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Record W6887822599 · doi:10.17605/osf.io/w3q5c

National Religiosity, Collectivism and the “Vulnerability Paradox” in the Cross-National Prevalence of Post-traumatic stress disorder

2023· other· en· W6887822599 on OpenAlexaboutno aff

Bibliographic record

VenueOSF Preprints (OSF Preprints) · 2023
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsReligiosityCoping (psychology)CollectivismDistressIndigenousMaladaptive copingEthnic groupSpirituality

Abstract

fetched live from OpenAlex

Although post-traumatic stress disorder (PTSD) occurs throughout the world, studies indicate that it is more prevalent in affluent countries, such as Canada, with greater coping capacity (e.g., higher gross domestic product, number of physicians and hospital beds) than in less affluent nations (countries in Africa, Asia, and South America). In one study, PTSD prevalence was inversely associated with a country’s coping capacities when exposure to trauma was high (Dückers et al., 2016). PTSD prevalence was unexpectedly higher in countries with greater societal and adaptive capacities for coping with trauma than in countries with less coping capacities. In the majority-world, adverse events appear to trigger less PTSD and individuals diagnosed with the disorder are less likely to avoid people that remind them of the traumatic event (Maercker, 2019; Rasmussen et al., 2015). The reasons for these discrepancies are not fully understood, but one explanation might be found in cultural factors (Heine, 2015). Why would trauma exposure more likely lead to PTSD in a country with greater coping capacity than in a majority-world nation with less coping capacity? One might hypothesize that two central aspects of culture that moderate the impact of a traumatic event are religiosity and collectivism. At the country-level, religiosity and collectivism are highest in the majority-world: African countries, India, Muslim-majority Asian and Middle Eastern countries, as well as South and Latin America (Saucier et al., 2015; Berkessel et al., 2021; Pelham et al., 2022). Religiosity and spirituality are also found to be commonly used indigenous models for explaining and treating psychological distress across cultures in Africa, Asia, South America, the Middle East, and the Caribbean. A greater level of religiosity in majority-world nations may facilitate the use of religion- and spirituality-based explanations for traumatic events, as well as collective forms of resilience including communal rituals. Higher collectivism in the majority-world may play a compensatory role where there is a lack of resources by functioning to disperse the burden of individual adversity (Pelham et al., 2022). For example, in Sub-Saharan African contexts, botho/ubuntu, a uniquely African collectivist notion, places community ahead of individual members, and this may confer protective effects. Botho defines a person in relation to others leading to a social interconnectedness that may discourage avoidance and ease the burden of individual adversity (Sodi et al., 2021). Although often overlooked, religiosity and collectivism may be important factors in helping to explain “the vulnerability paradox” in the cross-national prevalence of PTSD. Traumatic events occurring in highly religious and collectivist contexts may be more explainable and less shockingly discrepant than those occurring in nations with lower levels of religiosity and collectivism, and therefore, less likely to trigger PTSD.

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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.020
GPT teacher head0.309
Teacher spread0.289 · 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 designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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