Evidence map›Paper›PMID 40611195›Full record

ArticleJournal of health, population, and nutrition2025

Exploring the determinants of thyroid disorders in high-altitude western Himalaya: a geospatial and epidemiological study.

Arshad Ahmed, Kheraj, Alireza Mohammadi, Robert Bergquist

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Article in Journal of health, population, and nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Arshad AhmedDepartment of Geography, School of Basic Sciences, Central University of Haryana, Mahendergarh, India.
KherajDepartment of Geography, School of Basic Sciences, Central University of Haryana, Mahendergarh, India. kheraj.jnu@gmail.com.
Alireza MohammadiDepartment of Geography and Urban Planning, Faculty of Social Sciences, University of Mohaghegh Ardabili, Ardabil, Iran. alirezamohammadi20142014@gmail.com.
Robert BergquistIngerod, 454 94, Brastad, Sweden.

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundThe impact of high-altitude on thyroid function is an emerging field of research. Apart from environmental stress through hypoxia and iodine deficiency, socioeconomic, demographic, and dietary factors may play a role, particularly for those with pre-existing thyroid conditions. This study explored the prevalence and determinants of thyroid disorders (TDs) among the Gujjar and Bakarwal tribes in the high-altitude western Himalayas.

methodsWe assessed potential risk factors, with focus on environment, socioeconomy and lifestyle based on household survey data. A stratified random sampling method was employed to select a representative sample (n = 816) from 50 villages. The binary logistic regression model (BLRM) was used to identify risk factors for TDs, with model fit evaluated using pseudo-R

resultsThe TD prevalence was 18.6%. Higher altitude significantly increased likelihood of this disease (adjusted odds ratio [AOR]: 6.80, 95% CI: 1.62-28.50, p = 0.009). The Bakarwals had lower odds compared to the Gujjars (AOR: 0.19, 95% CI: 0.05-0.67, p = 0.010). Risk factors included living in extended families, smoking, other tobacco uses, traditional housing and specific dietary patterns. Protective factors included modern housing, higher education and iodized salt consumption. High-risk areas were concentrated to middle and high-altitude zones. The model demonstrated excellent fit (Hosmer-Lemeshow, p = 0.967, Nagelkerke R

conclusionThyroid disorders in this high-altitude population are influenced by a combination of environmental, demographic, and lifestyle factors. This study underscores the need for tailored public health interventions that address these determinants and reduce health disparities in geographically challenging regions. Future research should explore these findings in other high-altitude contexts to guide global thyroid health strategies.

Indexed as

AltitudeThyroid DiseasesAdolescentAdultDietFemaleHumansIndiaIodineLife StyleLogistic ModelsMaleMiddle AgedPrevalenceRisk FactorsSocioeconomic FactorsIodineBinary Logistic RegressionGeospatial analysisHigh-altitudePublic health interventionsRisk factorsThyroid disorders

Identifiers

PMID40611195
PMCPMC12231670

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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.