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Article

Differences in Drug Use among Persons Experiencing Homelessness According to Gender and Nationality

by
Alícia Parés-Bayerri
1,
Fran Calvo
2,*,
Sílvia Font-Mayolas
3,
Sonia Panadero
4 and
José Juan Vázquez
5
1
Social Psychology Department, Universitat de Girona, 17003 Girona, Spain
2
Serra Húnter Fellow, Pedagogy Department, Quality of Life Research Institute, Universitat de Girona, Plaça de Sant Domènec, 17003 Girona, Spain
3
Psychology Department, Quality of Life Research Institute, Universitat de Girona, 17003 Girona, Spain
4
Clinical Psychology Department, Universidad Complutense de Madrid, 28040 Madrid, Spain
5
Social Psychology Department, Universidad de Alcalá, 28871 Madrid, Spain
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2023, 20(5), 4007; https://doi.org/10.3390/ijerph20054007
Submission received: 28 December 2022 / Revised: 17 February 2023 / Accepted: 22 February 2023 / Published: 23 February 2023
(This article belongs to the Special Issue Feature Paper: Advance in Global Health)
Review Reports Versions Notes

Abstract

:
The main aims of this article are to update the data related to drug and alcohol use in persons experiencing homelessness (PEH) who use shelters, and to see if there are significant differences in their drug use depending on their gender and nationality. The article presents an analysis of the interconnections between the results of drug dependence detection tools (Alcohol Use Disorders Identification Test (AUDIT), Drug Abuse Screening Test (DAST-10), Severity of Dependence Scale (SDS)) according to gender and nationality with the intention of identifying specific needs that lead to new lines of research into better approaches to homelessness. A cross-sectional, observational and analytical method was used to analyse the experiences of persons experiencing homelessness who use various shelters in the cities of Madrid, Girona, and Guadalajara (Spain). The results show that there are no gender differences in the risks of using drugs and drug addiction, but there are differences in terms of nationality for drug addiction, with Spanish nationals showing a greater tendency to develop drug addiction. These findings have significant implications, as they highlight socio-cultural and socio-educational influence as risk factors in drug addiction behaviours.

1. Introduction

Homelessness is increasingly prevalent in cities in the developed world. The United Nations Commission on Human Rights estimates that there are 100 million persons experiencing homelessness (PEH) in the world and 3 million in Europe. In Spain, between 2014 and 2016, the number of people using shelters increased by 20.5% on average, reaching 16,437 PEH in Spain in 2016 [1]. The Instituto Nacional de Estadística de España (INE) (the Spanish National Institute of Statistics) registered 17,772 PEH in day centres and shelters during 2020 [2] and considers that a total of 28,552 PEH live in Spain [3].
The European Federation of National Organisations Working with the Homeless bases their concept of residential exclusion on the European Typology of Homelessness and Housing Exclusion (ETHOS) categories. It defines PEH as those who cannot access or maintain adequate and permanent personal accommodation that provides them with a stable living environment, either due to a lack of economic resources or because they have personal or social difficulties in leading an autonomous life [4].
Homelessness is not static; it is the result of a process of changes in life that lead a person to being in a situation of exclusion. Causal factors of homelessness are structural, such as unemployment and economic crises [5,6], and individual, such as nationality, gender, or use of drugs [7]. Both occur within the individual’s circle, resulting in inequalities in rights, freedoms, opportunities, and personal capabilities [8]. Loneliness is one of these inequalities [9]; suffering violence of all kinds is another [10,11]. The process of social exclusion leads to PEH being alienated from social participation [12].
The risk factors affecting PEH are varied. Although mental health and addiction stand out, interventions cannot be implemented and homelessness cannot be addressed uniformly, but must be based on the different realities of each PEH [13].
Drug use by PEH has been studied and reported in the scientific literature. The conclusions are that PEH are more vulnerable than the rest of the population and have a higher propensity to developing drug addiction. Alcohol is the most commonly consumed substance [14,15]. PEH are much more likely to be dependent on alcohol and other drugs than their peers of the same age group in the general population [16].
Similar research shows that between 30% and 70% of PEH abuse alcohol or drugs, triggering disorders associated with drug use that affect almost 50% of PEH in Spain, such as health problems, psychiatric symptoms, and poly-drug use [17].
In their research analysing substance use according to the amount of time spent homeless, [18] found that alcohol use was much more common among those who had been homeless for over 5 years than in the group that had been homeless for less time. Longer-term PEH suffer from severe physical and mental health problems, and alcohol and other drug use: 25% to 45% of PEH have a disorder caused by alcohol abuse [19] and 53% of PEH will have some form of addiction during their lifetime [20]. Fajardo’s 2011 study on addictions in PEH stated that the most common addictions were alcohol (43.48%), heroin (13.04%), pathological gambling (13.04%), a mix of heroin and cocaine (8.70%), and cocaine (4.35%). The most commonly diagnosed disorders among PEH were those related to the use of alcohol, 36.7% (95% CI 27.7% to 46.2%), those related to the use of drugs, 21.7% (95% CI 13.1% to 31.7%), followed by schizophrenia spectrum disorders 12.4% (95% CI 9.5% to 15.7%), and clinical depression 12.6% (95% CI 8.0% to 18.2%) [21].
PEH are subjected to discriminatory treatment resulting from unconscious biases, prejudices, and stigmas that are anchored to a social imaginary [22], and when we refer to homeless women, a double stigmatisation is observed: on the one hand, inequality and social discrimination due to the fact of being a woman, and on the other, the negative opinion entailed in being a homeless person, since this scenario opposes the classic female role [23,24]. This double stigmatisation also occurs in immigrants, the stigma entailed in being homeless being shared with separation from the rest of society due to the fact of being foreign, thus making it even more difficult to establish bridges between the two “worlds” [25].
The aim of this research is to determine the real situation with regard to drug dependence among homeless women and immigrants, these two groups being prone to greater stigmatisation than those of men and nationals, respectively.

1.1. Substance Use and Homeless Women

The application of research models in the social field whose dimensions do not incorporate the gender perspective has resulted in women traditionally being invisible in studies on homelessness [26]. This article has taken the above issue into consideration, and therefore offers results on drug dependence in homeless people differentiating by gender.
Women experiencing homelessness are more vulnerable than men in terms of health issues, as they suffer from more sexually transmitted, circulatory, muscular, skeletal, and dermatological diseases than men [27,28]. In addition, many of these women have experienced severe and violent assault [29], which exacerbates homelessness and increases the likelihood of suffering a more severe mental health disorder [30].
Most of the women who use drugs were drug users before they lost their homes; in some cases, drug use was the cause of them losing their home. Their drug use intensifies considerably when they become homeless, leading to other health problems. There is also a group of women who start using drugs when they become homeless [31]. Diseases associated with drug use, such as hepatitis C and AIDS, are more prevalent in homeless women than in men [29].
Other studies have shown that drug and alcohol use among homeless women is lower than among men. As in the rest of the population, this is due to patriarchal factors that normalise consumption in men and hide it in women. Women, however, are addicted for longer, causing greater deterioration [32].
As well as being a woman, another factor that has a direct impact on homelessness in Spain is not having Spanish nationality [33].
There is a gap in the literature when it comes to studies that compare drug use by gender in homeless people. Although one U.S. study comparing behavioural factors of alcohol consumption between homeless men and women concluded that no differences could be detected in various manifestations of problematic alcohol use [34], the negative meta-stereotypes associated with homeless people (for example, alcohol users, drug users, slackers, delinquents, etc.) are more attributed to women than men [35], and even though homelessness affects both men and women, it is the latter who are most affected, since homeless women suffer the double discrimination of gender and social class, which sometimes intersect with other exclusion factors [36].

1.2. Substance Use and Homeless Immigration

In recent years, there has been an exponential increase in the number of immigrants living in Spain. The INE (2022) states that of the 28,552 PEH residing in Spain, 28.8% of them became homeless due to the need to start from scratch after arriving from another country.
The majority of immigrant PEH are from Africa (53.3%), followed by America (25.9%), and Europe (16.7%). In total, 43% of these immigrant PEH have been in Spain for over five years.
Immigrant homeless women are a more vulnerable subpopulation within this context. Many of them do not have information about their rights to access medical services in the country where they live. This situation is compounded by bureaucratic procedures, as well as many other obstacles, such as discrimination based on race, language, and cultural barriers [37,38].
In terms of health, they have great problems in accessing health care services [39,40]. In addition to the lack of documentation, they report psychological barriers, such as embarrassment about appearance and hygiene, and environmental barriers, such as a lack of knowledge regarding how the health care services work. Waiting times to be seen by a physician are long, which means they often give up seeking medical care [41]. In many cases, they also do not go to health care services for fear of being discovered and reported [42,43].
Studies on immigrant populations show that they suffer more distress than local-born people [44,45]. One of the reasons is the process of gaining residence in Western countries [46].
Paradoxically, there is a phenomenon in immigrant PEH called the healthy immigrant effect (HIE) that is related to the positive relationship between migration and health; immigrant PEH have better health than the local population of the same age [47,48,49]. Specifically, immigrant PEH have better overall health status, better mental health status, and less problematic substance use [50,51,52].
In Spain, a study was carried out in Bilbao on 107 non-Spanish PEH: 97.25% were men, 65% were from North Africa, 21.7% from Sub-Saharan Africa, 8.3% from Latin America, 3.3% from Eastern Europe, and 1.7% from Asia. A large proportion (76.7%) had no documentation. In total, 40% consumed alcohol on a regular basis [33].
This study aims to analyse whether there are differences in drug use between male and female PEH and between those born locally and immigrants.
Given that men and women differ in their biotype, physiology, and relationships with their environment, it was expected that different levels of drugs consumption would result in differences in abuse and dependence between the two genders. In addition, we also wanted to verify whether the concept of healthy immigration also occurs in the homeless immigrant population, despite all the difficulties of living on the street being combined with having undergone a very stressful migratory process.
The aims of this research are:
(1)
To show whether there are any differences in the level of drug dependence between homeless men and women (according to addiction screening tools).
(2)
To show whether there are differences in the level of drug dependence between homeless immigrants and nationals (according to addiction screening tools).
(3)
To explain the main consequences of such differences and the inequalities they generate for both comparisons.
(4)
To provide a social explanation for these differences.
The main questions that arose from the challenge of this research were as follows:
(1)
Are there differences in the consumption and degree of addiction to drugs in homeless men or women?
(2)
Are there differences in the consumption and degree of drug addiction in homeless immigrants and nationals?
(3)
What conclusions can be drawn to improve the planning and execution of care and prevention actions for drug addiction in homeless people?
Determining the level of drug dependency presented by homeless women and homeless immigrants in comparison with nationals will provide information on the health of the former two groups, allowing actions to be designated that meet their specific needs.

2. Materials and Methods

2.1. Design

Cross-sectional, observational and analytical study.

2.2. Participants

The study was based on a sample of 325 PEH interviewed in Madrid (n = 259), Girona (n = 51), and Guadalajara (n = 15). The participants were of legal age. The inclusion criterion was belonging to operational categories 1, 2, or 3 (most severe homelessness) of the ETHOS classification [4] at the time of the interview. See Table 1.

2.3. Procedure

This study was based on data provided by people interviewed in various cities:
  • Women experiencing homelessness in Madrid staying overnight in accommodation for PEH (35.3%, n = 115). Given the relatively limited number of women experiencing homelessness in Madrid who were staying overnight in shelters or accommodation facilities for PEH, all the women who agreed to participate and met the criterion of ETHOS operational categories 2 and 3 were interviewed. A total of 6 transgender women were added to the description of the sample.
  • Men experiencing homelessness in Madrid staying overnight in accommodation for PEH (42.4%, n = 138). A representative sample of men experiencing homelessness who met the criteria of ETHOS operational categories 2 and 3. A random sampling strategy was used in all accommodation for men experiencing homelessness in Madrid; the number of participants was chosen proportionally and randomly in each care facility according to its capacity.
  • People experiencing homelessness in Guadalajara (4.6%, n = 15). All PEH in Guadalajara (men 66.7%, n = 10; women 33.3%, n = 5) who met the criteria of ETHOS operational categories 1 and 2 and agreed to be interviewed.
  • People experiencing homelessness in Girona (15.6%, n = 51). PEH (men 76.4%, n = 39; women 19.6%, n = 10; people who did not wish to express their gender identity 3.2%, n = 2) who met the criterion of ETHOS operational categories 2 and 3 and agreed to be interviewed.
The purpose of the research and the way the data would be used were explained to all the participants. Their informed consent to being interviewed was requested, with the guarantee that their anonymity would be respected at all times. A structured interview was used for the collection of information, helping to overcome any possible reading and/or comprehension difficulties. The structured interviews lasted between 45 and 80 min.

2.4. Instruments

As a measuring instrument, a structured interview was created for collecting data in various areas. Socio-demographic and drug use data were collected for this study.
Socio-demographic variables included gender, age, nationality, marital status, sexual orientation, and level of education.
The following standardised instruments were used to detect the level of substance dependence.
The Alcohol Use Disorders Identification Test (AUDIT) [53], which assesses a person’s level of alcohol dependence. It is divided into two distinct parts:
(a)
A 10-question questionnaire about alcohol consumption in the previous year.
(b)
A medical examination and trauma history aimed at overcoming possible defensive attitudes of the user.
The Spanish version of the questionnaire [54] was used. Scores between 0 and 5 indicate abstinence from alcohol consumption, while scores of 6 or more indicate risky drinking.
The Drug Abuse Screening Test (DAST-10) [55] assesses problematic drug use for the following drugs: cocaine, heroin, methadone, cannabis, and sedatives. It also offers the option of including other drugs that the respondent uses. The Spanish validation of the instrument was used [56]; it has the correct psychometric properties. It establishes four levels: 0 No problems reported; 1–2 Low level; 3–5 Moderate level; 6–8 Substantial level; 9–10 Severe level.
The Severity of Dependence Scale (SDS) [57] was used to screen for drug dependence and severity. The SDS consists of five items that quantify the effect of drug use; each item has a Likert-type response from zero to four. The Spanish adaptation used [58,59,60] has the correct psychometric properties.

2.5. Statistical Analysis

Central tendency and dispersion measures were used to describe quantitative variables, while absolute and relative frequencies were used for categorical variables. The Kolmogorov–Smirnov test was used to determine the normality of quantitative scales. The Mann–Whitney U test was used to compare non-parametric independent samples and the chi-square test was used to compare categorical variables. All variables were analysed with a 95% confidence interval (CI) and an alpha level of significance of 0.05. IBM® SPSS® for Mac (version 22) software was used to analyse the data.

3. Results

3.1. Sociodemographic Data

Of the sample of 325 people, 57.5% were cisgender men, 40% cisgender women, and 1.8% transgender. The average age was 51.2 years (SD = 11.4). A total of 52.6% of the participants were Spanish, 40.6% were immigrants without Spanish nationality, and 6.5% had dual nationality. Single people accounted for 61.8% of the sample, followed by separated people (27.7%), married people (7.7%), and widows (3.4%). A total of 91.7% identified as heterosexual, 3.7% bisexual, 3.1% homosexual, and 0.9% identified as being in other categories.
Similar percentages of participants had a school leaving certificate (32.9%) to those with secondary education or vocational training (37%), followed by 16% with higher education, 8.6% with incomplete primary education, and 5.2% with no education (Table 2).

3.2. Drug Use

The mean DAST-10 score for drug use was 1.26 (SD = 2.64); 70.2% of the participating PEH showed low risk or abstinence, 3.1% risky drug use, 8% harmful use, and 9.8% dependence on drugs. Grouping these DAST-10 results together, 73.2% showed non-harmful drug use and 17.8% harmful use.
The SDS tool gave a mean score of 5.34 (SD = 4.86); 10.8% of PEH showed no drug dependency and 13.2% showed dependency.
Finally, the mean from the AUDIT tool was 12.37 (SD = 9.11), where 9.5% had no-risk use, 17.5% had risky use, and 14.5% had dependence. Grouping the scales results in 32.3% of the participating PEH showing harmful or risky drug use, and 26.5% showing drug dependence (Table 3).
The Kolmogorov–Smirnov test for a sample determined that the quantitative variables of the scales used to assess drug addiction were not normal (DAST-10 scores = 0.456, p < 0.000, SDS scores = 0.156, p < 0.001 and AUDIT scores = 0.136, p < 0.001).

3.3. Comparison of Drug Use by Gender

The mean score on the DAST-10 scale for men was 1.13, while for women it was 1.04. No statistically significant differences were found between men and women (p = 0.966), neither in the interpretation of this scale for low risk or abstinence (men = 80.1%, women = 79.8%), for risky use (men = 1.5%, women = 4.4%), or for harmful use (men = 8.8%, women = 7.0%) (p = 0.563). There were also no significant differences for dependence according to the DAST-10 tool (men = 9.6%, women 8.8%, p = 0.830). Grouping results within the DAST-10 scale, similar percentages were observed in non-harmful use (men = 81.6%, women = 84.2%) and in harmful use (men = 18.4%, women = 15.4%) (p = 0.588).
The mean SDS score for men was 5.74, and for women it was 5.22. No statistically significant differences were found between men and women (p = 0.668). There were also no differences in the interpretation of this scale for non-dependence (men = 48.1%, women = 50.0%), and for dependence (men = 51.9%, women = 50.0%) (p = 0.895).
The results of the AUDIT alcohol assessment tool showed a mean score of 11.47 for men and 14.73 for women (p = 0.225), so no significant differences were found. There were also no differences in the interpretation of this scale for non-risky drinking (men = 41.2%, women = 33.3%) or risky drinking (men = 58.8%, women = 66.7%) (p = 0.507). There was no difference in dependence (men = 50.0%, women = 63.6%) (p = 0.026). Grouping the scores confirmed the few differences there were: in harmful or risky use (men = 20.0%, women = 28.9%; p = 0.992) and dependence (men = 22.5%, women = 26.4%; p = 0.456) (Table 4).

3.4. Comparison of Drug Use by Nationality

The mean score of the DAST-10 scale for Spanish people was 1.63, and for immigrants it was 0.95. No statistically significant differences were found between the two (p = 0.088). There were no statistically significant differences in the interpretation of this scale for low risk or abstinence (Spanish = 72.4%, immigrants = 80.7%), for risky use (Spanish = 3.8%, immigrants = 3.4%), or for harmful use (Spanish = 8.3%, immigrants = 9.2%) (p = 0.167). According to DAST-10, however, there were significant differences for dependence (Spanish = 15.4%, immigrants = 6.7%, p = 0.026). When grouping the scores, differences in the percentages were observed in non-harmful use (Spanish = 76.3%, immigrants = 100%) and in harmful use (Spanish = 23.7%, immigrants = 19%) (p = 0.114).
The mean score on the SDS scale for Spanish people was 6.0, while for immigrants it was 4.66. Statistical differences were found between the two (p = 0.279). Statistical differences were also found in the interpretation of this scale for non-dependence (Spanish = 44.0%, immigrants = 40.0%) and for dependence (Spanish = 56.0%, immigrants = 60.0%) (p = 0.714).
The results of the AUDIT alcohol assessment tool showed a mean of 13.36 for Spanish people and 9.61 for immigrants (p = 0.265), so there were no significant differences between the two. There were differences in the interpretation of this scale for non-risky drinking (Spanish = 32.8%, immigrants = 39.1%) and risky drinking (Spanish = 67.2%, immigrants = 60.9%) (p = 0.586). There were also differences in dependence (Spanish = 55.7%, immigrants = 47.8%) (p = 0.057).
The pooling of results from all the scales (DAST-10, SDS and AUDIT) showed that there were significant differences in harmful or risky use (Spanish = 42.4%, immigrants = 22.0%, p = <0.001) and dependence (Spanish = 35.3%, immigrants = 18.2%, p = 0.001) (Table 5).

4. Discussion

The aim of this study was to analyse the differences in drug use and drug dependence in a sample of PEH according to their gender and nationality. The PEH who participated were users of various shelters in Spain. The study used DAST-10, SDS and AUDIT dependence assessment tools to compare men and women experiencing homelessness, and those born in Spain and those who immigrated there. Drug use was similar in men and women. There were more differences in terms of nationality, with immigrants showing less risky use than Spanish people.
An analysis of the socio-demographic variables of the sample shows that the average age was 51, slightly above that of the largest group in the latest INE press release [3], where 51.1% of PEH were under 45 and 43.3% between 45 and 64 years of age. Other studies in Spain [61,62,63] and internationally [64,65,66] established an average age for PEH of between 37 and 45. This research also confirmed that most PEH are single, as was the case in our study, where the percentage of single people was 61.8%.
A total of 37% of the sample of PEH had been in secondary education and 32.9% had a school-leaving certificate, which is proportional to the 2022 data provided by the INE. The latter show that 65.0% of PEH had been in secondary education, 23.8% had been in primary education or lower, and 11.3% had been in higher education [3].

4.1. Drug Use by Gender

Although the percentage of men (57.5%) is higher than that of women (40%), the representation of the latter is considerable if we bear in mind that research on drug use has historically ignored gender differences both in the data and the results, thus generating an under-representation of the realities of women, and, consequently, a biased analysis of the drug use problem being studied [67].
The literature on the comparison of the genders is varied. On the one hand, studies such as [68,69,70] state that there are no differences in drug use between men and women; although there are differences in variables, such as age of onset of use or relapse. On the other hand, there are studies that do show important differences, such as that of Allen [71], which shows that drug-dependent women suffer the side effects of drugs much more than men. Or the study in [72], where men appear to be a driving factor in women’s drug use, as many women start using drugs because their partners use them. Another characteristic that differentiates women’s drug use is that many of them also suffer from other disorders, so there is a large percentage who suffer from dual pathologies [73,74].
This study shows that there are no significant differences between men and women in their levels of drug use. Internationally, at the beginning of the 1990s, the Council of Europe reported an increase in drug use by women, who were rapidly moving towards reaching the same levels as men [75]. Spanish women have been found to be regular users of legal drugs; they consume more psychotropic drugs, tobacco, and alcohol than men [76].
In some studies, comparative data on men and women’s drug use come from quantitative databases stored by health centres, the latter being known to the health centres because women have expressly sought medical treatment. The results are, therefore, sometimes biased, as they are extracted from the medical records of women who are in poorer health already linked to community health resources [29].
The similar use of alcohol between men and women is deserving of analysis, because it can be misleading. Those responsible for public policies aimed at carrying out actions to improve the quality of life of the homeless might understand that no significant differences in drug dependence means that both genders should receive the same interventions. We, therefore, see the introduction of the gender perspective in future projects as being of special importance, because, although no differences are detected at a quantitative level, these data must be complemented with other qualitative data that contextualise and provide a more in-depth understanding of social and individual aspects relating to women. In the Introduction, we referred to the greater stigmatisation of homeless women; in addition to this, however, they are more vulnerable than men to the effects of drugs at an organic level, so the same consumption is actually much more harmful than in men, while they are also found to have greater difficulties in starting treatment for substance addiction than men. What is more, even when their resistance to asking for help is overcome, the evolution of their addiction is usually worse than that of men. The causes that lead to consumption, as well as the biological, psychological, and social impact of drugs, are also different between the sexes [77].
To give continuity to the results obtained, a future line of research could be to generate a discussion with a focus group of the women interviewed addressing issues such as motivation to consume, feelings of guilt for accessing treatments, gender roles, perceived stigma and self-stigmatisation, and mental and organic health. Public policies must incorporate the social context as a determining factor in differences in consumption between homeless men and women. We cannot talk about women and their actions or feelings as a homogeneous group, because the social and cultural moment in which they grow up and live also determines their behaviours, attitudes, and emotions. In addition, they must take into account differential aspects, such as, for example, that women identify affective factors as the cause of the onset of drug use and addiction. The influence of the partner and the lack of affectivity in the family environment are the most common causes cited by women themselves as factors that promote the initiation of consumption. However, these factors do not appear in any cases when it comes to men, where others emerge associated with personality (insecurity, shyness, or inability to socialise) or other contextual factors, such as work or the social environment (friends) [78].
The results of this study are based on structured interviews conducted individually and in a setting of intimacy and trust. This encourages women, whether or not they are linked to the mental health system, to be more open in telling their stories and expressing their drug use more frankly. This may explain the minimal differences between the genders. Women are not less addicted to drugs, but they talk less about their addiction and their reasons for drug use are different.

4.2. Drug Use by Nationality

Immigrants represented 47.1% of the sample. The main objective of those without citizenship was to complete the paperwork necessary to obtain it. When they first arrived in Spain, they sought to make use of the resources that are available for this. A lack of proper documentation places a person in a situation of total vulnerability. It prevents them from carrying out basic aspects of daily life, such as registering with the local council or accessing social benefits. A significant correlation has been shown between this and variables such as emotional distress or the length of time spent being homeless [79]. The factor that most influences immigrants’ extreme exclusion is a lack of the correct documentation; documentation that enables them to access work and social resources under the same conditions as Spanish people [80,81].
In this study, immigrant PEH used less drugs than Spanish PEH; they, therefore, had better health. The healthy immigrant effect (HIE) described in the scientific literature helps explain the health status of immigrants on arrival in Spain. The HIE says that immigrants who have recently arrived in a country have better health than the local population with similar socio-demographic characteristics. Their health eventually converges on the level of the local population as the number of years of residence increases [82]. The less time migrants have been in a country, the more differences in drug use will exist with local PEH. Different studies show a tendency for immigrants from developing societies to have healthier lifestyles than the local population, thus also having higher risk factors for harmful habits, such as tobacco and alcohol consumption [83,84,85].
Considering that the length of residence in a country of immigrant PEH is a significant determinant of their health status and, consequently, of an evolution towards poorer health that also involves drug use, health policies should take immigration into account, developing interventions that aim to preserve the HIE as long as possible and addressing immigrants’ changing needs.
Some limitations of this study should be considered. Firstly, the data came from structured interviews about drug use. Due to the stigma attached to PEH who use drugs, it is natural that some PEH did not answer some questions fully, so it is impossible for us to know objectively their real drug use. Secondly, 1.8% of the sample were transgender PEH, but data on them have not been taken into account because they are not conclusive and the percentage of the sample they represent is too small. Other studies have considered as a limitation not being able to include people of other genders in their comparisons, due, in part, to the way the data are collected [29]. Thirdly, the sample mainly included PEH from Madrid in ETHOS categories 2 and 3. There were much smaller samples from Girona and Guadalajara. The latter only included ETHOS categories 1 and 2. Therefore, the results mainly reflect the consumption of PEH in the Madrid. For future research, it would be interesting to include a proportional sample from other cities. It would also be interesting to investigate whether living in one place or another affects the level of drug use. Fourth, the low representativeness of the data in some results causes them to lose robustness. This is what happened in the case of the sample of five women living on the street in Guadalajara. Future research could aim to design qualitative work with these women. Fifthly, analyses were not carried out according to gender and immigration, taking into account the low sample of immigrant women. Future lines of research could aim to analyse the differences in this regard. Finally, the countries of origin of the immigrant PEH are not known, so it is not known whether drug use is higher in PEH from some countries of origin than from others. It may be that in some countries some drugs are more normalised than others, as is the case with alcohol in Spain. It would be interesting to investigate whether immigrants’ drug use adapts to the culture of their destination country or whether they continue to consume substances that are more culturally accepted in their countries of origin.

5. Conclusions

In conclusion, there are no significant differences in the drug use of men and women experiencing homelessness. To investigate the issue further, it would be necessary to investigate the type of drugs used by gender, to find out whether the results agree with some studies that show that women use more legal drugs and men use more illegal drugs. In recent years, an increasing number of women have been using legal substances (tobacco, alcohol, and psychotropic drugs) [76]. To a certain extent, the type of drug denotes the reason it is used, which can be for recreational use or self-medication, among others. A high percentage of homeless women are known to have experienced traumatic experiences and severe and violent aggression [29], so it is not surprising that they use psychotropic drugs. Illegal drug use among women carries with it guilt, fear of the public, and an unfavourable emotional burden, due to the beliefs imposed by the patriarchal system that extols the model of a woman dependent on her husband, and of the caring mother [86]. Drug use depends on which illegal drug is not seen as feminine and what is expected of a woman [87,88]. The gender perspective is fundamental for making inequalities visible; inequalities that are understood as being in continuous change, under construction, and reproduced through everyday interactions [89]. The gender system categorises, stereotypes, orders, and assigns values and norms, fostering risk factors based on the differences in exposure and vulnerability between men and women [8].
Following the Spanish Government’s failure to implement the Comprehensive National Strategy for the Homeless (Estrategia Nacional Integral para Personas Sin Hogar) approved in 2015, with the degree of implementation barely reaching 38% by January 2020, strong pressure was exerted by third sector organisations, with the result that the following actions were finally carried out in 2022:
The Council of Ministers have approved a Law to address the social emergency in the area of housing [90], which defines and addresses the problem of homelessness for the first time. Different parliamentary groups have registered proposals for the future Law to focus on the eradication of this phenomenon through solutions based on housing.
The State Plan for Access to Housing 2022–2025 [91] has been approved, which includes an aid programme specifically aimed at facilitating access to housing for the homeless. Several autonomous regions have already launched this programme, and in 2023 it is expected to be improved and extended to more regions.
The Secretary of State for Social Rights has launched a process to design the new Homelessness Strategy 2023–2030 [92], which is expected to be more effective than the previous one. It is important that it extends beyond mere management and proposes the eradication of homelessness. Joint work and co-governance between housing and social services will be essential when carrying out an in-depth review of the care system, moving towards methodologies based on personalising support and the response in standardised housing in community settings, in line with the goal of deinstitutionalisation. Strong public leadership, accompanied by targeted and sufficient funding, will be essential to transform the system.
Thus, although progress is being made in terms of approving specific proposals for persons experiencing homelessness, it will be a few years before the effectiveness of the implemented actions can be assessed. Determining factors, such as a lack of budget, an absence of clear leadership, a lack of assessment committees to monitor the actions carried out, difficulties in designing the plan itself, as well as in defining and delimiting the problem of homelessness, which is aggravated by the growth of other adjacent phenomena, such as residential exclusion, make it very arduous and laborious to carry out projects and future lines of work, such as those proposed here, which no longer address the needs of the homeless in general, but of those most vulnerable, such as women and immigrants [93].
Further research is, therefore, needed into why men and women experiencing homelessness use drugs. Proposals for interventions from a gender perspective that address the reasons why PEH use drugs are also necessary. Although there are no significant differences in the level of drug use in men and women, there may be in the causes of drug use and the type of drugs used, leading to different kinds of dependence.
Immigrant PEH have a lower risk of drug use than Spanish PEH. This may be related to the reasons they are homeless, which may be more because of structural factors inherent to the process of immigration—the lack of documentation, unemployment, or the absence of links to the community network—and not to individual factors, such as separation from their families or drug use prior to immigration. Drug users probably do not migrate. Being homeless is a risk factor that can trigger drug use and risky and dependent behaviour. It is, therefore, necessary to implement better reception plans for immigrants that help maintain their health and avoid homelessness. These plans should address all types of issues related to the requirements of the destination country’s system, from socio-educational and cultural programmes to integration programmes—even for those without documentation, with the aim of obtaining it through work—to the provision of social housing that ensures that basic needs are met.

Author Contributions

Conceptualisation, F.C., A.P.-B. and J.J.V.; methodology, F.C. and S.F.-M.; formal analysis, F.C. and A.P.-B.; writing—original draft preparation, A.P.-B.; writing—review and editing, F.C., S.P., J.J.V. and S.F.-M.; supervision, S.F.-M. and J.J.V. All authors have read and agreed to the published version of the manuscript.

Funding

This research was supported by the Ministerio de Ciencia e Innovación [Ministry of Science and Innovation] of the Government of Spain (PID2019-104152GB-I00/AEI/10.13039/501100011033).

Institutional Review Board Statement

The study was conducted in compliance with the Internal Review Board [Comité de Ética de Investigación y Experimentación Animal] of the University of Alcalá (Ref. CEIP/2021/2/027).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The data presented in this study are available on request from the corresponding author. The data are not publicly available due to ethics and privacy requirements.

Acknowledgments

The authors would like to thank Andrea Espejo Grande, Pau Caravaca Grabalosa, and Ariana Chuez Vera for their help in recruiting the sample and collecting data.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. FEANTSA. Fourth Overview of Housing Exclusion in Europe. 2019. Available online: https://www.feantsa.org/download/oheeu_2019_eng_web5120646087993915253.pdf (accessed on 12 October 2022).
  2. INE, Instituto Nacional de Estadística. Encuesta de Centros y Servicios de Atención a las Personas sin Hogar. 2021. Available online: https://www.ine.es/prensa/ecaPESH_2020.pdf (accessed on 12 October 2022).
  3. INE, Instituto Nacional de Estadística. Encuesta a las Personas sin Hogar. 2022. Available online: https://www.ine.es/prensa/ePESH_2022.pdf (accessed on 15 October 2022).
  4. FEANTSA. European Typology on Homelessness and Housing Exclusion. 2011. Available online: https://www.feantsa.org/download/ethos_spain-24518105836657575492.pdf (accessed on 6 December 2022).
  5. Calvo, F.; Carbonell, X.; Badia, M. Homelessness and unemployment during the economic recession: The case of the city of girona. Eur. Sci. J. 2018, 14, 59. [Google Scholar] [CrossRef] [Green Version]
  6. Calvo, F.; Rived-Ocaña, M.; Font-Mayolas, S.; Carbonell, X. Sinhogarismo y salud mental durante la Gran Recesión (2008–2017): El efecto de la inmigración. Rev. Esp. Salud Publica 2021, 95, e1–e15. [Google Scholar]
  7. Ruiz, I.C.S. Las personas sin hogar: Transformaciones actuales acontecidas. In Respuestas Transdisciplinares en una Sociedad Global: Aportaciones Desde el Trabajo Social; Universidad de La Rioja: Logroño, Spain, 2016; p. 26. [Google Scholar]
  8. Sen, A. Nuevo Examen de la Desigualdad; Alianza Editorial: Madrid, Spain, 1995. [Google Scholar]
  9. Rokach, A. The lonely and homeless: Causes and consequences. Soc. Indic. Res. 2004, 69, 37–50. [Google Scholar] [CrossRef]
  10. Ellsworth, J.T. Street crime victimization among homeless adults: A review of the literature. Vict. Offenders 2019, 14, 96–118. [Google Scholar] [CrossRef]
  11. Murray, S. Violence against homeless women: Safety and social policy. Aust. Soc. Work 2011, 64, 346–360. [Google Scholar] [CrossRef]
  12. Cabrera, P. Personas sin hogar, hoy. Rev. Minist. Trab. Inmigr. 2000, 75, 51–74. [Google Scholar]
  13. Matulič, M.V. Procesos de Inclusión Social de las Personas sin Hogar en la Ciudad de Barcelona: Relatos de Vida y Acompañamiento Socia. Ph.D. Thesis, Universidad de Barcelona, Barcelona, Spain, 2015. Available online: http://www.tesisenred.net/handle/10803/393958 (accessed on 11 December 2022).
  14. Caton, C.L.M.; Boanerges-Dominguez, B.L.; Hasin, D.S.; Shrout, P.E.; Felix, A.; McQuistion, H.; Opler, L.A.; Hsu, E. Risk Factors for Long-Term Homelessness: Findings from a Longitudinal Study of First-Time Homeless Single Adults. Am. J. Public Health 2005, 95, 1753–1759. [Google Scholar] [CrossRef]
  15. Panadero, S.; Vázquez, J.J. La investigación sobre personas sin hogar y los recursos de atención al colectivo en España. Evolución, situación actual y retos futuros. In Psicología, Sociedad y Equidad: Aportes y Desafíos; Zúñiga, C., Ed.; Praxis Psicológica: Madrid, Spain, 2012; pp. 87–107. [Google Scholar]
  16. Fazel, S.; Khosla, V.; Doll, H.; Geddes, J. The prevalence of mental disorders among homeless in western countries: Systemic review and meta-regression analysis. PLoS Med. 2008, 5, e225. [Google Scholar] [CrossRef] [Green Version]
  17. Cruz Terán, J.; Fernández Morales, M.J.; González Boto, R.; Molina Linde, M.; Calero, E.; Castilla, E. Vivir en la Calle: Un Estudio Sobre las Personas sin Hogar en Granada; Cáritas Diocesana de Granada: Granada, Spain, 2006. [Google Scholar]
  18. Panadero Herrero, S.; Muñoz López, M. Salud, Calidad de Vida y Consumo de sustancias en función del tiempo en situación de sin hogar. An. Psicol. 2014, 30, 70–77. [Google Scholar] [CrossRef] [Green Version]
  19. Cuadrado, P. Mejora de la calidad de vida en pacientes con baja adherencia al tratamiento. Intervenciones en dependientes del alcohol “Sin Hogar”. Adicciones 2003, 4, 321–330. [Google Scholar] [CrossRef] [Green Version]
  20. Fajardo Bullón, F. Poliadicción y edad del inicio del consumo de drogas en personas sin hogar. Rev. Esp. Drogodepend. 2011, 6, 393–402. [Google Scholar]
  21. Gutwinski, S.; Schreiter, S.; Deutscher, K.; Fazel, S. The prevalence of mental disorders among homeless people in high-income countries: An updated systematic review and meta-regression analysis. PLoS Med. 2021, 18, e1003750. [Google Scholar] [CrossRef] [PubMed]
  22. Red Faciam. Sinhogarismo y Diversidad: Los 7 Ejes Fantásticos de una Intervención Interseccional. 2020. Available online: https://faciam.org/2020/12/02/presentacion-de-la-guia-sinhogarismo-y-diversidad/ (accessed on 14 February 2023).
  23. Diaz, M. Mujeres sin Hogar: Aproximación Teórica a una Situación de Desprotección, Vulnerabilidad y Exclusión; Instituto de Ciencias Políticas y Sociales (ICPS): Barcelona, Spain, 2014. [Google Scholar]
  24. Llort, A.; Ferrando, S.; Borrás, T.; Purroy, I. El doble estigma de la mujer consumidora de drogas: Estudio cualitativo sobre un grupo de auto apoyo de mujeres con problemas de abuso de sustancias alternativas. Cuad. Trab. Soc. 2013, 20, 9–22. [Google Scholar] [CrossRef] [Green Version]
  25. Navarro-Lashayas, M.A. Las vivencias emocionales de las personas migrantes sin hogar. Norte Salud Ment. 2014, 48, 44–52. [Google Scholar]
  26. Romo Avilés, N. Género y uso de drogas: La invisibilidad de las mujeres. Monogr. Humanit. 2005, 5, 65–83. [Google Scholar]
  27. Arangua, L.; Andersen, R.; Gelberg, L. The health circumstances of homeless women in the United States. Int. J. Ment. Health 2005, 34, 62–92. [Google Scholar] [CrossRef]
  28. Portero, M.; Utrilla, M.J. Personas sin hogar y salud. Rev. Doc. Soc. 2002, 17, 227–246. [Google Scholar]
  29. Calvo, F.; Watts, B.; Panadero, S.; Giralt, C.; Rived-Ocaña, M.; Carbonell, X. The prevalence and nature of violence against women experiencing homelessness: A quantitative study. Violence Against Women 2022, 28, 1464–1482. [Google Scholar] [CrossRef]
  30. Duke, A.; Searby, A. Mental ill health in homeless women: A review. Issues Ment. Health Nurs. 2019, 40, 605–612. [Google Scholar] [CrossRef]
  31. Escudero, M.J. Mujeres sin Hogar en Granada, un Estudio Etnográfico; Colección Feminae; Universidad de Granada: Granada, Spain, 2003. [Google Scholar]
  32. Urbano Aljama, A. La Mujer Drogodependiente: Especifidad de Género y Factores Asociados; Universidad de Deusto: Bilbao, Spain, 2004. [Google Scholar]
  33. Navarro-Lashayas, M.A.; Eiroa-Orosa, F.J. Substance use and psychological distress is related with accommodation status among homeless immigrants. Am. J. Orthopsychiatry 2017, 87, 23. [Google Scholar] [CrossRef] [Green Version]
  34. Neisler, J.; Shree, S.; Reitzel, L.R.; Chen, T.A.; Kendzor, D.E.; Obasi, E.M.; Wrighting, Q.; Businelle, M.S. Characterizing Alcohol Use Behaviors among Homeless Men and Women. Am. J. Health Behav. 2019, 43, 37–49. [Google Scholar] [CrossRef]
  35. Vázquez, J.J.; Panadero, S. Meta-stereotypes among women living homeless: Content, uniformity, and differences based on gender in Madrid, Spain. J. Community Psychol. 2020, 48, 1316–1326. [Google Scholar] [CrossRef]
  36. Matulic Domandzic, M.V.; Munté Pascual, A.; De Vicente Zueras, I. Sinhogarismo femenino: Una aproximación a la intersección entre género, edad y procesos migratorios. Res. Ageing Soc. Policy 2020, 8, 57–85. [Google Scholar] [CrossRef]
  37. Penya, M.; Maranillo-Castillo, L. Invisibles, vulnerables, pero resilientes: Mujeres migrantes en situación de sinhogarismo y estrategias de supervivencia femeninas. Feminismo/s 2022, 40, 305–335. [Google Scholar] [CrossRef]
  38. Alonso, A.; Palacios, J.; Iniesta, A. Mujeres sin hogar en España. Narrativas sobre género, vulnerabilidad social y efectos del entramado asistencial. OBETS Rev. Cienc. Soc. 2020, 15, 375–404. [Google Scholar] [CrossRef]
  39. Levy, B.D.; O’Connell, J.J. Health care for homeless persons. N. Engl. J. Med. 2004, 350, 2329–2332. [Google Scholar] [CrossRef]
  40. Gelberg, L.; Andersen, R.M. The behavioral model for vulnerable populations: Application to medical care use and outcomes for homeless people. Health Serv. Res. 2000, 34, 1273. [Google Scholar]
  41. Whitbeck, L.B. Mental Health and Emerging Adulthood among Homeless Young People; Psychology Press, Taylor & Francis Group: New York, NY, USA, 2012. [Google Scholar]
  42. Campbell, R.M.; Klei, A.G. A comparison of health access between permanent residents, undocumented immigrants and refugee claimants in Toronto, Canada. J. Immigr. Minor Health 2014, 16, 165–176. [Google Scholar] [CrossRef]
  43. Karl-Trummer, U.; Novak-Zezula, S. Access to health care for undocumented migrants in the EU. Eurohealth 2010, 16, 13–16. [Google Scholar]
  44. Fazel, M.; Wheeler, J.; Danesh, J. Prevalence of serious mental disorder in 7000 refugees resettled in western countries: A systematic review. Lancet 2005, 365, 1309–1314. [Google Scholar] [CrossRef]
  45. Lindert, J.; Ehrenstein, O.S.; Priebe, S.; Mielck, A.; Brähler, E. Depression and anxiety in labor migrants and refugees—A systematic review and meta-analysis. Soc. Sci. Med. 2009, 69, 246–257. [Google Scholar] [CrossRef] [PubMed]
  46. Brune, M.; Eiroa-Orosa, F.J.; Fischer-Ortman, J.; Haasen, C. Effectiveness of psychotherapy for traumatized refugees without a secure residency status. Int. J. Migr. Health Soc. Care 2014, 10, 52–59. [Google Scholar] [CrossRef]
  47. Domnich, A.; Panatto, D.; Gasparini, R.; Amicizia, D. The ‘healthy immigrant’ effect: Does it exist in Europe today? Int. J. Public Health 2012, 9, 7532. [Google Scholar] [CrossRef]
  48. Chiu, S.; Redelmeier, D.A.; Tolomiczenko, G.; Kiss, A.; Hwang, S.W. The health of homeless immigrants. J. Epidemiol. Community Health 2009, 63, 943–948. [Google Scholar] [CrossRef]
  49. Brabete, A.C. Examining Migrants’ Health from a Gender Perspective. In The Psychology of Gender and Health: Conceptual and Applied Global Concerns; Sanchez-Lopez, M.P., Liminana-Gras, R.M., Eds.; Elsevier: Amsterdam, The Netherlands, 2017. [Google Scholar]
  50. Tsai, J.; Gu, X. Homelessness among immigrants in the United States: Rates, correlates, and differences compared with native-born adults. Public Health 2019, 168, 107–116. [Google Scholar] [CrossRef]
  51. Calvo, F.; Turró-Garriga, O.; Fàbregas, C.; Alfranca, R.; Calvet, A.; Salvans, M.; Giralt, C.; Castillejos, S.; Rived-Ocaña, M.; Calvo, P.; et al. Mortality Risk Factors for Individuals Experiencing Homelessness in Catalonia (Spain): A 10-Year Retrospective Cohort Study. Int. J. Environ. Res. Public Health 2021, 18, 1762. [Google Scholar] [CrossRef]
  52. Gil-Salmeron, A.; Smith, L.; Yang, L.; Rieder, A.; Grabovac, I. Differences in health status, health behaviour and healthcare utilisation between Immigrant and native homeless people in Spain: An exploratory study. Health Soc. Care Community 2021, 29, 856–866. [Google Scholar] [CrossRef]
  53. Saunders, J.B.; Aasland, O.G.; Babor, T.F.; de la Fuente, J.R.; Grant, M. Development of the Alcohol Use Disorders Identification Test (AUDIT): WHO collaborative project one early detection of persons with harmful alcohol consumption: II. Addiction 1993, 88, 791–804. [Google Scholar] [CrossRef]
  54. Rubio, G.; Bermejo, J.; Cabellero, M.; Santo Domingo, J. Validación de la prueba para la identificación de trastornos por uso de alcohol (AUDIT) en atención primaria. Rev. Clín. Esp. 1998, 198, 11–14. [Google Scholar]
  55. Skinner, H.A. The Drug Abuse Screening Test. Addict. Behav. 1982, 7, 363–371. [Google Scholar] [CrossRef]
  56. Pérez Gálvez, B.; García Fernández, L.; de Vicente Manzanaro, M.P.; Oliveras Valenzuela, M.A.; Lahoz Lafuente, M. Spanish Validation of the Drug Abuse Screening Test (DAST-10-20 y DAST-10-10)/Validación española del Drug Abuse Screening Test (DAST-10-20 y DAST-10-10). Health Addict. Salud Drog. 2010, 10, 35–50. [Google Scholar] [CrossRef] [Green Version]
  57. Gossop, M.; Darke, S.; Griffiths, P.; Hando, J.; Powis, B.; Hall, W.; Strang, J. The Severity of Dependence Scale (SDS): Psychometric properties of the SDS in English and Australian samples of heroin, cocaine and amphetamine users. Addiction 1995, 90, 607–614. [Google Scholar] [CrossRef] [PubMed]
  58. Gonzalez-Saiz, F.; de Las Cuevas, C.; Barrio, G.; Domingo-Salvany, A. Versión española consensuada de la Severity of Dependence Scale (SDS). Med. Clín. 2008, 131, 797–798. [Google Scholar] [CrossRef] [PubMed]
  59. Iraurgi, I.; González, F.; Lozano, Ó.; Landabaso, M.; Jiménez, J. Estimación de un punto de corte para la Escala de Severidad de la Dependencia (SDS) para la adicción a opiáceos mediante análisis ROC. Actas Esp. Psiquiatr. 2010, 38, 270–277. [Google Scholar]
  60. Iraurgi, I.; Lozano, O.; González-Saiz, F.; Trujols, J. Valoración psicométrica de la Escala de Severidad de la Dependencia a partir de dos modelos de análisis: La Teoría Clásica de los Test y la Teoría de Respuesta al Ítem. Bol. Psicol. 2008, 93, 41–57. [Google Scholar]
  61. Vega, L.S. Salud Mental en Población sin Hogar: Estudio Epidemiológico en Albergues para Transeúntes de Gijón; SESPA: Oviedo, Spain, 1996. [Google Scholar]
  62. Cabrera, P. Huéspedes del Aire: Sociología de las Personas sin Hogar en Madrid; UPCO: Madrid, Spain, 1998. [Google Scholar]
  63. Muñoz, M.; Vázquez, C.; Vázquez, J.J. Los Límites de la Exclusión: Estudio Sobre los Factores Económicos, Psicosociales y de Salud que Afectan a las Personas sin Hogar en Madrid; Editorial Témpora: Madrid, Spain, 2003. [Google Scholar]
  64. Helvie, C.O.; Kunstmann, W. Comparison of definitions, prevalence, demographics, trends, causes and health concerns in seven countries. In Homeless: An International Perspective; Helvie, C.O., Kunstmann, W., Eds.; Greenwood Press: Westport, MI, USA, 1999. [Google Scholar]
  65. Marsapt, M. Les sans-domicile à Paris et aux Etats Unis. Données Soc. 1999, 30, 111–155. [Google Scholar]
  66. Toro, P.A. Homeless. In Comprehensive Clinical Psychology; Bellock, S., Hersen, M., Eds.; Elservier Science: Amsterdam, The Netherlands, 1998. [Google Scholar]
  67. Rekalde, A.; Vilches, C. Drogas de Ocio y Diversión y Perspectiva de Género en la CAV, 1st ed.; Servicio Central de Publicaciones del Gobierno Vasco: Vitoria-Gasteiz, Spain, 2005. [Google Scholar]
  68. Perry, L. Women and Drug Use: An Unfeminine Dependency; Druglink ISDD: London, UK, 1979. [Google Scholar]
  69. Zimmer-Höfler, D.; Dobler-Mikola, A. Swiss heroin addicted females. J. Subst. Abus. Treat. 1992, 9, 159–170. [Google Scholar] [CrossRef]
  70. Power, R. Women and drug user lifestyles. In Report of the Conference: Women and Substance Misuse; Brighton: London, UK, 1995; pp. 19–20. [Google Scholar]
  71. Allen, K. Development of an instrument to identify barriers to treatment for addicted women, from their perspective. Int. J. Addict. 1994, 29, 429–444. [Google Scholar] [CrossRef]
  72. Taylor, A. Women drug users. An ethnography of a female injecting community. Sociol. Health Illn. 1994, 16, 300. [Google Scholar]
  73. Sánchez, E. Uso de drogas en una muestra de adolescentes. An. Psicol. 2000, 16, 79–85. [Google Scholar]
  74. Blume, S. Chemical dependency in women: Important issue. Am. J. Drug Alcohol Abus. 1990, 16, 297–307. [Google Scholar] [CrossRef] [PubMed]
  75. Council of Europe. Second Periodical Report Presented to the Secretary General of the Council of Europe in Accordance with Article 15 of the Charter. Available online: https://rm.coe.int/0900001680928418%20MIN-LANG%20PR%20_2003_%206%20E%20Netherlands%202nd%20periodical%20report (accessed on 27 December 2022).
  76. Romo, N.; Vega, A.; Meneses, C.; Gil, E.; Markez, I.; Poo, M. Sobre el malestar y la prescripción: Un estudio sobre los usos de psicofármacos por las mujeres. Rev. Esp. Drogodepend. 2003, 28, 372–380. [Google Scholar]
  77. NIDA. 2021, August Summary. Available online: https://nida.nih.gov/publications/research-reports/substance-use-in-women/summary (accessed on 1 December 2022).
  78. Ortiz, P.; Clavero, E. Estilos de consumo de sustancias adictivas en función del género: Una aproximación desde el análisis de discurso. Acta Sociol. 2014, 63, 121–144. [Google Scholar]
  79. Navarro Lashayas, M.A. El factor diferencial de la migración en las personas sin hogar. Migraciones 2016, 39, 67–95. [Google Scholar] [CrossRef] [Green Version]
  80. Cabrera, P.; Malgesini, G. Inmigrantes y Sinhogarismo en España. Informe Nacional. 2002. Available online: http://bancadati.italialavoro.it/bdds/download?fileName=C_21_Strumento_2420_documenti_itemName_0_documento.pdf&uid=b7da3a3d-e5c8-4470-8160-07966ba677b4 (accessed on 10 December 2022).
  81. Sánchez, M.R.; Tezanos, S. Los inmigrantes sin hogar en España: Un caso extremo de exclusión social. Rev. Minist. Trab. Asun. Soc. 2004, 55, 45–64. [Google Scholar]
  82. Rivera, B.; Casal, B.; Currais, L. Healthy Immigrant Effect: Trayectoria de salud de la población inmigrante a partir de la ENSE 2011–2012. Estud. Econ. Apl. 2013, 31, 339–357. [Google Scholar] [CrossRef]
  83. Wister, A.V. Baby Boomer Health Dynamics: How Are We Aging? University of Toronto Press: Toronto, ON, Canada, 2005. [Google Scholar]
  84. Frisbie, W.P.; Cho, Y.; Hummer, R.A. Immigration and the health of Asian and Pacific Islander adults in the United States. Am. J. Epidemiol. 2001, 153, 372–380. [Google Scholar] [CrossRef] [PubMed]
  85. Hamilton, T.G.; Hummer, R.A. Immigration and the health of U.S. black adults: Does country of origin matter? Soc. Sci. Med. 2011, 73, 1551–1560. [Google Scholar] [CrossRef]
  86. Klee, H. Women, family and drugs. In Drug Misuse and Motherhood; Klee, H., Jackson, M., Lewis, S., Eds.; Routledge: New York, NY, USA, 2001. [Google Scholar]
  87. Ettorre, E. Revisioning women and drug use: Gender sensitivity, gendered bodies and reducing harm. Int. J. Drugs Policy 2004, 15, 327–350. [Google Scholar] [CrossRef]
  88. Romo Avilés, N. Cannabis, juventud y género: Nuevos patrones de consumo, nuevos modelos de intervención. Trastor. Adict. 2011, 13, 91–93. [Google Scholar] [CrossRef]
  89. West, C.; Zimmerman, D.H. Accounting for Doing Gender. Gend. Soc. 2009, 23, 112–122. [Google Scholar] [CrossRef] [Green Version]
  90. Ley 1/2022 de 3 de marzo para afrontar la emergencia social en el ámbito de la vivienda. Bol. Of. Estado 2022, 65, 34290–34306. Available online: https://www.boe.es/eli/es-ct/l/2022/03/03/1 (accessed on 14 February 2023).
  91. Real Decreto 42/2022 de 18 de Enero de 2022 por el que se Regula el Bono Alquiler Joven y el Plan Estatal para el Acceso a la Vivienda 2022–2025. Bol. Of. Estado 2022. Available online: https://www.boe.es/buscar/act.php?id=BOE-A-2022-802 (accessed on 14 February 2023).
  92. Resolución 20/01/2023, de la Secretaria del Estado de Derechos Sociales, por la que se publica el Acuerdo Marco del Consejo Territorial de Servicios Sociales y del Sistema para la Autonomía y Atención a la Dependencia para dar solución al sinhogarismo impulsado por la Estrategia nacional para la lucha contra el sinhogarismo en España. Bol. Of. Estado 2023, 31, 17335–17339. Available online: https://www.boe.es/diario_boe/txt.php?id=BOE-A-2023-3092 (accessed on 14 February 2023).
  93. IEPP, Instituto para la Evaluación de Políticas Públicas. Informe Ejecutivo. Evaluación Intermedia de la Estrategia Nacional Integral para Personas sin Hogar (2015–2020). 2020. Available online: https://funcionpublica.hacienda.gob.es/dam/es/portalsefp/evaluacion-politicas-publicas/Informes-de-Evaluacion/1-INFORME-EJECUTIVO-EVA-ENI-PSH_PROTEGIDO.pdf (accessed on 14 February 2023).
Table
Table 1. Sampling inclusion criteria according to the ETHOS classification.
Table 1. Sampling inclusion criteria according to the ETHOS classification.
Operational CategoryLiving SituationDefinition
1People living rough1.1Public space or external spaceLiving in the streets or public spaces, without a shelter that can be defined as living quarters
2People in emergency accommodation2.1Night shelterPeople with no usual place of residence who make use of overnight shelter or low threshold shelter
3People living in accommodation for the homeless3.1Homeless hostelWhere the period of stay is intended to be short term
3.2Temporary accommodation
3.3Transitional supported accommodation
Table
Table 2. Sociodemographic characteristics of the sample of PEH.
Table 2. Sociodemographic characteristics of the sample of PEH.
VariableValue
Age M (SD)51.2 (11.4)
Gender n (%)
    Man187 (57.5)
    Woman130 (40.0)
    Transexual6 (1.8)
Nationality n (%)
    Spanish170 (52.3)
    Immigrant132 (40.6)
    Dual21 (6.5)
Civil status n (%)
    Single201 (61.8)
    Married a25 (7.7)
    Separated b88 (27)
    Widow11 (3.4)
Sexual orientation n (%)
    Heterosexual298 (91.7)
    Bisexual12 (3.7)
    Homosexual10 (3.1)
    Other3 (0.9)
Education b n (%)
    No education17 (5.2)
    Incomplete primary education28 (8.6)
    School leaving certificate107 (32.9)
    Secondary school c120 (37.0)
    University d52 (16.0)
M Median. SD Standard Deviation. n Total. % Percentage. a Includes civil partnerships. b Includes separated and divorced married couples and separated civil partnerships. c Includes secondary and higher non-university studies (vocational training). d Including university studies, higher education, and doctorates.
Table
Table 3. Results of the instruments for measuring drug use.
Table 3. Results of the instruments for measuring drug use.
VariableValue
DAST-10 scores M (SD)1.26 (2.64)
    Low risk or abstinence n (%)228 (70.2)
    Risky use n (%)10 (3.1)
    Harmful use n (%)26 (8.0)
    Dependence n (%)32 (9.8)
Grouped DAST-10 scores
    Non-harmful use n (%) a238 (73.2)
    Harmful use n (%) b58 (17.8)
SDS score M (SD)5.34 (4.86)
    No dependence n (%)35 (10.8)
    Dependence n (%)43 (13.2)
AUDIT score M (SD)12.37 (9.11)
    No-risk use n (%)31 (9.5)
    Risky use n (%)57 (17.5)
    Dependence n (%)47 (14.5)
Scales grouped together c
    Harmful or risky use105 (32.3)
    Dependence86 (26.5)
M Median. SD Standard Deviation. n Total. % Percentage. a For DAST-10, non-harmful use is low-risk use or abstinence plus risky use. b For DAST-10, harmful use is harmful use plus dependence. c Unification of scores for harmful use, risky use, and/or dependence on any substance with all the measuring instruments. DAST-10: Drug Abuse Screening Test; SDS: Severity Dependence Scale; AUDIT: Alcohol Use Disorders Identification Test.
Table
Table 4. Gender differences among PEH according to instruments for the assessment of drug and alcohol abuse and dependence (DAST-10-10, AUDIT, SDS).
Table 4. Gender differences among PEH according to instruments for the assessment of drug and alcohol abuse and dependence (DAST-10-10, AUDIT, SDS).
VariableGender *Values
MenWomenx2/UglpV de Cramer
DAST-10 scores M (SD)1.13 (2.49)1.04 (2.45)7735.02480.966-
    Low risk or abstinence n (%)109 (80.1)91 (79.8)2.17820.5630.093
    Risky use n (%)28 (1.5)5 (4.4)
    Harmful use n (%)12 (8.8)8 (7.0)
    Dependence n (%)13 (9.6)10 (8.8)0.04610.8300.014
Grouped DAST-10 scores
    Non-harmful use n (%) a111 (81.6)96 (84.2)0.29310.5880.034
    Harmful use n (%) b25 (18.4)18 (15.8)
SDS score M (SD)5.74 (5.09)5.22 (5.23)340.0530.668-
    No dependence n (%)13 (48.1)12 (50.0)0.01710.8950.018
    Dependence n (%)14 (51.9)12 (50.0)
AUDIT score M (SD)11.47 (10.02)14.73 (11.02)1059.5650.225-
    No-risk use n (%)14 (41.2)11 (33.3)0.44010.5070.081
    Risky use n (%)20 (58.8)22 (66.7)
    Dependence n (%)17 (50.0)21 (63.6)1.26810.0260.138
Scales grouped together c
    Harmful or risky use40 (29.0)35 (28.9)<0.00110.9920.001
    Dependence31 (22.5)32 (26.4)0.55510.4560.046
M Median. SD Standard Deviation. n Total. % Percentage. * The six transgender women are not included and the two people who did not want to reveal their gender are not included. a For DAST-10, non-harmful use is low-risk use or abstinence plus risky use. b For DAST-10, harmful use is harmful use plus dependence. c Unification of scores for harmful use, risky use, and/or dependence on any substance with all the measuring instruments. DAST-10: Drug Abuse Screening Test, SDS: Severity Dependence Scale, AUDIT: Alcohol Use Disorders Identification Test.
Table
Table 5. Differences by origin among homeless people according to instruments for the assessment of drug and alcohol abuse and dependence (DAST-10, SDS, AUDIT).
Table 5. Differences by origin among homeless people according to instruments for the assessment of drug and alcohol abuse and dependence (DAST-10, SDS, AUDIT).
VariableNationalityValues
SpanishImmigrantx2/UglpV de Cramer
DAST-10 scores M (SD)1.63 (3.05)0.95 (2.15)8394.02720.088-
    Low risk or abstinence n (%)113 (72.4)96 (80.7)5.06320.1670.136
    Risky use n (%)6 (3.8)4 (3.4)
    Harmful use n (%)13 (8.3)11 (9.2)
    Dependence n (%)24 (15.4)8 (6.7)4.92610.0260.134
Grouped DAST-10 scores
    Non-harmful use n (%) a119 (76.3)100 (84.0)2.50110.1140.095
    Harmful use n (%) b37 (23.7)19 (16.0)
SDS score M (SD)6.00 (5.19)4.66 (4.22)620.0770.279-
    No dependence n (%)2 (44.0)10 (40.0)0.10910.7140.038
    Dependence n (%)28 (56.0)15 (60.0)
AUDIT score M (SD)13.36 (10.39)9.61 (7.79)590.5820.265-
    No-risk use n (%)20 (32.8)9 (39.1)0.29710.5860.059
    Risky use n (%)41 (67.2)14 (60.9)
    Dependence n (%)34 (55.7)11 (47.8)0.42010.0570.071
Scales grouped together c
    Harmful or risky use72 (42.4)29 (22.0)13.8691<0.0010.214
    Dependence60 (35.3)24 (18.2)10.83710.0010.189
M Median. SD Standard Deviation. n Total. % Percentage. a For DAST-10, non-harmful use is low-risk use or abstinence plus risky use. b For DAST-10, harmful use is harmful use plus dependence. c Unification of scores for harmful use, risky use, and/or dependence on any substance with all the measuring instruments. DAST-10: Drug Abuse Screening Test, SDS: Severity Dependence Scale, AUDIT: Alcohol Use Disorders Identification Test.
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MDPI and ACS Style

Parés-Bayerri, A.; Calvo, F.; Font-Mayolas, S.; Panadero, S.; Vázquez, J.J. Differences in Drug Use among Persons Experiencing Homelessness According to Gender and Nationality. Int. J. Environ. Res. Public Health 2023, 20, 4007. https://doi.org/10.3390/ijerph20054007

AMA Style

Parés-Bayerri A, Calvo F, Font-Mayolas S, Panadero S, Vázquez JJ. Differences in Drug Use among Persons Experiencing Homelessness According to Gender and Nationality. International Journal of Environmental Research and Public Health. 2023; 20(5):4007. https://doi.org/10.3390/ijerph20054007

Chicago/Turabian Style

Parés-Bayerri, Alícia, Fran Calvo, Sílvia Font-Mayolas, Sonia Panadero, and José Juan Vázquez. 2023. "Differences in Drug Use among Persons Experiencing Homelessness According to Gender and Nationality" International Journal of Environmental Research and Public Health 20, no. 5: 4007. https://doi.org/10.3390/ijerph20054007

APA Style

Parés-Bayerri, A., Calvo, F., Font-Mayolas, S., Panadero, S., & Vázquez, J. J. (2023). Differences in Drug Use among Persons Experiencing Homelessness According to Gender and Nationality. International Journal of Environmental Research and Public Health, 20(5), 4007. https://doi.org/10.3390/ijerph20054007

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