full time exposure to Occupational Noise during pregnancy was associated with reduced birth weight in a nationwide cohort study of swedish women
Science of The Total Environment, 2019Co-Authors: Jenny Selander, Marie Lewné, Per Gustavsson, Maria Albin, Lars Rylander, Ulf RosenhallAbstract:Noise is a common exposure in the Occupational work environment. Earlier studies of Occupational Noise and pregnancy outcome are few and show mixed results. To investigate if objectively assessed exposure to Occupational Noise during pregnancy is associated with reduced intrauterine growth and/or preterm birth a nationwide cohort study of 857,010 single births was initiated. Individual information on occupation and risk factors was retrieved from prenatal care interviews at pregnancy week 10. Occupational Noise was classified into three exposure categories 85 dBA by a job exposure matrix. Odds ratios were adjusted for BMI, smoking, parity, education, physically strenuous work and low job control. Exposure to high (>85 dBA) levels of Occupational Noise throughout the pregnancy (full time workers) was associated with an increased risk of the child being born small for gestational age, OR 1.44 (95% CI 1.01 to 2.03) compared to Noise exposure 21 days (median). In summary, full-time exposure to high levels of Noise during pregnancy was associated with a slightly reduced fetal growth but not with preterm birth. The effect of intermediate Occupational Noise exposure (75–85 dBA) showed a small, but statistically increased risk for all studied birth outcomes. The study strengthens the evidence that pregnant women should not be long-term exposed to high levels >85 dBA of Occupational Noise during pregnancy. Intermediate exposure should be studied further. (Less)
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O30-4 Occupational Noise exposure during pregnancy and preeclampsia
Occupational and Environmental Medicine, 2016Co-Authors: Jenny Selander, Marie Lewné, Maria Albin, Lars Rylander, Ulf Rosenhall, Per GustavssonAbstract:Background Women of childbearing age are in many parts of the world Occupationally active. This leads to a large number of pregnancies potentially exposed to Occupational exposures. Occupational and residential Noise has been identified as a risk factor for cardiovascular disease in adults. However, very few studies have addressed the association between Noise during pregnancy and pregnancy related outcomes such as preeclampsia. Aim The aim of this study was to investigate if Occupational exposure to Noise during pregnancy is associated with an increased risk of preeclampsia. Method This population based cohort study included 667,642 single births in Sweden 1997–2008. Data on mothers’ occupation, smoking habits, age, ethnicity, BMI, leave of absence and socio-economic factors were obtained from the medical birth register, holding data on interviews performed at prenatal care units at 10 weeks of gestation, and from national registers. Occupational Noise exposure was classified by a job-exposure-matrix as Results Preliminary results restricted to full-time working mothers with less than 20 days (median) leave of absence showed an association between maternal Occupational Noise exposure and preeclampsia, 75–84 dBA adjusted OR 1.08 (95% CI: 1.01, 1.15) and ≥85 dBA adjusted OR 1.45 (95% CI: 1.03, 2.04) vs Conclusions These results indicate that Occupational Noise exposure might be a novel risk factor for preeclampsia. However, the relation to other Occupational exposures needs to be evaluated.
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a job exposure matrix for Occupational Noise development and validation
Annals of Occupational Hygiene, 2013Co-Authors: Mattias Sjöström, Marie Lewné, Magnus Alderling, Pernilla Willix, Peter Berg, Per Gustavsson, Magnus SvartengrenAbstract:OBJECTIVE: To develop a job-exposure matrix (JEM) for Occupational Noise in Sweden and to estimate its validity. METHODS: The JEM, developed by a group of experienced Occupational hygienists, contains 321 job families with information regarding Occupational Noise from 1970 to 2004. The Occupational Noise information derives from measurements collected from different sources. The time period label has a 5-year scale starting in 1970. The estimated average 8h (TWA) Noise level in decibel [dB(A)] for every 5-year period was coded either as <75 dB(A), 75-84 dB(A), or ≥85 dB(A) and the risk of peak level exposure assessed. The validity of the JEM is tested, using Svensson's non-parametric methods based on classification consensus, reached by a second group of Occupational hygienists. RESULTS/DISCUSSION: Validation results show ~ 80% agreement and no systematic differences, in classification, between the two different groups of Occupational hygienists, classifying the Occupational Noise exposure. However, classification of peak level exposure did show a systematic difference in relative position. The results will give more power to the JEM that it gives a good general estimate for the Occupational Noise levels in Sweden for different job families during 1970-2004. We, thus, intend to use it in further studies and also make it available to collaborators.
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A job-exposure matrix for Occupational Noise: development and validation.
Annals of Occupational Hygiene, 2013Co-Authors: Mattias Sjöström, Marie Lewné, Magnus Alderling, Pernilla Willix, Peter Berg, Per Gustavsson, Magnus SvartengrenAbstract:OBJECTIVE: To develop a job-exposure matrix (JEM) for Occupational Noise in Sweden and to estimate its validity. METHODS: The JEM, developed by a group of experienced Occupational hygienists, contains 321 job families with information regarding Occupational Noise from 1970 to 2004. The Occupational Noise information derives from measurements collected from different sources. The time period label has a 5-year scale starting in 1970. The estimated average 8h (TWA) Noise level in decibel [dB(A)] for every 5-year period was coded either as
Jens Peter Bonde - One of the best experts on this subject based on the ideXlab platform.
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A Quantitative General Population Job Exposure Matrix for Occupational Noise Exposure.
Annals of Work Exposures and Health, 2020Co-Authors: Zara Ann Stokholm, Jens Peter Bonde, Jesper Medom Vestergaard, Mogens Erlandsen, Vivi Schlünssen, Ioannis Basinas, Susan Peters, Jens Brandt, Henrik A KolstadAbstract:: Occupational Noise exposure is a known risk factor for hearing loss and also adverse cardiovascular effects have been suggested. A job exposure matrix (JEM) would enable studies of Noise and health on a large scale. The objective of this study was to create a quantitative JEM for Occupational Noise exposure assessment of the general working population. Between 2001-2003 and 2009-2010, we recruited workers from companies within the 10 industries with the highest reporting of Noise-induced hearing loss according to the Danish Working Environment Authority and in addition workers of financial services and children day care to optimize the range in exposure levels. We obtained 1343 personal Occupational Noise dosimeter measurements among 1140 workers representing 100 different jobs according to the Danish version of the International Standard Classification of Occupations 1988 (DISCO 88). Four experts used 35 of these jobs as benchmarks and rated Noise levels for the remaining 337 jobs within DISCO 88. To estimate Noise levels for all 372 jobs, we included expert ratings together with sex, age, Occupational class, and calendar year as fixed effects, while job and worker were included as random effects in a linear mixed regression model. The fixed effects explained 40% of the total variance: 72% of the between-jobs variance, -6% of the between-workers variance and 4% of the within-worker variance. Modelled Noise levels showed a monotonic increase with increasing expert score and a 20 dB difference between the highest and lowest exposed jobs. Based on the JEM estimates, metal wheel-grinders were among the highest and finance and sales professionals among the lowest exposed. This JEM of Occupational Noise exposure can be used to prioritize preventive efforts of Occupational Noise exposure and to provide quantitative estimates of contemporary exposure levels in epidemiological studies of health effects potentially associated with Noise exposure.
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0386 Occupational Noise exposure and ambulatory blood pressure: the exposure response relation with acute and lagged exposure
Occupational and Environmental Medicine, 2017Co-Authors: Zara Ann Stokholm, Ase Marie Hansen, Jens Peter Bonde, Kent L Christensen, Thomas Winther Frederiksen, Soren Peter Lund, Jesper Medom Vestergaard, Jesper Kristiansen, Henrik A KolstadAbstract:Background Long-term environmental Noise exposure has repeatedly been related to increased risk of cardiovascular disease at exposure levels as low as 35 dB(A). Occupational exposure levels are orders of magnitude higher than the environmental levels. We examined if blood pressure was increased during and subsequent to Occupational Noise exposure. Methods We studied 483 industrial, finance, and service workers selected as a random sample from 10 industrial trades and financial services between 2009 and 2010. For 24 hours, we recorded Noise exposure levels every 5 s by personal dosimeters and measured ambulatory blood pressure and heart rate every 20–30 min. In mixed linear regression models, we assessed the acute and lagged effects of ambient Noise exposure (LAEq)) on blood pressure and heart rate for work, leisure and night hours. For 319 workers, we estimated these effects for Noise exposure at the ear accounting for hearing protection use. Results Full-shift Occupational Noise exposure levels ranged between 59–97 dB(A). Results of the regression models adjusted for sex, age, income, BMI, alcohol, tobacco, salt intake, and family history of hypertension suggest no relation between acute or lagged Occupational Noise exposure level and blood pressure levels for the industrial workers. Conclusion Occupational Noise exposure showed no acute or lagged effects on blood pressure in industrial workers.
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Occupational Noise exposure psychosocial working conditions and the risk of tinnitus
International Archives of Occupational and Environmental Health, 2017Co-Authors: Thomas Winther Frederiksen, Zara Ann Stokholm, Ase Marie Hansen, Matias Brodsgaard Grynderup, Jens Peter Bonde, Soren Peter Lund, Jesper Medom Vestergaard, Cecilia Host Ramlauhansen, Jesper Kristiansen, Henrik A KolstadAbstract:Purpose The purpose of this study was to evaluate the influence of Occupational Noise (current and cumulative doses) and psychosocial work factors (psychological demands and decision latitude) on tinnitus occurrence among workers, using objective and non-self-reported exposure measures to prevent reporting bias.
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O38-6 A general population job exposure matrix for Occupational Noise
Occupational and Environmental Medicine, 2016Co-Authors: Zara Ann Stokholm, Jens Peter Bonde, Jesper Medom Vestergaard, Ioannis Basinas, Jens Brandt, Mogens Erlansen, Vivi Schünssen, Henrik A KolstadAbstract:Aims The aim of this ongoing study is to create a quantitative job exposure matrix (JEM) for Occupational Noise exposure assessment of the general working population combining personal Noise exposure measurements with expert ratings. Methods Between 2001and 2010 we recruited 1140 workers from manufacturing industries with high reporting of Noise induced hearing loss: manufacturers of food, wood products, non-metallic mineral products, basic metals, fabricated metal, machinery, motor vehicles, furniture, publishing and printing, and construction together with workers of financial services and children day care for optimising the exposure contrast. All wore a personal dosimeter during the full shift and 1357 Noise exposure measurements were obtained. We examined variance components and contrasts by linear mixed effect models for different grouping strategies of occupation and industry. An extended model is under elaboration that includes all 373 occupations on a 4-digit level of the Danish version of the International Standard Classification of Occupations (ISCO-88). Worker-id is included as a random effect together with calendar year of measurement, sampling duration (minutes), and expert ratings of average full-shift Noise exposure levels for each Occupational title as fixed effects. Expert ratings (non-exposed, exposed and high exposed) will be obtained independently from 5 specialists in Occupational hygiene and medicine. Results Grouping by occupation provided higher contrast (0.83) than grouping by industry (0.63), and therefore occupation was chosen for the development of the JEM. Preliminary results show a 10 year decline in Occupational Noise exposure between 2001–2010 for blue-collar industrial workers. Occupational Noise exposure in financial services and children day care remained unchanged. Discussion The resulting model will enable us to assess occupation and calendar year specific exposure levels of Occupational Noise in community-based epidemiological studies.
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recent and long term Occupational Noise exposure and salivary cortisol level
Psychoneuroendocrinology, 2014Co-Authors: Zara Ann Stokholm, Ase Marie Hansen, Matias Brodsgaard Grynderup, Jens Peter Bonde, Kent L Christensen, Thomas Winther Frederiksen, Soren Peter Lund, Jesper Medom Vestergaard, Henrik A KolstadAbstract:Summary Environmental and Occupational Noise exposure have been related to increased risk of cardiovascular disease, hypothetically mediated by stress-activation of the hypothalamic–pituitary–adrenal (HPA) axis. The objective of this study was to investigate the relation between recent and long-term Occupational Noise exposure and cortisol level measured off work to assess a possible sustained HPA-axis effect. We included 501 industrial, finance, and service workers who were followed for 24 h during work, leisure, and sleep. Ambient Occupational Noise exposure levels were recorded every 5 s by personal dosimeters and we calculated the full-shift L AEq value and estimated duration and cumulative exposure based on their work histories since 1980. For 332 workers who kept a log-book on the use of hearing protection devices (HPD), we subtracted 10 dB from every Noise recording obtained during HPD use and estimated the Noise level at the ear. Salivary cortisol concentration was measured at 20.00 h, the following day at awakening, and 30 min after awakening on average 5, 14 and 14.5 h after finishing work. The mean ambient Noise exposure level was 79.9 dB(A) [range: 55.0–98.9] and the mean estimated level at the ear 77.7 dB(A) [range: 55.0–94.2]. In linear and mixed regression models that adjusted for age, sex, current smoking, heavy alcohol consumption, personal income, BMI, leisure-time Noise exposure level, time since Occupational Noise exposure ceased, awakening time, and time of saliva sampling, we observed no statistically significant exposure response relation between recent, or long-term ambient Occupational Noise exposure level and any cortisol parameter off work. This was neither the case for recent Noise level at the ear. To conclude, neither recent nor long-term Occupational Noise exposure levels were associated with increased cortisol level off work. Thus, our results do not indicate that a sustained activation of the HPA axis, as measured by cortisol, is involved in the causal pathway between Occupational Noise exposure and cardiovascular disease.
Joachim Schuz - One of the best experts on this subject based on the ideXlab platform.
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validity of self reported Occupational Noise exposure
Occupational and Environmental Medicine, 2011Co-Authors: Klaus Schlaefer, Brigitte Schlehofer, Joachim SchuzAbstract:Objectives In epidemiological studies the validity of self-reported Occupational data is an important issue as the exposure assessment based on such data is a major source of bias in the risk estimation. Methods A validation study was conducted based on a case-control study including 94 acoustic neuroma cases and 191 matched controls from the German Interphone-Study to investigate the level of agreement between self-reported Occupational Noise exposure and a job-exposure-matrix (JEM) on Noise exposure derived from a lifetime occupation calendar. The JEM was generated based on measurement data collected in German and Swiss literature for various occupations. Level of agreement was investigated by using sensitivity, specificity, κ coefficient and the Youden Index. Results As a result of a receiver operating characteristics analysis we dichotomise Noise exposure at 80 decibel(Acoustic) (dB(A)), displaying a moderate agreement between self-reported exposure and the JEM-based exposure (κ of 0.53) that was slightly higher for cases than controls (κ of 0.62 and 0.48). The agreement was best for the loudest job reported and slightly lower for the longest held job or the last held job of the lifetime job history. Conclusions The cut point of 80 dB(A) corresponds with EU-regulations for workers. The levels of agreement between self-reported high Occupational Noise exposure compared with JEM-data, together with no substantial differences between cases and controls, suggest that self-reported data on Occupational Noise exposure is a valid exposure metric. Noise exposure appears to be appropriate if only exposure information on last or longest held job is available.
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validity of self reported Occupational Noise exposure
European Journal of Epidemiology, 2009Co-Authors: Klaus Schlaefer, Brigitte Schlehofer, Joachim SchuzAbstract:In all epidemiological studies the validity of self-reported questionnaire data is an important issue as the exposure assessment based on such data is a major source of bias in the risk estimation. A validation study was conducted based on a case–control study including 94 acoustic neuroma cases and 191 matched controls from the German Interphone Study to investigate the level of agreement between self-reported Occupational Noise exposure and a job-exposure-matrix (JEM) on Noise exposure derived from a lifetime occupation calendar. The JEM was generated based on measurement data collected in the literature for various occupations. Level of agreement was investigated by using sensitivity, specificity, kappa coefficient and the Youden-Index. The receiver operating characteristics curve yielded an optimal cut point of 80 decibel(Acoustic) (dB(A)) to dichotomize Noise exposure, displaying a moderate agreement between self-reported exposure and the JEM-based exposure (kappa of 0.53) that was slightly higher for cases than controls (kappas of 0.62 and 0.48). The agreement was only slightly lower if the longest held job or the last held job were used instead of the loudest job of the lifetime job history. The cut point of 80 dB(A) corresponds with regulations for workers safety with a recommendation to wear Noise protection. The good levels of agreement between self-reported high Occupational Noise exposure compared with JEM-data, together with no substantial differences between cases and controls, suggest that self-reported data on Occupational Noise exposure is a valid exposure metric. Noise exposure appears to be appropriate if only exposure information on the last or the longest held job is available.
