Gareth Leng

Prof. Gareth Leng


Research Focus & Metrics

Academic Career Length

49Years (1978-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 February 2006 in Nature Reviews Neuroscience
Verified
Journal Article
Closed access
MLMike Ludwig
Mike Ludwig
GLGareth Leng
Gareth Leng

1 February 2016 in Biological Psychiatry
Verified
Journal Article
Closed access
GLGareth Leng
Gareth Leng
MLMike Ludwig
Mike Ludwig

1 November 2014 in Neuroscience & Biobehavioral Reviews
Verified
Journal Article
Open access
JHJohannes Hebebrand
Johannes Hebebrand
ÖAÖzgür Albayrak
Özgür Albayrak
RARoger Adan
Roger Adan
JAJochen Antel
Jochen Antel
CDCarlos Dieguez
Carlos Dieguez
SDSuzanne Dickson
Suzanne Dickson
"Food addiction" has become a focus of interest for researchers attempting to explain certain processes and/or behaviors that may contribute to the development of obesity. Although the scientific discussion on "food addiction" is in its nascent stage, it has potentially important implications for treatment and prevention strategies. As such, it is important to critically reflect on the appropriateness of the term "food addiction", which combines the concepts of "substance-based" and behavioral addiction. The currently available evidence for a substance-based food addiction is poor, partly because systematic clinical and translational studies are still at an early stage. We do however view both animal and existing human data as consistent with the existence of addictive eating behavior. Accordingly, we stress that similar to other behaviors eating can become an addiction in thus predisposed individuals under specific environmental circumstances. Here, we introduce current diagnostic and neurobiological concepts of substance-related and non-substance-related addictive disorders, and highlight the similarities and dissimilarities between addiction and overeating. We conclude that "food addiction" is a misnomer because of the ambiguous connotation of a substance-related phenomenon. We instead propose the term "eating addiction" to underscore the behavioral addiction to eating; future research should attempt to define the diagnostic criteria for an eating addiction, for which DSM-5 now offers an umbrella via the introduction on Non-Substance-Related Disorders within the category Substance-Related and Addictive Disorders.

1 December 2016 in Proceedings of the Nutrition Society
Verified
Journal Article
Closed access
PDF file
GLGareth Leng
Gareth Leng
RARoger A. H. Adan
Roger A. H. Adan
MBMichele Belot
Michele Belot
JBJeffrey Brunstrom
Jeffrey Brunstrom
KGKees de Graaf
Kees de Graaf
PSPaul A. M. Smeets
Paul A. M. Smeets
Health nudge interventions to steer people into healthier lifestyles are increasingly applied by governments worldwide, and it is natural to look to such approaches to improve health by altering what people choose to eat. However, to produce policy recommendations that are likely to be effective, we need to be able to make valid predictions about the consequences of proposed interventions, and for this, we need a better understanding of the determinants of food choice. These determinants include dietary components (e.g. highly palatable foods and alcohol), but also diverse cultural and social pressures, cognitive-affective factors (perceived stress, health attitude, anxiety and depression), and familial, genetic and epigenetic influences on personality characteristics. In addition, our choices are influenced by an array of physiological mechanisms, including signals to the brain from the gastrointestinal tract and adipose tissue, which affect not only our hunger and satiety but also our motivation to eat particular nutrients, and the reward we experience from eating. Thus, to develop the evidence base necessary for effective policies, we need to build bridges across different levels of knowledge and understanding. This requires experimental models that can fill in the gaps in our understanding that are needed to inform policy, translational models that connect mechanistic understanding from laboratory studies to the real life human condition, and formal models that encapsulate scientific knowledge from diverse disciplines, and which embed understanding in a way that enables policy-relevant predictions to be made. Here we review recent developments in these areas.

1 July 2002 in Nature
Verified
Journal Article
Closed access
PDF file
MLMike Ludwig
Mike Ludwig
NSNancy Sabatier
Nancy Sabatier
PBPhilip M. Bull
Philip M. Bull
RLRainer Landgraf
Rainer Landgraf
Govindan DayanithiGovindan Dayanithi
Govindan Dayanithi
GLGareth Leng
Gareth Leng

1 April 1999 in Progress in Neurobiology
Verified
Journal Article
Closed access
GLGareth Leng
Gareth Leng
CBColin Brown
Colin Brown
JRJohn A Russell
John A Russell