Relationship between fine particulate matter (PM2.5) concentration and risk of hospitalization due to chronic obstructive pulmonary disease: a systematic review and meta-analysis

Delavar, Mouloud Agajani; Jahani, Mohammad ali; Sepidarkish, Mahdi; Alidoost, Saeide; Mehdinezhad, Hamed; Farhadi, Zeynab

doi:10.1186/s12889-023-17093-6

Table 1 Studies included in the meta-analysis investigating for the relationship between PM2.5 and COPD hospitalizations

From: Relationship between fine particulate matter (PM_2.5) concentration and risk of hospitalization due to chronic obstructive pulmonary disease: a systematic review and meta-analysis

Author/year	Study location	Study design	Total period measured/month	Pollution exposure	Lag days	Ages	Confounders
Belleudi, 2010 [25]	Rome/Italy	TS	2001–2005/57	PM2.5, PM10, Particle number concentration	0,1,2,3,4,5,6,01,02,05,06	35–64 65–74 ≥ 75	WD
Qiu, 2012 [26]	China/Hong Kong	TS	200–2005/72	PM10 PM2.5, PMc NO2, SO2, O3	0,1,2,3,4,5,01,02,03	All	TT,T,H, I,OAP(NO2,SO2, O3
Kloog, 2014 [27]	United States of America	CC	2000–2006/84	PM2.5	01	≥ 65	T
To, 2015 [28]	Canada/Ontario	TS	2003–2010/96	NO2 O3 PM2.5	0	All	A,G,WD,T,SE,Y,SS,RR
Lopez-VillarrubiaL/P, 2016 [29]	L/P de Gran Canaria	TS	2001–2005/60	PM2.5,PM10-2.5, O3, NO2, SO2, CO	01	All	TT,WD,H,UE,T,RH,BP,I
Lopez-VillarrubiaS/C, 2016	S/C de Tenerife Canaria	TS	2001–2005/60	PM2.5,PM10-2.5, O3, NO2, SO2, CO	01	All	TT,WD,H,UE,T,RH,BP,I
Chang, 2017 [30]	Taiwan/Taipei	TS	2015–2012/49	PM2.5, NO2, SO2	0,1,2,3,4,5,6,7,8,9,10	All < 75 > 75	T
Tian, 2018 [31]		TS	2010–2012/30	PM2.5	0,1,2,3,01,02,03	All < 65 > 65	H,WD,RH,T
Johnstonb, 2019 [32]	Australian/Tasmania, Victoria, New South Wales	CC	2009–2014/72	PM2.5	0,1,2	All	W.M,LT
JohnstonbTas, 2019	Australian/Tasmania	CC	2009–2014/72	PM2.5	0,1,2	All	W.M,LT
JohnstonbVic, 2019	Australian/Victoria	CC	2009–2014/72	PM2.5	0,1,2	All	W.M,LT
JohnstonbNew, 2019	Australian/New South Wales	CC	2009–2014/72	PM2.5	0,1,2	All	W.M,LT
Hopke, 2019 [33]	United States of America/New York	CC	2005–2016/144	PM2.5	0,01,02,03,04,05,06	≥ 18	LT,M,UMC,Se
Bao, 2020 [34]	Lanzhou/ China	TS	48	PM2.5, PMC,	1,2,3,4,5,6,7,01,02,03,04,05,06,07	All < 65 > 65	TT,WD,RH,T,H
Raji, 2020 [35]	Iran/Ahvaz	TS	120	O3, NO, NO2, SO2, CO, PM10, PM2.5	0,1,2,3,4,5,6,7	All	Se,T&RH, WD
Priyankara, 2021 [36]	Sri Lanka/Kandy	TS	2019/12	PM2.5, PM10	0, 1, 2, 3, 4, 5	All	WD, H
Capraz, 2021 [37]	Turkey/Istanbul	TS	2013–2017/59	PM10, PM2.5, NO2	0,1,2,3,4,5,6,7,8,9	All	T, RH
Jin, 2022 [38]	China/Guangzhou	CC	2014–2015/24	PM2.5	0,1,2,3,4,5,6,01,02,03,04,05,06	All	T, RH, H
Haung, 2021 [39]	Taiwan/Kaohsiung	CC	2007–2010/48	PM10, PM2.5, Nitrate, Sulfate, Organic carbon, Elemental carbon	0,1,2,3	All < 65 > 65	T.RH

Study Design: TS Time-Series, CC Case Crossover, Confounders: G Gender, A Age, Se Seasons, S Sex, OAP Other Air Pollution, TT Time Trend, W(T&H) Weather(Temperature,& Humidity), WD Weekdays, H Holidays, S-RI Self-Reported Influenza, RH Relative Humidity, DM Daily Meteorology, AA-SP Annual Age-Specific Population, ESS Education Smoking Status, Y Year, BMI Body Mass Index, DS Drinking Status, PA Physical Activity, DM Diabetes Mellitus, SS Socioeconomic Status, RR Region of Residence, LV Lifestyle Variables, (S,N,A,C,AB) (Sociodemographics, Neighbourhood, Anthropometrics, Comorbidities, Anhaematological Biomarkers), (H,H) (Hypertension, Hyperlipidemia), MF Meteorological Factor, LT Long Trend, M Monthly, UMC Underlying Medical Condition

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ISSN: 1471-2458

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