| Literature DB >> 26844892 |
Alison A Macintosh1, Ron Pinhasi2, Jay T Stock1.
Abstract
Early life conditions play an important role in determining adult body size. In particular, childhood malnutrition and disease can elicit growth delays and affect adult body size if severe or prolonged enough. In the earliest stages of farming, skeletal growth impairment and small adult body size are often documented relative to hunter-gatherer groups, though this pattern is regionally variable. In Central/Southeast Europe, it is unclear how early life stress, growth history, and adult body size were impacted by the introduction of agriculture and ensuing long-term demographic, social, and behavioral change. The current study assesses this impact through the reconstruction and analysis of mean stature, body mass, limb proportion indices, and sexual dimorphism among 407 skeletally mature men and women from foraging and farming populations spanning the Late Mesolithic through Early Medieval periods in Central/Southeast Europe (~7100 calBC to 850 AD). Results document significantly reduced mean stature, body mass, and crural index in Neolithic agriculturalists relative both to Late Mesolithic hunter-gatherer-fishers and to later farming populations. This indication of relative growth impairment in the Neolithic, particularly among women, is supported by existing evidence of high developmental stress, intensive physical activity, and variable access to animal protein in these early agricultural populations. Among subsequent agriculturalists, temporal increases in mean stature, body mass, and crural index were more pronounced among Central European women, driving declines in the magnitude of sexual dimorphism through time. Overall, results suggest that the transition to agriculture in Central/Southeast Europe was challenging for early farming populations, but was followed by gradual amelioration across thousands of years, particularly among Central European women. This sex difference may be indicative, in part, of greater temporal variation in the social status afforded to young girls, in their access to resources during growth, and/or in their health status than was experienced by men.Entities:
Mesh:
Year: 2016 PMID: 26844892 PMCID: PMC4742066 DOI: 10.1371/journal.pone.0148468
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Map of Central/Southeast Europe with geographical location of cemeteries.
1. Vlasac 2. Lepenski Vir 3. Vedrovice 4. Nitra Horné Krškany 5. Schwetzingen 6. Stuttgart-Mühlhausen 7. Polgár-Ferenci-hát 8. Hrtkovci-Gomolava 9. Brno-Tuřany 10. Ostojićevo 11. Polgár Kenderföld 12. Brno-Maloměřice 13. Tápiószele 14. Pottenbrunn 15. Hoštice. *: this site was used only for regional analyses.
Central/Southeast European cemetery details.
| Culture | ~Date (BC) | Cemetery | Location | Collection Housed At: | N (male/female) |
|---|---|---|---|---|---|
| Lepenski Vir | 7131–5838 | Vlasac | Vojvodina, Serbia | University of Belgrade | 27 (14/13) |
| Lepenski Vir | 6240–5845 | Lepenski Vir | Vojvodina, Serbia | University of Belgrade | 25 (11/14) |
| LBK | 5300–5100 | Vedrovice | Moravia, Czech Republic | Moravian Museum (Brno) | 22 (10/12) |
| LBK | 5370–4980 | Nitra Horné Krškany | western Slovakia | Moravian Museum (Brno) | 22 (12/10) |
| ALP | 5293–5068 | Polgár-Ferenci-hát | Hungary | Hungarian Natural History Museum (Budapest) | 10 (8/2) |
| LBK | 5260–5010 | Schwetzingen | Baden-Württemberg, Germany | Stuttgart Regional Council, State Conservation Office- Osteology (Konstanz) | 30 (16/14) |
| 5300–5070 | |||||
| LBK | 5200–4960 | Stuttgart-Mühlhausen | Baden-Württemberg, Germany | University of Tübingen | 41 (25/16) |
| Vinča | ~4950–4600 | Hrtkovci-Gomolava | Vojvodina, Serbia | Museum of Vojvodina (Novi Sad) | 16 (16/0) |
| Bell Beaker | ~2600–2000 | Hoštice 1 za Hanou | Moravia, Czech Republic | Masaryk University (Brno) | |
| Únětice | 2300–1700 | Brno-Tuřany | Moravia, Czech Republic | Masaryk University (Brno) | 17 (10/7) |
| Maros | ~1600/1500 | Ostojićevo | Vojvodina, Serbia | National Museum of Kikinda | 56 (28/28) |
| Füzesabony | 1550–1450 | Polgár Kenderföld | Hungary | Hungarian Natural History Museum (Budapest) | 24 (17/7) |
| Bosut | 850-600/500 | Hrtkovci-Gomolava | Vojvodina, Serbia | Museum of Vojvodina (Novi Sad) | 23 (8/15) |
| Celtic | 400–200 | Brno-Maloměřice | Moravia, Czech Republic | Moravian Museum (Brno) | 20 (15/5) |
| Scythian | 385–100 AD | Tápiószele | Hungary | Hungarian Natural History Museum (Budapest) | 28 (12/16) |
| Slavic | 800–850 AD | Pottenbrunn | Lower Austria | Vienna Natural History Museum |
* indicates calibrated radiocarbon date; N = number of individuals; LBK = Linearbandkeramik; ALP = Alföld Linear Pottery; dates from: [20–21,26,36,38,41,75,166,193–204], Zdeněk Tvrdý, pers. comm.
Summary statistics for body size variables by sex and time period.
| Stature (cms) | Body Mass (kgs) | Brachial Index | Crural Index | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| N | Mean | SD | N | Mean | SD | N | Mean | SD | N | Mean | SD | |
| Mesolithic | 23 | 171.15 | 6.82 | 16 | 70.47 | 6.12 | 8 | 79.08 | 7.46 | 7 | 83.60 | 2.70 |
| Neolithic | 76 | 163.36 | 5.65 | 81 | 62.11 | 7.52 | 57 | 76.77 | 1.98 | 62 | 82.68 | 2.23 |
| Bronze Age | 54 | 164.58 | 6.83 | 50 | 64.38 | 7.70 | 37 | 77.16 | 2.49 | 42 | 83.91 | 2.31 |
| Iron Age | 26 | 163.46 | 7.17 | 32 | 61.75 | 7.86 | 8 | 76.18 | 2.98 | 18 | 83.87 | 1.82 |
| Medieval | 17 | 166.61 | 7.23 | 17 | 66.38 | 11.9 | 15 | 75.89 | 1.12 | 17 | 83.72 | 1.90 |
| Mesolithic | 27 | 157.46 | 6.75 | 10 | 55.08 | 3.56 | 5 | 78.30 | 3.31 | 9 | 82.42 | 4.48 |
| Neolithic | 50 | 152.00 | 5.50 | 50 | 51.94 | 4.46 | 32 | 74.92 | 1.95 | 34 | 82.24 | 2.04 |
| Bronze Age | 40 | 154.36 | 5.69 | 38 | 54.96 | 4.35 | 29 | 75.58 | 2.72 | 30 | 83.71 | 1.54 |
| Iron Age | 32 | 152.77 | 5.39 | 35 | 54.52 | 4.00 | 16 | 75.26 | 2.54 | 18 | 84.54 | 1.52 |
| Medieval | 23 | 158.52 | 4.31 | 21 | 55.60 | 6.99 | 11 | 75.01 | 1.68 | 21 | 84.32 | 1.29 |
N: number of individuals; SD: standard deviation.
Results of one-way ANOVAs by sex and time period.
| Pair-wise comparisons | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Meso vs. | Neo vs. | BA vs. | IA | |||||||
| ANOVA | Neo | BA | IA | BA | IA | Med | IA | Med | Med | |
| Stature | <0.001 | <0.001 | <0.001 | <0.001 | ns | ns | ns | ns | ns | ns |
| Body Mass | <0.001 | <0.001 | <0.22 | <0.001 | ns | ns | ns | ns | ns | ns |
| Stature | <0.001 | <0.001 | ns | <0.016 | ns | ns | <0.001 | ns | <0.05 | <0.02 |
| Body Mass | <0.012 | ns | ns | ns | <0.048 | ns | <0.044 | ns | ns | ns |
| Crural Index | <0.001 | ns | ns | ns | <0.016 | <0.001 | <0.001 | ns | ns | ns |
values represent the p-values of ANOVAs or post-hoc tests significant at an α of 0.05; ns = not significant; Meso: Mesolithic; Neo: Neolithic; BA: Bronze Age; IA: Iron Age; Med: Medieval.
Fig 2Estimated body size variables by time period and sex.
A) Stature, B) Body mass, C) Brachial index, D) Crural index. Brackets indicate significant differences (* = p<0.05; ** = p<0.01).
Sexual dimorphism in body size variables by time period.
| Stature | Body Mass | |||||||
| Index | D | Index | D | |||||
| <0.001 | 108.69 | 0.687 | <0.001 | 127.94 | 0.888 | |||
| <0.001 | 107.47 | 0.692 | <0.001 | 119.58 | 0.604 | |||
| <0.001 | 106.62 | 0.586 | <0.001 | 117.14 | 0.566 | |||
| <0.001 | 106.99 | 0.605 | <0.001 | 113.26 | 0.493 | 0.458 | ||
| <0.001 | 105.10 | 0.517 | <0.001 | 119.39 | 0.423 | 0.432 | ||
| Brachial Index | Crural Index | |||||||
| Index | D | Index | D | |||||
| ns | 101.00 | 0.078 | 0.058 | ns | 101.43 | 0.172 | 0.131 | |
| <0.001 | 102.47 | 0.418 | 0.362 | ns | 100.54 | 0.100 | 0.082 | |
| <0.017 | 102.09 | 0.291 | 0.238 | ns | 100.24 | 0.053 | 0.041 | |
| ns | 101.22 | 0.157 | 0.132 | ns | 99.21 | 0.201 | 0.044 | |
| ns | 101.17 | 0.294 | 0.247 | ns | 99.29 | 0.183 | 0.149 | |
p: p-value of t-test; Index: Index of sexual dimorphism; r: correlation coefficient of effect size: large effect = ≥0.8, medium effect = 0.5, small effect = 0.2; large effect sizes are bolded; medium to large effect sizes are in italics; D: measure of overlap between male and female distributions, ranging from 0 (complete overlap, no dimorphism) to 1.0 (no overlap, complete dimorphism).
Significant results of one-way ANOVAs examining regional differences within time periods by sex.
| ANOVA | |||
|---|---|---|---|
| Variable | Males | Females | Pairwise Comparisons |
| Stature | ns | <0.001 | |
| Body mass | ns | <0.011 | |
| Crural index | <0.032 | ns | |
| Brachial index | <0.008 | ns | |
| Stature | ns | <0.001 | |
| Crural index | <0.002 | ns | |
| Stature | <0.001 | ns | |
| Body mass | <0.015 | <0.004 | Males: |
*: independent samples t-tests were used; VLA: Vlasac; LEP: Lepenski Vir; PFH: Polgár-Ferenci-hát; VED: Vedrovice; SCH: Schwetzingen; OST: Ostojićevo; BT: Brno-Tuřany; PK: Polgár Kenderföld; GOM: Gomolava; BM: Brno-Maloměřice; TAP: Tápiószele; values indicate p-values of ANOVAs and pairwise comparisons.