Determinan Balita Stunting di Jawa Timur: Analisis Data Pemantauan Status Gizi 2017

Laksono, Agung Dwi; Megatsari, Hario

doi:10.31227/osf.io/qh94p

Cited by 2 publications

(2 citation statements)

References 14 publications

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“…Moreover, the exclusive breastfeeding period is part of 1000 first day of life (HPK). [3] [4] In 2018, Indonesia had 30.8% of stunting toddlers, 29.6% in 2017 and 27.54% in 2016. Trend over the last 3 years the prevalence of stunting has increased.…”

Section: Introductionmentioning

confidence: 99%

Mapping Exclusive Breastfeeding Coverage And Toddler Stunting Prevalence In Indonesia Based On Web Geographic Information System

Setyawati

Herlambang

2020

ASSET

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Stunting is a chronic nutritional problem in most of developing countries for quite a long time, including Indonesia. In 2018, Indonesia had 30.8% of stunting toddlers, 29.6% in 2017 and 27.54% in 2016. The trend over the last 3 years the prevalence of stunting has increased. The purpose of this research is to map the spread of stunting toddlers and exclusive breast milk coverage in Indonesia. This research is a cross sectional study using secondary data sourced from reporting compiled by the Ministry of Health of the Republic of Indonesia in 2018. WebGIS is used to compile mappings of both variables in each province through the official website of BPS. The results of this study show the information presented in WebGis seen most provinces have a prevalence of stunting in black zones (very high) and exclusive breast milk coverage in red zones (very less met than national targets).

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Section: Introductionmentioning

confidence: 99%

Mapping Exclusive Breastfeeding Coverage And Toddler Stunting Prevalence In Indonesia Based On Web Geographic Information System

Setyawati

Herlambang

2020

ASSET

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“…Families or households with low and poor economic income have a higher probability of having a stunted toddler. This condition is related to the availability of food in the household (Laksono, Kusrini, and Megatsari, 2021). However, these factors still depend on how the family implements the income they have in meeting the nutritional needs of their children.…”

mentioning

confidence: 99%

Comparison of Indicators of Families at Risk of Stunting in High-Income Regencies and Low-Income Regencies in East Nusa Tenggara Province

Lydia,

Lada,

Roga

2023

j. info kesehat.

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Stunting is a condition of failure to thrive in children due to chronic malnutrition. Early detection of various indicators of families at risk of stunting is an important effort in preventing stunting in the community. This research aims to analyze the comparison of indicators of families at risk of stunting in districts with high per capita income and districts with low per capita income. The Method is secondary data research. The data source is the results of the 2021 National Population and Family Planning Agency (BKKBN) Survey of East Nusa Tenggara Province. The sample size is 878 families divided into 439 families at risk of stunting from high-income districts per capita, and 439 families at risk of stunting from low-income districts. Sampling was carried out by stratification sampling technique or layered sampling. The independent variable is an indicator of a family at risk of stunting, namely the age of the mother, education, fixed income, number of children, sources of drinking water, proper latrines, and habitable houses, and the dependent variable is income per capita in the district where the family lives. The data were identified and statistically analyzed using bivariate Chi-Square test and multivariate logistic regression with a significant p-value <0.05. The result show that the chi-square test mother's age (p = 0.31), mother's education (p=0.77), fixed family income (p=0.00), number of children (p=0.17), availability of water sources clean (p=0.67), healthy latrine ownership (p=0.82), and healthy home ownership (p=0.03). Logistic regression test results for family fixed income (p=0.00), healthy home (p=0.07). The Conclusion is mother's age, mother's education, number of children, availability of clean water sources, ownership of latrines, and healthy homes are the main indicators of the risk of stunting in families. This indicator has no difference between families living in areas with low per capita income, and families living in areas with high incomes.

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Determinan Balita Stunting di Jawa Timur: Analisis Data Pemantauan Status Gizi 2017

Cited by 2 publications

References 14 publications

Mapping Exclusive Breastfeeding Coverage And Toddler Stunting Prevalence In Indonesia Based On Web Geographic Information System

Mapping Exclusive Breastfeeding Coverage And Toddler Stunting Prevalence In Indonesia Based On Web Geographic Information System

Comparison of Indicators of Families at Risk of Stunting in High-Income Regencies and Low-Income Regencies in East Nusa Tenggara Province

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