View source: R/masculinity_maternalmortality.R
The proportional relation between adult males and females (=
Masculinity index) is interesting for a number of reasons: (1)
it can point to basic problems in the datasets in that, say,
one sex is grossly over- or underrepresented (Herrmann et al.
1990, 310). (2) it may hint towards cultural reasons like sex-
Maternal mortality is a basic indicator for the health system of a given population. Maternal mortality is defined as dying during pregnancy or within the first 42 days after birth due to complications. Recently, McFadden and colleagues 2020 have provided an updated formula to calculate it from archaeological data.
an object of class mortaar_life_table for females
an object of class mortaar_life_table for males
The Masculinity index (MI) is defined for juvenile and older
individuals. Note that with a higher mortality rate of adult females,
an MI < 100 does not necessarily speak for an unbalanced MI in life.
Maternal mortality is calculated according to the formula provided by McFadden & Oxenham 2019 in the updated version of McFadden et al. 2020. McFadden and Oxenham show that with modern data a very high correlation is achieved by only comparing the absolute numbers of the age group 20 to 24. This has the additional advantage that for this age group anthropological aging methods are reasonable exact.
Output of masculinity index and maternal mortality.
MI = D>=15male / D>=15female
333.33 * (D20-24female / D20-24male) * MI - 76.07
# Calculate Masculinity index and maternal mortality from Nitra # dataset. nitra_prep <- prep.life.table(nitra, group="sex", agebeg = "age_start", ageend = "age_end") nitra_life <- life.table(nitra_prep) lt.sexrelation(nitra_life$f, nitra_life$m)
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