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- Creator:
- Schulte, Erica M
- Description:
- The data set supports a study investigating which foods may be most implicated in addictive-like eating by examining how nutritionally diverse foods relate to loss of control consumption and various subjective effect reports. Participants (n = 501) self-reported how likely they were to experience a loss of control over their consumption of 30 nutritionally diverse foods and rated each food on five subjective effect report questions that assess the abuse liability of substances (liking, pleasure, craving, averseness, intensity). Hierarchical cluster analytic techniques were used to examine how foods grouped together based on each question. Highly processed foods, with added fats and/or refined carbohydrates, clustered together and were associated with greater loss of control, liking, pleasure, and craving. The clusters yielded from the subjective effect reports assessing liking, pleasure, and craving were most similar to clusters formed based on loss of control over consumption, whereas the clusters yielded from averseness and intensity did not meaningfully differentiate food items. The associated study applies methodology used to assess the abuse liability of substances to understand whether foods may vary in their potential to be associated with addictive-like consumption. Highly processed foods (e.g., pizza, chocolate) appear to be most related to an indicator of addictive-like eating (loss of control) and several subjective effect reports (liking, pleasure, craving). Thus, these foods may be particularly reinforcing and capable of triggering an addictive-like response in some individuals. Future research is warranted to understand whether highly processed foods are related to these indicators of abuse liability at a similar magnitude as addictive substances. The data set is presented in both .sav format for use with SPSS software and in csv format.
- Keyword:
- Behavioral Addiction and Food Consumption
- Citation to related publication:
- Schulte EM, Smeal JK, Gearhardt AN (2017) Foods are differentially associated with subjective effect report questions of abuse liability. PLoS ONE 12(8): e0184220. https://doi.org/10.1371/journal.pone.0184220
- Discipline:
- Social Sciences
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- Creator:
- Okullo, Dolorence, Gomez-Lopez, Iris N., Goodspeed, Robert, Reddy, Shruthi, Veinot, Tiffany C, Clarke, Phillipa J., and Data Driven Detroit
- Description:
- The information and education environment refers to: 1) the presence of information infrastructures such as broadband Internet access and public libraries in a location; 2) a person’s proximity to information infrastructures and sources; 3) the distribution of information infrastructures, sources and in a specific location; and 4) exposure to specific messages (information content) within a specific location. Coverage for all data: 10-county Detroit-Warren-Ann Arbor Combined Statistical Area.
- Keyword:
- Residential Broadband Data Adoption Rates, Census tract level, Broadband Internet Access and Speed, Colleges and Universities, Public Libraries, Spatial Measures, and Schools
- Discipline:
- Science, Social Sciences, and Health Sciences
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- Creator:
- Okullo, Dolorence, Yan, Xiang (Jacob), Data Driven Detroit, Veinot, Tiffany C., Gomez-Lopez, Iris N., and Goodspeed, Robert
- Description:
- The food environment is: 1) The physical presence of food that affects a person’s diet; 2) A person’s proximity to food store locations; 3) The distribution of food stores, food service, and any physical entity by which food may be obtained; or 4) A connected system that allows access to food. (Source: https://www.cdc.gov/healthyplaces/healthtopics/healthyfood/general.htm) Data included here concern: 1) Food access; and 2) Liquor access. Spatial Coverage for most data: 10-county Detroit-Warren-Ann Arbor Combined Statistical Area, Michigan, USA. See exception for grocery store data below.
- Keyword:
- Food Deserts, Census tract level, Full-Line Grocery Stores, Modified Retail Food Environment Index (MRFEI), Farmer’s Markets, Spatial Measures, and Fast Food Establishments
- Discipline:
- Social Sciences, Health Sciences, and Other
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- Creator:
- Wellman, Michael P.
- Description:
- For each game: - file in JSON format with raw payoff data - text file with game-theoretic analysis results
- Discipline:
- Social Sciences
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- Creator:
- Reference USA, City of Detroit, ESRI, Data Driven Detroit, and Veinot, Tiffany C.
- Description:
- Active living resources include spaces and organizations that facilitate physical activity, including 1) park land, 2) recreation areas (including parks, golf courses, amusement parks, beaches and other recreational landmarks); and 3) recreation centers (including gyms, dancing instruction, martial arts instruction, bowling centers, yoga instruction, sports clubs, fitness programs, golf course, pilates instruction, personal trainers, swimming pools, skating rinks, etc.) Coverage for all data: 10-county Detroit-Warren-Ann Arbor Combined Statistical Area.
- Keyword:
- Recreation Areas, Park Land, Census tract level, Metropolitan Detroit, Spatial Measures, Recreation Centers, and Michigan
- Discipline:
- Health Sciences, Social Sciences, and Other
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- Creator:
- Data-Driven Detroit, Goodspeed, Robert, Reference U.S.A., Veinot, Tiffany C., Yan, Xiang, State of Michigan Department of Elections, and Okullo, Dolorence
- Description:
- The Social Environment refers to characteristics of the people and institutions in a census tract, including: 1) Religious organizations (churches and places of worship); and 2) Voter turnout for the 2012 Presidential Election. Coverage for all data: 10-county Detroit-Warren-Ann Arbor Combined Statistical Area.
- Keyword:
- Voter Turnout, Religious Institutions, Spatial Measures, and Census Tract Level
- Discipline:
- Health Sciences and Social Sciences
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- Creator:
- Ottaviani, Jim
- Description:
- This random sample of OA articles comes from Deep Blue <deepblue.lib.umich.edu/documents>, the University of Michigan’s institutional repository service. Each OA article has the following characteristics: Prior to a known date (ranging from 2006 to the 2013) these articles—the final published version—were only available by subscription. After that date, they became freely available via Deep Blue. Meanwhile, other articles from the same journal issue as the now-OA article continued to only be available to subscribers. None of the OA articles were self-selected; authors did not choose to deposit the articles in question in Deep Blue, since we made them open via blanket licensing agreements between the publishers and the library.
- Keyword:
- Open access publishing, Scientific publishing, Citation analysis, and Institutional repositories
- Citation to related publication:
- Ottaviani J (2016) The Post-Embargo Open Access Citation Advantage: It Exists (Probably), It’s Modest (Usually), and the Rich Get Richer (of Course). PLoS ONE 11(8): e0159614. https://doi.org/10.1371/journal.pone.0159614
- Discipline:
- Social Sciences
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- Creator:
- Atwell, Jon
- Description:
- The data file is json formatted and all fields are named descriptively. The code is written in Python 2.7 and is heavily commented.
- Keyword:
- inequality and coadaptation
- Citation to related publication:
- Atwell J, Savit R (2016) The Emergence of Groups and Inequality through Co-Adaptation. PLoS ONE 11(6): e0158144. https://doi.org/10.1371/journal.pone.0158144
- Discipline:
- Social Sciences and Science
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- Creator:
- Gainsburg, Izzy and Earl, Allison
- Description:
- This research explores trigger warnings as an interpersonal emotion-regulation strategy, introducing a temporal dimension to interpersonal emotion-regulation by regulating others' future, anticipated emotions. Across studies, believing that trigger warnings are protective (versus coddling) increased their effect on anticipated negative affect, but weakened their effect on experienced negative affect. Study 1 demonstrated that anticipated anxiety for warned-of content predicts intentions to avoid information. Furthermore, beliefs about trigger warnings as protective (versus coddling) best predicted anticipated anxiety for warned-of content and subsequent intentions to avoid. In Study 2, participants had higher anticipated negative affect for videos with trigger warnings, compared to those without, and this mediated increased avoidance for warned-of videos. In Study 3, trigger warnings preceding essays increased anticipated negative affect and attentional-regulation strategies, but reduced experiences of negative affect. For more information, please see the article Gainsburg, I., & Earl, A. (2018). Trigger warnings as an interpersonal emotion-regulation tool: Avoidance, attention, and affect depend on beliefs. Journal of Experimental Social Psychology, 79, 252–263. https://doi.org/10.1016/j.jesp.2018.08.006
- Citation to related publication:
- Gainsburg, I., & Earl, A. (2018). Trigger warnings as an interpersonal emotion-regulation tool: Avoidance, attention, and affect depend on beliefs. Journal of Experimental Social Psychology, 79, 252–263. https://doi.org/10.1016/j.jesp.2018.08.006
- Discipline:
- Social Sciences