Evidence map›Paper›PMID 42316267›Full record

ArticleJournal of health, population, and nutrition2026

Socioecological determinants of chronic disease multimorbidity in high-altitude Tibetan populations: a cross-sectional study.

Yuanwu Zou, Lin Nan, Chen Chen, Xiaoxing Liu, Ciren Lamu, Huilan Feng, Lingxia Zeng

Abstract read
In one paragraph

Article in Journal of health, population, and nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yuanwu Zou *Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, 710061, Shaanxi, P.R. China.
Lin Nan *Cancer Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, P.R. China.
Chen ChenThe First Affiliated Hospital of Northwest University, Xi'an, 710043, Shaanxi, P.R. China.
Xiaoxing LiuDepartment of Clinical Laboratory, The People's Hospital of Ali, Tibet Autonomous Region, Ali, 859099, P.R. China.
Ciren LamuDepartment of Clinical Laboratory, The People's Hospital of Ali, Tibet Autonomous Region, Ali, 859099, P.R. China.
Huilan FengDepartment of Child Health Care, Xi'an People's Hospital (Xi'an Fourth Hospital), Xi'an, 710004, Shaanxi, China.
Lingxia ZengDepartment of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, 710061, Shaanxi, P.R. China. tjzlx@mail.xjtu.edu.cn.

Funding

Ali Regional Science and Technology Project ALKJ-BJCZ-2021-12Shaanxi Province Science and Technology Resources Open Sharing Platform Project 2023-CX-PT-47
6 · The paper itself

Abstract

backgroundDietary patterns are closely associated with the prevention and management of chronic diseases. Although large-scale national nutrition and health surveys have been conducted in China, evidence on dietary patterns and their associations with chronic diseases remains scarce in high-altitude regions, where unique dietary habits and lifestyles are prevalent.

methodsA cross-sectional study was conducted among high-altitude residents using food frequency questionnaires (FFQs) to assess dietary intake. Principal Component Analysis(PCA) was used to extract dietary patterns, and the scores were categorized into tertiles (from low to high: T1, T2, T3). Logistic regression models were used to examine their associations with chronic diseases, smoking, alcohol use, local tea drinking, and physical exercise.

resultsFive dietary patterns were identified: dry nuts and beverages, traditional Tibetan, three-high (characterized by high salt, high carbohydrate, and high fat intake), animal-predominant high protein, and high dietary fiber. Among the 606 participants, 39.9% reported having at least one chronic disease. Fully adjusted model showed that the three-high pattern (T2 vs. T1: OR = 1.81, 95% CI: 1.10-2.99; T3 vs. T1: OR = 1.90, 95% CI: 1.09-3.33), animal-predominant high protein pattern (T2 vs. T1: OR = 2.37, 95% CI: 1.42-3.94), smoking (OR = 1.88, 95% CI: 1.06-3.35), and local tea drinking (OR = 1.85, 95% CI: 1.13-3.02) were positively associated with chronic diseases. Conversely, the traditional Tibetan pattern (T2 vs. T1: OR = 0.47, 95% CI: 0.28-0.80) and physical exercise (OR = 0.62, 95% CI: 0.39-0.99) were negatively associated with chronic diseases.

conclusionAmong high-altitude populations, traditional Tibetan pattern and physical exercise appear to be protective factors against chronic diseases, while the three-high pattern, animal-predominant high protein pattern, smoking, and local tea drinking constitute potential risk factors. Modifying dietary pattern and lifestyle thus play a significant role in the prevention and management of chronic diseases in these unique environments.

Indexed as

AltitudeDietFeeding BehaviorAdultChronic DiseaseComorbidityCross-Sectional StudiesExerciseFemaleHumansLife StyleMaleMiddle AgedRisk FactorsSmokingTibetChronic diseasesDietary patternFactor analysisHigh-altitude populationsTibetan diet

Identifiers

PMID42316267
PMCPMC13556025

What Socratic holds

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Registered trials

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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 Socratic graph.