Evidence map›Paper›PMID 42157864›Full record

ArticleAnthropological science : journal of the Anthropological Society of Nippon = Jinruigaku zasshi2024

Paleo-health of Neolithic wet-rice farmers in the Yangtze River Delta: a comparison with early millet farmers in northern China.

Kenji Okazaki, Hirofumi Takamuku, Yu Itahashi, Takashi Gakuhari, Minoru Yoneda, Mark Hudson, Xiaoting Zhu, Guoyao Rui, Jie Chen

Abstract read
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Article in Anthropological science : journal of the Anthropological Society of Nippon = Jinruigaku zasshi, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Preface to the special issue on Anthropology in the Dawn of Chinese Civilization.Anthropological science : journal of the Anthropological Society of Nippon = Jinruigaku zasshi · 2024
    Article
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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Kenji OkazakiDepartment of Anatomy, Faculty of Medicine, Tottori University, 683-8503, Japan.
Hirofumi TakamukuDoigahama Site Anthropological Museum, 759-6121, Japan.
Yu ItahashiFaculty of Humanities and Social Sciences, University of Tsukuba, 305-0006, Japan.
Takashi GakuhariCenter for Cultural Resource Studies, Kanazawa University, 920-1164, Japan.
Minoru YonedaThe University Museum, The University of Tokyo, 113-0033, Japan.
Mark HudsonLanguage and the Anthropocene Research Group, Max Planck Institute of Geoanthropology, 07745, Germany.
Xiaoting ZhuDepartment of Archaeology, Nanjing Museum, 210016, China.
Guoyao RuiZhejiang Provincial Institute of Cultural Relics and Archaeology, 310014, China.
Jie ChenDepartment of Archaeology, Shanghai Museum, 200003, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several cases that do not fit the agricultural adaptation model, in which people's health deteriorated with the shift from hunting-gathering to farming, have been reported, such as the introduction of rice agriculture during the Yayoi Period in Japan and the Iron Age in Southeast Asia, where health was maintained or improved. However, the health of rice farmers in the homeland areas has rarely been reported. This study aims to clarify the frequency and degree of stress markers inscribed on Neolithic human bones in the Yangtze River Delta, one of the origins of rice agriculture, and to elucidate the state of adaptation when humans first engaged in rice agriculture. The materials of this study are the Early Neolithic site of Majiabang, and the Late Neolithic sites of Guangfulin and Jiangzhuang. Several millet farming groups in northern China were used as comparative materials. The results show that the Neolithic rice farming groups in the Yangtze River Delta generally had a higher frequency of stress markers than the millet farming groups in northern China. In particular, the Late Neolithic Guangfulin assemblage had higher frequencies, while the Early Neolithic Majiabang assemblage tended to have relatively low frequencies of porotic hyperostosis and cribra orbitalia. These results suggest that people's health deteriorated in the Late Neolithic period, when the scale of paddy rice cultivation expanded, as a result of the new subsistence activities and rice-oriented diet.

Indexed as

cribra orbitalialinear enamel hypoplasiaNeolithic farmerspaleopathologyporotic hyperostosis

Identifiers

PMID42157864
PMCPMC13134063

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.