Evidence map›Paper›PMID 42654260›Full record

ArticleNutrients2026

A Mixed-Method Study of Unhealthy Feeding Practices Among Mothers of Children Aged 6-23 Months from an Internally Displaced Person Camp, Kayin State, Myanmar.

Htet Zaw Shein, Napaphan Viriyautsahakul, Shuhei Nomura, Wandee Sirichokchatchawan

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Article in Nutrients, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Htet Zaw SheinCollege of Public Health Sciences, Chulalongkorn University, Bangkok 10300, Thailand.ORCID 0009-0002-6603-8311
Napaphan ViriyautsahakulCollege of Public Health Sciences, Chulalongkorn University, Bangkok 10300, Thailand.ORCID 0000-0003-2461-2311
Shuhei NomuraGlobal Health Policy Lab, International Research Institute of Disaster Science (IRIDeS), Tohoku University, 468-1 Aoba, Aramaki, Aoba-ku, Sendai 980-8572, Miyagi, Japan.ORCID 0000-0002-2963-7297
Wandee SirichokchatchawanCollege of Public Health Sciences, Chulalongkorn University, Bangkok 10300, Thailand.ORCID 0000-0002-4502-1425

Funding

Thailand Science Research and Innovation HEA_FF_69_234_5300_004
6 · The paper itself

Abstract

BACKGROUND/

objectivesConflict-driven displacement can disrupt food environments, health services, and caregiver practices, increasing the risk of unhealthy feeding behaviors among young children. Evidence from ethnic internally displaced populations (IDPs) in Myanmar remains scarce. This study examined the prevalence and determinants of unhealthy feeding practices among IDP mothers of children aged 6-23 months.

methodsA sequential explanatory mixed-method study was conducted among 617 mothers in Karen ethnic IDP camps in Myanmar. Structured interviews were used to assess mother-reported zero vegetable or fruit consumption (ZVF) and unhealthy food consumption (UFC) among children, and multivariable logistic regression identified associated factors. Subsequently, six focus group discussions explored contextual influences on feeding practices and were analyzed via thematic analysis. The findings were integrated using a joint display approach.

resultsA total of 29.2% of children experienced ZVF, while 57.5% consumed unhealthy foods. Mothers who attended fewer than the recommended antenatal care (ANC) visits were more likely to report both ZVF (AOR = 1.968, 95% CI: 1.297-2.988) and UFC (AOR = 1.830, 95% CI: 1.265-2.649). Higher maternal decision-making autonomy was also associated with increased odds of ZVF (AOR = 1.757, 95% CI: 1.031-2.995) and UFC (AOR = 1.606, 95% CI: 1.040-2.481). Other associated factors included child age, household income, family structure, paternal employment, and household dietary practices. Qualitative findings identified six themes influencing feeding practices: "familiarity breeds acceptance", "traditional beliefs and food restrictions", "constrained local food environments", "time constraints and convenience feeding", "preference for sweet foods", and "disrupted access to health and nutrition services".

conclusionsUnhealthy feeding practices were common in this displaced population. Greater maternal decision-making autonomy was not necessarily associated with healthier feeding practices, highlighting the importance of nutrition literacy and supportive food environments. Community-based nutrition interventions may help improve complementary feeding practices in conflict-affected settings.

Indexed as

DietFeeding BehaviorMothersRefugeesAdultFemaleHealth Knowledge, Attitudes, PracticeHumansInfantInfant Nutritional Physiological PhenomenaMaleMyanmarcomplementary feedinginfant and young child feedinginternally displaced personsmaternal decision-making autonomyMyanmarnutrition transitionunhealthy feeding practices

Identifiers

PMID42654260
PMCPMC13516155

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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.