Probabilistic prediction of segmental body composition in Iranian children and adolescents
Abstract Background Adolescents' body composition is considered an important measure to evaluate health status. An examination of any of the segmental compartments by anthropometric indices is a more usable method than direct methods. Objectives To propose a method based on the network approach...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2022-09-01
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| Series: | BMC Pediatrics |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12887-022-03580-z |
| _version_ | 1798004325085085696 |
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| author | Mahsa Rahmani Arash Ardalan Mostafa Ghaderi-Zefrehei Marjan Jeddi Seyed Taghi Heydari Mohammad Hossein Dabbaghmanesh |
| author_facet | Mahsa Rahmani Arash Ardalan Mostafa Ghaderi-Zefrehei Marjan Jeddi Seyed Taghi Heydari Mohammad Hossein Dabbaghmanesh |
| author_sort | Mahsa Rahmani |
| collection | DOAJ |
| description | Abstract Background Adolescents' body composition is considered an important measure to evaluate health status. An examination of any of the segmental compartments by anthropometric indices is a more usable method than direct methods. Objectives To propose a method based on the network approach for predicting segmental body composition components in adolescent boys and girls using anthropometric measurements. Methods A dual-energy X-ray absorptiometry (DXA) dataset in the south of Iran, including 476 adolescents (235 girls and 241 boys) with a range of 9–18 years, was obtained. Several anthropometric prediction models based on the network approach were fitted to the training dataset (TRD 80%) using bnlearn, an R add-in package. The best fitted models were applied to the validation dataset (VAD 20%) to assess the prediction accuracy. Results Present equations consisting of age, weight, height, body mass index (BMI), and hip circumference accounted for 0.85 (P < 0.001) of the variability of DXA values in the corresponding age groups of boys. Similarly, reasonable estimates of DXA values could be obtained from age, weight, height, and BMI in girls over 13 years, and from age, weight, height, BMI, and waist circumference in girls under 13 years, respectively, of 0.77 and 0.83 (P < 0.001). Correlations between robust Gaussian Bayesian network (RGBN) predictions and DXA measurements were highly significant, averaging 0.87 for boys and 0.82 for girls (P < 0.001). Conclusions The results revealed that, based on the present study’s predictive models, adolescents' body composition might be estimated by input anthropometric information. Given the flexibility and modeling of the present method to test different motivated hypotheses, its application to body compositional data is highly appealing. |
| first_indexed | 2024-04-11T12:21:41Z |
| format | Article |
| id | doaj.art-9d81dafa4ff549599d73e94dcabeba4a |
| institution | Directory Open Access Journal |
| issn | 1471-2431 |
| language | English |
| last_indexed | 2024-04-11T12:21:41Z |
| publishDate | 2022-09-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Pediatrics |
| spelling | doaj.art-9d81dafa4ff549599d73e94dcabeba4a2022-12-22T04:24:05ZengBMCBMC Pediatrics1471-24312022-09-0122111210.1186/s12887-022-03580-zProbabilistic prediction of segmental body composition in Iranian children and adolescentsMahsa Rahmani0Arash Ardalan1Mostafa Ghaderi-Zefrehei2Marjan Jeddi3Seyed Taghi Heydari4Mohammad Hossein Dabbaghmanesh5Health Policy Research Center, Institute of Health, Shiraz University of Medical SciencesHealth Policy Research Center, Institute of Health, Shiraz University of Medical SciencesDepartment of Animal Science, Yasouj UniversityEndocrinology and Metabolism Research Center, Shiraz University of Medical SciencesHealth Policy Research Center, Institute of Health, Shiraz University of Medical SciencesEndocrinology and Metabolism Research Center, Shiraz University of Medical SciencesAbstract Background Adolescents' body composition is considered an important measure to evaluate health status. An examination of any of the segmental compartments by anthropometric indices is a more usable method than direct methods. Objectives To propose a method based on the network approach for predicting segmental body composition components in adolescent boys and girls using anthropometric measurements. Methods A dual-energy X-ray absorptiometry (DXA) dataset in the south of Iran, including 476 adolescents (235 girls and 241 boys) with a range of 9–18 years, was obtained. Several anthropometric prediction models based on the network approach were fitted to the training dataset (TRD 80%) using bnlearn, an R add-in package. The best fitted models were applied to the validation dataset (VAD 20%) to assess the prediction accuracy. Results Present equations consisting of age, weight, height, body mass index (BMI), and hip circumference accounted for 0.85 (P < 0.001) of the variability of DXA values in the corresponding age groups of boys. Similarly, reasonable estimates of DXA values could be obtained from age, weight, height, and BMI in girls over 13 years, and from age, weight, height, BMI, and waist circumference in girls under 13 years, respectively, of 0.77 and 0.83 (P < 0.001). Correlations between robust Gaussian Bayesian network (RGBN) predictions and DXA measurements were highly significant, averaging 0.87 for boys and 0.82 for girls (P < 0.001). Conclusions The results revealed that, based on the present study’s predictive models, adolescents' body composition might be estimated by input anthropometric information. Given the flexibility and modeling of the present method to test different motivated hypotheses, its application to body compositional data is highly appealing.https://doi.org/10.1186/s12887-022-03580-zBody compositionAdolescentObesityAnthropometrySouth of Iran |
| spellingShingle | Mahsa Rahmani Arash Ardalan Mostafa Ghaderi-Zefrehei Marjan Jeddi Seyed Taghi Heydari Mohammad Hossein Dabbaghmanesh Probabilistic prediction of segmental body composition in Iranian children and adolescents BMC Pediatrics Body composition Adolescent Obesity Anthropometry South of Iran |
| title | Probabilistic prediction of segmental body composition in Iranian children and adolescents |
| title_full | Probabilistic prediction of segmental body composition in Iranian children and adolescents |
| title_fullStr | Probabilistic prediction of segmental body composition in Iranian children and adolescents |
| title_full_unstemmed | Probabilistic prediction of segmental body composition in Iranian children and adolescents |
| title_short | Probabilistic prediction of segmental body composition in Iranian children and adolescents |
| title_sort | probabilistic prediction of segmental body composition in iranian children and adolescents |
| topic | Body composition Adolescent Obesity Anthropometry South of Iran |
| url | https://doi.org/10.1186/s12887-022-03580-z |
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