Evidence map›Paper›PMID 39205915›Full record

ArticlePreventive medicine reports2024

Development of a multidomain gender norm attitude scale for youth in Bangladesh.

Azharul Islam, Musfiqul Anwar Siraji, Mahjabeen Haque, Mohammad Salim Chowdhury

Abstract read
In one paragraph

Article in Preventive medicine reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
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

4 authors.

Azharul IslamDepartment of Educational and Counselling Psychology, University of Dhaka, Bangladesh.
Musfiqul Anwar SirajiDepartment of History and Philosophy, North South University, Bangladesh.
Mahjabeen HaqueDepartment of Educational and Counselling Psychology, University of Dhaka, Bangladesh.
Mohammad Salim ChowdhuryNational Academy for Autism and Neuro-developmental Disabilities (NAAND), Ministry of Education, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Gender norms shape individuals' perceptions and behaviours, particularly concerning health outcomes. However, the lack of comprehensive gender norm attitude measures in low- and middle-income countries, including Bangladesh, impedes gender-transformative efforts. This study introduces the Multidomain Gender Norm Attitude Scale (M-GNAS) to evaluate gender norm attitudes among Bangladeshi youths. Method: Three sequential studies were conducted in Bangladesh in 2022 to develop the M-GNAS. Study 1 engaged 124 participants in focus group discussions, generating a 40-item pool reflecting prevalent gender norms. Study 2 involved 1374 youths (mean age 26.82, SD 5.50) to finalise the M-GNAS items and explore its latent structure through exploratory factor analysis (EFA). Study 3, with 1416 participants of similar age, used confirmatory factor analysis (CFA) to assess structural validity and structural equation modelling to evaluate measurement invariance (MI) across genders. Results: EFA identified a four-domain solution with 13 items: gender-appropriate behaviour, family financial decisions, family responsibility, and career choice. CFA supported this four-domain solution ( Conclusion: The M-GNAS is a psychometrically robust tool for assessing youths' attitudes toward prevalent gender norm domains in Bangladesh. It holds the potential for contributing to gender-transformative programmes and could be applied in similar initiatives across developing nations, contingent upon appropriate validation.

Indexed as

BangladeshGender equalityGender normsScale constructionYouths

Identifiers

PMID39205915
PMCPMC11350248

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.