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Air pollution

Dust storms and city air raise Nicosia hospital admissions

Middleton N, Yiallouros P, Kleanthous S, et al. · Environmental health : a global access science source · 2008

Open access · cc by · source: Europe PMC

Same-day PM10 and lagged ozone increase hospital admissions in Nicosia, and dust-storm days add extra cardiovascular risk.

Study at a glance

Design
Other — 10-year daily time-series of hospital admissions vs PM10/ozone, including dust-storm days
N
Citywide Nicosia admissions 1995–2004 (population ~270,000); 63 dust-storm days — no single person-level N
Population
Hospital admissions in Nicosia, Cyprus
Outcome
All-cause, cardiovascular, and respiratory admissions associated with PM10, ozone, and dust storms

Structured fields used in claim comparison tables when every cited study has a complete layer.

Key findings

Each 10 μg/m³ same-day PM10 was linked to a 0.85% rise in all-cause admissions; lag-1 ozone raised cardiovascular admissions 2.91% per 10 ppb. On 63 dust-storm days, all-cause admissions were 4.8% higher. Respiratory admissions showed no overall PM10 association.

Methodology

Authors ran a 10-year (1995–2004) time-series of daily hospital admissions in Nicosia against urban PM10 and ozone, separating non-storm days from meteorologically confirmed dust-storm days and checking rural-monitor and co-pollutant models.

Limitations

Dust-storm inference is limited by only 63 event days; the study cannot separate particle composition from mass, and it does not measure individual-level exposure or mortality.

How this study connects

Role on claims

Each row is a claim on a concept or method page where this paper supports, challenges, or qualifies the statement. Roles are hand-checked — not a model guess.

  • SupportsAir pollutionconcept

    This library holds 9 empirical papers on air pollution with measured outcomes rather than reviews.

    Evidence for the claim as stated.

  • SupportsAir pollutionconcept

    Same-day PM10 and lagged ozone increase hospital admissions in Nicosia, and dust-storm days add extra cardiovascular risk.

    Evidence for the claim as stated.

  • SupportsAir pollutionconcept

    Associations from one city or one pollutant are not a universal dose–response, and traffic proximity is not the same as a measured concentration.

    Evidence for the claim as stated.

  • SupportsTime-Series Analysismethod

    A 10-year (1995–2004) Nicosia series linked daily hospital admissions to urban PM₁₀ and ozone, separating meteorologically confirmed dust-storm days. Each 10 μg/m³ same-day PM₁₀ was linked to a 0.85% rise in all-cause admissions; lag-1 ozone raised cardiovascular admissions 2.91% per 10 ppb. On 63 dust-storm days, all-cause admissions were 4.8% higher. Respiratory admissions showed no overall PM₁₀ association.

    Evidence for the claim as stated.

  • SupportsTime-Series Analysismethod

    City hospital series do not agree on which pollutant or lag carries the acute signal. Nicosia finds same-day PM₁₀ for all-cause admissions (0.85% per 10 μg/m³) and lag-1 ozone for cardiovascular admissions (2.91% per 10 ppb) but no overall PM₁₀–respiratory link. Canadian EDs find CO/NO₂ most consistent for cardiac diagnoses and ozone for asthma/COPD, with 3-hour averages null and Edmonton dominating the sample. Medicare finds PM₂.₅ mass plus composition for CVD, MI and respiratory admissions among those 65+. Treating 'time series show pollution raises admissions' as one coefficient hides those splits.

    Evidence for the claim as stated.

  • SupportsTime-Series Analysismethod

    The 2018 forest-wilting paper is an NDVI/climate time series, not a health Poisson model. Early wilting of 10.8% of forest and a spring-2019 NDVI gap of +0.015 answer a drought-impact question. That is a real disagreement of scientific target under the same method heading, not a second admissions estimate.

    Evidence for the claim as stated.

Open questions

Tensions this paper is part of

From concept pages' “where studies disagree.” Disagreement means the same question; scope means different assays, populations, or outcomes.

  • Scope difference — different assays, populations, or outcomes

    Associations from one city or one pollutant are not a universal dose–response, and traffic proximity is not the same as a measured concentration.

  • Scope difference — different assays, populations, or outcomes

    City hospital series do not agree on which pollutant or lag carries the acute signal. Nicosia finds same-day PM₁₀ for all-cause admissions (0.85% per 10 μg/m³) and lag-1 ozone for cardiovascular admissions (2.91% per 10 ppb) but no overall PM₁₀–respiratory link. Canadian EDs find CO/NO₂ most consistent for cardiac diagnoses and ozone for asthma/COPD, with 3-hour averages null and Edmonton dominating the sample. Medicare finds PM₂.₅ mass plus composition for CVD, MI and respiratory admissions among those 65+. Treating 'time series show pollution raises admissions' as one coefficient hides those splits.

  • Scope difference — different assays, populations, or outcomes

    The 2018 forest-wilting paper is an NDVI/climate time series, not a health Poisson model. Early wilting of 10.8% of forest and a spring-2019 NDVI gap of +0.015 answer a drought-impact question. That is a real disagreement of scientific target under the same method heading, not a second admissions estimate.

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Same topic cluster — not a recommendation engine.