TY - JOUR A1 - Rösler, Antonia A1 - Gasparatos, Nikolaos A1 - Hermanussen, Michael A1 - Scheffler, Christiane T1 - Practicability and user-friendliness of height measurements by proof of concept APP using Augmented Reality, in 22 healthy children JF - Human biology and public health N2 - Background: Child growth is a dynamic process. When measured at short intervals, children’s growth shows characteristic patterns that can be of great importance for clinical purposes. Objective: To study whether measuring height on a daily basis using an APP is practicable and user-friendly. Methods: Recruitment took place via Snowball Sampling. Thirteen out of 14 contacted families signed up for a study period of 12 weeks with altogether 22 healthy children aged 3 to 13 years (response rate 93%). The study started with a visit to the family home for the setup of the measurement site, conventional height measuring and initial training of the new measurement process. Follow-up appointments were made at four, eight and 12 weeks. The children’s height was measured at daily intervals at their family homes over a period of three months. Results: The parents altogether recorded 1704 height measurements and meticulously documented practicability and problems when using the device. A 93% response rate in recruitment was achieved by maintaining a high motivation within the families. Contact with the principal investigator was permanently available, including open communication, personal training and attendance during the appointments at the family homes. Conclusion: Measuring height by photographic display is interesting for children and parents and can be used for height measurements at home. A positive response rate of 13 out of 14 families with altogether 22 children highlights feasible recruitment and the high convenience and user-friendliness of daily APP-supported height measurements. Daily APP measurements appear to be a promising new tool for longitudinal growth studies. KW - body height KW - guideline KW - augmented reality KW - daily home-made measurements KW - iPhone KW - APP Y1 - 2022 U6 - https://doi.org/10.52905/hbph2022.2.48 SN - 2748-9957 VL - 2022 IS - 2 PB - Universitätsverlag Potsdam CY - Potsdam ER - TY - JOUR A1 - Hermanussen, Michael A1 - Scheffler, Christiane A1 - Pulungan, Aman B. A1 - Bandyopadhyay, Arup Ratan A1 - Ghosh, Jyoti Ratan A1 - Özdemir, Ayşegül A1 - Koca Özer, Başak A1 - Musalek, Martin A1 - Lebedeva, Lidia A1 - Godina, Elena A1 - Bogin, Barry A1 - Tutkuviene, Janina A1 - Budrytė, Milda A1 - Gervickaite, Simona A1 - Limony, Yehuda A1 - Kirchengast, Sylvia A1 - Buston, Peter A1 - Groth, Detlef A1 - Rösler, Antonia A1 - Gasparatos, Nikolaos A1 - Erofeev, Sergei A1 - Novine, Masiar A1 - Navazo, Bárbara A1 - Dahinten, Silvia A1 - Gomuła, Aleksandra A1 - Nowak-Szczepańska, Natalia A1 - Kozieł, Sławomir T1 - Environment, social behavior, and growth BT - Proceedings of the 30th Aschauer Soiree, held at Krobielowice, Poland, June 18th 2022 JF - Human biology and public health N2 - Twenty-four scientists met for the annual Auxological conference held at Krobielowice castle, Poland, to discuss the diverse influences of the environment and of social behavior on growth following last year’s focus on growth and public health concerns (Hermanussen et al., 2022b). Growth and final body size exhibit marked plastic responses to ecological conditions. Among the shortest are the pygmoid people of Rampasasa, Flores, Indonesia, who still live under most secluded insular conditions. Genetics and nutrition are usually considered responsible for the poor growth in many parts of this world, but evidence is accumulating on the prominent impact of social embedding on child growth. Secular trends not only in the growth of height, but also in body proportions, accompany the secular changes in the social, economic and political conditions, with major influences on the emotional and educational circumstances under which the children grow up (Bogin, 2021). Aspects of developmental tempo and aspects of sports were discussed, and the impact of migration by the example of women from Bangladesh who grew up in the UK. Child growth was considered in particular from the point of view of strategic adjustments of individual size within the network of its social group. Theoretical considerations on network characteristics were presented and related to the evolutionary conservation of growth regulating hypothalamic neuropeptides that have been shown to link behavior and physical growth in the vertebrate species. New statistical approaches were presented for the evaluation of short term growth measurements that permit monitoring child growth at intervals of a few days and weeks. KW - St. Nicolas House Analysis KW - child growth KW - body proportions KW - social network KW - public health KW - migration Y1 - 2023 U6 - https://doi.org/10.52905/hbph2023.1.59 SN - 2748-9957 VL - 1 PB - Universitätsverlag Potsdam CY - Potsdam ER - TY - JOUR A1 - Gasparatos, Nikolaos A1 - Scheffler, Christiane A1 - Hermanussen, Michael T1 - Assessing the applicability of changepoint analysis to analyse short-term growth JF - Human biology and public health N2 - Background: Assessing short-term growth in humans is still fraught with difficulties. Especially when looking for small variations and increments, such as mini growth spurts, high precision instruments or frequent measurements are necessary. Daily measurements however require a lot of effort, both for anthropologists and for the subjects. Therefore, new sophisticated approaches are needed that reduce fluctuations and reveal underlying patterns. Objectives: Changepoints are abrupt variations in the properties of time series data. In the context of growth, such variations could be variation in mean height. By adjusting the variance and using different growth models, we assessed the ability of changepoint analysis to analyse short-term growth and detect mini growth spurts. Sample and Methods: We performed Bayesian changepoint analysis on simulated growth data using the bcp package in R. Simulated growth patterns included stasis, linear growth, catch-up growth, and mini growth spurts. Specificity and a normalised variant of the Matthews correlation coefficient (MCC) were used to assess the algorithm’s performance. Welch’s t-test was used to compare differences of the mean. Results: First results show that changepoint analysis can detect mini growth spurts. However, the ability to detect mini growth spurts is highly dependent on measurement error. Data preparation, such as ranking and rotating time series data, showed negligible improvements. Missing data was an issue and may affect the prediction quality of the classification metrics. Conclusion: Changepoint analysis is a promising tool to analyse short-term growth. However, further optimisation and analysis of real growth data is needed to make broader generalisations. KW - changepoint analysis KW - changepoint detection KW - performance evaluation KW - mini growth spurt KW - short-term growth Y1 - 2023 U6 - https://doi.org/10.52905/hbph2023.1.62 SN - 2748-9957 VL - 1 PB - Universitätsverlag Potsdam CY - Potsdam ER -