Rising rural body-mass index is the main driver of the global obesity epidemic in adults

Body-mass index (BMI) has increased steadily in most countries in parallel with a rise in the proportion of the population who live in cities 1,2 . This has led to a widely reported view that urbanization is one of the most important drivers of the global rise in obesity 3�6 . Here we use 2,009 population-based studies, with measurements of height and weight in more than 112 million adults, to report national, regional and global trends in mean BMI segregated by place of residence (a rural or urban area) from 1985 to 2017. We show that, contrary to the dominant paradigm, more than 55 of the global rise in mean BMI from 1985 to 2017�and more than 80 in some low- and middle-income regions�was due to increases in BMI in rural areas. This large contribution stems from the fact that, with the exception of women in sub-Saharan Africa, BMI is increasing at the same rate or faster in rural areas than in cities in low- and middle-income regions. These trends have in turn resulted in a closing�and in some countries reversal�of the gap in BMI between urban and rural areas in low- and middle-income countries, especially for women. In high-income and industrialized countries, we noted a persistently higher rural BMI, especially for women. There is an urgent need for an integrated approach to rural nutrition that enhances financial and physical access to healthy foods, to avoid replacing the rural undernutrition disadvantage in poor countries with a more general malnutrition disadvantage that entails excessive consumption of low-quality calories. © 2019, The Author(s)

EXPLORING LOCATIONAL EQUILIBRIA IN A COMPETITIVE BROADBAND ACCESS MARKET: THEORETICAL MODELING APPROACH

Due to strong local competition in the broadband access market, strategic locational planning is very important for service providers. In this paper, we explore locational equilibria in a competitive broadband market under several situations: with and without customer loyalty and under different initial market conditions. To do this, we propose a competitive broadband location model based on probabilistic patronage behavior, explicitly considering the characteristics of the broadband market and competitive structures. Also, we suggest iterative algorithms to identify spatial equilibria. We show that competing location strategies may lead to a stable spatial configuration of market share. Copyright (c) 2009, Wiley Periodicals, Inc.

The IASLC Lung Cancer Staging Project: External Validation of the Revision of the TNM Stage Groupings in the Eighth Edition of the TNM Classification of Lung Cancer

Introduction Revisions to the TNM stage classifications for lung cancer, informed by the international database (N = 94,708) of the International Association for the Study of Lung Cancer (IASLC) Staging and Prognostic Factors Committee, need external validation. The objective was to externally validate the revisions by using the National Cancer Data Base (NCDB) of the American College of Surgeons. Methods Cases presenting from 2000 through 2012 were drawn from the NCDB and reclassified according to the eighth edition stage classification. Clinically and pathologically staged subsets of NSCLC were analyzed separately. The T, N, and overall TNM classifications were evaluated according to clinical, pathologic, and â\u80\u9cbestâ\u80\u9d stage (N = 780,294). Multivariate analyses were carried out to adjust for various confounding factors. A combined analysis of the NSCLC cases from both databases was performed to explore differences in overall survival prognosis between the two databases. Results The databases differed in terms of key factors related to data source. Survival was greater in the IASLC database for all stage categories. However, the eighth edition TNM stage classification system demonstrated consistent ability to discriminate TNM categories and stage groups for clinical and pathologic stage. Conclusions The IASLC revisions made for the eighth edition of lung cancer staging are validated by this analysis of the NCDB database by the ordering, statistical differences, and homogeneity within stage groups and by the consistency within analyses of specific cohorts