Temporal trend of child stunting prevalence and Food and Nutritional Surveillance System

Berti, Cristiana; Vecchia, Adriano La

doi:10.1016/j.jped.2022.10.001

Cited by 8 publications

(7 citation statements)

References 11 publications

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“…Foods rich in nutrients such as protein, iron, vitamin A, and vitamin C are essential for a child's growth and development [63]. With food security, families can meet children's nutritional needs optimally, reduce the risk of nutritional deficiencies, and prevent stunting [46]. This is related to food availability both at the household and regional levels in macro terms.…”

Section: Discussion: Household Food Security As Nucleus Determinant F...mentioning

confidence: 99%

“…This value means that households that have strong food security have the potential (opportunity) to reduce the risk and prevent stunting in toddlers by 67.9%. Household food security becomes a core determinant in line with the basic theory of stunting as failure to thrive in toddlers during 1000 FDL due to long-term chronic malnutrition and malnutrition [44][45][46][47]. Then, this definition is translated as household performance in providing adequate nutritional intake as the minimum calorie threshold of 2000 kcal per capita per day [48].…”

Section: Determinant Of Stuntingmentioning

confidence: 99%

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Is the household food security the nucleus determinant for the prevalence of stunting in Purworejo Regency?

Wijaya,

Susanto,

Satriyandari

et al. 2023

E3S Web of Conf.

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This study aims to analyze household food security as the core determinant of stunting and Purworejo Regency of Central Java Province as a case study. Methodologically, this study used multiple binary regression models. This study analyzed 250 samples selected randomly tiered (multi-stage random sampling). The equation used is stunting as a dependent variable and an independent variable (dummy) in the form of household food security and control variables (parental marriage age, use of contraceptives, gestation, parity, early breastfeeding initiation, exclusive breastfeeding, pollution status, and distance of health facilities). As a result, household food security is proven to be a core determinant of stunting in Purworejo District. Household food security has a significant effect on the -0.679 (α 0.001) coefficient on stunting. This means that houses that have food security have the opportunity to reduce the risk and prevent stunting by 67.9% than those that do not. As a control variable, the use of contraceptives, parity, early initiation of breastfeeding, and exclusive breastfeeding had a significant negative effect on stunting while pollution status had a significant positive effect. This model has been able to explain the research phenomenon by 58.2% (adjusted R-square 0.582).

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Section: Discussion: Household Food Security As Nucleus Determinant F...mentioning

confidence: 99%

Section: Determinant Of Stuntingmentioning

confidence: 99%

Is the household food security the nucleus determinant for the prevalence of stunting in Purworejo Regency?

Wijaya,

Susanto,

Satriyandari

et al. 2023

E3S Web of Conf.

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“…Moreover, nearly one-third of the patients admitted with severe pneumonia were not assessed because of missing charts. Research in low-income countries is made complex by the lack of resources to ensure data collection, which could be improved by the development of regional surveillance systems ( 35 , 36 ). Anyway, this selection was random, and we believe it has not affected our results.…”

Section: Discussionmentioning

confidence: 99%

Adherence to WHO guidelines on severe pneumonia management in children and its impact on outcome: an observational study at Jinka General Hospital in Ethiopia

La Vecchia,

Teklie,

Mulu

et al. 2023

Front. Public Health

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IntroductionPoor adherence to guidelines during empirical antibiotic prescription in low-income countries could increase antimicrobial resistance without improving outcomes. Revised World Health Organization (WHO) guidelines published in 2014 on childhood (2–59 months) pneumonia re-defined the classification of severe pneumonia and changed the first-line treatment. The adherence to WHO guidelines in southern Ethiopia at the hospital level is unknown. We sought to determine the adherence to WHO guidelines on severe pneumonia first-line treatment in children in an Ethiopian referral hospital and assess the impact of non-adherence on patient outcomes.MethodsAn observational study was conducted on all children (2–59 months) clinically diagnosed with severe pneumonia and admitted to the Pediatric Ward of Jinka Hospital from 1 June 2021 to 31 May 2022. Exclusion criteria included a known HIV infection, ongoing antibiotic treatment before the event not related to acute pneumonia, or any other severe bacterial infection, confirmed or suspected. Adherence to guidelines was defined as first-line treatment with ampicillin or benzylpenicillin and gentamicin at the recommended dose. We compared the patients treated adherently vs. non-adherently. For categorical variables, the chi-square or Fisher's exact test was used, while for continuous variables, the Mann–Whitney U-test was used. Multivariate logistic regression was used to evaluate the association between adherence and demographic and clinical characteristics.ResultsDuring the observational period, 266 patients were registered as having severe pneumonia with an age between 2 and 59 months. After excluding 114 patients due to missing charts or other exclusion criteria, a total of 152 patients were included in the analysis. Of these, 78 (51%) were girls with a median age of 10 months (IQR 7–14). Overall, 75 (49%) patients received therapy according to the WHO guidelines. Compared to patients treated adherently to the guidelines, patients not treated adherently had similar outcomes [median length of stay of 3 (IQR 3–5) and 4 (IQR 3–6) days], median duration of oxygen therapy of 2 (IQR 1–3) for both the groups, and self-discharge rates of 5% and 6.5%, respectively).ConclusionAdherence to the revised WHO guideline was limited and not associated with outcomes. Efforts should focus on reducing the gap between theory and practice.

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“…This shows that there are big problems that must be resolved comprehensively. 6 Cases of death, including infant deaths, are proven to be closely related to the social capital that exists in society, such as a lack of care, assistance, justice, and social distrust. Cultural influences and other social forces influence a person's behavior.…”

Section: Introductionmentioning

confidence: 99%

Influence of social capital on the stunting incidence in the south region of Cikarang sub-district, Bekasi regency, in 2022: a cross- sectional study

Setianingsih,

Suharso,

Hussain

2024

Padjadjaran J Dent

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Introduction: The problem of stunting is caused by many factors, including geographical, social, and political problems. The role of social capital has been shown to impact economic development and health in some countries, including the problem of stunting, but has not been widely studied. The purpose of this study is to analyze the effect of social capital on the incidence of stunting in South Cikarang Sub District, Bekasi Regency. Methods: The type of study is observational with a cross-sectional design. The population had 106 neighborhoods as respondents, with simple random sampling technique, and a total sample of 91 people. The research instrument uses a questionnaire whose validity and reliability have been tested. The independent variables studied were 7 variables. Univariate in the form of frequency distribution, Bivariate analysis using chi square followed by logistic regression to obtain a predictive model using SPSS Version 24. Result: 65.9% of neighborhoods have stunting rates in their area. This figure is still above the government's target. Of the 7 variables studied, all of them are related to the incidence of stunting. Suprastructure variables with p=0.001, community participation with p=0.004, community empowerment in development with p=0.001, community control in development and stunting events with a value of p=0.001, motives of empowerment in development with p=0.004, the existence of cadres as agents of change with p=0.001, involvement of various stakeholders with p=0.001. The most dominant factor is the suprastructure of various stakeholders, with p=0.001. The most dominant factor is the t variable, with OR=49.398 at 95% of CI (3.623–673.6). Predictive models are produced so that preventive efforts are expected to reduce the incidence of stunting. Conclusion: The high incidence of stunting in the neighborhood area shows that the social capital of the community still needs to be improved in handling stunting. Community groups in the neighborhoods that have poor suprastructure will be at risk of their area having a stunting incidence.Keywordsocial capital, stunting, incidence

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Temporal trend of child stunting prevalence and Food and Nutritional Surveillance System

Cited by 8 publications

References 11 publications

Is the household food security the nucleus determinant for the prevalence of stunting in Purworejo Regency?

Is the household food security the nucleus determinant for the prevalence of stunting in Purworejo Regency?

Adherence to WHO guidelines on severe pneumonia management in children and its impact on outcome: an observational study at Jinka General Hospital in Ethiopia

Influence of social capital on the stunting incidence in the south region of Cikarang sub-district, Bekasi regency, in 2022: a cross- sectional study

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