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Resilience to mental disorders in a low-income, non-Westernized setting

Published online by Cambridge University Press:  01 June 2020

Kate M. Scott*
Affiliation:
Department of Psychological Medicine, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
Yang Zhang
Affiliation:
Institute for Social Research, University of Michigan, Ann Arbor, Michigan, USA
Stephanie Chardoul
Affiliation:
Institute for Social Research, University of Michigan, Ann Arbor, Michigan, USA
Dirgha J. Ghimire
Affiliation:
Institute for Social Research, University of Michigan, Ann Arbor, Michigan, USA
Jordan W. Smoller
Affiliation:
Department of Psychiatry and Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston Massachusetts, USA Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
William G. Axinn
Affiliation:
Institute for Social Research, University of Michigan, Ann Arbor, Michigan, USA
*
Author for correspondence: Kate M. Scott, E-mail: [email protected]

Abstract

Background

Cross-national studies have found, unexpectedly, that mental disorder prevalence is higher in high-income relative to low-income countries, but few rigorous studies have been conducted in very low-income countries. This study assessed mental disorders in Nepal, employing unique methodological features designed to maximize disorder detection and reporting.

Methods

In 2016–2018, 10714 respondents aged 15–59 were interviewed as part of an ongoing panel study, with a response rate of 93%. The World Mental Health version of the Composite International Diagnostic Interview (WMH-CIDI 3.0) measured lifetime and 12-month prevalence of selected anxiety, mood, alcohol use, and impulse control disorders. Lifetime recall was enhanced using a life history calendar.

Results

Lifetime prevalence ranged from 0.3% (95% CI 0.2–0.4) for bipolar disorder to 15.1% (95% CI 14.4–15.7) for major depressive disorder. The 12-month prevalences were low, ranging from 0.2% for panic disorder (95% CI 0.1–0.3) and bipolar disorder (95% CI 0.1–0.2) to 2.7% for depression (95% CI 2.4–3.0). Lifetime disorders were higher among those with less education and in the low-caste ethnic group. Gender differences were pronounced.

Conclusions

Although cultural effects on reporting cannot be ruled out, these low 12-month prevalences are consistent with reduced prevalence of mental disorders in other low-income countries. Identification of sociocultural factors that mediate the lower prevalence of mental disorders in low-income, non-Westernized settings may have implications for understanding disorder etiology and for clinical or policy interventions aimed at facilitating resilience.

Type
Original Article
Copyright
Copyright © The Author(s) 2020. Published by Cambridge University Press

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References

Axinn, W. G., Barber, J. S., & Ghimire, D. J. (1997). The neighborhood history calendar: A data collection method designed for dynamic multilevel modeling. Sociological Methodology, 27(1), 355392. https://doi.org/10.1111/1467-9531.271031.CrossRefGoogle ScholarPubMed
Axinn, W. G., Chardoul, S., Gatny, H., Ghimire, D. J., Smoller, J. W., Zhang, Y., & Scott, K. M. (2020). Using life history calendars to improve measurement of lifetime experience with mental disorders. Psychological Medicine, 50(3), 515522. https://doi.org/10.1017/S0033291719000394.CrossRefGoogle ScholarPubMed
Axinn, W. G., Ghimire, D. J., & Williams, N. E. (2012). Collecting survey data during armed conflict. Journal of Official Statistics, 28(2), 153171.Google ScholarPubMed
Axinn, W. G., Ghimire, D. J., Williams, N. E., & Scott, K. M. (2013). Gender, traumatic events and mental health disorders in a rural Asian setting. Journal of Health and Social Behavior, 54(4), 444461. https://doi.org/10.1177/0022146513501518.CrossRefGoogle Scholar
Axinn, W. G., & Pearce, L. D. (2006). Mixed method data collection strategies. New York, NY: Cambridge University Press.CrossRefGoogle Scholar
Axinn, W. G., Pearce, L. D., & Ghimire, D. J. (1999). Innovations in life history calendar applications. Social Science Research, 28(3), 243264. https://doi.org/10.1006/ssre.1998.0641.CrossRefGoogle Scholar
Barber, J. S., Shivakoti, G. P., Axinn, W. G., & Gajurel, K. (1997). Sampling strategies for rural settings: A detailed example from Chitwan Valley Family Study, Nepal. Nepal Population Journal, 6(5), 193203.Google Scholar
Benjet, C., Bromet, E., Karam, E. G., Kessler, R. C., McLaughlin, K. A., Ruscio, A. M., … Koenen, K. C. (2016). The epidemiology of traumatic event exposure worldwide: Results from the World Mental Health Survey Consortium. Psychological Medicine, 46(2), 327343. https://doi.org/10.1017/S0033291715001981.CrossRefGoogle ScholarPubMed
De Silva, M. J., Huttly, S. R., Harpham, T., & Kenward, M. G. (2007). Social capital and mental health: A comparative analysis of four low income countries. Social Science & Medicine, 64(1), 520. https://doi.org/10.1016/j.socscimed.2006.08.044.CrossRefGoogle ScholarPubMed
De Vaus, J., Hornsey, M. J., Kuppens, P., & Bastian, B. (2017). Exploring the East-West divide in prevalence of affective disorder: A case for cultural differences in coping with negative emotion. Personality and Social Psychology Review, 22(3), 285304. https://doi.org/10.1177/1088868317736222.CrossRefGoogle ScholarPubMed
Dückers, M. L. A., Reifels, L., De Beurs, D. P., & Brewin, C. R. (2019). The vulnerability paradox in global mental health and its applicability to suicide. British Journal of Psychiatry, 215(4), 588593. https://doi.org/10.1192/bjp.2019.41.CrossRefGoogle Scholar
Ehsan, A. M., & De Silva, M. J. (2015). Social capital and common mental disorder: A systematic review. Journal of Epidemiology and Community Health, 69(10), 10211028. https://doi.org/10.1136/jech-2015-205868.CrossRefGoogle ScholarPubMed
Ghimire, D. J., Axinn, W. G., Yabiku, S. T., & Thornton, A. (2006). Social change, premarital nonfamily experience, and spouse choice in an arranged marriage society. American Journal of Sociology, 111(4), 11811218. https://doi.org/10.1086/498468.CrossRefGoogle Scholar
Ghimire, D. J., Chardoul, S., Kessler, R. C., Axinn, W. G., & Adhikari, B. P. (2013). Modifying and validating the Composite International Diagnostic Interview (CIDI) for use in Nepal. International Journal of Methods in Psychiatric Research, 22(1), 7181. https://doi.org/10.1002/mpr.1375.CrossRefGoogle ScholarPubMed
Groves, R. M., Fowler, F. J. Jr., Couper, M. P., Lepkowski, J. M., Singer, E., & Tourangeau, R. (2009). Survey methodology. Hoboken, NJ: John Wiley & Sons.Google Scholar
Hawes, A. M., Axinn, W. G., & Ghimire, D. J. (2016). Ethnicity and psychiatric disorders. Annals of Psychiatry and Mental Health, 4(4), 1072.Google ScholarPubMed
Jordans, M. J. D., Luitel, N. P., Kohrt, B. A., Rathod, S. D., Garman, E. C., Silva, M. D., … Lund, C. (2019). Community-, facility-, and individual-level outcomes of a district mental healthcare plan in a low-resource setting in Nepal: A population-based evaluation. PLOS Medicine, 16(2), e1002748. https://doi.org/10.1371/journal.pmed.1002748.CrossRefGoogle Scholar
Jorm, A. F., & Ryan, S. M. (2014). Cross-national and historical differences in subjective well-being. International Journal of Epidemiology, 43(2), 330340. https://doi.org/10.1093/ije/dyt188.CrossRefGoogle ScholarPubMed
Kessler, R. C., & Üstün, T. B. (2004). The World Mental Health (WMH) survey initiative version of the World Health Organization (WHO) Composite International Diagnostic Interview (CIDI). International Journal of Methods in Psychiatric Research, 13(2), 93121. https://doi.org/10.1002/mpr.168.CrossRefGoogle Scholar
Kessler, R. C., & Üstün, T. B. (Eds.). (2008). The WHO world mental health surveys: Global perspectives on the epidemiology of mental disorders. New York, NY: Cambridge University Press.Google Scholar
Kohrt, B. A., Jordans, M. J. D., Tol, W. A., Speckman, R. A., Maharjan, S. M., Worthman, C. M., & Komproe, I. H. (2008). Comparison of mental health between former child soldiers and children never conscripted by armed groups in Nepal. JAMA: The Journal of the American Medical Association, 300(6), 691702. https://doi.org/10.1001/jama.300.6.691.CrossRefGoogle ScholarPubMed
Koplewicz, H. S., Gurian, A., & Williams, K. (2009). The era of affluence and its discontents. Journal of the American Academy of Child & Adolescent Psychiatry, 48(11), 10531055. https://doi.org/10.1097/CHI.0b013e3181b8be5c.CrossRefGoogle ScholarPubMed
Lee, S. (2018). Social capital and health at the country level. The Social Science Journal, 55(1), 3751. https://doi.org/10.1016/j.soscij.2017.11.003.CrossRefGoogle Scholar
Leon, A. C., Olfson, M., Portera, L., Farber, L., & Sheehan, D. V. (1997). Assessing psychiatric impairment in primary care with the Sheehan Disability Scale. The International Journal of Psychiatry in Medicine, 27(2), 93105. https://doi.org/10.2190/T8EM-C8YH-373N-1UWD.CrossRefGoogle ScholarPubMed
Luitel, N. P., Jordans, M. J. D., Sapkota, R. P., Tol, W. A., Kohrt, B. A., Thapa, S. B., … Sharma, B. (2013). Conflict and mental health: A cross-sectional epidemiological study in Nepal. Social Psychiatry and Psychiatric Epidemiology, 48(2), 183193.CrossRefGoogle ScholarPubMed
Luthar, S. S., Barkin, S. H., & Crossman, E. J. (2013). “I can, therefore I must”: Fragility in the upper-middle classes. Development and Psychopathology, 25(4pt2), 15291549. https://doi.org/10.1017/S0954579413000758.CrossRefGoogle ScholarPubMed
Markus, H. R., & Kitayama, S. (1991). Culture and the self: Implications for cognition, emotion, and motivation. Psychological Review, 98(2), 224253. https://doi.org/10.1037/0033-295X.98.2.224.CrossRefGoogle Scholar
McKenzie, K., Whitley, R., & Weich, S. (2002). Social capital and mental health. British Journal of Psychiatry, 181(4), 280283. https://doi.org/10.1192/bjp.181.4.280.CrossRefGoogle ScholarPubMed
Pickett, K. E., & Wilkinson, R. G. (2010). Inequality: An underacknowledged source of mental illness and distress. British Journal of Psychiatry, 197(6), 426428. https://doi.org/10.1192/bjp.bp.109.072066.CrossRefGoogle ScholarPubMed
Scott, K. M., Al-Hamzawi, A. O., Andrade, L. H., Borges, G., Caldas-de-Almeida, J. M., Fiestas, F., … Kessler, R. C. (2014). Associations between subjective social status and DSM-IV mental disorders: Results from the World Mental Health Surveys. JAMA Psychiatry, 71(12), 14001408. https://doi.org/10.1001/jamapsychiatry.2014.1337.CrossRefGoogle ScholarPubMed
Scott, K. M., De Jonge, P., Stein, D. J., & Kessler, R. C. (Eds.). (2018). Mental disorders around the world: Facts and figures from WHO World Mental Health Surveys (1 ed.). Cambridge; New York, NY: Cambridge University Press.CrossRefGoogle Scholar
Seedat, S., Scott, K. M., Angermeyer, M. C., Berglund, P., Bromet, E. J., Brugha, T. S., … Jin, R. (2009). Cross-national associations between gender and mental disorders in the WHO World Mental Health Surveys. Archives of General Psychiatry, 66(7), 785795. https://doi.org/10.1001/archgenpsychiatry.2009.36.CrossRefGoogle Scholar
Steel, Z., Marnane, C., Iranpour, C., Chey, T., Jackson, J. W., Patel, V., & Silove, D. (2014). The global prevalence of common mental disorders: A systematic review and meta-analysis 1980–2013. International Journal of Epidemiology, 43(2), 476493. https://doi.org/10.1093/ije/dyu038.CrossRefGoogle ScholarPubMed
Stone, L., & Campbell, J. G. (1984). The use and misuse of surveys in international development: An experiment from Nepal. Human Organization, 43(1), 2737.CrossRefGoogle Scholar
Takayanagi, Y., Spira, A. P., Roth, K. B., Gallo, J. J., Eaton, W. W., & Mojtabai, R. (2014). Accuracy of reports of lifetime mental and physical disorders: Results from the Baltimore Epidemiological Catchment Area Study. JAMA Psychiatry, 71(3), 273280. https://doi.org/10.1001/jamapsychiatry.2013.3579.CrossRefGoogle ScholarPubMed
Thornton, A., Ghimire, D. J., & Mitchell, C. (2012). The measurement and prevalence of an ideational model of family and economic development in Nepal. Population Studies, 66(3), 329345.CrossRefGoogle ScholarPubMed
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