Positive deviance in child malnutrition of urban poor of Mumbai, India: A longitudinal analysis

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
L Yaddanapudi ◽  
R Dalal ◽  
S B Agnihotri
Keyword(s):  
Logistic Regression ◽  
Nutritional Status ◽  
Urban Poor ◽  
Binary Logistic Regression ◽  
Wealth Quintile ◽  
Positive Deviance ◽  
Primary Data ◽  
P Value ◽  
Binary Logistic Regression Model ◽  
Nutritional Status Of Children

Abstract Background Maharashtra has the largest share of urban population in India (13.5%) and is home to the largest slums. Malnutrition rates in these settlements are very high due to insufficient feeding, poverty, poor water quality and sanitation. The Foundation for Mother and Child Health (FMCH) has been working on reducing malnutrition in the urban slums of Mumbai for about 14 years now. Longitudinal data (2014-2019) collected by them was used in this analysis. Objectives To analyze the nutritional status of children before and after the intervention of FMCH and identify underlying factors associated with positive deviance in them. Methods NFHS-4 urban data of the lowest wealth quintile was used to analyze nutritional status of urban poor in India. Primary data of 4634 children (age 0-5) from the slums of Mumbai was analyzed for nutritional status during baseline and end line using ENA software. Descriptive statistical methods and binary logistic regression model were applied on selected 1583 cases using SPSS. Results Malnutrition rates in these children were lesser than national averages until 2 years of age. From baseline to end line, 48% reduction was observed in wasting within the first 6 months of age. Binary logistic regression reveals that age at registration (Odds ratio, OR = 0.94, p-value=0.04) and area of residence (p-value=0.00) are two most significant factors contributing to positive deviance in the child's nutritional status. Another univariate logistic regression on categorized breastfeeding score reveals that a higher score results in higher odds (OR = 1.561, p-value=0.01) of positive deviance in nutritional status of the child. Conclusions Since the strategy in each area is different, the most successful strategy is thus identified. The importance of early identification and intervention for effective tackling of malnutrition is highlighted through this analysis. Also, the role of effective breastfeeding techniques has emerged to be extremely significant. Key messages Impacting over 4000 children, the right nutrition in the first 1000 days and regular monitoring resulted in almost 50% reduction in wasting. Effective breastfeeding techniques were found to be extremely significant in the improvement of child's nutritional status.

scholarly journals The Impact of International Remittances on Poverty Alleviation in Bangladesh

2019 ◽  
Vol 4 (1) ◽  
pp. 67-86 ◽  
Author(s):  
Bezon Kumar
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Poverty Alleviation ◽  
Logistic Regression Model ◽  
Binary Logistic Regression ◽  
Primary Data ◽  
Binary Logistic Regression Model ◽  
Household Poverty ◽  
International Remittances ◽  
The Impact

This article mainly explores to what extent international remittances alleviate household poverty in Bangladesh. This study uses primary data collected from 216 households and employs multi-methods. Firstly, I measure the level of household poverty through Foster-Greer-Thorbecke index. The article secondly focuses on the impact of remittances on household poverty using a binary logistic regression model. I found that the level of poverty among remittance recipient households is notably lower than households that are not receiving remittances. Similarly, the probability of a household being poor is alleviated by 28.07 per cent if the household receives remittance. It can be suggested that nursing international remittances can be useful for poverty alleviation in Bangladesh. 

scholarly journals ANALISIS FAKTOR YANG MEMPENGARUHI STATUS PENERIMAAN BERAS KELUARGA MISKIN MENGGUNAKAN REGRESI LOGISTIK BINER DI KECAMATAN LANGSA BARAT

2020 ◽  
Vol 14 (2) ◽  
pp. 181-192
Author(s):  
Amelia Amelia ◽  
Fitra Mulyani ◽  
Ulya Nabilla
Keyword(s):  
Logistic Regression ◽  
Economic Status ◽  
Secondary Data ◽  
Binary Logistic Regression ◽  
Primary Data ◽  
Binary Logistic Regression Analysis ◽  
Binary Logistic Regression Model ◽  
The Status ◽  
Rice Consumption ◽  
The Government

Poverty is an inability to meet basic needs measured by expenditure, including rice consumption. Based on data from the Central Statistics Agency (BPS), as much as 95% of Indonesia's population consumes rice as the main food, with an average rice consumption of 102 kg/person/ year (BPS, 2013). Furthermore, BPS stated that almost 1/4 of them or around 25.95 million people were included in the category of the poor population as of March 2018. So the government made a policy to tackle the problem through the program of giving poor family rice (Raskin), namely subsidized rice assistance to households poor. However, in the implementation of the Raskin program, there was a deviation of around 40% of Indonesia's population with a middle-upper social-economic status receiving Raskin and 12.5% ​​of the population with a socio-economic status upon receiving Raskin. Therefore this study aims to analyze the significant factors that affect the status of rice in poor families using binary logistic regression analysis. The location of the study was conducted in the District of West Langsa because the district was one of the districts receiving the most Raskin in the City of Langsa. The data used in this study are primary data and secondary data. The results of the analysis show that the factors that influence Raskin's acceptance status are the level of education, type of floor, type of fuel, expenditure for food, and frequency of purchasing new clothes. The binary logistic regression model obtained is

scholarly journals RELATIONSHIP BETWEEN FOODING BEHAVIOR BY MOTHER WITH NUTRITIONAL STATUS OF TODDLERS IN ARONGAN VILLAGE, NAGAN RAYA REGENCY

2021 ◽  
Vol 1 (2) ◽  
pp. 225-234
Author(s):  
Eliyana Eliyana ◽  
Enda Silvia Putri
Keyword(s):  
Nutritional Status ◽  
Primary Data ◽  
P Value ◽  
Chi Square ◽  
Cross Sectional ◽  
Children Under Five ◽  
Under Five ◽  
Poor Nutritional Status ◽  
Chi Square Test ◽  
Nutritional Status Of Children

In Indonesia, the problem of nutrition is still very high, we should prepare the Indonesian generation in a healthy, intelligent and quality manner to be able to continue the development of the Indonesian nation to be more advanced, just and prosperous. The survey results obtained data for 72 children under five, there were 83.3% under five with good nutritional status, 2.8% under five with overweight status, 12.5% ​​under five with malnutrition status, and 1.4% under five with poor nutritional status. The purpose of the study was to determine the relationship between knowledge, attitudes and actions of mothers in giving food to the nutritional status of children under five. This study used a cross sectional analytic survey, the primary data was obtained from the measurement of the toddler's weight. The population of this research is all mothers who have toddlers totaling 72 respondents, the sample in this study is all of the total population. The research analysis was univariate and bivariate using the Chi-Square test. The results showed that there was a relationship between mother's knowledge (P-value = 0.001), mother's attitude (P-value = 0.02), and mother's actions (P-value = 0.01) with the nutritional status of children under five.

scholarly journals Socio-Economic Correlates of Children's Nutritional Status: Evidence from Pakistan Demographic and Health Survey 2017-18

2020 ◽  
Vol V (I) ◽  
pp. 221-233
Author(s):  
Muhammad Shahid ◽  
Inam Ullah Leghari ◽  
Farooq Ahmed
Keyword(s):  
Logistic Regression ◽  
Nutritional Status ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Composite Index ◽  
Binary Logistic Regression ◽  
Household Wealth ◽  
Nutrition Status ◽  
Binary Logistic Regression Model ◽  
Important Indicator

Nutrition status is an important indicator of child health. This study estimates the effect of socioeconomic determinants on children's nutritional status of under five years of age. We apply the Composite Index of Anthropometric Failure (CIAF) in our empirical analysis as a proxy measure to denote the malnutrition measurement index, and a binary logistic regression model using PDHS dataset for 2017-18. The logistic regression model inspects the probability of malnutrition among children. The result demonstrates that the age of children, education and employment status of mothers, BMI of mothers, assets owned by mothers, tetanus vaccination of mothers, the incidence of diarrhea in children, and household wealth has a significant impact on malnutrition in children. The study concludes that socioeconomic deprivations and inequalities in society play a significant role in determining the health and nutrition of pre-school children.

HUBUNGAN ANTARA PENDIDIKAN DAN SOSIAL EKONOMI KELUARGA DENGAN STATUS GIZI BALITA DI PUSKESMAS KERAMASAN PALEMBANG TAHUN 2012

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Dini Kesumah Dini Kesumah
Keyword(s):  
Nutritional Status ◽  
World Health Organization ◽  
Health Center ◽  
World Health ◽  
P Value ◽  
Chi Square ◽  
Cross Sectional ◽  
Highly Educated ◽  
Health Organization ◽  
Nutritional Status Of Children

ABSTRACT According to World Health Organization Health Organization (WHO) in 2005 showed 49% of deaths occur in children under five in developing countries. Nutritional problems can not be done with the medical and health care approach alone. Causes related to malnutrition that maternal education, socioeconomic families, poor environmental sanitation, and lack of food supplies. This study aims to determine the relationship between education and socioeconomic status of families with nutrition survey using a cross sectional analytic approach, with a population of all mothers of children under five who visited the health center in Palembang Keramasan Accidental sampling Sampling the number of samples obtained 35 respondents. Variables include the study independent and dependent variables and univariate analysis using Chi-Square test statistic with a significance level α = 0.05. The results from 35 respondents indicate that highly educated mothers earned as many as 16 people (45.7%), and middle and upper income families as many as 12 people (34.3%) and bivariate test results show that highly educated respondents toddler nutritional status good for 81.3% (13 people) is larger than the less educated respondents balitanya good nutritional status 26.3% (5 persons) as well as respondents who have middle and upper socioeconomic families with good nutritional status of children at 91.7% ( 11 people) is larger when compared to respondents who have family socioeconomic medium with good nutritional status of children at 30.4% (7 people). Statistical tests show that education has a significant relationship with nutritional status of children P value = 0.004 and socioeconomic families have a meaningful relationship with nutritional status of children P value = 0.002. Based on the results of the study suggested the health professionals in the health center should further improve the education, information about the importance of nutrition to the development of the child in the mothers through the selection and processing of good food and a good diet through health centers and integrated health.   ABSTRAK  Menurut badan kesehatan World Health Organization (WHO) tahun 2005 menunjukkan 49% kematian yang terjadi pada anak dibawah umur lima tahun di negara berkembang. Masalah gizi ini tidak dapat dilakukan dengan pendekatan medis dan pelayanan kesehatan saja. Penyebab yang berhubungan dengan kurang gizi yaitu pendidikan ibu, sosial ekonomi keluarga, sanitasi lingkungan yang kurang baik,dan kurangnya persediaan pangan. Penelitian ini bertujuan untuk mengetahui hubungan antara pendidikan dan sosial ekonomi keluarga dengan status gizi balita dengan menggunakan metode survei analitik pendekatan secara Cross Sectional, dengan populasi semua ibu yang memiliki anak balita yang berkunjung ke Puskesmas Keramasan Palembang dengan pengambilan sampel secara Accidental Sampling diperoleh jumlah sampel 35 responden. Variabel penelitian meliputi variabel independen dan dependen serta analisis univariat menggunakan uji statistik Chi-Square dengan tingkat kemaknaan α = 0,05. Hasil penelitian ini menunjukkan dari 35 responden didapatkan ibu yang berpendidikan tinggi sebanyak 16 orang  (45,7%), dan keluarga yang berpenghasilan menengah keatas sebanyak 12 orang (34,3%) dan hasil uji bivariat menunjukkan bahwa responden yang berpendidikan tinggi status gizi balitanya baik sebesar 81,3% (13 orang) lebih besar bila dibanding responden yang berpendidikan rendah status gizi balitanya baik 26,3% (5 orang) serta responden yang mempunyai sosial ekonomi keluarga menengah keatas dengan status gizi balita baik sebesar 91,7% (11 orang) lebih besar bila dibanding responden yang mempunyai sosial ekonomi keluarga menengah kebawah dengan status gizi balita baik sebesar 30,4% (7 orang). Uji statistik menunjukkan bahwa pendidikan mempunyai hubungan yang bermakna dengan status gizi balita P value = 0,004 dan sosial ekonomi keluarga mempunyai hubungan yang bermakna dengan status gizi balita P value = 0,002. Berdasarkan hasil penelitian disarankan pada petugas kesehatan di Puskesmas hendaknya lebih meningkatkan penyuluhan-penyuluhan tentang pentingnya gizi terhadap tumbuh kembang anak pada ibu-ibu melalui cara pemilihan dan pengolahan bahan makanan yang baik serta pola makanan yang baik melalui kegiatan Puskesmas dan Posyandu.

HUBUNGAN PERAN KADER POSYANDU DENGAN STATUS GIZI BALITA

2018 ◽  
Vol 9 (02) ◽  
pp. 192
Author(s):  
Wiwid Wahyuningsih ◽  
Atik Setiyaningsih
Keyword(s):  
Nutritional Status ◽  
Total Sample ◽  
Nutrition Status ◽  
P Value ◽  
Chi Square ◽  
Cross Sectional ◽  
Central Java ◽  
Good Nutrition ◽  
Nutritional Status Of Children

ABSTRAKLatar Belakang : Keberadaan kader di posyandu sebagai salah satu sistem penyelenggarakan pelayanan sangat dibutuhkan. Mereka adalah ujung tombak  pelayanan kesehatan yang merupakan kepanjangtanganan puskesmas Jawa Tengah tahun 2011 jumlah gizi kurang 5,35% dan gizi buruk 0,10%. Untuk Kabupaten Semarang dari 23.562 balita yang ditimbang pada tahun 2011 gizi lebih 1,13%, gizi baik 93,51%, gizi kurang 4,86% dan gizi buruk 0,49% (DepKes Prov Jateng, 2011). Tujuan Penelitian : Penelitian ini bertujuan untuk mengetahui hubungan peran kader posyandu dengan status gizi balita. Metode Penelitian : Desain penelitian ini adalah survey analitik dengan menggunakan pendekatan cross sectional. Populasi dalam penelitian ini adalah seluruh balita di Posyandu Mawar di Desa Gedangan sejumlah 40 responden, dengan teknik total sampling dan analisa data chi square. Hasil Penelitian : Hasil perhitungan chi square di peroleh X² hitung 10.644 pada df=4, P.value 0.031 dimana probabilitas lebih kecil dari level of significant 5 % (0,001 < 0,05) berarti Ha diterima dan Ho ditolak. Kesimpulan : ada hubungan antara peran kader posyandu dengan status gizi pada balita.Kata Kunci : peran kader , status gizi balitaCADERE ROLE RELATIONSHIP WITH NUTRITIONAL STATUS OF CHILDREN POSYANDUABSTRACTBackground : posyandu cadre in Existence as one of the 56th's service system is urgently needed. They are the tip of the Spear is a kepanjangtanganan health services clinics in Central Java in 2011 the amount of nutrition less 5.35% 0.10% and malnutrition. To Semarang from 23.562 toddler who weighed in 2011 more nutritional 1.13%, 93,51%, good nutrition nutrition less 4.86% and 0.49% poor nutrition (Department of Health Central Java Prov., 2011). Objective : the research aims to find out the relationship role of posyandu cadre with the nutritional status of children. Methods : the design of this research is a survey using the analytic approach of cross sectional. The population in this study are all the toddlers at the Rose in the village of Posyandu Gedangan some 38 respondents, with total sample techniques and data analysis a chi square. The results :. The chi square calculation results in getting X ² count 10.644 on df = 4, P. value 0.031 where probability is smaller than the level of significant 5% (0.001 < 0.05) mean Ha Ho accepted and rejected. Conclusion : there is a connection between the role of cadres of posyandu with nutritional status on toddlers.Keywords : the role of cadres, toddler nutrition status

scholarly journals Least Likely Observations in Regression Models for Categorical Outcomes

2002 ◽  
Vol 2 (3) ◽  
pp. 296-300 ◽  
Author(s):  
Jeremy Freese
Keyword(s):  
Logistic Regression ◽  
Regression Models ◽  
Binary Logistic Regression ◽  
Positive Outcome ◽  
Ordinary Least Squares ◽  
Parameter Estimates ◽  
Least Squares Regression ◽  
Binary Logistic Regression Model ◽  
Ordered Logistic Regression ◽  
Negative Outcome

This article presents a method and program for identifying poorly fitting observations for maximum-likelihood regression models for categorical dependent variables. After estimating a model, the program leastlikely will list the observations that have the lowest predicted probabilities of observing the value of the outcome category that was actually observed. For example, when run after estimating a binary logistic regression model, leastlikely will list the observations with a positive outcome that had the lowest predicted probabilities of a positive outcome and the observations with a negative outcome that had the lowest predicted probabilities of a negative outcome. These can be considered the observations in which the outcome is most surprising given the values of the independent variables and the parameter estimates and, like observations with large residuals in ordinary least squares regression, may warrant individual inspection. Use of the program is illustrated with examples using binary and ordered logistic regression.

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