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      Cross-cultural equivalence of the Kessler Psychological Distress Scale (K10) across four African countries in a multi-national study of adults

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          Abstract

          The Kessler Psychological Distress Scale (K10) has been widely used to screen psychological distress across many countries. However, its performance has not been extensively studied in Africa. The present study sought to evaluate and compare measurement properties of the K10 across four African countries: Ethiopia, Kenya, Uganda, and South Africa. Our hypothesis is that the measure will show equivalence across all.

          Data are drawn from a neuropsychiatric genetic study among adult participants ( N = 9179) from general medical settings in Ethiopia ( n = 1928), Kenya ( n = 2556), Uganda ( n = 2104), and South Africa ( n = 2591). A unidimensional model with correlated errors was tested for equivalence across study countries using confirmatory factor analyses and the alignment optimization method. Results displayed 30 % noninvariance (i.e., variation) for both intercepts and factor loadings across all countries. Monte Carlo simulations showed a correlation of 0.998, a good replication of population values, indicating minimal noninvariance, or variation. Items “so nervous,” “lack of energy/effortful tasks,” and “tired” were consistently equivalent for intercepts and factor loadings, respectively. However, items “depressed” and “so depressed” consistently differed across study countries (R 2 = 0) for intercepts and factor loadings for both items.

          The K10 scale likely functions equivalently across the four countries for most items, except “depressed” and “so depressed.” Differences in K10 items were more common in Kenya and Ethiopia, suggesting cultural context may influence the interpretation of some items and the potential need for cultural adaptations in these countries.

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          Most cited references49

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          Short screening scales to monitor population prevalences and trends in non-specific psychological distress

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            The Lancet Commission on global mental health and sustainable development

            The Lancet, 392(10157), 1553-1598
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              Global, regional, and national burden of 12 mental disorders in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

              (2022)
              Summary Background The mental disorders included in the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 were depressive disorders, anxiety disorders, bipolar disorder, schizophrenia, autism spectrum disorders, conduct disorder, attention-deficit hyperactivity disorder, eating disorders, idiopathic developmental intellectual disability, and a residual category of other mental disorders. We aimed to measure the global, regional, and national prevalence, disability-adjusted life-years (DALYS), years lived with disability (YLDs), and years of life lost (YLLs) for mental disorders from 1990 to 2019. Methods In this study, we assessed prevalence and burden estimates from GBD 2019 for 12 mental disorders, males and females, 23 age groups, 204 countries and territories, between 1990 and 2019. DALYs were estimated as the sum of YLDs and YLLs to premature mortality. We systematically reviewed PsycINFO, Embase, PubMed, and the Global Health Data Exchange to obtain data on prevalence, incidence, remission, duration, severity, and excess mortality for each mental disorder. These data informed a Bayesian meta-regression analysis to estimate prevalence by disorder, age, sex, year, and location. Prevalence was multiplied by corresponding disability weights to estimate YLDs. Cause-specific deaths were compiled from mortality surveillance databases. The Cause of Death Ensemble modelling strategy was used to estimate death rate by age, sex, year, and location. The death rates were multiplied by the years of life expected to be remaining at death based on a normative life expectancy to estimate YLLs. Deaths and YLLs could be calculated only for anorexia nervosa and bulimia nervosa, since these were the only mental disorders identified as underlying causes of death in GBD 2019. Findings Between 1990 and 2019, the global number of DALYs due to mental disorders increased from 80·8 million (95% uncertainty interval [UI] 59·5–105·9) to 125·3 million (93·0–163·2), and the proportion of global DALYs attributed to mental disorders increased from 3·1% (95% UI 2·4–3·9) to 4·9% (3·9–6·1). Age-standardised DALY rates remained largely consistent between 1990 (1581·2 DALYs [1170·9–2061·4] per 100 000 people) and 2019 (1566·2 DALYs [1160·1–2042·8] per 100 000 people). YLDs contributed to most of the mental disorder burden, with 125·3 million YLDs (95% UI 93·0–163·2; 14·6% [12·2–16·8] of global YLDs) in 2019 attributable to mental disorders. Eating disorders accounted for 17 361·5 YLLs (95% UI 15 518·5–21 459·8). Globally, the age-standardised DALY rate for mental disorders was 1426·5 (95% UI 1056·4–1869·5) per 100 000 population among males and 1703·3 (1261·5–2237·8) per 100 000 population among females. Age-standardised DALY rates were highest in Australasia, Tropical Latin America, and high-income North America. Interpretation GBD 2019 showed that mental disorders remained among the top ten leading causes of burden worldwide, with no evidence of global reduction in the burden since 1990. The estimated YLLs for mental disorders were extremely low and do not reflect premature mortality in individuals with mental disorders. Research to establish causal pathways between mental disorders and other fatal health outcomes is recommended so that this may be addressed within the GBD study. To reduce the burden of mental disorders, coordinated delivery of effective prevention and treatment programmes by governments and the global health community is imperative. Funding Bill & Melinda Gates Foundation, Australian National Health and Medical Research Council, Queensland Department of Health, Australia.
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                Author and article information

                Journal
                9918248909306676
                50883
                SSM Ment Health
                SSM Ment Health
                SSM. Mental health
                2666-5603
                15 April 2024
                June 2024
                10 February 2024
                01 June 2024
                : 5
                : 100300
                Affiliations
                [a ]Institute of Health Equity and Social Justice, Bouvé College of Health Sciences, Northeastern University, Boston, MA, USA
                [b ]Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
                [c ]Department of Epidemiology, Harvard T. H Chan School of Public Health, Boston, MA, 02115, USA
                [d ]Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA
                [e ]Stanley Center for Psychiatric Research at Broad Institute of MIT and Harvard, Cambridge, MA, USA
                [f ]Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
                [g ]Centre for Clinical Research, Kenya Medical Research Institute, Nairobi, Kenya
                [h ]Department of Psychiatry, School of Medicine, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
                [i ]Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
                [j ]Unit on Risk and Resilience in Mental Disorders, South African Medical Research Council (SAMRC), Cape Town, South Africa
                [k ]Neuroscience Institute, University of Cape Town, Cape Town, South Africa
                [l ]Department of Psychiatry, Makerere University, Kampala, Uganda
                [m ]Department of Mental Health, Moi Teaching and Referral Hospital, Eldoret, Kenya
                [n ]Department of Mental Health, Moi University School of Medicine, Eldoret, Kenya
                [o ]Department of Internal Medicine, Medical College East Africa, Brain and Mind Institute, Aga Khan University, Nairobi, Kenya
                [p ]Executive Dean’s Office, Faculty of Health Sciences, Nelson Mandela University, Gqeberha, South Africa
                [q ]Neuroscience Unit, Kenya Medical Research Institute - Wellcome Trust Research Program, Kilifi, Kenya
                [s ]Department of Public Health, Pwani University, Kilifi, Kenya
                [t ]Department of Psychiatry, University of Oxford, Oxford, UK
                [u ]Department of Psychiatry, Harvard Medical School, Boston, MA, USA
                Author notes
                [* ]Corresponding author. 331 International Villages Administrative Offices, Room 313, Boston, MA, USA. amantia.ametaj@ 123456gmail.com (A.A. Ametaj).

                Contribution

                All authors have materially participated in the research and/or article preparation for this study. AAA, CAD, and BG participated in the design of research questions and study for this manuscript. AAA conducted data analyses and interpretation of results. AAA, CAD, and JH drafted the manuscript. DA, EKK, LA, ST, ZZ, DJS, CRJCN and SMK, KCK, and BG obtained funding for the NeuroGAP-Psychosis study. AS, RES, JK, SG, MA, AP, and RMM contributed to data acquisition. All authors reviewed the results, edited and critically revised the manuscript, and approved the final version of the manuscript.

                Article
                NIHMS1985638
                10.1016/j.ssmmh.2024.100300
                11064105
                38706931
                f0a04462-22da-4449-839c-57188d446538

                This is an open access article under the CC BY-NC-ND license ( http://creativecommons.org/licenses/by-nc-nd/4.0/).

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                depression,anxiety,africa,assessment,alignment optimization method,cultural equivalence

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