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Table 1 Characteristics of studies included in review

From: Impacts of the 2008 Great Recession on dietary intake: a systematic review and meta-analysis

Author & Year Location N Exposure Study Design and data collection years Outcome Category Statistical Methods Qualitya
Alves, 2019 [69] Portugal 43,273 Commencement of Great Recession Serial Cross-sectional Study: 2005–2006, 2014 Food intake Logistic regression with dummy time variables Medium
Antelo, 2017 [68] Spain 28,695 Unemployment rates Serial Cross-sectional Study: 2006, 2013 Food intake Propensity Score Matching, Gaussian kernel methods, difference-in-difference High
Asgeirsdottir, 2014 [67] Iceland 9807 Commencement of Great Recession Cohort Study:
2007, 2009
Food intake Fixed effects regression with dummy time variables High
Asgeirsdottir, 2016 [66] Iceland 3238 Commencement of Great Recession Cohort Study:
2007, 2009, 2012
Food intake Fixed effects regression with dummy time variables High
Bartoll, 2015 [65] Spain 47,156 Commencement of Great Recession Serial Cross-sectional Study: 2001, 2003–2004, 2006–2007, 2011–2012 Food intake Before-after model (linear probability regression model) with dummy time variables High
Bonaccio, 2014 [64] Italy 21,001 Commencement of Great Recession Serial Cross-sectional Study: 2005–2006, 2007–2010 Energy intake, dietary quality, food intake, macronutrients Binomial (Poisson) regression with dummy time variables High
Brinkman, 2010 [63] Haiti, Nepal, Niger 5493 Changes in food prices Serial Cross-sectional Study: 2006, 2007 Dietary quality Ordinary Least Squares Regression with changes in food prices Low
Colman, 2018 [61] USA 7100 Unemployment Cohort Study:
2008, 2010, 2012, 2014
Food intake Fixed effects regression High
Çırakli, 2019 [62] Turkey Not stated Commencement of Great Recession Serial Cross-sectional Study: 1994, 2001, 2008 Food intake ARDL bounds testing and cointegration analysis Low
Dave, 2012 [60] USA 1,353,612 Unemployment rates Serial Cross-sectional Study: 1990–2009 Dietary quality and food intake Reduced form cross-equation estimates (fixed effects) of average effect of state unemployment High
Di Pietro, 2018 [59] Italy 189,631 Unemployment rates Serial Cross-sectional Study: 2005–2012 Food intake Reduced form demand function (linear probability models estimated with OLS) High
Díaz-Méndez, 2019 [58] Spain 50,485 Commencement of Great Recession Serial Cross-sectional Study: 2005, 2011 Food intake Logistic regression with dummy time variables Medium
Duquenne, 2014 [57] Greece 932 Change over time Serial Cross-sectional Study: Years not stated Food intake Exploratory factor analysis and hierarchical cluster analysis Medium
Filippidis, 2014 [55] Greece 3503 Commencement of Great Recession Serial Cross-sectional Study: 2006, 2008, 2011 Food intake Binary logistic regression with time polynomials Medium
Filippidis, 2017 [56] Greece 5504 Commencement of Great Recession Serial Cross-sectional Study: 2006, 2008, 2010, 2011, 2015 Food intake Interrupted Time Series analysis Medium
Florkowski, 2012 [54] Poland Not stated Commencement of Great Recession Serial Cross-sectional Study: 2004, 2005, 2006, 2007, 2008 Food intake and macronutrients Households average yearly expenditure Low
Foscolou, 2017 [53] 20 Mediterranean islands 2749 Commencement of Great Recession Serial Cross-sectional Study: 2005–2008, 2009–2015 Dietary quality Independent samples t-test Low
García-Mayor, 2020 [70] Spain 72,574 Commencement of Great Recession Serial Cross-sectional Study: 2006, 2012, 2017 Food intake Multivariate logistic regression with dummy time variables High
Griffith, 2016a [51] UK 14,694 Commencement of Great Recession Cohort Study
2005–2007, 2010–12
Energy intake, dietary quality, Food intake Modelling price per calorie including time-varying factors High
Griffith, 2016b [52] UK Not stated Commencement of Great Recession Serial Cross-sectional Study: 1980–2007, 2007–2013 Energy intake, dietary quality, Food intake Backcasting including household characteristics and seasonal variation and price changes Medium
Griffith, 2013 [50] UK 15,850 Commencement of Great Recession Cohort Study
2005–2007, 2008–2009, 2010–2012.
Energy intake, dietary quality, Food intake, macronutrients Regression with dummy time variables High
Hasan, 2019 [49] Bangladesh 11,722 Commencement of Great Recession Serial Cross-sectional Study: 2005, 2010 Energy intake, dietary quality, food intake Difference-in-difference framework and Ordinary Least Squares models High
Iannotti, 2011 [48] Guatemala, Honduras, Nicaragua, Panama, Haiti, Ecuador, Peru 71,198 Actual vs. expected price changes Serial Cross-sectional Study: 2006,2008 Energy intake Quadratic Almost Ideal Demand System and Kernal Density Estimates Low
Jofre-Bonet, 2016 [47] UK 91,045 Unemployment rates, Great Recession commencement Serial Cross-sectional Study: 2001–2013 Food intake Non-linear estimation methods (Tobit and probit), reporting Average Marginal Effects High
Kim, 2019 [46] USA 1359 Neighbourhood indicators Serial Cross-sectional Study: 2000–2013 Food intake Bivariate analyses and logistic regression High
Kotelnikova, 2017 [45] Russia 17,645 Commencement of Great Recession Cohort Study:
1995, 1998, 2009, 2014
Food intake Median changes and percentage change Medium
Kuhns, 2014 [44] USA 100,000 Commencement of Great Recession Cohort Study:
2004–2010
Dietary quality Fixed effects regression High
Marcotte-Chenard, 2019 [43] USA 38,541 Commencement of Great Recession Serial Cross-sectional Study: 1999–2006, 2007–2008. Energy intake, macronutrients Factorial ANOVAs comparing intervals Medium
Martin-Prevel, 2012 [42] Burkina Faso 6019 Commencement of Great Recession Serial Cross-sectional Study: 2007, 2008 Food intake General linear mixed model High
Mattei, 2017 [41] Italy Not stated Commencement of Great Recession Serial Cross-sectional Study: 2000–2007, 2008–2015 Food intake Linear regression with dummy time variables Low
Mohseni-Cheraglou, 2016 [40] Global (ecological) Not stated Currency devaluation or banking distress Serial Cross-sectional, ecological: 1981–2007 Energy intake, macronutrients Calculating changes in growth rates Low
Ng, 2014 [39] USA 81,509 Commencement of Great Recession Serial Cross-sectional Study: 2003–2004, 2005–2006, 2007–2008, 2009–2010 Energy intake, food intake; 2-sample t tests High
Norte, 2019 [38] Spain 49,216 Commencement of Great Recession Serial Cross-sectional Study: 2006–2007, 2011–2012 Dietary quality Logistic regression with dummy time variables Medium
Nour, 2019 [37] Canada 281,421 Commencement of Great Recession Serial Cross-sectional Study: 2007–2008, 2008–2009, 2009–2011, 2011–2013 Food intake Logistic regression with dummy time variables High
Rajmil, 2013 [36] Spain 3982 Commencement of Great Recession Serial Cross-sectional Study: 2006. 2010–2012 Food intake Multiple linear regression with dummy time variables High
Regidor, 2019 [35] Spain Not stated GDP Serial Cross-sectional Study: 2004–2007, 2008–2010, 2011–2013, 2014–2016 Food intake Segmented linear regression models Low
Shabnam, 2016 [34] Pakistan 30,054 Commencement of Great Recession Serial Cross-sectional Study: 2005–2006, 2010–2011 Energy intake, Food intake, macronutrients Quantile regression on demand equation with dummy time variables High
Smed, 2017 [33] Denmark 3440 Consumer Confidence Index Serial Cross-sectional Study: 2008–2012 Energy intake, dietary quality, Food intake, macronutrients Fixed methods econometric methods High
Todd, 2014 [32] USA 9839 Commencement of Great Recession Serial Cross-sectional Study: 2005–2006, 2007–2008, 2009–2010 Dietary quality, Food intake, macronutrients Multivariate linear regression models with Ordinary Least Squares Medium
Todd, 2017 [31] USA 17,326 Commencement of Great Recession Serial Cross-sectional Study: 2005–2006, 2007–2008, 2009–2010, 2013–2014 Dietary quality, Food intake, macronutrients Multivariate linear regression models with Ordinary Least Squares High
Yang, 2019 [30] USA Not stated Commencement of Great Recession Serial Cross-sectional Study: 1998–2016 Food intake Bai and Perron test, Time-Varying AIDS and Iterated Seemingly Unrelated Regression Medium
  1. aAssessed using the Newcastle Ottawa Scale