Analisis Faktor Risiko Ibu Dan Anak Balita Terhadap Stunting Di Wilayah Kerja Puskesmas Sangurara,  Kecamatan Tatanga, Palu

Azis, Rahmawati; Rifai, Muhammad; Setiahati, Ni Ketut

doi:10.31004/prepotif.v5i2.1882

Cited by 2 publications

(2 citation statements)

References 12 publications

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“…That is, the higher percentage of mothers who do not attend formal education, the lower prevalence of stunting in these locations. This is in contrast to research conducted by Azis et al (2021) which showed that risk factors for maternal education affect the incidence of stunting with a risk of 5,5 times. Tatu et al (2021) also analyzed the risk factors associated with the incidence of stunting, and the researchers stated that the higher the education level of parents, especially mothers, the greater their ability to absorb the information obtained, especially regarding nutrition in children.…”

Section: 𝐽𝐵 = 𝑛 [contrasting

confidence: 94%

Map Distribution of Factors Affecting Stunting in East Nusa Tenggara

Abdila,

Fitriani,

Soehono

2023

EDAJ

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Stunting is chronic malnutrition in children under five years of age, which results in disturbances in the growth and development of children. Several factors, such as economic, health, and environmental factors, can influence stunting. In this study, a distribution map of the factors influencing stunting in East Nusa Tenggara districts/cities will be formed using Geographically Weighted Regression with a Spatial Lag of X. The variables used are the percentage of infants under two years who are breastfed, the percentage of toddlers who receive complete immunization, the percentage of households that do not use defecation facilities, the percentage of mothers who do not attend formal education, the GRDP growth rate, actual expenditure per capita, and the newly formed variable, namely GRDP growth rate around the i-th observation locations. From the results, it can be concluded that the western part of East Nusa Tenggara has unaffected economic factors, and the eastern part is an area where almost all variables are influential. Only the percentage of mothers who do not attend formal education has no effect, and the northern part is an area with economic factors which has an effect. The southern part is an area with child health factors that have no effect

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Section: 𝐽𝐵 = 𝑛 [contrasting

confidence: 94%

Map Distribution of Factors Affecting Stunting in East Nusa Tenggara

Abdila,

Fitriani,

Soehono

2023

EDAJ

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“…Hal ini sejalan dengan temuan penelitian. 23 Hal ini menunjukkan bahwa hingga 40 orang (62%) wanita hamil tidak berisiko. Kondisi kehamilan ibu dipengaruhi oleh usia ibu pada saat pembuahan karena selain terkait dengan perkembangan organ reproduksi, juga terkait dengan keadaan psikologis, khususnya kesiapan menerima kehamilan.…”

Section: Gambaran Umur Ibu Saat Hamil Tahun 2021 DI Desa Kepyar Kecam...unclassified

Factor associated with Stunting Incidents in Kepyar Village, Purwantoro District, Wonogiri Regency in 2021

Shorayasari

Wati²,

Nurrika³

2022

AMNT

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Background: The WHO-MGRS (Multicenter Growth Reference Study) recommendations based on the height for age index define stunting as a condition in which the body is short or extremely short. The incidence of stunting among children under five is predicted to reach 21.9% in 2020 by the World Health Organization (WHO). Stunting affects 149.0 million children, who run the risk of developing stunted growth, poor brain development, lower IQ, and disease vulnerability. Objectives: The study aimed to find out the variables associated with the incidence of stunting in 2021 in Kepyar Village, Purwantoro District, Wonogiri Regency. Methods: The research design was case-control with a ratio of 1:1 consisting of 22 samples from cases and 22 samples from controls. 22 individuals who were not deemed to be at risk of suffering stunting made up the control sample for toddlers. Between November 2021 and January 2022, the study was carried out. Low birth weight (LBW), birth length, exclusive breastfeeding, mother's last educational level, mother's height, socioeconomic status, accessibility to weaning food, early breastfeeding initiation, and also considered the mother's age at conception were all independent variables. The dependent variable is stunting, which can be either chronic or mild to severe (-2 SD). Fisher's Exact Test was used to analyze this study. Results: The majority of children were not LBW (90.9%), followed by normal birth length (81.8%), exclusive breastfeeding (56.8%), low education level of the mother (72.7%), mother's height was not at risk (72.7%), early breastfeeding initiation (63.6%), low socioeconomic status (63.6%), proper weaning food (77.3%), and maternal age during pregnancy is not at risk (54.5%). Early initiation of breastfeeding and stunting incidents showed a statistically significant association (p-value of 0.005), then there was also a relationship between socioeconomic status and stunting incidents (p-value of 0.028). Conclusions: Socioeconomic status and early initiation of breastfeeding are associated with stunting incidents. To lower the frequency of stunting in Kepyar Village, early initiation of breastfeeding promotion needs to be optimized.

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Analisis Faktor Risiko Ibu Dan Anak Balita Terhadap Stunting Di Wilayah Kerja Puskesmas Sangurara, Kecamatan Tatanga, Palu

Cited by 2 publications

References 12 publications

Map Distribution of Factors Affecting Stunting in East Nusa Tenggara

Map Distribution of Factors Affecting Stunting in East Nusa Tenggara

Factor associated with Stunting Incidents in Kepyar Village, Purwantoro District, Wonogiri Regency in 2021

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