Social inequalities in heat-attributable mortality in the city of Turin, northwest of Italy: a time series analysis from 1982 to 2018.


Journal

Environmental health : a global access science source
ISSN: 1476-069X
Titre abrégé: Environ Health
Pays: England
ID NLM: 101147645

Informations de publication

Date de publication:
16 11 2020
Historique:
received: 19 05 2020
accepted: 15 10 2020
entrez: 17 11 2020
pubmed: 18 11 2020
medline: 18 2 2021
Statut: epublish

Résumé

Understanding context specific heat-health risks in urban areas is important, especially given anticipated severe increases in summer temperatures due to climate change effects. We investigate social inequalities in the association between daily temperatures and mortality in summer in the city of Turin for the period 1982-2018 among different social and demographic groups such as sex, age, educational level, marital status and household occupants. Mortality data are represented by individual all-cause mortality counts for the summer months between 1982 and 2018. Socioeconomic level and daily mean temperature were assigned to each deceased. A time series Poisson regression with distributed lag non-linear models was fitted to capture the complex nonlinear dependency between daily mortality and temperature in summer. The mortality risk due to heat is represented by the Relative Risk (RR) at the 99th percentile of daily summer temperatures for each population subgroup. All-cause mortality risk is higher among women (1.88; 95% CI = 1.77, 2.00) and the elderly (2.13; 95% CI = 1.94, 2.33). With regard to education, the highest significant effects for men is observed among higher education levels (1.66; 95% CI = 1.38, 1.99), while risks for women is higher for the lower educational level (1.93; 95% CI = 1.79, 2.08). Results on marital status highlighted a stronger association for widower in men (1.66; 95% CI = 1.38, 2.00) and for separated and divorced in women (2.11; 95% CI = 1.51, 2.94). The risk ratio of household occupants reveals a stronger association for men who lived alone (1.61; 95% CI = 1.39, 1.86), while for women results are almost equivalent between alone and not alone groups. The associations between heat and mortality is unequal across different aspects of social vulnerability, and, inter alia, factors influencing the population vulnerability to temperatures can be related to demographic, social, and economic aspects. A number of issues are identified and recommendations for the prioritisation of further research are provided. A better knowledge of these effect modifiers is needed to identify the axes of social inequality across the most vulnerable population sub-groups.

Sections du résumé

BACKGROUND
Understanding context specific heat-health risks in urban areas is important, especially given anticipated severe increases in summer temperatures due to climate change effects. We investigate social inequalities in the association between daily temperatures and mortality in summer in the city of Turin for the period 1982-2018 among different social and demographic groups such as sex, age, educational level, marital status and household occupants.
METHODS
Mortality data are represented by individual all-cause mortality counts for the summer months between 1982 and 2018. Socioeconomic level and daily mean temperature were assigned to each deceased. A time series Poisson regression with distributed lag non-linear models was fitted to capture the complex nonlinear dependency between daily mortality and temperature in summer. The mortality risk due to heat is represented by the Relative Risk (RR) at the 99th percentile of daily summer temperatures for each population subgroup.
RESULTS
All-cause mortality risk is higher among women (1.88; 95% CI = 1.77, 2.00) and the elderly (2.13; 95% CI = 1.94, 2.33). With regard to education, the highest significant effects for men is observed among higher education levels (1.66; 95% CI = 1.38, 1.99), while risks for women is higher for the lower educational level (1.93; 95% CI = 1.79, 2.08). Results on marital status highlighted a stronger association for widower in men (1.66; 95% CI = 1.38, 2.00) and for separated and divorced in women (2.11; 95% CI = 1.51, 2.94). The risk ratio of household occupants reveals a stronger association for men who lived alone (1.61; 95% CI = 1.39, 1.86), while for women results are almost equivalent between alone and not alone groups.
CONCLUSIONS
The associations between heat and mortality is unequal across different aspects of social vulnerability, and, inter alia, factors influencing the population vulnerability to temperatures can be related to demographic, social, and economic aspects. A number of issues are identified and recommendations for the prioritisation of further research are provided. A better knowledge of these effect modifiers is needed to identify the axes of social inequality across the most vulnerable population sub-groups.

Identifiants

pubmed: 33198753
doi: 10.1186/s12940-020-00667-x
pii: 10.1186/s12940-020-00667-x
pmc: PMC7667731
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

116

Références

Int J Biometeorol. 2016 Sep;60(9):1367-75
pubmed: 26749223
J Health Soc Behav. 2013 Mar;54(1):128-43
pubmed: 23321283
Am J Epidemiol. 2003 Jun 15;157(12):1074-82
pubmed: 12796043
Int J Environ Res Public Health. 2017 Dec 13;14(12):
pubmed: 29236040
Epidemiology. 2006 May;17(3):315-23
pubmed: 16570026
Stat Med. 2010 Sep 20;29(21):2224-34
pubmed: 20812303
BMC Med Res Methodol. 2014 Apr 23;14:55
pubmed: 24758509
PLoS Med. 2018 Jul 24;15(7):e1002617
pubmed: 30040838
Public Health. 2018 Aug;161:127-137
pubmed: 29195682
Sci Total Environ. 2016 Nov 15;571:603-14
pubmed: 27432732
Soc Sci Med. 2007 Jan;64(1):77-94
pubmed: 17011690
Euro Surveill. 2005 Jul;10(7):161-5
pubmed: 16088045
Int J Biometeorol. 2018 May;62(5):709-722
pubmed: 28210860
Environ Health. 2010 Jul 16;9:37
pubmed: 20637065
Int J Epidemiol. 2013 Aug;42(4):1187-95
pubmed: 23760528
Maturitas. 2009 Oct 20;64(2):98-103
pubmed: 19748195
Epidemiology. 2013 Nov;24(6):809-19
pubmed: 24045717
J Stat Softw. 2011 Jul;43(8):1-20
pubmed: 22003319
Maturitas. 2012 Dec;73(4):295-9
pubmed: 23007006
J Epidemiol Community Health. 2006 May;60(5):417-23
pubmed: 16614332
Environ Health Perspect. 2006 Dec;114(12):1930-4
pubmed: 17185287
Int J Health Geogr. 2010 Aug 11;9:41
pubmed: 20701763
Occup Environ Med. 2007 Feb;64(2):93-100
pubmed: 16990293
J Epidemiol Community Health. 2006 Jan;60(1):7-12
pubmed: 16361448
Sci Total Environ. 2018 Jan 1;610-611:678-690
pubmed: 28822935
Epidemiology. 2005 Sep;16(5):613-20
pubmed: 16135936
Environ Health. 2009 Sep 16;8:40
pubmed: 19758453
J Environ Manage. 2016 Dec 1;183:314-324
pubmed: 27604755
J Hum Ergol (Tokyo). 1988 Sep;17(1):57-65
pubmed: 3221082
Lancet. 2019 Nov 16;394(10211):1836-1878
pubmed: 31733928
Epidemiology. 2014 Nov;25(6):781-9
pubmed: 25166878
Environ Res. 2015 Jul;140:177-84
pubmed: 25863590
Health Place. 2014 Nov;30:45-60
pubmed: 25199872
PLoS One. 2016 Sep 08;11(9):e0162464
pubmed: 27606592
Environ Res Lett. 2011 Sep 7;6(3):
pubmed: 23335945
Int J Environ Res Public Health. 2015 Dec 08;12(12):15567-83
pubmed: 26670239
Int J Biometeorol. 2015 Sep;59(9):1291-8
pubmed: 25523613
Int J Environ Res Public Health. 2016 Mar 04;13(3):
pubmed: 26959044
Int J Public Health. 2019 Jan;64(1):27-37
pubmed: 29577171
Epidemiology. 2017 Jan;28(1):72-76
pubmed: 27748681
BMJ Open. 2015 Sep 14;5(9):e009172
pubmed: 26369803
Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2010 Jan;53(1):75-81
pubmed: 19940963
Soc Sci Med. 2006 Dec;63(11):2847-63
pubmed: 16996668
Nat Commun. 2011 Jun 21;2:358
pubmed: 21694706
Int Arch Occup Environ Health. 2006 Oct;80(1):16-24
pubmed: 16523319
Maturitas. 2019 Oct;128:81-86
pubmed: 31561828
Environ Res. 2020 Mar;182:109107
pubmed: 32069750
J Biosoc Sci. 2001 Apr;33(2):279-303
pubmed: 11284632
Environ Res. 2015 Jan;136:449-61
pubmed: 25460667
Environ Health. 2013 Jul 03;12:55
pubmed: 23822609
Environ Pollut. 2011 Aug-Sep;159(8-9):2044-50
pubmed: 21295389
Lancet Planet Health. 2019 Jul;3(7):e297-e306
pubmed: 31230996
Epidemiology. 2011 Jan;22(1):1-5
pubmed: 21052007
Environ Health. 2012 Mar 25;11:16
pubmed: 22443423
Sci Total Environ. 2010 Aug 1;408(17):3513-8
pubmed: 20569969
Environ Health Perspect. 2014 Aug;122(8):831-6
pubmed: 24787277
Am J Epidemiol. 2016 Feb 15;183(4):286-93
pubmed: 26811244
Environ Int. 2013 Jun;56:65-77
pubmed: 23603733
Health Place. 2011 Mar;17(2):498-507
pubmed: 21216652

Auteurs

Marta Ellena (M)

Department Environmnetal Sciences, Informatics, and Statistics, Università Ca'Foscari Venezia, 30172, Mestre, Italy. marta.ellena@unive.it.
Regional Models and geo-Hydrological Impacts Division, Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC), Caserta, 81100, Italy. marta.ellena@unive.it.

Joan Ballester (J)

Barcelona Institute for Global Health (ISGlobal), Universitat Pompeu Fabra, CIBER Epidemiología y Salud Pública, 08003, Barcelona, Spain.

Paola Mercogliano (P)

Regional Models and geo-Hydrological Impacts Division, Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC), Caserta, 81100, Italy.

Elisa Ferracin (E)

Regional Epidemiology Unit, ASL TO3 Piedmont Region, 10095, Grugliasco, Italy.

Giuliana Barbato (G)

Regional Models and geo-Hydrological Impacts Division, Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC), Caserta, 81100, Italy.

Giuseppe Costa (G)

Regional Epidemiology Unit, ASL TO3 Piedmont Region, 10095, Grugliasco, Italy.

Vijendra Ingole (V)

Barcelona Institute for Global Health (ISGlobal), Universitat Pompeu Fabra, CIBER Epidemiología y Salud Pública, 08003, Barcelona, Spain.

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