Objectives: Multiple regression approaches for estimating body mass by somatometry typically use stature and biiliocristal breadth. However, these measures were obtained largely from Europeans, Africans, and Indo-Mediterraneans, whereas mid-latitude Asians were not broadly reflected. Thus, new estimation formulas for circum-Pacific Asians were devised, and the accuracy was evaluated using raw individual data.
Materials And Methods: Targeting Asians in the traditional society or before the 1960s and performing multiple regression analysis (MRA) with body weight as the objective variable, and stature, body breadth, and product of head length/breadth (HLBpr) as explanatory variables. The target population was divided into four climate groups, and the formulas were prepared for each sex or the combined-sexes.
Results: The MRA by stature and body breadth indicated significant multiple correlation coefficients (R) in many formulas. R was higher in the combined-sexes. Among the four climate groups, the temperate group showed the highest R. In the East/Southeast Asians, R exceeded 0.8 in the MRA by stature and HLBpr. Substituting the raw data of 19th-century Japanese males, the temperate group formulas presented the least error, and the error in all the formulas using body breadth was <2 kg.
Conclusions: As body mass index varies significantly depending on some climatic factors, estimation formulas mixed with various climate groups are not desirable because of the large errors. For the mid-latitude Asians, the temperate group formulas are expected to have a smaller error; however, in the group where the proportion of underweight individuals was originally high, any formula tends to be overestimated.
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Free Neuropathol
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As calls for improved menstrual health management have gained momentum in sociopolitical contexts, period poverty and menstrual equity have gradually been established and recognized in the discipline of public health. These conversations typically take place in the context of low- and middle-income countries (LMICs) where donor-sponsored projects are already underway. Nevertheless, research on period poverty in high-income countries (HICs) is seldom performed.
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History, University of Delaware, Newark, Delaware, USA
One of the tenets of a posthuman vision is the eradication of disability through technology. Within this site of 'no future', as Alison Kafer describes, the disabled body is merged with artificial intelligence technology or transformed into a prosthetic superhuman. These imaginative possibilities are materialised in a future-oriented mindset in contemporary technological innovation, including hearing aids and other devices-such as vibrating vests to 'feel sounds' or sign language gloves, what design critic Liz Jackson defines as 'disability dongles'-designed to bypass deafness that simultaneously provide a 'cure' and create a 'post-deaf reality'.
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Institute for Quantitative Social Science, Harvard University, Cambridge, Massachusetts, USA.
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