• Something wrong with this record ?

The impact of using new and conventional methods for the age-at-death estimation in a Czech medieval population (Mikulčice, 9th-10th century): the relationship between age-at-death and linear enamel hypoplasia

E. Zazvonilová, P. Velemínský, J. Brůžek,

. 2020 ; 77 (3) : 259-268. [pub] 2020Aug12

Language English Country Germany

Document type Journal Article

Recent advances in age-at-death estimation from the skeleton indicate that some of the most commonly used methods based on linear regression provide different results compared to new techniques using Bayesian statistics, and underestimate individuals over 60 years old which leads to biased prehistoric lifespans. The question is how the choice of age-at-death estimation method can influence subsequent comparisons between different populations or further analysis, such as assessment of the effect of early stress on mortality in adult individuals. The aim of our work is twofold: firstly, to test the differences between age estimation methods evaluating one indicator (the auricular surface), namely the original (Lovejoy et al. 1985), revised (Buckberry & Chamberlain 2002) and newly developed (Schmitt 2005) methods, on the Early Medieval adult population from Mikulčice - IIIrd church (Czech Republic, Central Europe). The secondary objective is to assess whether the different age distributions based on the different methods have an impact on age-dependent analyses, in this case the relationship between LEH and age-at-death. Our results showed that in the adult population from Mikulčice - IIIrd church, the original and revised methods provided different mortality profiles: the proportion of individuals older than 60 years acquired using Lovejoy's method was only 6.7%, while the newer methods increased the proportion to 26.7% (Buckberry & Chamberlain 2002) and 23.9% (Schmitt 2005). The choice of age-at-death estimation, and thus the different age distributions, also resulted in differences in the achieved age of individuals with and without stress markers, and specifically in the significance of the differences found. This finding seeks to draw attention to the fact that inconsistency in the use of different age-estimation methods can influence the results of further analyses and cause problems when comparing burial grounds.

References provided by Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc20024829
003      
CZ-PrNML
005      
20201222160008.0
007      
ta
008      
201125s2020 gw f 000 0|eng||
009      
AR
024    7_
$a 10.1127/anthranz/2020/1073 $2 doi
035    __
$a (PubMed)32236288
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a gw
100    1_
$a Zazvonilová, Eliška $u Department of Anthropology and Human Genetics, Faculty of Science, Charles University, Viničná 7 - 128 43 Prague 2, Czech Republic. Institute of Archaeology of the Czech Academy of Sciences, Prague, v.v.i., Letenská 4 - 118 01, Prague 1, Czech Republic.
245    14
$a The impact of using new and conventional methods for the age-at-death estimation in a Czech medieval population (Mikulčice, 9th-10th century): the relationship between age-at-death and linear enamel hypoplasia / $c E. Zazvonilová, P. Velemínský, J. Brůžek,
520    9_
$a Recent advances in age-at-death estimation from the skeleton indicate that some of the most commonly used methods based on linear regression provide different results compared to new techniques using Bayesian statistics, and underestimate individuals over 60 years old which leads to biased prehistoric lifespans. The question is how the choice of age-at-death estimation method can influence subsequent comparisons between different populations or further analysis, such as assessment of the effect of early stress on mortality in adult individuals. The aim of our work is twofold: firstly, to test the differences between age estimation methods evaluating one indicator (the auricular surface), namely the original (Lovejoy et al. 1985), revised (Buckberry & Chamberlain 2002) and newly developed (Schmitt 2005) methods, on the Early Medieval adult population from Mikulčice - IIIrd church (Czech Republic, Central Europe). The secondary objective is to assess whether the different age distributions based on the different methods have an impact on age-dependent analyses, in this case the relationship between LEH and age-at-death. Our results showed that in the adult population from Mikulčice - IIIrd church, the original and revised methods provided different mortality profiles: the proportion of individuals older than 60 years acquired using Lovejoy's method was only 6.7%, while the newer methods increased the proportion to 26.7% (Buckberry & Chamberlain 2002) and 23.9% (Schmitt 2005). The choice of age-at-death estimation, and thus the different age distributions, also resulted in differences in the achieved age of individuals with and without stress markers, and specifically in the significance of the differences found. This finding seeks to draw attention to the fact that inconsistency in the use of different age-estimation methods can influence the results of further analyses and cause problems when comparing burial grounds.
650    _2
$a dospělí $7 D000328
650    12
$a určení kostního věku $7 D000365
650    _2
$a antropologie fyzická $7 D000885
650    _2
$a Bayesova věta $7 D001499
650    12
$a hypoplazie zubní skloviny $7 D003744
650    _2
$a lidé $7 D006801
650    _2
$a lidé středního věku $7 D008875
651    _2
$a Česká republika $7 D018153
651    _2
$a Evropa $7 D005060
655    _2
$a časopisecké články $7 D016428
700    1_
$a Velemínský, Petr $u Department of Anthropology, National Museum, Václavské náměstí 68 - 110 00, Prague 1, Czech Republic.
700    1_
$a Brůžek, Jaroslav $u Department of Anthropology and Human Genetics, Faculty of Science, Charles University, Viničná 7 - 128 43 Prague 2, Czech Republic.
773    0_
$w MED00000473 $t Anthropologischer Anzeiger; Bericht uber die biologisch-anthropologische Literatur $x 0003-5548 $g Roč. 77, č. 3 (2020), s. 259-268
856    41
$u https://pubmed.ncbi.nlm.nih.gov/32236288 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y a $z 0
990    __
$a 20201125 $b ABA008
991    __
$a 20201222160005 $b ABA008
999    __
$a ok $b bmc $g 1598974 $s 1115515
BAS    __
$a 3
BAS    __
$a PreBMC
BMC    __
$a 2020 $b 77 $c 3 $d 259-268 $e 2020Aug12 $i 0003-5548 $m Anthropologischer anzeiger $n Anthropol. Anz. $x MED00000473
LZP    __
$a Pubmed-20201125

Find record

Citation metrics

Loading data ...

Archiving options

Loading data ...