LIFE Med Hiss: An innovative cohort design for public health

[Display omitted] The aim of MED HISS methodology was to test the effectiveness of a low-cost approach to study long-term effects of air pollution, applicable in all European countries. This approach is potentially exportable to other environmental issues where a cohort representative of the country...

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Published inMethodsX Vol. 6; pp. 82 - 91
Main Authors Gandini, Martina, Scarinzi, Cecilia, Bande, Stefano, Berti, Giovanna, Ciancarella, Luisella, Costa, Giuseppe, Demaria, Moreno, Ghigo, Stefania, Marinacci, Chiara, Piersanti, Antonio, Sebastiani, Gabriella, Cadum, Ennio
Format Journal Article
LanguageEnglish
Published Netherlands Elsevier B.V 01.01.2019
Elsevier
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Online AccessGet full text
ISSN2215-0161
2215-0161
DOI10.1016/j.mex.2018.12.007

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Abstract [Display omitted] The aim of MED HISS methodology was to test the effectiveness of a low-cost approach to study long-term effects of air pollution, applicable in all European countries. This approach is potentially exportable to other environmental issues where a cohort representative of the country population is needed. The cohort is derived from the National Health Interview Survey, compulsory in European countries, which has information on individual lifestyle factors. In Life Med Hiss approach, subjects recruited have been linked at individual level with health data and have been then followed-up for mortality and hospital admissions outcomes. Exposure values of air pollution (PM2.5 and NO2) have been assigned using national dispersion models, enhanced by the information derived from monitoring station with data fusion techniques, and then upscaled at municipality level (highest level of detail achievable for the Italian Survey). Results for mortality have been used to test the effectiveness of this methodology and are encouraging if compared with European ones. The advantages of this technique are summarized below: •It uses a cohort already available and compulsory in European countries•It uses air quality modelling data, available for most of the countries•It permits to implement versatile environmental surveillance systems
AbstractList The aim of MED HISS methodology was to test the effectiveness of a low-cost approach to study long-term effects of air pollution, applicable in all European countries. This approach is potentially exportable to other environmental issues where a cohort representative of the country population is needed. The cohort is derived from the National Health Interview Survey, compulsory in European countries, which has information on individual lifestyle factors. In Life Med Hiss approach, subjects recruited have been linked at individual level with health data and have been then followed-up for mortality and hospital admissions outcomes. Exposure values of air pollution (PM2.5 and NO ) have been assigned using national dispersion models, enhanced by the information derived from monitoring station with data fusion techniques, and then upscaled at municipality level (highest level of detail achievable for the Italian Survey). Results for mortality have been used to test the effectiveness of this methodology and are encouraging if compared with European ones. The advantages of this technique are summarized below: •It uses a cohort already available and compulsory in European countries•It uses air quality modelling data, available for most of the countries•It permits to implement versatile environmental surveillance systems.
The aim of MED HISS methodology was to test the effectiveness of a low-cost approach to study long-term effects of air pollution, applicable in all European countries. This approach is potentially exportable to other environmental issues where a cohort representative of the country population is needed.The cohort is derived from the National Health Interview Survey, compulsory in European countries, which has information on individual lifestyle factors. In Life Med Hiss approach, subjects recruited have been linked at individual level with health data and have been then followed-up for mortality and hospital admissions outcomes. Exposure values of air pollution (PM2.5 and NO2) have been assigned using national dispersion models, enhanced by the information derived from monitoring station with data fusion techniques, and then upscaled at municipality level (highest level of detail achievable for the Italian Survey). Results for mortality have been used to test the effectiveness of this methodology and are encouraging if compared with European ones.The advantages of this technique are summarized below: • It uses a cohort already available and compulsory in European countries • It uses air quality modelling data, available for most of the countries • It permits to implement versatile environmental surveillance systems Method name: LIFE Med Hiss project approach, Keywords: Air pollution, Epidemiological surveillance, Long term studies, National Health Interview Surveys, Exposure assessment
The aim of MED HISS methodology was to test the effectiveness of a low-cost approach to study long-term effects of air pollution, applicable in all European countries. This approach is potentially exportable to other environmental issues where a cohort representative of the country population is needed. The cohort is derived from the National Health Interview Survey, compulsory in European countries, which has information on individual lifestyle factors. In Life Med Hiss approach, subjects recruited have been linked at individual level with health data and have been then followed-up for mortality and hospital admissions outcomes. Exposure values of air pollution (PM2.5 and NO2) have been assigned using national dispersion models, enhanced by the information derived from monitoring station with data fusion techniques, and then upscaled at municipality level (highest level of detail achievable for the Italian Survey). Results for mortality have been used to test the effectiveness of this methodology and are encouraging if compared with European ones. The advantages of this technique are summarized below: •It uses a cohort already available and compulsory in European countries•It uses air quality modelling data, available for most of the countries•It permits to implement versatile environmental surveillance systems.The aim of MED HISS methodology was to test the effectiveness of a low-cost approach to study long-term effects of air pollution, applicable in all European countries. This approach is potentially exportable to other environmental issues where a cohort representative of the country population is needed. The cohort is derived from the National Health Interview Survey, compulsory in European countries, which has information on individual lifestyle factors. In Life Med Hiss approach, subjects recruited have been linked at individual level with health data and have been then followed-up for mortality and hospital admissions outcomes. Exposure values of air pollution (PM2.5 and NO2) have been assigned using national dispersion models, enhanced by the information derived from monitoring station with data fusion techniques, and then upscaled at municipality level (highest level of detail achievable for the Italian Survey). Results for mortality have been used to test the effectiveness of this methodology and are encouraging if compared with European ones. The advantages of this technique are summarized below: •It uses a cohort already available and compulsory in European countries•It uses air quality modelling data, available for most of the countries•It permits to implement versatile environmental surveillance systems.
[Display omitted] The aim of MED HISS methodology was to test the effectiveness of a low-cost approach to study long-term effects of air pollution, applicable in all European countries. This approach is potentially exportable to other environmental issues where a cohort representative of the country population is needed. The cohort is derived from the National Health Interview Survey, compulsory in European countries, which has information on individual lifestyle factors. In Life Med Hiss approach, subjects recruited have been linked at individual level with health data and have been then followed-up for mortality and hospital admissions outcomes. Exposure values of air pollution (PM2.5 and NO2) have been assigned using national dispersion models, enhanced by the information derived from monitoring station with data fusion techniques, and then upscaled at municipality level (highest level of detail achievable for the Italian Survey). Results for mortality have been used to test the effectiveness of this methodology and are encouraging if compared with European ones. The advantages of this technique are summarized below: •It uses a cohort already available and compulsory in European countries•It uses air quality modelling data, available for most of the countries•It permits to implement versatile environmental surveillance systems
The aim of MED HISS methodology was to test the effectiveness of a low-cost approach to study long-term effects of air pollution, applicable in all European countries. This approach is potentially exportable to other environmental issues where a cohort representative of the country population is needed. The cohort is derived from the National Health Interview Survey, compulsory in European countries, which has information on individual lifestyle factors. In Life Med Hiss approach, subjects recruited have been linked at individual level with health data and have been then followed-up for mortality and hospital admissions outcomes. Exposure values of air pollution (PM2.5 and NO 2 ) have been assigned using national dispersion models, enhanced by the information derived from monitoring station with data fusion techniques, and then upscaled at municipality level (highest level of detail achievable for the Italian Survey). Results for mortality have been used to test the effectiveness of this methodology and are encouraging if compared with European ones. The advantages of this technique are summarized below: • It uses a cohort already available and compulsory in European countries • It uses air quality modelling data, available for most of the countries • It permits to implement versatile environmental surveillance systems
The aim of MED HISS methodology was to test the effectiveness of a low-cost approach to study long-term effects of air pollution, applicable in all European countries. This approach is potentially exportable to other environmental issues where a cohort representative of the country population is needed.The cohort is derived from the National Health Interview Survey, compulsory in European countries, which has information on individual lifestyle factors. In Life Med Hiss approach, subjects recruited have been linked at individual level with health data and have been then followed-up for mortality and hospital admissions outcomes. Exposure values of air pollution (PM2.5 and NO₂) have been assigned using national dispersion models, enhanced by the information derived from monitoring station with data fusion techniques, and then upscaled at municipality level (highest level of detail achievable for the Italian Survey). Results for mortality have been used to test the effectiveness of this methodology and are encouraging if compared with European ones.The advantages of this technique are summarized below:•It uses a cohort already available and compulsory in European countries•It uses air quality modelling data, available for most of the countries•It permits to implement versatile environmental surveillance systems
Author Ghigo, Stefania
Gandini, Martina
Marinacci, Chiara
Piersanti, Antonio
Cadum, Ennio
Ciancarella, Luisella
Sebastiani, Gabriella
Demaria, Moreno
Scarinzi, Cecilia
Bande, Stefano
Costa, Giuseppe
Berti, Giovanna
AuthorAffiliation a University of Torino, Department of Clinical and Biological Science, AOU San Luigi Gonzaga, Regione Gonzole 10, 10043, Orbassano, Turin, Italy
f Department of Epidemiology, Lazio Regional Health Service, Rome, Italy
g National Institue of Statistics, Rome, Italy
c Air Quality Unit, Regional Environmental Protection Agency, Piedmont, Via Pio VII 9, 10135, Turin, Italy
d Laboratory of Atmospheric Pollution, ENEA-Bologna Research Center, Via Martiri di Monte Sole 4, 40129, Bologna, Italy
b Environmental Epidemiological Unit, Regional Environmental Protection Agency, Piedmont Region, Via Pio VII 9, 10135, Turin, Italy
e Regional Epidemiology Unit, ASL TO3 Piedmont Region, Via Sabaudia 164, 10095, Grugliasco, Italy
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– name: f Department of Epidemiology, Lazio Regional Health Service, Rome, Italy
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– name: a University of Torino, Department of Clinical and Biological Science, AOU San Luigi Gonzaga, Regione Gonzole 10, 10043, Orbassano, Turin, Italy
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10.1093/eurpub/cks184
10.1289/ehp.6684
10.1007/s10651-012-0210-7
10.1016/j.jacc.2012.08.001
10.1136/oemed-2014-102266
10.1136/thoraxjnl-2011-200711
10.1093/eurheartj/ehv216
10.4209/aaqr.2015.02.0058
10.1016/j.atmosenv.2007.05.018
10.1016/j.atmosenv.2013.11.006
10.1007/s11869-017-0520-x
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Keywords Epidemiological surveillance
Long term studies
Air pollution
National Health Interview Surveys
LIFE Med Hiss project approach
Exposure assessment
Language English
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References Marinacci, Grippo, Pappagallo, Sebastiani, Demaria, Vittori, Caranci, Costa (bib0020) 2013; 23
Thygesen, Alpert, Jaffe, Simoons, Chaitman, White, The Writing Group on behalf of the Joint ESC/ACCF/AHA/WHF Task Force for the Universal Definition of Myocardial Infarction (bib0080) 2012; 60
Halonen, Hansell, Gulliver, Morley, Blangiardo, Fecht (bib0015) 2015; 36
CORINE. Corine Land Cover 2006 Raster Data. Available
Nafstad, Haheim, Wisloff, Gram Oftedal, Holme (bib0070) 2004; 112
Van de Kassteele, Stein, Dekkers, Velders (bib0045) 2009; 16
Atkinson, Carey, Kent, van Staa, Anderson, Cook (bib0005) 2015; 72
(Accessed 05 October 2018).
Ghigo, Bande, Ciancarella, Mircea, Piersanti, Righini (bib0055) 2017; 11
EUROTHINE (Tackling Health Inequalities In Europe) (bib0030) 2005
Mircea, Grigoras, D’Isidoro, Righini, Adani, Briganti (bib0040) 2016; 16
Silibello, Calori, Brusasca, Giudici, Angelino, Fossati (bib0075) 2008; 23
Andersen, Bønnelykke, Hvidberg, Jensen, Ketzel, Loft (bib0010) 2012; 67
Gariazzo, Silibello, Finardi, Radice, Piersanti, Calori (bib0065) 2007; 41
de Keijzer, Agis, Ambrós, Arévalo, Baldasano, Bande (bib0025) 2016
Mircea, Ciancarella, Briganti, Calori, Cappelletti, Cionni, Costa, Cremona, D’Isidoro, Finardi, Pace, Piersanti, Righini, Silibello, Vitali, Zanini (bib0035) 2014; 84
Ignaccolo, Ghigo, Bande (bib0050) 2013; 20
Van de Kassteele (10.1016/j.mex.2018.12.007_bib0045) 2009; 16
Thygesen (10.1016/j.mex.2018.12.007_bib0080) 2012; 60
Atkinson (10.1016/j.mex.2018.12.007_bib0005) 2015; 72
de Keijzer (10.1016/j.mex.2018.12.007_bib0025) 2016
Ignaccolo (10.1016/j.mex.2018.12.007_bib0050) 2013; 20
Gariazzo (10.1016/j.mex.2018.12.007_bib0065) 2007; 41
Halonen (10.1016/j.mex.2018.12.007_bib0015) 2015; 36
Nafstad (10.1016/j.mex.2018.12.007_bib0070) 2004; 112
10.1016/j.mex.2018.12.007_bib0060
Silibello (10.1016/j.mex.2018.12.007_bib0075) 2008; 23
EUROTHINE (Tackling Health Inequalities In Europe) (10.1016/j.mex.2018.12.007_bib0030) 2005
Ghigo (10.1016/j.mex.2018.12.007_bib0055) 2017; 11
Andersen (10.1016/j.mex.2018.12.007_bib0010) 2012; 67
Marinacci (10.1016/j.mex.2018.12.007_bib0020) 2013; 23
Mircea (10.1016/j.mex.2018.12.007_bib0040) 2016; 16
Mircea (10.1016/j.mex.2018.12.007_bib0035) 2014; 84
References_xml – volume: 36
  start-page: 2653
  year: 2015
  end-page: 2661
  ident: bib0015
  article-title: Road traffic noise is associated with increased cardiovascular morbidity and mortality and all-cause mortality in London
  publication-title: Eur. Heart J.
– volume: 84
  start-page: 178
  year: 2014
  end-page: 188
  ident: bib0035
  article-title: Assessment of the AMS-MINNI system capabilities to predict air quality over Italy for the calendar year 2005
  publication-title: Atmos. Environ.
– year: 2005
  ident: bib0030
  article-title: EUROTHINE Homepage
– volume: 72
  start-page: 42
  year: 2015
  end-page: 48
  ident: bib0005
  article-title: Long-term exposure to outdoor air pollution and the incidence of chronic obstructive pulmonary disease in a national English cohort
  publication-title: Occup. Environ. Med.
– volume: 112
  start-page: 610
  year: 2004
  end-page: 615
  ident: bib0070
  article-title: Urban air pollution and mortality in a cohort of Norwegian men
  publication-title: Environ. Health Perspect.
– reference: (Accessed 05 October 2018).
– volume: 23
  start-page: 582
  year: 2013
  end-page: 587
  ident: bib0020
  article-title: Social inequalities in total and cause-specific mortality of a sample of the Italian population, from 1999 to 2007
  publication-title: Eur. J. Publ. Health
– volume: 60
  year: 2012
  ident: bib0080
  article-title: Third universal definition of myocardial infarction
  publication-title: J. Am. Coll. Cardiol.
– volume: 67
  start-page: 6
  year: 2012
  end-page: 11
  ident: bib0010
  article-title: Long-term exposure to air pollution and asthma hospitalisations in older adults: a cohort study
  publication-title: Thorax
– year: 2016
  ident: bib0025
  article-title: The association of air pollution and greenness with mortality and life expectancy in Spain: a small-area study
  publication-title: Environ. Int.
– volume: 20
  start-page: 109
  year: 2013
  end-page: 127
  ident: bib0050
  article-title: Functional zoning for air quality
  publication-title: Environ. Ecol. Stat.
– volume: 41
  start-page: 7286
  year: 2007
  end-page: 7303
  ident: bib0065
  article-title: A gas/aerosol air pollutants study over the urban area of Rome using a comprehensive chemical transport model
  publication-title: Atmos. Environ.
– volume: 23
  start-page: 333
  year: 2008
  end-page: 343
  ident: bib0075
  article-title: Modelling of PM10 concentrations over Milano urban area using two aerosol modules, Environ. Model
  publication-title: Softw.
– volume: 11
  start-page: 69
  year: 2017
  end-page: 82
  ident: bib0055
  article-title: Mapping air pollutants at municipality level in Italy and Spain in support to health impact evaluations
  publication-title: Air Qual. Atmos. Health
– reference: CORINE. Corine Land Cover 2006 Raster Data. Available:
– volume: 16
  start-page: 1253
  year: 2016
  end-page: 1267
  ident: bib0040
  article-title: Impact of grid resolution on aerosol predictions: a case study over Italy
  publication-title: Aerosol Air Qual. Res.
– volume: 16
  start-page: 321
  year: 2009
  end-page: 339
  ident: bib0045
  article-title: External drift kriging of NOx concentrations with dispersion model output in a reduced air quality monitoring network
  publication-title: Environ. Ecol. Stat.
– volume: 16
  start-page: 321
  issue: 3
  year: 2009
  ident: 10.1016/j.mex.2018.12.007_bib0045
  article-title: External drift kriging of NOx concentrations with dispersion model output in a reduced air quality monitoring network
  publication-title: Environ. Ecol. Stat.
  doi: 10.1007/s10651-007-0052-x
– volume: 23
  start-page: 582
  year: 2013
  ident: 10.1016/j.mex.2018.12.007_bib0020
  article-title: Social inequalities in total and cause-specific mortality of a sample of the Italian population, from 1999 to 2007
  publication-title: Eur. J. Publ. Health
  doi: 10.1093/eurpub/cks184
– volume: 112
  start-page: 610
  issue: 5
  year: 2004
  ident: 10.1016/j.mex.2018.12.007_bib0070
  article-title: Urban air pollution and mortality in a cohort of Norwegian men
  publication-title: Environ. Health Perspect.
  doi: 10.1289/ehp.6684
– volume: 20
  start-page: 109
  issue: 1
  year: 2013
  ident: 10.1016/j.mex.2018.12.007_bib0050
  article-title: Functional zoning for air quality
  publication-title: Environ. Ecol. Stat.
  doi: 10.1007/s10651-012-0210-7
– volume: 60
  issue: 16
  year: 2012
  ident: 10.1016/j.mex.2018.12.007_bib0080
  article-title: Third universal definition of myocardial infarction
  publication-title: J. Am. Coll. Cardiol.
  doi: 10.1016/j.jacc.2012.08.001
– volume: 72
  start-page: 42
  issue: January (1)
  year: 2015
  ident: 10.1016/j.mex.2018.12.007_bib0005
  article-title: Long-term exposure to outdoor air pollution and the incidence of chronic obstructive pulmonary disease in a national English cohort
  publication-title: Occup. Environ. Med.
  doi: 10.1136/oemed-2014-102266
– volume: 67
  start-page: 6
  issue: January (1)
  year: 2012
  ident: 10.1016/j.mex.2018.12.007_bib0010
  article-title: Long-term exposure to air pollution and asthma hospitalisations in older adults: a cohort study
  publication-title: Thorax
  doi: 10.1136/thoraxjnl-2011-200711
– volume: 36
  start-page: 2653
  issue: October (39)
  year: 2015
  ident: 10.1016/j.mex.2018.12.007_bib0015
  article-title: Road traffic noise is associated with increased cardiovascular morbidity and mortality and all-cause mortality in London
  publication-title: Eur. Heart J.
  doi: 10.1093/eurheartj/ehv216
– ident: 10.1016/j.mex.2018.12.007_bib0060
– year: 2005
  ident: 10.1016/j.mex.2018.12.007_bib0030
– volume: 16
  start-page: 1253
  year: 2016
  ident: 10.1016/j.mex.2018.12.007_bib0040
  article-title: Impact of grid resolution on aerosol predictions: a case study over Italy
  publication-title: Aerosol Air Qual. Res.
  doi: 10.4209/aaqr.2015.02.0058
– volume: 41
  start-page: 7286
  year: 2007
  ident: 10.1016/j.mex.2018.12.007_bib0065
  article-title: A gas/aerosol air pollutants study over the urban area of Rome using a comprehensive chemical transport model
  publication-title: Atmos. Environ.
  doi: 10.1016/j.atmosenv.2007.05.018
– volume: 84
  start-page: 178
  year: 2014
  ident: 10.1016/j.mex.2018.12.007_bib0035
  article-title: Assessment of the AMS-MINNI system capabilities to predict air quality over Italy for the calendar year 2005
  publication-title: Atmos. Environ.
  doi: 10.1016/j.atmosenv.2013.11.006
– volume: 11
  start-page: 69
  issue: 1
  year: 2017
  ident: 10.1016/j.mex.2018.12.007_bib0055
  article-title: Mapping air pollutants at municipality level in Italy and Spain in support to health impact evaluations
  publication-title: Air Qual. Atmos. Health
  doi: 10.1007/s11869-017-0520-x
– volume: 23
  start-page: 333
  year: 2008
  ident: 10.1016/j.mex.2018.12.007_bib0075
  article-title: Modelling of PM10 concentrations over Milano urban area using two aerosol modules, Environ. Model
  publication-title: Softw.
– issue: November
  year: 2016
  ident: 10.1016/j.mex.2018.12.007_bib0025
  article-title: The association of air pollution and greenness with mortality and life expectancy in Spain: a small-area study
  publication-title: Environ. Int.
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Snippet [Display omitted] The aim of MED HISS methodology was to test the effectiveness of a low-cost approach to study long-term effects of air pollution, applicable...
The aim of MED HISS methodology was to test the effectiveness of a low-cost approach to study long-term effects of air pollution, applicable in all European...
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SubjectTerms Air pollution
air quality
environmental monitoring
Environmental Science
Epidemiological surveillance
Europe
Exposure assessment
hospitals
LIFE Med Hiss project approach
lifestyle
long term effects
Long term studies
mortality
National Health Interview Surveys
nitrogen dioxide
particulates
public health
surveys
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Title LIFE Med Hiss: An innovative cohort design for public health
URI https://dx.doi.org/10.1016/j.mex.2018.12.007
https://www.ncbi.nlm.nih.gov/pubmed/30627518
https://www.proquest.com/docview/2179355046
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https://pubmed.ncbi.nlm.nih.gov/PMC6322053
https://doaj.org/article/f1c86294838940598a5d015ecf8a49a2
Volume 6
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