Evidence map›Paper›PMID 42736871›Full record

ArticleHealthcare (Basel, Switzerland)2026

Psychometric Validation of the Kazakh Version of the Patient Health Questionnaire-9 (PHQ-9).

Nursultan Seksenbayev, Timur Moldagaliyev, Lazzat Zhamaliyeva, Akmaral Baspakova, Assel Baibussinova, Nabi Yessimov, Kamila Akkuzinova, Yelaman Toleuov, Shynargul Zhakiyeva, Sandugash Kudaibergenova and 1 more

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Article in Healthcare (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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11 authors.

Nursultan SeksenbayevDepartment of Psychiatry and Narcology, Semey Medical University, Semey 071400, Kazakhstan.ORCID 0000-0001-6276-3546
Timur MoldagaliyevDepartment of Psychiatry and Narcology, Semey Medical University, Semey 071400, Kazakhstan.ORCID 0000-0002-4385-8459
Lazzat ZhamaliyevaDepartment of General Practice No. 2, West Kazakhstan Marat Ospanov Medical University, Aktobe 30012, Kazakhstan.ORCID 0000-0003-3625-3651
Akmaral BaspakovaDepartment of Epidemiology, West Kazakhstan Marat Ospanov Medical University, Aktobe 30012, Kazakhstan.ORCID 0000-0002-0883-2245
Assel BaibussinovaDepartment of Epidemiology and Biostatistics, Semey Medical University, Semey 071400, Kazakhstan.ORCID 0000-0003-3447-6245
Nabi YessimovCaspian International School of Medicine, Caspian University, Almaty 050040, Kazakhstan.ORCID 0000-0001-7827-5125
Kamila AkkuzinovaDepartment of Psychiatry and Narcology, Semey Medical University, Semey 071400, Kazakhstan.ORCID 0000-0002-6294-4168
Yelaman ToleuovDepartment of Psychiatry and Narcology, Semey Medical University, Semey 071400, Kazakhstan.ORCID 0009-0005-0112-3744
Shynargul ZhakiyevaDepartment of General Practice No. 1, West Kazakhstan Marat Ospanov Medical University, Aktobe 30012, Kazakhstan.ORCID 0000-0002-4183-6723
Sandugash KudaibergenovaDepartment of General and Applied Psychology, Al-Farabi Kazakh National University, Almaty 050040, Kazakhstan.ORCID 0000-0001-9297-8089
Ken InoueHealth Service Center, Kochi University, Kochi 780-8520, Japan.ORCID 0000-0002-0710-481X

Funding

Ministry of Science and Higher Education of the Republic of Kazakhstan BR24993083
6 · The paper itself

Abstract

backgroundDepression is a major global health burden, requiring culturally appropriate assessment instruments, but no validated Kazakh-language version of the Patient Health Questionnaire-9 (PHQ-9) is available. This study aimed to translate, culturally adapt, and evaluate the psychometric properties of the Kazakh PHQ-9 in a community-based, non-clinical sample.

methodsThis cross-sectional study included 503 Kazakh-speaking adults (mean age = 24.0 years, SD = 10.1; 51.3% women and 48.7% men) who completed the Kazakh PHQ-9 and Generalized Anxiety Disorder-7 (GAD-7) questionnaires. Internal consistency, structural validity, measurement invariance across genders, and convergent validity were assessed.

resultsInternal consistency was excellent (Cronbach's α = 0.91), and both one-factor and correlated two-factor models showed excellent fit (CFI = 0.998; TLI = 0.997-0.998; RMSEA = 0.046-0.048; SRMR = 0.050-0.052), with a slightly better fit for the latter. Measurement invariance across genders was supported, and PHQ-9 and GAD-7 scores were strongly correlated (r = 0.68,

conclusionsThe Kazakh PHQ-9 demonstrated excellent internal consistency and structural validity, measurement invariance across genders, and strong convergent validity in this non-clinical sample. These findings support its use for assessing depressive symptoms in Kazakh-speaking adults. Clinical validation is needed to establish diagnostic validity and screening performance.

Indexed as

confirmatory factor analysiscross-cultural adaptationdepressive symptoms assessmentKazakh languagemental health assessmentPHQ-9primary carepsychometric validation

Identifiers

PMID42736871
PMCPMC13565277

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.