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Review
. 2014 Apr;43(2):365-406.
doi: 10.1093/ije/dyt227. Epub 2013 Dec 23.

Cultural concepts of distress and psychiatric disorders: literature review and research recommendations for global mental health epidemiology

Affiliations
Review

Cultural concepts of distress and psychiatric disorders: literature review and research recommendations for global mental health epidemiology

Brandon A Kohrt et al. Int J Epidemiol. 2014 Apr.

Abstract

Background: Burgeoning global mental health endeavors have renewed debates about cultural applicability of psychiatric categories. This study's goal is to review strengths and limitations of literature comparing psychiatric categories with cultural concepts of distress (CCD) such as cultural syndromes, culture-bound syndromes, and idioms of distress.

Methods: The Systematic Assessment of Quality in Observational Research (SAQOR) was adapted based on cultural psychiatry principles to develop a Cultural Psychiatry Epidemiology version (SAQOR-CPE), which was used to rate quality of quantitative studies comparing CCD and psychiatric categories. A meta-analysis was performed for each psychiatric category.

Results: Forty-five studies met inclusion criteria, with 18 782 unique participants. Primary objectives of the studies included comparing CCD and psychiatric disorders (51%), assessing risk factors for CCD (18%) and instrument validation (16%). Only 27% of studies met SAQOR-CPE criteria for medium quality, with the remainder low or very low quality. Only 29% of studies employed representative samples, 53% used validated outcome measures, 44% included function assessments and 44% controlled for confounding. Meta-analyses for anxiety, depression, PTSD and somatization revealed high heterogeneity (I(2) > 75%). Only general psychological distress had low heterogeneity (I(2) = 8%) with a summary effect odds ratio of 5.39 (95% CI 4.71-6.17). Associations between CCD and psychiatric disorders were influenced by methodological issues, such as validation designs (β = 16.27, 95%CI 12.75-19.79) and use of CCD multi-item checklists (β = 6.10, 95%CI 1.89-10.31). Higher quality studies demonstrated weaker associations of CCD and psychiatric disorders.

Conclusions: Cultural concepts of distress are not inherently unamenable to epidemiological study. However, poor study quality impedes conceptual advancement and service application. With improved study design and reporting using guidelines such as the SAQOR-CPE, CCD research can enhance detection of mental health problems, reduce cultural biases in diagnostic criteria and increase cultural salience of intervention trial outcomes.

Keywords: Culture; developing countries; epidemiologic methods; global mental health; mental disorders; meta-analysis.

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Figures

Figure 1
Figure 1
PRISMA diagram showing selection of studies for inclusion in systematic review of cultural concepts of distress (CCD) and psychiatric disorders
Figure 2
Figure 2
Meta-analysis with forest plot for odds of having depression given presence of cultural concepts of distress (CCD); n = 9032, odds ratio = 7.55 (95% confidence interval, 6.69–8.52)
Figure 3
Figure 3
Meta-analysis with forest plot for odds of having general anxiety given presence of cultural concepts of distress (CCD); n = 8211, odds ratio = 5.06 (95% confidence interval, 4.48–5.70)
Figure 4
Figure 4
Meta-analysis with forest plot for odds of having panic attacks/disorder or PTSD given presence of cultural concepts of distress (CCD); panic attacks/disorder, n = 6158, odds ratio = 4.48 (95% confidence interval, 3.77–5.32); posttraumatic stress disorder (PTSD), n = 1246, odds ratio = 10.10 (95% confidence interval, 7.51–13.57)
Figure 5
Figure 5
Meta-analysis with forest plot for odds of having general psychological distress given presence of cultural concepts of distress (CCD); n = 6658, odds ratio = 5.39 (95% confidence interval, 4.71–6.17)
Figure 6
Figure 6
Meta-analysis with forest plot for odds of having somatoform disorders given presence of cultural concepts of distress (CCD); n = 3268, odds ratio = 2.68 (95% confidence interval, 2.18–3.28)

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