Impact of the Economic Crisis on Body Mass Index in Spain: An Intersectional Multilevel Analysis Using a Socioeconomic and Regional Perspective

  1. Hernández-Yumar, Aránzazu 1
  2. Wemrell, Maria
  3. Abásolo-Alessón, Ignacio 1
  4. González López-Valcárcel, Beatriz
  5. Merlo, Juan
  1. 1 Universidad de La Laguna
    info

    Universidad de La Laguna

    San Cristobal de La Laguna, España

    ROR https://ror.org/01r9z8p25

Revista:
Population Research and Policy Review

ISSN: 0167-5923 1573-7829

Año de publicación: 2023

Volumen: 42

Número: 4

Tipo: Artículo

DOI: 10.1007/S11113-023-09811-0 GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: Population Research and Policy Review

Resumen

The Great Recession hit Spain deteriorating the living conditions of many Spanish people, increasing the prevalence of several chronic health issues, including obesity, and affecting health inequalities. We analyse the impact of this economic crisis on body mass index (BMI) disparities in Spain, from two perspectives: the socioeconomic and the territorial, through the application of an intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy. We use data from the Spanish National Health Surveys of 2006/2007, 2011/2012 and 2016/2017 to build multilevel linear regression models and estimate BMI averages and components of variance. We find a greater increase in the overall average BMI and a widening of the socioeconomic disparities during the hardest years of the crisis. However, these differences decreased when the economic situation in the country began to improve. Both socioeconomic and geographical information contribute to mapping the distribution of BMI in the population. However, according to the ICC values, considering the regional perspective provides a better understanding of the distribution of the BMI, during the period of economic crisis, in the Spanish population. Therefore, regional policies can play an important role in counteracting obesity in times of crisis.

Referencias bibliográficas

  • Ailshire, J. A., & House, J. S. (2011). The unequal burden of weight gain: An intersectional approach to understanding social disparities in BMI trajectories from 1986 to 2001/2002. Social Forces., 90, 397–423. https://doi.org/10.1093/sf/sor001
  • Antentas, J. M., & Vivas, E. (2014). Impact of the economic crisis on the right to a healthy diet. SESPAS report 2014. Gaceta Sanitaria., 28, 58–61. https://doi.org/10.1016/j.gaceta.2014.04.006
  • Aparicio, A. (2010). High-school dropouts and transitory labor market shocks: The case of the Spanish housing boom. Institute for the Study of Labor (IZA).
  • ASPCAT. (2019). Pla integral per a la promoció de la salut mitjançant l'activitat física i l'amitanció saludable (PAAS) [Web page]. Retrieved March 12, 2019 from http://salutpublica.gencat.cat/ca/sobre_lagencia/Plans-estrategics/PAAS/
  • Axelsson, F. S., Mulinari, S., Wemrell, M., Leckie, G., Perez-Vicente, R., & Merlo, J. (2018). Chronic obstructive pulmonary disease in Sweden: An intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy. SSM Population Health., 4, 334–346. https://doi.org/10.1016/j.ssmph.2018.03.005
  • Bacigalupe, A., & Escolar-Pujolar, A. (2014). The impact of economic crises on social inequalities in health: What do we know so far? International Journal for Equity in Health., 13(1), 52. https://doi.org/10.1186/1475-9276-13-52
  • Ballesteros Arribas, J. M., Dal-Re Saavedra, M., Pérez-Farinós, N., & Villar, V. C. (2007). La estrategia para la nutrición, actividad física y prevención de la obesidad: Estrategia NAOS. Revista Española De Salud Pública., 81, 443–449. https://doi.org/10.1590/S1135-57272007000500002
  • Balloo, K., Hosein, A., Byrom, N., & Essau, C. A. (2022). Differences in mental health inequalities based on university attendance: Intersectional multilevel analyses of individual heterogeneity and discriminatory accuracy. SSM Population Health., 19, 101149. https://doi.org/10.1016/j.ssmph.2022.101149
  • Basterra-Gortari, F. J., Bes-Rastrollo, M., Forga, L. I., Martínez, J. A., & Martínez-González, M. A. (2008). Validación del índice de masa corporal auto-referido en la Encuesta Nacional de Salud. Anales Del Sistema Sanitario De Navarra., 30, 373–381.
  • Bes-Rastrollo, M., Pérez Valdivieso, J., Sanchez-Villegas, A., Alonso, A., & Martínez-González, M. (2005). Validation of self-reported weight and body mass index of the participants of a cohort of university graduates. Revista Española De Obesidad., 3, 352–358.
  • Böckerman, P., Johansson, E., Helakorpi, S., Prättälä, R., Vartiainen, E., & Uutela, A. (2007). Does a slump really make you thinner? Finnish micro-level evidence 1978–2002. Health Economics., 16(1), 103–107. https://doi.org/10.1002/hec.1156
  • Bonaccio, M., di Castelnuovo, A., Bonanni, A., Costanzo, S., de Lucia, F., Persichillo, M., Zito, F., Donati, M. B., de Gaetano, G., & Iacoviello, L. (2014). Decline of the mediterranean diet at a time of economic crisis. Results from the Moli-sani study. Nutrition, Metabolism and Cardiovascular Diseases., 24, 853–860. https://doi.org/10.1016/j.numecd.2014.02.014
  • Bowleg, L. (2012). The problem with the phrase women and minorities: Intersectionality-an important theoretical framework for public health. American Journal of Public Health., 102, 1267–1273. https://doi.org/10.2105/AJPH.2012.300750
  • Browne, W. J. (2017). MCMC estimation in MLwiN, v 3.00: Centre of multilevel modelling. University of Bristol.
  • Buckland, G., Bach, A., & Serra-Majem, L. (2008). Obesity and the Mediterranean diet: A systematic review of observational and intervention studies. Obesity Reviews., 9, 582–593. https://doi.org/10.1111/j.1467-789X.2008.00503.x
  • CAIB. (2014). Alimentació saludable i vida activa [Web page]. Retrieved March 12, 2019 from http://e-alvac.caib.es/es/index.html
  • Carmona-Rosado, L., & Zapata-Moya, Á. (2022). The preventive efforts of the Spanish autonomous regions and socio-economic inequality in childhood obesity or overweight. Gaceta Sanitaria, 36(3), 214–220. https://doi.org/10.1016/j.gaceta.2021.08.004
  • Catalano, R., Goldman-Mellor, S., Saxton, K., Margerison-Zilko, C., Subbaraman, M., LeWinn, K., & Elizabeth, A. (2011). The health effects of economic decline. Annual Review of Public Health., 32, 431–450. https://doi.org/10.1146/annurev-publhealth-031210-101146
  • Collins, P. H. (1990). Black feminist thought: Knowledge, consciousness, and the politics of empowerment. Routledge.
  • Conde-Ruiz J. I., Díaz M, Marín C, Rubio-Ramírez J. (2016). Sanidad, educación y protección social: Recortes durante la crisis. Estudios sobre la Economía Española-2016/17. Madrid: Estudios sobre la Economía Española
  • Costa-Font, J., & Gil, J. (2008). What lies behind socio-economic inequalities in obesity in Spain? A decomposition approach. Food Policy, 33(1), 61. https://doi.org/10.1016/j.foodpol.2007.05.005
  • Costa-Font, J., Hernandez-Quevedo, C., & Jimenez-Rubio, D. (2014). Income inequalities in unhealthy life styles in England and Spain. Economics and Human Biology, 13, 66–75. https://doi.org/10.1016/j.ehb.2013.03.003
  • Coveney, M., García-Gómez, P., van Doorslaer, E., & van Ourti, T. (2016). Health disparities by income in Spain before and after the economic crisis. Health Economics., 25(S2), 141–158. https://doi.org/10.1002/hec.3375
  • Crenshaw, K. (1989). Demarginalizing the intersection of race and sex: A black feminist critique of antidiscriminiation doctrine, feminist theory and antiracist politics. The University of Chicago Legal Forum., 140, 139–167.
  • Dávila Quintana, C. D., & López-Valcárcel, B. G. (2009). Crisis económica y salud. Gaceta Sanitaria., 23, 261–265. https://doi.org/10.1590/S0213-91112009000400001
  • Davillas, A., & Jones, A. M. (2020). Regional inequalities in adiposity in England: distributional analysis of the contribution of individual-level characteristics and the small area obesogenic environment. Economics and Human Biology., 38, 100887. https://doi.org/10.1016/j.ehb.2020.100887
  • de Goeij, M. C., Suhrcke, M., Toffolutti, V., van de Mheen, D., Schoenmakers, T. M., & Kunst, A. E. (2015). How economic crises affect alcohol consumption and alcohol-related health problems: A realist systematic review. Social Science and Medicine, 131, 131–146. https://doi.org/10.1016/j.socscimed.2015.02.025
  • Devaux, M., & Sassi, F. (2013). Social inequalities in obesity and overweight in 11 OECD countries. European Journal of Public Health., 23, 464–469. https://doi.org/10.1093/eurpub/ckr058
  • Egger, G., & Swinburn, B. (1997). An, “ecological” approach to the obesity pandemic. BMJ, 315(7106), 477–480. https://doi.org/10.1136/bmj.315.7106.477
  • Escolar-Pujolar, A., Bacigalupe, A., & San, S. M. (2014). European economic crisis and health inequities: Research challenges in an uncertain scenario. International Journal for Equity in Health., 13(1), 59. https://doi.org/10.1186/s12939-014-0059-5
  • Evans, C. R., & Erickson, N. (2019). Intersectionality and depression in adolescence and early adulthood: A MAIHDA analysis of the national longitudinal study of adolescent to adult health, 1995–2008. Social Science and Medicine, 220, 1–11. https://doi.org/10.1016/j.socscimed.2018.10.019
  • Evans, C. R., Leckie, G., & Merlo, J. (2020). Multilevel versus single-level regression for the analysis of multilevel information: The case of quantitative intersectional analysis. Social Science and Medicine, 245, 112499. https://doi.org/10.1016/j.socscimed.2019.112499
  • Evans, C. R., Williams, D. R., Onnela, J. P., & Subramanian, S. V. (2018). A multilevel approach to modeling health inequalities at the intersection of multiple social identities. Social Science & Medicine., 203, 64–73. https://doi.org/10.1016/j.socscimed.2017.11.011
  • FEN. (2013). Libro blanco de la nutrición en España. Fundación Española de la Nutrición.
  • Fernández, N. D. (2016). La crisis económica española: Una gran operación especulativa con graves consecuencias. Estudios Internacionales (santiago)., 48(183), 119–151. https://doi.org/10.5354/0719-3769.2016.39883
  • Fisher, M., Harris, P., Freeman, T., Mackean, T., George, E., Friel, S., & Baum, F. (2021). Implementing universal and targeted policies for health equity: Lessons from Australia. International Journal of Health Policy and Management, 11(10), 2308–2318. https://doi.org/10.34172/ijhpm.2021.157
  • García-Goñi, M., & Hernández-Quevedo, C. (2012). The evolution of obesity in Spain. Eurohealth., 18(1), 22–25.
  • Gil, J., & Mora, T. (2011). The determinants of misreporting weight and height: The role of social norms. Economics and Human Biology, 9(1), 78–91. https://doi.org/10.1016/j.ehb.2010.05.016
  • Gili, M., García Campayo, J., & Roca, M. (2014). Crisis económica y salud mental. Informe SESPAS 2014. Gaceta Sanitaria., 28(S1), 104–108. https://doi.org/10.1016/j.gaceta.2014.02.005
  • Gobierno-de-la-Rioja. (2009). II plan de Salud. Plan de promoción de hábitos de vida saludables. Actividad física y alimentación. Spain: Gobierno de la Rioja
  • Hagenaars, A. J. M., de Vos, K., & Zaidi, M. (1994). Poverty statistics in the late 1980s: Research based on micro-data. Office for Official Publications of the European Communities.
  • Hancock, A.-M. (2016). Intersectionality: An intellectual history. Oxford University Press.
  • Hankivsky, O. (2012). Women’s health, men’s health, and gender and health: Implications of intersectionality. Social Science & Medicine., 74, 1712–1720. https://doi.org/10.1016/j.socscimed.2011.11.029
  • Hernández Yumar, A., Wemrell, M., Abasolo Alesson, I., Gonzales Lopez-Valcárcel, B., Leckie, G., & Merlo, J. (2018). Socioeconomic differences in body mass index in Spain: An intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy. PLoS ONE, 13(12), 0208624. https://doi.org/10.1371/journal.pone.0208624
  • Hernández-Yumar, A., Abásolo Alessón, I., & González, L. V. (2019). Economic crisis and obesity in the Canary Islands: An exploratory study through the relationship between body mass index and educational level. BMC Public Health, 19(1), 1–9. https://doi.org/10.1186/s12889-019-8098-x
  • ICCA. (2019). Plan de frutas y verduras [Web page]. Retrieved March 12, 2019 from http://www3.gobiernodecanarias.org/sanidad/scs/contenidoGenerico.jsp?idDocument=934b5fe8-5af0-11e6-899d-871d09e3921a&idCarpeta=0428f5bb-8968-11dd-b7e9-158e12a49309
  • INE. (2007a). Spanish national health survey 2006–2007. National Statistics Institute and Ministry of Health, Social Services and Equality.
  • INE. (2007b). National health survey 2006–2007. Methodology. National Statistics Institute.
  • INE. (2012a). Spanish national health survey 2011–2012a. National Statistics Institute and Ministry of Health, Social Services and Equality.
  • INE. (2012b). National health survey 2011–2012. Methodology. National Statistics Institute.
  • INE. (2017a). Spanish national health survey 2016–2017. National Statistics Institute and Ministry of Health, Social Services and Equality.
  • INE. (2017b). National health survey 2016–2017. Methodology. National Statistics Institute.
  • INE. (2020). Average net annual income per person and consumption unit by age and sex. Retrieved December, 2020 from http://www.ine.es/jaxiT3/Tabla.htm?t=9942&L=1
  • INE. (2020). Unemployment rates by sex and age group. Annual average for the four quarters. Retrieved December, 2020 from http://www.ine.es/jaxiT3/Tabla.htm?t=4887&L=0
  • Jones, K., Johnston, R., & Manley, D. (2016). Uncovering interactions in multivariate contingency tables: A multi-level modelling exploratory approach. Methodological Innovations., 9, 1–17. https://doi.org/10.1177/2059799116672874
  • Jongnam, H., Eun-Young, L., & Chung, G. L. (2019). Measuring socioeconomic inequalities in obesity among Korean adults, 1998–2015. International Journal of Environmental Research and Public Health., 16(9), 1617. https://doi.org/10.3390/ijerph16091617
  • Kapilashrami, A., Hill, S., & Meer, N. (2015). What can health inequalities researchers learn from an intersectionality perspective? Understanding social dynamics with an inter-categorical approach? Social Theory Health., 13, 288.
  • Karanikolos, M., Mladovsky, P., Cylus, J., Thomson, S., Basu, S., Stuckler, D., Mackenbach, J. P., & Mckee, M. (2013). Financial crisis, austerity, and health in Europe. The Lancet., 381, 1323–1331. https://doi.org/10.1016/S0140-6736(13)60102-6
  • Leckie, G., & Charlton, C. (2013). Runmlwin: A program to run the MLwiN multilevel modeling software from within stata. Journal of Statistical Software., 52(11), 1–40. https://doi.org/10.18637/jss.v052.i11
  • Livingstone, M., & Black, A. (2003). Markers of the validity of reported energy intake. Journal of Nutrition, 133, 895s–920s. https://doi.org/10.1093/jn/133.3.895S
  • Macintyre, S., Ellaway, A., & Cummins, S. (2002). Place effects on health: How can we conceptualise, operationalise and measure them? Social Science and Medicine., 55(1), 125–139. https://doi.org/10.1016/S0277-9536(01)00214-3
  • Macintyre, S., Maciver, S., & Sooman, A. (1993). Area, class and health: Should we be focusing on places or people? Journal of Social Policy., 22, 213–223. https://doi.org/10.1017/S0047279400019310
  • Marmot, M. (2015). The health gap: The challenge of an unequal world. Bloomsbury Publishing.
  • Martín Ruiz, J. F. (2005). Los factores definitorios de los grandes grupos de edad de la población: Tipos, subgrupos y umbrales. Scripta Nova: Revista Electrónica De Geografía y Ciencias Sociales., 9(190), 181–204.
  • Martin-Carrasco, M., Evans-Lacko, S., Dom, G., Christodoulou, N. G., Samochowiec, J., González-Fraile, E., Bienkowski, P., Gómez-Beneyto, M., Dos Santos, M. J. H., & Wasserman, D. (2016). EPA guidance on mental health and economic crises in Europe. European Archives of Psychiatry and Clinical Neuroscience, 266(2), 89–124. https://doi.org/10.1007/s00406-016-0681-x
  • Matheson, F. I., Moineddin, R., & Glazier, R. H. (2008). The weight of place: A multilevel analysis of gender, neighborhood material deprivation, and body mass index among Canadian adults. Social Science and Medicine., 66, 675–690. https://doi.org/10.1016/j.socscimed.2007.10.008
  • Maynou, L., & Saez, M. (2016). Economic crisis and health inequalities: Evidence from the European union. International Journal for Equity in Health., 15(1), 135. https://doi.org/10.1186/s12939-016-0425-6
  • McCall, L. (2005). The complexity of intersectionality. The University of Chicago Press Journals., 30, 1771–1800. https://doi.org/10.1086/426800
  • Merino Ventosa, M., & Urbanos-Garrido, R. (2016). Disentangling effects of socioeconomic status on obesity: A cross-sectional study of the Spanish adult population. Economics and Human Biology., 22, 216–224. https://doi.org/10.1016/j.ehb.2016.05.004
  • Merlo, J. (2018). Multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) within an intersectional framework. Social Science & Medicine., 203, 74–80. https://doi.org/10.1016/j.socscimed.2017.12.026
  • Merlo, J., Mulinari, S., Wemrell, M., Subramanian, S. V., & Hedblad, B. (2017). The tyranny of the averages and the indiscriminate use of risk factors in public health: The case of coronary heart disease. SSM Population Health., 3, 684–698. https://doi.org/10.1016/j.ssmph.2017.08.005
  • Merlo, J., Wagner, P., & Leckie, G. (2019). A simple multilevel approach for analysing geographical inequalities in public health reports: The case of municipality differences in obesity. Health & Place, 58, 102145. https://doi.org/10.1016/j.healthplace.2019.102145
  • Mersky, J. P., Choi, C., Plummer Lee, C., & Janczewski, C. E. (2021). Disparities in adverse childhood experiences by race/ethnicity, gender, and economic status: Intersectional analysis of a nationally representative sample. Child Abuse and Neglect, 117, 105066. https://doi.org/10.1016/j.chiabu.2021.105066
  • Moreno-Agostino, D., Woodhead, C., Ploubidis, G. B., & Das-Munshi, J. (2023). A quantitative approach to the intersectional study of mental health inequalities during the COVID-19 pandemic in UK young adults. Social Psychiatry and Psychiatric Epidemiology. https://doi.org/10.1007/s00127-023-02424-0
  • Norte, A., Sospedra, I., & Ortíz-Moncada, R. (2019). Influence of economic crisis on dietary quality and obesity rates. International Journal of Food Sciences and Nutrition., 70(2), 232–239. https://doi.org/10.1080/09637486.2018.1492523
  • Nyholm, M., Gullberg, B., Merlo, J., Lundqvist-Persson, C., Rastam, L., & Lindblad, U. (2007). The validity of obesity based on self-reported weight and height: Implications for population studies. Obesity (silver Spring), 15(1), 197–208. https://doi.org/10.1038/oby.2007.536
  • OECD. (2014). Income inequality update. Rising inequality: Youth and poor fall further behind. OECD Publishing.
  • OECD. (2017). Obesity update 2017. OECD Publishing.
  • OECD/EU. (2014). Overweight and obesity among adults. In N. Biondi, M. Devaux, M. Cecchini, & F. Sassi (Eds.), Health at a glance: Europe 2014 (pp. 56–57). OECD Publishing.
  • Ortiz-Moncada, R. (2015). Epidemiología de la obesidad en España. Universidad de Alicante.
  • Palència, L., Malmusi, D., & Borrell, C. (2014). Incorporating intersectionality in evaluation of policy impacts on health equity. A quick guide. Barcelona: Agència de Salut Pública de Barcelona.
  • Panagiotakos, D. B., Chrysohoou, C., Pitsavos, C., & Stefanadis, C. (2006). Association between the prevalence of obesity and adherence to the Mediterranean diet: The ATTICA study. Nutrition, 22, 449–456. https://doi.org/10.1016/j.nut.2005.11.004
  • Pont Geis P, Llano Ruiz M, Soler Villa À, Burriel Paloma J, Casajús Mallén J, Fontecha Matínez C. (2009) Plan integral de promoción del deporte y la actividad física. Personas mayores. Versión 1. Madrid: Consejo Superior de Deportes
  • Puhl, R. M., & Heuer, C. (2010). Obesity stigma: Important considerations for public health. American Journal of Public Health., 100, 1019–1028. https://doi.org/10.2105/ajph.2009.159491
  • Radwan, A., & Gil, J. M. (2014). On the nexus between economic and obesity crisis in Spain: Parametric and nonparametric analysis of the role of economic factors on obesity prevalence. In A. Radwan & J. M. Gil (Eds.), 88th annual conference, April (pp. 9–11). Agricultural Economics Society.
  • Raftopoulou, A. (2017). Geographic determinants of individual obesity risk in Spain: A multilevel approach. Economics and Human Biology, 24, 185–193. https://doi.org/10.1016/j.ehb.2016.12.001
  • Regidor, E., Barrio, G., Bravo, M. J., & de la Fuente, L. (2014). Has health in Spain been declining since the economic crisis? Journal of Epidemiology and Community Health., 68, 280. https://doi.org/10.1136/jech-2013-202944
  • Rodriguez-Caro, A., Vallejo-Torres, L., & Lopez-Valcarcel, B. (2016). Unconditional quantile regressions to determine the social gradient of obesity in Spain 1993–2014. International Journal for Equity in Health., 15, 175. https://doi.org/10.1186/s12939-016-0454-1
  • Ruhm, C. J. (2000). Are recessions good for your health? Quarterly Journal of Economics., 115, 617–650. https://doi.org/10.1162/003355300554872
  • Ruhm, C. J. (2005). Healthy living in hard times. Journal of Health Economics., 24, 341–363. https://doi.org/10.1016/j.jhealeco.2004.09.007
  • Ruiz-Ramos, M., Córdoba-Doña, J. A., Bacigalupe, A., Juárez, S., & Escolar-Pujolar, A. (2014). Crisis económica al inicio del siglo xxi y mortalidad en España. Tendencia e impacto sobre las desigualdades sociales. Informe SESPAS 2014. Gaceta Sanitaria., 28, 89–96. https://doi.org/10.1016/j.gaceta.2014.01.005
  • Savane, F. R., Navarrete-Muñoz, E. M., de la Garcia Hera, M., Gimenez-Monzo, D., Gonzalez-Palacios, S., Valera-Gran, D., Sempere-Orts, M., & Vioque, J. (2013). Validez del peso y talla auto-referido en población universitaria y factores asociados a las discrepancias entre valores declarados y medidos. Nutrición Hospitalaria., 28(1633), 1638.
  • Schröder, H., Marrugat, J., Vila, J., Covas, M. I., & Elosua, R. (2004). Adherence to the traditional mediterranean diet is inversely associated with body mass index and obesity in a Spanish population. The Journal of Nutrition., 134, 3355–3361. https://doi.org/10.1093/jn/134.12.3355
  • Seng, J. S., Lopez, W. D., Sperlich, M., Hamama, L., & Reed Meldrum, C. D. (2012). Marginalized identities, discrimination burden, and mental health: Empirical exploration of an interpersonal-level approach to modeling intersectionality. Social Science and Medicine, 75(12), 2437–2445. https://doi.org/10.1016/j.socscimed.2012.09.023
  • SEPAD. (2019) Actividad saludable intergeneracional [Web page]. Retrieved March 12, 2019 from https://saludextremadura.ses.es/sepad/detalle-contenido-estructurado&content=694308
  • Spencer, E. A., Appleby, P. N., Davey, G. K., & Key, T. J. (2002). Validity of self-reported height and weight in 4808 EPIC-Oxford participants. Public Health Nutrition, 5, 561–565. https://doi.org/10.1079/PHN2001322
  • Steele, F. (2008). Module 5. Introduction to multilevel modelling concepts. Centre for Multilevel Modelling, University of Bristol.
  • Suhrcke, M., & Stuckler, D. (2012). Will the recession be bad for our health? It Depends. Social Science & Medicine., 74, 647–653. https://doi.org/10.1016/j.socscimed.2011.12.011
  • Toffolutti, V., & Suhrcke, M. (2014). Assessing the short term health impact of the great recession in the European union: A cross-country panel analysis. Preventive Medicine., 64, 54–62. https://doi.org/10.1016/j.ypmed.2014.03.028
  • Urbanos-Garrido, R. M., & Lopez-Valcarcel, B. G. (2015). The influence of the economic crisis on the association between unemployment and health: An empirical analysis for Spain. The European Journal of Health Economics., 16(2), 175–184. https://doi.org/10.1007/s10198-014-0563-y
  • Wemrell, M., Bennet, L., & Merlo, J. (2019). Understanding the complexity of socioeconomic disparities in type 2 diabetes risk: a study of 4.3 million people in Sweden. BMJ Open Diabetes Research and Care., 7(1), e000749. https://doi.org/10.1136/bmjdrc-2019-000749
  • WHO. (2000). Obesity: Preventing and managing the global epidemic. World Health Organization.
  • Zapata Moya, A., Buffel, V., Navarro Yanez, C., & Bracke, P. (2015). Social inequality in morbidity, framed within the current economic crisis in Spain. International Journal for Equity in Health., 14(128), 131. https://doi.org/10.1186/s12939-015-0217-4
  • Zubizarreta, D., Beccia, A. L., Trinh, M. H., Reynolds, C. A., Reisner, S. L., & Charlton, B. M. (2022). Human papillomavirus vaccination disparities among US college students: An intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA). Social Science and Medicine, 301, 114871. https://doi.org/10.1016/j.socscimed.2022.114871