A self‐applied valid scale for rapid tracking of household food insecurity among pregnant women in Sri Lanka
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Abstract
Rapid household food insecurity (HFI) tracking has been identified as a priority in the context of the COVID‐19 pandemic and its aftermath. We report the validation of the Latin American and Caribbean Food Security Scale ( Escala Latinoamericana y Caribena de Seguridad Alimentaria [ELCSA]) among pregnant women in Sri Lanka. The eight‐item adult version of the ELCSA was translated from English to Sinhala and Tamil. Cognitive testing (on 10 pregnant women and five local experts) and psychometric validation of the self‐administered HFI tool were conducted among pregnant women ( n = 269) attending the special clinics of the Rajarata Pregnancy Cohort (RaPCo) in Anuradhapura in February 2020. We assessed the psychometric properties and fit using a one parameter logistic model (Rasch model analysis) using STATA Version 14 and WINSTEP software Version 4.3.4. Concurrent validity was tested using psychological distress. The scale was internally consistent (Cronbach's alpha = 0.79) and had a good model fit (Rasch items infit statistic range: 0.85 to 1.07). Item 8 (‘did not eat for the whole day’) was removed from the model fit analysis, as it was not affirmed by respondent. Item severity scores ranged from −2.15 for ‘not eating a diverse diet’ to 4.43 for ‘not eating during the whole day’. Concurrent validity between HFI and psychological distress was confirmed ( r = 0.15, p < 0.05). The self‐applied version of ELCSA‐pregnancy in Sri Lanka (ELCSA‐P‐SL) is a valid and feasible valid tool. We recommend it to track HFI among pregnant women in lower income countries during the COVID‐19 pandemic.
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SciScore for 10.1101/2020.09.22.20199380: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
NIH rigor criteria are not applicable to paper type.Table 2: Resources
Software and Algorithms Sentences Resources We assessed internal consistency, psychometric properties and fit using a one parameter logistic model (Rasch analysis) using STATA version 14. STATAsuggested: (Stata, RRID:SCR_012763)Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.Results from TrialIdentifier: No clinical trial numbers were …
SciScore for 10.1101/2020.09.22.20199380: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
NIH rigor criteria are not applicable to paper type.Table 2: Resources
Software and Algorithms Sentences Resources We assessed internal consistency, psychometric properties and fit using a one parameter logistic model (Rasch analysis) using STATA version 14. STATAsuggested: (Stata, RRID:SCR_012763)Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.Results from TrialIdentifier: No clinical trial numbers were referenced.
Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
Results from JetFighter: We did not find any issues relating to colormaps.
Results from rtransparent:- Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
- Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
- No protocol registration statement was detected.
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