Statistical methods for body mass index: a selective review

Obesity rates have been increasing over recent decades, causing significant concern among policy makers. Excess body fat, commonly measured by body mass index, is a major risk factor for several common disorders including diabetes and cardiovascular disease, placing a substantial burden on health care systems. To guide effective public health action, we need to understand the complex system of intercorrelated influences on body mass index. This paper, based on all eligible articles searched from Global health, Medline and Web of Science databases, reviews both classical and modern statistical methods for body mass index analysis. We give a description of each of these methods, exploring the classification, links and differences between them and the reasons for choosing one over the others in different settings. We aim to provide a key resource and statistical library for researchers in public health and medicine to deal with obesity and body mass index data analysis.The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work has been supported in part by the National Institute for Health Research Method Grant (NIHR RMOFS-2013-03-09) and the National Natural Science Foundation of China (Grant No. 71490725, 11261048, 11371322)

Obesity and craniofacial variables in subjects with obstructive sleep apnea syndrome: comparisons of cephalometric values

<p>Abstract</p> <p>Background</p> <p>The aim of this paper was to determine the most common craniofacial changes in patients suffering Obstructive Sleep Apnea Syndrome (OSAS) with regards to the degree of obesity. Accordingly, cephalometric data reported in the literature was searched and analyzed.</p> <p>Methods</p> <p>After a careful analysis of the literature from 1990 to 2006, 5 papers with similar procedural criteria were selected. Inclusion criteria were: recruitment of Caucasian patients with an apnea-hypopnea index (AHI) >10 as grouped in non-obese (Body Mass Index – [BMI] < 30) <it>vs</it>. obese (BMI ≥ 30).</p> <p>Results</p> <p>A low position of the hyoid bone was present in both groups. In non-obese patients, an increased value of the ANB angle and a reduced dimension of the cranial base (S-N) were found to be the most common finding, whereas major skeletal divergence (ANS-PNS ^Go-Me) was evident among obese patients. No strict association was found between OSAS and length of the soft palate.</p> <p>Conclusion</p> <p>In both non-obese and obese OSAS patients, skeletal changes were often evident; with special emphasis of intermaxillary divergence in obese patients. Unexpectedly, in obese OSAS patients, alterations of oropharyngeal soft tissue were not always present and did not prevail.</p

Evidence for dental and dental specialty treatment of obstructive sleep apnoea. Part 1: the adult OSA patient and Part 2: the paediatric and adolescent patient

Until recently, obstructive sleep apnoea was a largely unknown condition. Because of the well-publicised death of some high-profile people resulting from untreated obstructive sleep apnoea, now mostly everyone has heard of the condition. Following diagnosis, several medical treatment modalities are available to patients. However, the role that dentistry and its various specialties can play in successful treatment for obstructive sleep apnoea should not be overlooked. The common causes for adult and paediatric obstructive sleep apnoea will be presented as well as a review of the more successful forms of dental treatment. Finally, a summary of the current evidence regarding obstructive sleep apnoea treatment will be presented.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/79355/1/j.1365-2842.2010.02136.x.pd