1. Experience and Reporting of Postnatal Depression Across Cultures: A Comparison Using Anchoring Vignettes of Mothers in the United Kingdom and India.
- Author
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Bluett-Duncan, Matthew, Pickles, Andrew, Chandra, Prabha S, Hill, Jonathan, Kishore, M Thomas, Satyanarayana, Veena, and Sharp, Helen
- Subjects
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MOTHERS , *POSTPARTUM depression , *CONFIDENCE intervals , *SELF-evaluation , *CALIBRATION , *LANGUAGE & languages , *CULTURAL pluralism , *WORLD health , *MENTAL health , *EXPERIENCE , *ETHNOLOGY research , *DATABASE management , *COMPARATIVE studies , *CASE studies , *DIFFERENTIAL item functioning (Research bias) , *QUESTIONNAIRES , *DESCRIPTIVE statistics , *RESEARCH funding , *METROPOLITAN areas , *EPIDEMIOLOGICAL research , *EDINBURGH Postnatal Depression Scale , *PSYCHOSOCIAL factors - Abstract
Postnatal mental health is often assessed using self-assessment questionnaires in epidemiologic research. Differences in response style, influenced by language, culture, and experience, may mean that the same response may not have the same meaning in different settings. These differences need to be identified and accounted for in cross-cultural comparisons. Here we describe the development and application of anchoring vignettes to investigate the cross-cultural functioning of the Edinburgh Postnatal Depression Scale (EPDS) in urban community samples in India (n = 549) and the United Kingdom (n = 828), alongside a UK calibration sample (n = 226). Participants completed the EPDS and anchoring vignettes when their children were 12–24 months old. In an unadjusted item-response theory model, UK mothers reported higher depressive symptoms than Indian mothers (d = 0.48, 95% confidence interval: 0.358, 0.599). Following adjustment for differences in response style, these positions were reversed (d = −0.25, 95% confidence interval: −0.391, −0.103). Response styles vary between India and the United Kingdom, indicating a need to take these differences into account when making cross-cultural comparisons. Anchoring vignettes offer a valid and feasible method for global data harmonization. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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