Differences in prevalence arising from reference values for physiological and laboratory measurements used in studies of Tibetan highlanders and differences in study populations between the two studies

We conducted an epidemiological study of Tibetan highlanders in Tsarang Village, Mustang District, Nepal, and reported the findings in Arima et al. (Journal of Physiological Anthropology, 43:25, 2024). Subsequently, Sienna R. Craig and colleagues, who have conducted long-term research in the same region, published a commentary on our study, providing an opportunity for further scholarly discussion. In their commentary, Craig et al. highlighted differences between our study and theirs in the reference values used for disease classification, as well as the limited explanation provided in our article regarding the rationale for selecting these values. They further noted that these differences may have contributed to discrepancies in the summary and interpretation of population health indicators between the two studies. In this commentary, we seek to clarify the background and rationale underlying the reference values and analytical choices adopted in our study, and to discuss how differences in study design and population characteristics may influence prevalence estimates and interpretations of health status. Through this discussion, we aim to contribute to a more nuanced understanding of health assessment among Tibetan highlanders living at high altitude.

Authors

Institutions

Publication Details

Journal
Journal of PHYSIOLOGICAL ANTHROPOLOGY
Published
2026-02-04
DOI
https://doi.org/10.1186/s40101-026-00421-1
Primary Topic
High Altitude and Hypoxia
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Differences in prevalence arising from reference values for physiological and laboratory measurements used in studies of Tibetan highlanders and differences in study populations between the two studies

Hiroaki Arima, Sweta Koirala, Takayuki Nishimura
Journal of PHYSIOLOGICAL ANTHROPOLOGY
High Altitude and Hypoxia
article

Differences in prevalence arising from reference values for physiological and laboratory measurements used in studies of Tibetan highlanders and differences in study populations between the two studies

Hiroaki Arima, Sweta Koirala, Takayuki Nishimura
article en

Abstract

We conducted an epidemiological study of Tibetan highlanders in Tsarang Village, Mustang District, Nepal, and reported the findings in Arima et al. (Journal of Physiological Anthropology, 43:25, 2024). Subsequently, Sienna R. Craig and colleagues, who have conducted long-term research in the same region, published a commentary on our study, providing an opportunity for further scholarly discussion. In their commentary, Craig et al. highlighted differences between our study and theirs in the reference values used for disease classification, as well as the limited explanation provided in our article regarding the rationale for selecting these values. They further noted that these differences may have contributed to discrepancies in the summary and interpretation of population health indicators between the two studies. In this commentary, we seek to clarify the background and rationale underlying the reference values and analytical choices adopted in our study, and to discuss how differences in study design and population characteristics may influence prevalence estimates and interpretations of health status. Through this discussion, we aim to contribute to a more nuanced understanding of health assessment among Tibetan highlanders living at high altitude.

Journal of PHYSIOLOGICAL ANTHROPOLOGYVol. 45(1)
Kyushu University (JP), Nagasaki University (JP)
Japan Society for the Promotion of Science
Good health and well-being
Openalex Percentile: Top 65%
High Altitude and Hypoxia
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.