Evidence map›Paper›PMID 41716861›Full record

ReviewInternational journal of endocrinology and metabolism2025

Ambient Air Pollution and Cardiometabolic Health in the Tehran Lipid and Glucose Study: A Scoping Review of Two Decades of Evidence.

Amir Hossein Hasanpour, Mohammad Javad Mansourzadeh, Alireza Khajavi, Fereidoun Azizi, Farzad Hadaegh

Abstract readReview
In one paragraph

Review in International journal of endocrinology and metabolism, 2025. 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

5 authors.

Amir Hossein HasanpourPrevention of Metabolic Disorders Research Center, Research Institute for Metabolic and Obesity Disorders, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0002-0656-9383
Mohammad Javad MansourzadehPrevention of Metabolic Disorders Research Center, Research Institute for Metabolic and Obesity Disorders, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0002-0666-7928
Alireza KhajaviPrevention of Metabolic Disorders Research Center, Research Institute for Metabolic and Obesity Disorders, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0001-5238-792X
Fereidoun AziziEndocrine Research Center, Research Institute for Endocrine Disorders, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0002-6470-2517
Farzad HadaeghPrevention of Metabolic Disorders Research Center, Research Institute for Metabolic and Obesity Disorders, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0002-8935-2744

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Context: This scoping review investigates the association between ambient air pollution and cardiometabolic outcomes using data from the Tehran Lipid and Glucose Study (TLGS), a population-based cohort initiated in 1999. Evidence Acquisition: Five TLGS studies were included, each examining associations between ambient air pollutants and cardiometabolic outcomes such as hypertension (HTN), dyslipidemia, diabetes, cardiovascular morbidity, and mortality. Due to overlapping populations but differing outcome measures across studies, a meta-analysis was not feasible. Instead, a narrative synthesis was conducted, with results organized into a comparative matrix to facilitate cross-study evaluation. Results: The findings reveal heterogeneous effects of ambient air pollutants on cardiometabolic health across both short- and long-term pathways. Short-term exposures to nitrogen dioxide (NO₂) and particulate matter ≤ 10 µm in diameter (PM₁₀) were linked to higher systolic blood pressure (SBP), while sulfur dioxide (SO₂) was associated with elevated diastolic pressure. For lipid parameters, carbon monoxide (CO) and SO₂ corresponded with higher total cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), and non-high-density lipoprotein cholesterol (non-HDL-C) levels. Cardiovascular outcomes also worsened, as increases in the Air Quality Index (AQI), PM₁₀, SO₂, and CO were associated with higher risks of cardiovascular disease (CVD) hospitalization and mortality. Long-term exposures to ozone (O₃), PM₁₀, and SO₂ predicted incident HTN (strongest for PM₁₀), while CO was associated with elevated TC, TG, and adverse dyslipidemia phenotypes but not high LDL-C. Sulfur dioxide, O₃, and PM₁₀ also increased risks of dysglycemia, though no consistent associations with type 2 diabetes incidence or long-term mortality were observed. Conclusions: This review underscores the substantial influence of ambient air pollution on metabolic and cardiovascular health in Tehran. Short-term exposure to pollutants such as PM₁₀, SO₂, and CO is associated, either immediately or with lagged effects, with increased blood pressure, adverse lipid changes, and heightened cardiovascular risk, while long-term exposure to PM₁₀ and SO₂ exacerbates HTN and impairs glucose metabolism. These findings highlight the need for stricter air quality regulations and further investigation into the cumulative, long-term effects of air pollution in the metropolitan city of Tehran.

Indexed as

Ambient Air PollutionCardiometabolic Risk FactorsEnvironmental ExposureParticulate MatterScoping Review

Identifiers

PMID41716861
PMCPMC12915351

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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.