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A multivariate multilevel analysis of the risk factors associated with anthropometric indices in Iranian mid-adolescents
BACKGROUND: The present study was conducted to jointly assess some specific factors related to body fat measures using a multivariate multilevel analysis in a representative sample of Iranian mid-adolescents. METHODS: This study was conducted among 2538 students (1286 boys) aged 14–20 years old, who...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7195711/ https://www.ncbi.nlm.nih.gov/pubmed/32359351 http://dx.doi.org/10.1186/s12887-020-02104-x |
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author | Alamolhoda, Marzieh Heydari, Seyyed Taghi Ayatollahi, Seyyed Mohammad Taghi Tabrizi, Reza Akbari, Maryam Ardalan, Arash |
author_facet | Alamolhoda, Marzieh Heydari, Seyyed Taghi Ayatollahi, Seyyed Mohammad Taghi Tabrizi, Reza Akbari, Maryam Ardalan, Arash |
author_sort | Alamolhoda, Marzieh |
collection | PubMed |
description | BACKGROUND: The present study was conducted to jointly assess some specific factors related to body fat measures using a multivariate multilevel analysis in a representative sample of Iranian mid-adolescents. METHODS: This study was conducted among 2538 students (1286 boys) aged 14–20 years old, who were randomly selected among 16 public high schools by multi-stage random sampling procedure from all education districts of Shiraz, Iran. Data on demographic characteristics, family history of obesity, physical activity, socio-economic (SES) variables and screen time were collected. Height, weight, triceps (TST), abdominal (AST), and subscapular (SST) skinfold thickness were measured and their body mass index (BMI) was calculated. A multivariate multilevel approach was used to analyze the factors associated with obesity measures of the TST, AST, SST at the child and district levels. RESULTS: In this study, the prevalence of overweight and obesity was estimated to be 10.2 and 5.1%, respectively. Overall, the major portion of the total variance in TST (97.1%), AST (97.7%), and SST (97.5%) was found at the child level. The results of multivariate multilevel method revealed that being girls, having a family history of obesity, and SES were significantly associated with increasing of three body fat measures (all the p-values were less than 0.05). There were significant positive associations between moderate to vigorous physical activities with AST and SST (for AST: β =2.54, SE = 1.40, p = 0.05; for SST: β =2.24, SE = 1.20, p = 0.05). Compared to children in 14–16 age group, children in age group 16–18 years had less TST (β = − 0.67, SE = 0.34, p = 0.04). Furthermore, other age groups and screen time did not play an important role in three outcome variables. CONCLUSIONS: The results showed some factors that contribute to three body fat measures. Therefore, it is necessary to develop effective interventions to prevent the effects of individual and environmental undesirable factors on childhood obesity in both family and community levels. |
format | Online Article Text |
id | pubmed-7195711 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-71957112020-05-06 A multivariate multilevel analysis of the risk factors associated with anthropometric indices in Iranian mid-adolescents Alamolhoda, Marzieh Heydari, Seyyed Taghi Ayatollahi, Seyyed Mohammad Taghi Tabrizi, Reza Akbari, Maryam Ardalan, Arash BMC Pediatr Research Article BACKGROUND: The present study was conducted to jointly assess some specific factors related to body fat measures using a multivariate multilevel analysis in a representative sample of Iranian mid-adolescents. METHODS: This study was conducted among 2538 students (1286 boys) aged 14–20 years old, who were randomly selected among 16 public high schools by multi-stage random sampling procedure from all education districts of Shiraz, Iran. Data on demographic characteristics, family history of obesity, physical activity, socio-economic (SES) variables and screen time were collected. Height, weight, triceps (TST), abdominal (AST), and subscapular (SST) skinfold thickness were measured and their body mass index (BMI) was calculated. A multivariate multilevel approach was used to analyze the factors associated with obesity measures of the TST, AST, SST at the child and district levels. RESULTS: In this study, the prevalence of overweight and obesity was estimated to be 10.2 and 5.1%, respectively. Overall, the major portion of the total variance in TST (97.1%), AST (97.7%), and SST (97.5%) was found at the child level. The results of multivariate multilevel method revealed that being girls, having a family history of obesity, and SES were significantly associated with increasing of three body fat measures (all the p-values were less than 0.05). There were significant positive associations between moderate to vigorous physical activities with AST and SST (for AST: β =2.54, SE = 1.40, p = 0.05; for SST: β =2.24, SE = 1.20, p = 0.05). Compared to children in 14–16 age group, children in age group 16–18 years had less TST (β = − 0.67, SE = 0.34, p = 0.04). Furthermore, other age groups and screen time did not play an important role in three outcome variables. CONCLUSIONS: The results showed some factors that contribute to three body fat measures. Therefore, it is necessary to develop effective interventions to prevent the effects of individual and environmental undesirable factors on childhood obesity in both family and community levels. BioMed Central 2020-05-02 /pmc/articles/PMC7195711/ /pubmed/32359351 http://dx.doi.org/10.1186/s12887-020-02104-x Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Alamolhoda, Marzieh Heydari, Seyyed Taghi Ayatollahi, Seyyed Mohammad Taghi Tabrizi, Reza Akbari, Maryam Ardalan, Arash A multivariate multilevel analysis of the risk factors associated with anthropometric indices in Iranian mid-adolescents |
title | A multivariate multilevel analysis of the risk factors associated with anthropometric indices in Iranian mid-adolescents |
title_full | A multivariate multilevel analysis of the risk factors associated with anthropometric indices in Iranian mid-adolescents |
title_fullStr | A multivariate multilevel analysis of the risk factors associated with anthropometric indices in Iranian mid-adolescents |
title_full_unstemmed | A multivariate multilevel analysis of the risk factors associated with anthropometric indices in Iranian mid-adolescents |
title_short | A multivariate multilevel analysis of the risk factors associated with anthropometric indices in Iranian mid-adolescents |
title_sort | multivariate multilevel analysis of the risk factors associated with anthropometric indices in iranian mid-adolescents |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7195711/ https://www.ncbi.nlm.nih.gov/pubmed/32359351 http://dx.doi.org/10.1186/s12887-020-02104-x |
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