Shuxian Wu1, Andre M N Renzaho2, Brian J Hall3, Lishuo Shi4, Li Ling4, Wen Chen5. 1. Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China; Sun Yat-sen Centre for Migrant Health Policy, Sun Yat-sen University, Guangzhou, China; Zhejiang Provincial Centre for Disease Control and Prevention, Hangzhou, China. 2. School of Social Sciences, Translational Health Research Institute, Western Sydney University, Penrith, NSW, Australia. 3. Sun Yat-sen Centre for Migrant Health Policy, Sun Yat-sen University, Guangzhou, China; New York University (Shanghai), Shanghai, China; Department of Health, Behaviour and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. 4. Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China; Sun Yat-sen Centre for Migrant Health Policy, Sun Yat-sen University, Guangzhou, China. 5. Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China; Sun Yat-sen Centre for Migrant Health Policy, Sun Yat-sen University, Guangzhou, China; School of Social Sciences, Translational Health Research Institute, Western Sydney University, Penrith, NSW, Australia. Electronic address: chenw43@mail.sysu.edu.cn.
Abstract
BACKGROUND: Understanding the time-varying association of pre-migration and post-migration stressors in refugees' mental health could help in designing tailored health promotion services at different resettlement stages and improving the efficiency of resource allocation. In this study, we explored these time-varying associations. METHODS: We used data from the first four waves (October, 2013, to February, 2017) of a national refugee-based longitudinal study, the Building a New Life in Australia (BNLA) project. Post-traumatic stress disorder (PTSD) and high risk of severe mental illness (HR-SMI) were used to assess mental health. The independent variables included the number of potentially traumatic events experienced during the pre-migration process, and a range of post-migration stressors. We used logistic regression models to analyse the relative importance of variables and time-varying associations between the pre-migration potentially traumatic events, post-migration resettlement stressors, and refugees' mental health. Analyses were stratified by gender, and sociodemographic covariates included age, marital status, education level, country of birth, and weekly income. RESULTS: 2399 participants were surveyed in Wave 1 of the BNLA project in 2013-14, of whom 2009 (83·7%) responded in Wave 2 in 2014-15, 1894 (78·9%) in Wave 3 in 2015-16, and 1929 (80·4%) in Wave 4 in 2016-17. The three most important factors associated with mental health in each wave differed for male and female refugees, but the socioeconomic stressors of loneliness and adjustment to life in Australia were consistently prominent. Positive associations between socioeconomic stressors and mental ill-health were found for both genders, with a peak at Wave 2 (adjusted odds ratio [AOR] among men, 1·60 [95% CI 1·26-2·03], p=0.0001 for PTSD; AOR 1·86 [1·35-2·55], p=0·0001 for HR-SMI; and among women, AOR 1·81 [1·27-2·57], p=0·0009 for PTSD; AOR 2·24 [1·49-3·38], p=0·0001 for HR-SMI). Associations between loneliness and mental health fluctuated, but were significant for both genders in Wave 4 (among men, AOR 1·90 [1·21-2·99], p=0·0051 for PTSD; AOR 3·70 [2·18-6·27], p<0·0001 for HR-SMI; and among women, AOR 3·65 [2·08-6·39], p<0·0001 for PTSD; AOR 3·68 [2·02-6·69], p<0·0001 for HR-SMI). The association between difficulties in adjustment to life in Australia and male refugees' mental ill-health increased continuously during the resettlement period. INTERPRETATION: Gender-specific and time-sensitive services should be considered to improve refugees' mental health. For both genders, improved economic conditions that complement social security benefits deserve attention and are relevant throughout the resettlement process. At the later stage of resettlement, services to reduce loneliness could be carried out, and reducing stressors related to adjustment to life in the host country is especially needed for male refugees. FUNDING: None.
BACKGROUND: Understanding the time-varying association of pre-migration and post-migration stressors in refugees' mental health could help in designing tailored health promotion services at different resettlement stages and improving the efficiency of resource allocation. In this study, we explored these time-varying associations. METHODS: We used data from the first four waves (October, 2013, to February, 2017) of a national refugee-based longitudinal study, the Building a New Life in Australia (BNLA) project. Post-traumatic stress disorder (PTSD) and high risk of severe mental illness (HR-SMI) were used to assess mental health. The independent variables included the number of potentially traumatic events experienced during the pre-migration process, and a range of post-migration stressors. We used logistic regression models to analyse the relative importance of variables and time-varying associations between the pre-migration potentially traumatic events, post-migration resettlement stressors, and refugees' mental health. Analyses were stratified by gender, and sociodemographic covariates included age, marital status, education level, country of birth, and weekly income. RESULTS: 2399 participants were surveyed in Wave 1 of the BNLA project in 2013-14, of whom 2009 (83·7%) responded in Wave 2 in 2014-15, 1894 (78·9%) in Wave 3 in 2015-16, and 1929 (80·4%) in Wave 4 in 2016-17. The three most important factors associated with mental health in each wave differed for male and female refugees, but the socioeconomic stressors of loneliness and adjustment to life in Australia were consistently prominent. Positive associations between socioeconomic stressors and mental ill-health were found for both genders, with a peak at Wave 2 (adjusted odds ratio [AOR] among men, 1·60 [95% CI 1·26-2·03], p=0.0001 for PTSD; AOR 1·86 [1·35-2·55], p=0·0001 for HR-SMI; and among women, AOR 1·81 [1·27-2·57], p=0·0009 for PTSD; AOR 2·24 [1·49-3·38], p=0·0001 for HR-SMI). Associations between loneliness and mental health fluctuated, but were significant for both genders in Wave 4 (among men, AOR 1·90 [1·21-2·99], p=0·0051 for PTSD; AOR 3·70 [2·18-6·27], p<0·0001 for HR-SMI; and among women, AOR 3·65 [2·08-6·39], p<0·0001 for PTSD; AOR 3·68 [2·02-6·69], p<0·0001 for HR-SMI). The association between difficulties in adjustment to life in Australia and male refugees' mental ill-health increased continuously during the resettlement period. INTERPRETATION: Gender-specific and time-sensitive services should be considered to improve refugees' mental health. For both genders, improved economic conditions that complement social security benefits deserve attention and are relevant throughout the resettlement process. At the later stage of resettlement, services to reduce loneliness could be carried out, and reducing stressors related to adjustment to life in the host country is especially needed for male refugees. FUNDING: None.
Authors: Ana-Marija Tomasi; Shameran Slewa-Younan; Renu Narchal; Pilar Rioseco Journal: Int J Environ Res Public Health Date: 2022-02-08 Impact factor: 3.390
Authors: Meng Zheng; Feng Chen; Yan Pan; Di Kong; Andre M N Renzaho; Berhe W Sahle; Rashidul Alam Mahumud; Li Ling; Wen Chen Journal: Int J Environ Res Public Health Date: 2022-08-16 Impact factor: 4.614