A STATISTICAL APPROACH TO THE DETERMINATION OF THE MAJOR CONTRIBUTING ANTHROPOMETRIC PARAMETER(S) FOR REGIONAL VARIATION IN BODY MASS INDEX IN COASTAL AND PLAIN REGIONS OF INDIA: A PILOT COHORT STUDY
An estimate of body mass index (BMI) is a convenient technique to determine a healthy weight in accordance with height and is based on certain anthropometric parameters. This study was undertaken to statistically analyze the differential significance of anthropometric parameters in contributing to r...
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| Format: | Article |
| Language: | English |
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Scientific Publishing House. NSA Press
2018-07-01
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| Series: | Journal of Applied Sports Sciences |
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| Online Access: | https://journal.nsa.bg/article/32980/download/pdf/ |
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| author | J P Verma Harinder Jaseja Nikolay Boyadjiev Priti Gurjar Amey Bhojane Ajeet Singh |
| author_facet | J P Verma Harinder Jaseja Nikolay Boyadjiev Priti Gurjar Amey Bhojane Ajeet Singh |
| author_sort | J P Verma |
| collection | DOAJ |
| description | An estimate of body mass index (BMI) is a convenient technique to determine a healthy weight in accordance with height and is based on certain anthropometric parameters. This study was undertaken to statistically analyze the differential significance of anthropometric parameters in contributing to regional and age variation in BMI in a cohort population. The study population comprised of 101 school teachers from Mumbai (coastal) and Gwalior (plains) regions of both sexs (males=76) and (females=25). The data on age, waist circumference and hip circumference was obtained and subjected to regression analysis using the IBM SPSS version 22 software. In general, the results show that, waist in males and hip circumference in females is the single most important parameter in estimating the BMI. However, by considering all the three parameters i.e., age, waist and hip circumferences, the accuracy of BMI estimation can be enhanced both in males and females. The results exhibit a significant effect of regional influence but marginal influence of age in estimating the BMI. A definite and interesting difference in the contribution of anthropometric parameters in the regional variation of BMI was detected. The observations strongly suggest development of region-wise as well as age-wise BMI estimation models. |
| format | Article |
| id | doaj-art-dbe3aa6e930e4820b3ba6efa8315c1ec |
| institution | DOAJ |
| issn | 2535-0145 |
| language | English |
| publishDate | 2018-07-01 |
| publisher | Scientific Publishing House. NSA Press |
| record_format | Article |
| series | Journal of Applied Sports Sciences |
| spelling | doaj-art-dbe3aa6e930e4820b3ba6efa8315c1ec2025-08-20T03:14:17ZengScientific Publishing House. NSA PressJournal of Applied Sports Sciences2535-01452018-07-0121646910.37393/JASS.2018.01.832980A STATISTICAL APPROACH TO THE DETERMINATION OF THE MAJOR CONTRIBUTING ANTHROPOMETRIC PARAMETER(S) FOR REGIONAL VARIATION IN BODY MASS INDEX IN COASTAL AND PLAIN REGIONS OF INDIA: A PILOT COHORT STUDYJ P Verma0Harinder Jaseja1Nikolay Boyadjiev2Priti Gurjar3Amey Bhojane4Ajeet Singh5Lakshmibai National Institute of Physical EducationG R Medical CollegeMedical University PlovdivLakshmibai National Institute of Physical EducationLakshmibai National Institute of Physical EducationLakshmibai National Institute of Physical EducationAn estimate of body mass index (BMI) is a convenient technique to determine a healthy weight in accordance with height and is based on certain anthropometric parameters. This study was undertaken to statistically analyze the differential significance of anthropometric parameters in contributing to regional and age variation in BMI in a cohort population. The study population comprised of 101 school teachers from Mumbai (coastal) and Gwalior (plains) regions of both sexs (males=76) and (females=25). The data on age, waist circumference and hip circumference was obtained and subjected to regression analysis using the IBM SPSS version 22 software. In general, the results show that, waist in males and hip circumference in females is the single most important parameter in estimating the BMI. However, by considering all the three parameters i.e., age, waist and hip circumferences, the accuracy of BMI estimation can be enhanced both in males and females. The results exhibit a significant effect of regional influence but marginal influence of age in estimating the BMI. A definite and interesting difference in the contribution of anthropometric parameters in the regional variation of BMI was detected. The observations strongly suggest development of region-wise as well as age-wise BMI estimation models.https://journal.nsa.bg/article/32980/download/pdf/BMIregression analysisregional influence on BM |
| spellingShingle | J P Verma Harinder Jaseja Nikolay Boyadjiev Priti Gurjar Amey Bhojane Ajeet Singh A STATISTICAL APPROACH TO THE DETERMINATION OF THE MAJOR CONTRIBUTING ANTHROPOMETRIC PARAMETER(S) FOR REGIONAL VARIATION IN BODY MASS INDEX IN COASTAL AND PLAIN REGIONS OF INDIA: A PILOT COHORT STUDY Journal of Applied Sports Sciences BMI regression analysis regional influence on BM |
| title | A STATISTICAL APPROACH TO THE DETERMINATION OF THE MAJOR CONTRIBUTING ANTHROPOMETRIC PARAMETER(S) FOR REGIONAL VARIATION IN BODY MASS INDEX IN COASTAL AND PLAIN REGIONS OF INDIA: A PILOT COHORT STUDY |
| title_full | A STATISTICAL APPROACH TO THE DETERMINATION OF THE MAJOR CONTRIBUTING ANTHROPOMETRIC PARAMETER(S) FOR REGIONAL VARIATION IN BODY MASS INDEX IN COASTAL AND PLAIN REGIONS OF INDIA: A PILOT COHORT STUDY |
| title_fullStr | A STATISTICAL APPROACH TO THE DETERMINATION OF THE MAJOR CONTRIBUTING ANTHROPOMETRIC PARAMETER(S) FOR REGIONAL VARIATION IN BODY MASS INDEX IN COASTAL AND PLAIN REGIONS OF INDIA: A PILOT COHORT STUDY |
| title_full_unstemmed | A STATISTICAL APPROACH TO THE DETERMINATION OF THE MAJOR CONTRIBUTING ANTHROPOMETRIC PARAMETER(S) FOR REGIONAL VARIATION IN BODY MASS INDEX IN COASTAL AND PLAIN REGIONS OF INDIA: A PILOT COHORT STUDY |
| title_short | A STATISTICAL APPROACH TO THE DETERMINATION OF THE MAJOR CONTRIBUTING ANTHROPOMETRIC PARAMETER(S) FOR REGIONAL VARIATION IN BODY MASS INDEX IN COASTAL AND PLAIN REGIONS OF INDIA: A PILOT COHORT STUDY |
| title_sort | statistical approach to the determination of the major contributing anthropometric parameter s for regional variation in body mass index in coastal and plain regions of india a pilot cohort study |
| topic | BMI regression analysis regional influence on BM |
| url | https://journal.nsa.bg/article/32980/download/pdf/ |
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