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Record W2540570022 · doi:10.1037/cap0000065

Well-being after trauma: A review of posttraumatic growth among refugees.

2016· review· en· W2540570022 on OpenAlexaboutno aff
K. Jacky Chan, Marta Y. Young, Noor Sharif

Bibliographic record

VenueCanadian Psychology/Psychologie canadienne · 2016
Typereview
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsnot available
Fundersnot available
KeywordsPosttraumatic growthPsychologyRefugeePosttraumatic stressEmotional traumaClinical psychologyPsychotherapistPsychiatryPolitical science

Abstract

fetched live from OpenAlex

The United Nations Refugee Agency (UNHCR, 2015) has estimated that close to 60 million people have been impacted by war and armed conflicts worldwide. Those affected include refugees, refugee claimants/asylum seekers as well as internally displaced and stateless persons. With respect to refugees in particular, there are approximately 16 million refugees worldwide. This figure is of significant global concern given that the number of refugees continues to escalate. Most refugees originate from Middle Eastern countries, with Syrian refugees currently accounting for the largest proportion (4.2 million). Afghani refugees account for another 2.6 million. In addition, countries in the Horn of Africa and surrounding regions, such as Somalia, Ethiopia, and Sudan, continue to be a significant source of refugees.Although Canada has traditionally been viewed as a safe haven for refugees, only an average of 1% have been resettled yearly (UNHCR, 2015). Given the Syrian refugee crisis and recent changes in governmental policies, the acceptance rate for Syrian refugees has increased dramatically (Immigration, Refugees, & Citizenship Canada, 2016). Recent statistics indicate that over 28,000 Syrian refugees have resettled in Canada. Moreover, an additional 2,700 Syrians have been granted refugee status and are due to arrive imminently.In response to the Syrian refugee crisis, Canadian psychologists and other mental health professionals have become more active in refugee research, are expanding their clinical services, and are engaging in advocacy work (Canadian Psychological Association, 2016). As part of this special issue of Canadian Psychology, this review article will synthesize and discuss the literature on posttraumatic growth (PTG) among refugees. Refugees experience high levels of trauma and tend to have poorer adjustment and well-being outcomes (Kirmayer et al., 2011; Young & Chan, 2015). However, there is emerging research suggesting that some refugees experience positive well-being (Kroo & Nagy, 2011; Teodorescu et al., 2012). In the following sections, the mental health sequelae of refugee trauma will be reviewed. The literature on PTG will then be explored as well as factors that are related to PTG. A much more recent concept, vicarious PTG (vPTG) among mental health providers, will also be introduced. This review paper will conclude with new directions for PTG research with refugees in Canada and abroad.Refugee TraumaRefugees experience a host of stressful and traumatic events during the various stages of migration (Kirmayer et al., 2011; Teodorescu et al., 2012; Young & Chan, 2015). In their countries of origin, many refugees experience the following typical traumatic events: physical and sexual assaults, persecution, torture, witnessing the deaths of loved ones, friends, and neighbours, and having one's home ransacked and belongings destroyed (Kilic, Magruder, & Koryurek, 2016; Teodorescu et al., 2012). Often, basic needs, such as food, water, housing, and medical care, are either very limited or unavailable. Women living in armed conflict areas are disproportionately affected because of the prevalence of gender-based violence (Young & Chan, 2015). Intimate partner violence, rape, and ethnic cleansing often come to mind in the context of women and war. Within refugee families, family members may be separated in the chaos of flight and parents are sometimes faced with the difficult choice of parting from their children (i.e., smuggling their children out of the country) to ensure their survival (Young & Chan, 2014).During flight, refugees often encounter additional traumatic experiences, such as undertaking dangerous and arduous journeys and/or ending up in refugee camps (Ssenyonga, Owens, & Olema, 2013). Despite lay notions, refugee camps are often overcrowded with rationed food and little potable water. Women and children are often sexually violated (Young & Chan, 2015). …

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.009
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0090.009
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.037
GPT teacher head0.369
Teacher spread0.332 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations113
Published2016
Admission routes1
Has abstractyes

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Same venueCanadian Psychology/Psychologie canadienneSame topicMigration, Health and TraumaFrench-language works237,207