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How substandard dwellings and housing affordability problems are associated with poor health in a vulnerable population during the economic recession of the late 2000s



Given the increasing number of people in Spain struggling to pay housing-related costs during the economic recession, it is important to assess the health status of these communities as compared to the general population and to better understand the different housing dimensions that are related with poor mental health. This study aims to describe the housing conditions and health status of a sample of people assisted by Caritas Barcelona (Spain) and living in inadequate housing and/or struggling to pay their rent or mortgage, to compare the health outcomes of this population with those of the overall population of Barcelona, and to analyze the association between housing dimensions and mental health.


We used a cross-sectional design. The participating adults (n = 320) and children (n = 177) were those living in the dioceses of Barcelona, Sant Feliu and Terrassa (Spain) in 2012 and assisted by Cáritas. They were asked to answer to three questionnaires on housing and health conditions. Eight health related variables were used to compare participants with Barcelona’s residents and associations between housing conditions and poor mental health were examined with multivariate logistic regression models.


In Barcelona, people seeking Caritas’s help and facing serious housing problems had a much poorer health status than the general population, even when compared to those belonging to the most deprived social classes. For example, 69.4 % of adult participants had poor mental health compared to 11.5 % male and 15.2 % female Barcelona residents. Moreover, housing conditions were associated with poor mental health.


This study has shown how, in a country hit by the financial recession, those people facing housing problems have much worse health compared to the general population.


Housing conditions impact health through a variety of interrelated mechanisms including the emotional link with the dwelling, housing affordability, physical dwelling conditions, and the physical and social (community) environment of the neighbourhood where the dwelling is located [1, 2]. Failings in any of these dimensions of housing can negatively impact the health of a home’s occupants.

Previous studies, mainly undertaken in the USA, have found associations between housing instability (which implies having multiple ongoing difficulties, both personal and economic, associated with maintaining the residence) and wellbeing/mental health [310]. Qualitative studies have mainly focused on exploring how the process of housing affordability and the process of eviction leads to poor health and wellbeing [1113]. Examples of these mechanisms include uncertainty, fear and lack of control; the impact on social status and sense of self; stigma, shame and embarrassment, failure and a loss of emotional capital [11]. Other studies have described how individuals with housing instability were more likely to have self-declared hypertension and heart disease [6, 14]. Moreover, unhealthy behaviours may be adopted to cope with the stress of problems with housing affordability, such as tobacco use, alcohol consumption, or unhealthy eating, which are related to subsequent physical health outcomes, such as cardiovascular disease [6, 11, 15].

Spain is one of the European countries where the consequences of the global economic crisis of the late 2000s are being more evident [16] and where the distinctive features of its housing system have exacerbated the consequences of the crisis. Historically, housing in Spain has been used as a speculative good instead of a first necessity good, making access to adequate housing difficult for low-income families. While Spain is the OECD country with the largest housing stock per inhabitant, it is highly underutilized (14 % unoccupied and 16 % used as second home) despite its increasing homeless population. In addition, social housing only represents between 1 % and 2 % of housing stock (one of the lowest in the European Union-EU-), and budget for rental assistance programmes is also among the lowest in the EU) [1, 17, 18]. The impact of the economic crisis on access to adequate housing in Spain has been mainly due to the reduction of household income, leading to difficulties in paying housing-related costs and, potentially, to the loss of the dwelling. Foreclosure procedures increased from 58,000 in 2008 to 101,034 in 2012 and the number of homeless population in Barcelona increased by 43 % between 2008 and 2013 [19].

Given the scarcity of literature in Spain analyzing the association between housing and health and given the increasing number of people in Spain struggling to pay housing-related costs and/or living in substandard housing, it is important to assess the health status of these communities as compared to the general population and to better understand the different housing dimensions that are related to poor mental health.

Caritas is one of the institutions focused on helping people with housing problems. It is an institution linked to the Catholic Church whose main focus is on direct care for socially vulnerable people. One of its services is to arbitrate between families and owners or financial institutions that issued the loan in order to find solutions and avoid foreclosure. It also provides financial assistance to families, and in some cases, relocation into homes owned by Caritas.

This study aims to describe the housing conditions and health status of a sample of people assisted by Caritas Barcelona (Spain) and living in inadequate housing and/or with difficulties in paying their rent or mortgage, to compare the health outcomes of this population with those of the overall population of Barcelona, and to analyze the association between housing dimensions and mental health.


Design, data sources and study population

This study uses a cross-sectional design. The participating families were those living in the dioceses of Barcelona, Sant Feliu and Terrassa (Catalonia, Spain) in 2012 and assisted by Caritas. They were identified from the Caritas users’ registry. Participants were asked to answer to three questionnaires, delivered by a trained interviewer who conducted the face-to-face interview at the Caritas’s centre in Barcelona with a randomly selected adult member of each family. The questionnaires consisted of: (1) a housing questionnaire, which collected information on household composition, housing type and habitability, housing affordability, and satisfaction with housing and neighbourhood conditions; (2) a resident questionnaire, which gathered information on several health indicators as well as socio-demographic characteristics; and (3) a child questionnaire, which included health and socio-demographic information for a randomly selected child aged 4 to 14 years old residing in the household, reported by the selected adult member.

In addition, comparison with the general population was performed using the Barcelona Health Survey of 2011, based on face-to-face interviews in the homes of a representative sample of the non-institutionalised Barcelona residents.

The study population consisted of 320 adults: 175 assisted by Caritas’s Direct Assistance Service (DAS), living in substandard and/or overcrowded housing and considered to be a priority for rehousing, and 145 assisted by Caritas’s Housing Mediation Service (HMS), at risk for being evicted from their owned or rented housing due to economic problems. Information was also obtained for 177 children, 93 (54.8 %) belonging to families assisted by Caritas’s DAS. The overall response rate was 45 %.

The study was approved by the Ethics Committee of the Parc de Salut Mar (Barcelona).

Study variables

The outcome variables included several health indicators. In adults: fair or poor self-reported health; below the study population median quality of life score measured using the EuroQol questionnaire ED-5 [20]; poor mental health (score of more than 2 in the Goldberg's General Health Questionnaire 12 items, assessing symptoms of anxiety and depression) [21]; self-reported depression or anxiety the previous year; use of tranquilizers, antidepressants, or sleeping pills the previous 2 days; self-reported migraine or frequent headaches during the previous year; self-reported backache during the previous year; and averaging less than 6 hours of sleep per night during working days. In children: poor or fair general health status; poor mental health measured using the Strengths and Difficulties questionnaire (SDQ; "abnormal" (>16) score of the total difficulties scale) [22]; recurrent otitis during the previous year; and not having breakfast every day before leaving home.

Several socio-demographic and housing characteristics were included as explanatory variables (see variables in Table 1). Social class was obtained through current or past occupation of the adult interviewed using the Spanish classification of the Spanish Society of Epidemiology [23]. Social support was measured by means of the Duke Scale considering scores below 32 as inadequate support.

Table 1 Socio-demographic characteristics of the population assisted by Caritas Barcelona

The housing variables included different aspects of the following 4 dimensions: affordability, emotional link with the dwelling, dwelling conditions and neighbourhood and community conditions (see variables in Table 2) [1]. To measure the participant’s emotional link to the dwelling, a composite score (Cronbach’s Alpha of 0.82) was created by averaging the 5-point Likert-scale responses to questions regarding the resident’s overall satisfaction with the dwelling, satisfaction with the dwelling’s space, satisfaction with the dwelling’s views, the belief that others would be happy with this dwelling, the sense of security felt in the dwelling, and whether the dwelling expresses his/her personality and values. The number of habitability problems included not having any type of ventilation in one or more of the bedrooms or the dinning room, having often or always dampness and mould, cold or heat being always identified as a problem during winter or summer, respectively, having had a serious infestation (rats, mice, cockroaches, fleas, bedbugs) during the previous year, and insufficient amount of daylight (having to switch on the lights during the day) (Cronbach’s Alpha of 0.48). The number of housing-related material deprivations included central heating, air conditioned, dishwasher, computer, and Internet connection (Cronbach’s Alpha of 0.63) [25] Overcrowding was defined as more than one person per room, excluding toilets and including members of other families.

Table 2 Housing characteristics of the population assisted by Caritas Barcelona

Statistical Analysis

Descriptive and bivariate analyses were carried out for the outcome, explanatory, and adjusting variables. Outcome variables were compared with the overall population of Barcelona, as well as those from the most deprived social classes of the city (classes IV and V, which correspond to manual workers). Prevalence among Barcelona residents was age-standardised (direct method) using the age-distribution of the Caritas sample. These analyses were stratified by type of Caritas’s service (DAS or HMS) and sex.

Also, multivariate logistic regression models were fitted to determine the association of poor mental health with the explanatory variables using the adult sample. Four dimension-specific models were fit, one for each housing dimension, where all of the explanatory variables of each dimension were entered into the model (models 1–4), and a final full model was fit including only the significant variables (model 5). Potential confounding by socio-demographic characteristics was adjusted for in all 5 models. These models were adjusted for men and women, and for DAS and HMS populations.

All analyses were conducted using Stata, version 11.2 (StataCorp LP, College Station, Texas).


Description of socio-demographic and housing characteristics

Of the 320 total participants, 64.4 % were women. Table 1 displays socio-demographic characteristics of the sample stratified by Caritas’s service and sex. The vast majority (89 %) of the study population fell into the two most deprived social class levels (these social classes represent 35 % among Barcelona residents). Nearly one out of three (29 %) respondents had primary education or less (7 % in Barcelona). Foreign-born individuals made up a large proportion of both the DAS (93.7 %) and the HMS (57.9 %), the majority of which came from Central and South America. However, the legal situation of the immigrants differed between the two groups: 43.7 % of the DAS participants were undocumented immigrants compared to 2.1 % of the HMS sample. In regards to employment status, unemployment levels were high universally (53.1 %), with higher levels among men and the HMS, and half of those employed were working without an employment contract. Additionally, 70 % of households included one or more children, with women and those from DAS more likely to be single parents.

Table 2 shows housing characteristics. Regarding housing affordability, 87.6 % of participants spent more than 30 % of their monthly income on housing expenses, 86.8 % reported having trouble meeting their monthly living expenses, and 78.7 % had been worried during the previous year about not being able to afford food. With respect to housing instability, 53.1 % of HMS and 36.6 % of DAS participants had spent less than two years in their current home, and one out of five (21.3 %) had at one point lived in a shelter, shack, car, or on the street. With regard to satisfaction with the dwelling, one out of three (29.4 %) participants reported being unsatisfied or very unsatisfied with his/her dwelling. Concerning housing tenure, most HMS participants were homeowners (39.3 %) or renters (42.8 %), while the most frequent housing type among DAS participants were rented housing (45.1 %) or a rented room (37.7 %). The number of habitability problems as well as the number of housing-related material deprivations was higher among DAS participants. One out of five (22.1 %) of HMS participants and more than half (56.7 %) of DAS participants lived in an overcrowded dwelling. Finally, regarding neighbourhood conditions, one out of five (19.4 %) participants evaluated their neighbourhood negatively.

Description of health outcomes and comparison with Barcelona residents

Table 3 shows the prevalence of health outcomes among the study population and Barcelona residents. Overall, health status of the Caritas population was much worse than that of Barcelona residents, even than that of most deprived social classes, both among adults and among children. Most health indicators were worse among women and among HMS participants in adults and among DAS participants among children. For example: 69.4 % of adult participants had poor mental health (11.5 and 15.2 % among men and women Barcelona residents). In children, prevalence of poor mental health among boys was of 61.3 % for those from DAS and of 45.2 % for those from HMS (3.1 % in Barcelona), and of 37.5 and 25.0 %, respectively, among girls (5.1 % in Barcelona).

Table 3 Prevalence (%) of health outcomes among the population assisted by Caritas Barcelona and comparison with Barcelona residents

Association between housing and mental health

The multivariate association between housing and poor mental health is shown in Table 4. In men, in the final model (model 5) having been worried about not being able to buy food (OR = 14.2), having lived in a shelter, shack, car, or on the street (OR = 11.2), not being satisfied with the dwelling (OR = 6.6 and OR = 34.2 for the middle and lowest emotional link categories compared to the highest, respectively) were significantly associated with poor mental health, whereas living in an overcrowded home was inversely associated with poor mental health (OR = 0.2). In women, both in the dimension-specific and the full models, having been worried about not being able to buy food (OR = 3.2), having lived in a shelter, shack, car, or on the street (OR = 5.9), and living in a neighbourhood where noise impedes sleep (OR = 2.2) were associated with poor mental health.

Table 4 Association (OR [95 % CI]) between housing-related exposures and poor mental health among the population assisted by Caritas Barcelona Multivariate dimension-specific models (1–4) and full model (5)

Among DAS participants, in the full-model (model 5), having lived in a shelter, shack, car, or on the street (OR = 4.0), and living in a neighbourhood where noise impedes sleep (OR = 3.7) were associated with poor mental health, whereas not having problems meeting monthly housing costs was inversely associated (OR = 0.1). Finally, among those from the HMS, in the final model, only having been worried about having enough money for food (OR = 6.0) and having lived in a shelter, shack, car, or on the street (OR = 5.4) were significantly associated with poor mental health.


While general population surveys have largely failed so far to identify the negative health consequences of the current economic crisis, this study highlights that in Barcelona, people seeking help from Caritas and facing serious housing problems have a much worse health status than the general population, even when compared to those belonging to the most deprived social classes. This is especially so for users of the HMS, who specifically seek help for dealing with unbearable housing payments. Moreover, even within a small sample of subjects, all of whom are facing some kind of housing problem, housing conditions are related to poor mental health, even after controlling for other adverse life conditions such as unemployment or being undocumented. These findings are consistent with the growing body of literature showing the association between poor housing conditions, mainly housing affordability, and poor physical and mental health [4, 5, 15, 26, 27].

It is worth mentioning that the population assisted by Caritas has a high vulnerability profile, shown by their socio-demographic and housing characteristics as well as by their health outcomes. Difficulties in affording housing costs among this population is most likely due to the fact that the majority of interviewees are unemployed, mainly among men who tend to be the breadwinners. In addition, more than one third of women are single mothers, who have to face with both the responsibility of house and children care as well as with being in a precarious situation, as other studies have shown [28, 29]. Nonetheless, it is also worth highlighting that the sample was not only made up of the more excluded populations, but also included other groups that do not tend to use Caritas’s services, such as those from less-deprived socials classes.

Within the two Caritas groups, women had worse self-reported health, slept less, were more depressed or anxious, used medications more frequently, and had worse quality of life, which has been described elsewhere [28, 30, 31]. Additionally, users of the HMS had considerably worse health than those from the social services living in substandard housing. HMS users are mostly families approaching Caritas for the first time searching for help to deal with a mortgage or rental payment problem. Such struggles have been shown to increase psychosocial stress and anxiety, and homeowners frequently view these difficulties as a personal failure [4, 8, 32].

Our study found, across all groups, that those with affordability problems reported worse mental health, mainly among those who worried about not having sufficient money for food or those who had at some point slept in a shed, shelter, car, or on the street. The poor mental health outcomes suffered by this population, especially by the HMS group, are consistent with a number of studies that demonstrate the poor health outcomes of people who experience homelessness [33] or foreclosure [9, 34]. Additionally, across almost all groups, housing satisfaction was associated with mental health such that those with lower satisfaction reported worse mental health. However, we did not detect strong associations between poor mental health and dwelling or neighbourhood conditions. This might be attributable to the lack of variability in housing and neighbourhood characteristics among the study population, since the majority of study participants experience serious substandard living circumstances, therefore making it difficult to tease out associations with health outcomes in this relatively small population.

In men we found that overcrowding was associated with better mental health. This was surprising given that some studies indicate that overcrowding can result in worse physical and mental health outcomes due to higher rates of infectious transmission and other poor living conditions suffered by those living in overcrowded homes and the stress associated with being unable to pay one’s bills which could force one to move in with others [35, 36]. However, the fact that these men live in an overcrowded home could indicate that they have a social safety network to fall back on in difficult times. Such social support could lead to improved mental health. Future studies should confirm this hypothesis. This association was not observed among women, which could be explained by the social construction of gender [24]. The role of breadwinner, assigned to men, represents a source of pressure in times of economic difficulties. Similarly, the association with the emotional link with the dwelling was observed only among men, since the male figure is responsible for providing his family with an adequate housing.

The study had a few limitations. Our sample size was relatively small due to the difficulties in reaching these populations representing multiple types of housing instability, both those who live in substandard housing and those who struggle to pay housing costs. However, our sample was large enough to analyse the life conditions and health status of a very difficult to reach population, often underrepresented in general health surveys. Perseveration and close follow up of individuals was needed, for which the implication of Caritas in the study was essential. The economic and legal instability of these families, their proneness to mobility, and their precarious situation were important barriers to participation in the study. Incentives were not used in this study. Differences between participants and non-respondents could not be analysed, although most likely non-respondents were those in more precarious situation and, therefore, most likely to have worse health status. Additionally, the cross-sectional nature of the baseline survey prohibits us from drawing causal inferences from the findings, although cohort studies done in other countries have found similar associations [32, 34]. Also, all participants were drawn from the Caritas registry and as such may not accurately represent all of those living in substandard housing in Barcelona, only those who are seeking assistance. Finally, participants were younger than overall Barcelona residents and mostly foreign-born. Since age is related to prevalence of most health problems, age-standardized prevalence was used instead. Among the strengths, participants responded to three thorough questionnaires, with most of the items consisting in validated instruments. Additionally, this study is the first to compare the health outcomes of a vulnerable population with housing instability with those from the overall population of Barcelona, and therefore contributes to the scarce literature analysing the impact of housing on health in Spain, a country characterised by having a housing system with limited access to adequate housing.


This study has shown that, in a country hit by the financial recession, those people facing housing problems have much worse health compared to the general population. Housing affordability should be a priority for policymakers, and urgent action is needed to increase the supply of public social housing and to guarantee people’s right to adequate housing, including measures to stop foreclosures or to implement deeds of assignment for mortgage payments.


  1. Novoa AM, Bosch J, Díaz F, Malmusi D, Darnell M, Trilla C. Impact of the crisis on the relationship between housing and health. Policies for good practice to reduce inequalities in health related to housing conditions. Gac Sanit. 2014;28 Suppl 1:44–50.

    Article  PubMed  Google Scholar 

  2. WHO European Centre for Environment and Health. Environmental Health Inequalities in Europe. Copenhagen: Assessment Report; 2012.

    Google Scholar 

  3. Cannuscio CC, Alley DE, Pagán JA, Soldo B, Krasny S, Shardell M, et al. Housing strain, mortgage foreclosure, and health. Nurs Outlook. 2012;60:134–42. 142.e1.

    Article  PubMed  Google Scholar 

  4. Burgard SA, Seefeldt KS, Zelner S. Housing instability and health: findings from the Michigan Recession and Recovery Study. Soc Sci Med. 2012;75:2215–24.

    Article  PubMed  Google Scholar 

  5. Rollins C, Glass NE, Perrin NA, Billhardt KA, Clough A, Barnes J, et al. Housing instability is as strong a predictor of poor health outcomes as level of danger in an abusive relationship: findings from the SHARE Study. J Interpers Violence. 2012;27:623–43.

    Article  PubMed  Google Scholar 

  6. Pollack CE, Lynch J. Health status of people undergoing foreclosure in the Philadelphia region. Am J Public Health. 2009;99:1833–9.

    Article  PubMed Central  PubMed  Google Scholar 

  7. Pollack CE, Lynch J, Alley DE, Cannuscio CC. Foreclosure and Health Status. LDI Issue Brief. 2010;15:1–4.

    PubMed  Google Scholar 

  8. Nettleton S, Burrows R. Mortgage Debt, Insecure Home Ownership and Health: An Exploratory Analysis. Sociol Health Illn. 1998;20:731–53.

    Article  Google Scholar 

  9. Pevalin DJ. Housing repossessions, evictions and common mental illness in the UK: results from a household panel study. J Epidemiol Community Health. 2009;63:949–51.

    Article  CAS  PubMed  Google Scholar 

  10. Taylor MP, Pevalin DJ, Todd J. The psychological costs of unsustainable housing commitments. Psychol Med. 2007;37:1027–36.

    Article  PubMed  Google Scholar 

  11. Nettleton S, Burrows R. When a Capital Investment Becomes an Emotional Loss: The Health Consequences of the Experience of Mortgage Possession in England. Hous Stud. 2000;15:463–78.

    Article  Google Scholar 

  12. Ross LM, Squires GD. The Personal Costs of Subprime Lending and the Foreclosure Crisis: A Matter of Trust, Insecurity, and Institutional Deception*. Soc Sci Q. 2011;92:140–63.

    Article  Google Scholar 

  13. Martin AJ. After Foreclosure: The Displacement Crisis and the Social and Spatial Reproduction of Inequality. ISSC Working Paper Series, Berkeley; 2010. [2009–2010.48]

  14. Arcaya M, Glymour MM, Chakrabarti P, Christakis N a, Kawachi I, Subramanian SV. Effects of proximate foreclosed properties on individuals’ systolic blood pressure in Massachusetts, 1987 to 2008. Circulation. 2014;129:2262–8.

    Article  PubMed Central  PubMed  Google Scholar 

  15. Bennett GG, Scharoun-Lee M, Tucker-Seeley R. Will the public’s health fall victim to the home foreclosure epidemic? PLoS Med. 2009;6, e1000087.

    Article  PubMed Central  PubMed  Google Scholar 

  16. Karanikolos M, Mladovsky P, Cylus J, Thomson S, Basu S, Stuckler D, et al. Financial crisis, austerity, and health in Europe. Lancet. 2013;381:1323–31.

    Article  PubMed  Google Scholar 

  17. Pittini A, Laino E. Housing Europe Review 2012: The Nuts and Bolts of European Social Housing Systems. Belgium; 2012.

  18. Rodríguez AR. Housing Policy in Spain within the European Context. Debts And Challenges. INVI. 2010;25(August):125–59.

    Google Scholar 

  19. Sales A. Diagnosi 2013. Les persones sense llar a la ciutat de Barcelona i l’evolució dels recursos de la Xarxa d’Atenció a les Persones Sense Llar. Xarxa d’Atenció a Pers sense Llar 2013. Available online at:

  20. EuroQol G. EuroQol--a new facility for the measurement of health-related quality of life. Health Policy. 1990;16:199–206.

    Article  Google Scholar 

  21. Shapiro S, Skinner EA, Kramer M, Steinwachs DM, Regier DA. Measuring need for mental health services in a general population. Med Care. 1985;23:1033–43.

    Article  CAS  PubMed  Google Scholar 

  22. Goodman R. Using the Strengths and Difficulties Questionnaire (SDQ) to screen for child psychiatric disorders in a community sample. Br J Psychiatry. 2000;177:534–9.

    Article  CAS  PubMed  Google Scholar 

  23. Domingo-Salvany A, Bacigalupe A, Miguel J, Sociedad D. Propuestas de clase social neoweberiana y neomarxista a partir de la Clasificación Nacional de Ocupaciones 2011. Gac Sanit. 2013;27:263–72.

    Article  PubMed  Google Scholar 

  24. Flaquer L. La articulación entre la familia y el Estado de bienestar en los países de la Europa del Sur [The link between the family and the Social Welfare State in Southern Europe countries]. Pap Rev Sociol. 2004;73:27–58.

    Google Scholar 

  25. Borrell C, Muntaner C, Benach J, Artazcoz L. Social class and self-reported health status among men and women: what is the role of work organisation, household material standards and household labour? Soc Sci Med. 2004;58:1869–87.

    Article  PubMed  Google Scholar 

  26. Houle JN. Mental health in the foreclosure crisis. Soc Sci Med. 2014;118:1–8.

    Article  PubMed  Google Scholar 

  27. Houle JN, Light MT. The home foreclosure crisis and rising suicide rates, 2005 to 2010. Am J Public Health. 2014;104:1073–9.

    Article  PubMed  Google Scholar 

  28. Burstrom B, Whitehead M, Clayton S, Fritzell S, Vannoni F, Costa G. Health inequalities between lone and couple mothers and policy under different welfare regimes - the example of Italy, Sweden and Britain. Soc Sci Med. 2010;70:912–20.

    Article  PubMed  Google Scholar 

  29. Van de Velde S, Bambra C, Van der Bracht K, Eikemo TA, Bracke P. Keeping it in the family: the self-rated health of lone mothers in different European welfare regimes. Sociol Health Illn. 2014;36:1220–42.

    Article  PubMed  Google Scholar 

  30. Artazcoz L, Borrell C, Benach J. Gender inequalities in health among workers: the relation with family demands. J Epidemiol. 2001;55:639–47.

    CAS  Google Scholar 

  31. Malmusi D, Artazcoz L, Benach J, Borrell C. Perception or real illness? How chronic conditions contribute to gender inequalities in self-rated health. Eur J Public Health. 2012;22:781–6.

    Article  PubMed  Google Scholar 

  32. McLaughlin KA, Nandi A, Keyes KM, Uddin M, Aiello AE, Galea S, et al. Home foreclosure and risk of psychiatric morbidity during the recent financial crisis. Psychol Med. 2012;42:1441–8.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  33. Fazel S, Khosla V, Doll H, Geddes J. The prevalence of mental disorders among the homeless in western countries: systematic review and meta-regression analysis. PLoS Med. 2008;5, e225.

    Article  PubMed Central  PubMed  Google Scholar 

  34. Osypuk TL, Caldwell CH, Platt RW, Misra DP. The consequences of foreclosure for depressive symptomatology. Ann Epidemiol. 2012;22:379–87.

    Article  PubMed Central  PubMed  Google Scholar 

  35. Gray A. Definitions of Crowding and the Effects of Crowding on Health : A Literature Review Prepared for the Ministry of Social Policy. New Zealand: Gray Matter Research Ltd; 2001. p. 1–40.

    Google Scholar 

  36. ODPM. The Impact of Overcrowding on Health & Education: a review of evidence and literature. London: Office of the Deputy Prime Minister; 2004.

    Google Scholar 

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This research was partially supported by the European Community’s Seventh Framework Programme (FP7/2007-2013, grant agreement number 278173): “Evaluating the impact of structural policies on health inequalities and their social determinants and fostering change (Sophie)” project; and by Contratos para la intensificación de la actividad investigadora en el SNS para 2014, Acción Estratégica en Salud 2013–2016 (INT13/00252 granted to Carme Borrell).

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Correspondence to Carme Borrell.

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The authors declare that they do have no competing interests.

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All authors participated in the design of the study. Fernando Diaz supervised the field work. Julia Ward and Ana Novoa performed the statistical analysis. Ana Novoa, Julia Ward and Carme Borrell wrote different drafts of the manuscript which were discussed by all authors. All authors approved the final version of the manuscript.

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Novoa, A.M., Ward, J., Malmusi, D. et al. How substandard dwellings and housing affordability problems are associated with poor health in a vulnerable population during the economic recession of the late 2000s. Int J Equity Health 14, 120 (2015).

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