A review of machine learning in obesity

KW DeGregory, P Kuiper, T DeSilvio, JD Pleuss… - Obesity …, 2018 - Wiley Online Library
Rich sources of obesity‐related data arising from sensors, smartphone apps, electronic
medical health records and insurance data can bring new insights for understanding …

Obesity and pain: a systematic review

SH Chin, WL Huang, S Akter, M Binks - International journal of obesity, 2020 - nature.com
Background/objectives The current systematic review considered research published within
the 10 years preceding June 2019, dealing with the topic of obesity and pain. Within the …

Can intersectionality theory enrich population health research?

MA Green, CR Evans, SV Subramanian - 2017 - psycnet.apa.org
Comments on an article by Maria Wemrell et al.(see record 2017-09829-024). There is
growing interest in applying intersectional approaches in health inequalities research. While …

[HTML][HTML] Overlapping neural endophenotypes in addiction and obesity

A Michaud, U Vainik, I Garcia-Garcia… - Frontiers in …, 2017 - frontiersin.org
Impulsivity refers to a tendency to act rapidly without full consideration of consequences. The
trait is thought to result from the interaction between high arousal responses to potential …

Genome‐wide association study of alcohol use disorder identification test (AUDIT) scores in 20 328 research participants of European ancestry

S Sanchez‐Roige, P Fontanillas, SL Elson… - Addiction …, 2019 - Wiley Online Library
Genetic factors contribute to the risk for developing alcohol use disorder (AUD). In
collaboration with the genetics company 23andMe, Inc., we performed a genome‐wide …

Reframing malnutrition in all its forms: a critique of the tripartite classification of malnutrition

G Scrinis - Global Food Security, 2020 - Elsevier
Within conventional scientific and policy analyses of malnutrition in all its forms, three forms
of malnutrition are commonly distinguished: under-nutrition, micronutrient deficiencies and …

[HTML][HTML] How has big data contributed to obesity research? A review of the literature

KA Timmins, MA Green, D Radley, MA Morris… - International journal of …, 2018 - nature.com
There has been growing interest in the potential of 'big data'to enhance our understanding in
medicine and public health. Although there is no agreed definition of big data, accepted …

[HTML][HTML] A three-component cognitive behavioural lifestyle program for preconceptional weight-loss in women with polycystic ovary syndrome (PCOS): a protocol for a …

G Jiskoot, SH Benneheij, A Beerthuizen, JE De Niet… - Reproductive health, 2017 - Springer
Background Obesity in women with polycystic ovary syndrome (PCOS) negatively affects all
clinical features, and a 5 to 10% weight loss has shown promising results on reproductive …

[HTML][HTML] Deep learning for echocardiography: Introduction for clinicians and future vision: State-of-the-art review

C Krittanawong, AMS Omar, S Narula, PP Sengupta… - Life, 2023 - mdpi.com
Exponential growth in data storage and computational power is rapidly narrowing the gap
between translating findings from advanced clinical informatics into cardiovascular clinical …

Alcohol drinking cultures of European adolescents

AB Bräker, R Soellner - The European Journal of Public Health, 2016 - academic.oup.com
Background: Adolescent alcohol use varies across Europe. Differences in use might be due
to variations in social drinking norms. These norms become apparent, eg in different …