@article{NovinaHermanussenScheffleretal.2020,
  author    = {Novina, Novina and Hermanussen, Michael and Scheffler, Christiane and Pulungan, Aman B. and Ismiarto, Yoyos Dias and Andriyana, Yudhie and Biben, Vitriana and Setiabudiawan, Budi},
  title     = {Indonesian National Growth Reference Charts better reflect height and weight of children in West Java, Indonesia, than WHO Child Growth Standards},
  series = {Journal of Clinical Research in Pediatric Endocrinology},
  volume    = {12},
  journal   = {Journal of Clinical Research in Pediatric Endocrinology},
  number    = {4},
  publisher = {Galenos Yayincilik},
  address   = {Istanbul},
  issn      = {1308-5727},
  doi       = {10.4274/jcrpe.galenos.2020.2020.0044},
  pages     = {410 -- 419},
  year      = {2020},
  abstract  = {Objective: The Indonesia Basic Health Research 2018 indicates that Indonesian children are still among the shortest in the world. When referred to World Health Organization Child Growth Standards (WHOCGS), the prevalence of stunting reaches up to 43\% in several Indonesian districts. Indonesian National Growth Reference Charts (INGRC) were established in order to better distinguish between healthy short children and children with growth disorders. We analyzed height and weight measurements of healthy Indonesian children using INGRC and WHOCGS. Methods: 6972 boys and 5800 girls (n = 12,772), aged 0-59 months old, from Bandung District were measured. Z-scores of length/height and body mass index were calculated based on INGRC and WHOCGS. Results: Under 5-year-old Indonesian children raised in Bandung are short and slim. Mean height z-scores of boys is -2.03 [standard deviation (SD) 1.31], mean height z-scores of girls is -2.03 (SD 1.31) when referred to WHOCGS indicating that over 50 \% of these children are stunted. Bandung children are heterogeneous, with substantial subpopulations of tall children. Depending on the growth reference used, between 9\% and 15\% of them are wasted. Wasted children are on average half a SD taller than their peers. Conclusion: WHOCGS seriously overestimates the true prevalence of undernutrition in Indonesian children. The present investigation fails to support evidence of undernutrition at a prevalence similar to the over 50\% prevalence of stunting (WHOCGS) versus 13.3\% (INGRC). We suggest refraining from using WHOCGS, and instead applying INGRC that closely mirror height and weight increments in Bandung children. INGRC appear superior for practical and clinical purposes, such as detecting growth and developmental disorders.},
  language  = {en}
}
@article{MummSchefflerHermanussen2022,
  author    = {Mumm, Rebekka and Scheffler, Christiane and Hermanussen, Michael},
  title     = {Locally structured correlation (LSC) plots describe inhomogeneity in normally distributed correlated bivariate variables},
  series = {Archives of Public Health},
  volume    = {80},
  journal   = {Archives of Public Health},
  publisher = {Springer Nature BMC},
  address   = {Bruxelles},
  issn      = {0778-7367},
  doi       = {10.1186/s13690-021-00748-4},
  pages     = {6},
  year      = {2022},
  abstract  = {Background The association between bivariate variables may not necessarily be homogeneous throughout the whole range of the variables. We present a new technique to describe inhomogeneity in the association of bivariate variables. Methods We consider the correlation of two normally distributed random variables. The 45° diagonal through the origin of coordinates represents the line on which all points would lie if the two variables completely agreed. If the two variables do not completely agree, the points will scatter on both sides of the diagonal and form a cloud. In case of a high association between the variables, the band width of this cloud will be narrow, in case of a low association, the band width will be wide. The band width directly relates to the magnitude of the correlation coefficient. We then determine the Euclidean distances between the diagonal and each point of the bivariate correlation, and rotate the coordinate system clockwise by 45°. The standard deviation of all Euclidean distances, named "global standard deviation", reflects the band width of all points along the former diagonal. Calculating moving averages of the standard deviation along the former diagonal results in "locally structured standard deviations" and reflect patterns of "locally structured correlations (LSC)". LSC highlight inhomogeneity of bivariate correlations. We exemplify this technique by analyzing the association between body mass index (BMI) and hip circumference (HC) in 6313 healthy East German adults aged 18 to 70 years. Results The correlation between BMI and HC in healthy adults is not homogeneous. LSC is able to identify regions where the predictive power of the bivariate correlation between BMI and HC increases or decreases, and highlights in our example that slim people have a higher association between BMI and HC than obese people. Conclusion Locally structured correlations (LSC) identify regions of higher or lower than average correlation between two normally distributed variables.},
  language  = {en}
}
@article{MummSchefflerHermanussen2022,
  author    = {Mumm, Rebekka and Scheffler, Christiane and Hermanussen, Michael},
  title     = {Locally structured correlation (LSC) plots describe inhomogeneity in normally distributed correlated bivariate variables},
  series = {Archives of public health = Archives belges de sant{\´e} publique = Belgisch archief voor volksgezondheid},
  volume    = {80},
  journal   = {Archives of public health = Archives belges de sant{\´e} publique = Belgisch archief voor volksgezondheid},
  number    = {1},
  publisher = {BMC},
  address   = {London},
  issn      = {0778-7367},
  doi       = {10.1186/s13690-021-00748-4},
  pages     = {6},
  year      = {2022},
  abstract  = {Background The association between bivariate variables may not necessarily be homogeneous throughout the whole range of the variables. We present a new technique to describe inhomogeneity in the association of bivariate variables. Methods We consider the correlation of two normally distributed random variables. The 45 degrees diagonal through the origin of coordinates represents the line on which all points would lie if the two variables completely agreed. If the two variables do not completely agree, the points will scatter on both sides of the diagonal and form a cloud. In case of a high association between the variables, the band width of this cloud will be narrow, in case of a low association, the band width will be wide. The band width directly relates to the magnitude of the correlation coefficient. We then determine the Euclidean distances between the diagonal and each point of the bivariate correlation, and rotate the coordinate system clockwise by 45 degrees. The standard deviation of all Euclidean distances, named "global standard deviation", reflects the band width of all points along the former diagonal. Calculating moving averages of the standard deviation along the former diagonal results in "locally structured standard deviations" and reflect patterns of "locally structured correlations (LSC)". LSC highlight inhomogeneity of bivariate correlations. We exemplify this technique by analyzing the association between body mass index (BMI) and hip circumference (HC) in 6313 healthy East German adults aged 18 to 70 years. Results The correlation between BMI and HC in healthy adults is not homogeneous. LSC is able to identify regions where the predictive power of the bivariate correlation between BMI and HC increases or decreases, and highlights in our example that slim people have a higher association between BMI and HC than obese people. Conclusion Locally structured correlations (LSC) identify regions of higher or lower than average correlation between two normally distributed variables.},
  language  = {en}
}
@misc{HermanussenSchefflerMartinetal.2021,
  author    = {Hermanussen, Michael and Scheffler, Christiane and Martin, Lidia and Groth, Detlef and Waxmonsky, James G. and Swanson, James and Nowak-Szczepanska, Natalia and Gomula, Aleksandra and Apanasewicz, Anna and Konarski, Jan M. and Malina, Robert M. and Bartkowiak, Sylwia and Lebedeva, Lidia and Suchomlinov, Andrej and Konstantinov, Vsevolod and Blum, Werner and Limony, Yehuda and Chakraborty, Raja and Kirchengast, Sylvia and Tutkuviene, Janina and Jakimaviciene, Egle Marija and Cepuliene, Ramune and Franken, Daniel and Navazo, B{\´a}rbara and Moelyo, Annang G. and Satake, Takashi and Koziel, Slawomir},
  title     = {Growth, Nutrition and Economy},
  series = {Human Biology and Public Health},
  volume    = {2021},
  journal   = {Human Biology and Public Health},
  number    = {1},
  editor    = {Scheffler, Christiane and Koziel, Slawomir and Hermanussen, Michael and Bogin, Barry},
  publisher = {Universit{\"a}tsverlag Potsdam},
  address   = {Potsdam},
  issn      = {2748-9957},
  doi       = {10.52905/hbph.v1.1},
  pages     = {1 -- 13},
  year      = {2021},
  abstract  = {Twenty-three scientists met at Krobielowice, Poland to discuss the role of growth, nutrition and economy on body size. Contrasting prevailing concepts, re-analyses of studies in Indonesian and Guatemalan school children with high prevalence of stunting failed to provide evidence for an association between nutritional status and body height. Direct effects of parental education on growth that were not transmitted via nutrition were shown in Indian datasets using network analysis and novel statistical methods (St. Nicolas House Analysis) that translate correlation matrices into network graphs. Data on Polish children suggest significant impact of socioeconomic sensitivity on child growth, with no effect of maternal money satisfaction. Height and maturation tempo affect the position of a child among its peers. Correlations also exist between mood disorders and height. Secular changes in height and weight varied across decades independent of population size. Historic and recent Russian data showed that height of persons whose fathers performed manual work were on average four cm shorter than persons whose fathers were high-degree specialists. Body height, menarcheal age, and body proportions are sensitive to socioeconomic variables. Additional topics included delayed motherhood and its associations with newborn size; geographic and socioeconomic indicators related to low birth weight, prematurity and stillbirth rate; data on anthropometric history of Brazil, 1850-1950; the impact of central nervous system stimulants on the growth of children with attention-deficit/hyperactivity disorder; and pituitary development and growth hormone secretion. Final discussions debated on reverse causality interfering between social position, and adolescent growth and developmental tempo.},
  language  = {en}
}
@misc{BoekerHermanussenScheffler2021,
  author    = {Boeker, Sonja and Hermanussen, Michael and Scheffler, Christiane},
  title     = {Westernization of self-perception in modern affluent Indonesian school children},
  series = {Human Biology and Public Health},
  volume    = {2021},
  journal   = {Human Biology and Public Health},
  number    = {1},
  editor    = {Scheffler, Christiane and Koziel, Slawomir and Hermanussen, Michael and Bogin, Barry},
  publisher = {Universit{\"a}tsverlag Potsdam},
  address   = {Potsdam},
  issn      = {2748-9957},
  doi       = {10.52905/hbph.v1.4},
  pages     = {1 -- 13},
  year      = {2021},
  abstract  = {Background Subjective Social Status is used as an important predictor for psychological and physiological findings, most commonly measured with the MacArthur Scale (Ladder Test). Previous studies have shown that this test fits better in Western cultures. The idea of a social ladder itself and ranking oneself "higher" or "lower" is a concept that accords to the Western thinking. Objectives We hypothesize that in a culture where only the elites have adapted to a Western lifestyle, the test results reflect a higher level of accuracy for this stratum. We also expect that self-perception differs per sex. Sample and Methods We implemented the Ladder Test in a study of Indonesian schoolchildren aged between 5 and 13 years (boys N = 369, girls N= 364) from non-private and private schools in Kupang in 2020. Results Our analysis showed that the Ladder Test results were according to the Western expectations only for the private school, as the Ladder Scores significantly decreased with age (LM: p = 0.04). The Ladder Test results are best explained by "Education Father" for the non-private school pupils (p = 0.01) and all boys (p = 0.04), by "School Grades" for the private school cohort (p = 0.06) and by "Household Score" for girls (p =0.09). Conclusion This finding indicates that the concept of ranking oneself "high" or "low" on a social ladder is strongly implicated with Western ideas. A ladder implies social movement by "climbing" up or down. According to that, reflection of self-perception is influenced by culture.},
  language  = {en}
}
@article{HermanussenSchefflerPulunganetal.2023,
  author    = {Hermanussen, Michael and Scheffler, Christiane and Pulungan, Aman B. and Bandyopadhyay, Arup Ratan and Ghosh, Jyoti Ratan and {\"O}zdemir, Ay{\c{s}}eg{\"u}l and Koca {\"O}zer, Ba{\c{s}}ak and Musalek, Martin and Lebedeva, Lidia and Godina, Elena and Bogin, Barry and Tutkuviene, Janina and Budrytė, Milda and Gervickaite, Simona and Limony, Yehuda and Kirchengast, Sylvia and Buston, Peter and Groth, Detlef and R{\"o}sler, Antonia and Gasparatos, Nikolaos and Erofeev, Sergei and Novine, Masiar and Navazo, B{\´a}rbara and Dahinten, Silvia and Gomuła, Aleksandra and Nowak-Szczepańska, Natalia and Kozieł, Sławomir},
  title     = {Environment, social behavior, and growth},
  series = {Human biology and public health},
  volume    = {1},
  journal   = {Human biology and public health},
  publisher = {Universit{\"a}tsverlag Potsdam},
  address   = {Potsdam},
  issn      = {2748-9957},
  doi       = {10.52905/hbph2023.1.59},
  pages     = {14},
  year      = {2023},
  abstract  = {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.},
  language  = {en}
}
@article{GasparatosSchefflerHermanussen2023,
  author    = {Gasparatos, Nikolaos and Scheffler, Christiane and Hermanussen, Michael},
  title     = {Assessing the applicability of changepoint analysis to analyse short-term growth},
  series = {Human biology and public health},
  volume    = {1},
  journal   = {Human biology and public health},
  publisher = {Universit{\"a}tsverlag Potsdam},
  address   = {Potsdam},
  issn      = {2748-9957},
  doi       = {10.52905/hbph2023.1.62},
  pages     = {15},
  year      = {2023},
  abstract  = {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.},
  language  = {en}
}
@article{GrothSchefflerHermanussen2023,
  author    = {Groth, Detlef and Scheffler, Christiane and Hermanussen, Michael},
  title     = {Human growth data analysis and statistics - the 5th G{\"u}lpe International Student Summer School},
  series = {Human biology and public health},
  volume    = {1},
  journal   = {Human biology and public health},
  publisher = {Universit{\"a}tsverlag Potsdam},
  address   = {Potsdam},
  issn      = {2748-9957},
  doi       = {10.52905/hbph2023.1.70},
  pages     = {5},
  year      = {2023},
  abstract  = {The Summer School in G{\"u}lpe (Ecological Station of the University of Potsdam) offers an exceptional learning opportunity for students to apply their knowledge and skills to real-world problems. With the guidance of experienced human biologists, statisticians, and programmers, students have the unique chance to analyze their own data and gain valuable insights. This interdisciplinary setting not only bridges different research areas but also leads to highly valuable outputs. The progress of students within just a few days is truly remarkable, especially when they are motivated and receive immediate feedback on their questions, problems, and results. The Summer School covers a wide range of topics, with this year's focus mainly on two areas: understanding the impact of socioeconomic and physiological factors on human development and mastering statistical techniques for analyzing data such as changepoint analysis and the St. Nicolas House Analysis (SNHA) to visualize interacting variables. The latter technique, born out of the Summer School's emphasis on gaining comprehensive data insights and understanding major relationships, has proven to be a valuable tool for researchers in the field. The articles in this special issue demonstrate that the Summer School in G{\"u}lpe stands as a testament to the power of practical learning and collaboration. Students who attend not only gain hands-on experience but also benefit from the expertise of professionals and the opportunity to engage with peers from diverse disciplines.},
  language  = {en}
}
@article{RoeslerSchefflerHermanussen2023,
  author    = {R{\"o}sler, Antonia and Scheffler, Christiane and Hermanussen, Michael},
  title     = {No evidence of growth impairment after forced migration in Polish school children after World War II},
  series = {Human biology and public health},
  volume    = {1},
  journal   = {Human biology and public health},
  publisher = {Universit{\"a}tsverlag Potsdam},
  address   = {Potsdam},
  issn      = {2748-9957},
  doi       = {10.52905/hbph2023.1.68},
  pages     = {8},
  year      = {2023},
  abstract  = {Background: Migration is omnipresent. It can come hand in hand with emotional stress which is known to influence the growth of children. Objective: The aim of this study was to analyse whether type of migration (forced or voluntary) and the geographic direction had influenced the growth of Polish children after World War II. Sample and Methods: A sub dataset of 2,208 individuals between the ages of 2-20, created from data of the 2nd Polish Anthropological Survey carried out in 1966-1969, including anthropometrical data and social and demographic information based on questionnaire, was used to analyse migration effects. Results: No association could be found between the direction of migration and the height of the children. The confidence intervals of the means of all classified migration categories overlap significantly and the effect size of the influence of migration category on height is ds=.140, which is too low to see any effects, even if there were one. Conclusion: Neither forced nor voluntary migration in Poland after World War II led to a change in height in children of migrating families.},
  language  = {en}
}
@article{HermanussenScheffler2023,
  author    = {Hermanussen, Michael and Scheffler, Christiane},
  title     = {Nutrition, size, and tempo},
  series = {Human biology and public health},
  volume    = {2022},
  journal   = {Human biology and public health},
  number    = {3},
  publisher = {Universit{\"a}tsverlag Potsdam},
  address   = {Potsdam},
  issn      = {2748-9957},
  doi       = {10.52905/hbph2022.3.37},
  pages     = {11},
  year      = {2023},
  abstract  = {Nutrition is a prerequisite, but not a regulator of growth. Growth is defined as increase in size over time. The understanding of growth includes an understanding of the binary concept of physical time and individual tempo. Excess food causes tempo acceleration. Food restriction delays tempo. Tempo reflects the pace of life. It is a dynamic physical response to a broad spectrum of social, economic, political, and emotional (SEPE) factors and can affect life expectancy. Variations in tempo create distortions of the z-score patterns of height and weight. Illness or intermediate food shortage lead to intermediate halts in development and create short dips in the z-score patterns. Children who develop throughout life at delayed pace usually run at lower z-scores for height and weight, and show a characteristic adolescent trough; children who develop throughout life at faster than average pace usually run at higher z-scores and show a characteristic adolescent peak in their z-score patterns. During adolescence, almost half of the height variance is due to tempo variation. There is not one tempo for the whole body. Different organ systems grow and mature at different pace.},
  language  = {en}
}