Results 61 to 70 of about 4,568,665 (381)

Preliminary support for the role of alcohol cues in food cravings and attentional biases [PDF]

, 2019
This study examined whether alcohol odors, in isolation or when combined with pictures, would influence food attentional biases and cravings. Participants' cravings and attentional biases to food and alcohol pictures were assessed after exposure to ...
Cyders, Melissa A., Karyadi, Kenny A.
core   +1 more source

The relationship between different dimensions of alcohol use and the burden of disease—an update

Addiction, 2017
Background and aims Alcohol use is a major contributor to injuries, mortality and the burden of disease. This review updates knowledge on risk relations between dimensions of alcohol use and health outcomes to be used in global and national Comparative ...
J. Rehm, G. Gmel, G. Gmel, O. Hasan, Sameer Imtiaz, S. Popova, C. Probst, M. Roerecke, R. Room, A. Samokhvalov, K. Shield, P. Shuper   +11 more
semanticscholar   +1 more source

Alcohol and alcoholism. [PDF]

BMJ, 1982
  +13 more sources

Comparative approaches for assessing access to alcohol outlets: exploring the utility of a gravity potential approach. [PDF]

, 2016
BackgroundA growing body of research recommends controlling alcohol availability to reduce harm. Various common approaches, however, provide dramatically different pictures of the physical availability of alcohol.
Grubesic, Tony H, Murray, Alan T, Pridemore, William Alex, Wei, Ran   +3 more
core   +1 more source

Diagnosis and Pharmacotherapy of Alcohol Use Disorder: A Review

Journal of the American Medical Association (JAMA), 2018
Importance Alcohol consumption is associated with 88 000 US deaths annually. Although routine screening for heavy alcohol use can identify patients with alcohol use disorder (AUD) and has been recommended, only 1 in 6 US adults report ever having been ...
H. Kranzler, M. Soyka
semanticscholar   +1 more source

From omics to AI—mapping the pathogenic pathways in type 2 diabetes

FEBS Letters, EarlyView.
Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan, Lu Qi, Pierre Zalloua   +2 more
wiley   +1 more source

Collectivity of Drinking Behavior Among Adolescents: An Analysis of the Norwegian ESPAD Data 1995-2011

Nordic Studies on Alcohol and Drugs, 2014
AIMS – The aim of the current study was to test empirically two predictions from Skog’s theory of collectivity of drinking behavior, using time series data from Norwegian adolescents.
Brunborg Geir Scott, Bye Elin K., Rossow Ingeborg   +2 more
doaj   +1 more source

Cannabis use frequency, route of administration, and co-use with alcohol among older adults in Washington state

Journal of Cannabis Research, 2021
Background The US national surveys and data from legal adult use cannabis states show increases in the prevalence of cannabis use among older adults, though little is known about their manner of cannabis consumption.
Meenakshi S. Subbaraman, William C. Kerr
doaj   +1 more source

Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries

PLoS ONE, 2018
Heavy alcohol consumption is an established risk factor for hypertension; the mechanism by which alcohol consumption impact blood pressure (BP) regulation remains unknown.
M. Feitosa, A. Kraja, D. Chasman, Y. Sung, T. Winkler, I. Ntalla, Xiuqing Guo, N. Franceschini, Ching-Yu Cheng, X. Sim, D. Vojinovic, J. Marten, S. Musani, Changwei Li, A. Bentley, Michael R. Brown, K. Schwander, Melissa A. Richard, R. Noordam, H. Aschard, Traci M. Bartz, L. Bielak, R. Dorajoo, Virginia Fisher, F. Hartwig, A. Horimoto, K. Lohman, A. Manning, T. Rankinen, A. Smith, S. Tajuddin, M. Wojczynski, Maris Alver, M. Boissel, Q. Cai, A. Campbell, Jin-Fang Chai, Xu Chen, J. Divers, Chuan Gao, A. Goel, Y. Hagemeijer, S. Harris, M. He, F. Hsu, A. Jackson, M. Kähönen, A. Kasturiratne, P. Komulainen, Brigitte Kühnel, F. Laguzzi, J. Luan, N. Matoba, I. Nolte, S. Padmanabhan, Muhammad B. Riaz, R. Rueedi, A. Robino, M. A. Said, R. Scott, T. Sofer, A. Stančáková, F. Takeuchi, B. Tayo, Peter J. van der Most, T. Varga, V. Vitart, Yajuan Wang, E. Ware, H. Warren, S. Weiss, W. Wen, L. Yanek, Weihua Zhang, Jinghua Zhao, S. Afaq, N. Amin, M. Amini, D. Arking, T. Aung, E. Boerwinkle, I. Borecki, U. Broeckel, Morris J. Brown, M. Brumat, G. Burke, M. Canouil, A. Chakravarti, S. Charumathi, Y. Ida Chen, J. Connell, A. Correa, L. de las Fuentes, R. de Mutsert, H. J. de Silva, Xuan Deng, Jingzhong Ding, Qing Duan, C. Eaton, G. Ehret, R. N. Eppinga, E. Evangelou, J. Faul, S. Felix, N. Forouhi, T. Forrester, O. Franco, Y. Friedlander, I. Gandin, He Gao, M. Ghanbari, B. Gigante, C. Gu, D. Gu, S. Hagenaars, G. Hallmans, T. Harris, Jiang He, S. Heikkinen, C. Heng, M. Hirata, B. Howard, M. Ikram, U. John, T. Katsuya, C. Khor, T. Kilpeläinen, W. Koh, J. Krieger, S. Kritchevsky, M. Kubo, J. Kuusisto, T. Lakka, C. Langefeld, C. Langenberg, L. Launer, B. Lehne, C. Lewis, Yize Li, Shiow J. Lin, Jianjun Liu, Jingmin Liu, M. Loh, T. Louie, R. Mägi, C. McKenzie, T. Meitinger, A. Metspalu, Y. Milaneschi, L. Milani, K. Mohlke, Y. Momozawa, M. Nalls, C. Nelson, N. Sotoodehnia, J. Norris, Jeffery R O'connell, Nicholette D. Palmer, T. Perls, N. Pedersen, A. Peters, P. Peyser, N. Poulter, L. Raffel, O. Raitakari, Kathryn Roll, L. Rose, F. Rosendaal, J. Rotter, C. Schmidt, P. Schreiner, N. Schupf, W. Scott, P. Sever, Yuan Shi, S. Sidney, M. Sims, C. Sitlani, Jennifer A. Smith, H. Snieder, J. Starr, K. Strauch, H. Stringham, N. Tan, Hua Tang, K. Taylor, Y. Teo, Y. Tham, S. Turner, A. Uitterlinden, P. Vollenweider, M. Waldenberger, Lihua Wang, Y. X. Wang, W. Wei, Christine A. Williams, Jie Yao, Caizheng Yu, Jian-Min Yuan, Wei Zhao, A. Zonderman, D. Becker, M. Boehnke, D. Bowden, J. Chambers, I. Deary, T. Esko, M. Farrall, P. Franks, B. Freedman, P. Froguel, P. Gasparini, C. Gieger, J. Jonas, Y. Kamatani, N. Kato, J. Kooner, Z. Kutalik, M. Laakso, C. Laurie, K. Leander, T. Lehtimäki, Lifelines Cohort Study, P. Magnusson, A. Oldehinkel, B. Penninx, O. Polašek, D. Porteous, R. Rauramaa, N. Samani, J. Scott, X. Shu, P. van der Harst, L. Wagenknecht, N. Wareham, H. Watkins, D. Weir, A. R. Wickremasinghe, Tangchun Wu, W. Zheng, C. Bouchard, K. Christensen, M. Evans, V. Gudnason, B. Horta, S. Kardia, Yongmei Liu, A. Pereira, B. Psaty, P. Ridker, R. V. van Dam, W. Gauderman, Xiaofeng Zhu, D. Mook-Kanamori, M. Fornage, C. Rotimi, L. Cupples, T. Kelly, E. Fox, C. Hayward, C. V. van Duijn, E. Tai, T. Wong, C. Kooperberg, W. Palmas, K. Rice, A. Morrison, P. Elliott, M. Caulfield, P. Munroe, D. Rao, M. Province, D. Levy   +272 more
semanticscholar   +1 more source

Neutrophil deficiency increases T cell numbers at the site of tissue injury in mice

FEBS Letters, EarlyView.
In wild‐type mice, injury or acute inflammation induces neutrophil influx followed by macrophage accumulation. Mcl1ΔMyelo (neutrophil‐deficient) mice lack neutrophils, and in response to muscle injury show fewer macrophages and exhibit strikingly elevated T‐cell numbers, primarily non‐conventional “double‐negative” (DN) αβ and γδ T cells.
Hajnalka Halász, Albert Bálint Papp, Lukács Sándor Lesinszki, Attila Mócsai, Tamás Varga, László Nagy, Péter Gogolák   +6 more
wiley   +1 more source