Validation of an automated wearable camera‐based image‐assisted recall method and the 24‐hour recall method for assessing women’s time allocation in a nutritionally vulnerable population:

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dc.contributor.authorBulungu, L. S. Andrea
dc.contributor.authorPalla, Luigi
dc.contributor.authorPriebe, Jan
dc.contributor.authorForsythe, Lora
dc.contributor.authorKatic, Pamela
dc.contributor.authorVarley, Gwen
dc.contributor.authorGalinda, D. Bernice
dc.contributor.authorNakimuli, Sarah
dc.contributor.authorNambooze, Joweria
dc.contributor.authorWellard, Kate
dc.contributor.authorFerguson, L. Elaine
dc.date.accessioned2025-04-03T10:36:10Z
dc.date.available2025-04-03T10:36:10Z
dc.date.issued2022
dc.descriptionArticle
dc.description.abstractAccurate data are essential for investigating relationships between maternal time‐use patterns and nutritional outcomes. The 24 h recall (24HR) has traditionally been used to collect time‐use data, however, automated wearable cameras (AWCs) with an image‐assisted recall (IAR) may reduce recall bias. This study aimed to evaluate their concurrent criterion validity for assessing women’s time use in rural Eastern Ugandan. Women’s (n = 211) time allocations estimated via the AWC‐IAR and 24HR methods were compared with direct observation (criterion method) using the Bland–Altman limits of agreement (LOA) method of analysis and Cronbach’s coefficient alpha (time allocation) or Cohen’s κ (concurrent activities). Systematic bias varied from 1 min (domestic chores) to 226 min (caregiving) for 24HR and 1 min (own production) to 109 min (socializing) for AWC‐IAR. The LOAs were within 2 h for employment, own production, and self‐care for 24HR and AWC‐IAR but exceeded 11 h (24HR) and 9 h (AWC‐IAR) for caregiving and socializing. The LOAs were within four concurrent activities for 24HR (−1.1 to 3.7) and AWC‐IAR (−3.2 to 3.2). Cronbach’s alpha for time allocation ranged from 0.1728 (socializing) to 0.8056 (own production) for 24HR and 0.2270 (socializing) to 0.7938 (own production) for AWC‐IAR. For assessing women’s time allocations at the population level, the 24HR and AWC‐IAR methods are accurate and reliable for employment, own production, and domestic chores but poor for caregiving and socializing. The results of this study suggest the need to revisit previously published research investigating the associations between women’s time allocations and nutrition outcomes. Keywords: Validation studies; time use; methodology; wearable camera; measurement error; care practices; maternal time
dc.identifier.citationBulungu, A.L.S.; Palla, L.; Priebe, J.; Forsythe, L.; Katic, P.; Varley, G.; Galinda, B.D.; Sarah, N.; Nambooze, J.; Wellard, K.; Ferguson, E.L. Validation of an Automated Wearable Camera‐Based Image‐Assisted Recall Method and the 24‐Hour Recall Method for Assessing Women’s Time Allocation in a Nutritionally Vulnerable Population: The Case of Rural Uganda. Nutrients 2022, 14, 1833. https://doi.org/10.3390/nu14091833
dc.identifier.urihttps://nru.uncst.go.ug/handle/123456789/10334
dc.language.isoen
dc.publisherMDPI Open Access Journals
dc.titleValidation of an automated wearable camera‐based image‐assisted recall method and the 24‐hour recall method for assessing women’s time allocation in a nutritionally vulnerable population:
dc.title.alternativethe case of rural Uganda
dc.typeArticle
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