Translation, cultural adaptation, and preliminary psychometric evaluation of the Bengali version of the Oral Health Impact Profile-14 (OHIP-14bn)

Oral health-related quality of life (OHRQoL) instruments require linguistic translation, cultural adaptation, and psychometric testing before use in new populations. Bengali is widely spoken, but a Bengali version of the Oral Health Impact Profile-14 (OHIP-14) has not yet undergone adequate psychometric evaluation. This study translated, culturally adapted, and evaluated the preliminary psychometric properties of the Bengali OHIP-14 (OHIP-14bn). A cross-sectional study was conducted among 210 Bengali-speaking adult patients attending a teaching dental hospital. The OHIP-14 was translated using forward translation and blinded back-translation, followed by qualitative expert review. Participants completed the OHIP-14bn including questions on dental pain, dental attendance, and sociodemographic characteristics and underwent clinical oral examination. Item responses were recoded to a 0–4 scale and summed to generate a total score of 0–56. Internal consistency was assessed using Cronbach’s alpha, McDonald’s omega total, corrected item-total correlations, and alpha-if-item-deleted analyses. Structural validity was evaluated using exploratory factor analysis and ordinal confirmatory factor analysis comparing single-factor, higher-order seven-domain, and correlated seven-domain models. Hypothesis-based construct validity was assessed using known-groups comparisons and clinical correlations. The mean OHIP-14bn total score was 20.63 ± 8.73, and the median was 21.00 (IQR, 15.25–26.00). Cronbach’s alpha was 0.924, McDonald’s omega total was 0.948, and corrected item-total correlations ranged from 0.463 to 0.749. Exploratory factor analysis supported a dominant general factor explaining 56.5% of the variance, with loadings of 0.596–0.830. The higher-order seven-domain model demonstrated satisfactory fit (CFI = 0.997, TLI = 0.996, RMSEA = 0.047, SRMR = 0.058), whereas the single-factor model showed mixed fit and the correlated seven-domain model produced an improper solution. OHIP-14bn scores were higher among participants reporting oral pain, requiring partial dentures, or requiring pulp care. The OHIP-14bn demonstrated strong internal consistency and preliminary evidence of structural and hypothesis-based construct validity in this single-site, treatment-seeking clinical sample. Because the sample was predominantly rural and male and 90.5% required pulp care, generalizability beyond similar Bengali-speaking clinical populations is limited. Broader use requires cognitive debriefing with intended respondents, quantitative content-validity assessment, test–retest reliability, responsiveness testing, and independent confirmation of the factor structure.

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Journal
BMC Oral Health
Published
2026-10-28
DOI
https://doi.org/10.1186/s12903-026-10253-1
Primary Topic
Dental Health and Care Utilization
Type
article
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article

Translation, cultural adaptation, and preliminary psychometric evaluation of the Bengali version of the Oral Health Impact Profile-14 (OHIP-14bn)

Sucharu Ghosh, Prantik Nandi, Sangeeta Gajendra, Sudipto Sahu et al.
BMC Oral Health
Dental Health and Care Utilization
article

Translation, cultural adaptation, and preliminary psychometric evaluation of the Bengali version of the Oral Health Impact Profile-14 (OHIP-14bn)

Sucharu Ghosh, Prantik Nandi, Sangeeta Gajendra, Sudipto Sahu, Changyong Feng, Shlomo Paul Zusman
article en

Abstract

Oral health-related quality of life (OHRQoL) instruments require linguistic translation, cultural adaptation, and psychometric testing before use in new populations. Bengali is widely spoken, but a Bengali version of the Oral Health Impact Profile-14 (OHIP-14) has not yet undergone adequate psychometric evaluation. This study translated, culturally adapted, and evaluated the preliminary psychometric properties of the Bengali OHIP-14 (OHIP-14bn). A cross-sectional study was conducted among 210 Bengali-speaking adult patients attending a teaching dental hospital. The OHIP-14 was translated using forward translation and blinded back-translation, followed by qualitative expert review. Participants completed the OHIP-14bn including questions on dental pain, dental attendance, and sociodemographic characteristics and underwent clinical oral examination. Item responses were recoded to a 0–4 scale and summed to generate a total score of 0–56. Internal consistency was assessed using Cronbach’s alpha, McDonald’s omega total, corrected item-total correlations, and alpha-if-item-deleted analyses. Structural validity was evaluated using exploratory factor analysis and ordinal confirmatory factor analysis comparing single-factor, higher-order seven-domain, and correlated seven-domain models. Hypothesis-based construct validity was assessed using known-groups comparisons and clinical correlations. The mean OHIP-14bn total score was 20.63 ± 8.73, and the median was 21.00 (IQR, 15.25–26.00). Cronbach’s alpha was 0.924, McDonald’s omega total was 0.948, and corrected item-total correlations ranged from 0.463 to 0.749. Exploratory factor analysis supported a dominant general factor explaining 56.5% of the variance, with loadings of 0.596–0.830. The higher-order seven-domain model demonstrated satisfactory fit (CFI = 0.997, TLI = 0.996, RMSEA = 0.047, SRMR = 0.058), whereas the single-factor model showed mixed fit and the correlated seven-domain model produced an improper solution. OHIP-14bn scores were higher among participants reporting oral pain, requiring partial dentures, or requiring pulp care. The OHIP-14bn demonstrated strong internal consistency and preliminary evidence of structural and hypothesis-based construct validity in this single-site, treatment-seeking clinical sample. Because the sample was predominantly rural and male and 90.5% required pulp care, generalizability beyond similar Bengali-speaking clinical populations is limited. Broader use requires cognitive debriefing with intended respondents, quantitative content-validity assessment, test–retest reliability, responsiveness testing, and independent confirmation of the factor structure.

BMC Oral Health
Lincoln Medical Center (US), West Bengal University of Health Sciences (IN), University of Rochester Medical Center (US), University of Rochester (US)
Good health and well-being
Openalex Percentile: Top 10%
Dental Health and Care Utilization
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