Tiwari, Shyam Sundar
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Examining the Influence of Maternal Education, Nutritional Knowledge, and Toddler Food Intake on Nutritional Status Muhasriady, Muhasriady; Tiwari, Shyam Sundar
Journal of Health Innovation and Environmental Education Vol. 1 No. 2 (2024): December
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/jhiee.v1i2.1211

Abstract

Purpose of the study: The purpose of this study was to determine the relationship between the level of maternal education, the level of maternal nutritional knowledge and the food intake of toddlers on the nutritional status of toddlers. Methodology: This type of research is an analytical survey with a cross-sectional design. The sample in this study was 54 toddlers obtained using random sampling techniques. The instruments used were questionnaires, 24-hour recall forms, foot scales and height measuring tapes or microtoises. The data obtained in this study were processed using chi-square test statistics. Main Findings: There is a relationship between the level of maternal education and the nutritional status of toddlers with a P value = 0.203 based on BB/A and a P value = 0.847 based on the TB/A index, the level of maternal nutritional knowledge on the nutritional status of toddlers with a P value = 0.990 based on the BB/A index and a P value = 0.171 based on the TB/A index. There is no relationship between food intake and the nutritional status of toddlers in Tamangapa Village, Manggala District, Makassar City with a P value = 0.004 based on energy intake with nutritional status BB/A and a P value = 0.006 TB/A. Novelty/Originality of this study: As a reference material for health workers and the government so that they can provide information and direction to the community, especially mothers, to pay attention to food intake and the development of the nutritional status of their toddlers.
Redefining Early Childhood Growth and Development Surveillance: A Sustainable, Technology-Integrated Primary Care Ecosystem Linking Maternal Health Literacy, Digital Monitoring, and Predictive Analytics Suryadinata, M Agus; Tiwari, Shyam Sundar; Girma, Abel; Mpemba, Faraja
Journal of Health Innovation and Environmental Education Vol. 3 No. 1 (2026): June (On Going)
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/jhiee.v2i2.2686

Abstract

Purpose of the study: This study aimed to analyze the relationships between maternal health literacy, digital monitoring utilization, growth and development surveillance behavior, and early developmental risk detection among mothers of toddlers. Methodology: A mixed-methods sequential explanatory design was employed at Arosbaya Public Health Center, Bangkalan, Indonesia. The quantitative phase involved a cross-sectional survey of 210 mothers with children under five years old. Data were analyzed using structural equation modeling–partial least squares (SEM-PLS) to examine relationships among variables. The qualitative phase consisted of in-depth interviews with mothers, healthcare workers, and community health volunteers to provide contextual explanations for the quantitative findings. Thematic analysis was used to interpret qualitative data. Main Findings: Maternal health literacy significantly influenced digital monitoring utilization (β = 0.54, p < 0.001) and surveillance behavior (β = 0.32, p = 0.002). Digital monitoring utilization significantly affected surveillance practices (β = 0.41, p < 0.001) and early developmental risk detection (β = 0.29, p = 0.004). Growth and development surveillance behavior demonstrated the strongest association with early risk detection (β = 0.46, p < 0.001). Qualitative findings revealed mothers who possessed higher health literacy were more capable of interpreting child development information and were more likely to utilize digital tools for monitoring their children’s growth. Novelty/Originality of this study: This study integrates maternal health literacy, digital monitoring utilization, and child growth surveillance behavior within a mixed-methods framework, providing a multidimensional understanding of early developmental risk detection in primary healthcare settings.