LEADER 02615nam 2200337 450 001 9910729796203321 005 20230729133352.0 035 $a(CKB)4960000000468882 035 $a(NjHacI)994960000000468882 035 $a(EXLCZ)994960000000468882 100 $a20230729d2023 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aFood Addiction, Eating Addiction and Other Forms of Addictive-Like Eating Behavior /$fPaul Brunault 210 1$aBasel :$cMDPI - Multidisciplinary Digital Publishing Institute,$d2023. 215 $a1 online resource (240 pages) 311 $a3-0365-7467-0 330 $aThere is growing evidence that among persons with disordered eating behavior, the identification of an "addictive-like eating" phenotype for some persons could be relevant and improve our ability to design better tailored interventions. This "addictive-like eating behavior" phenotype encompasses different terms or concepts, including "food addiction", "eating addiction", "compulsive eating behavior", and "food craving", but also applies to some persons with binge eating disorder, bulimia nervosa, anorexia nervosa, or binge eating symptoms. Although these terms may theoretically refer to different underlying causes or conceptualizations of addictive-like eating, all agree on the complex and multifaceted public health problem it represents and on the similarities it shares with other addictive disorders in terms of etiology, epidemiology, and treatment. Addictive-like eating behavior can deleteriously impact the patient's outcome and may lead to poorer weight loss evolution, increased prevalence of co-occurring medical and/or psychiatric disorders, and/or lower quality of life. One of the key challenges for the present and future research is to better identify this subpopulation of patients exhibiting this addictive-like eating phenotype, and to identify the psychological/psychiatric factors and biological mechanisms underlying this increased vulnerability to addictive-like eating. Such preliminary knowledge is crucial for enabling the development of interventions targeting these vulnerability risk factors and, ultimately, improving patient outcomes. 606 $aMedicine 615 0$aMedicine. 676 $a610.8 700 $aBrunault$b Paul$01378462 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910729796203321 996 $aFood Addiction, Eating Addiction and Other Forms of Addictive-Like Eating Behavior$93416960 997 $aUNINA LEADER 04213nam 2200673Ia 450 001 9910483582103321 005 20200520144314.0 010 $a1-280-38324-0 010 $a9786613561169 010 $a3-642-03767-4 024 7 $a10.1007/978-3-642-03767-2 035 $a(CKB)1000000000772857 035 $a(SSID)ssj0000316862 035 $a(PQKBManifestationID)11276959 035 $a(PQKBTitleCode)TC0000316862 035 $a(PQKBWorkID)10288386 035 $a(PQKB)10074023 035 $a(DE-He213)978-3-642-03767-2 035 $a(MiAaPQ)EBC3064515 035 $a(PPN)139955143 035 $a(EXLCZ)991000000000772857 100 $a20090909d2009 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aComputer analysis of images and patterns $e13th international conference, CAIP 2009, Munster, Germany, September 2-4, 2009 : proceedings /$fXiaoyi Jiang, Nicolai Petkov (eds.) 205 $a1st ed. 2009. 210 $aBerlin ;$aNew York $cSpringer$dc2009 215 $a1 online resource (XLVI, 1251 p.) 225 1 $aLecture notes in computer science,$x0302-9743 ;$v5702 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-642-03766-6 320 $aIncludes bibliographical references and index. 327 $aInvited Talks -- Biometrics -- Calibration -- Document Analysis -- Features -- Graph Representations -- Image Processing -- Image Registration -- Image and Video Retrieval -- Medical Imaging -- Object and Scene Recognition -- Pattern Recognition -- Shape Recovery -- Segmentation -- Stereo and Video Analysis -- Texture Analysis -- Applications -- Erratum. 330 $aIt was an honor and a pleasure to organizethe 13th International Conference on Computer Analysis of Images and Patterns (CAIP 2009) in Mu ¨nster, Germany. CAIP has been held biennially since 1985: Berlin (1985), Wismar (1987), Leipzig (1989), Dresden (1991), Budapest (1993), Prague (1995), Kiel (1997), Ljubljana (1999), Warsaw (2001), Groningen (2003), Paris (2005), and Vienna (2007). Initially, this conference series served as a forum for getting together s- entistsfromEastandWestEurope.Nowadays,CAIPenjoysahighinternational visibility and attracts participants from all over the world. For CAIP 2009 we received a record number of 405 submissions. All papers were reviewed by two, and in most cases, three reviewers. Finally, 148 papers were selected for presentation at the conference, resulting in an acceptance rate of 36%. All Program Committee members and additional reviewers listed here deserve a great thanks for their timely and competent reviews. The accepted papers were presented either as oral presentations or posters in a single-track program.In addition, wewereveryhappyto haveAljoscha Smolicand David G. Storkasourinvitedspeakerstopresenttheirworkintwofascinatingareas.With this scienti?c program we hope to continue the tradition of CAIP in providing a forum for scienti?c exchange at a high quality level. A successful conference like CAIP 2009 would not be possible without the support of many institutions and people. First of all, we like to thank all the authors of submitted papers and the invited speakers for their contributions. The Steering Committee members were always there when advice was needed. 410 0$aLecture notes in computer science ;$v5702. 517 3 $aCAIP 2009 606 $aComputer vision$vCongresses 606 $aImage processing$xDigital techniques$vCongresses 606 $aOptical pattern recognition$vCongresses 615 0$aComputer vision 615 0$aImage processing$xDigital techniques 615 0$aOptical pattern recognition 676 $a006.42 686 $aDAT 760f$2stub 686 $aDAT 770f$2stub 686 $aSS 4800$2rvk 701 $aJiang$b Xiaoyi$01064451 701 $aPetkov$b Nicolai$f1956-$01236814 712 12$aInternational Conference on Computer Analysis of Images and Patterns 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483582103321 996 $aComputer analysis of images and patterns$94187782 997 $aUNINA