Growth characteristics of age-based anthropometric data from human assisted remote healthcare systems

Mehdi Hasan, Mariko Nishikitani, Fumuhiko Yokota, Akira Fukuda, Rafiqul Islam, Ashir Ahmed

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

This paper reports growth characteristics (height, weight, BMI, waist and hip) of Bangladeshi males at the age of 20 to 100, analyzed from 13,069 samples randomly collected from 54 locations in Bangladesh since the year 2010. The US CDC (Center for Disease Control and Prevention) demonstrates growth pattern charts for boys and girls from 2 to 20 years of age. Very few literatures report growth characteristics after the age of 20. This is due to the fact that there is no significant growth after the age of 20 for height. However, weight, BMI, waist, hip size do change over time. Our Portable Health Clinic system has for many years been archiving remote health care data records from different ages and socioeconomic levels in many locations throughout Bangladesh. This research aims to explore whether there are any significant clinical growth patterns over age. We analyzed our data and demonstrated the growth patterns. For height, there is no sharp change until the age of 49, but after the age of 50, we observe a slight decline of height and a sharp decline after the age of 80. Weight grows until the age of 49 and decline after that.Waist and Hip show similar growth characteristics with weight. The plots are demonstrated in 7 different percentiles (5th, 10th, 25th, 50th, 75th, 90th and 95th) to get an idea of the range of respective growth of males in Bangladesh.

Original languageEnglish
Pages (from-to)615-619
Number of pages5
JournalInternational Journal of Advanced Computer Science and Applications
Volume10
Issue number3
DOIs
Publication statusPublished - 2019

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

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