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Changes in Obesity Odds Ratio among Iranian Adults, since 2000: Quadratic Inference Functions Method
Background. Monitoring changes in obesity prevalence by risk factors is relevant to public health programs that focus on reducing or preventing obesity. The purpose of this paper was to study trends in obesity odds ratios (ORs) for individuals aged 20 years and older in Iran by using a new statistic...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5075634/ https://www.ncbi.nlm.nih.gov/pubmed/27803729 http://dx.doi.org/10.1155/2016/7101343 |
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author | Bakhshi, Enayatollah Etemad, Koorosh Seifi, Behjat Mohammad, Kazem Biglarian, Akbar Koohpayehzadeh, Jalil |
author_facet | Bakhshi, Enayatollah Etemad, Koorosh Seifi, Behjat Mohammad, Kazem Biglarian, Akbar Koohpayehzadeh, Jalil |
author_sort | Bakhshi, Enayatollah |
collection | PubMed |
description | Background. Monitoring changes in obesity prevalence by risk factors is relevant to public health programs that focus on reducing or preventing obesity. The purpose of this paper was to study trends in obesity odds ratios (ORs) for individuals aged 20 years and older in Iran by using a new statistical methodology. Methods. Data collected by the National Surveys in Iran, from 2000 through 2011. Since responses of the member of each cluster are correlated, the quadratic inference functions (QIF) method was used to model the relationship between the odds of obesity and risk factors. Results. During the study period, the prevalence rate of obesity increased from 12% to 22%. By using QIF method and a model selection criterion for performing stepwise regression analysis, we found that while obesity prevalence generally increased in both sexes, all ages, all employment, residence, and smoking levels, it seems to have changes in obesity ORs since 2000. Conclusions. Because obesity is one of the main risk factors for many diseases, awareness of the differences by factors allows development of targets for prevention and early intervention. |
format | Online Article Text |
id | pubmed-5075634 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-50756342016-11-01 Changes in Obesity Odds Ratio among Iranian Adults, since 2000: Quadratic Inference Functions Method Bakhshi, Enayatollah Etemad, Koorosh Seifi, Behjat Mohammad, Kazem Biglarian, Akbar Koohpayehzadeh, Jalil Comput Math Methods Med Research Article Background. Monitoring changes in obesity prevalence by risk factors is relevant to public health programs that focus on reducing or preventing obesity. The purpose of this paper was to study trends in obesity odds ratios (ORs) for individuals aged 20 years and older in Iran by using a new statistical methodology. Methods. Data collected by the National Surveys in Iran, from 2000 through 2011. Since responses of the member of each cluster are correlated, the quadratic inference functions (QIF) method was used to model the relationship between the odds of obesity and risk factors. Results. During the study period, the prevalence rate of obesity increased from 12% to 22%. By using QIF method and a model selection criterion for performing stepwise regression analysis, we found that while obesity prevalence generally increased in both sexes, all ages, all employment, residence, and smoking levels, it seems to have changes in obesity ORs since 2000. Conclusions. Because obesity is one of the main risk factors for many diseases, awareness of the differences by factors allows development of targets for prevention and early intervention. Hindawi Publishing Corporation 2016 2016-10-10 /pmc/articles/PMC5075634/ /pubmed/27803729 http://dx.doi.org/10.1155/2016/7101343 Text en Copyright © 2016 Enayatollah Bakhshi et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Bakhshi, Enayatollah Etemad, Koorosh Seifi, Behjat Mohammad, Kazem Biglarian, Akbar Koohpayehzadeh, Jalil Changes in Obesity Odds Ratio among Iranian Adults, since 2000: Quadratic Inference Functions Method |
title | Changes in Obesity Odds Ratio among Iranian Adults, since 2000: Quadratic Inference Functions Method |
title_full | Changes in Obesity Odds Ratio among Iranian Adults, since 2000: Quadratic Inference Functions Method |
title_fullStr | Changes in Obesity Odds Ratio among Iranian Adults, since 2000: Quadratic Inference Functions Method |
title_full_unstemmed | Changes in Obesity Odds Ratio among Iranian Adults, since 2000: Quadratic Inference Functions Method |
title_short | Changes in Obesity Odds Ratio among Iranian Adults, since 2000: Quadratic Inference Functions Method |
title_sort | changes in obesity odds ratio among iranian adults, since 2000: quadratic inference functions method |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5075634/ https://www.ncbi.nlm.nih.gov/pubmed/27803729 http://dx.doi.org/10.1155/2016/7101343 |
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