Evolution and characteristics of studies estimating attributable mortality to second-hand smoke: a systematic review.


Journal

European journal of public health
ISSN: 1464-360X
Titre abrégé: Eur J Public Health
Pays: England
ID NLM: 9204966

Informations de publication

Date de publication:
26 Mar 2024
Historique:
medline: 27 3 2024
pubmed: 27 3 2024
entrez: 26 3 2024
Statut: aheadofprint

Résumé

Several studies have estimated the impact of second-hand smoke (SHS) exposure on mortality in the population of different countries. This study aimed to identify and describe studies that have estimated the attributable mortality (AM) associated with SHS exposure in the adult population. A literature search was conducted in MEDLINE, EMBASE, Cochrane Library and CINAHL databases up to January 2023. Studies that estimated the AM associated with SHS exposure in the adult population and used a prevalence-dependent method were included. The main characteristics of the studies and their results were described. Fifty-three studies were included. Most of them were conducted in North America (n = 13), Europe (n = 14) and China (n = 6) and included lung cancer (n = 46) or ischaemic heart disease (n = 22) as causes of death. There was considerable variety in the population under study regarding the relationship with tobacco: non-smokers (n = 30); never-smokers (n = 9); both non and never-smokers (n = 2); the whole population (n = 1) and not known (n = 11). The age at which AM was estimated also varied between studies, ranging from 15  to 40 years and older. Studies estimating AM associated with SHS exposure are heterogeneous in terms of the causes of death studied, the age at which mortality is attributed, or the population to which mortality referred: consensus should be reached. Despite their importance, studies assessing AM to SHS are infrequent in low- and middle-income countries.

Sections du résumé

BACKGROUND BACKGROUND
Several studies have estimated the impact of second-hand smoke (SHS) exposure on mortality in the population of different countries. This study aimed to identify and describe studies that have estimated the attributable mortality (AM) associated with SHS exposure in the adult population.
METHODS METHODS
A literature search was conducted in MEDLINE, EMBASE, Cochrane Library and CINAHL databases up to January 2023. Studies that estimated the AM associated with SHS exposure in the adult population and used a prevalence-dependent method were included. The main characteristics of the studies and their results were described.
RESULTS RESULTS
Fifty-three studies were included. Most of them were conducted in North America (n = 13), Europe (n = 14) and China (n = 6) and included lung cancer (n = 46) or ischaemic heart disease (n = 22) as causes of death. There was considerable variety in the population under study regarding the relationship with tobacco: non-smokers (n = 30); never-smokers (n = 9); both non and never-smokers (n = 2); the whole population (n = 1) and not known (n = 11). The age at which AM was estimated also varied between studies, ranging from 15  to 40 years and older.
CONCLUSIONS CONCLUSIONS
Studies estimating AM associated with SHS exposure are heterogeneous in terms of the causes of death studied, the age at which mortality is attributed, or the population to which mortality referred: consensus should be reached. Despite their importance, studies assessing AM to SHS are infrequent in low- and middle-income countries.

Identifiants

pubmed: 38531674
pii: 7635393
doi: 10.1093/eurpub/ckae049
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Instituto de Salud Carlos III
Organisme : European Union

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press on behalf of the European Public Health Association.

Auteurs

Diana C López-Medina (DC)

Department of Preventive Medicine and Public Health, Universidade de Santiago de Compostela, Santiago de Compostela, Spain.
Carolina Foundation, Madrid, Spain.
Medicine, Universidad Cooperativa de Colombia, Medellín, Colombia.

Cristina Candal-Pedreira (C)

Department of Preventive Medicine and Public Health, Universidade de Santiago de Compostela, Santiago de Compostela, Spain.
Consortium for Biomedical Research in Epidemiology and Public Health (CIBER en Epidemiología y Salud Pública-CIBERESP), Madrid, Spain.

Julia Rey-Brandariz (J)

Department of Preventive Medicine and Public Health, Universidade de Santiago de Compostela, Santiago de Compostela, Spain.
Consortium for Biomedical Research in Epidemiology and Public Health (CIBER en Epidemiología y Salud Pública-CIBERESP), Madrid, Spain.

Carla Guerra-Tort (C)

Department of Preventive Medicine and Public Health, Universidade de Santiago de Compostela, Santiago de Compostela, Spain.

Guadalupe García (G)

Department of Preventive Medicine and Public Health, Universidade de Santiago de Compostela, Santiago de Compostela, Spain.

Lucia Martín-Gisbert (L)

Department of Preventive Medicine and Public Health, Universidade de Santiago de Compostela, Santiago de Compostela, Spain.

Beatriz Casal-Acción (B)

Scientific Advice Unit, Avalia-t. Galician Health Knowledge Agency, ACIS, Santiago de Compostela, Spain.

Alberto Ruano-Ravina (A)

Department of Preventive Medicine and Public Health, Universidade de Santiago de Compostela, Santiago de Compostela, Spain.
Consortium for Biomedical Research in Epidemiology and Public Health (CIBER en Epidemiología y Salud Pública-CIBERESP), Madrid, Spain.
Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain.

Leonor Varela-Lema (L)

Department of Preventive Medicine and Public Health, Universidade de Santiago de Compostela, Santiago de Compostela, Spain.
Consortium for Biomedical Research in Epidemiology and Public Health (CIBER en Epidemiología y Salud Pública-CIBERESP), Madrid, Spain.
Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain.

Mónica Pérez-Ríos (M)

Department of Preventive Medicine and Public Health, Universidade de Santiago de Compostela, Santiago de Compostela, Spain.
Consortium for Biomedical Research in Epidemiology and Public Health (CIBER en Epidemiología y Salud Pública-CIBERESP), Madrid, Spain.
Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain.

Classifications MeSH