@article{WilkeBoekerMummetal.2022,
  author    = {Wilke, Liza and Boeker, Sonja and Mumm, Rebecca and Groth, Detlef},
  title     = {The Social status influences human growth},
  series = {Human biology and public health},
  volume    = {2021},
  journal   = {Human biology and public health},
  number    = {3, Summer School Supplement},
  publisher = {Universit{\"a}tsverlag Potsdam},
  address   = {Potsdam},
  issn      = {2748-9957},
  doi       = {10.52905/hbph2021.3.22},
  pages     = {9},
  year      = {2022},
  abstract  = {Background: In the animal kingdom body size is often linked to dominance and subsequently the standing in social hierarchy. Similarly, human growth has been associated and linked to socioeconomic factors, including one's social status. This has already been proposed in the early 1900s where data on young German school girls from different social strata have been compared. Objectives: This paper aims to summarize and analyze these results and make them accessible for non-German speakers. The full English translation of the historic work of Dikanski (Dikanski, 1914) is available as a supplement. Further, this work aims to compare the historical data with modern references, to test three hypotheses: (1) higher social class is positively associated with body height and weight, (2) affluent people from the used historical data match modern references in weight and height and (3) weight distributions are skewed in both modern and historical populations. Methods: Comparison of historical data from 1914 with WHO and 1980s German data. The data sets, for both body weight and height for 6.0- and 7.0-year-old girls, were fitted onto centile curves and quantile correlation coefficients were calculated. Results: In historical data social status is positively associated with body height and weight while both are also normally distributed, which marks a significant difference to modern references. Conclusion: Social status is positively associated with height, signaling social dominance, making children of affluent classes taller. Children from the historical data do not reach the average height of modern children, even under the best environmental conditions. The children of the upper social class were not skewed in weight distribution, although they had the means to become as obese as modern children.},
  language  = {en}
}
@article{HermanussenGrothScheffler2022,
  author    = {Hermanussen, Michael and Groth, Detlef and Scheffler, Christiane},
  title     = {Human growth data analyses and statistics},
  series = {Human biology and public health},
  volume    = {2021},
  journal   = {Human biology and public health},
  number    = {3, Summer School Supplement},
  publisher = {Universit{\"a}tsverlag Potsdam},
  address   = {Potsdam},
  issn      = {2748-9957},
  doi       = {10.52905/hbph2021.3.29},
  pages     = {4},
  year      = {2022},
  abstract  = {Students learn by repetition. Repetition is essential, but repetition needs questioning, and questioning the repertoire belongs to the essential tasks of student education. Guiding students to questioning was and is our prime motive to offer our International Student Summer Schools. The data were critically discussed among the students, in the twilight of Just So Stories, common knowledge, and prompted questioning of contemporary solutions. For these schools, the students bring their own data, carry their preliminary concepts, and in group discussions, they may have to challenge these concepts. Catch-up growth is known to affect long bone growth, but different opinions exist to what extent it also affects body proportions. Skeletal age and dental development are considered appropriate measures of maturation, but it appears that both system develop independently and are regulated by different mechanisms. Body weight distributions are assumed to be skewed, yet, historic data disproved this assumption. Many discussions focused on current ideas of global growth standards as a common yardstick for all populations world-wide, with new statistical tools being developed including network reconstruction and evaluation of the reconstructs to determine the confidence of graph prediction methods.},
  language  = {en}
}