Association of geographical distribution of air quality index and type 2 diabetes mellitus in Isfahan, Iran

Tahmasebi, Azadeh; Amin, Mohammad Mehdi; Poursafa, Parinaz; Iraj, Bijan; Sadeghiyan, Hamidreza; Kelishadi, Roya; Sadeghian, Babak

doi:10.12669/pjms.312.6762

Cited by 3 publications

(4 citation statements)

References 15 publications

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“…Two ecological studies also suggest higher PM 2.5 levels to be associated with higher T2DM rates [ 78 , 125 ]. Several studies nonetheless found no significant or strong association for NO x [ 87 ], NO 2 [ 86 , 87 , 118 ], PM 10 [ 87 , 126 ], PM 2.5 [ 87 , 114 ], lower air quality [ 127 ], SO 2 (sulphur dioxide) [ 128 ], and benzo alpha pyrene [ 114 ]. One study demonstrated back extrapolated pollutant levels of NO 2 and NO x to be significantly associated with increased T2DM risk [ 87 ].…”

Section: Resultsmentioning

confidence: 99%

Environmental Risk Factors for Developing Type 2 Diabetes Mellitus: A Systematic Review

Dendup

Feng

Clingan

et al. 2018

IJERPH

312

206

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Different elements of the environment have been posited to influence type 2 diabetes mellitus (T2DM). This systematic review summarizes evidence on the environmental determinants of T2DM identified in four databases. It proposes a theoretical framework illustrating the link between environment and T2DM, and briefly discusses some methodological challenges and potential solutions, and opportunities for future research. Walkability, air pollution, food and physical activity environment and roadways proximity were the most common environmental characteristics studied. Of the more than 200 reported and extracted relationships assessed in 60 studies, 82 showed significant association in the expected direction. In general, higher levels of walkability and green space were associated with lower T2DM risk, while increased levels of noise and air pollution were associated with greater risk. Current evidence is limited in terms of volume and study quality prohibiting causal inferences. However, the evidence suggests that environmental characteristics may influence T2DM prevention, and also provides a reasonable basis for further investigation with better quality data and longitudinal studies with policy-relevant environmental measures. This pursuit of better evidence is critical to support health-orientated urban design and city planning.

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Section: Resultsmentioning

confidence: 99%

Environmental Risk Factors for Developing Type 2 Diabetes Mellitus: A Systematic Review

Dendup

Feng

Clingan

et al. 2018

IJERPH

312

206

View full text Add to dashboard Cite

show abstract

“…A previous study in Iran on the association of geographical distribution of air quality index and incidence rate of T2D using a geographic information system[ 38 ] showed that the number of participants with diabetes was higher in highly polluted areas compared to areas with the lower levels of air pollution, however, there was no significant correlation between the distribution of patients with diabetes and air pollution level. It is worth noting that the influence of air pollutants on the incidence rate of diabetes mellitus or blood parameters was not assessed.…”

Section: Discussionmentioning

confidence: 99%

“…It is worth noting that the influence of air pollutants on the incidence rate of diabetes mellitus or blood parameters was not assessed. [ 38 ] Another study in Iran[ 15 ] investigated the association of T2D prevalence with exposure to high levels of PM10 in adults between 2006 and 2011 in five large cities (Tehran, Ahwaz, Shiraz, Kermanshah, and Isfahan),[ 15 ] grouping the cities to Group 1 (Tehran, Shiraz with PM10 concentration <100 μg/m 3 ), and Group 2 (Kermanshah, Ahwaz, Esfahan, with PM10 concentration >100 μg/m 3 ). The 5-year average of PM10 concentration was higher in Group 2 compared to group 1.…”

Section: Discussionmentioning

confidence: 99%

The association of exposure to air pollution with changes in plasma glucose indices, and incidence of diabetes and prediabetes: A prospective cohort of first-degree relatives of patients with type 2 diabetes

Aminorroaya¹,

Feizi²,

Shahraki³

et al. 2023

J Res Med Sci

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Background: Increasing incidence rates of diabetes related to air pollution have been reported in high-income countries. However, few studies evaluated air pollution effect on plasma glucose indices, in addition to diabetes and prediabetes incidence in developing countries. This study investigated the association between exposure to common air pollutants and the changes plasma glucose indices over time. The incidence of type 2 diabetes (T2D) and prediabetes in future were also examined in association with exposure to air pollution. Materials and Methods: A total of 3828 first-degree relatives of patients with T2D who were prediabetes or had normal glucose tolerance (NGT) were enrolled in this study. Cox regression was used to assess the relationships between particulate matter (PM2.5 and PM10), nitrogen monoxide (NO), nitrogen dioxide, nitric oxides, sulfur dioxide (SO2), and ozone exposure and the incidence of T2D and prediabetes. We also applied a linear mixed model to assess the association between exposure to these air pollutants and changes in plasma glucose indices over time. Results: Air pollutants showed a significant positive association with changes in fasting plasma glucose (FPG), glycosylated hemoglobin (HbA1c), and 2 h oral glucose tolerance (OGTT) in participants with NGT and prediabetes. The maximum increase in plasma glucose indices was associated with NO concentration. Our study also showed exposure to all air pollutants except SO2 was significantly associated with an increased risk of developing T2D and prediabetes (Hazard ratio > 1, P < 0.001). Conclusion: According to our results, exposure to air pollution increases the risk of T2D and prediabetes incidence in our population. The exposure to air pollutants was also associated with increasing trend in FPG, HbA1c, and OGTT levels in both groups of NGT and prediabetic participants.

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“…PM 2.5 1 , 14 and AQI 27 can vary depending on seasons, time of the day and locations in the same city 26 . Various studies from India 11 , 14 , 28 , 29 and other parts of the world 30 - 32 have explored geographic information system (GIS)-based tools, e.g ., inverse distance weighting (IDW), kriging, etc ., to estimate the spatio-temporal distribution of air pollutants and its associated heath impact. GIS is a powerful technique that can be used to accurately analyze the spatial and temporal patterns of respiratory morbidity 32 , chemistry of pollutants and localization of the area of potential threat 33 .…”

mentioning

confidence: 99%

Geographic information system-based mapping of air pollution & emergency room visits of patients for acute respiratory symptoms in Delhi, India (March 2018-February 2019)

et al. 2022

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Background & objectives: Studies assessing the spatial and temporal association of ambient air pollution with emergency room visits of patients having acute respiratory symptoms in Delhi are lacking. Therefore, the present study explored the relationship between spatio-temporal variation of particulate matter (PM) 2.5 concentrations and air quality index (AQI) with emergency room (ER) visits of patients having acute respiratory symptoms in Delhi using the geographic information system (GIS) approach. Methods: The daily number of ER visits of patients having acute respiratory symptoms (less than or equal to two weeks) was recorded from the ER of four hospitals of Delhi from March 2018 to February 2019. Daily outdoor PM 2.5 concentrations and air quality index (AQI) were obtained from the Delhi Pollution Control Committee. Spatial distribution of patients with acute respiratory symptoms visiting ER, PM 2.5 concentrations and AQI were mapped for three seasons of Delhi using ArcGIS software. Results: Of the 70,594 patients screened from ER, 18,063 eligible patients were enrolled in the study. Winter days had poor AQI compared to moderate and satisfactory AQI during summer and monsoon days, respectively. None of the days reported good AQI (<50). During winters, an increase in acute respiratory ER visits of patients was associated with higher PM 2.5 concentrations in the highly polluted northwest region of Delhi. In contrast, a lower number of acute respiratory ER visits of patients were seen from the ‘moderately polluted’ south-west region of Delhi with relatively lower PM 2.5 concentrations. Interpretation & conclusions: Acute respiratory ER visits of patients were related to regional PM 2.5 concentrations and AQI that differed during the three seasons of Delhi. The present study provides support for identifying the hotspots and implementation of focused, intensive decentralized strategies to control ambient air pollution in worst-affected areas, in addition to the general city-wise strategies.

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Association of geographical distribution of air quality index and type 2 diabetes mellitus in Isfahan, Iran

Cited by 3 publications

References 15 publications

Environmental Risk Factors for Developing Type 2 Diabetes Mellitus: A Systematic Review

Environmental Risk Factors for Developing Type 2 Diabetes Mellitus: A Systematic Review

The association of exposure to air pollution with changes in plasma glucose indices, and incidence of diabetes and prediabetes: A prospective cohort of first-degree relatives of patients with type 2 diabetes

Geographic information system-based mapping of air pollution & emergency room visits of patients for acute respiratory symptoms in Delhi, India (March 2018-February 2019)

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