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. 2021 Apr 22;7(4):e06820. doi: 10.1016/j.heliyon.2021.e06820

Table 2.

Characteristics of the studies selected in the review.

Author(s) (year) Country Analytical method Type of SE disadvantage Environmental risk factor(s) Health outcome(s)
Amarillo and Carreras (2012) Argentina Generalised additive regression Adults's education level PM10 URTI, LRTI
Bautista et al. (2009) Dominican Republic Multiple logistic regression Low income Indoor biomass fuel (charcoal) and PM4 LRTI
Brabin et al. (1994) United Kingdom Multiple logistic regression Major housing and unemployment problems Coal dust Asthma; wheezing
Cardoso et al. (2013) Brazil Hierarchical multivariate logistic regression Guarani Indigenous children Indoor biomass fuel LRTI
Doshi et al. (2015) Bangladesh Multivariate regression Overcrowding Indoor biomass fuel Influenza
Goodman et al. (2017) USA Generalised additive regression Low SES Indoor PM2.5; O3 Asthma
Le et al. (2012) Vietnam Poisson regression Poverty (SE index) PM10; O3; NO2; SO2 Influenza
Mustapha et al. (2011) Nigeria Multilevel logistic regression Low SES Indoor biomass fuel Asthma; rhinitis
Nascimento-Carvalho et al. (2002) Brazil Pearson's chi-squared test Low SES Tobacco Pneumonia
Romieu et al. (2004) Mexico Multiple Logistic regression Low SES PM10 Respiratory-related mortality
Silfeler et al. (2012) Turkey Logistic regression Low SES Tobacco LRTI

Notes. SE: Socioeconomic, SES: Socioeconomic status, URTI: Upper respiratory tract infection; LRTI: lower respiratory tract infection.