National, regional, and global trends in body-mass index since 1980: systematic analysis of health examination surveys and epidemiological studies with 960 country-years and 9·1 million participants

By B. J. Gersh. 2012

1,277 citations recorded by the source corpus.

Subfields: Pharmacy, Physiology, Public Health, Environmental and Occupational Health

View Paper: https://www.semanticscholar.org/paper/c84e6c34becd82e72d86b8ed5fbb7bb39d19f92f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Pharmacy

In Physiology

In Public Health, Environmental and Occupational Health

Citations in the corpus

Diet change—a solution to reduce water use? (2014, methodology): “Please cite the original version: Jalava, M., Kummu, M., Porkka, M., Siebert, S., & Varis, O. (2014). Diet change - a solution to reduce water use ? Environmental Research Letters, 9(7), 1-14.”
Linking Gut Microbiota and Inflammation to Obesity and Insulin Resistance. (2016, background): “This posttranslational modification of IRS-1 has been considered as an insulin resistance marker (37, 71, 83, 95, 115).”
Post-green revolution food systems and the triple burden of malnutrition (2013, background): “This form of malnutrition, which is associated with increased risk of diabetes and cardiovascular disease (Schroeder et al., 1999; Sawaya et al., 2003; Reddy, 2002), is increasingly affecting developing countries and obesity reached a global prevalence of 12% in 2008 (Finucane et al., 2011).”
2016 European Guidelines on cardiovascular disease prevention in clinical practice (2017, positive): “persist and many risk factors, particularly obesity [3] and diabetes mellitus (DM) [4], have been increasing substantially.”
Time restricted feeding without reducing caloric intake prevents metabolic diseases in mice fed a high fat diet (2012, neutral): “Obesity is a major health challenge in many developed countries, reaching global pandemic proportions (Finucane et al., 2011).”
National, regional, and global trends in adult overweight and obesity prevalences (2012, methodology): “The uncertainty of the estimated prevalences included those of mean BMI from the Bayesian model, described elsewhere [6,7] and summarized above, and the uncertainty associated with converting mean to prevalence.”
BMI in relation to sperm count: an updated systematic review and collaborative meta-analysis. (2013, background): “, 2001) but has also coincided with a worldwide increase in the prevalence of overweight and obesity (Finucane et al., 2011).”