Evidence map›Paper›PMID 35645858›Full record

ArticleFrontiers in psychology2022

Body Image Scale: Evaluation of the Psychometric Properties in Three Indian Head and Neck Cancer Language Groups.

Chindhu Shunmugasundaram, Haryana M Dhillon, Phyllis N Butow, Puma Sundaresan, Mahati Chittem, Niveditha Akula, Surendran Veeraiah, Nagraj Huilgol, Claudia Rutherford

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In one paragraph

Article in Frontiers in psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 34% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 5 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 2 countries.

Chindhu ShunmugasundaramCentre for Medical Psychology and Evidence-Based Decision-Making, School of Psychology, Faculty of Science, The University of Sydney, Sydney, NSW, Australia.
Haryana M DhillonCentre for Medical Psychology and Evidence-Based Decision-Making, School of Psychology, Faculty of Science, The University of Sydney, Sydney, NSW, Australia.
Phyllis N ButowCentre for Medical Psychology and Evidence-Based Decision-Making, School of Psychology, Faculty of Science, The University of Sydney, Sydney, NSW, Australia.
Puma SundaresanRadiation Oncology Network, Western Sydney Local Health District, Sydney, NSW, Australia.
Mahati ChittemDepartment of Liberal Arts, Indian Institute of Technology Hyderabad, Sangareddy, India.
Niveditha AkulaDepartment of Liberal Arts, Indian Institute of Technology Hyderabad, Sangareddy, India.
Surendran VeeraiahDepartment of Psycho-Oncology, Cancer Institute (WIA), Chennai, India.
Nagraj HuilgolDivision of Radiation Oncology, Nanavati Super Speciality Hospital, Mumbai, India.
Claudia RutherfordQuality of Life Office, School of Psychology, Faculty of Science, The University of Sydney, Sydney, NSW, Australia.
University of Sydney · AUIndian Institute of Technology Hyderabad · INCancer Institute (WIA) · INDr. Balabhai Nanavati Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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 ( 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.

Indexed as

body imagecross-cultural adaptationhead and neck cancerIndian languagesvalidation

Identifiers

PMID35645858
PMCPMC9135105
OpenAlexW4283379111

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LicenceCC BY
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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.