Risk Of Stunting Research Articles

Predicting stunting in Rwanda using artificial neural networks: a demographic health survey 2020 analysis

Background Stunting is a serious public health concern in Rwanda, affecting around 33.3% of children under the age of five in 2020. Several examples of research have employed machine learning algorithms to predict stunting in Rwanda; however, no study used artificial neural networks (ANNs), despite their strong capacity to predict stunting. The purpose of this study was to predict stunting in Rwanda using ANNs and the most recent Demographic and Health Survey (DHS) data from 2020. Methods We used a multilayer perceptron (MLP) architecture to train and test the ANN model on a subset of the DHS dataset. The input variables for the model included child, parental and socio-demographic’s characteristics. The output variable was a binary indicator of stunting status (stunted vs. not stunted). Results An overall accuracy of 72.0% on the test set was observed, with an area under the receiver operating characteristic curve (AUC-ROC) of 0.84, indicating the model’s good performance. Several factors appear as important contributors to the probability of stunting among the negative value aspects. First and foremost, the mother’s height is important, as a lower height suggests an increased risk of stunting in children. Positive value characteristics, on the other hand, emphasie elements that reduce the likelihood of stunting. The timing of the initiation of breastfeeding stands out as a crucial factor, showing that early breastfeeding initiation has been linked with a decreased risk of stunting. Conclusions Our findings suggest that ANNs can be a useful tool for predicting stunting in Rwanda and identifying the most important associated factors for stunting. These insights can inform targeted interventions to reduce the burden of stunting in Rwanda and other low- and middle-income countries.

Hubungan Faktor Sanitasi, Ibu, dan Ekonomi Keluarga dengan Kejadian Stunting pada Balita di Puskesmas Sungai Tering Kabupaten Tanjung Jabung Timur

Stunting can be caused by direct and indirect factors. The aim of the study was to determine the factors associated with the incidence of stunting in toddlers in the working area of the Sungai Tering Public Health Center, East Tanjung Jabung Regency.The type of the research is cross sectional study. Data was collected in the working area of the Sungai Tering Community Health Center, East Tanjung Jabung Regency, with a total sample of 157 toddlers aged 24-59 months. The variables studied are environmental sanitation, maternal, and family economy factor. Stunting was measured by TB/U (Height-for-age) < -2 SD, Chi-Square analysis and logistic regression.The proportion of stunting under five is 26.1%. There is a relationship between enviromental sanitation that is house conditions, mother factor that are knowledge and parity with stunting. There is no correlation between economics factor with stunting. The dominant factor is the age of the mother during pregnancy who was relatively young (<20 years) (POR 6.04; 95% CI 0.77-47.19) after controlling for the variables of clean water facilities, house conditions, mother's knowledge, age of first mother married, parity , spacing of pregnancies, and family income. Maternal age during pregnancy <20 is the dominant factor causing the risk of stunting. It is recommended that people avoid early marriage and if it has already happened, it is best to postpone pregnancy with contraception until the ideal gestational age is > 20 - < 35 years.

Prevalence and Correlates of Stunting among a High-Risk Population of Kenyan Children Recently Hospitalized for Acute Illnesses.

Stunting (length/height-for-age z-score <-2) is associated with significant morbidity and mortality among children under 5 years of age in sub-Saharan Africa. Children who are stunted and recently hospitalized for acute illness may be at particularly elevated risk for post-discharge mortality. In this cross-sectional analysis, we measured the prevalence of stunting at hospital discharge and identified host, caregiver, and environmental correlates of stunting among children aged 1-59 months in Western Kenya enrolled in the Toto Bora Trial. Child age- and site-adjusted prevalence ratios were estimated using Poisson regression. Of the 1,394 children included in this analysis, 23% were stunted at hospital discharge. Older children (12-23 months and 24-59 months versus 0-5 months) had a higher prevalence of stunting (adjusted prevalence ratio [aPR]: 1.58; 95% CI: 1.04-2.36 and aPR: 1.59; 95% CI: 1.08-2.34, respectively). HIV-exposed, uninfected children (aPR: 1.94; 95% CI: 1.39-2.70), children with HIV infection (aPR: 2.73; 95% CI: 1.45-5.15), and those who were never exclusively breastfed in early life (aPR 2.51; 95% CI: 1.35-4.67) were more likely to be stunted. Caregiver education (primary school or less) and unimproved sanitation (pit latrine without slab floor or open defecation) were associated with increased risk of stunting (aPR: 1.94; 95% CI: 1.54-2.44; aPR: 1.99; 95% CI: 1.20-3.31; aPR: 3.57; 95% CI: 1.77-7.21, respectively). Hospital discharge represents an important opportunity for both identifying and delivering targeted interventions for nutrition-associated poor outcomes among a high-risk population of children.

Analisa Pemberian Asupan Protein Dan Asupan Zinc Pada Balita Stunting

Background: Stunting is a chronic malnutrition condition caused by insufficient nutritional intake over a long period of time due to feeding that is not in accordance with nutritional needs. The incidence of stunting is influenced by several factors, one of which is nutritional intake. Providing insufficient nutritional intake can increase the risk of stunting in toddlers. Research Objective: To determine the description of protein intake and zinc intake in toddlers with the incidence of stunting. Research Methods: The study used a cross-sectional design. In this study using the sampling technique Total Sampling with a sample size of 45 mothers who have toddlers with stunting incidence. Data collection using Food Recall and Microtoise questionnaires.Research Results: Based on the results of the study, it was found that almost all toddlers with stunting had insufficient protein consumption while for zinc intake itself all toddlers with stunting had insufficient zinc consumption.

Hubungan Keragamanan Makanan dengan Status Gizi Balita Usia 1-5 Tahun

Food diversity is a major problem for all developing countries, including Indonesia. Dietary diversity is associated with the risk of stunting and other nutritional problems. Stunting will have a negative impact on children's thinking, memory, school performance and work productivity in the future. In an effort to reduce the high stunting rate in Sumberwungu Village, the Government was distributing additional food in the form of snacks but it was not in accordance with nutritional needs. The aim of this research was to determine whether the nutritional status of toddlers aged 1-5 years was related to diversity in Sumberwungu Village, Tepus, Gunung Kidul, Yogyakarta. This type of research uses a retrospective methodology and is an analytical observational study. The sample in the research was 34 toddlers who experienced nutritional problems. Food diversity data was collected using the IDDS questionnaire with a non-consecutive 2x24 hour recall method. The data analysis used in this research is univariate and bivariate analysis. Bivariate analysis in this study uses the Kendal-Tau test to determine the relationship between food diversity and the nutritional status of toddlers. The results of data analysis showed that there was no relationship between food diversity and nutritional status in toddlers aged 1-5 years (z score BB/U p= 0.898, z score TB/U p= 0.941, and z score BB/TB p= 0.913).

Analysis of Determinants of Stunting and Identifications of Stunting Risk Profiles Among Under 2-Year-Old Children in Ethiopia. A Latent Class Analysis.

Childhood stunting has a long-term impact on cognitive development and overall well-being. Understanding varying stunting profiles is crucial for targeted interventions and effective policy-making. Therefore, our study aimed to identify the determinants and stunting risk profiles among 2-year-old children in Ethiopia. A cross-sectional study was conducted on 395 mother-child pairs attending selected public health centers for growth monitoring and promotion under 5 outpatient departments and immunization services. The data were collected by face-to-face interviews, with the anthropometric data collected using the procedure stipulated by the World Health Organization. The data were entered using Epi Data version 4.6 and exported to STATA 16 and Jamovi version 2.3.28 for analysis. Bayesian logistic regression analysis was conducted to identify potential factors of stunting. Likewise, lifecycle assessment analysis (LCA) was used to examine the heterogeneity of the magnitude of stunting. The overall prevalence of stunting in children under 24 months was 47.34% (95% confidence interval (CI): 42.44-52.29%). The LCA identified 3 distinct risk profiles. The first profile is Class 1, which is labeled as low-risk, comprised 23.8% of the children, and had the lowest prevalence of stunting (23.4%). This group characterized as having a lower risk to stunting. The second profile is Class 2, which is identified as high-risk, comprised 47.1%, and had a high prevalence of stunting (66.7%), indicating a higher susceptibility to stunting compared to Class 1. The third profile is Class 3, which is categorized as mixed-risk and had a moderate stunting prevalence of 35.7%, indicating a complex interplay of factors contributing to stunting. Our study identified 3 distinct risk profiles for stunting in young children. A substantial amount (almost half) is in the high-risk category, where stunting is far more common. The identification of stunting profiles necessitates considering heterogeneity in risk factors in interventions. Healthcare practitioners should screen, provide nutrition counseling, and promote breastfeeding. Policymakers should strengthen social safety nets and support primary education.

Nutritional status of pregnant women and its impact on child stunting incidence in Indonesia: Literature review

The aim of this research is to determine the relationship between the nutritional status of pregnant women and the incidence of stunting in children in Indonesia based on a review of several related studies. The research method used is a literature review by searching for research articles related to the topic of stunting and nutrition of pregnant women in Indonesia in the last 10 years from online databases. Relevant articles were collected and analyzed systematically. Several studies show that pregnant women with poor nutritional intake and status are at risk of giving birth to babies with stunting and low birth weight. Other factors such as diet, personal hygiene and infections also influence the nutritional status of pregnant women. Poor nutritional status of pregnant women contributes significantly to the risk of stunting in children. Optimizing the nutrition of pregnant women through supplementation, education and increasing access to nutritious food is important as an effort to prevent stunting from an early age.

Household Food Security and Stunting of Under-Five Children in Indonesia: A Systematic Review

Inadequate access to food at home contributes to growth retardation in childhood. Under-five children who suffer from stunting have problems in their growth and development owing to a lack of nutrients over an extended period of time. This study aimed to analyzed the relationship between household food security and stunting prevalence. This study uses a systematic review using Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA). Seven electronic databases are used: PubMed, ProQuest, MDPI, Science Direct, Scopus, Google Scholar, and Portal Garuda. This research was based on studies conducted in Indonesia and published between 2013 and 2023. For the final result, sixteen articles were included. Household food security has a positive correlation with the stunting of under-five children in Indonesia. Moreover, households with food insecurity had a greater risk of stunting. A household is said to be food-secure when access to food is fulfilled by all family members. From this systematic review, the government is expected to formulate policies and strategies to improve household food security and the nutritional status of children under the age of five. To accomplish these efforts, coordination between sectors is required to accelerate and strengthen the implementation of these policies and strategies.

Pendugaan Koefisien Regresi Logistik Biner Menggunakan Algoritma Least Angle Regression

Binary logistic regression is a statistical analysis method that aims to determine the relationship between variable which has two categories with the predictor variable that have categorical or continuous scale. The method that used to estimate logistic regression parameters is Maximum Likelihood Estimation (MLE) method. In estimating parameters, Least Angle Regression (LAR) algorithm is used to select the significant variables in order to get the best model from the estimation results of binary logistic regression coefficients. This LAR algorithm is applied to the risko of stunting data in two-year-old-babies at Buntu Batu Health Center working area, Enrekang Regency, South Sulawesi in 2019. This results obtained in the estimation of binary logistic regression prediction model using LAR algorithm, the standard error value is 0.018 smaller than the standard error value of binary logistic regression, which is 0.025. This shows that the binary logistic regression model using LAR algorithm is better than the usual binary logistic regression model on the risk of stunting data. Based on the results obtained, the variables that significantly affect the risk of stunting in two-year-old-babies on 2019 are father’s height, body length of birth, exclusive breastfeeding, history of infectious diseases, and history of immunization.

SOSIALISASI PENCEGAHAN STUNTING UNTUK MENGURANGI JUMLAH ANAK STUNTING DI DESA TAMIAJENG

Stunting is a serious problem that can affect children's growth and development and have an impact on the development of human resources (HR) in the future. This study aims to increase community understanding of stunting through socialisation and distribution of UHT milk in Tamiajeng Village. The activities were carried out by KKN-P Group 36 Year 2024 by involving Posyandu Cadres, Village Midwives, and other Health Officers. The methods used include observation, making work programs, and permission from related parties, with activities that include face-to-face socialisation of stunting, as well as assistance in Posyandu activities. The results of the activity show that parents who have toddlers understand the impact of stunting on children. So this activity is expected to provide effective education to parents, help reduce the risk of stunting, and build a healthier generation in Tamiajeng Village.

Birth Length, Diarrheal and Acute Respiratory Infection Risk of Stunting in Toddlers

Stunting is a linear growth disorder that is indicated by length / age Z score less than minus 2 SD, and categorized as low nutritional status. Short birth length, Infectious diseases such as diarrhea, and Acute Respiratory Infection are indicated to be factors that cause stunting. Objectives The study aimed to analyze the risk factors of short birth length, diarrheal disease, and acute respiratory infection of stunting among children 12-59 months. Methods The study used is quantitative witch a designed case-control study. The subjects were children between 12-59 months. The sample in this study was 120 consisting of 40 stunted and 80 normal. Subjects were chosen by purposive sampling methods. instrument of this research is microtonal, weight scale, and questionnaire. The results of the study were analyzed by chi-square statistics, odds ratio, and logistic regression. The results showed that birth length (PBL) (P = 0.001), diarrhea (P = 0.000), and ARI (P = 0.030) were associated with stunting in children under five. However, after multiple logistic regression analyses, ARI was not significantly associated (P = 0.126). The risk factors for stunting in children under five are diarrhea (OR = 58.134) and short birth length (OR = 9.625).Conclusion: The risk factors for stunting were short birth length and diarrheal disease.

Determinant of Early Marriage Adolescent to Risk Giving Birth Child in Case of Stunting

Background: Early marriage by adolescents aged less than 16 years can affect the reproductive health readiness of mothers or prospective mothers in giving birth to children with low birth weight potential and risk of stunting. Method: The method used for systematic article review was obtained from 5 databases with 15 relevant articles screened using the PRISMA method. Results: The results of the data obtained are that economic status is very influential on the incidence of stunting, this is due to poor fulfillment of toddler nutrition, lack of education of parents of toddlers, and lack of information and access to good health services. Conclusion: Educational background, economic status, cultural background and environment are the strongest factors that can encourage early marriage for adolescents with the majority living in less developed areas.

Association between diet quality and risk of stunting among school-aged children in Schistosoma mansoni endemic area of western Kenya: a cross-sectional study

BackgroundHealthy eating habits are essential for improving nutritional status and strengthening immunity against infectious diseases. This study examined the relationship between diet quality and stunting in school-aged children in an infectious disease-endemic area of western Kenya.MethodsThis cross-sectional study included 260 school-aged children (age 9–17 years) enrolled in primary schools in Mbita Sub-county, western Kenya. The nutritional status was assessed using anthropometric measurements. Dietary intake was measured using food frequency questionnaires and evaluated using the Food Pyramid (FP) score, which indicates adherence to the Kenyan food-based dietary guideline. Information on the children’s age, sex, maternal education, and household wealth index was collected using a household-based questionnaire. Infections with the predominant parasites, such as Schistosoma (S.) mansoni, were detected via microscopy. The trend associations of the FP score with food group intake were examined to characterize the dietary intake of this population. Logistic regression analysis was performed to investigate the relationship between stunting and FP score tertiles, adjusted for sociodemographic and economic indicators and parasitic infection status.ResultsAmong the studied schoolchildren, 15.0% exhibited stunting, while 76.2% were infected with S. mansoni. The mean FP score was 25.6 out of 50 points. A higher FP score was characterized by a high intake of roots and tubers, dairy products, pulses, and fruits and a low intake of cereals and animal-source foods. The analysis revealed a trend: a lower risk of stunting was evident in groups with elevated FP scores (p for trend = 0.065). However, these trend associations were observable among subjects with either negative or light S. mansoni infection (p for trend = 0.016).ConclusionsA higher quality diet, as evaluated by FP scores, was associated with a low risk of stunting among school-aged children. Notably, this association seemed to weaken in the presence of a high burden of S. mansoni infection. It highlights the importance of enhancing dietary quality through the promotion of diverse nutrient-dense foods alongside effective S. mansoni infection control for improved growth. This study contributes fundamental knowledge for understanding the diet–malnutrition relationship in areas endemic for S. mansoni infection.

Effect Size Estimation of Child Stunting Determinants in Surakarta, Central Java

Background: Child growth is one of the public health indicators in monitoring the nutritional and health status of a population. One of the nutritional problems that is of major concern is the prevalence of stunting in toddlers. Stunting is still a problem in the world. This study aims to analyze the reestimation of the magnitude of the determinant effect of stunting on children under five in the city of Surakarta, Central Java.Subjects and Method: This was a cross-sectional study conducted in Pajang and Sibela community health centers (Puskesmas) in Surakarta, Central Java. Total sample of 200 children under five was selected using fixed disease sampling, consisted of 50 stunted children and 150 normal children. The dependent variable was stunting. The independent variables were exclusive breastfeeding, maternal height, maternal history of illness, maternal age at pregnancy, maternal height, and family income. The data were collected using questionnaire and analyzed using a multiple logistic regression.Results: Maternal age ≥20 years (aOR= 0.19; 95% CI= 0.06 to 0.58; p=0.004), maternal height ≥160 cm (aOR= 0.30; 95% CI= 0.12 to 0.74; p= 0.009), and family income high (aOR= 0.29; 95% CI= 0.12 to 0.72; p=0.008) reduces the risk of stunting. Children under five who were not exclusively breastfed (aOR= 27.06; 95% CI= 8.13 to 90.05; p &lt;0.001) and frequent illness in mothers (aOR= 12.69; 95% CI= 4.59 to 35.10; p&lt;0.001) increases the risk of stunting.Conclusion: Maternal age ≥20 years, maternal height ≥160 cm, and family income high reduce the risk of stunting. Children under five who were not exclusively breastfed and frequent illness in mothers increase the risk of stunting. Keywords: stunting, maternal age, maternal height, income, breastfed, illness, children

Rancang Bangun Media Informasi Berbasis Multimedia Untuk Mencegah Risiko Stunting Pada Anak Balita

Stunting is a growth disorder that describes the failure to growth potential as a result of inadequate health status or nutrition. Child stunting data in 2022 has fallen to 21.6%, but according to the World Health Organization (WHO) criteria, the percentage is still high (20%). One prevention in reducing the risk of stunting is to increase the knowledge of parents about stunting and the intake of good food to be consumed by children. The dissemination of information about stunting and nutritional food intake is often found in the media of information such as text, video, and images but the distribution of information is not organized in one medium. The development phase uses the Multimedia Development Life Cycle (MDLC) methodology with five (five) stages: concept, design, material collection, assembly, and testing. The result of this study is a multimedia-based information media in dasawisma RT 05 Bumi Orange, Cimekar Village, Bandung Regency, with a selection of stunting material menus including complementary foods for breast milk (MPASI), children's weight and height standards, child nutrition, and food intake.

Effects of Cooking with Liquefied Petroleum Gas or Biomass on Stunting in Infants

BackgroundHousehold air pollution is associated with stunted growth in infants. Whether the replacement of biomass fuel (e.g., wood, dung, or agricultural crop waste) with liquefied petroleum gas (LPG) for cooking can reduce the risk of stunting is unknown.MethodsWe conducted a randomized trial involving 3200 pregnant women 18 to 34 years of age in four low- and middle-income countries. Women at 9 to less than 20 weeks’ gestation were randomly assigned to use a free LPG cookstove with continuous free fuel delivery for 18 months (intervention group) or to continue using a biomass cookstove (control group). The length of each infant was measured at 12 months of age, and personal exposures to fine particulate matter (particles with an aerodynamic diameter of ≤2.5 μm) were monitored starting at pregnancy and continuing until the infants were 1 year of age. The primary outcome for which data are presented in the current report — stunting (defined as a length-for-age z score that was more than two standard deviations below the median of a growth standard) at 12 months of age — was one of four primary outcomes of the trial. Intention-to-treat analyses were performed to estimate the relative risk of stunting.ResultsAdherence to the intervention was high, and the intervention resulted in lower prenatal and postnatal 24-hour personal exposures to fine particulate matter than the control (mean prenatal exposure, 35.0 μg per cubic meter vs. 103.3 μg per cubic meter; mean postnatal exposure, 37.9 μg per cubic meter vs. 109.2 μg per cubic meter). Among 3061 live births, 1171 (76.2%) of the 1536 infants born to women in the intervention group and 1186 (77.8%) of the 1525 infants born to women in the control group had a valid length measurement at 12 months of age. Stunting occurred in 321 of the 1171 infants included in the analysis (27.4%) of the infants born to women in the intervention group and in 299 of the 1186 infants included in the analysis (25.2%) of those born to women in the control group (relative risk, 1.10; 98.75% confidence interval, 0.94 to 1.29; P=0.12).ConclusionsAn intervention strategy starting in pregnancy and aimed at mitigating household air pollution by replacing biomass fuel with LPG for cooking did not reduce the risk of stunting in infants. (Funded by the National Institutes of Health and the Bill and Melinda Gates Foundation; HAPIN ClinicalTrials.gov number, NCT02944682.)

The role of parental education and occupation on undernutrition among children under five in Bangladesh: A rural-urban comparison.

Bangladesh continues to face the persistent issue of child malnutrition. This study aims to investigate the influence of parental characteristics on undernutrition among children under the age of five in both urban and rural areas of Bangladesh. This study utilizes data from the Bangladesh Demographic and Health Survey (BDHS) 2017-18, which includes 7806 children under the age of five and their parents. The effects of parental education and occupation on undernutrition (e.g., stunting, underweight, and wasting) are examined using the binary probit regression technique. Among rural children, 32.6% are stunted, 22.5% are underweight, and 8.1% are wasted. The corresponding figures for urban children are 25.3%, 18.9%, and 8.9%, respectively. In all forms of undernutrition, children living in rural areas face greater challenges than those living in urban areas. The prevalence of stunting and underweight is low among children, irrespective of their rural or urban background, when both parents have the same level of education. The prevalence is also low when fathers are employers or traders and mothers are homemakers, or when highly educated fathers are employers or traders and highly educated mothers are homemakers. In both rural and urban areas, the risk of stunting, underweight and all forms of malnutrition among children decreases as parents' education levels increase. Children whose fathers work in service or business activities are less likely to experience stunting, being underweight, or wasting compared to children whose fathers work in agriculture or other professions in both areas. In urban areas, children born to mothers with lower levels of education are more vulnerable to wasting than children whose mothers have at least secondary education. To reduce child undernutrition nationwide, it is recommended that both parents have at least a secondary school education and that the father has a stable and sufficient income.

Qualitative Study on Adolescent Marriage and The Risk of Stunting in South Kalimantan

Qualitative Study on Adolescent Marriage and The Risk of Stunting in South Kalimantan

Spatial Analysis of Drought Vulnerability Related to Climate Change and Under Five Children’s Nutritional Status

Drought vulnerability which more prevalent due to climate change reduce public health quality. This research aims to map areas that are vulnerable to drought and correlate them with under five children nutritional status. This was a cross-sectional study using spatial analysis in Borobudur District. Drought vulnerabilities were overlayed using three drought-prone indicators of Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI), and Land Surface Temperature (LST). The spatial analysis found 8 villages (40%) had high, 6 villages (30%) had medium, and 6 villages (30%) had low drought vulnerability. Stunting prevalence derived from the routine community-based nutritional surveillance of the Magelang District Health Office. Analysis of Variance (ANOVA) were used to assess the risk of stunting among different level of spatial indicators related to drought. The average prevalence of stunting was higher in the areas with high (12.57%), compared to medium (8.93%), and low (8.73%) drought vulnerability, but not statistically significant (F=1.763; p&gt;0.05). Stunting was significantly related to water availability (NDWI). A lower NDWI index increased the risk of stunting in children (F=4.620; p&lt;0.05). NDWI spatial analysis can be used as a reference to support preventive efforts to mitigate drought and the nutritional status of children in rural areas.

THE RELATIONSHIP BETWEEN ANEMIA IN PREGNANT WOMEN AND THE RISK OF STUNTING

Pregnant women who are anemic are one of the opportunities for the risk prevalence of stunting. This research was conducted to determine the relationship between anemia in pregnant women and the risk of stunting in Bima Regency, West Nusa Tenggara. This type of research is Correlative Analytical with a cross-sectional study approach. The population in this study was all pregnant women with anemia from September 2022 to May 2023, namely 54 people, with an accidental sampling technique, so the number of samples obtained was 48 people. This research consists of a dependent variable and an independent variable. The dependent variable is the risk of stunting, while the independent variable is Anemia in Pregnant Women. To determine anemia in pregnant women, a measuring instrument in the form of a pregnancy control book is used, while to determine the risk of stunting, a questionnaire is used. The data collection technique used is by using primary data and secondary data. The type of primary data collected in this research is measured directly on respondents using a questionnaire. Meanwhile, secondary data consists of data on the number of anemic pregnant. Data analysis in this study consisted of univariate analysis and bivariate analysis. Bivariate analysis used the chi-square statistical test. The results of the study show that there is a relationship between anemia in pregnant women and the risk of stunting with a P value = 0.03 Keywords: Anemia, Pregnancy, Stunting Risk