Cross-cultural equivalence of the Kessler Psychological Distress Scale (K10) across four African countries in a multi-national study of adults
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 coun...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Amantia A. Ametaj [verfasserIn] Christy A. Denckla [verfasserIn] Anne Stevenson [verfasserIn] Rocky E. Stroud, II [verfasserIn] Jasmine Hall [verfasserIn] Linnet Ongeri [verfasserIn] Barkot Milkias [verfasserIn] Jacob Hoffman [verfasserIn] Molly Naisanga [verfasserIn] Dickens Akena [verfasserIn] Joseph Kyebuzibwa [verfasserIn] Edith K. Kwobah [verfasserIn] Lukoye Atwoli [verfasserIn] Stella Gichuru [verfasserIn] Solomon Teferra [verfasserIn] Melkam Alemayehu [verfasserIn] Zukiswa Zingela [verfasserIn] Dan J. Stein [verfasserIn] Adele Pretorius [verfasserIn] Charles R.J.C. Newton [verfasserIn] Rehema M. Mwema [verfasserIn] Symon M. Kariuki [verfasserIn] Karestan C. Koenen [verfasserIn] Bizu Gelaye [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2024 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
In: SSM - Mental Health - Elsevier, 2021, 5(2024), Seite 100300- |
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| Übergeordnetes Werk: |
volume:5 ; year:2024 ; pages:100300- |
| Links: |
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| DOI / URN: |
10.1016/j.ssmmh.2024.100300 |
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| Katalog-ID: |
DOAJ100347614 |
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| 520 | |a 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 (R2 = 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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10.1016/j.ssmmh.2024.100300 doi (DE-627)DOAJ100347614 (DE-599)DOAJ97dc99c701c04f769bd2cd6a02ac0064 DE-627 ger DE-627 rakwb eng RZ400-408 RA1-1270 Amantia A. Ametaj verfasserin aut Cross-cultural equivalence of the Kessler Psychological Distress Scale (K10) across four African countries in a multi-national study of adults 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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 (R2 = 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. Depression Anxiety Africa Assessment Alignment optimization method Cultural equivalence Mental healing Public aspects of medicine Christy A. Denckla verfasserin aut Anne Stevenson verfasserin aut Rocky E. Stroud, II verfasserin aut Jasmine Hall verfasserin aut Linnet Ongeri verfasserin aut Barkot Milkias verfasserin aut Jacob Hoffman verfasserin aut Molly Naisanga verfasserin aut Dickens Akena verfasserin aut Joseph Kyebuzibwa verfasserin aut Edith K. Kwobah verfasserin aut Lukoye Atwoli verfasserin aut Stella Gichuru verfasserin aut Solomon Teferra verfasserin aut Melkam Alemayehu verfasserin aut Zukiswa Zingela verfasserin aut Dan J. Stein verfasserin aut Adele Pretorius verfasserin aut Charles R.J.C. Newton verfasserin aut Rehema M. Mwema verfasserin aut Symon M. Kariuki verfasserin aut Karestan C. Koenen verfasserin aut Bizu Gelaye verfasserin aut In SSM - Mental Health Elsevier, 2021 5(2024), Seite 100300- (DE-627)1776297989 26665603 nnns volume:5 year:2024 pages:100300- https://doi.org/10.1016/j.ssmmh.2024.100300 kostenfrei https://doaj.org/article/97dc99c701c04f769bd2cd6a02ac0064 kostenfrei http://www.sciencedirect.com/science/article/pii/S2666560324000057 kostenfrei https://doaj.org/toc/2666-5603 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 5 2024 100300- |
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10.1016/j.ssmmh.2024.100300 doi (DE-627)DOAJ100347614 (DE-599)DOAJ97dc99c701c04f769bd2cd6a02ac0064 DE-627 ger DE-627 rakwb eng RZ400-408 RA1-1270 Amantia A. Ametaj verfasserin aut Cross-cultural equivalence of the Kessler Psychological Distress Scale (K10) across four African countries in a multi-national study of adults 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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 (R2 = 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. Depression Anxiety Africa Assessment Alignment optimization method Cultural equivalence Mental healing Public aspects of medicine Christy A. Denckla verfasserin aut Anne Stevenson verfasserin aut Rocky E. Stroud, II verfasserin aut Jasmine Hall verfasserin aut Linnet Ongeri verfasserin aut Barkot Milkias verfasserin aut Jacob Hoffman verfasserin aut Molly Naisanga verfasserin aut Dickens Akena verfasserin aut Joseph Kyebuzibwa verfasserin aut Edith K. Kwobah verfasserin aut Lukoye Atwoli verfasserin aut Stella Gichuru verfasserin aut Solomon Teferra verfasserin aut Melkam Alemayehu verfasserin aut Zukiswa Zingela verfasserin aut Dan J. Stein verfasserin aut Adele Pretorius verfasserin aut Charles R.J.C. Newton verfasserin aut Rehema M. Mwema verfasserin aut Symon M. Kariuki verfasserin aut Karestan C. Koenen verfasserin aut Bizu Gelaye verfasserin aut In SSM - Mental Health Elsevier, 2021 5(2024), Seite 100300- (DE-627)1776297989 26665603 nnns volume:5 year:2024 pages:100300- https://doi.org/10.1016/j.ssmmh.2024.100300 kostenfrei https://doaj.org/article/97dc99c701c04f769bd2cd6a02ac0064 kostenfrei http://www.sciencedirect.com/science/article/pii/S2666560324000057 kostenfrei https://doaj.org/toc/2666-5603 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 5 2024 100300- |
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10.1016/j.ssmmh.2024.100300 doi (DE-627)DOAJ100347614 (DE-599)DOAJ97dc99c701c04f769bd2cd6a02ac0064 DE-627 ger DE-627 rakwb eng RZ400-408 RA1-1270 Amantia A. Ametaj verfasserin aut Cross-cultural equivalence of the Kessler Psychological Distress Scale (K10) across four African countries in a multi-national study of adults 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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 (R2 = 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. Depression Anxiety Africa Assessment Alignment optimization method Cultural equivalence Mental healing Public aspects of medicine Christy A. Denckla verfasserin aut Anne Stevenson verfasserin aut Rocky E. Stroud, II verfasserin aut Jasmine Hall verfasserin aut Linnet Ongeri verfasserin aut Barkot Milkias verfasserin aut Jacob Hoffman verfasserin aut Molly Naisanga verfasserin aut Dickens Akena verfasserin aut Joseph Kyebuzibwa verfasserin aut Edith K. Kwobah verfasserin aut Lukoye Atwoli verfasserin aut Stella Gichuru verfasserin aut Solomon Teferra verfasserin aut Melkam Alemayehu verfasserin aut Zukiswa Zingela verfasserin aut Dan J. Stein verfasserin aut Adele Pretorius verfasserin aut Charles R.J.C. Newton verfasserin aut Rehema M. Mwema verfasserin aut Symon M. Kariuki verfasserin aut Karestan C. Koenen verfasserin aut Bizu Gelaye verfasserin aut In SSM - Mental Health Elsevier, 2021 5(2024), Seite 100300- (DE-627)1776297989 26665603 nnns volume:5 year:2024 pages:100300- https://doi.org/10.1016/j.ssmmh.2024.100300 kostenfrei https://doaj.org/article/97dc99c701c04f769bd2cd6a02ac0064 kostenfrei http://www.sciencedirect.com/science/article/pii/S2666560324000057 kostenfrei https://doaj.org/toc/2666-5603 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 5 2024 100300- |
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10.1016/j.ssmmh.2024.100300 doi (DE-627)DOAJ100347614 (DE-599)DOAJ97dc99c701c04f769bd2cd6a02ac0064 DE-627 ger DE-627 rakwb eng RZ400-408 RA1-1270 Amantia A. Ametaj verfasserin aut Cross-cultural equivalence of the Kessler Psychological Distress Scale (K10) across four African countries in a multi-national study of adults 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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 (R2 = 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. Depression Anxiety Africa Assessment Alignment optimization method Cultural equivalence Mental healing Public aspects of medicine Christy A. Denckla verfasserin aut Anne Stevenson verfasserin aut Rocky E. Stroud, II verfasserin aut Jasmine Hall verfasserin aut Linnet Ongeri verfasserin aut Barkot Milkias verfasserin aut Jacob Hoffman verfasserin aut Molly Naisanga verfasserin aut Dickens Akena verfasserin aut Joseph Kyebuzibwa verfasserin aut Edith K. Kwobah verfasserin aut Lukoye Atwoli verfasserin aut Stella Gichuru verfasserin aut Solomon Teferra verfasserin aut Melkam Alemayehu verfasserin aut Zukiswa Zingela verfasserin aut Dan J. Stein verfasserin aut Adele Pretorius verfasserin aut Charles R.J.C. Newton verfasserin aut Rehema M. Mwema verfasserin aut Symon M. Kariuki verfasserin aut Karestan C. Koenen verfasserin aut Bizu Gelaye verfasserin aut In SSM - Mental Health Elsevier, 2021 5(2024), Seite 100300- (DE-627)1776297989 26665603 nnns volume:5 year:2024 pages:100300- https://doi.org/10.1016/j.ssmmh.2024.100300 kostenfrei https://doaj.org/article/97dc99c701c04f769bd2cd6a02ac0064 kostenfrei http://www.sciencedirect.com/science/article/pii/S2666560324000057 kostenfrei https://doaj.org/toc/2666-5603 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 5 2024 100300- |
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10.1016/j.ssmmh.2024.100300 doi (DE-627)DOAJ100347614 (DE-599)DOAJ97dc99c701c04f769bd2cd6a02ac0064 DE-627 ger DE-627 rakwb eng RZ400-408 RA1-1270 Amantia A. Ametaj verfasserin aut Cross-cultural equivalence of the Kessler Psychological Distress Scale (K10) across four African countries in a multi-national study of adults 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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 (R2 = 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. Depression Anxiety Africa Assessment Alignment optimization method Cultural equivalence Mental healing Public aspects of medicine Christy A. Denckla verfasserin aut Anne Stevenson verfasserin aut Rocky E. Stroud, II verfasserin aut Jasmine Hall verfasserin aut Linnet Ongeri verfasserin aut Barkot Milkias verfasserin aut Jacob Hoffman verfasserin aut Molly Naisanga verfasserin aut Dickens Akena verfasserin aut Joseph Kyebuzibwa verfasserin aut Edith K. Kwobah verfasserin aut Lukoye Atwoli verfasserin aut Stella Gichuru verfasserin aut Solomon Teferra verfasserin aut Melkam Alemayehu verfasserin aut Zukiswa Zingela verfasserin aut Dan J. Stein verfasserin aut Adele Pretorius verfasserin aut Charles R.J.C. Newton verfasserin aut Rehema M. Mwema verfasserin aut Symon M. Kariuki verfasserin aut Karestan C. Koenen verfasserin aut Bizu Gelaye verfasserin aut In SSM - Mental Health Elsevier, 2021 5(2024), Seite 100300- (DE-627)1776297989 26665603 nnns volume:5 year:2024 pages:100300- https://doi.org/10.1016/j.ssmmh.2024.100300 kostenfrei https://doaj.org/article/97dc99c701c04f769bd2cd6a02ac0064 kostenfrei http://www.sciencedirect.com/science/article/pii/S2666560324000057 kostenfrei https://doaj.org/toc/2666-5603 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 5 2024 100300- |
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Amantia A. Ametaj @@aut@@ Christy A. Denckla @@aut@@ Anne Stevenson @@aut@@ Rocky E. Stroud, II @@aut@@ Jasmine Hall @@aut@@ Linnet Ongeri @@aut@@ Barkot Milkias @@aut@@ Jacob Hoffman @@aut@@ Molly Naisanga @@aut@@ Dickens Akena @@aut@@ Joseph Kyebuzibwa @@aut@@ Edith K. Kwobah @@aut@@ Lukoye Atwoli @@aut@@ Stella Gichuru @@aut@@ Solomon Teferra @@aut@@ Melkam Alemayehu @@aut@@ Zukiswa Zingela @@aut@@ Dan J. Stein @@aut@@ Adele Pretorius @@aut@@ Charles R.J.C. Newton @@aut@@ Rehema M. Mwema @@aut@@ Symon M. Kariuki @@aut@@ Karestan C. Koenen @@aut@@ Bizu Gelaye @@aut@@ |
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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. 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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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Cross-cultural equivalence of the Kessler Psychological Distress Scale (K10) across four African countries in a multi-national study of adults |
| 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 (R2 = 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. |
| abstractGer |
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 (R2 = 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. |
| abstract_unstemmed |
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 (R2 = 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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| title_short |
Cross-cultural equivalence of the Kessler Psychological Distress Scale (K10) across four African countries in a multi-national study of adults |
| url |
https://doi.org/10.1016/j.ssmmh.2024.100300 https://doaj.org/article/97dc99c701c04f769bd2cd6a02ac0064 http://www.sciencedirect.com/science/article/pii/S2666560324000057 https://doaj.org/toc/2666-5603 |
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Christy A. Denckla Anne Stevenson Rocky E. Stroud, II Jasmine Hall Linnet Ongeri Barkot Milkias Jacob Hoffman Molly Naisanga Dickens Akena Joseph Kyebuzibwa Edith K. Kwobah Lukoye Atwoli Stella Gichuru Solomon Teferra Melkam Alemayehu Zukiswa Zingela Dan J. Stein Adele Pretorius Charles R.J.C. Newton Rehema M. Mwema Symon M. Kariuki Karestan C. Koenen Bizu Gelaye |
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Christy A. Denckla Anne Stevenson Rocky E. Stroud, II Jasmine Hall Linnet Ongeri Barkot Milkias Jacob Hoffman Molly Naisanga Dickens Akena Joseph Kyebuzibwa Edith K. Kwobah Lukoye Atwoli Stella Gichuru Solomon Teferra Melkam Alemayehu Zukiswa Zingela Dan J. Stein Adele Pretorius Charles R.J.C. Newton Rehema M. Mwema Symon M. Kariuki Karestan C. Koenen Bizu Gelaye |
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RZ - Other Systems of Medicine |
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10.1016/j.ssmmh.2024.100300 |
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2024-07-03T14:10:40.070Z |
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| score |
7.3999805 |