Evidence map›Paper›PMID 42181270›Full record

ArticleiScience2026

Global health perspectives on diet patterns micronutrients and climato-economic factors.

Junjia Pan, Xuanyao Yuan, Yehui Zhang, Tianyu Gao, Jiashun Zhang, Chun Hu, Lin Yang, Zhiming Xiang, Jiaxun Wang

Abstract read
In one paragraph

Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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.

Junjia PanThe Affiliated Panyu Central Hospital, Guangzhou Medical University, Guangzhou 510000, China.
Xuanyao YuanSouth China Normal University, Guangzhou 510000, China.
Yehui ZhangSouth China Normal University, Guangzhou 510000, China.
Tianyu GaoSouth China Normal University, Guangzhou 510000, China.
Jiashun ZhangSouth China Normal University, Guangzhou 510000, China.
Chun HuSouth China Normal University, Guangzhou 510000, China.
Lin YangThe Affiliated Panyu Central Hospital, Guangzhou Medical University, Guangzhou 510000, China.
Zhiming XiangThe Affiliated Panyu Central Hospital, Guangzhou Medical University, Guangzhou 510000, China.
Jiaxun WangThe Affiliated Panyu Central Hospital, Guangzhou Medical University, Guangzhou 510000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Global dietary patterns and micronutrient deficiencies are key modifiable risk factors for disease, with complex relationships to geographical, climatic, and economic conditions. This study evaluates the global disease burden attributable to these factors. Using the Köppen climate classification and World Bank income groups as a descriptive framework, we analyze the geographical distribution of this burden. Dietary risks and nutrient deficiencies collectively account for 10.32% of global deaths and 5.74% of DALYs. High sodium (2.65%), low fruit (2.40%), and low whole-grain intake (2.21%) are leading dietary risks associated with mortality, while iron deficiency contributes 3.85% to global YLDs. Burden distribution is heterogeneous: mortality in Africa/south Asia is associated with low fruit/vegetable intake; in east/southeast Asia with high sodium; and in North America/Europe with low whole grains. Non-fatal burden is associated with red meat intake in developed regions and with iron deficiency elsewhere. Findings highlight the need for context-specific interventions.

Indexed as

Health sciencesMedical specialtyMedicineNutritionPublic health

Identifiers

PMID42181270
PMCPMC13196453

What OpenQuestion holds

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LicenceCC BY-NC
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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 OpenQuestion graph.