Literature DB >> 25322880

Mental disorders and their association with disability among internally displaced persons and returnees in Georgia.

Nino Makhashvili1, Ivdity Chikovani, Martin McKee, Jonathan Bisson, Vikram Patel, Bayard Roberts.   

Abstract

There remains limited evidence on comorbidity of mental disorders among conflict-affected civilians, particularly internally displaced persons (IDPs) and former IDPs who have returned to their home areas (returnees). The study aim was to compare patterns of mental disorders and their influence on disability between IDPs and returnees in the Republic of Georgia. A cross-sectional household survey was conducted with adult IDPs from the conflicts in the 1990s, the 2008 conflict, and returnees. Posttraumatic stress disorder (PTSD), depression, anxiety, and disability were measured using cut scores on Trauma Screening Questionnaire, Patient Health Questionnaire 9, Generalised Anxiety Disorder 7, and the WHO Disability Assessment Schedule 2.0. Among the 3,025 respondents, the probable prevalence of PTSD, depression, anxiety, and comorbidity (>1 condition) was 23.3%, 14.0%, 10.4%, 12.4%, respectively. Pearson correlation coefficients (p < .001) were .40 (PTSD with depression), .38 (PTSD with anxiety), and .52 (depression with anxiety). Characteristics associated with mental disorders in regression analyses included displacement (particularly longer-term), cumulative trauma exposure, female gender, older age, poor community conditions, and bad household economic situation; coefficients ranged from 1.50 to 3.79. PTSD, depression, anxiety, and comorbidity were associated with increases in disability of 6.4%, 9.7%, 6.3%, and 15.9%, respectively. A high burden of psychiatric symptoms and disability persist among conflict-affected persons in Georgia.
Copyright © 2014 International Society for Traumatic Stress Studies.

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Mesh:

Year:  2014        PMID: 25322880      PMCID: PMC4496794          DOI: 10.1002/jts.21949

Source DB:  PubMed          Journal:  J Trauma Stress        ISSN: 0894-9867


It is well recognised that populations affected by armed conflict are frequently exposed to traumatic events and daily stressors and at risk of elevated levels of mental health disorders (Miller & Rasmussen, 2010; Steel et al., 2009). Studies suggest that levels of posttraumatic stress disorder (PTSD) recede over time (Steel et al., 2009), but the evidence remains sparse—particularly for refugees and IDPs who have returned to their home areas. There is also limited evidence on comorbidity between mental disorders among conflict-affected populations in low- and middle-income countries, despite evidence from other settings showing high levels of comorbidity between PTSD, depression, and anxiety (Ayazi, Lien, Eide, Ruom, & Hauff, 2012; O'Donnell, Creamer, & Pattison, 2004). Moreover, there is a need for more evidence on the impact of the mental disorders on broader emotional, social, and economic functioning of persons affected by armed conflict (Blanchet & Roberts, 2013). The Republic of Georgia has experienced two main phases of conflict in recent years, each involving secessionist movements. The first was in the early 1990s, in the regions of Abkhazia and South Ossetia, with fighting leading to the forced displacement of approximately 300,000 people, of whom approximately 200,000 remain as IDPs. The second was in August 2008, when conflict broke out between Georgia and the Russian Federation over South Ossetia, leading to at least 128,000 ethnic Georgians being displaced as IDPs, of whom up to 100,000 have now returned to their home areas in the border region with South Ossetia (returnees; Internal Displacement Monitoring Centre, 2012). The majority of current IDPs live in government-established IDP settlements/villages; some remain in makeshift settlements in former hotels, schools, factories, and hospitals (particularly those displaced from the 1990s conflicts). Governmental, nongovernmental, and United Nations agencies have provided social assistance to IDPs. Their communities, however, are characterised by poor living conditions, high unemployment, poverty, limited integration with local communities, and low access to health care (WHO/Children of Georgia, 2009). Many of the former IDPs from the 2008 conflict who have returned to their home villages (returnees) in the border region with South Ossetia also experience poor living conditions and greater vulnerability to future armed violence (United Nations Security Council, 2009). There is surprisingly little information on the mental health of these groups and its determinants. Although qualitative assessments have been conducted, only a single epidemiological study appears to have been conducted and this was limited to elderly (≥ 60 years) IDPs and did not examine levels of comorbidity or adjusted risk factors (Johns Hopkins Bloomberg School of Public Health/Institute for Policy Studies, 2012). The aim of this study was to compare patterns of mental disorders and their influence on disability between IDPs and returnees in the Republic of Georgia. The specific objectives were to examine (a) the presumed prevalence of the mental disorders of PTSD, depression, anxiety, and their comorbidity; (b) the influence of displacement status, time, trauma exposure, and demographic and socioeconomic characteristics on mental disorders; and (c) the influence of the mental disorders and their comorbidity on disability and how this varied by displacement status.

Method

Participants

The study used a cross-sectional survey design and multistage random sampling, with stratification by region and displacement status. A total sample size of 3,600 men and women aged ≥18 years was determined to meet the statistical requirements of the overall study. This consisted of 1,200 respondents from each of the three main conflict-affected populations in Georgia: those displaced as a result of conflicts in the 1990s (1990s IDPs), those displaced after the 2008 conflict (2008 IDPs), and former 2008 IDPs who have returned to their home areas after being displaced due to the 2008 conflict (returnees). Primary sampling units (n = 360; 120 per population group) were selected based on probability proportion to size method using a sampling frame of formal and informal IDP settlement population sizes throughout Georgia provided by the Ministry of Internally Displaced Persons, and lists of villages in the border region with South Ossetia provided by the governor's office in the Shida Kartli region. Within each primary sampling unit, the random walk method was used to randomly select households. Within the selected household one person was selected to be interviewed (based on nearest birthday). If there was no response at the household after three visits (on different days and at different times), the next household on the route was visited, with the same process used for refusals or interrupted interviews to ensure the desired sample size. For the purposes of this study, the overall sample (N = 3,600) was restricted to only 1990s IDPs or 2008 IDPs or 2008 returnees, with respondents who had been displaced from both the 1990s and 2008 conflicts excluded (n = 256) as well as those who reported that they had never been displaced (n = 319). The final sample size was therefore 3,025 with a response rate of 84.0%. The sample respondent characteristics, by displacement status, are shown in Table1. Overall, around two thirds of respondents were women, reflecting findings of studies of the general population in Georgia as many men have left to find employment elsewhere (Caucasus Research Resource Centers, 2010).
Table 1

Sample Characteristics by Group

1990s Displaced2008 DisplacedReturnees
n = 1,193
n = 996
n = 836
Variablen%n%n%
Sex
 Men41434.733133.227532.9
 Women77965.366566.856167.1
Age (years)
 18–3943836.743043.229134.8
 40–5941835.030030.132138.4
 60+33728.326626.722426.8
Marital status
 Married/cohabiting64053.671671.857168.3
 Single31926.714814.913215.8
 Widowed23419.713213.313315.9
Education status
 Higher education30125.220420.413015.6
 Secondary school80867.867167.463275.5
 Primary/some secondary847.012112.2748.9
Employment status
 Fully employed/self-employed19418.418721.111415.7
 Irregular paid work424.0354.040.6
 Farmer30.330.312717.5
 Unemployed39737.521924.714119.4
 Housewife12712.020322.913718.9
 Retired29427.823927.020227.9
Household economic status
 Very good40.330.330.4
 Good171.4252.5101.2
 Average53945.353353.633239.7
 Bad40634.034634.735642.5
 Very bad22719.0898.913516.2
Trauma exposure
 Lack of shelter53244.647147.330236.1
 Serious injury25121.013213.39811.7
 In combat situation58549.047647.829034.7
 Abducted231.9121.240.5
 Tortured231.9141.430.4
 Witnessed murder, violence against known other39633.217217.3566.7
 Witnessed murder, violence against stranger12710.7494.9131.6
 Death of known other during conflict/displacement48740.818518.610412.4
Number of events
 None25721.526126.231137.2
 126222.028228.327032.3
 222719.024124.218321.9
 3+44737.521221.3728.6

Note: N = 3,025.

Sample Characteristics by Group Note: N = 3,025.

Procedure

Data collection took place between October and December 2011. The questionnaires were administered by trained and experienced professional fieldworkers through face-to-face interviews in the respondents’ homes, with all interviews conducted in Georgian. All respondents provided informed consent prior to their inclusion in the study. Full respondent anonymity was assured. Exclusion criteria included people deemed under the influence of alcohol or drugs, and those with severe intellectual or mental impairment using predefined criteria related to understanding, expression, communication, and behaviour. Ethics approval was provided by the National Council on Bioethics in Georgia and the London School of Hygiene and Tropical Medicine.

Measures

PTSD was measured using the Trauma Screening Questionnaire (TSQ), which consists of 10 items on PTSD symptoms over the past 1 week, with 0 = No and 1 = Yes responses, which are summed to produce an overall score range of 0 to 10, with TSQ's cutoff of ≥ 6 used to indicate possible PTSD (Brewin et al., 2002). Depression was measured using the Patient Health Questionnaire (PHQ-9), which consists of nine questions on depression symptoms over the last 2 weeks, with responses of 0 = not at all, 1 = several days, 2 = more than half the days, and 3 = nearly every day, with item scores summed to produce a total score range of 0 to 27, with the PHQ-9's suggested cutoff of ≥ 10 used to indicate at least moderate depression (Kroenke, Spitzer, & Williams, 2001). Anxiety was measured using the Generalised Anxiety Disorder 7 (GAD-7) instrument, which consists of seven questions on anxiety symptoms over the last 2 weeks, with the same response options and scoring as the PHQ-9, which produces a total score range of 0 to 21, with the GAD-7's suggested cutoff of ≥ 10 used to indicate at least moderate anxiety (Spitzer, Kroenke, Williams, & Lowe, 2006). Functioning was assessed using the WHO Disability Assessment Schedule (WHODAS 2.0; 12-item version), which consists of 12 items on six activity domains for functional disability (cognition, mobility, self-care, getting along, life activities, participation) with a recall period of the previous 30 days, with response option scores ranging from 0 = none to 4 = severe, which are recoded to produce a general disability score that is converted from a score range of 0 to 36 to 0 to 100 (with higher scores representing higher levels of disability; Üstün, Chatterji et al., 2010; Üstün, Kostanjsek, Chatterji, & Rehm, 2010). Instrument translation used standard procedures involving (a) translation from English into Georgian using professional translators, with translations reviewed by Georgian mental health experts individually and then as a group for cultural relevance, content and concept consistency, clarity, and understanding; (b) a back-translation to check for accuracy, consistency, and equivalence, with adjustments made accordingly; and (c) piloting and field testing to refine the instruments further (Mollica, Massagli, & Silove, 2004; van Ommeren et al., 1999). In this study, the TSQ, PHQ-9, GAD-7, and WHODAS 2.0 showed good internal reliability, with Cronbach's α scores of .86, .86, .90, and .91, respectively. We also conducted a separate pilot survey of 110 randomly selected IDPs living in Tbilisi to assess the instruments’ test-retest reliability by administering the TSQ, PHQ-9, GAD-7, and WHODAS 2.0 to the same respondents 4 days apart, and the intraclass correlation results for them were .97, .98, .96, and .98, respectively (with scores above .80 indicating excellent agreement between the two periods; Bartko, 1966). The TSQ, PHQ-9, GAD-7, and WHODAS 2.0 also showed good validity. For example, for known groups validity, higher levels of exposure to traumatic events correlates with higher levels of disorders (see below); interinstrument correlations (see results of Pearson's test for correlation below); and construct validity, with the PHQ-9 and GAD-7 each showing a single eigenvalue of >1 indicating a single construct. The TSQ showed two eigenvalues >1 that related to the two constructs in the TSQ of reexperiencing and arousal (Brewin et al., 2002). The main survey questionnaire also contained items on exposure to a range of violent and traumatic events adapted from the Harvard Trauma Questionnaire, which was designed to measure experiences of violent and traumatic events among civilian populations in a range of cultural settings (Mollica et al., 1992), with items selected that were deemed most pertinent to the Georgian context (see Table1 for selected items). A history of displacement was recorded (current displacement status and when displaced). A range of demographic and socioeconomic characteristics were also recorded, including sex, age, education level, marital status, general living conditions, and conditions in the community (each with five response options ranging from very satisfactory to very unsatisfactory that were condensed into satisfactory/very satisfactory, neither satisfactory/not satisfactory, and unsatisfactory/very unsatisfactory to ensure sufficient statistical power for the statistical analysis), employment status, household assets, and household economic situation (with five response options ranging from very bad to very good that was condensed into very good/good/average versus bad/very bad to ensure sufficient statistical power for the statistical analysis).

Data Analysis

Descriptive analysis was conducted on the sample characteristics and the prevalence of the three mental health conditions, of having any of the three conditions (i.e., ≥1 condition), comorbidity of more than one condition, having all three conditions, and having a single condition with no comorbidity. Pearson's correlation coefficients among the three conditions were also calculated. Multivariate logistic regression analysis was then used to examine the association of displacement status and time, trauma exposure, and demographic and socioeconomic characteristics with outcomes of PTSD, depression and anxiety, any condition (i.e., ≥ 1 condition) and comorbidity (i.e., >1 condition). Exploratory bivariate analysis was initially conducted with the outcome of any condition and a stepwise approach used to select variables in the final model, which remained statistically significant (p < .05). The same variables were then used in separate models for PTSD, depression, anxiety, and comorbidity to examine any differences between the disorders. In this regression analysis, the data were weighted to reflect actual proportions of 1990s IDPs, 2008 IDPs, and returnees in the overall conflict-affected population of Georgia, based upon the sampling frames noted above. To examine the association of the sets of symptoms and their comorbidity on functional disability, separate regression models were run for each, and adjusted for displacement status, sex, age, and having a long-term illness, health problem, or disability, which evidence has shown are strongly related to disability (Üstün, Chatterji et al., 2010). The WHODAS 2.0 functional disability outcome is a continuous measure, with the β coefficient results representing equivalent changes in the WHODAS 2.0 scoring range of 0 to 100 following the instrument guidelines. The analyses adjusted for the cluster sampling design. All statistical analyses were performed using Stata 13.1 (StataCorp, 2013).

Results

The proportion of respondents for the combined sample (N = 3,025) with the presumed mental disorders and with comorbidity is shown in Figure 1. For this combined sample, the levels were 23.3%, 95% confidence interval (CI) [21.76, 24.80] for PTSD, 14.0%, 95% CI [12.76, 15.24] for depression, and 10.4%, 95% CI [9.39, 11.56] for anxiety. Nearly a third of the combined sample reported at least one condition, 29.44%, 95% CI [27.81, 31.06], and 12.4%, 95% CI [11.24, 13.61] reported more than one, and 5.4%, 95% CI [4.59, 6.21] were above the cut off for all three. When limited to only respondents who had any mental health problem above the cut off, this equated to 41.5%, 95% CI [38.23, 44.79] having a second, and 18.3%, 95% CI [15.76, 20.92] above the cut on all three. There were significant (p < .001) correlations between the three scores, with a Pearson correlation coefficient of .40 for PTSD with depression, .38 for PTSD with anxiety, and .52 for depression with anxiety. At between .30 and .60, these can be considered moderate levels of correlation (Hinkle, Jurs, & Wiersma, 1988).
Figure 1

Proportion of respondents with single disorders and with comorbidity (N = 3,025).

Proportion of respondents with single disorders and with comorbidity (N = 3,025). There were significantly higher mean scores (t tests, p < .001) for the 1990s IDPs compared with the 2008 IDPs and returnees for PTSD (3.53, 3.14, 2.49, respectively), depression (5.43, 3.62, 3.82, respectively), and anxiety (4.42, 3.56, 3.34, respectively). The only significant difference between the mean scores for 2008 IDPs and returnees was for PTSD (p < .001). When using the instrument cutoffs, there were significantly higher levels among 1990s IDPs than returnees for all three sets of symptoms, and also significantly higher levels of depression and comorbidity for 1990s IDPs than for the 2008 IDPs (Table2). Levels of comorbidity for all three conditions were also significantly higher among the 1990s IDPs, 7.3%, 95% CI [5.81, 8.77], than for the 2008 IDPs, 3.8%, 95% CI [2.62, 5.01], and the returnees, 2.6%, 95% CI [1.54, 3.72].
Table 2

Prevalence of Presumed Mental Disorders and Comorbidity by Population Group

1990s Internally
2008 Internally
displaced persons
displaced persons
Returnees
Variablen%95% CIn%95% CIn%95% CI
PTSD31727.1[23.5, 31.1]22622.9[18.9, 27.4]14017.0[13.8, 20.8]
Depression22318.7[15.5, 22.4]999.9[7.8, 12.6]607.2[5.3, 9.6]
Anxiety15513.0[10.4, 16.1]929.2[7.3, 11.7]556.6[4.3, 10.0]
Any condition41534.8[30.7, 39.1]28228.3[24.2, 32.9]17320.7[17.1, 24.8]
>1 more condition18716.0[13.3, 19.1]979.8[7.6, 12.6]597.2[5.1, 10.0]

Note: N = 3,025. PTSD = posttraumatic stress disorder.

Prevalence of Presumed Mental Disorders and Comorbidity by Population Group Note: N = 3,025. PTSD = posttraumatic stress disorder. The Pearson correlation coefficients (p < .001) for PTSD with depression, PTSD with anxiety, and depression with anxiety were slightly higher among the 1990s IDPs (.41, .39, .53, respectively) than the 2008 IDPs (.37, .30, .44, respectively) and returnees (.33, .35, .49, respectively). The characteristics associated with the three disorders and then their comorbidity are shown in Tables3 and 4, respectively. These highlight that being a returnee was associated with significantly lower rates above the cut score when compared with the reference population of 1990s IDPs, after adjusting for the influence of other factors, with the odds of being above from a one third lower probability for PTSD (odds ratio [OR] = 0.63), and around two thirds for depression (OR = 0.33), and around half for any one of the three (OR = 0.52). The 2008 IDPs were also associated with a significantly lower probability of depression (OR = 0.54) and having ≥1 condition (OR = 0.67) than 1990s IDPs. The same models were also run comparing returnees with a reference category of 2008 IDPs (i.e., excluding 1990s IDPs); these also showed a significantly lower probability among returnees compared to 2008 IDPs for PTSD (OR = 0.67), depression (OR = 0.61), anxiety (OR = 0.64), any condition (OR = 0.60), and ≥ one condition above the cut score (OR = 0.67).
Table 3

Regression Analyses of Characteristics Associated With Individual Presumed Mental Disorders

PTSD
Depression
Anxiety
Variablen%OR95% CIn%OR95% CIn%OR95% CI
Displacement status (all)a
 1990s31727.11.0022318.71.0015513.01.00
 200822622.91.00[0.80, 1.24]999.90.54[0.41, 0.71]**929.20.81[0.60, 1.09]
 Returnees14017.00.63[0.49, 0.81]**607.20.33[0.23, 0.45]**556.60.51[0.36, 0.73]**
Displacement status (2008 & returnees)a
 200822622.91.00999.91.00929.91.00
 Returnees14017.00.67[0.52, 0.87]*607.20.61[0.42, 0.88]*557.20.64[0.44, 0.93]*
Sex
 Men18818.71.0011611.41.00777.61.00
 Women50725.61.67[1.33, 2.09]**30815.41.50[1.13, 1.98]**24012.01.79[1.31, 2.46]**
Age (years)
 18–3913912.11.00776.61.00665.71.00
 40–5924624.11.80[1.37, 2.37]**15314.72.00[1.41, 2.85]**11310.91.56[1.07, 2.29]*
 60+30237.03.07[2.33, 4.04]**18922.92.89[2.02, 4.14]**13516.32.11[1.43, 3.10]**
Education
 Higher education10616.91.00639.91.00467.21.00
 Secondary school50224.11.52[1.14, 2.03]**29914.21.53[1.07, 2.19]*23010.91.54[1.04, 2.28]*
 Primary/some secondary9032.82.02[1.35, 3.03]**6523.42.68[1.63,4.42]**4415.62.15[1.24, 3.71]**
Trauma exposureb
 Lack of shelter38930.41.52[1.23, 1.89]**20815.915712.0
 Serious injury17437.01.66[1.28, 2.16]**11223.41.57[1.16, 2.13]**8818.31.71[1.24, 2.37]**
 Physical abuse3036.42328.52.16[1.10, 4.25]*2732.43.79[2.07, 6.92]**
 Witnessed murder, violence against stranger8846.92.12[1.44, 3.11]**5428.71.58[1.05, 2.40]*4021.41.62[1.03, 2.53]*
Number of eventsb
 None11113.51.00748.91.00566.71.00
 116420.31.57[1.15, 2.14]**9611.81.26[0.86, 1.85]647.81.09[0.71, 1.68]
 215323.91.80[1.31, 2.48]**9013.91.35[0.91, 2.00]7110.91.47[0.96, 2.26]
 3+25836.22.76[2.02, 3.77]**15821.61.65[1.14, 2.40]**12216.71.97[1.30, 2.97]**
Household economic status
 Good/very good20814.41.001027.01.00785.31.00
 Bad/very bad47330.71.88[1.50, 2.36]**31120.02.53[1.89, 3.38]**23214.92.41[1.74, 3.34]**
Community conditions
 Good/very good23119.61.0012510.51.001008.41.00
 Average21020.71.13[0.87,1.46]12712.41.35[0.98, 1.87]1019.91.30[0.91, 1.84]
 Bad/very bad24430.81.71[1.33, 2.20]**16320.21.89[1.39, 2.57]**11213.91.52[1.08, 2.14]*
Pseudo R2 = .25 p < .001Pseudo R2 = .25 p < .001Pseudo R2 = .21 p < .001

NoteN = 3,025. PTSD = posttraumatic stress disorder.

Separate multivariate regression models run for the two displacement groupings. Regression results for other independent variables based on the first model (1990s internally displaced persons, 2008 internally displaced persons, and returnees).

Separate multivariate regression models run for number of events and individual trauma events. Regression results for other independent variables based on number of events model. There were no significant differences (p < .05) for the results of the other independent variables between the two regression models. Referent category for trauma events was no exposure. Blank cells indicate where independent variables omitted after stepwise regression analysis.

p < .05.

p < .01.

Table 4

Regression Analyses of Characteristics Associated With Comorbidity

Any condition
More than 1 condition
Variablen%OR95% CIn%OR95% CI
Displacement (all groups)a
 1990s41534.81.0018716.01.00
 200828228.30.90[0.73, 1.10]979.80.67[0.50, 0.90]*
 Returnees17320.70.52[0.41, 0.66]**597.20.40[0.28, 0.57]**
Displacement (2008 & returnees)1
 2008 displaced28228.31.00979.81.00
 Returnees17320.70.60[0.47, 0.77]*597.20.67[0.46, 0.97]**
Sex
 Men25024.51.00898.91.00
 Women64132.01.63[1.33, 2.01]**28214.21.85[1.36, 2.51]**
Age (years)
 18–3920217.41.00524.61.00
 40–5933131.91.78[1.39, 2.27]**12912.72.42[1.62, 3.61]**
 60+34942.22.44[1.89, 3.16]**18422.64.23[2.83, 6.31]**
Education status
 Higher education13921.91.00518.21.00
 Secondary school64530.61.57[1.21, 2.04]**26712.81.62[1.11, 2.38]*
 Primary/some secondary11139.82.22[1.51, 3.27]**5520.02.34[1.37, 3.99]**
Trauma exposureb
 Lack of shelter46635.71.25[1.02, 1.52]*19014.8
 Serious injury22045.71.72[1.34, 2.20]**10321.91.83[1.33, 2.51]**
 Physical abuse4554.42.48[1.42, 4.31]**2327.82.71[1.37, 5.35]**
 Witnessed murder, violence against stranger10856.92.26[1.55, 3.29]**4725.1
Number of eventsb
 None15218.31.00587.11.00
 120431.31.41[1.06, 1.86]*8710.81.49[0.99, 2.24]
 232143.91.81[1.35, 2.41]**8112.61.58[1.03, 2.41]*
 3+27718.92.55[1.92, 3.37]**14019.61.97[1.31, 2.97]**
Household economic status
 Good/very good27718.91.00805.51.00
 Bad/very bad59838.42.05[1.67, 2.52]**28118.32.68[1.94, 3.68]**
Community conditions
 Good/very good29424.61.001059.01.00
 Average28127.41.26[0.99, 1.59]11611.41.46[1.03, 2.06]*
 Bad/very bad30437.81.70[1.35, 2.16]**14217.92.00[1.43, 2.78]**
Pseudo R2 = .25 p < .001Pseudo R2 = .29 p < .001

NoteN = 3,025.

Separate multivariate regression models run for the two displacement groupings. Regression results for other independent variables based on the first model (1990s internally displaced persons, 2008 internally displaced persons, and returnees)

Separate multivariate regression models run for number of events and individual trauma exposure. Regression results for other independent variables based on number of events model. There were no significant differences (p < .05) for the results of the other independent variables between the two regression models. Referent category for trauma events was no exposure. Blank cells indicate where independent variables omitted after stepwise regression analysis.

p < .05.

p < .01.

Regression Analyses of Characteristics Associated With Individual Presumed Mental Disorders NoteN = 3,025. PTSD = posttraumatic stress disorder. Separate multivariate regression models run for the two displacement groupings. Regression results for other independent variables based on the first model (1990s internally displaced persons, 2008 internally displaced persons, and returnees). Separate multivariate regression models run for number of events and individual trauma events. Regression results for other independent variables based on number of events model. There were no significant differences (p < .05) for the results of the other independent variables between the two regression models. Referent category for trauma events was no exposure. Blank cells indicate where independent variables omitted after stepwise regression analysis. p < .05. p < .01. Regression Analyses of Characteristics Associated With Comorbidity NoteN = 3,025. Separate multivariate regression models run for the two displacement groupings. Regression results for other independent variables based on the first model (1990s internally displaced persons, 2008 internally displaced persons, and returnees) Separate multivariate regression models run for number of events and individual trauma exposure. Regression results for other independent variables based on number of events model. There were no significant differences (p < .05) for the results of the other independent variables between the two regression models. Referent category for trauma events was no exposure. Blank cells indicate where independent variables omitted after stepwise regression analysis. p < .05. p < .01. There were a number of significant differences (p < .05) between the three population groups in exposure to traumatic events (Table1). These included a greater proportion of IDPs from both the 1990s and 2008 conflicts reporting having experienced a lack of shelter and being directly caught in a combat situation than the returnees. The 1990s IDPs reported significantly higher levels than 2008 IDPs and returnees of serious injury, witnessing the murder or violent acts against family/friends and strangers, and the death of family member/close friend during conflict/displacement. Trauma-exposure events involving lack of shelter, serious injury, physical abuse, and witnessing a murder or violent acts against a stranger were commonly associated with the disorders and their comorbidity, as were cumulative trauma events. Other significant characteristics associated with being above the cut on one or more included sex (women), older age, and bad/very bad household economic situation and community conditions (Tables3 and 4). The mean functional disability score for 1990s IDPs (14.61) was significantly higher (i.e., worse disability) than the 2008 IDPs (8.99) and returnees (9.37). The other characteristics associated with worse disability are provided in Table5. The mental disorders all showed significant associations with worse disability, with more than one disorder having the strongest association. Sex, older age, and having an existing disability/long-term illness were also all significantly associated with higher disability.
Table 5

Regression Analyses of Characteristics Associated With Outcome of Functional Disability by Displacement Status

Combined population
1990s Displaced
2008 Displaced
Returnees
VariableB95% CIB95% CIB95% CIB95% CI
Mental disorders
 PTSD6.38[6.03, 6.74]**7.57[6.99, 8.15]**5.21[4.61, 5.81]**6.19[5.54, 6.84]**
 Depression9.67[9.19, 10.15]**9.32[8.61, 10.03]**11.07[10.17, 11.97]**8.08[7.07, 9.08]**
 Anxiety6.25[5.72, 6.77]**6.68[5.87, 7.49]**5.84[4.94, 6.74]**4.36[3.29, 5.43]**
 Any condition10.57[10.25, 10.89]**12.42[11.89, 12.95]**9.73[9.18, 10.28]**8.04[7.46, 8.63]**
 > 1 condition15.91[15.46, 16.36]**17.12[16.44, 17.79]**14.62[13.78, 15.47]**13.76[12.86, 14.66]**
Sex
 Women2.29[2.01, 2.56]**3.43[2.95, 3.90]**.60[0.11, 1.09]*2.93[2.46, 3.40]**
Age (years)
 40–593.08[2.77, 3.40]**2.76[2.22, 3.31]**2.07[1.51, 2.63]**3.97[3.45, 4.49]**
 60+11.49[11.14, 11.83]**9.89[9.28, 10.49]**11.42[10.81, 12.03]**12.65[12.08, 13.23]**
Disability/long-term illness
Yes8.56[8.25, 8.88]**8.40[7.88, 8.91]**10.85[10.26, 11.45]**6.45[5.94, 6.96]**
Displacement status
 2008−3.13[−3.44, −2.82]**
 Returnees−2.62[−2.95, −2.29]**
Adj R2 = .36 p < .001Adj R2 = .36 p < .001Adj R2 = .36 p < .001Adj R2 = .29 p < .001

NoteN = 3,025. PTSD = posttraumatic stress disorder. Referent categories are no PTSD, no depression, no conditions (for any condition), no condition (for > 1 condition), men, age 18–39 years, no disability, 1990s displaced. Separate multivariate regression models used: (a) PTSD, depression and anxiety plus sex, age, and disability; (b) any condition plus sex, age, and disability; and (c) > 1 condition plus sex, age, and disability. The results for sex, age and disability/long-term illness and Adj R2 results shown in table are from Model a. Same process applied for each population group.

p < .05.

p < .01.

Regression Analyses of Characteristics Associated With Outcome of Functional Disability by Displacement Status NoteN = 3,025. PTSD = posttraumatic stress disorder. Referent categories are no PTSD, no depression, no conditions (for any condition), no condition (for > 1 condition), men, age 18–39 years, no disability, 1990s displaced. Separate multivariate regression models used: (a) PTSD, depression and anxiety plus sex, age, and disability; (b) any condition plus sex, age, and disability; and (c) > 1 condition plus sex, age, and disability. The results for sex, age and disability/long-term illness and Adj R2 results shown in table are from Model a. Same process applied for each population group. p < .05. p < .01.

Discussion

This study provides the first representative data on mental health of adult IDP populations in Georgia. We recorded levels of presumed PTSD, depression, and anxiety of 23.3%, 14.0%, and 10.4%, respectively, for the combined study sample. These are lower than the rates of depression (70%) and anxiety (73%) recorded in a previous study of elderly IDPs in Georgia (Johns Hopkins Bloomberg School of Public Health/Institute for Policy Studies, 2012), but older age was associated with mental disorders in our study. Levels of mental disorders reported among IDPs and refugees globally vary considerably, but estimated overall averages for PTSD and depression among conflict-affected civilian populations globally are around 30%; with the variances in prevalence between studies reflecting differences such as levels of exposure to traumatic events and daily stressors, time periods, population types, study sampling, instrument selection, and cutoffs (Porter & Haslam, 2005; Steel et al., 2009). This study also highlights a number of factors associated with the mental disorders, including sex, age, education status, trauma exposure (particularly cumulative exposure), and daily stressors such as low household income and poor community conditions; our findings reflect those from other studies of conflict-affected civilian populations (Miller & Rasmussen, 2010; Porter & Haslam, 2005; Steel et al., 2009). Our findings show the persistence of PTSD symptoms, particularly among 1990s IDPs. They also indicate significantly better mental health among returnees than the 1990s IDPs. The higher rates of mental disorders among the displaced are consistent with previous research examining the influence of forced displacement on mental health (Porter & Haslam, 2005; Steel et al., 2009). Our findings contribute to the limited evidence globally on returnees, particularly as the existing research has focused on returned refugees rather than returned IDPs (Roth, Ekblad, & Agren, 2006; Toscani et al, 2007; von Lersner, Elbert, & Neuner, 2008). The data do not provide a clear explanation for the variance in levels of mental disorders between the three study groups. Potential explanations include that the 1990s conflicts were much longer than the 2008 conflict and characterized by greater brutality (as evidenced by higher exposure to traumatic events such as witnessing murder and violence and suffering physical abuse). Mental disorders may also become entrenched over a sustained period of time when also coupled with lack of access to adequate care and treatment as appears common in Georgia (Makhashvili & van Voren, 2013). Ongoing impoverishment and poor living conditions may also exacerbate existing disorders such as PTSD or contribute to causing mental disorders such as depression and anxiety (Makhashvili, Tsiskarishvili, & Drožđek, 2010; Miller & Rasmussen, 2010). Further research is required on the persistence of mental disorders in long-term displaced populations and returnees and the effectiveness of interventions to address them. We found quite high levels of comorbidity, with over 40% of respondents with a presumed having more than one. PTSD has been found to be associated with high levels of comorbidity in other settings (Ayazi et al., 2012; O'Donnell et al., 2004), but we found comorbidity rates among those suffering with depression and anxiety (≈ 80%) to be significantly higher than for those with PTSD. These findings highlight the need for comprehensive evidence-based approaches that recognise and treat multiple disorders. This study also provides evidence on how these mental disorders influence functional disability and this reinforces how improvements in mental health could substantially strengthen broader individual well-being, as well as social and economic well-being. The persistence of mental disorders and their comorbidity suggests that the treatment gap for mental disorders among conflict-affected populations in Georgia may be large and leading to chronic disability. Our findings support the need for a scaled-up, comprehensive, and trauma-informed response to support the mental health of conflict-affected populations in Georgia. Given the protracted nature of the displacement in Georgia and its impact on mental disorders and functioning, the government of Georgia should seek to provide more durable long-term solutions, including strengthening socioeconomic conditions. This study has a number of limitations. The cross-sectional design means that causation cannot be attributed, and the temporal relationship between risk factors and outcomes cannot be determined. As a result, reverse causality cannot be excluded for the more subjective risk factors (e.g., community conditions and household economic status). The lack of available data on the prevalence of mental disorders among the general population of Georgia also prevents comparisons with them. The study did not include IDPs hosted by relatives or friends or living independently away from the formal and informal settlements. The long recall period could increase potential recall bias for exposure to violent and traumatic events, particularly for the 1990s IDPs. The study did not assess respondents’ psychiatric history and functioning levels prior to their exposure to the conflicts and forced displacement, largely due to concerns over recall bias (Simon & VonKorff, 1995), but it is recommended that future studies should seek to assess these where possible. Lastly, although we provide data on the validity and reliability of the study instruments with the study population, these instruments and their cutoffs were not comprehensively normed and so our data cannot strictly be said to measure rates of disorder rather than a certain level of symptoms. In conclusion, this study highlights the persistence of PTSD among conflict-affected persons in Georgia and the need for a comprehensive approach to tackling trauma-related and common mental disorders and functioning.
  16 in total

1.  Brief screening instrument for post-traumatic stress disorder.

Authors:  Chris R Brewin; Suzanna Rose; Bernice Andrews; John Green; Philip Tata; Chris McEvedy; Stuart Turner; Edna B Foa
Journal:  Br J Psychiatry       Date:  2002-08       Impact factor: 9.319

2.  The PHQ-9: validity of a brief depression severity measure.

Authors:  K Kroenke; R L Spitzer; J B Williams
Journal:  J Gen Intern Med       Date:  2001-09       Impact factor: 5.128

3.  The intraclass correlation coefficient as a measure of reliability.

Authors:  J J Bartko
Journal:  Psychol Rep       Date:  1966-08

4.  Health status of returnees to Kosovo: do living conditions during asylum make a difference?

Authors:  Letizia Toscani; Lisa A Deroo; Ariel Eytan; Marianne Gex-Fabry; Vlatko Avramovski; Louis Loutan; Patrick Bovier
Journal:  Public Health       Date:  2006-12-19       Impact factor: 2.427

5.  Predisplacement and postdisplacement factors associated with mental health of refugees and internally displaced persons: a meta-analysis.

Authors:  Matthew Porter; Nick Haslam
Journal:  JAMA       Date:  2005-08-03       Impact factor: 56.272

Review 6.  Recall of psychiatric history in cross-sectional surveys: implications for epidemiologic research.

Authors:  G E Simon; M VonKorff
Journal:  Epidemiol Rev       Date:  1995       Impact factor: 6.222

7.  Posttraumatic stress disorder and depression following trauma: understanding comorbidity.

Authors:  Meaghan L O'Donnell; Mark Creamer; Phillipa Pattison
Journal:  Am J Psychiatry       Date:  2004-08       Impact factor: 18.112

8.  The Harvard Trauma Questionnaire. Validating a cross-cultural instrument for measuring torture, trauma, and posttraumatic stress disorder in Indochinese refugees.

Authors:  R F Mollica; Y Caspi-Yavin; P Bollini; T Truong; S Tor; J Lavelle
Journal:  J Nerv Ment Dis       Date:  1992-02       Impact factor: 2.254

9.  A longitudinal study of PTSD in a sample of adult mass-evacuated Kosovars, some of whom returned to their home country.

Authors:  Göran Roth; Solvig Ekblad; Hans Agren
Journal:  Eur Psychiatry       Date:  2006-03-10       Impact factor: 5.361

Review 10.  Balancing community and hospital care: a case study of reforming mental health services in Georgia.

Authors:  Nino Makhashvili; Robert van Voren
Journal:  PLoS Med       Date:  2013-01-08       Impact factor: 11.069

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  19 in total

1.  Mental health care utilisation among internally displaced persons in Ukraine: results from a nation-wide survey.

Authors:  B Roberts; N Makhashvili; J Javakhishvili; A Karachevskyy; N Kharchenko; M Shpiker; E Richardson
Journal:  Epidemiol Psychiatr Sci       Date:  2017-07-27       Impact factor: 6.892

2.  A Cross-Sectional Analysis of the Prevalence and Determinants of Mental Distress Among Ethiopian Returnees.

Authors:  Derebe Madoro
Journal:  Neuropsychiatr Dis Treat       Date:  2021-08-30       Impact factor: 2.570

3.  Individual and community level risk-factors for alcohol use disorder among conflict-affected persons in Georgia.

Authors:  Bayard Roberts; Adrianna Murphy; Ivdity Chikovani; Nino Makhashvili; Vikram Patel; Martin McKee
Journal:  PLoS One       Date:  2014-05-27       Impact factor: 3.240

4.  Health service utilization for mental, behavioural and emotional problems among conflict-affected population in Georgia: a cross-sectional study.

Authors:  Ivdity Chikovani; Nino Makhashvili; George Gotsadze; Vikram Patel; Martin McKee; Maia Uchaneishvili; Natia Rukhadze; Bayard Roberts
Journal:  PLoS One       Date:  2015-04-08       Impact factor: 3.240

5.  Changes in mental disorder prevalence among conflict-affected populations: a prospective study in Sri Lanka (COMRAID-R).

Authors:  Chesmal Siriwardhana; Anushka Adikari; Gayani Pannala; Bayard Roberts; Sisira Siribaddana; Melanie Abas; Athula Sumathipala; Robert Stewart
Journal:  BMC Psychiatry       Date:  2015-03-10       Impact factor: 3.630

6.  Mental health of displaced and returnee populations: Insight from the Sri Lankan post-conflict experience.

Authors:  Chesmal Siriwardhana
Journal:  Confl Health       Date:  2015-08-06       Impact factor: 2.723

7.  The mental health, quality of life and life satisfaction of internally displaced persons living in Nakuru County, Kenya.

Authors:  Elijah Mironga Getanda; Chris Papadopoulos; Hala Evans
Journal:  BMC Public Health       Date:  2015-08-06       Impact factor: 3.295

8.  Mental health and psychosocial support for South Sudanese refugees in northern Uganda: a needs and resource assessment.

Authors:  Alex Adaku; James Okello; Blakeley Lowry; Jeremy C Kane; Stephen Alderman; Seggane Musisi; Wietse A Tol
Journal:  Confl Health       Date:  2016-09-07       Impact factor: 2.723

9.  Coping strategies and mental health outcomes of conflict-affected persons in the Republic of Georgia.

Authors:  L Saxon; N Makhashvili; I Chikovani; M Seguin; M McKee; V Patel; J Bisson; B Roberts
Journal:  Epidemiol Psychiatr Sci       Date:  2016-01-25       Impact factor: 6.892

10.  Barriers to mental health care utilization among internally displaced persons in the republic of Georgia: a rapid appraisal study.

Authors:  Adrianna Murphy; Ivdity Chikovani; Maia Uchaneishvili; Nino Makhashvili; Bayard Roberts
Journal:  BMC Health Serv Res       Date:  2018-04-30       Impact factor: 2.655

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