Author: "Olafsdottir, Kristin" - Searchworks@Jio Institute Digital Library Search Results

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114 results on '"Olafsdottir, Kristin"'

1. Review and perspective on sleep-disordered breathing research and translation to clinics

Author: Korkalainen, Henri, Kainulainen, Samu, Islind, Anna Sigridur, Óskarsdóttir, María, Strassberger, Christian, Nikkonen, Sami, Töyräs, Juha, Kulkas, Antti, Grote, Ludger, Hedner, Jan, Sund, Reijo, Hrubos-Strom, Harald, Saavedra, Jose M., Ólafsdóttir, Kristín Anna, Ágústsson, Jón S., Terrill, Philip I., McNicholas, Walter T., Arnardóttir, Erna Sif, and Leppänen, Timo
Published: 2024
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2. POPs in long-finned pilot whales mass stranded in Iceland as a proxy for their physiological condition

Author: Xuereb, Nicholai, Ólafsdóttir, Kristín, Samarra, Filipa, Svavarsson, Jörundur, and Magnúsdóttir, Edda Elísabet
Published: 2023
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3. Three years of wastewater surveillance for new psychoactive substances from 16 countries

Author: Bade, Richard, Rousis, Nikolaos, Adhikari, Sangeet, Baduel, Christine, Bijlsma, Lubertus, Bizani, Erasmia, Boogaerts, Tim, Burgard, Daniel A., Castiglioni, Sara, Chappell, Andrew, Covaci, Adrian, Driver, Erin M., Sodre, Fernando Fabriz, Fatta-Kassinos, Despo, Galani, Aikaterini, Gerber, Cobus, Gracia-Lor, Emma, Gracia-Marín, Elisa, Halden, Rolf U., Heath, Ester, Hernandez, Felix, Jaunay, Emma, Lai, Foon Yin, Lee, Heon-Jun, Laimou-Geraniou, Maria, Oh, Jeong-Eun, Olafsdottir, Kristin, Phung, Kaitlyn, Castro, Marco Pineda, Psichoudaki, Magda, Shao, Xueting, Salgueiro-Gonzalez, Noelia, Feitosa, Rafael Silva, Gomes, Cezar Silvino, Subedi, Bikram, Löve, Arndís Sue Ching, Thomaidis, Nikolaos, Tran, Diana, van Nuijs, Alexander, Verovšek, Taja, Wang, Degao, White, Jason M., Yargeau, Viviane, Zuccato, Ettore, and Mueller, Jochen F.
Published: 2023
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4. Instrumental Meteorological Records Before 1850 : An Inventory

Author: Brönnimann, Stefan, Allan, Rob, Ashcroft, Linden, Baer, Saba, Barriendos, Mariano, Brázdil, Rudolf, Brugnara, Yuri, Brunet, Manola, Brunetti, Michele, Chimani, Barbara, Cornes, Richard, Domínguez-Castro, Fernando, Filipiak, Janusz, Founda, Dimitra, Herrera, Ricardo García, Gergis, Joelle, Grab, Stefan, Hannak, Lisa, Huhtamaa, Heli, Jacobsen, Kim S., Jones, Phil, Jourdain, Sylvie, Kiss, Andrea, Lin, Kuanhui Elaine, Lorrey, Andrew, Lundstad, Elin, Luterbacher, Jürg, Mauelshagen, Franz, Maugeri, Maurizio, Maughan, Nicolas, Moberg, Anders, Neukom, Raphael, Nicholson, Sharon, Noone, Simon, Nordli, Øyvind, Ólafsdóttir, Kristín Björg, Pearce, Petra R., Pfister, Lucas, Pribyl, Kathleen, Przybylak, Rajmund, Pudmenzky, Christa, Rasol, Dubravka, Reichenbach, Delia, Řezníčková, Ladislava, Rodrigo, Fernando S., Rohr, Christian, Skrynyk, Oleg, Slonosky, Victoria, Thorne, Peter, Valente, Maria Antónia, Vaquero, José M., Westcott, Nancy E., Williamson, Fiona, and Wyszyński, Przemysław
Published: 2020

5. UNLOCKING PRE-1850 INSTRUMENTAL METEOROLOGICAL RECORDS : A Global Inventory

Author: Brönnimann, Stefan, Allan, Rob, Ashcroft, Linden, Baer, Saba, Barriendos, Mariano, Brázdil, Rudolf, Brugnara, Yuri, Brunet, Manola, Brunetti, Michele, Chimani, Barbara, Cornes, Richard, Domínguez-Castro, Fernando, Filipiak, Janusz, Founda, Dimitra, Herrera, Ricardo García, Gergis, Joelle, Grab, Stefan, Hannak, Lisa, Huhtamaa, Heli, Jacobsen, Kim S., Jones, Phil, Jourdain, Sylvie, Kiss, Andrea, Lin, Kuanhui Elaine, Lorrey, Andrew, Lundstad, Elin, Luterbacher, Jürg, Mauelshagen, Franz, Maugeri, Maurizio, Maughan, Nicolas, Moberg, Anders, Neukom, Raphael, Nicholson, Sharon, Noone, Simon, Nordli, Øyvind, Ólafsdóttir, Kristín Björg, Pearce, Petra R., Pfister, Lucas, Pribyl, Kathleen, Przybylak, Rajmund, Pudmenzky, Christa, Rasol, Dubravka, Reichenbach, Delia, Řezníčková, Ladislava, Rodrigo, Fernando S., Rohr, Christian, Skrynyk, Oleg, Slonosky, Victoria, Thorne, Peter, Valente, Maria Antónia, Vaquero, José M., Westcottt, Nancy E., Williamson, Fiona, and Wyszyński, Przemysław
Published: 2019

6. Updated review on contaminant communication experiences in the circumpolar Arctic

Author: Krümmel, Eva M., Boyd, Amanda D., Brandow, Danielle, Brubaker, Michael, Furgal, Chris M., Gerlach, Robert, Laird, Brian D., Lemire, Mélanie, Loseto, Lisa L., Mulvad, Gert, O’Hara, Shannon P., Olafsdottir, Kristin, Provencher, Jennifer F., Ratelle, Mylène, Rautio, Arja, Skinner, Kelly, Weihe, Pál, Wennberg, Maria, Krümmel, Eva M., Boyd, Amanda D., Brandow, Danielle, Brubaker, Michael, Furgal, Chris M., Gerlach, Robert, Laird, Brian D., Lemire, Mélanie, Loseto, Lisa L., Mulvad, Gert, O’Hara, Shannon P., Olafsdottir, Kristin, Provencher, Jennifer F., Ratelle, Mylène, Rautio, Arja, Skinner, Kelly, Weihe, Pál, and Wennberg, Maria
Abstract: Arctic populations are amongst the highest exposed populations to long-range transported contaminants globally, with the main exposure pathway being through the diet. Dietary advice is an important immediate means to address potential exposure and help minimize adverse health effects. The objective of this work is to enable easier access to dietary advice and communication guidance on contaminants with a focus on the Arctic. This manuscript is part of a special issue summarizing the Arctic Monitoring and Assessment Programme’s Assessment 2021: Human Health in the Arctic. The information was derived with internet searches, and by contacting relevant experts directly. Results include risk communication efforts in European Arctic countries, effectiveness evaluation studies for several Arctic countries, experience of social media use, and the advantages and challenges of using social media in risk communication. We found that current risk communication activities in most Arctic countries emphasize the importance of a nutritious diet. Contaminant-related restrictions are mostly based on mercury; a limited amount of dietary advice is based on other contaminants. While more information on effectiveness evaluation was available, specific information, particularly from Arctic countries other than Canada, is still very limited.
Published: 2024
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7. Levels and trends of persistent organic pollutants in human populations living in the Arctic

Author: Adlard, Bryan, Bonefeld-Jørgensen, Eva C., Dudarev, Alexey A., Olafsdottir, Kristin, Abass, Khaled, Averina, Maria, Ayotte, Pierre, Berner, James, Byrne, Sam, Caron-Beaudoin, Élyse, Drysdale, Mallory, Dumas, Pierre, Garcia-Barrios, Joshua, Gyllenhammar, Irina, Laird, Brian, Lemire, Melanie, Aker, Amira, Lignell, Sanna, Long, Manhai, Norström, Karin, Packull-McCormick, Sara, Petersen, Maria Skaalum, Ratelle, Mylene, Rautio, Arja, Timmerman, Amalie, Toft, Gunnar, Weihe, Pal, Nøst, Therese Haugdahl, Wennberg, Maria, Adlard, Bryan, Bonefeld-Jørgensen, Eva C., Dudarev, Alexey A., Olafsdottir, Kristin, Abass, Khaled, Averina, Maria, Ayotte, Pierre, Berner, James, Byrne, Sam, Caron-Beaudoin, Élyse, Drysdale, Mallory, Dumas, Pierre, Garcia-Barrios, Joshua, Gyllenhammar, Irina, Laird, Brian, Lemire, Melanie, Aker, Amira, Lignell, Sanna, Long, Manhai, Norström, Karin, Packull-McCormick, Sara, Petersen, Maria Skaalum, Ratelle, Mylene, Rautio, Arja, Timmerman, Amalie, Toft, Gunnar, Weihe, Pal, Nøst, Therese Haugdahl, and Wennberg, Maria
Abstract: The Arctic Monitoring Assessment Program (AMAP) is tasked with monitoring and assessing the status of environmental contaminants in the Arctic, documenting levels and trends, and producing science-based assessments. The objectives of this paper are to present the current levels of persistent organic pollutants (POPs) across the Arctic, and to identify trends and knowledge gaps as detailed in the most recent AMAP Human Health Assessment Report. Many Arctic populations continue to have elevated levels of these contaminants, and the highest levels of POPs were observed in populations from Greenland, Faroe Islands, and Nunavik (Canada), as well as populations in the coastal Chukotka district (Russia) for legacy POPs only. Concentrations of most POPs are declining in Arctic populations in regions where time trends data exist, although the declines are not consistent across all regions. The exceptions are per- and polyfluoroalkyl substances, with concentrations of some long-chain PFAS such as perfluorononanoic acid increasing in populations in Nunavik, Greenland and Sweden. This paper provides a more extensive summary of levels of contaminants in adults, pregnant women, and children across the Arctic than previous AMAP human health assessments, particularly for levels of long-chain PFAS, which are currently under consideration for inclusion in the Stockholm Convention.
Published: 2024
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8. Levels and trends of metals in human populations living in the Arctic

Author: Adlard, Bryan, Bonefeld-Jørgensen, Eva C., Dudarev, Alexey A., Olafsdottir, Kristin, Abass, Khaled, Ayotte, Pierre, Caron-Beaudoin, Élyse, Drysdale, Mallory, Garcia-Barrios, Joshua, Gyllenhammar, Irina, Laird, Brian, Lemire, Melanie, Lignell, Sanna, Long, Manhai, Norström, Karin, Packull-McCormick, Sara, Petersen, Maria Skaalum, Ratelle, Mylene, Rautio, Arja, Timmerman, Amalie, Weihe, Pal, Wennberg, Maria, Adlard, Bryan, Bonefeld-Jørgensen, Eva C., Dudarev, Alexey A., Olafsdottir, Kristin, Abass, Khaled, Ayotte, Pierre, Caron-Beaudoin, Élyse, Drysdale, Mallory, Garcia-Barrios, Joshua, Gyllenhammar, Irina, Laird, Brian, Lemire, Melanie, Lignell, Sanna, Long, Manhai, Norström, Karin, Packull-McCormick, Sara, Petersen, Maria Skaalum, Ratelle, Mylene, Rautio, Arja, Timmerman, Amalie, Weihe, Pal, and Wennberg, Maria
Abstract: The 2021 Arctic Monitoring Assessment Program (AMAP)’s Human Health Assessment report presents a summary of the presence of contaminants in human populations across the circumpolar Arctic and provides an update to the previous assessment released in 2015. The primary objective of this paper is to summarise some of these findings by describing the current levels of metals across the Arctic, including key regional and temporal trends based on available national data and literature, and highlight knowledge gaps. Many Arctic populations continue to have elevated levels of these contaminants, and the highest levels of mercury (Hg) were observed in populations from Greenland, Faroe Islands, and Nunavik (Canada). Still, concentrations of several metals are declining in Arctic populations in regions where time trends data exist, although the declines are not consistent across all regions. The 2021 AMAP human health assessment report and this paper provide an extensive summary of levels of metals and trace elements in adults, pregnant women, and children across the Arctic., This article is based on Chapter 3 "Human biomonitoring and exposure" of the AMAP Assessment 2021: Human Health in the Arctic, which was completed prior to February 2022.
Published: 2024
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9. Enantiomeric profile of amphetamines in seized drug samples and in blood of impaired drivers in Iceland: The rise of (R)-methamphetamine?

Author: Bauer, Adam E, Jakobsdottir, Margret R, and Olafsdottir, Kristin
Subjects: METHAMPHETAMINE, DRUGGED driving, AMPHETAMINES, BLOOD sampling, ATTENTION-deficit hyperactivity disorder, FORENSIC toxicology
Abstract: Amphetamine (AMP) and methamphetamine (METH) use is increasing globally. Illegal AMP is generally a racemic mixture, whereas AMP-containing attention-deficit hyperactivity disorder drugs prescribed in Iceland consist of S-AMP. AMP is also a main metabolite of interest after METH intake. Distinguishing between legal and illegal AMP intake is vital in forensic toxicology. A chiral UPLC–MS-MS method was used to determine the enantiomeric profile of AMP and METH in circulation in Iceland by analysing blood samples from drivers suspected of driving under the influence of drugs (DUID) and seized drug samples from 2021 and 2022. All seized AMP samples (n = 48) were racemic, whereas all but one seized METH sample (n = 26) were enantiopure. Surprisingly, a large portion of the enantiopure METH samples was R-METH. DUID blood samples positive for AMP (n = 564) had a median blood concentration of 180 ng/mL (range 20–2770 ng/mL) and a median enantiomeric fraction (EFR) of 0.54 (range 0–0.73), whereas samples positive for METH (n = 236) had a median blood concentration of 185 ng/mL (range 20–2300 ng/mL) and a median EFR of 0.23 (range 0–1). The findings of this study show a significantly lower blood concentration in drivers with only S-AMP detected compared with when the R-isomer is also detected. No significant difference in blood concentration was detected between the sample groups containing S-METH, R-METH or both enantiomers. The occurrence of R-METH in both seized drug samples and DUID cases indicates a change in drug supply and a need for better scientific knowledge on R-METH abuse. [ABSTRACT FROM AUTHOR]
Published: 2024
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10. Self‐applied somnography: technical feasibility of electroencephalography and electro‐oculography signal characteristics in sleep staging of suspected sleep‐disordered adults.

Author: Rusanen, Matias, Korkalainen, Henri, Gretarsdottir, Heidur, Siilak, Tiina, Olafsdottir, Kristin Anna, Töyräs, Juha, Myllymaa, Sami, Arnardottir, Erna Sif, Leppänen, Timo, and Kainulainen, Samu
Subjects: SLEEP stages, ELECTROENCEPHALOGRAPHY, POLYSOMNOGRAPHY, ADULTS, ELECTRODES
Abstract: Summary: Sleep recordings are increasingly being conducted in patients' homes where patients apply the sensors themselves according to instructions. However, certain sensor types such as cup electrodes used in conventional polysomnography are unfeasible for self‐application. To overcome this, self‐applied forehead montages with electroencephalography and electro‐oculography sensors have been developed. We evaluated the technical feasibility of a self‐applied electrode set from Nox Medical (Reykjavik, Iceland) through home sleep recordings of healthy and suspected sleep‐disordered adults (n = 174) in the context of sleep staging. Subjects slept with a double setup of conventional type II polysomnography sensors and self‐applied forehead sensors. We found that the self‐applied electroencephalography and electro‐oculography electrodes had acceptable impedance levels but were more prone to losing proper skin–electrode contact than the conventional cup electrodes. Moreover, the forehead electroencephalography signals recorded using the self‐applied electrodes expressed lower amplitudes (difference 25.3%–43.9%, p < 0.001) and less absolute power (at 1–40 Hz, p < 0.001) than the polysomnography electroencephalography signals in all sleep stages. However, the signals recorded with the self‐applied electroencephalography electrodes expressed more relative power (p < 0.001) at very low frequencies (0.3–1.0 Hz) in all sleep stages. The electro‐oculography signals recorded with the self‐applied electrodes expressed comparable characteristics with standard electro‐oculography. In conclusion, the results support the technical feasibility of the self‐applied electroencephalography and electro‐oculography for sleep staging in home sleep recordings, after adjustment for amplitude differences, especially for scoring Stage N3 sleep. [ABSTRACT FROM AUTHOR]
Published: 2024
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11. A high-throughput solid-phase microextraction and post-loop mixing large volume injection method for water samples

Author: Baz-Lomba, J.A., Löve, Arndís Sue-Ching, Reid, Malcolm J., Ólafsdóttir, Kristín, and Thomas, Kevin V.
Published: 2018
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12. Institutional Debt: An Analysis of Student Institutional Debt at a Midwestern Multi-Campus University between 2011 and 2014

Author: Olafsdottir, Kristin
Abstract: For the institution and its regional campuses under review, the amount of outstanding student liabilities (i.e., monies owed by the student to the institution for educational-related expenditures not satisfied by the end of the term) grew at an alarming rate between 2000 and 2014, with some of the institution's regional campuses experiencing over a 400% increase in student liabilities between 2011 and 2014. This increase in student liabilities mirrors the trends in the rise of federal student loan borrowing and federal student loan default. The purpose of this study is to explore the relationship between various student characteristics and student liabilities owed directly to the institution at a multi-campus public university in the Midwest between the years 2011 and 2014. The period under review was selected due to its high increases in student liabilities. This study will further explore how these relationships differ between the university's multiple regional campuses and main campus. The students in the current study are students that have an outstanding liability to the organization of $100 or more, have been turned over to an outside collection agency for collections, and have had their student account balance written-off. The characteristics explored in the current study are many of the same characteristics shown in the current literature to be associated with federal student loan default rates. The characteristics are first generation vs. not a first generation student (i.e., FG vs. NFG), predominant campus location (i.e., main vs. regional campus), class status (i.e., freshmen, sophomore, junior, or senior), sex, underrepresented minorities vs. not an underrepresented minority (i.e., URM vs. NURM), federal Pell grant vs. not a federal Pell grant recipients (i.e., FP vs. NFP), federal student loans vs. not a federal student loan recipients (i.e., FL vs. NFL), private student loan vs. not a private loan recipients, and GPA. To explore the relationship between the variables and student liabilities, the following questions were addressed: (1) What are the FG/NFG, campus location, class status, sex, URM, grant status, and loan characteristics of students with outstanding liabilities at Midwestern University (MU)? (2) How does FG/NFG, campus location, class status, sex, URM, grant status, and loan characteristics of students with outstanding liabilities at MU, differ between students at the main campus vs. the regional campus? (3) What is the relationship between FG/NFG, class status, sex, URM, grant status, and loan characteristics of students with outstanding liabilities at MU? (4) How does the relationship between FG/NFG, class status, sex, URM, grant status, and loan status characteristics of students with outstanding liabilities at MU differ between the regional and main campus? The study was conducted in two stages. First, using SPSS basic descriptive statistics were presented to address questions one and two. Second, multiple regression was employed to investigate the relationship between the variables addressed in questions three and four. However, due to the violation of the assumption of normality needed for multiple regression, a second set of statistical analysis, the Chi-square test (x[superscript 2]), was deployed to further address questions three and four. Violations of normality can lead to over- or under-confident estimates of the precision of regression coefficients, and unreliable confidence intervals and significance tests. The result of the chi-square testing was considered statistically significant for all the variables tested. Overall, the variables of first generation students, freshmen, underrepresented minorities, Pell and federal loan recipients, and GPA had the greatest contribution to the chi-square test with all having a residual value greater than 2.0. These results are consistent with several national studies on the relationship between various student characteristics and federal student loan default rates. In addition, several of the results of the multiple regression analysis were considered statistically significant. However, these results are not reliable since the assumption of data normality was violated. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.]
Published: 2017

13. Self‐applied somnography: technical feasibility of electroencephalography and electro‐oculography signal characteristics in sleep staging of suspected sleep‐disordered adults

Author: Rusanen, Matias, primary, Korkalainen, Henri, additional, Gretarsdottir, Heidur, additional, Siilak, Tiina, additional, Olafsdottir, Kristin Anna, additional, Töyräs, Juha, additional, Myllymaa, Sami, additional, Arnardottir, Erna Sif, additional, Leppänen, Timo, additional, and Kainulainen, Samu, additional
Published: 2023
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14. Application of human biomonitoring data to support policy development, raise awareness and environmental public health protection among countries within the HBM4EU project

Author: Ubong, Dorothy, primary, Stewart, Lorraine, additional, Sepai, Ovnair, additional, Knudsen, Lisbeth E., additional, Berman, Tamar, additional, Reynders, Hans, additional, Van Campenhout, Karen, additional, Katsonouri, Andromachi, additional, Van Nieuwenhuyse, An, additional, Ingelido, Anna Maria, additional, Castaño, Argelia, additional, Pedraza-Díaz, Susana, additional, Eiríksdóttir, Ása Valgerður, additional, Thomsen, Cathrine, additional, Hartmann, Christina, additional, Gjorgjev, Dragan, additional, De Felip, Elena, additional, Tolonen, Hanna, additional, Santonen, Tiina, additional, klanova, Jana, additional, Norström, Karin, additional, Kononenko, Lijana, additional, Silva, Maria João, additional, Uhl, Maria, additional, Kolossa-Gehring, Marike, additional, Apel, Petra, additional, Jõemaa, Merli, additional, Jajcaj, Michal, additional, Estokova, Milada, additional, Luijten, Mirjam, additional, Lebret, Erik, additional, von Goetz, Natalie, additional, Holcer, Natasa Janev, additional, Probst-Hensch, Nicole, additional, Cavaleiro, Rita, additional, Barouki, Robert, additional, Tarroja, Elena, additional, Balčienė, Rosita Marija, additional, Strumylaite, Loreta, additional, Latvala, Siiri, additional, Namorado, Sónia, additional, Szigeti, Tamás, additional, Ingi Halldorsson, Thorhallur, additional, Olafsdottir, Kristin, additional, Wasowicz, Wojciech, additional, Viegas, Susana, additional, and Alvito, Paula, additional
Published: 2023
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15. Arctic Monitoring and Assessment Programme (AMAP)—IPY Meeting in Iqaluit, Nunavut, Canada (June 2009), and AMAP Human Health Assessment 2009

Author: Hansen, Jens C., Van Oostdam, Jay, Gilman, Andrew P., Odland, Jon Øyvind, Donaldson, Shawn G., Vaktskjold, Arild, Tikhonov, Constantine, Dudarev, Alexey A., Ayotte, Pierre, Berner, James E., Bonefeld-Jørgensen, Eva Cecilie, Carlsen, Anders, Deutch, Bente, Dewailly, Eric, Furgal, Christopher, Muckle, Gina, Ólafsdóttir, Kristín, Pedersen, Henning Sloth, Rautio, Arja, Sandanger, Torkjel M., Weihe, Pal, Weber, Jean-Phillipe, Savolainen, Markku, Skinner, Kelly, Kallenborn, Roland, Series editor, di Prisco, Guido, Series editor, Walton, David, Series editor, and Barr, Susan, Series editor
Published: 2016
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16. Multicentre sleep‐stage scoring agreement in the Sleep Revolution project.

Author: Nikkonen, Sami, Somaskandhan, Pranavan, Korkalainen, Henri, Kainulainen, Samu, Terrill, Philip I., Gretarsdottir, Heidur, Sigurdardottir, Sigridur, Olafsdottir, Kristin Anna, Islind, Anna Sigridur, Óskarsdóttir, María, Arnardóttir, Erna Sif, and Leppänen, Timo
Subjects: RAPID eye movement sleep, NON-REM sleep, SLEEP stages, SLEEP
Abstract: Summary: Determining sleep stages accurately is an important part of the diagnostic process for numerous sleep disorders. However, as the sleep stage scoring is done manually following visual scoring rules there can be considerable variation in the sleep staging between different scorers. Thus, this study aimed to comprehensively evaluate the inter‐rater agreement in sleep staging. A total of 50 polysomnography recordings were manually scored by 10 independent scorers from seven different sleep centres. We used the 10 scorings to calculate a majority score by taking the sleep stage that was the most scored stage for each epoch. The overall agreement for sleep staging was κ = 0.71 and the mean agreement with the majority score was 0.86. The scorers were in perfect agreement in 48% of all scored epochs. The agreement was highest in rapid eye movement sleep (κ = 0.86) and lowest in N1 sleep (κ = 0.41). The agreement with the majority scoring varied between the scorers from 81% to 91%, with large variations between the scorers in sleep stage‐specific agreements. Scorers from the same sleep centres had the highest pairwise agreements at κ = 0.79, κ = 0.85, and κ = 0.78, while the lowest pairwise agreement between the scorers was κ = 0.58. We also found a moderate negative correlation between sleep staging agreement and the apnea–hypopnea index, as well as the rate of sleep stage transitions. In conclusion, although the overall agreement was high, several areas of low agreement were also found, mainly between non‐rapid eye movement stages. [ABSTRACT FROM AUTHOR]
Published: 2024
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17. Harmonized human biomonitoring in European children, teenagers and adults: EU-wide exposure data of 11 chemical substance groups from the HBM4EU Aligned Studies (2014–2021)

Author: Govarts, Eva, primary, Gilles, Liese, additional, Rodriguez Martin, Laura, additional, Santonen, Tiina, additional, Apel, Petra, additional, Alvito, Paula, additional, Anastasi, Elena, additional, Andersen, Helle Raun, additional, Andersson, Anna-Maria, additional, Andryskova, Lenka, additional, Antignac, Jean-Philippe, additional, Appenzeller, Brice, additional, Barbone, Fabio, additional, Barnett-Itzhaki, Zohar, additional, Barouki, Robert, additional, Berman, Tamar, additional, Bil, Wieneke, additional, Borges, Teresa, additional, Buekers, Jurgen, additional, Cañas-Portilla, Ana, additional, Covaci, Adrian, additional, Csako, Zsofia, additional, Den Hond, Elly, additional, Dvorakova, Darina, additional, Fabelova, Lucia, additional, Fletcher, Tony, additional, Frederiksen, Hanne, additional, Gabriel, Catherine, additional, Ganzleben, Catherine, additional, Göen, Thomas, additional, Halldorsson, Thorhallur I., additional, Haug, Line S., additional, Horvat, Milena, additional, Huuskonen, Pasi, additional, Imboden, Medea, additional, Jagodic Hudobivnik, Marta, additional, Janasik, Beata, additional, Janev Holcer, Natasa, additional, Karakitsios, Spyros, additional, Katsonouri, Andromachi, additional, Klanova, Jana, additional, Kokaraki, Venetia, additional, Kold Jensen, Tina, additional, Koponen, Jani, additional, Laeremans, Michelle, additional, Laguzzi, Federica, additional, Lange, Rosa, additional, Lemke, Nora, additional, Lignell, Sanna, additional, Lindroos, Anna Karin, additional, Lobo Vicente, Joana, additional, Luijten, Mirjam, additional, Makris, Konstantinos C., additional, Mazej, Darja, additional, Melymuk, Lisa, additional, Meslin, Matthieu, additional, Mol, Hans, additional, Montazeri, Parisa, additional, Murawski, Aline, additional, Namorado, Sónia, additional, Niemann, Lars, additional, Nübler, Stefanie, additional, Nunes, Baltazar, additional, Olafsdottir, Kristin, additional, Palkovicova Murinova, Lubica, additional, Papaioannou, Nafsika, additional, Pedraza-Diaz, Susana, additional, Piler, Pavel, additional, Plichta, Veronika, additional, Poteser, Michael, additional, Probst-Hensch, Nicole, additional, Rambaud, Loïc, additional, Rauscher-Gabernig, Elke, additional, Rausova, Katarina, additional, Remy, Sylvie, additional, Riou, Margaux, additional, Rosolen, Valentina, additional, Rousselle, Christophe, additional, Rüther, Maria, additional, Sarigiannis, Denis, additional, Silva, Maria J., additional, Šlejkovec, Zdenka, additional, Snoj Tratnik, Janja, additional, Stajnko, Anja, additional, Szigeti, Tamas, additional, Tarazona, José V., additional, Thomsen, Cathrine, additional, Tkalec, Žiga, additional, Tolonen, Hanna, additional, Trnovec, Tomas, additional, Uhl, Maria, additional, Van Nieuwenhuyse, An, additional, Vasco, Elsa, additional, Verheyen, Veerle J., additional, Viegas, Susana, additional, Vinggaard, Anne Marie, additional, Vogel, Nina, additional, Vorkamp, Katrin, additional, Wasowicz, Wojciech, additional, Weber, Till, additional, Wimmerova, Sona, additional, Woutersen, Marjolijn, additional, Zimmermann, Philipp, additional, Zvonar, Martin, additional, Koch, Holger, additional, Kolossa-Gehring, Marike, additional, Esteban López, Marta, additional, Castaño, Argelia, additional, Stewart, Lorraine, additional, Sepai, Ovnair, additional, and Schoeters, Greet, additional
Published: 2023
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18. Harmonized human biomonitoring in European children, teenagers and adults:EU-wide exposure data of 11 chemical substance groups from the HBM4EU Aligned Studies (2014-2021)

Author: Govarts, Eva, Gilles, Liese, Rodriguez Martin, Laura, Santonen, Tiina, Apel, Petra, Alvito, Paula, Anastasi, Elena, Andersen, Helle Raun, Andersson, Anna-Maria, Andryskova, Lenka, Antignac, Jean-Philippe, Appenzeller, Brice, Barbone, Fabio, Barnett-Itzhaki, Zohar, Barouki, Robert, Berman, Tamar, Bil, Wieneke, Borges, Teresa, Buekers, Jurgen, Cañas-Portilla, Ana, Covaci, Adrian, Csako, Zsofia, Den Hond, Elly, Dvorakova, Darina, Fabelova, Lucia, Fletcher, Tony, Frederiksen, Hanne, Gabriel, Catherine, Ganzleben, Catherine, Göen, Thomas, Halldorsson, Thorhallur I, Haug, Line S, Horvat, Milena, Huuskonen, Pasi, Imboden, Medea, Jagodic Hudobivnik, Marta, Janasik, Beata, Janev Holcer, Natasa, Karakitsios, Spyros, Katsonouri, Andromachi, Klanova, Jana, Kokaraki, Venetia, Kold Jensen, Tina, Koponen, Jani, Laeremans, Michelle, Laguzzi, Federica, Lange, Rosa, Lemke, Nora, Lignell, Sanna, Lindroos, Anna Karin, Lobo Vicente, Joana, Luijten, Mirjam, Makris, Konstantinos C, Mazej, Darja, Melymuk, Lisa, Meslin, Matthieu, Mol, Hans, Montazeri, Parisa, Murawski, Aline, Namorado, Sónia, Niemann, Lars, Nübler, Stefanie, Nunes, Baltazar, Olafsdottir, Kristin, Palkovicova Murinova, Lubica, Papaioannou, Nafsika, Pedraza-Diaz, Susana, Piler, Pavel, Plichta, Veronika, Poteser, Michael, Probst-Hensch, Nicole, Rambaud, Loïc, Rauscher-Gabernig, Elke, Rausova, Katarina, Remy, Sylvie, Riou, Margaux, Rosolen, Valentina, Rousselle, Christophe, Rüther, Maria, Sarigiannis, Denis, Silva, Maria J., Šlejkovec, Zdenka, Snoj Tratnik, Janja, Stajnko, Anja, Szigeti, Tamas, Tarazona, José V., Thomsen, Cathrine, Tkalec, Žiga, Tolonen, Hanna, Trnovec, Tomas, Uhl, Maria, Van Nieuwenhuyse, An, Vasco, Elsa, Verheyen, Veerle J, Viegas, Susana, Vinggaard, Anne Marie, Vogel, Nina, Vorkamp, Katrin, Wasowicz, Wojciech, Weber, Till, Wimmerova, Sona, Woutersen, Marjolijn, Zimmermann, Philipp, Zvonar, Martin, Koch, Holger, Kolossa-Gehring, Marike, Esteban López, Marta, Castaño, Argelia, Stewart, Lorraine, Sepai, Ovnair, Schoeters, Greet, Govarts, Eva, Gilles, Liese, Rodriguez Martin, Laura, Santonen, Tiina, Apel, Petra, Alvito, Paula, Anastasi, Elena, Andersen, Helle Raun, Andersson, Anna-Maria, Andryskova, Lenka, Antignac, Jean-Philippe, Appenzeller, Brice, Barbone, Fabio, Barnett-Itzhaki, Zohar, Barouki, Robert, Berman, Tamar, Bil, Wieneke, Borges, Teresa, Buekers, Jurgen, Cañas-Portilla, Ana, Covaci, Adrian, Csako, Zsofia, Den Hond, Elly, Dvorakova, Darina, Fabelova, Lucia, Fletcher, Tony, Frederiksen, Hanne, Gabriel, Catherine, Ganzleben, Catherine, Göen, Thomas, Halldorsson, Thorhallur I, Haug, Line S, Horvat, Milena, Huuskonen, Pasi, Imboden, Medea, Jagodic Hudobivnik, Marta, Janasik, Beata, Janev Holcer, Natasa, Karakitsios, Spyros, Katsonouri, Andromachi, Klanova, Jana, Kokaraki, Venetia, Kold Jensen, Tina, Koponen, Jani, Laeremans, Michelle, Laguzzi, Federica, Lange, Rosa, Lemke, Nora, Lignell, Sanna, Lindroos, Anna Karin, Lobo Vicente, Joana, Luijten, Mirjam, Makris, Konstantinos C, Mazej, Darja, Melymuk, Lisa, Meslin, Matthieu, Mol, Hans, Montazeri, Parisa, Murawski, Aline, Namorado, Sónia, Niemann, Lars, Nübler, Stefanie, Nunes, Baltazar, Olafsdottir, Kristin, Palkovicova Murinova, Lubica, Papaioannou, Nafsika, Pedraza-Diaz, Susana, Piler, Pavel, Plichta, Veronika, Poteser, Michael, Probst-Hensch, Nicole, Rambaud, Loïc, Rauscher-Gabernig, Elke, Rausova, Katarina, Remy, Sylvie, Riou, Margaux, Rosolen, Valentina, Rousselle, Christophe, Rüther, Maria, Sarigiannis, Denis, Silva, Maria J., Šlejkovec, Zdenka, Snoj Tratnik, Janja, Stajnko, Anja, Szigeti, Tamas, Tarazona, José V., Thomsen, Cathrine, Tkalec, Žiga, Tolonen, Hanna, Trnovec, Tomas, Uhl, Maria, Van Nieuwenhuyse, An, Vasco, Elsa, Verheyen, Veerle J, Viegas, Susana, Vinggaard, Anne Marie, Vogel, Nina, Vorkamp, Katrin, Wasowicz, Wojciech, Weber, Till, Wimmerova, Sona, Woutersen, Marjolijn, Zimmermann, Philipp, Zvonar, Martin, Koch, Holger, Kolossa-Gehring, Marike, Esteban López, Marta, Castaño, Argelia, Stewart, Lorraine, Sepai, Ovnair, and Schoeters, Greet
Abstract: As one of the core elements of the European Human Biomonitoring Initiative (HBM4EU) a human biomonitoring (HBM) survey was conducted in 23 countries to generate EU-wide comparable HBM data. This survey has built on existing HBM capacity in Europe by aligning national or regional HBM studies, referred to as the HBM4EU Aligned Studies. The HBM4EU Aligned Studies included a total of 10,795 participants of three age groups: (i) 3,576 children aged 6-12 years, (ii) 3,117 teenagers aged 12-18 years and (iii) 4,102 young adults aged 20-39 years. The participants were recruited between 2014 and 2021 in 11-12 countries per age group, geographically distributed across Europe. Depending on the age group, internal exposure to phthalates and the substitute DINCH, halogenated and organophosphorus flame retardants, per- and polyfluoroalkyl substances (PFASs), cadmium, bisphenols, polycyclic aromatic hydrocarbons (PAHs), arsenic species, acrylamide, mycotoxins (deoxynivalenol (total DON)), benzophenones and selected pesticides was assessed by measuring substance specific biomarkers subjected to stringent quality control programs for chemical analysis. For substance groups analyzed in different age groups higher average exposure levels were observed in the youngest age group, i.e., phthalates/DINCH in children versus teenagers, acrylamide and pesticides in children versus adults, benzophenones in teenagers versus adults. Many biomarkers in teenagers and adults varied significantly according to educational attainment, with higher exposure levels of bisphenols, phthalates, benzophenones, PAHs and acrylamide in participants (from households) with lower educational attainment, while teenagers from households with higher educational attainment have higher exposure levels for PFASs and arsenic. In children, a social gradient was only observed for the non-specific pyrethroid metabolite 3-PBA and di-isodecyl phthalate (DiDP), with higher levels in children from households with higher educat
Published: 2023

19. Application of human biomonitoring data to support policy development, raise awareness and environmental public health protection among countries within the HBM4EU project

Author: Ubong, Dorothy, Stewart, Lorraine, Sepai, Ovnair, Knudsen, Lisbeth E., Berman, Tamar, Reynders, Hans, Van Campenhout, Karen, Katsonouri, Andromachi, Van Nieuwenhuyse, An, Ingelido, Anna Maria, Castaño, Argelia, Pedraza-Díaz, Susana, Eiríksdóttir, Ása Valgerður, Thomsen, Cathrine, Hartmann, Christina, Gjorgjev, Dragan, De Felip, Elena, Tolonen, Hanna, Santonen, Tiina, klanova, Jana, Norström, Karin, Kononenko, Lijana, Silva, Maria João, Uhl, Maria, Kolossa-Gehring, Marike, Apel, Petra, Jõemaa, Merli, Jajcaj, Michal, Estokova, Milada, Luijten, Mirjam, Lebret, Erik, von Goetz, Natalie, Holcer, Natasa Janev, Probst-Hensch, Nicole, Cavaleiro, Rita, Barouki, Robert, Tarroja, Elena, Balčienė, Rosita Marija, Strumylaite, Loreta, Latvala, Siiri, Namorado, Sónia, Szigeti, Tamás, Ingi Halldorsson, Thorhallur, Olafsdottir, Kristin, Wasowicz, Wojciech, Viegas, Susana, Alvito, Paula, Ubong, Dorothy, Stewart, Lorraine, Sepai, Ovnair, Knudsen, Lisbeth E., Berman, Tamar, Reynders, Hans, Van Campenhout, Karen, Katsonouri, Andromachi, Van Nieuwenhuyse, An, Ingelido, Anna Maria, Castaño, Argelia, Pedraza-Díaz, Susana, Eiríksdóttir, Ása Valgerður, Thomsen, Cathrine, Hartmann, Christina, Gjorgjev, Dragan, De Felip, Elena, Tolonen, Hanna, Santonen, Tiina, klanova, Jana, Norström, Karin, Kononenko, Lijana, Silva, Maria João, Uhl, Maria, Kolossa-Gehring, Marike, Apel, Petra, Jõemaa, Merli, Jajcaj, Michal, Estokova, Milada, Luijten, Mirjam, Lebret, Erik, von Goetz, Natalie, Holcer, Natasa Janev, Probst-Hensch, Nicole, Cavaleiro, Rita, Barouki, Robert, Tarroja, Elena, Balčienė, Rosita Marija, Strumylaite, Loreta, Latvala, Siiri, Namorado, Sónia, Szigeti, Tamás, Ingi Halldorsson, Thorhallur, Olafsdottir, Kristin, Wasowicz, Wojciech, Viegas, Susana, and Alvito, Paula
Abstract: Most countries have acknowledged the importance of assessing and quantifying their population's internal exposure from chemicals in air, water, soil, food and other consumer products due to the potential health and economic impact. Human biomonitoring (HBM) is a valuable tool which can be used to quantify such exposures and effects. Results from HBM studies can also contribute to improving public health by providing evidence of individuals' internal chemical exposure as well as data to understand the burden of disease and associated costs thereby stimulating the development and implementation of evidence-based policy. To have a holistic view on HBM data utilisation, a multi-case research approach was used to explore the use of HBM data to support national chemical regulations, protect public health and raise awareness among countries participating in the HBM4EU project. The Human Biomonitoring for Europe (HBM4EU) Initiative (https://www.hbm4eu.eu/) is a collaborative effort involving 30 countries, the European Environment Agency (EEA) and the European Commission (contracting authority) to harmonise procedures across Europe and advance research into the understanding of the health impacts of environmental chemical exposure. One of the aims of the project was to use HBM data to support evidence based chemical policy and make this information timely and directly available for policy makers and all partners. The main data source for this article was the narratives collected from 27 countries within the HBM4EU project. The countries (self-selection) were grouped into 3 categories in terms of HBM data usage either for public awareness, policy support or for the establishment HBM programme. Narratives were analysed/summarised using guidelines and templates that focused on ministries involved in or advocating for HBM; steps required to engage policy makers; barriers, drivers and opportunities in developing a HBM programme. The narratives reported the use of HBM data eith
Published: 2023

20. Harmonized human biomonitoring in European children, teenagers and adults : EU-wide exposure data of 11 chemical substance groups from the HBM4EU Aligned Studies (2014–2021)

Author: Govarts, Eva, Gilles, Liese, Rodriguez Martin, Laura, Santonen, Tiina, Apel, Petra, Alvito, Paula, Anastasi, Elena, Andersen, Helle Raun, Andersson, Anna Maria, Andryskova, Lenka, Antignac, Jean Philippe, Appenzeller, Brice, Barbone, Fabio, Barnett-Itzhaki, Zohar, Barouki, Robert, Berman, Tamar, Bil, Wieneke, Borges, Teresa, Buekers, Jurgen, Cañas-Portilla, Ana, Covaci, Adrian, Csako, Zsofia, Den Hond, Elly, Dvorakova, Darina, Fabelova, Lucia, Fletcher, Tony, Frederiksen, Hanne, Gabriel, Catherine, Ganzleben, Catherine, Göen, Thomas, Halldorsson, Thorhallur I., Haug, Line S., Horvat, Milena, Huuskonen, Pasi, Imboden, Medea, Jagodic Hudobivnik, Marta, Janasik, Beata, Janev Holcer, Natasa, Karakitsios, Spyros, Katsonouri, Andromachi, Klanova, Jana, Kokaraki, Venetia, Kold Jensen, Tina, Koponen, Jani, Laeremans, Michelle, Laguzzi, Federica, Lange, Rosa, Lemke, Nora, Lignell, Sanna, Lindroos, Anna Karin, Lobo Vicente, Joana, Luijten, Mirjam, Makris, Konstantinos C., Mazej, Darja, Melymuk, Lisa, Meslin, Matthieu, Mol, Hans, Montazeri, Parisa, Murawski, Aline, Namorado, Sónia, Niemann, Lars, Nübler, Stefanie, Nunes, Baltazar, Olafsdottir, Kristin, Palkovicova Murinova, Lubica, Papaioannou, Nafsika, Pedraza-Diaz, Susana, Piler, Pavel, Plichta, Veronika, Poteser, Michael, Probst-Hensch, Nicole, Rambaud, Loïc, Rauscher-Gabernig, Elke, Rausova, Katarina, Remy, Sylvie, Riou, Margaux, Rosolen, Valentina, Rousselle, Christophe, Rüther, Maria, Sarigiannis, Denis, Silva, Maria J., Šlejkovec, Zdenka, Snoj Tratnik, Janja, Stajnko, Anja, Szigeti, Tamas, Tarazona, José V., Thomsen, Cathrine, Tkalec, Žiga, Tolonen, Hanna, Trnovec, Tomas, Uhl, Maria, Van Nieuwenhuyse, An, Vasco, Elsa, Verheyen, Veerle J., Viegas, Susana, Vinggaard, Anne Marie, Vogel, Nina, Vorkamp, Katrin, Wasowicz, Wojciech, Weber, Till, Wimmerova, Sona, Woutersen, Marjolijn, Zimmermann, Philipp, Zvonar, Martin, Koch, Holger, Kolossa-Gehring, Marike, Esteban López, Marta, Castaño, Argelia, Stewart, Lorraine, Sepai, Ovnair, Schoeters, Greet, Govarts, Eva, Gilles, Liese, Rodriguez Martin, Laura, Santonen, Tiina, Apel, Petra, Alvito, Paula, Anastasi, Elena, Andersen, Helle Raun, Andersson, Anna Maria, Andryskova, Lenka, Antignac, Jean Philippe, Appenzeller, Brice, Barbone, Fabio, Barnett-Itzhaki, Zohar, Barouki, Robert, Berman, Tamar, Bil, Wieneke, Borges, Teresa, Buekers, Jurgen, Cañas-Portilla, Ana, Covaci, Adrian, Csako, Zsofia, Den Hond, Elly, Dvorakova, Darina, Fabelova, Lucia, Fletcher, Tony, Frederiksen, Hanne, Gabriel, Catherine, Ganzleben, Catherine, Göen, Thomas, Halldorsson, Thorhallur I., Haug, Line S., Horvat, Milena, Huuskonen, Pasi, Imboden, Medea, Jagodic Hudobivnik, Marta, Janasik, Beata, Janev Holcer, Natasa, Karakitsios, Spyros, Katsonouri, Andromachi, Klanova, Jana, Kokaraki, Venetia, Kold Jensen, Tina, Koponen, Jani, Laeremans, Michelle, Laguzzi, Federica, Lange, Rosa, Lemke, Nora, Lignell, Sanna, Lindroos, Anna Karin, Lobo Vicente, Joana, Luijten, Mirjam, Makris, Konstantinos C., Mazej, Darja, Melymuk, Lisa, Meslin, Matthieu, Mol, Hans, Montazeri, Parisa, Murawski, Aline, Namorado, Sónia, Niemann, Lars, Nübler, Stefanie, Nunes, Baltazar, Olafsdottir, Kristin, Palkovicova Murinova, Lubica, Papaioannou, Nafsika, Pedraza-Diaz, Susana, Piler, Pavel, Plichta, Veronika, Poteser, Michael, Probst-Hensch, Nicole, Rambaud, Loïc, Rauscher-Gabernig, Elke, Rausova, Katarina, Remy, Sylvie, Riou, Margaux, Rosolen, Valentina, Rousselle, Christophe, Rüther, Maria, Sarigiannis, Denis, Silva, Maria J., Šlejkovec, Zdenka, Snoj Tratnik, Janja, Stajnko, Anja, Szigeti, Tamas, Tarazona, José V., Thomsen, Cathrine, Tkalec, Žiga, Tolonen, Hanna, Trnovec, Tomas, Uhl, Maria, Van Nieuwenhuyse, An, Vasco, Elsa, Verheyen, Veerle J., Viegas, Susana, Vinggaard, Anne Marie, Vogel, Nina, Vorkamp, Katrin, Wasowicz, Wojciech, Weber, Till, Wimmerova, Sona, Woutersen, Marjolijn, Zimmermann, Philipp, Zvonar, Martin, Koch, Holger, Kolossa-Gehring, Marike, Esteban López, Marta, Castaño, Argelia, Stewart, Lorraine, Sepai, Ovnair, and Schoeters, Greet
Abstract: As one of the core elements of the European Human Biomonitoring Initiative (HBM4EU) a human biomonitoring (HBM) survey was conducted in 23 countries to generate EU-wide comparable HBM data. This survey has built on existing HBM capacity in Europe by aligning national or regional HBM studies, referred to as the HBM4EU Aligned Studies. The HBM4EU Aligned Studies included a total of 10,795 participants of three age groups: (i) 3,576 children aged 6–12 years, (ii) 3,117 teenagers aged 12–18 years and (iii) 4,102 young adults aged 20–39 years. The participants were recruited between 2014 and 2021 in 11–12 countries per age group, geographically distributed across Europe. Depending on the age group, internal exposure to phthalates and the substitute DINCH, halogenated and organophosphorus flame retardants, per- and polyfluoroalkyl substances (PFASs), cadmium, bisphenols, polycyclic aromatic hydrocarbons (PAHs), arsenic species, acrylamide, mycotoxins (deoxynivalenol (total DON)), benzophenones and selected pesticides was assessed by measuring substance specific biomarkers subjected to stringent quality control programs for chemical analysis. For substance groups analyzed in different age groups higher average exposure levels were observed in the youngest age group, i.e., phthalates/DINCH in children versus teenagers, acrylamide and pesticides in children versus adults, benzophenones in teenagers versus adults. Many biomarkers in teenagers and adults varied significantly according to educational attainment, with higher exposure levels of bisphenols, phthalates, benzophenones, PAHs and acrylamide in participants (from households) with lower educational attainment, while teenagers from households with higher educational attainment have higher exposure levels for PFASs and arsenic. In children, a social gradient was only observed for the non-specific pyrethroid metabolite 3-PBA and di-isodecyl phthalate (DiDP), with higher levels in children from households with higher educat
Published: 2023

21. REDFIT-X: Cross-spectral analysis of unevenly spaced paleoclimate time series

Author: Björg Ólafsdóttir, Kristín, Schulz, Michael, and Mudelsee, Manfred
Published: 2016
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22. EU-wide exposure data of 11 chemical substance groups from the HBM4EU Aligned Studies (2014–2021)

Author: Govarts, Eva, Gilles, Liese, Rodriguez Martin, Laura, Santonen, Tiina, Apel, Petra, Alvito, Paula, Anastasi, Elena, Andersen, Helle Raun, Andersson, Anna Maria, Andryskova, Lenka, Antignac, Jean Philippe, Appenzeller, Brice, Barbone, Fabio, Barnett-Itzhaki, Zohar, Barouki, Robert, Berman, Tamar, Bil, Wieneke, Borges, Teresa, Buekers, Jurgen, Cañas-Portilla, Ana, Covaci, Adrian, Csako, Zsofia, Den Hond, Elly, Dvorakova, Darina, Fabelova, Lucia, Fletcher, Tony, Frederiksen, Hanne, Gabriel, Catherine, Ganzleben, Catherine, Göen, Thomas, Halldorsson, Thorhallur I., Haug, Line S., Horvat, Milena, Huuskonen, Pasi, Imboden, Medea, Jagodic Hudobivnik, Marta, Janasik, Beata, Janev Holcer, Natasa, Karakitsios, Spyros, Katsonouri, Andromachi, Klanova, Jana, Kokaraki, Venetia, Kold Jensen, Tina, Koponen, Jani, Laeremans, Michelle, Laguzzi, Federica, Lange, Rosa, Lemke, Nora, Lignell, Sanna, Lindroos, Anna Karin, Lobo Vicente, Joana, Luijten, Mirjam, Makris, Konstantinos C., Mazej, Darja, Melymuk, Lisa, Meslin, Matthieu, Mol, Hans, Montazeri, Parisa, Murawski, Aline, Namorado, Sónia, Niemann, Lars, Nübler, Stefanie, Nunes, Baltazar, Olafsdottir, Kristin, Palkovicova Murinova, Lubica, Papaioannou, Nafsika, Pedraza-Diaz, Susana, Piler, Pavel, Plichta, Veronika, Poteser, Michael, Probst-Hensch, Nicole, Rambaud, Loïc, Rauscher-Gabernig, Elke, Rausova, Katarina, Remy, Sylvie, Riou, Margaux, Rosolen, Valentina, Rousselle, Christophe, Rüther, Maria, Sarigiannis, Denis, Silva, Maria J., Šlejkovec, Zdenka, Snoj Tratnik, Janja, Stajnko, Anja, Szigeti, Tamas, Tarazona, José V., Thomsen, Cathrine, Tkalec, Žiga, Tolonen, Hanna, Trnovec, Tomas, Uhl, Maria, Van Nieuwenhuyse, An, Vasco, Elsa, Verheyen, Veerle J., Viegas, Susana, Vinggaard, Anne Marie, Vogel, Nina, Vorkamp, Katrin, Wasowicz, Wojciech, Weber, Till, Wimmerova, Sona, Woutersen, Marjolijn, Zimmermann, Philipp, Zvonar, Martin, Koch, Holger, Kolossa-Gehring, Marike, Esteban López, Marta, Castaño, Argelia, Stewart, Lorraine, Sepai, Ovnair, Schoeters, Greet, and NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)
Subjects: HBM4EU, SDG 3 - Good Health and Well-being, Public Health, Environmental and Occupational Health, Adults, Exposure biomarkers, Children, Teenagers, Human biomonitoring (HBM)
Abstract: Funding Information: The authors would like to thank everybody who contributed to the HBM4EU Aligned Studies: the participating children, teenagers, adults and their families, the fieldworkers that collected the samples and database managers that made the information available to HBM4EU, the HBM4EU project partners, especially those from WP7 for developing all materials supporting the fieldwork, WP9 for organizing the QA/QC scheme under HBM4EU and all laboratories who performed the analytical measurements. We would like to acknowledge Sun Kyoung Jung from the National Institute of Environmental Research of South-Korea for providing the KoNEHS Cycle III results (crt adjusted). HBM4EU is co-financed under Horizon 2020 (grant agreement No 733032). The authors thank all principal investigators of the contributing studies for their participation and contribution to the HBM4EU Aligned Studies and the national program owners for their financial support. Further details on funding for all the participating studies can be found in the Supplemental Material, Table S12. As one of the core elements of the European Human Biomonitoring Initiative (HBM4EU) a human biomonitoring (HBM) survey was conducted in 23 countries to generate EU-wide comparable HBM data. This survey has built on existing HBM capacity in Europe by aligning national or regional HBM studies, referred to as the HBM4EU Aligned Studies. The HBM4EU Aligned Studies included a total of 10,795 participants of three age groups: (i) 3,576 children aged 6–12 years, (ii) 3,117 teenagers aged 12–18 years and (iii) 4,102 young adults aged 20–39 years. The participants were recruited between 2014 and 2021 in 11–12 countries per age group, geographically distributed across Europe. Depending on the age group, internal exposure to phthalates and the substitute DINCH, halogenated and organophosphorus flame retardants, per- and polyfluoroalkyl substances (PFASs), cadmium, bisphenols, polycyclic aromatic hydrocarbons (PAHs), arsenic species, acrylamide, mycotoxins (deoxynivalenol (total DON)), benzophenones and selected pesticides was assessed by measuring substance specific biomarkers subjected to stringent quality control programs for chemical analysis. For substance groups analyzed in different age groups higher average exposure levels were observed in the youngest age group, i.e., phthalates/DINCH in children versus teenagers, acrylamide and pesticides in children versus adults, benzophenones in teenagers versus adults. Many biomarkers in teenagers and adults varied significantly according to educational attainment, with higher exposure levels of bisphenols, phthalates, benzophenones, PAHs and acrylamide in participants (from households) with lower educational attainment, while teenagers from households with higher educational attainment have higher exposure levels for PFASs and arsenic. In children, a social gradient was only observed for the non-specific pyrethroid metabolite 3-PBA and di-isodecyl phthalate (DiDP), with higher levels in children from households with higher educational attainment. Geographical variations were seen for all exposure biomarkers. For 15 biomarkers, the available health-based HBM guidance values were exceeded with highest exceedance rates for toxicologically relevant arsenic in teenagers (40%), 3-PBA in children (36%), and between 11 and 14% for total DON, Σ (PFOA + PFNA + PFHxS + PFOS), bisphenol S and cadmium. The infrastructure and harmonized approach succeeded in obtaining comparable European wide internal exposure data for a prioritized set of 11 chemical groups. These data serve as a reference for comparison at the global level, provide a baseline to compare the efficacy of the European Commission's chemical strategy for sustainability and will give leverage to national policy makers for the implementation of targeted measures. publishersversion published
Published: 2023

23. In-person vs video hookup instructions: a comparison of home sleep apnea testing quality

Author: Horne, Anna Franziska, primary, Olafsdottir, Kristin A., additional, and Arnardottir, Erna S., additional
Published: 2022
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24. Regional Climates

Author: Bissolli, Peter, primary, Ganter, Catherine, additional, Mekonnen, Ademe, additional, Sánchez-Lugo, Ahira, additional, Zhu, Zhiwei, additional, Abida, A., additional, Agyakwah, W., additional, Aldeco, Laura S., additional, Alfaro, Eric J., additional, Allen, Teddy, additional, Alves, Lincoln M., additional, Amador, Jorge A., additional, Andrade, B., additional, Asgarzadeh, P., additional, Avalos, Grinia, additional, Baez, Julian, additional, Bardin, M. Yu., additional, Bekele, E., additional, Bertalanic, Renato, additional, Bochníček, Oliver, additional, Bukunt, Brandon, additional, Calderón, Blanca, additional, Campbell, Jayaka D., additional, Chandler, Elise, additional, Charlton, Candice S, additional, Cheng, Vincent Y. S., additional, Clarke, Leonardo A., additional, Correa, Kris, additional, Cortés Salazar, Catalina R., additional, Costa, Felipe, additional, Crhová, Lenka, additional, Cunha, Ana Paula, additional, Demircan, Mesut, additional, Dhurmea, K. R., additional, Domínguez, Diana A., additional, Dulamsuren, Dashkhuu, additional, ElKharrim, M., additional, Espinoza, Jhan-Carlo, additional, Fazl-Kezemi, A., additional, Fedaeff, Nava, additional, Fenimore, Chris, additional, Fuhrman, Steven, additional, Gleason, Karin, additional, Guard, Charles “Chip” P., additional, Hagos, Samson, additional, Hanafusa, Mizuki, additional, Heim, Richard R., additional, Kennedy, John, additional, Hellström, Sverker, additional, Hidalgo, Hugo G., additional, Ijampy, I. A., additional, Im, Gyo Soon, additional, Jumaux, G., additional, Kabidi, K., additional, Kerr, Kenneth, additional, Khalatyan, Yelena, additional, Khan, Valentina, additional, Khiem, Mai Van, additional, Koch, Tobias, additional, Koren, Gerbrand, additional, Korshunova, Natalia N., additional, Kruger, A. C., additional, Lakatos, Mónika, additional, Mamen, Jostein, additional, Lam, Hoang Phuc, additional, Lander, Mark A., additional, Lavado-Casimiro, Waldo, additional, Lee, Tsz-Cheung, additional, Leung, Kinson H. Y., additional, Liu, Xuefeng, additional, Lu, Rui, additional, Marengo, José A., additional, Marjan, Mohammadi, additional, Martínez, Ana E., additional, McBride, Charlotte, additional, Mietus, Mirek, additional, Misevicius, Noelia, additional, Moise, Aurel, additional, Molina-Carpio, Jorge, additional, Mora, Natali, additional, Mostafa, Awatif E., additional, Ndiaye, O., additional, Nieto, Juan J., additional, Olafsdottir, Kristin, additional, Pascual Ramírez, Reynaldo, additional, Phillips, David, additional, Porat, Amos, additional, Rodriguez Guisado, Esteban, additional, Rajeevan, Madhavan, additional, Ramos, Andrea M., additional, Recalde Coronel, Cristina, additional, Reyes Kohler, Alejandra J., additional, Robjhon, M., additional, Ronchail, Josyane, additional, Salinas, Roberto, additional, Sato, Hirotaka, additional, Sato, Hitoshi, additional, Sayouri, Amal, additional, Sensoy, Serhat, additional, Setiawan, Amsari Mudzakir, additional, Sima, F., additional, Smith, Adam, additional, Sorel, Matthieu, additional, Spillane, Sandra, additional, Spence, Jacqueline M., additional, Sreejith, O. P., additional, Srivastava, A. K., additional, Stephenson, Tannecia S., additional, Takahashi, Kiyotoshi, additional, Taylor, Michael A., additional, Thiaw, Wassila M., additional, Tobin, Skie, additional, Trescilo, Lidia, additional, Trotman, Adrian R., additional, Van Meerbeeck, Cedric J., additional, Vazifeh, A., additional, Wakamatsu, Shunya, additional, Zaheer, M. F., additional, Zeng, F., additional, and Zhang, Peiqun, additional
Published: 2022
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25. Improving the Risk Assessment of Pesticides through the Integration of Human Biomonitoring and Food Monitoring Data: A Case Study for Chlorpyrifos

Author: Tarazona, Jose V., primary, González-Caballero, Maria del Carmen, additional, Alba-Gonzalez, Mercedes de, additional, Pedraza-Diaz, Susana, additional, Cañas, Ana, additional, Dominguez-Morueco, Noelia, additional, Esteban-López, Marta, additional, Cattaneo, Irene, additional, Katsonouri, Andromachi, additional, Makris, Konstantinos C., additional, Halldorsson, Thorhallur I., additional, Olafsdottir, Kristin, additional, Zock, Jan-Paul, additional, Dias, Jonatan, additional, Decker, Annelies De, additional, Morrens, Bert, additional, Berman, Tamar, additional, Barnett-Itzhaki, Zohar, additional, Lindh, Christian, additional, Gilles, Liese, additional, Govarts, Eva, additional, Schoeters, Greet, additional, Weber, Till, additional, Kolossa-Gehring, Marike, additional, Santonen, Tiina, additional, and Castaño, Argelia, additional
Published: 2022
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26. Evolution of NAO and AMO strength and cyclicity derived from a 3-ka varve-thickness record from Iceland

Author: Ólafsdóttir, Kristín B., Geirsdóttir, Áslaug, Miller, Gifford H., and Larsen, Darren J.
Published: 2013
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27. Influence of wintering area on persistent organic pollutants in a breeding migratory seabird

Author: Leat, Eliza H. K., Bourgeon, Sophie, Magnusdottir, Ellen, Gabrielsen, Geir W., Grecian, W. James, Hanssen, Sveinn A., Olafsdottir, Kristin, Petersen, Aevar, Phillips, Richard A., Strøm, Hallvard, Ellis, Sandra, Fisk, Aaron T., Bustnes, Jan Ove, Furness, Robert W., and Borgå, Katrine
Published: 2013

28. Improving the Risk Assessment of Pesticides through the Integration of Human Biomonitoring and Food Monitoring Data : A Case Study for Chlorpyrifos

Author: Tarazona, Jose V., González-Caballero, Maria Del Carmen, de Alba-Gonzalez, Mercedes, Pedraza-Diaz, Susana, Cañas, Ana, Dominguez-Morueco, Noelia, Esteban-López, Marta, Cattaneo, Irene, Katsonouri, Andromachi, Makris, Konstantinos C., Halldorsson, Thorhallur I., Olafsdottir, Kristin, Zock, Jan Paul, Dias, Jonatan, De Decker, Annelies, Morrens, Bert, Berman, Tamar, Barnett-Itzhaki, Zohar, Lindh, Christian, Gilles, Liese, Govarts, Eva, Schoeters, Greet, Weber, Till, Kolossa-Gehring, Marike, Santonen, Tiina, Castaño, Argelia, Tarazona, Jose V., González-Caballero, Maria Del Carmen, de Alba-Gonzalez, Mercedes, Pedraza-Diaz, Susana, Cañas, Ana, Dominguez-Morueco, Noelia, Esteban-López, Marta, Cattaneo, Irene, Katsonouri, Andromachi, Makris, Konstantinos C., Halldorsson, Thorhallur I., Olafsdottir, Kristin, Zock, Jan Paul, Dias, Jonatan, De Decker, Annelies, Morrens, Bert, Berman, Tamar, Barnett-Itzhaki, Zohar, Lindh, Christian, Gilles, Liese, Govarts, Eva, Schoeters, Greet, Weber, Till, Kolossa-Gehring, Marike, Santonen, Tiina, and Castaño, Argelia
Abstract: The risk assessment of pesticide residues in food is a key priority in the area of food safety. Most jurisdictions have implemented pre-marketing authorization processes, which are supported by prospective risk assessments. These prospective assessments estimate the expected residue levels in food combining results from residue trials, resembling the pesticide use patterns, with food con-sumption patterns, according to internationally agreed procedures. In addition, jurisdictions such as the European Union (EU) have implemented large monitoring programs, measuring actual pesticide residue levels in food, and are supporting large-scale human biomonitoring programs for confirming the actual exposure levels and potential risk for consumers. The organophosphate insecticide chlorpyrifos offers an interesting case study, as in the last decade, its acceptable daily intake (ADI) has been reduced several times following risk assessments by the European Food Safety Authority (EFSA). This process has been linked to significant reductions in the use authorized in the EU, reducing consumers’ exposure progressively, until the final ban in 2020, accompanied by setting all EU maximum residue levels (MRL) in food at the default value of 0.01 mg/kg. We present a comparison of estimates of the consumer’s internal exposure to chlorpyrifos based on the urinary marker 3,5,6-trichloro-2-pyridinol (TCPy), using two sources of monitoring data: monitoring of the food chain from the EU program and biomonitoring of European citizens from the HB4EU project, supported by a literature search. Both methods confirmed a drastic reduction in exposure levels from 2016 onwards. The margin of exposure approach is then used for conducting retrospective risk assessments at different time points, considering the evolution of our understanding of chlorpyrifos toxicity, as well as of exposure levels in EU consumers following the regulatory decisions. Concerns are presented using a color code, and have been i
Published: 2022

29. Cadmium exposure in adults across Europe: Results from the HBM4EU Studies 2014-2020

Author: Tratnik Janja Snoj, Kocman David, Horvat Milena, Andersson Anna-Maria, Juul Anders, Jacobsen Eva, Olafsdottir Kristin, Klánová Jana, Andrýsková Lenka, Janasik Beata, Wasowicz Wojciech, Holcer Natasa Janev, Namorado Sonia, Coelho Ines, Rambaud Loic, Riou Margaux, Van Nieuwenhuyse An, Appenzeller Brice, Kolossa-Gehring Marike, Weber Till, Esteban-Lopez Marta, Castan Argelia, Gilles Liese, Marti Laura Rodriguez, Schoeters Greet, Sepai Ovnair, and Govarts Eva
Subjects: Cadmium, Human biomonitoring, European exposure levels, Phosphate fertilizer, Industrial release, NUTS, HBM4EU
Abstract: The objectives of the study were to estimate the current exposure to cadmium (Cd) in Europe, potential dif-ferences between the countries and geographic regions, determinants of exposure and to derive European exposure levels. The basis for this work was provided by the European Human Biomonitoring Initiative (HBM4EU) which established a framework for alignment of national or regional HBM studies. For the purpose of Cd exposure assessment, studies from 9 European countries (Iceland, Denmark, Poland, Czech Republic, Croatia, Portugal, Germany, France, Luxembourg) were included and urine of 20-39 years old adults sampled in the years 2014-2021 (n = 2510). The measurements in urine were quality assured by the HBM4EU quality assurance/ quality control scheme, study participants' questionnaire data were post-harmonized. Spatially resolved external data, namely Cd concentrations in soil, agricultural areas, phosphate fertilizer application, traffic density and point source Cd release were collected for the respective statistical territorial unit (NUTS). There were no distinct geographic patterns observed in Cd levels in urine, although the data revealed some differences between the specific study sites. The levels of exposure were otherwise similar between two time periods within the last decade (DEMOCOPHES -2011-2012 vs. HBM4EU Aligned Studies, 2014-2020). The age-dependent alert values for Cd in urine were exceeded by 16% of the study participants. Exceedances in the different studies and loca-tions ranged from 1.4% up to 42%. The studies with largest extent of exceedance were from France and Poland. Association analysis with individual food consumption data available from participants' questionnaires showed an important contribution of vegetarian diet to the overall exposure, with 35% higher levels in vegetarians as opposed to non-vegetarians. For comparison, increase in Cd levels due to smoking was 25%. Using NUTS2-level external data, positive associations between HBM data and percentage of cropland and consumption of Cd-containing mineral phosphate fertilizer were revealed, which indicates a significant contribution of mineral phosphate fertilizers to human Cd exposure through diet. In addition to diet, traffic and point source release were identified as significant sources of exposure in the study population. The findings of the study support the recommendation by EFSA to reduce Cd exposure as also the estimated mean dietary exposure of adults in the EU is close or slightly exceeding the tolerable weekly intake. It also indicates that regulations are not protecting the population sufficiently.
Published: 2022

30. Mechanisms of Hydroperoxide-Induced Broncho- and Vasoconstriction in the Perfused Rat Lung

Author: Olafsdottir, Kristin, Ryrfeldt, Åke, Berggren, Margareta, Moldéus, Peter, de Paulet, A. Crastes, editor, Douste-Blazy, L., editor, and Paoletti, R., editor
Published: 1990
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31. Chapter 3 - Bioactive polysaccharides and their derivatives from microalgae: biosynthesis, applications, and challenges

Author: Yi, Zhiqian, Su, Yixi, Brynjolfsson, Sigurdur, Olafsdóttir, Kristin, and Fu, Weiqi
Published: 2021
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32. Generalizable Deep Learning-Based Sleep Staging Approach for Ambulatory Textile Electrode Headband Recordings

Author: Rusanen, Matias, Huttunen, Riku, Korkalainen, Henri, Myllymaa, Sami, Toyras, Juha, Myllymaa, Katja, Sigurdardottir, Sigridur, Olafsdottir, Kristin A., Leppanen, Timo, Arnardottir, Erna S., and Kainulainen, Samu
Abstract: Reliable, automated, and user-friendly solutions for the identification of sleep stages in home environment are needed in various clinical and scientific research settings. Previously we have shown that signals recorded with an easily applicable textile electrode headband (FocusBand Technologies, T 2 Green Pty Ltd) contain characteristics similar to the standard electrooculography (EOG, E1–M2). We hypothesize that the electroencephalographic (EEG) signals recorded using the textile electrode headband are similar enough with standard EOG in order to develop an automatic neural network-based sleep staging method that generalizes from diagnostic polysomnographic (PSG) data to ambulatory sleep recordings of textile electrode-based forehead EEG. Standard EOG signals together with manually annotated sleep stages from clinical PSG dataset (n = 876) were used to train, validate, and test a fully convolutional neural network (CNN). Furthermore, ambulatory sleep recordings including a standard set of gel-based electrodes and the textile electrode headband were conducted for 10 healthy volunteers at their homes to test the generalizability of the model. In the test set (n = 88) of the clinical dataset, the model's accuracy for 5-stage sleep stage classification was 80% (κ = 0.73) using only the single-channel EOG. The model generalized well for the headband-data, reaching 82% (κ = 0.75) overall sleep staging accuracy. In comparison, accuracy of the model was 87% (κ = 0.82) in home recordings using the standard EOG. In conclusion, the CNN model shows potential on automatic sleep staging of healthy individuals using a reusable electrode headband in a home environment.
Published: 2023
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33. Spatio-temporal assessment of illicit drug use at large scale: evidence from seven dears of international wastewater (vol 115, pg 109, 2020) [Corrigendum]

Author: Gonzalez-Marino, Iria, Baz-Lomba, Jose Antonio, Alygizakis, Nikiforos A., Andres-Costa, Maria Jesus, Bade, Richard, Bannwarth, Anne, Barron, Leon P., Been, Frederic, Benaglia, Lisa, Berset, Jean-Daniel, Bijlsma, Lubertus, Bodik, Igor, Brenner, Asher, Brock, Andreas L., Burgard, Daniel A., Castrignano, Erika, Celma, Alberto, Christophoridis, Christophoros E., Covaci, Adrian, Delemont, Olivier, De Voogt, Pim, Devault, Damien A., Dias, Mario J., Emke, Erik, Esseiva, Pierre, Fatta-Kassinos, Despo, Fedorova, Ganna, Fytianos, Konstantinos, Gerber, Cobus, Grabic, Roman, Gracia-Lor, Emma, Gruener, Stefan, Gunnar, Teemu, Hapeshi, Evroula, Heath, Ester, Helm, Bjorn, Hernandez, Felix, Kankaanpaa, Aino, Karolak, Sara, Kasprzyk-Hordern, Barbara, Krizman-Matasic, Ivona, Lai, Foon Yin, Lechowicz, Wojciech, Lopes, Alvaro, De Alda, Miren Lopez, Lopez-Garcia, Ester, Love, Arndis S. C., Mastroianni, Nicola, McEneff, Gillian L., Montes, Rosa, Munro, Kelly, Nefau, Thomas, Oberacher, Herbert, O'Brien, Jake W., Oertel, Reinhard, Olafsdottir, Kristin, Pico, Yolanda, Plosz, Benedek G., Polesel, Fabio, Postigo, Cristina, Quintana, Jose Benito, Ramin, Pedram, Reid, Malcolm J., Rice, Jack, Rodil, Rosario, Salgueiro-Gonzalez, Noelia, Schubert, Sara, Senta, Ivan, Simoes, Susana M., Sremacki, Maja M., Styszko, Katarzyna, Terzic, Senka, Thomaidis, Nikolaos S., Thomas, Kevin V., Tscharke, Ben J., Udrisard, Robin, Van Nuijs, Alexander L. N., Yargeau, Viviane, Zuccato, Ettore, Castiglioni, Sara, and Ort, Christoph
Subjects: 580 Plants (Botany)
Published: 2020
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34. Spatio-temporal assessment of illicit drug use at large scale: evidence from 7 years of international wastewater monitoring

Author: González-Mariño, Iria, Baz-Lomba, Jose Antonio, Alygizakis, Nikiforos A, Andrés-Costa, Maria Jesús, Bade, Richard, Barron, Leon P, Been, Frederic, Berset, Jean-Daniel, Bijlsma, Lubertus, Bodík, Igor, Brenner, Asher, Brock, Andreas Libonati, Burgard, Daniel A, Castrignanò, Erika, Christophoridis, Christophoros E, Covaci, Adrian, de Voogt, Pim, Devault, Damien A, Dias, Mário J, Emke, Erik, Fatta-Kassinos, Despo, Fedorova, Ganna, Fytianos, Konstantinos, Gerber, Cobus, Grabic, Roman, Grüner, Stefan, Gunnar, Teemu, Hapeshi, Evroula, Heath, Ester, Helm, Björn, Hernández, Félix, Kankaanpaa, Aino, Karolak, Sara, Kasprzyk-Hordern, Barbara, Krizman-Matasic, Ivona, Lai, Foon Yin, Lechowicz, Wojciech, Lopes, Alvaro, López de Alda, Miren, López-García, Ester, Löve, Arndís S C, Mastroianni, Nicola, McEneff, Gillian L, Montes, Rosa, Munro, Kelly, Nefau, Thomas, Oberacher, Herbert, O'Brien, Jake W, Olafsdottir, Kristin, Picó, Yolanda, Plósz, Benedek G., Polesel, Fabio, Postigo, Cristina, Quintana, José Benito, Ramin, Pedram, Reid, Malcolm J, Rice, Jack, Rodil, Rosario, Senta, Ivan, Simões, Susana M, Sremacki, Maja M, Styszko, Katarzyna, Terzic, Senka, Thomaidis, Nikolaos S, Thomas, Kevin V, Tscharke, Ben J, van Nuijs, Alexander L N, Yargeau, Viviane, Zuccato, Ettore, Castiglioni, Sara, Ort, Christoph, González-Mariño, Iria, Baz-Lomba, Jose Antonio, Alygizakis, Nikiforos A, Andrés-Costa, Maria Jesús, Bade, Richard, Barron, Leon P, Been, Frederic, Berset, Jean-Daniel, Bijlsma, Lubertus, Bodík, Igor, Brenner, Asher, Brock, Andreas Libonati, Burgard, Daniel A, Castrignanò, Erika, Christophoridis, Christophoros E, Covaci, Adrian, de Voogt, Pim, Devault, Damien A, Dias, Mário J, Emke, Erik, Fatta-Kassinos, Despo, Fedorova, Ganna, Fytianos, Konstantinos, Gerber, Cobus, Grabic, Roman, Grüner, Stefan, Gunnar, Teemu, Hapeshi, Evroula, Heath, Ester, Helm, Björn, Hernández, Félix, Kankaanpaa, Aino, Karolak, Sara, Kasprzyk-Hordern, Barbara, Krizman-Matasic, Ivona, Lai, Foon Yin, Lechowicz, Wojciech, Lopes, Alvaro, López de Alda, Miren, López-García, Ester, Löve, Arndís S C, Mastroianni, Nicola, McEneff, Gillian L, Montes, Rosa, Munro, Kelly, Nefau, Thomas, Oberacher, Herbert, O'Brien, Jake W, Olafsdottir, Kristin, Picó, Yolanda, Plósz, Benedek G., Polesel, Fabio, Postigo, Cristina, Quintana, José Benito, Ramin, Pedram, Reid, Malcolm J, Rice, Jack, Rodil, Rosario, Senta, Ivan, Simões, Susana M, Sremacki, Maja M, Styszko, Katarzyna, Terzic, Senka, Thomaidis, Nikolaos S, Thomas, Kevin V, Tscharke, Ben J, van Nuijs, Alexander L N, Yargeau, Viviane, Zuccato, Ettore, Castiglioni, Sara, and Ort, Christoph
Abstract: Wastewater-based epidemiology is an additional indicator of drug use that is gaining reliability to complement the current established panel of indicators. The aims of this study were to: (i) assess spatial and temporal trends of population-normalized mass loads of benzoylecgonine, amphetamine, methamphetamine and 3,4-methylenedioxymethamphetamine (MDMA) in raw wastewater over 7 years (2011-17); (ii) address overall drug use by estimating the average number of combined doses consumed per day in each city; and (iii) compare these with existing prevalence and seizure data. Analysis of daily raw wastewater composite samples collected over 1 week per year from 2011 to 2017. Catchment areas of 143 wastewater treatment plants in 120 cities in 37 countries. Parent substances (amphetamine, methamphetamine and MDMA) and the metabolites of cocaine (benzoylecgonine) and of Δ9 -tetrahydrocannabinol (11-nor-9-carboxy-Δ9 -tetrahydrocannabinol) were measured in wastewater using liquid chromatography-tandem mass spectrometry. Daily mass loads (mg/day) were normalized to catchment population (mg/1000 people/day) and converted to the number of combined doses consumed per day. Spatial differences were assessed world-wide, and temporal trends were discerned at European level by comparing 2011-13 drug loads versus 2014-17 loads. Benzoylecgonine was the stimulant metabolite detected at higher loads in southern and western Europe, and amphetamine, MDMA and methamphetamine in East and North-Central Europe. In other continents, methamphetamine showed the highest levels in the United States and Australia and benzoylecgonine in South America. During the reporting period, benzoylecgonine loads increased in general across Europe, amphetamine and methamphetamine levels fluctuated and MDMA underwent an intermittent upsurge. The analysis of wastewater to quantify drug loads provides near real-time drug use estimates that globally correspond to prevalence and seizure data.
Published: 2020

35. Immunization prevents DDT buildup in mouse tissues

Author: Hrafnkelsdottir, Kolbrun, Valgeirsson, Jon, Bjarnadottir, Sesselja, Olafsdottir, Sigridur, Olafsdottir, Kristin, Hedinsdottir, Sigurlina T., Magnusdottir, Elin V., and Gizurarson, Sveinbjorn
Published: 2007
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36. Persistent organochlorines, sedentary occupation, obesity and human male subfertility

Author: Magnusdottir, Elin V., Thorsteinsson, Tanja, Thorsteinsdottir, Sigridur, Heimisdottir, Maria, and Olafsdottir, Kristin
Published: 2005

37. Spatio‐temporal assessment of illicit drug use at large scale: evidence from 7 years of international wastewater monitoring

Author: González‐Mariño, Iria, primary, Baz‐Lomba, Jose Antonio, additional, Alygizakis, Nikiforos A., additional, Andrés‐Costa, Maria Jesús, additional, Bade, Richard, additional, Bannwarth, Anne, additional, Barron, Leon P., additional, Been, Frederic, additional, Benaglia, Lisa, additional, Berset, Jean‐Daniel, additional, Bijlsma, Lubertus, additional, Bodík, Igor, additional, Brenner, Asher, additional, Brock, Andreas L., additional, Burgard, Daniel A., additional, Castrignanò, Erika, additional, Celma, Alberto, additional, Christophoridis, Christophoros E., additional, Covaci, Adrian, additional, Delémont, Olivier, additional, de Voogt, Pim, additional, Devault, Damien A., additional, Dias, Mário J., additional, Emke, Erik, additional, Esseiva, Pierre, additional, Fatta‐Kassinos, Despo, additional, Fedorova, Ganna, additional, Fytianos, Konstantinos, additional, Gerber, Cobus, additional, Grabic, Roman, additional, Gracia‐Lor, Emma, additional, Grüner, Stefan, additional, Gunnar, Teemu, additional, Hapeshi, Evroula, additional, Heath, Ester, additional, Helm, Björn, additional, Hernández, Félix, additional, Kankaanpaa, Aino, additional, Karolak, Sara, additional, Kasprzyk‐Hordern, Barbara, additional, Krizman‐Matasic, Ivona, additional, Lai, Foon Yin, additional, Lechowicz, Wojciech, additional, Lopes, Alvaro, additional, López de Alda, Miren, additional, López‐García, Ester, additional, Löve, Arndís S. C., additional, Mastroianni, Nicola, additional, McEneff, Gillian L., additional, Montes, Rosa, additional, Munro, Kelly, additional, Nefau, Thomas, additional, Oberacher, Herbert, additional, O'Brien, Jake W., additional, Oertel, Reinhard, additional, Olafsdottir, Kristin, additional, Picó, Yolanda, additional, Plósz, Benedek G., additional, Polesel, Fabio, additional, Postigo, Cristina, additional, Quintana, José Benito, additional, Ramin, Pedram, additional, Reid, Malcolm J., additional, Rice, Jack, additional, Rodil, Rosario, additional, Salgueiro‐González, Noelia, additional, Schubert, Sara, additional, Senta, Ivan, additional, Simões, Susana M., additional, Sremacki, Maja M., additional, Styszko, Katarzyna, additional, Terzic, Senka, additional, Thomaidis, Nikolaos S., additional, Thomas, Kevin V., additional, Tscharke, Ben J., additional, Udrisard, Robin, additional, van Nuijs, Alexander L. N., additional, Yargeau, Viviane, additional, Zuccato, Ettore, additional, Castiglioni, Sara, additional, and Ort, Christoph, additional
Published: 2019
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38. Levels and trends of contaminants in humans

Author: Gibson, Jennifer C., Adlard, Bryan, Olafsdottir, Kristin, Sandanger, Torkjel M., Berner, James, Chan, Laurie Hing Man, Dewailly, Eric, Ayotte, Pierre, St.-Amand, Annie, Bonefeld-Jørgensen, Eva Cecilie, Long, Manhai, Toft, Gunnar, Bjerregaard, Peter, Nielsen, Nina, Weihe, Pál, Petersen, Maria Skaalum, Halling, Jonrit, Odland, Jon Øyvind, Hedlund, Britta, Bergdahl, Ingvar, Rautio, Arja, and Dudarev, Alexey
Published: 2015

39. Temporal trends of Persistent Organic Pollutants (POPs) in arctic air: 20 years of monitoring under the Arctic Monitoring and Assessment Programme (AMAP)

Author: Hung, Hayley, primary, Katsoyiannis, Athanasios A., additional, Brorström-Lundén, Eva, additional, Olafsdottir, Kristin, additional, Aas, Wenche, additional, Breivik, Knut, additional, Bohlin-Nizzetto, Pernilla, additional, Sigurdsson, Arni, additional, Hakola, Hannele, additional, Bossi, Rossana, additional, Skov, Henrik, additional, Sverko, Ed, additional, Barresi, Enzo, additional, Fellin, Phil, additional, and Wilson, Simon, additional
Published: 2016
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40. Levels and trends of contaminants in humans of the Arctic

Author: Gibson, Jennifer, primary, Adlard, Bryan, additional, Olafsdottir, Kristin, additional, Sandanger, Torkjel Manning, additional, and Odland, Jon Øyvind, additional
Published: 2016
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41. Obstructive sleep apnoea in the general population: highly prevalent but minimal symptoms

Author: Arnardottir, Erna S., primary, Bjornsdottir, Erla, additional, Olafsdottir, Kristin A., additional, Benediktsdottir, Bryndis, additional, and Gislason, Thorarinn, additional
Published: 2015
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42. THE ROLE OF GLUTATHIONE IN MITOCHONDRIA

Author: Reed, Donald J., primary and Olafsdottir, Kristin, additional
Published: 1989
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43. Temporal trends of contaminants in cod from Icelandic waters

Author: Sturludottir, Erla, primary, Gunnlaugsdottir, Helga, additional, Jorundsdottir, Hronn O., additional, Magnusdottir, Elin V., additional, Olafsdottir, Kristin, additional, and Stefansson, Gunnar, additional
Published: 2014
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44. Influence of wintering area on persistent organic pollutants in a breeding migratory seabird

Author: Leat, Eliza HK, Bourgeon, Sophie, Magnusdottir, Ellen, Gabrielsen, Geir W., Grecian, W. James, Hanssen, Sveinn A., Olafsdottir, Kristin, Petersen, Aevar, Phillips, Richard A., Strøm, Hallvard, Ellis, Sandra, Fisk, Aaron T., Bustnes, Jan Ove, Furness, Robert W., Borgå, Katrine, Leat, Eliza HK, Bourgeon, Sophie, Magnusdottir, Ellen, Gabrielsen, Geir W., Grecian, W. James, Hanssen, Sveinn A., Olafsdottir, Kristin, Petersen, Aevar, Phillips, Richard A., Strøm, Hallvard, Ellis, Sandra, Fisk, Aaron T., Bustnes, Jan Ove, Furness, Robert W., and Borgå, Katrine
Abstract: As apex marine predators, seabirds are often sampled to monitor bioaccumulative persistent organic pollutants (POPs) in the marine environment. Despite the restrictions on use and production of many POPs, concern remains about levels of these chemicals present in marine biota due to their potential toxicity. Many seabird species are migratory, and although overwintering area has been hypothesized to affect the accumulation of POPs, few have studied the contribution of exposure in the wintering area on the POP burdens of seabirds. This study investigated the impact of wintering area on concentrations and patterns of organochlorines (OCs) and polybrominated diphenyl ethers (PBDEs) in plasma of breeding great skuas Stercorarius skua from 3 colonies; Bjørnøya (Svalbard), southeast Iceland and Shetland (Scotland). To do so, stable isotope values of primary feathers grown during the winter were used in conjunction with geolocator data (n = 16) to assign untracked individuals (n = 122), to 3 wintering areas (America, Europe and Africa). Birds wintering in Africa had lower plasma concentrations of many OCs and PBDE 47 compared to the other areas. Nevertheless, the influence of wintering area differed between contaminants and between breeding colonies. We conclude that although wintering area had a significant effect on both concentrations and patterns of POPs, its influence was small in comparison to differences in exposure to these pollutants at breeding colonies, but that accumulation of POPs during the winter may be important for specific populations of seabirds.
Published: 2013

45. Organohalogen contaminants and blood plasma clinical-chemical parameters in three colonies of North Atlantic Great skua (Stercorarius skua)

Author: Sonne, Christian, Riget, Frank Farsø, Leat, Eliza H. K., Bourgeon, Sophie, Borgå, Katrine, Strøm, Hallvard, Hanssen, Sveinn A., Gabrielsen, Geir W., Petersen, Aevar, Olafsdottir, Kristin, Magnusdottir, Ellen, Bustnes, Jan O., Furness, Robert W., Kjelgaard-Hansen, Mads, Sonne, Christian, Riget, Frank Farsø, Leat, Eliza H. K., Bourgeon, Sophie, Borgå, Katrine, Strøm, Hallvard, Hanssen, Sveinn A., Gabrielsen, Geir W., Petersen, Aevar, Olafsdottir, Kristin, Magnusdottir, Ellen, Bustnes, Jan O., Furness, Robert W., and Kjelgaard-Hansen, Mads
Abstract: The present study compares blood plasma clinical-chemical parameters (BCCPs) in birds from three geographically distinct North Atlantic Great skua (Stercorarius skua) colonies. Birds from these sites bioaccumulate different POP (persistent organic pollutant) concentrations and that enabled us to compare Great skua BCCPs in different exposure scenarios. Persistent organic pollutants (organochlorines: PCB, DDT, chlordanes, HCB, HCH, mirex and brominated flame retardants: PBDEs) and nineteen BCCPs were analysed in 114 adult Great skuas sampled during summer 2009 in North Atlantic colonies at Bjørnøya (n=42), Iceland (n=57) and Shetland (n=15). Specimens from Bjørnøya had the highest blood plasma concentrations of all contaminant groups followed by Iceland and Shetland birds, respectively (ANOVA: p0.05). Therefore correlation analyses of these seven BCCPs vs. POPs were done on the combined colony data while the analyses of the remaining 12 BCCPs were carried out for each colony separately. The analyses of combined colony data showed that the blood plasma concentration of liver enzymes ALAT and GGT increased with increasing concentrations of SPBDE and SHCH, HCB and SCHL, respectively (all Pearson's p
Published: 2013

46. EU Maximum Levels for Dioxins and Dioxin-like PCBs: – Impact on Exposure and Food Supply in the Nordic Countries

Author: Louise Wiborg, Marie, Katrine Knutsen, Helle, Andersson, Östen, Büchert, Arne, Cederberg, Tommy, Ola Darnerud, Per, Hallikainen, Anja, Kiviranta, Hannu, Ólafsdóttir, Kristín, Peters, Kim, Louise Wiborg, Marie, Katrine Knutsen, Helle, Andersson, Östen, Büchert, Arne, Cederberg, Tommy, Ola Darnerud, Per, Hallikainen, Anja, Kiviranta, Hannu, Ólafsdóttir, Kristín, and Peters, Kim
Published: 2008

47. Organohalogen contaminants and Blood plasma clinical–chemical parameters in three colonies of North Atlantic Great skua (Stercorarius skua)

Author: Sonne, Christian, primary, Rigét, Frank F., additional, Leat, Eliza H.K., additional, Bourgeon, Sophie, additional, Borgå, Katrine, additional, Strøm, Hallvard, additional, Hanssen, Sveinn A., additional, Gabrielsen, Geir W., additional, Petersen, Aevar, additional, Olafsdottir, Kristin, additional, Magnusdottir, Ellen, additional, Bustnes, Jan O., additional, Furness, Robert W., additional, and Kjelgaard-Hansen, Mads, additional
Published: 2013
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48. Spatial and temporal trends of contaminants in mussel sampled around the Icelandic coastline

Author: Sturludottir, Erla, primary, Gunnlaugsdottir, Helga, additional, Jorundsdottir, Hronn O., additional, Magnusdottir, Elin V., additional, Olafsdottir, Kristin, additional, and Stefansson, Gunnar, additional
Published: 2013
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49. Effects of environmental exposure and diet on levels of persistent organic pollutants (POPs) in eggs of a top predator in the North Atlantic in 1980 and 2008

Author: Leat, Eliza H.K., primary, Bourgeon, Sophie, additional, Borgå, Katrine, additional, Strøm, Hallvard, additional, Hanssen, Sveinn A., additional, Gabrielsen, Geir W., additional, Petersen, Ævar, additional, Olafsdottir, Kristin, additional, Magnusdottir, Ellen, additional, Fisk, Aaron T., additional, Ellis, Sandra, additional, Bustnes, Jan O., additional, and Furness, Robert W., additional
Published: 2011
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50. Atmospheric monitoring of organic pollutants in the Arctic under the Arctic Monitoring and Assessment Programme (AMAP): 1993–2006

Author: Hung, Hayley, primary, Kallenborn, Roland, additional, Breivik, Knut, additional, Su, Yushan, additional, Brorström-Lundén, Eva, additional, Olafsdottir, Kristin, additional, Thorlacius, Johanna M., additional, Leppänen, Sirkka, additional, Bossi, Rossana, additional, Skov, Henrik, additional, Manø, Stein, additional, Patton, Gregory W., additional, Stern, Gary, additional, Sverko, Ed, additional, and Fellin, Phil, additional
Published: 2010
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