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Spatiotemporal Associations Between Ambient Air Pollution and Neoplasm Morbidity in Eastern Kazakhstan: Age-Specific Patterns and Spatial Heterogeneity, 2014–2024

Author

Listed:
  • Gulnaz Sadykanova

    (Higher School of IT and Natural Sciences, S. Amanzholov University of East Kazakhstan, Ust-Kamenogorsk 070000, Kazakhstan)

  • Sanat Kumarbekuly

    (Faculty of Natural Sciences and Geography, Kazakh National Pedagogical University Named After Abay, Almaty 050010, Kazakhstan)

  • Ayauzhan Yessimbekova

    (Branch “Hematology Department of East Kazakhstan Region” LLP “Center of Hematology”, Ust-Kamenogorsk 070010, Kazakhstan)

  • Gulfat Kalelova

    (Higher School of IT and Natural Sciences, S. Amanzholov University of East Kazakhstan, Ust-Kamenogorsk 070000, Kazakhstan)

Abstract

Industrial settlements of the East Kazakhstan Region face a persistent technogenic burden driven by the dense concentration of non-ferrous metallurgy and heat-and-power enterprises, further compounded by unfavorable pollutant dispersion conditions inherent to the region’s mountain–basin topography. This study evaluated spatiotemporal associations between annual mean concentrations of NO 2 , SO 2 , H 2 S, and CO, the integrated air pollution index (API 5 ), and primary neoplasm morbidity across five settlements over the period 2014–2024. A retrospective ecological analysis was carried out for Ust-Kamenogorsk, Ridder, Altai, Shemonaikha, and the settlement of Glubokoe, incorporating Spearman’s rank correlation, lag analysis (1–3 years), and the Mann–Kendall trend test. Throughout the study period, neoplasm morbidity in the region consistently exceeded the national average by a factor of 1.3 to 2.0. In Ust-Kamenogorsk—where metallurgical SO 2 and NO 2 emissions are most heavily concentrated—strong positive associations were found in children for SO 2 ( ρ = 0.791, p < 0.05) and in adolescents for NO 2 and CO, reflecting elevated inhalation exposure under conditions of chronic pollution. The negative associations with API 5 observed in Ridder and Altai, where the index showed a statistically significant downward trend, are interpreted as evidence of the inertial character of oncological processes and the lasting influence of cumulative past exposure. Across all studied settlements, SO 2 emerged as the most consistent predictor of morbidity variation. These findings support prioritizing stricter emission controls for SO 2 and NO 2 from metallurgical and energy facilities, establishing oncological screening programs for children and adolescents in chronically polluted areas, and strengthening ambient air monitoring—measures whose effective implementation will require coordinated action between public health authorities and environmental regulators.

Suggested Citation

  • Gulnaz Sadykanova & Sanat Kumarbekuly & Ayauzhan Yessimbekova & Gulfat Kalelova, 2026. "Spatiotemporal Associations Between Ambient Air Pollution and Neoplasm Morbidity in Eastern Kazakhstan: Age-Specific Patterns and Spatial Heterogeneity, 2014–2024," IJERPH, MDPI, vol. 23(6), pages 1-19, June.
  • Handle: RePEc:gam:jijerp:v:23:y:2026:i:6:p:785-:d:1964545
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