Search

Background: Body image is a subjective concept encompassing a person's views and emotions about their body. Head and neck cancer (HNC) diagnosis and treatment affects several psychosocial concepts including body image. Large numbers of HNC patients are diagnosed each year in India but there are no suitable measures in regional languages to assess their body image. This study assessed the psychometric properties of the Body Image Scale (BIS), a measure suitable for clinical and research use in HNC populations, translated into Tamil, Telugu and Hindi and compared body image distress between language groups. Methods: Translated versions of BIS were completed by HNC patients recruited from three cancer centers across India one time only. Psychometric evaluation was conducted including factor analysis using principal component analysis and internal consistency reliability using Cronbach's alpha. Patients completed the EORTC Quality of Life Questionnaire (QLQ) C-30 and EORTC QLQ HN-35 measures to enable exploration of convergent and discriminant validity. ANOVA was used to calculate difference in mean values for body image. Results: Our sample included 621 HNC patients (Tamil = 205, Telugu = 216, Hindi = 200). Factor analysis revealed a one-factor solution and Cronbach's alpha coefficients ranged between 0.891 and 0.969 indicating good reliability. Hypothesized correlations between similar and different constructs were as expected, supporting construct validity. On the BIS, we found a statistically significant difference (F = 11.0954, P < 0.05) between means of Tamil, Telugu, and Hindi groups, with higher body image scores in Telugu (M = 12.86; SD = 7.65) and Hindi groups (M = 12.52; SD = 7.36) indicating more symptoms/body image distress, when compared to Tamil population (M = 9.28; SD = 10.04). Conclusion: The reliability and validity of the three translated Indian versions of the BIS were maintained, providing a method for assessing body image of HNC population worldwide speaking Tamil, Telugu, and Hindi across the illness trajectory. [ABSTRACT FROM AUTHOR]

Background: Head and neck cancers (HNC) are one of the most traumatic forms of cancer because they affect essential aspects of life such as speech, swallowing, eating and disfigurement. HNCs are common in India, with over 100,000 cases being registered each year. HNC and treatment are both associated with considerable anxiety and depression. With increasing multinational research, no suitable measures in Indian languages are available to assess anxiety and depression in Indian HNC patients. This study evaluated the psychometric properties of cross-culturally adapted versions of Zung's self-rating Anxiety Scale (SAS) and the Patient health questionnaire – 9 (PHQ-9) in Tamil, Telugu and Hindi speaking Indian HNC populations. Methods: HNC patients were recruited from three tertiary cancer centres in India. Patients completed the cross-culturally adapted versions of SAS and PHQ-9. We assessed targeting, scaling assumptions, construct validity (exploratory and confirmatory factor analyses), convergent validity, and internal consistency reliability. Results: The study sample included 205 Tamil, 216 Telugu and 200 Hindi speaking HNC patients. Exploratory and confirmatory factor analyses indicated a two-factor solution for PHQ-9 and four-factor solution for SAS in all three languages. Cronbach's alpha coefficients ranged between 0.717 and 0.890 for PHQ-9 and between 0.803 and 0.868 for SAS, indicating good reliability. Correlations between hypothesized scales were as expected providing evidence towards convergent validity. Conclusions: This first psychometric evaluation of the measurement properties of Tamil, Telugu and Hindi versions of the SAS and PHQ-9 in large, Indian HNC populations supported their use as severity and outcome measures across the disease and treatment continuum. [ABSTRACT FROM AUTHOR]

Background: Head and neck cancers (HNC) and their treatments cause dysfunction and distress. Ongoing psychological assessment using disease-specific patient-reported measures may optimize clinical decision-making, facilitate interventions to reduce psychosocial burden. As most such measures are developed in English, non-English speaking patients are disadvantaged. This study translated HNC-specific measures (Body Image Scale, Patient Concerns Inventory, Zung's Self-Rating Anxiety and Depression Scales and Patient Health Questionnaire-9) into three Indian languages (Hindi, Tamil and Telugu) and linguistically validated them., Methods: Translation followed established guidelines on translation and linguistic validation of measures. Process involved two independent forward translations, reconciliation, two independent backward translations by bilingual experts, and cognitive debriefing interviews with nine healthcare professionals (HCPs) and 29 HNC patients. Translated versions were compared with the original versions for semantic, cultural and conceptual equivalence., Results: Overall, 17 Hindi items, 19 Tamil items and 13 Telugu items were identified to have semantic, cultural and/or conceptual issues. These were resolved to achieve equivalence with the original measures. Interviews with HCPs indicated that equivalent terms for words such as anxiety, panicky, sexuality, and self-conscious might be difficult to understand. Interviews with patients indicated all items were understandable, easy, sensitive, unambiguous and relevant. Hence, no further revisions were made., Conclusions: The translated Hindi, Tamil and Telugu versions of the Body image scale, Patient concerns inventory, Zung's self-rating anxiety and depression scales and Patient health questionnaire-9 measures are conceptually and linguistically validated and equivalent with the original English versions. Psychometric validation of these measures with relevant patient populations is needed., (© 2021. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)