| Literature DB >> 27411086 |
Danielle Horyniak1,2,3, Jason S Melo1, Risa M Farrell1, Victoria D Ojeda1, Steffanie A Strathdee1.
Abstract
INTRODUCTION: Forced migration is occurring at unprecedented levels. Forced migrants may be at risk for substance use for reasons including coping with traumatic experiences, co-morbid mental health disorders, acculturation challenges and social and economic inequality. This paper aimed to systematically review the literature examining substance use among forced migrants, and identify priority areas for intervention and future research.Entities:
Mesh:
Year: 2016 PMID: 27411086 PMCID: PMC4943736 DOI: 10.1371/journal.pone.0159134
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Flow chart of articles screened and selected for review.
Characteristics and key findings of studies of refugees, internally displaced persons, and asylum seekers (N = 55).
| Reference | Year conducted | Location | Sample | Study design, methods and measures | Observation point | Main findings | Quality assessment |
|---|---|---|---|---|---|---|---|
| Akinyemi, 2012 [ | -- | Oru-Ijebu, Nigeria | 444 adult refugee camp residents from Liberia, Sierra Leone & Togo. Mean age 34.8 years (SD 12.8), 59% male, 52% secondary educated, 24% tertiary educated. (Comparison sample: 527 adult residents of Oro community) | Cross-sectional study. Cluster sampling of camp residential blocks (refugee sample) and census areas (residential sample). Interviewer-administered questionnaire, including MINI to assess substance use. | Mean length of residence in camp: 8.6 years (SD 4.8) | Lower prevalence of alcohol abuse among the refugee sample compared with resident sample (13.5% vs. 19%), but higher prevalence of drug abuse (19.6% vs. 15.6%). | Moderate |
| Beckerleg, 2005 [ | 2004 | Ifo, Dadaab & Hagadera, Kenya | Somali refugees who sold and/or consumed khat. | Ethnography. | -- | Khat retail and use pervasive. In Ifo, 50–100 Somali refugees sell khat daily in the market. Khat chewing as a pastime and way of self-medicating feelings of hopelessness. Some evidence of alcohol and cannabis use. | Low |
| Ezard, 2010 [ | 2010 | Thailand | 1256 male Burmese refugees living in Mae-La Refugee camp. Age 15–49. | Cross-sectional feasibility study of annual screening and brief intervention for high-risk alcohol use. Opportunistic screening of outpatient clinic attendees using AUDIT(score ≥8 considered high-risk, score ≥20 considered suggestive of dependence and referred to specialist service) | -- | 36% positive for high-risk alcohol use and 4% had scores suggestive of alcohol dependence. Low uptake of referrals. | Moderate |
| Ezard, 2011 [ | 2006–2008 | Kenya, Liberia, Uganda, Iran, Pakistan & Thailand | Kenya: Refugees in camp setting. 80% Sudanese. Age 17–57. 9 ethnic groups. Liberia: Returned refugees & IDPs in urban setting. Age 17–58. Uganda: IDPs in camp setting. Age 21–54. Predominantly Acholi ethnicity. Iran: Afghan refugees in urban settings. Age 16–55. Pakistan: Afghan refugees in camp and urban settings. Age 16+. Thailand: Burmese refugees in camp setting. Age 17–55. | Rapid assessments of substance use and related harms. Methods varied across settings, including observations, focus groups, and interviews with refugees, IDPs and key informants. | -- | Kenya: Alcohol production and use widespread. Other substances noted: Khat, cannabis, petrol and other solvent inhalation. Alcohol used for enjoyment, socialisation and to 'kill time'. Alcohol production & sale an important source of income. Alcohol linked to GBV, mental health concerns, family disruption, diversion of household resources, risky sexual behaviour. Liberia: Alcohol and cannabis easily available, cheap and widely consumed for socialisation and relaxation. Ex-combatants considered the main sellers and users of Cannabis. Diazepam also used, particularly by combatants and other young people. Cocaine and heroin also available. Cocaine/cannabis smoking mix 'dugee' common. Uganda: Alcohol readily available and use widespread. Used for pleasure and recreation. Alcohol associated with unsafe sex, health problems, interpersonal problems, gender-based violence. Alcohol brewing a source of income for many women. For men, alcohol use linked to dispossession, alienation, idleness and loss of traditional gender roles. Cannabis also used though use hidden. Iran: Main substance opium, commonly through chasing the dragon. Heroin, 'Iranian crack' and crystal (highly concentrated forms of heroin) becoming more popular. Alcohol use rare. Cannabis (hashish) and amphetamine use reported among young people. Young male garbage pickers seen as particularly vulnerable population. Pakistan: Main substances—opium, hashish and benzodiazepines. Alcohol uncommon and mostly used by young people. Some injecting in urban but not rural areas. Limited skills, education and employment opportunities believed to promote substance use. Thailand: Alcohol cheap and readily available, mostly home-brewed. Alcohol culturally accepted response to stresses of displacement among men. Less commonly, use of yaba (amphetamine), diazepam, cough syrup, opiates, cannabis, glue inhalation. | Moderate |
| Ezard, 2012 [ | 2009 | Thailand | 636 female Burmese refugees living in Mae-La Refugee camp. Age 15–47. | Mixed methods study. Quantitative component involved all pregnant women attending the camp’s antenatal care clinic during a two week period. A single-item measure of frequency of risky high-volume drinking based on the third question from AUDIT was used to assess women’s and their reports of their male partners’ alcohol consumption. At least monthly reporting of consumption of six or more standard drinks on one occasion was considered positive. Qualitative component included interviews with 97 key informants (See Ezard, 2014 (below)). | -- | Prevalence of risky alcohol use prior to pregnancy 0.2%. Reported risky alcohol use among male partners 24.4%. Strong social controls against women’s alcohol use and drinking to intoxication among males. | Moderate |
| Ezard, 2014 [ | 2009 | Thailand | 97 Burmese residents of Mae-La refugee camp with personal experience of alcohol use (either self or significant other). 68% male, 13% aged 15–20 years. | Qualitative study, using semi-structured interviews focusing on alcohol use and related harms. Recruitment through health services and chain referral. | 57% displaced for less than 5 years | 77% self-identified as current alcohol users. Alcohol consumed for social integration and considered to improve health and appetite. Socially accepted rules promoted drinking in moderation, particularly for women. Drinking alcohol associated with coping with life in displacement. Conversely some saw camp conditions (security, access to services, food rations) as protective against problematic alcohol use. Household economic impacts and alcohol-related violence towards women, particularly from intimate partners were key concerns. | High |
| Kane, 2014 [ | 2009–2013 | Burundi, Rwanda, Tanzania, Chad, Djibouti, Ethiopia, Kenya, Uganda, Namibia, Zambia, Liberia, Yemen, Nepal, Bangladesh, Thailand | Attendees of primary care clinics in 90 refugee camp settings (monthly average 1.86 million refugees). | Cross-sectional study. Routinely collected outpatient clinic data used to estimated rates of visits for mental, neurological and substance use disorders. Substance use disorder defined as consumption of alcohol or another substance on a daily basis with difficulty controlling consumption. | -- | Alcohol/substance use made up 1.1% of visits for all mental, neurological and substance use disorders (2.0% among males, 0.4% among females). | High |
| Khanani, 2010 [ | -- | Karachi & Quetta, Pakistan | 556 Afghan refugees. 74% male, 43% aged 30 or younger. | Cross-sectional study. Convenience sample from antenatal clinics and free health camps. | -- | 23% used drugs, 7% injected drugs. | Low |
| Luitel, 2013 [ | 2010 | Goldhap & Timai, Nepal | 8021 Bhutanese aged 15 or older in two refugee camps. 49% male, mean age 35.3 years | Cross-sectional study. Census method using camp list provided by UNHCR. Interviewer-administered surveys using AUDIT to assess hazardous/harmful drinking (score ≥8) and possible alcohol dependence (score ≥20). | -- | 22% of men and 7% of women were current drinkers. Among current drinkers, prevalence of hazardous/harmful drinking was 23% among males and 9% among females, and the prevalence of possible dependence was 5% among males and 2% among females. In MLR, male sex, low education, history of alcohol use in the family, smoking/tobacco use, substance use and residence in Timai camp were all significantly associated with hazardous/harmful drinking. | High |
| Maksimovic, 2011 [ | 2000 | Belgrade, Serbia | 32 IDPs high school students from Kosovo. (Comparison sample: 528 high school students who had lived in Belgrade for more than 10 years) | Cross-sectional study. Census of final year students at all high schools in one central Belgrade municipality. Used self-complete anonymous questionnaire to measure past-month alcohol consumption and number of beverages consumed, past-month psychoactive substance use and number of times used. Current use defined as drank ≥1 alcoholic drink of any type in the past month, and used psychoactive substance ≥1 time in the past month. | -- | 56% of IDPs reported current alcohol consumption and 6% reported current psychoactive substance use. There were no significant differences in alcohol or substance use between IDP students and non-IDP students. | Moderate |
| Meyer, 2013 [ | 2011 | Ban Mai Nai Soi, Thailand | 78 Burmese (Karen) residents of Ban Mai Nai Soi refugee camp. | Qualitative study involving free listing and semi-structured interviews. Convenience sample of adult and child camp residents and purposely selected key informants. | -- | Free-listing by adults and children reported alcohol consumption among both adults and children as a major problem. Alcohol associated with economic problems, violence and neglect. Alcohol use among children described as a response to stressors including poverty, adult drinking, social pressures and abuse and neglect. | Moderate |
| Puertas, 2006 [ | 2004 | Sincelejo, Colombia | 201 adult IDPs. (Comparison sample: 677 adult urban slum residents) | Cross-sectional study. Cluster random sampling of households. Self-complete questionnaire, measuring excessive alcohol consumption in the past 30 days. | -- | 8.5% of IDPs reported excessive alcohol consumption. There was no significant relationship between IDP status and alcohol consumption. | Moderate |
| Roberts, 2011 [ | 2006 | Gulu and Amuru districts, Uganda | 1206 IDP camp residents. 40% male, mean age 35 years. | Cross-sectional study. Multistage cluster sampling. Interviewer-administered questionnaire. Alcohol use measured using AUDIT (alcohol disorder score ≥8). | 70% displaced more than 5 years | 32% of men and 7% of women met the criteria for alcohol disorder. Factors significantly associated with alcohol disorder in MLR were male sex, older age, and greater cumulative trauma exposure. | High |
| Roberts, 2014 [ | 2011 | Georgia | 3600 IDPs and IDP-returnees. 35% male. | Cross-sectional study. Stratified random sampling at household level. Interviewer-administered questionnaire. Alcohol use measured using AUDIT (hazardous drinking score 8–14, harmful drinking score 15–19, dependent drinking score ≥20). Episodic heavy drinking defined by WHO as >60g pure alcohol per drinking session in the past 7 days. | -- | Among current drinkers 28% of men and 1% of women reported hazardous alcohol use or more serious alcohol disorders. Among males, experiencing serious injury, and depressive symptoms were significantly associated with hazardous drinking/alcohol use disorder. Among current drinkers 12% of men and 2% of women were classified as episodic heavy drinkers. Alcohol availability was significantly associated with episodic heavy drinking. | High |
| Shedlin, 2014 [ | 2008–2009 | Quito, Ecuador | 96 Colombian refugees. 78% male. | Qualitative study combining semi-structured interviews, focus groups, ethnographic observations and media analysis. Snowball sampling used to recruit participants for individual interviews and focus groups. | -- | Alcohol and drug use noted among women engaging in sex work. | Low |
| Streel, 2010 [ | 2009 | Dadaab, Kenya and N’Zerekore, Guinea | 4 camps hosting refugees primarily from Côte d’Ivoire and Liberia. | Qualitative study including observations, non-structured interviews with refugees and field workers. | -- | Alcohol widely used and an important source of income. Khat commonly used among Somali refugees in Kenya. Cannabis use reported among teenagers and young adults in both sites. Substance use linked with psychological trauma, coping capacity and lack of future prospects. | Low |
| Zafar, 2003 [ | 2001 | Quetta, Pakistan | 143 Afghan refugee drug users. 100% male, median age 35 (IQR 26–41) (Comparison sample 813 Pakistani drug users: | Cross-sectional study. All new clients registering at a drug user drop-in centre. Interviewer-administered questionnaires. | -- | 69% of Afghan refugees currently injected drugs. 33% reported ever being in drug treatment, significantly lower than the 49% of Pakistanis who had ever been in drug treatment. | Moderate |
| Arfken, 2011 [ | -- | Detroit, USA | 75 Iraqi refugees. 31% male, average age 38 years. (Comparison samples: 52 non-refugee immigrants from other Arab countries; Arab-Americans in the National Survey on Drug use and Health (NSDUH); Arab/Chaldean origin participants in the Michigan Behavioural Risk Factor Surveillance System (BRFSS)). | Cross-sectional study. Participants recruited from community sites. Interviewer-administered questionnaires. Alcohol prevalence measure derived from AUDIT question “How often do you have a drink containing alcohol?” | -- | 13.4% reported lifetime drinking, with a higher prevalence among males than females (27.8% vs. 8.2%). Substantially lower than prevalence of lifetime drinking among Iraqi non-refugee immigrants (46.2%) and Arab-American NSDUH participants (50.8%) and past-month drinking among Arab/Chaldean BRFSS participants (45.6%). Among drinkers, refugees were newer arrivals (2.5 years) than non-refugees (5.6 years). | Moderate |
| Arfken, 2014 [ | 2010–2011 | Southeastern Michigan, USA | 298 adult Iraqi refugees. (Comparison sample: 298 non-Iraqi Arab immigrants) | Cohort study (12 months follow-up). Random sampling from refugee resettlement agencies (refugee sample) and advertisement and community presentations (non-refugee immigrant sample). Interviewer-administered questionnaires. Lifetime and past 30-day alcohol use measured at baseline, and past-year alcohol use measured at follow up. | Average time in US: 0.7 months | At baseline, the prevalence of lifetime drinking was similar among refugees and non-refugee immigrants (20.3% vs. 20.8%). Prevalence of drinking increased among refugees to 38.5% at 12-months follow-up. | Moderate |
| Beckwith, 2009 [ | 2000–2006 | Rhode Island, USA | Cases: 52 HIV+ patients who met the UNHCR definition of refugees. 94% from Sub-Saharan Africa, mean age 34.2 years (range 21–56), 81% heterosexual. Controls: 52 HIV+ non-refugees matched on sex, age and date of initial appointment | Case-control study using routine medical records. Data collected on lifetime alcohol use and lifetime injecting drug use. | -- | 15% of refugee cases reported lifetime alcohol use compared with 40% of non-refugee controls. 2% of refugee cases reported lifetime injecting drug use compared with 13% of non-refugee controls. | Moderate |
| Bhui, 2006 [ | -- | London, UK | 143 Somali refugees. 50% male, 27% aged 25 or younger, majority unemployed. | Cross-sectional study. Random sample of patients with Somali names registered with primary care services, and convenience sample recruited from community settings. Interviewer-administered questionnaires, including MINI to assess substance use. | -- | Low prevalence of both alcohol and substance dependence (both 0.7%). Khat use significantly associated with mental disorder. | Moderate |
| Bhui, 2010 [ | -- | London, UK | 180 Somali refugees. 51% male, mean age 40.4 years (range 20–88). | Cross-sectional study. Participants randomly selected from a community registry of 700 Somali people. Interviewer-administered surveys. | Mean time in UK: 8.11 years (Range: 1–16) | 43% of participants used Khat on a weekly basis. Mean frequency of past-week khat use 1.3 days. Khat use not significantly associated with psychotic symptoms or anxiety or depressive symptoms. | Moderate |
| Brune, 2003 [ | -- | Stockholm, Sweden | N/A | Case study of 40-year old Iranian refugee seeking mental health services. | -- | Use of opium, hashish and heroin to self-medicate symptoms indicative of PTSD (e.g. nightmares). | Low |
| Buljan, 2002 [ | -- | Vojnic, Croatia | 200 adult IDPs from Bosnia & Herzegovina. 50% male, mean age 42.2 years (SD 13.6) | Cross-sectional study. Random sample from regional registry of IDPs. Structured clinical interview (DSM-IV criteria) to assess alcohol dependence. | -- | Prevalence of alcohol dependence 25%. Prevalence significantly higher among those with PTSD than without (43% vs. 7%). | Low |
| D’Amico, 2007 [ | 2003–2005 | Long Beach, USA | 490 Cambodian refugees who lived under the Khmer Rouge regime. 39% male, mean age 52.2 years (SD 11.4), 72% low English proficiency. | Cross-sectional survey. Three-stage random household sampling process. Interviewer-administered questionnaire. Measures included past 30-day alcohol use, frequency of use and number of drinks consumed. Heavy alcohol drinking defined as at least one occasion in the past 30 days on which 5 or more drinks were consumed among males, or 4 or more drinks for females. Probable alcohol use disorder assessed using AUDIT (score ≥7 for women, ≥8 for men). | Mean year of immigration: 1983 (SD 3.8) | 26% reported any alcohol consumption in the past 30-days. In MLR, male sex and younger age were significantly associated with any drinking in the past 30 days. 15% of male drinkers and 11% of female drinkers met AUDIT criteria for probable alcohol use disorder. | High |
| D’Avanzo, 1994 [ | -- | Long Beach, & Lowell, USA | 120 Cambodian refugee women. Mean age 40.24 (SD 13.3). Low education and household income. | Cross-sectional study. Snowball sampling. Interviewer-administered survey, capturing alcohol and street drug use among women and their family members. | Mean time in US: 6.83 years (SD 2.72) | 63% of women never used alcohol and 92% never used street drugs. Among those who consumed alcohol, common reasons for drinking were to forget troubles, and to treat emotional and physical health problems. Drinking and drug problems were reported among 7% and 8% of other family members, respectively. | Moderate |
| D’Avanzo, 2000 [ | -- | France and USA | 155 Cambodian refugee women who had delivered a baby within the past two years. French sample older, more educated and higher language proficiency. | Cross-sectional survey. Snowball sampling. Interviewer-administered questionnaire collected data on drinking prevalence, frequency and beverages of choice. | -- | 34% of US participants and 15% of French women never drank. Among the French sample, 37% drank in the first trimester of pregnancy, of whom 12% drank in the third trimester. Among the US sample, 23% drank in the first trimester of pregnancy, of whom 72% drank in the third trimester. | Moderate |
| Dupont, 2005 [ | 1999 | The Netherlands | 21 asylum seekers of Somali, Afghanis, Iranian, Iraqi and Yugoslav, Palestinian, Algerian, and Guinean background. 95% male, age range 20–52. | Qualitative study using semi-structured interviews. Convenience sample recruited from asylum seeker centres. | Range: 6 months to 4.5 years. | Reasons for substance use included coping with memories and psychosocial stress, ‘killing time’ while waiting for bureaucratic processes, and boredom. Some believe Dutch drug and alcohol policy is too tolerant. | Moderate |
| Fu, 2010 [ | 2003–2005 | New Orleans, USA | 127 Vietnamese refugees aged 20–54 who arrived in the US 1975–1990. 66% male, mean age 42 (SD 4.81) (Comparison samples: 135 returnees living in Ho Chi Minh City, 447 never-leavers living in Ho Chi Minh City. | Cross-sectional study. Random sampling using registry of Vietnamese-American households (refugee sample) and multi-stage household cluster sampling (returnee and never-leaver samples). Interviewer-administered survey. Binge drinking defined as drinking five or more shots every day, and measured among male participants only. | 15–30 years | 16% of refugees reported binge drinking, with no significant difference between refugees, returnees and never-leavers. | Moderate |
| Furber, 2013 [ | -- | Wollongong, Australia | 31 Burmese refugees and 10 service providers working with refugees. 61% male, age 19–65 years. | Qualitative study using focus groups and in-depth interviews. | -- | Betel quid used at ceremonies and social get-togethers. Community leaders estimated that 85% of Burmese use betel quid. Betel quid chewing viewed as a more benign habit than smoking. | Low |
| Horyniak, 2015 [ | 2012–2013 | Melbourne, Australia | 16 Sudanese, Eritrean, Kenyan and Somali refugee-background men aged 18–30 years who had ever used illicit drugs. | Qualitative study using semi-structured interviews. Opportunistic sampling and agency referrals. | Median time in Australia: 10.5 years (range 6–14 years) | Alcohol consumed on a near-daily basis, with drinking to intoxication common. Key motivations for harmful drinking: to cope with pre- and post-migration trauma, to cope with boredom and marginalisation, and as a social and enjoyable experience. A range of health, social and criminal consequences of alcohol use reported. Limited engagement with services to reduce alcohol use, due to stigma, lack of support and limited knowledge of services, and perceived inability to meet needs. | High |
| Jenkins, 1990 [ | -- | San Francisco & Oakland, USA | 215 Vietnamese refugees. 54% male, median age 35 years (range 21–78), 46% no or limited English. | Cross-sectional study. Random sampling from telephone book, and referral from refugee resettlement and support agencies. Interviewer-administered questionnaire. Measures adapted from the Behavioural Risk Factor Surveillance System. Current drinking defined as 1 or more drink in the past month, heavier drinking defined as 2 or more drinks per day in the past month, binge drinking defined as 5 or more drinks on 1 or more occasions in the past month. | Mean time in US: 7.6 years (SD 3.4) | 67% of men and 18% of women current drinkers. 35% of men and 0% of women classified as binge drinkers. | Moderate |
| Jeon, 2008 [ | 2004 | Republic of Korea | 62 North Korean refugees. 55% male. | Cross-sectional study. Recruitment from a government-sponsored educational facility for North Korean refugees. Self-complete survey using the Personality Assessment Inventory, which includes scales assessing alcohol and drug problems. | Mean time since leaving North Korea: 3.3 years (SD 3.19) | Average t-score on the alcohol problems scale was 58.5 (SD 14.24) for males and 49.4 (SD 8.51) for females. Average t-score on the drug problems scale was 55.0 (SD 12.16) for males and 60.4 (SD 18.00) for females. These scores are not considered meaningfully high. | Moderate |
| Kluttig, 2009 [ | -- | Reichenau, Germany | N/A | Case study of an Algerian asylum seeker seeking mental health services. | -- | Participant experienced cocaine and heroin use and dependence after his claim for asylum was rejected. He was treated using methadone and psychotherapy. | Low |
| Kozaric-Kovacic, 2000 [ | -- | Zagreb, Croatia | 368 IDP camp residents from Vukovar, Slunj, and Lika regions of Croatia. 43% male. | Cross-sectional study. Random sample from camp register. Structured clinical interview. Alcohol dependence based on DSM-III-R criteria and CAGE questionnaire. | Mean time since experiencing war trauma: 30 months (SD 2.4) | 61% of men and 8% of women met criteria for alcohol dependence. High prevalence of alcohol and PTSD comorbidity, particularly among men. | Moderate |
| Kroll, 2010 [ | 2001–2009 | Minneapolis, USA | Cases: 600 Somali refugees. 47% male, 47% of males and 23% of females aged 30 or younger. Controls: 3009 non-Somali patients. | Case-control study. Patients from mental health clinic. Routine clinical data using DSM-IV-R criteria. Drug use reported on only for Somali men under age 30. | -- | 44% reported drug use, predominantly khat and marijuana. No association found between drug use and psychosis. | Moderate |
| Marshall, 2005 [ | 2003–2005 | Long Beach, USA | See D’Amico, 2007 (above) | See D’Amico, 2007 (above) | See D’Amico, 2007 (above) | In MLR, year of immigration and post-migration trauma count were significantly associated with alcohol use disorder. | High |
| Martin, 1993 [ | 1991 | Oakland,USA | 8 Mien refugees from Laos who used opium. 25% male, ages 39–64. | Case series (mental health treatment setting). | 6 years | Counselling and group support treatments were provided at a mental health facility. After 12 months, two patients had ceased opium use. Reasons for dropping out of treatment included family and cultural pressures | Low |
| McLeod, 2005 [ | 1995–1999 | New Zealand | 2992 newly-arrived refugees. 53% male, Most common nationalities: Iraq, Ethiopia, Somalia, Vietnam, Iran, Sudan, and Afghanistan. | Cross-sectional study. Routinely collected data from health screenings of all resettled refugees. Measured ‘drinking alcohol’, no definition provided. | At time of entry into New Zealand | 4.5% drank alcohol (7.3% of males, 1.1% of females). | Low |
| Miremadi, 2011 [ | 2008–2009 | Vancouver, Canada | 68 Iraqi, Iranian, and Afghani refugees. 47% male, mean age 34.1 (SD 12.8) | Cross-sectional study. All newly-arriving refugees attending a government-sponsored intake facility invited to participate. Interviewer-administered surveys, including AUDIT (score ≥6 for women and ≥8 for men indicating hazardous alcohol use) and DUDIT. | Mean time since arrival in Canada: 7.4 days (SD 2.8) | 16% of males but no females reported hazardous alcohol use. No participants recorded illicit drug use on the DUDIT. | Moderate |
| Mukeshimana, 2001 [ | 1999 | Waterloo, USA | 557 Bosnian refugees. | Cross-sectional study using routinely collected medical records. | -- | 20% reported drinking alcohol, of whom none reported binge drinking. | Low |
| Palic, 2014 [ | 2010–2011 | Denmark | 116 Bosnian refugees. 47% male, mean age 46.5 (SD 8.1) | Cross-sectional study. Recruitment from mental health settings. Patients with severe alcohol or drug addiction excluded. Used MCMI-III which reflects DSM-IV criteria to diagnose probable alcohol and drug dependence. | Mean time in Denmark: 16.1 years | 10% of participants met criteria for probable alcohol dependence and 1% for probable drug dependence. | Moderate |
| Pfortmueller, 2013 [ | 2000–2012 | Bern, Switzerland | 3170 refugees and asylum seekers. 76% male, median age 28 (range 16–82), 49% from Africa, 24% from Middle East. | Cross-sectional study using routinely collected data from emergency department presentations. | -- | 7% prevalence of addiction disorder (not further specified). | Low |
| Portes, 1992 [ | 1986–1987 | Miami, USA | 952 Mariel Cuban and Haitian refugees. | Cross-sectional study. Stratified random sampling of households. Alcohol abuse/dependence measured using DSM-III criteria. | -- | Prevalence of alcohol abuse/dependence 6% among Mariel Cubans and 1% among Haitians. | Moderate |
| Posselt, 2015 [ | 2013–2014 | Adelaide, Australia | 15 young refugees aged and 15 service providers working with refugee young people. 40% male, mean age 17.7 (range 12–25) Participants from Bhutan, Afghanistan and Africa. | Qualitative study using semi-structured interviews. Purposive and snowball sampling. | Mean time since migration: 4.9 years | Factors associated with mental health and substance use comorbidity included pre-migration experiences of trauma and loss, intergenerational conflict, familial separation, post-migration language and acculturation challenges, exposure to and availability of substances, maladaptive coping strategies and limited access to drug and alcohol information and services. | Moderate |
| Power, 2012 [ | -- | Minnesota, USA | 40 Burmese (Karen) refugees | Qualitative study using focus groups and in-depth interviews | -- | Drinking alcohol regularly described as an important part of social life in their community. Drinking generally reduced following migration due to cost of alcohol. | Moderate |
| Sabes-Figuera, 2012 [ | 2005–2006 | United Kingdom, Italy, Germany | 854 refugees from former Yugoslavia. 49% male. (Comparison sample: 3313 war-affected residents in 5 Balkan countries). | Cross-sectional study. In the UK, participants were recruited through community organisations and snowballing. In Italy and Germany, participants were identified from resident registers and snowballing. Interviewer-administered questionnaires, including MINI. | -- | 4% met criteria for substance use disorder. | Moderate |
| Salas-Wright, 2014 [ | 2004–2005 | USA | 428 refugees. 60% male. (Comparison samples: 4955 non-refugee immigrants and 29267 native-born Americans). | Cross-sectional study. Multistage cluster sampling, with oversampling of minority populations. Lifetime substance use disorders (alcohol, cannabis, cocaine, hallucinogens, amphetamines, opioids/heroin) collected using AUDASIS-IV. | -- | Refugees were significantly less likely than native-born Americans to meet criteria for all substance use disorders, and significantly less likely than non-refugee immigrants to meet criteria for alcohol, cocaine, hallucinogen and opioid/heroin disorder. | High |
| Sandberg, 2008 [ | 2005–2006 | Oslo, Norway | 20 Cannabis dealers including some newly-arrived refugees. | Qualitative study using semi-structured interviews. | -- | Cannabis dealing among newly-arrived refugees as a response to limited cultural capital, particularly lack of language skills and work and education opportunities. | Moderate |
| Steel, 2005 [ | 1999–2000 | New South Wales, Australia | 1161 Vietnamese refugees. 50% male. (Comparison sample: 7961 Australian-born) | Cross-sectional study. Cluster random sampling using census. Interviewer-administered surveys, with alcohol and drug use disorders collected using CIDI (DSM-IV diagnoses). | Mean time in Australia: 11.2 years (SD 5.9) | 2% of males and 0% of females met criteria for alcohol use disorder. 0.8% of males and 0.2% of females met criteria for drug use disorders. | Moderate |
| Sundquist, 2004 [ | 1997–1999 | Sweden | 261,634 adult immigrants (age 25–64) born in refugee source countries. (Comparison sample: 4.2 million Swedish-born and non-refugee immigrants aged 25–64). | Cohort study. Population study using hospital admissions data. Alcohol abuse and drug abuse presentations identified using ICD classifications. | -- | Age-adjusted hospital admission rates for alcohol abuse were 54.0 per 100,000 person-years for men and 35.7 per 100,000 person-years for women. Age-adjusted hospital admission rates for drug abuse were 67.8 per 100,000 person-years for men and 41.1 per 100,000 person-years for women. Among women, refugees were significantly less likely to report both alcohol and drug abuse compared with Swedish-born. Among men, refugees were significantly less likely to report alcohol abuse but significantly more likely to report drug abuse compared with Swedish-born. | Moderate |
| Welbel, 2013 [ | 2007–2010 | 180 services providing mental healthcare and support in deprived areas of: Vienna, Austria; Brussels, Belgium; Prague, Czech Republic; Paris, France; Berlin, Germany; Budapest, Hungary; Dublin, Ireland; Amsterdam, the Netherlands; Warsaw, Poland; Lisbon, Portugal; Madrid, Spain; Stockholm, Sweden; and London, England. | N/A | Cross-sectional study. Service managers completed a questionnaire-based assessment of service characteristics | N/A | Of 180 services providing substance abuse treatment, 10% provided specific programmes or services for refugee and/or asylum seeker populations. | Moderate |
| Westermeyer, 1989 [ | 1985–1988 | Minnesota, USA | 55 opioid-dependent Hmong refugees from Laos. 69% male. | Cross-sectional study. Consecutive patients recruited from a substance abuse treatment program. | -- | 27% used alcohol occasionally. No participants reported lifetime use of amphetamine, cannabis, cocaine, hallucinogens, inhalants, PCP or sedatives. | Low |
| Westermeyer, 1996 [ | -- | Minnesota, USA | 57 Hmong refugees from Laos who were daily opioid users. 70% male, mean age 45.3 (SD 12.5) (Comparison sample: 80 American-born opioid (heroin) users) | Cross-sectional study. Consecutive patients recruited from a substance abuse treatment program. | -- | Refugee participants commenced opioid use at a later age than American-born participants. A greater proportion of Americans had used self-help methods to reduce opiate-related problems, and significantly more had entered drug treatment. | Moderate |
| Yee, 1987 [ | -- | Houston, USA | 840 Vietnamese refugees. 59% male, age range 18–93. | Cross-sectional study. Convenience sample from refugee service providers, multicultural organisations and telephone listings. Interviewer-administered questionnaire asking participants whether they had trouble with alcohol and taking drugs. | -- | 14% reported having trouble with drugs sometimes. 40% reported using alcohol to cope with sorrows or problems and 12% used drugs to cope with sorrows or problems. | Low |
-- = Not reported; AUDIT = Alcohol Use Disorders Identification Test; CIDI = Composite International Diagnostic Interview DSM = Diagnostic and Statistical Manual of Mental Disorders; DUDIT: Drug Use Disorders Identification Test; ICD = International Classification of Diseases; IDP = Internally Displaced Persons; IQR = Interquartile Range: MINI = Mini-International Neuropsychiatric Interview; MLR = Multivariable Logistic Regression; N/A = Not Applicable; PTSD = Post-traumatic Stress Disorder; SD = Standard Deviation; UNHCR = United Nations High Commission for Refugees
Characteristics and key findings of studies of people displaced by natural disasters (N = 4).
| Reference | Year conducted | Location | Sample | Study design, methods and measures | Observation point | Main findings | Quality assessment |
|---|---|---|---|---|---|---|---|
| Cepeda, 2010 [ | 2006–2007 | Houston, USA | 200 Hurricane Katrina evacuees living in Houston, who reported substance use six months prior to and/or post-Katrina, and/or being in drug treatment six months prior to Katrina. Age 18–65, 60% male, 98% African-American, 63% did not leave New Orleans before the hurricane. | Mixed methods study including interviewer-administered survey and in-depth interviews. Housing complexes drawn at random from a list of developments in two areas known to house large numbers of Katrina-evacuees. | 12–24 months post-disaster | Increases in substance use reported following the disaster (29% reported increased alcohol use, 34% Marijuana, 12% Ecstasy). High incidence of ecstasy use linked to drug popularity in Houston. In MLR, leaving the city prior to the hurricane significantly associated with increased alcohol/tobacco use and increased illicit drug use. Participants who decreased drug use attributed this to displacement from drug markets and decreased access to drugs. | Moderate |
| Dunlap, 2009 [ | -- | Houston, USA | 107 Hurricane Katrina evacuees aged ≥18 living in Houston, with a history of drug use and/or drug dealing. | Qualitative study including ethnographic observations, in-depth interviews and focus groups. Recruited through street outreach and peer-driven methods. | -- | Three main factors identified which facilitated access to Houston drug market: connections with drug users/dealers; knowledge of how to locate drugs (e.g. local language); skills in navigating social scenes. Some reports of decreased drug use following displacement. | Moderate |
| Larrance, 2007 [ | 2006 | Louisiana, USA & Mississippi, USA | 366 residents from Louisiana, Mississippi and Alabama displaced after the 2005 Gulf Coast hurricane season. 65% of Louisiana respondents and 38% of Mississippi respondents were black suburban area. | Cross-sectional study. Systematic random sampling of households from Federal Emergency Management Agency trailer parks. Single household member completed an interviewer-administered questionnaire capturing information about the entire household. | Mean displacement: 246 days (SD 37.7) | 14% reported they increased use and 9% reported their partner had increased use of alcohol and drugs since the hurricane. 25% reported children newly exposed to drugs and alcohol since displacement. Post-disaster substance use associated with a three-fold risk of major depressive disorder. | Moderate |
| Timpson, 2009 [ | 2005 | Houston, USA | 54 African-American Hurricane Katrina evacuees who were current crack cocaine users, living in Houston. 70% male, 85% unemployed, 25% intending to return to New Orleans. (Comparison sample: 162 African-American crack cocaine users who resided in Houston prior to the hurricane, interviewed 2002–2005) | Mixed methods study including brief quantitative survey and in-depth interviews (n = 7 displacees, n = 44 Houston residents). Street outreach and peer-driven methods. | Mean: 1.5 months | New Orleans participants were significantly more likely to use methamphetamine, marijuana and to inject drugs than Houston participants, but significantly less likely to smoke crack cocaine more than once per day. Crack cocaine reported to be available in evacuation centres and housing complexes post-displacement, and used as a coping strategy to deal with psychological effects of trauma resulting from the hurricane and subsequent displacement. Some reports of decreased drug use following displacement, with displacement seen as a ‘fresh start’. | Moderate |
-- = Not reported; MLR = Multivariable logistic regression; SD = Standard deviation
Characteristics and key findings of studies of deportees (N = 4).
| Reference | Year conducted | Location | Sample | Study design, methods and measures | Observation point | Main findings | Quality assessment |
|---|---|---|---|---|---|---|---|
| Brouwer, 2009 [ | 2005 | Tijuana, Mexico | 34 deportees who injected illicit drugs within the past month. (Comparison sample: 185 people who injected illicit drugs within the past month.) | Cross-sectional study. Respondent-driven sampling. Interviewer-administered survey. | Median time lived in Tijuana: 2 years (IQR 1–5) | Compared with other PWID, deportees were significantly more likely to injecting multiple times per day, to have ever chased heroin, and to have ever sniffed heroin, and significantly less likely to have ever smoked/inhaled methamphetamine and to have done so in the past six months. Deportees were also significantly less likely to have ever received drug treatment. | Moderate |
| Ojeda, 2011 [ | 2008 | Tijuana, Mexico | 24 male PWID with a history of deportation from the US. Mean age 36.9 years (SD 7.3). Men had lived in two US cities and experienced five deportations on average. Over half planned to return to the US. | Qualitative study. In-depth semi-structured qualitative interviews. Participants recruited from ongoing PWID cohort study, which recruited participants using respondent-driven sampling. | Mean time since most recent deportation: 7.3 years (SD 4.5) | All deportees had used illicit drugs in the US, and around half injected drugs in the US. Drug use behaviours or involvement in the drug economy contributed to deportations. Some transition to injecting by non-injectors and injection of new drugs by previous injectors post-deportation, including heroin and methamphetamine. Post-deportation drug use linked to stressors (e.g. lack of income, social networks), coping with emotional consequences of deportation (e.g. shame, loneliness), and widespread availability and low cost of drugs. | Moderate |
| Robertson, 2012(a) [ | 2008 | Tijuana, Mexico | 12 female US deportees with history of injecting drug use. Median age was 37.5 years (IQR: 32–41). Half the sample reported sex work as their primary source of income. | See Ojeda, 2011 (above) | Median: 5 years (IQR 3–10) | Deportation preceded by drug use in the US and engagement with the criminal justice system. Locating drugs was a major concern for many women immediately after deportation, with some women exchanging sex for drugs. The 4 women who rarely or never injected drugs in the USA began injecting regularly following deportation. Women described beginning to inject because of drug dependence, lack of self-control, and the influence of their social networks and neighborhoods. Although nearly all participants described wanting to "get clean" few had attended drug treatment programs in Tijuana, with financial access identified as a major barrier to treatment. | Moderate |
| Robertson, 2012(b) [ | 2010 | Tijuana, Mexico | 328 male PWID (past-month) who reported US deportation as their primary reason for moving to Tijuana. Mean age 39.3 years (SD 7.6), 74% born outside Tijuana, mean 13.7 years total US residence (SD 6.6). | Cross-sectional study. Recruited from ongoing PWID cohort study, which recruited participants using respondent-driven sampling. Interviewer-administered questionnaire. | -- | 16% tried new drugs post-deportation, most commonly heroin. In MLR, factors associated with new drug use post-deportation were ever being incarcerated in the US, greater number of lifetime deportations, feeling sad following most recent deportation and perceiving that one’s current lifestyle increases HIV/AIDS risk. | High |
-- = Not reported; IQR = Interquartile range; PWID = person/people who inject drugs
Fig 2Prevalence of hazardous/harmful alcohol use among forced migrant populations, in studies using validated measures (6 studies, 8 findings).
Fig 3Prevalence of alcohol dependence/use disorder among forced migrant populations, among studies using validated measures (12 studies,13 findings).
Fig 4Prevalence of drug dependence/drug use disorder among forced migrant populations, among studies using validated measures (6 studies, 6 findings).
Findings from seven studies presenting analyses comparing alcohol or substance use outcomes between forced migrants and a non-forced migrant sample.
| Reference & Setting | Forced migrant sample | Comparison sample | Outcome/s | Test | Results |
|---|---|---|---|---|---|
| Beckwith, 2009, USA [ | HIV+ refugees | HIV+ non-refugees | Alcohol use; Injecting drug use | McNemar test | Refugees significantly less likely to report alcohol use compared with non-refugees: OR 0.18, 95% CI 0.06–0.52, p<0.001. Refugees significantly less likely to report engaging in IDU compared with non-refugees: OR 0.12, 95% CI 0.003–1.0, p = 0.03 |
| Brouwer, 2009, Mexico [ | Deportees who inject illicit drugs | Non-deportees who inject drugs | Ever chased heroin; Ever snorted/sniffed heroin; Ever smoked/inhaled methamphetamine; Smoked/inhaled methamphetamine in past 6 months; Injecting multiple times per day | Bivariate logistic regression | Deportees’ drug use behaviours differed from non-deportees, with increased odds of having ever chased heroin (OR 2.55, 95% CI 0.97–6.72, p = 0.05), ever snorted/sniffed heroin (OR 2.40, 95% CI 1.10–5.22, p<0.01), and increased odds of injecting multiple times per day (OR 5.52, 95% CI 1.62–18.8, p<0.01). Deportees had decreased odds of ever smoking/inhaling methamphetamine (OR 0.39, 95% CI 0.17–0.86, p<0.05), past 6-month methamphetamine smoking/inhalation (OR 0.38, 95% CI 0.17–0.84, p<0.05) and ever receiving drug treatment (OR 0.41, 95% CI 0.19–0.89, p<0.05) |
| Fu, 2010, USA [ | Refugees | Vietnamese returnees; Vietnamese who never left Vietnam | Binge drinking (five or more shots per day) | Multivariable logistic regression, adjusted for age, marital status and occupation (analysis on males only) | No statistically significant difference in binge drinking between refugees, returnees and non-leavers: OR 0.95 for never-leavers, OR 1.15 for returnees, p>0.05 (refugees as reference group, no 95% CIs reported) |
| Puertas, 2006, Colombia [ | Adult IDPs | Non-IDP urban slum residents | Excessive consumption of alcohol in past 30 days | Multivariable logistic regression, adjusted for age, sex and duration of residence in neighbourhood | No statistically significant difference in excessive alcohol consumption between IDPs and non-IDPS: OR 0.60, 95% CI 0.34–1.08, p = 0.09 |
| Salas-Wright, 2014, USA [ | Refugees | Native-born Americans; Non-refugee immigrants | Alcohol use disorder; Cannabis use disorder; Cocaine use disorder; Hallucinogen use disorder; Amphetamine use disorder; Heroin/opioid use disorder | Multivariable logistic regression, adjusted for age, gender, race/ethnicity, household income, education level, marital status, region of the US, urbanicity, parental antosociality and substance use history, lifetime major depressive disorder and lifetime posttraumatic stress disorder | Compared with native-born Americans, refugees were significantly less likely to report all substance use disorders: Alcohol: AOR 0.16, 95% CI 0.15–0.17, p<0.001; Cannabis: AOR 0.29, 95% CI 0.26–0.32, p<0.001; Cocaine: AOR 0.15, 95% CI 0.14–0.17, p<0.001; Hallucinogen: AOR 0.25, 95% CI 0.23–0.28, p<0.001; Amphetamine: AOR 0.20, 95% CI 0.18–0.22, p<0.001; Heroin/opioids: AOR 0.21, 95% CI 0.19–0.24, p<0.001; Compared with non-refugee immigrants, refugees were significantly less likely to report all substance use disorders, with the exceptions of cannabis and amphetamines, for which there were no statistically significant differences: Alcohol: AOR 0.44, 95% CI 0.41–0.47, p<0.001; Cannabis: AOR 1.10, 95% CI 0.93.-1.31; Cocaine: AOR 0.54, 95% CI 0.50–0.59, p<0.001; Hallucinogen: AOR 0.66, 95% CI 0.58–0.74, p<0.001; Amphetamine: AOR 0.87, 95% CI 0.74–1.03; Heroin/opioids: AOR 0.62, 95% CI 0.58–0.66, p<0.001. |
| Sundquist, 2004, Sweden [ | Adult refugees | Native-born Swedes | Hospital admission rates for alcohol abuse; Hospital admission rates for drug abuse | Multivariable Cox regression, stratified by gender and adjusted for age, marital status, education and urbanisation | For both men and women, refugees were significantly less likely to experience an alcohol-related hospital admission compared with native-born Swedes: Women: HR 0.50, 95% CI 0.41–0.60; Men: HR 0.40, 95% CI 0.35–0.46. Among women, refugees were significantly less likely to experience a drug-related hospital admission compared with native-born Swedes: HR 0.79, 95% CI 0.68–0.96. Among men, refugees were significantly more likely to experience a drug-related hospital admission compared with native-born Swedes: HR 1.31, 95% CI 0.1.16–1.47 |
| Zafar, 2009 [ | Afghan refugee drug users | Pakistani drug users | Opiate as first drug injected; Currently injects drugs | Multivariable logistic regression, adjusted for education, homelessness, unemployment and income | There were no statistically significant differences between refugee and non-refugee drug users in opiates as first illicit drug used (AOR 1.97, 95% CI 0.97–2.44) or current injecting drug use(AOR 0.66, 95% CI 0.18–2.44) |
Excludes nine studies which included a comparison sample but did not conduct statistical analysis comparing groups. AOR = Adjusted Odds Ratio; CI = Confidence Interval; HR = Hazard Ratio; OR = Odds Ratio
Findings from seven studies presenting analyses of correlates of alcohol use outcomes.
| Reference & Setting | Forced migrant sample | Outcome | Test | Results |
|---|---|---|---|---|
| Cepeda, 2010, USA [ | Disaster displacees who use crack cocaine | Increase in alcohol/tobacco use post-disaster | Multivariable logistic regression | Increased alcohol/tobacco use post-disaster was significantly associated with male sex (AOR 0.47, 95% CI 0.25–0.86, p = 0.02), age 29–58 compared with age 18–28 (AOR 0.49, 95% CI 0.27–0.89, 0.02) and being a high school graduate compared with less than high school education (AOR 2.10, 95% CI 1.14–3.87, p = 0.02) |
| D’Amico, 2007 | Cambodian refugees | Any drinking past 30 days | Multivariable logistic regression | Factors associated with reduced odds of drinking in the past 30 days were older age (AOR 0.65, 95% CI 0.52–0.81, p<0.001) and female sex (AOR 0.19, 95% CI 0.11–0.33, p<0.001) |
| Luitel, 2013, Nepal [ | Bhutanese refugees | Hazardous/harmful drinking (AUDIT ≥8) | Multivariable logistic regression (among current drinkers) | Factors associated with increased odds of hazardous/harmful drinking were male sex (AOR 2.81, 95% CI 1.71–4.64, p<0.001), history of alcohol use in the family (AOR 1.55, 95% CI 1.07–2.25, p<0.05), smoking/tobacco use (AOR 2.10, 95% CI 1.35–3.27, p<0.01), substance use (AOR 10.77, 95% CI 3.90–29.75, p<0.001) and residence in Timai camp (AOR 1.55, 95% CI 1.07–2.25, p<0.05). Intermediate or higher education compared with being illiterate was associated with reduced odds of hazardous/harmful drinking (AOR 0.35, 95% CI 0.16–0.75, p = 0.01). |
| Marshall, 2005 | Cambodian refugees | Probable alcohol use disorder (AUDIT ≥7 for women, ≥8 for men) | Multivariable logistic regression, adjusted for sex and pre-migration trauma count | Age was associated with reduced odds of alcohol use disorder (AOR 0.60 per decade increase, 95% CI 0.41–0.89). Increased odds of alcohol use disorder was associated with year of immigration (AOR 6.15, 95% CI 1.14–33.30) and higher post-migration trauma count (AOR 1.99, 95% CI 1.23–3.23) |
| McLeod, 2005, New Zealand [ | Newly-arrived refugees | Current alcohol use | Relative risk | Male sex was significantly associated with increased risk of drinking alcohol (RR 6.87, 95% CI 3.15–14.95, p<0.001) |
| Roberts, 2011, Uganda [ | IDPs | Alcohol use disorder (AUDIT ≥8) | Multivariable logistic regression, adjusted for trauma types | Factors associated with alcohol use disorder were male sex (AOR 7.21, 95% CI 4.79–10.86, p<0.001), older age (reference: 18–29; 30–39 AOR 2.32, 95% CI 1.57–3.44, p<0.001; 40–49 AOR 2.94, 95% CI 1.74–4.98, p<0.001; ≥50 AOR 4.14, 95% CI 2.62–6.52, p<0.001), and cumulative trauma exposure (reference 0–3 events; 4–7 events AOR 1.98, 95% CI 1.01–3.88, p = 0.05; 8–11 events AOR 2.00, 95% CI 1.01–3.97, p = 0.05; 12–16 events AOR 2.11, 95% CI 1.02–4.38, p = 0.04). |
| Roberts, 2014, Georgia [ | IDPs and IDP-returnees | Hazardous drinking (AUDIT ≥8; current drinking men only); Episodic heavy drinking (current drinking men only) | Multivariable logistic regression; Generalised estimating equations, adjusted for age and education | Hazardous drinking was significantly associated with age ≥65 (AOR 0.16, 95% CI 0.05–0.50, p<0.001), having experienced serious injury (AOR 2.36, 95% CI 1.38–4.05, p<0.001), cumulative trauma exposure (reference no events, 2 events AOR 2.63, 95% CI 1.17–5.92, p = 0.02; 3 events AOR 1.07, 95% CI 1.07–6.67, p = 0.04; ≥4 events AOR 2.73, 95% CI 1.22–6.09, p = 0.01), and symptoms of depression (AOR 2.65, 95% CI 1.22–5.76, p = 0.01). Episodic heavy drinking was associated with being aged 30–39 and 40–49 (AOR 2.60, 95% CI 1.21–5.57, p = 0.01; AOR 2.34, 95% CI 1.12–4.85, p = 0.02) and having experienced serious injury (AOR 1.66, 95% CI 1.00–2.75, p = 0.05). In GEE, alcogenic factor (derived from density of alcohol outlets, alcohol advertising, alcohol availability and alcohol price) was significantly associated with episodic heavy drinking (AOR 1.27, 95% CI 1.01–1.59, p = 0.04) |
*Same dataset, different outcomes analysed
AOR = Adjusted Odds Ratio; AUDIT = Alcohol Use Disorders Identification Test; CI = Confidence Interval; OR = Odds Ratio; RR = Relative Risk
Findings from two studies presenting correlates of drug use outcomes.
| Reference & Setting | Forced migrant sample | Outcome | Test | Results |
|---|---|---|---|---|
| Cepeda, 2010, USA [ | Disaster displaces who use crack cocaine | Increased illicit drug use post-disaster | Multivariable logistic regression | Increased illicit drug use post-disaster was significantly associated with leaving the city before Hurricane Katrina (AOR 1.83, 95% CI 1.01–3.32, p = 0.05) and high resource loss (AOR 1.99, 95% CI 1.11–3.55, p = 0.02) |
| Robertson, 2012(b), Mexico [ | Deportees who inject illicit drugs | Used new drugs following most recent deportation | RDS-adjusted multivariable logistic regression | Factors independently associated with using new drugs following most recent deportation were ever being incarcerated in the US (AOR 3.96, 95% CI 1.78–8.84), increasing total number of lifetime deportations (AOR per one unit increase 1.11, 95% CI 1.03–1.20), felt sad/depressed post-deportation (AOR 2.69, 95% CI 1.41–5.14) and perceiving that one’s current lifestyle increases risk for HIV (AOR 3.91, 95% CI 2.05–7.44) |