Measuring Responsive Feeding in Sri Lanka: Development of the Responsive Feeding Practices Assessment Tool

Pallewaththa, Prabhath; Agampodi, Thilini Chanchala; Agampodi, Suneth Buddhika; Pérez‐Escamilla, Rafael; Siribaddana, Sisira

doi:10.1016/j.jneb.2021.02.003

Cited by 10 publications

(12 citation statements)

References 28 publications

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“…The condition of children is at risk of nutritional imbalances and the possibility of nutritional problems including obesity and stunting. This result is in line with the research of Uwiringiyimana et al; Gol et al; Oumer et al; and Pallaluththa et al [24], [30], [38], [39] which explain that the child's ability to choose the type of food is at risk of imbalance in nutritional intake, so assistance and supervision from parents or caregivers are needed.…”

Section: This Opinion Has Similarities With Research Conducted By De ...supporting

confidence: 89%

“…The condition of a healthy baby has an impact on the maximum growth process and prevents nutritional problems such as underweight, stunting, and obesity. The results of this study have been previously researched by Ayelign and Zerfu 2021; Basri et al [29], [38], [39], [45] which explain that breastfeeding immediately after birth can reduce the risk of infection as well as reduce nutritional inequalities in children up to the age of 2 years. While the duration of breastfeeding is 0-6 months and continued until the age of 2 years, the continuity of breastfeeding for <2 years has an impact on the introduction of types and tastes of food early so that children are able to choose flavors according to tastes such as sweet and attractive colors which risk the occurrence of inadequate nutrition [39], [46], [47], [48].…”

Section: This Opinion Has Similarities With Research Conducted By De ...supporting

confidence: 69%

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Analysis of Factors that affect Events and Interventions of Stunting through the E-Stunting Android Application

Masita¹,

Amalia²,

Rahayu³

et al. 2022

Open Access Maced J Med Sci

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Background: Based on the Indonesian Toddler Nutrition Status Survey in 2021, it was found that the stunting rate in Indonesia reached 24.4%, which means there were 5.33 million indicated stunting. Objective: The purpose of this study was to detect the causative factors and effectiveness of stunting interventions in the E stunting application. Methods: The type of the research is quantitative analytic with cross sectional approach using double linear regression analytic test with p = 0.05. The difference test used an unpaired sample test analytic by looking at the difference in mean in the control and treatment groups. The population uses totality sampling with the rule of thumb technique. This research instrument uses a minimum diet diversity questionnaire, diet diversity, parenting model, as well as a questionnaire with a Likert scale and has been through validity and reliability tests. Results: The results of the determinant coefficient test have a relationship between the independent and dependent variables, while Adjusted R2 = 0.803 which means 80.3% of all variables affect the z score in children, while the difference test result obtained a result of sig 2 tailed = 0.001 and the value of Sig Levene's test for equality variance of 0.44 > 0.001 Conclusion: There is an effect of frequency of eating, number of types of food, eating culture, history of breastfeeding, complementary feeding, perception, knowledge of the z score (stunting events). And E stunting is effective in assessing the causative factors and treatment in cases of infants with stunting

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Section: This Opinion Has Similarities With Research Conducted By De ...supporting

confidence: 89%

Section: This Opinion Has Similarities With Research Conducted By De ...supporting

confidence: 69%

Analysis of Factors that affect Events and Interventions of Stunting through the E-Stunting Android Application

Masita¹,

Amalia²,

Rahayu³

et al. 2022

Open Access Maced J Med Sci

View full text Add to dashboard Cite

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“…In this commentary we define RF from an interdisciplinary perspective as “feeding practices that encourage the child to eat autonomously and in response to physiological and developmental needs, which may encourage self‐regulation in eating and support cognitive, emotional and social development” ( 1 – 4 ). This definition is consistent with the RF conceptual frameworks that guided the recent development of RF scales in Cambodia ( 5 ) and Sri Lanka ( 6 ) by 2 independent research groups.…”

Section: Introductionsupporting

confidence: 75%

“…Third, to estimate the impact of RF recommendations on feeding behaviors, it is key to develop pragmatic RF measurement scales that can be applied at the population level and are valid and reliable across countries ( 1 , 2 ). The RF measurement scale studies conducted by Sall et al ( 5 ) in Cambodia and Pallewaththa et al ( 6 ) in Sri Lanka are an important step, but there is a need to examine performance across additional low-, middle-, and high-income countries.…”

Section: Next Steps and Research Recommendationsmentioning

confidence: 99%

Responsive Feeding Recommendations: Harmonizing Integration into Dietary Guidelines for Infants and Young Children

Pérez‐Escamilla

Jimenez

Dewey

2021

Current Developments in Nutrition

Self Cite

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Responsive feeding (RF) involves reciprocal nurturing feeding practices between the caregiver and the child that encourage the child to develop preferences for healthy foods and beverages and to eat autonomously. In this commentary, we summarize RF-related findings from a recent US National Academies of Sciences, Engineering, and Medicine (National Academies) consensus study report examining consistency in infant and young child feeding (IYCF) recommendations in guidelines from high-income countries, and we discuss implications for future IYCF guidelines. Although existing guidelines included generally consistent messages about several RF behaviors, such as the importance of encouraging self-feeding and self-regulation in infants and toddlers, they generally did not present the recommendations as part of a cohesive RF interdisciplinary framework. Moving forward, evidence-based RF recommendations should be routinely incorporated and identified in dietary guidance for IYCF based on a consensus definition of RF grounded in sound responsive parenting and feeding frameworks. We recommend replicating the National Academies’ scoping review in low- and middle- income countries and mixed-methods implementation science research to improve our understanding of how best to disseminate and implement RF-related recommendations across settings (e.g., home and early care and education centers), taking the social determinants of health into account.

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“…Although responsive feeding is a critical component of the Nurturing Care Framework, included as a recommendation in WHO’s guidance on improving early childhood development, and is one of 10 Guiding Principles developed by the Pan American Health Organization and the World Health Organization (WHO) for complementary feeding [ 8 , 9 , 10 , 11 ], there are no global measures for responsive feeding. With the exception of responsive feeding measures developed in Cambodia and Sri Lanka [ 12 , 13 ], most responsive feeding measures for children under age 2 years have been developed in high-income countries. Most have not been validated against observations, the gold standard [ 14 ], and do not include either the distinctions between proximal and distal responsivity inherent in the principles of early learning [ 15 ] or the bidirectional components of responsive feeding [ 16 ]: child signals, caregiver response, and nurturant context [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

Rethinking Responsive Feeding: Insights from Bangladesh

et al. 2022

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Young children’s growth is influenced by food and feeding behavior. Responsive feeding has been shown to promote healthy growth and development, to prevent under- and overfeeding, and to encourage children’s self-regulation. However, most measures of responsive feeding do not incorporate bidirectional mother-infant responsivity or early learning principles and have not been validated against observations. To overcome these gaps, we laid the groundwork for a responsive feeding measure based on a community sample of 67 mothers and their 6–18-month-old children in Bangladesh. Children were weighed and measured. Mothers reported on their child’s dietary intake and responded to a 38-item responsive feeding questionnaire developed through a 2-phase Delphi procedure. Based on a video-recorded feeding observation, mother-child dyads were categorized into proximal (43%) and distal (57%) responsivity groups. Using stepwise logistic regression, a 9-item model from the responsive feeding questionnaire had excellent fit (AUC = 0.93), sensitivity (90%), specificity (89%), positive predictive value (87%), and negative predictive value (93%). Proximal responsivity was characterized by maternal concerns about children’s dietary intake. Distal responsivity was characterized by maternal perception of children’s happy mood during feeding. Findings support responsive feeding as modulating between proximal and distal responsivity, promoting autonomy, self-regulation, and enabling children to acquire and practice healthy eating behaviors.

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Measuring Responsive Feeding in Sri Lanka: Development of the Responsive Feeding Practices Assessment Tool

Cited by 10 publications

References 28 publications

Analysis of Factors that affect Events and Interventions of Stunting through the E-Stunting Android Application

Analysis of Factors that affect Events and Interventions of Stunting through the E-Stunting Android Application

Responsive Feeding Recommendations: Harmonizing Integration into Dietary Guidelines for Infants and Young Children

Rethinking Responsive Feeding: Insights from Bangladesh

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