[HTML][HTML] How has big data contributed to obesity research? A review of the literature
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 …
medicine and public health. Although there is no agreed definition of big data, accepted …
[HTML][HTML] A Delphi study to build consensus on the definition and use of big data in obesity research
Background 'Big data'has great potential to help address the global health challenge of
obesity. However, lack of clarity with regard to the definition of big data and frameworks for …
obesity. However, lack of clarity with regard to the definition of big data and frameworks for …
[HTML][HTML] Can big data solve a big problem? Reporting the obesity data landscape in line with the Foresight obesity system map
Background Obesity research at a population level is multifaceted and complex. This has
been characterised in the UK by the Foresight obesity systems map, identifying over 100 …
been characterised in the UK by the Foresight obesity systems map, identifying over 100 …
Big Data and the transformation of food and beverage marketing: undermining efforts to reduce obesity?
K Montgomery, J Chester, L Nixon, L Levy… - Critical Public …, 2019 - Taylor & Francis
The confluence of new ways to quickly gather, analyze, and use large volumes of
information–so-called 'Big Data'–coupled with the widespread adoption of digital devices …
information–so-called 'Big Data'–coupled with the widespread adoption of digital devices …
The fundamental flaw in obesity research
JT Winkler - Obesity Reviews, 2005 - Wiley Online Library
The basic problem with comparative diet trials is our inability to measure what people eat. All
conventional instruments depend on subjects' reports. Most trials lack independent …
conventional instruments depend on subjects' reports. Most trials lack independent …
The “obesity epidemic”: Evolving science, unchanging etiology
AE Bombak - Sociology Compass, 2014 - Wiley Online Library
Abstract “Obesity epidemic” discourse relies on scientific and epidemiological research to
justify subjecting certain bodies to healthist messaging and disciplinary technologies. The …
justify subjecting certain bodies to healthist messaging and disciplinary technologies. The …
[HTML][HTML] Sustainability of weight loss through smartphone apps: systematic review and meta-analysis on anthropometric, metabolic, and dietary outcomes
Background Evidence on the long-term effects of weight management smartphone apps on
various weight-related outcomes remains scarce. Objective In this review, we aimed to …
various weight-related outcomes remains scarce. Objective In this review, we aimed to …
[HTML][HTML] The implications of defining obesity as a disease: a report from the Association for the Study of Obesity 2021 annual conference
Unlike various countries and organisations, including the World Health Organisation and the
European Parliament, the United Kingdom does not formally recognise obesity as a disease …
European Parliament, the United Kingdom does not formally recognise obesity as a disease …
[HTML][HTML] Does big data require a methodological change in medical research?
A Caliebe, F Leverkus, G Antes, M Krawczak - BMC medical research …, 2019 - Springer
Background Use of big data is becoming increasingly popular in medical research. Since
big data-based projects differ notably from classical research studies, both in terms of scope …
big data-based projects differ notably from classical research studies, both in terms of scope …
[HTML][HTML] Obesity in low-and middle-income countries: burden, drivers, and emerging challenges
We have reviewed the distinctive features of excess weight, its causes, and related
prevention and management efforts, as well as data gaps and recommendations for future …
prevention and management efforts, as well as data gaps and recommendations for future …