(IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 10, No. 3, 2019 Growth Characteristics of Age-based Anthropometric Data from Human Assisted Remote Healthcare Systems Mehdi Hasan 1 Department of Advanced Information Technology, Kyushu University, Fukuoka, Japan Mariko Nishikitani 2 Institute of Decision Science for a Sustainable Society Kyushu University, Fukuoka, Japan Fumuhiko Yokota 3 Institute of Decision Science for a Sustainable Society Kyushu University, Fukuoka, Japan Akira Fukuda 4 Department of Advanced Information Technology Kyushu University, Fukuoka, Japan Rafiqul Islam 5 Medical Information Center Kyushu University Hospital Fukuoka, Japan Ashir Ahmed 6 Department of Advanced Information Technology Kyushu University, Fukuoka, Japan 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. Keywords—Age and gender-based growth characteristics; portable health clinic; human assisted remote healthcare system I. I NTRODUCTION Growth monitoring is the single most useful tool for defining health and nutritional status in children at both the individual and population[1]. This growth charts are widely used as a clinical and research tool to assess nutritional status and the general health and well-being of infants, children, and adolescents [2]. Optimal growth depends on genetic constitution, normal endocrine function, adequate nutrition, a nurturing environment, and an absence of chronic disease. Fetal, infant, maternal, and environmental factors can interact to impair intrauterine and postnatal growth [3]. Genetic differ- ences in birth-weight among various populations are small and, although there are some racial/ethnic differences in growth [4], these differences are now known to be relatively minor compared to worldwide variations in growth which are due to health and environmental influences (e.g. poor nutrition, infectious disease, socio-economic status) [6]. The most pop- ular approach of growth pattern metrics developed and widely used by the CDC comprise a series of percentile curves that illustrate the distribution of selected body measurements related to the age of boys and girls. The CDC curves are based on compiled anthropometric measurements that were performed only once on the infants and toddlers who were sampled [7]. However, these CDC growth charts and their many derivatives only address the ages 2-20 years. As far as we know, there are currently no corresponding charts reflecting the same set of characteristics of human development for ages greater than 20. We aim to see if there are any significant clinical growth patterns, specifically regarding height, weight, BMI, waist, and hip for humans over the age of 20 years. We have been collecting and archiving 10 anthropometric data items from 54 different areas of Bangladesh since 2010 [5], [8], [9]. We are working on error detection, consumer behavior [10], [11], [12], [13] and healthcare well-being [14]areas. However, in this study we became interested in looking at this data to determine whether there are any significant growth patterns for individuals more than 20 years old, and therefore, the possibility of extending the very useful CDC charts. Due to the nature of Bangladesh, the uniform collection of health data can be challenging, and therefore, this long-term project was managed by our Portable Health Clinic (PHC) system, which is jointly administered by the Faculty of Information Engineering of Kyushu University, Japan, and Grameen Communications of Bangladesh [11], [15], [16]. In this effort, we focused 5 anthropometrics data: height, weight, BMI, waist, and hip. Because the underlying data was collected in often remote areas and digitized by health care workers in the field. The PHC is an e-Health system specifically designed to help provide medical advice and care in remote environments, both urban and rural. In both settings, the approach to the measurement, examination, and monitoring of health status, as well as facilitating consults by physicians, is the same. This service offers two types of packages that can be selected www.ijacsa.thesai.org 615 | Page