@misc{MarksMuschHaussigetal.2018,
  author    = {Marks, Richard G. and Musch, Sebastian and Haußig, Hans-Michael and Weiss, Aleš and Albeck-Gidron, Rachel and Sigalow, Emily and Ariel, Yaakov S. and Niculescu, Mira and Landau, David and Rageth, Nina and Ichikawa, Hiroshi and Rohland, Eva and Czendze, Oskar and Reich, Tamar Chana and Schulz, Michael Karl and Arnold, Rafael D. and Anderl, Gabriele and Gempp-Friedrich, Tilmann and Liu, Yongqiang and Battenberg, J. Friedrich and Reichert, Carmen and Riemer, Nathanael and Krah, Markus and Thulin, Mirjam},
  title     = {PaRDeS : Zeitschrift der Vereinigung f{\"u}r J{\"u}dische Studien = JewBus, Jewish Hindus \& other Jewish Encounters with East Asian Religions},
  series = {PaRDeS},
  journal   = {PaRDeS},
  number    = {23},
  editor    = {Riemer, Nathanael and Albeck-Gidron, Rachel and Krah, Markus},
  publisher = {Universit{\"a}tsverlag Potsdam},
  address   = {Potsdam},
  isbn      = {978-3-86956-418-0},
  issn      = {1614-6492},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-402536},
  year      = {2018},
  abstract  = {PaRDeS. Zeitschrift der Vereinigung f{\"u}r J{\"u}dische Studien e.V., m{\"o}chte die fruchtbare und facettenreiche Kultur des Judentums sowie seine Ber{\"u}hrungspunkte zur Umwelt in den unterschiedlichen Bereichen dokumentieren. Daneben dient die Zeitschrift als Forum zur Positionierung der F{\"a}cher J{\"u}dische Studien und Judaistik innerhalb des wissenschaftlichen Diskurses sowie zur Diskussion ihrer historischen und gesellschaftlichen Verantwortung.},
  language  = {de}
}
@misc{DeekenReichertZechetal.,
  author    = {Deeken, Friederike and Reichert, Markus and Zech, Hilmar and Wenzel, Julia and Wedemeyer, Friederike and Aguilera, Alvaro and Aslan, Acelya and Bach, Patrick and Bahr, Nadja Samia and Ebrahimi, Claudia and Fischbach, Pascale Christine and Ganz, Marvin and Garbusow, Maria and Großkopf, Charlotte M. and Heigert, Marie and Hentschel, Angela and Karl, Damian and Pelz, Patricia and Pinger, Mathieu and Riemerschmid, Carlotta and Rosenthal, Annika and Steffen, Johannes and Strehle, Jens and Weiss, Franziska and Wieder, Gesine and Wieland, Alfred and Zaiser, Judith and Zimmermann, Sina and Walter, Henrik and Lenz, Bernd and Deserno, Lorenz and Smolka, Michael N. and Liu, Shuyan and Ebner-Priemer, Ulrich Walter and Heinz, Andreas and Rapp, Michael A.},
  title     = {Patterns of Alcohol Consumption Among Individuals With Alcohol Use Disorder During the COVID-19 Pandemic and Lockdowns in Germany},
  series = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Humanwissenschaftliche Reihe},
  journal   = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Humanwissenschaftliche Reihe},
  number    = {805},
  issn      = {1866-8364},
  doi       = {10.25932/publishup-57146},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-571460},
  pages     = {11},
  abstract  = {Importance Alcohol consumption (AC) leads to death and disability worldwide. Ongoing discussions on potential negative effects of the COVID-19 pandemic on AC need to be informed by real-world evidence. Objective To examine whether lockdown measures are associated with AC and consumption-related temporal and psychological within-person mechanisms. Design, Setting, and Participants This quantitative, intensive, longitudinal cohort study recruited 1743 participants from 3 sites from February 20, 2020, to February 28, 2021. Data were provided before and within the second lockdown of the COVID-19 pandemic in Germany: before lockdown (October 2 to November 1, 2020); light lockdown (November 2 to December 15, 2020); and hard lockdown (December 16, 2020, to February 28, 2021). Main Outcomes and Measures Daily ratings of AC (main outcome) captured during 3 lockdown phases (main variable) and temporal (weekends and holidays) and psychological (social isolation and drinking intention) correlates. Results Of the 1743 screened participants, 189 (119 [63.0\%] male; median [IQR] age, 37 [27.5-52.0] years) with at least 2 alcohol use disorder (AUD) criteria according to the Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition) yet without the need for medically supervised alcohol withdrawal were included. These individuals provided 14 694 smartphone ratings from October 2020 through February 2021. Multilevel modeling revealed significantly higher AC (grams of alcohol per day) on weekend days vs weekdays (β = 11.39; 95\% CI, 10.00-12.77; P < .001). Alcohol consumption was above the overall average on Christmas (β = 26.82; 95\% CI, 21.87-31.77; P < .001) and New Year's Eve (β = 66.88; 95\% CI, 59.22-74.54; P < .001). During the hard lockdown, perceived social isolation was significantly higher (β = 0.12; 95\% CI, 0.06-0.15; P < .001), but AC was significantly lower (β = -5.45; 95\% CI, -8.00 to -2.90; P = .001). Independent of lockdown, intention to drink less alcohol was associated with lower AC (β = -11.10; 95\% CI, -13.63 to -8.58; P < .001). Notably, differences in AC between weekend and weekdays decreased both during the hard lockdown (β = -6.14; 95\% CI, -9.96 to -2.31; P = .002) and in participants with severe AUD (β = -6.26; 95\% CI, -10.18 to -2.34; P = .002). Conclusions and Relevance This 5-month cohort study found no immediate negative associations of lockdown measures with overall AC. Rather, weekend-weekday and holiday AC patterns exceeded lockdown effects. Differences in AC between weekend days and weekdays evinced that weekend drinking cycles decreased as a function of AUD severity and lockdown measures, indicating a potential mechanism of losing and regaining control. This finding suggests that temporal patterns and drinking intention constitute promising targets for prevention and intervention, even in high-risk individuals.},
  language  = {en}
}
@article{DeekenReichertZechetal.2022,
  author    = {Deeken, Friederike and Reichert, Markus and Zech, Hilmar and Wenzel, Julia and Wedemeyer, Friederike and Aguilera, Alvaro and Aslan, Acelya and Bach, Patrick and Bahr, Nadja Samia and Ebrahimi, Claudia and Fischbach, Pascale Christine and Ganz, Marvin and Garbusow, Maria and Großkopf, Charlotte M. and Heigert, Marie and Hentschel, Angela and Karl, Damian and Pelz, Patricia and Pinger, Mathieu and Riemerschmid, Carlotta and Rosenthal, Annika and Steffen, Johannes and Strehle, Jens and Weiss,, Franziska and Wieder, Gesine and Wieland, Alfred and Zaiser, Judith and Zimmermann, Sina and Walter, Henrik and Lenz, Bernd and Deserno, Lorenz and Smolka, Michael N. and Liu, Shuyan and Ebner-Priemer, Ulrich Walter and Heinz, Andreas and Rapp, Michael A.},
  title     = {Patterns of Alcohol Consumption Among Individuals With Alcohol Use Disorder During the COVID-19 Pandemic and Lockdowns in Germany},
  series = {JAMA Network Open},
  volume    = {5},
  journal   = {JAMA Network Open},
  edition   = {8},
  publisher = {JAMA Network / American Medical Association},
  address   = {Chicago, Illinois, USA},
  issn      = {2574-3805},
  doi       = {10.1001/jamanetworkopen.2022.24641},
  pages     = {1 -- 11},
  year      = {2022},
  abstract  = {Importance Alcohol consumption (AC) leads to death and disability worldwide. Ongoing discussions on potential negative effects of the COVID-19 pandemic on AC need to be informed by real-world evidence. Objective To examine whether lockdown measures are associated with AC and consumption-related temporal and psychological within-person mechanisms. Design, Setting, and Participants This quantitative, intensive, longitudinal cohort study recruited 1743 participants from 3 sites from February 20, 2020, to February 28, 2021. Data were provided before and within the second lockdown of the COVID-19 pandemic in Germany: before lockdown (October 2 to November 1, 2020); light lockdown (November 2 to December 15, 2020); and hard lockdown (December 16, 2020, to February 28, 2021). Main Outcomes and Measures Daily ratings of AC (main outcome) captured during 3 lockdown phases (main variable) and temporal (weekends and holidays) and psychological (social isolation and drinking intention) correlates. Results Of the 1743 screened participants, 189 (119 [63.0\%] male; median [IQR] age, 37 [27.5-52.0] years) with at least 2 alcohol use disorder (AUD) criteria according to the Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition) yet without the need for medically supervised alcohol withdrawal were included. These individuals provided 14 694 smartphone ratings from October 2020 through February 2021. Multilevel modeling revealed significantly higher AC (grams of alcohol per day) on weekend days vs weekdays (β = 11.39; 95\% CI, 10.00-12.77; P < .001). Alcohol consumption was above the overall average on Christmas (β = 26.82; 95\% CI, 21.87-31.77; P < .001) and New Year's Eve (β = 66.88; 95\% CI, 59.22-74.54; P < .001). During the hard lockdown, perceived social isolation was significantly higher (β = 0.12; 95\% CI, 0.06-0.15; P < .001), but AC was significantly lower (β = -5.45; 95\% CI, -8.00 to -2.90; P = .001). Independent of lockdown, intention to drink less alcohol was associated with lower AC (β = -11.10; 95\% CI, -13.63 to -8.58; P < .001). Notably, differences in AC between weekend and weekdays decreased both during the hard lockdown (β = -6.14; 95\% CI, -9.96 to -2.31; P = .002) and in participants with severe AUD (β = -6.26; 95\% CI, -10.18 to -2.34; P = .002). Conclusions and Relevance This 5-month cohort study found no immediate negative associations of lockdown measures with overall AC. Rather, weekend-weekday and holiday AC patterns exceeded lockdown effects. Differences in AC between weekend days and weekdays evinced that weekend drinking cycles decreased as a function of AUD severity and lockdown measures, indicating a potential mechanism of losing and regaining control. This finding suggests that temporal patterns and drinking intention constitute promising targets for prevention and intervention, even in high-risk individuals.},
  language  = {en}
}
@article{ZechReichertEbnerPriemeretal.2022,
  author    = {Zech, Hilmar G. and Reichert, Markus and Ebner-Priemer, Ulrich W. and Tost, Heike and Rapp, Michael A. and Heinz, Andreas and Dolan, Raymond J. and Smolka, Michael N. and Deserno, Lorenz},
  title     = {Mobile data collection of cognitive-behavioral tasks in substance use disorders: Where are we now?},
  series = {Neuropsychobiology},
  volume    = {81},
  journal   = {Neuropsychobiology},
  number    = {5},
  publisher = {Karger},
  address   = {Basel},
  issn      = {0302-282X},
  doi       = {10.1159/000523697},
  pages     = {438 -- 450},
  year      = {2022},
  abstract  = {Introduction: Over the last decades, our understanding of the cognitive, motivational, and neural processes involved in addictive behavior has increased enormously. A plethora of laboratory-based and cross-sectional studies has linked cognitive-behavioral measures to between-subject differences in drinking behavior. However, such laboratory-based studies inevitably suffer from small sample sizes and the inability to link temporal fluctuations in task measures to fluctuations in real-life substance use. To overcome these problems, several existing behavioral tasks have been transferred to smartphones to allow studying cognition in the field. Method: In this narrative review, we first summarize studies that used existing behavioral tasks in the laboratory and self-reports of substance use with ecological momentary assessment (EMA) in the field. Next, we review studies on psychometric properties of smartphone-based behavioral tasks. Finally, we review studies that used both smartphone-based tasks and self-reports with EMA in the field. Results: Overall, studies were scarce and heterogenous both in tasks and in study outcomes. Nevertheless, existing findings are promising and point toward several methodological recommendations: concerning psychometrics, studies show that - although more systematic studies are necessary - task validity and reliability can be improved, for example, by analyzing several measurement sessions at once rather than analyzing sessions separately. Studies that use tasks in the field, moreover, show that power can be improved by choosing sampling schemes that combine time-based with event-based sampling, rather than relying on time-based sampling alone. Increasing sampling frequency can further increase power. However, as this also increases the burden to participants, more research is necessary to determine the ideal sampling frequency for each task. Conclusion: Although more research is necessary to systematically study both the psychometrics of smartphone-based tasks and the frequency at which task measures fluctuate, existing studies are promising and reveal important methodological recommendations useful for researchers interested in implementing behavioral tasks in EMA studies.},
  language  = {en}
}