Evidence map›Paper›PMID 37965405›Full record

ArticleCureus2023

Association Between Household Food Insecurity and Malnutrition Among Children Attending Anganwadi Centres in Rural Bengaluru: A Community-Based Cross-Sectional Study.

Hamsa L, Ranganath T S, Raksha R Nayak, Pradeep Kumar N G

Open access · diamondAbstract read
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Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed, 0 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Hamsa LPreventive and Social Medicine, Bangalore Medical College and Research Institute, Karnataka, Bengaluru, IND.
Ranganath T SCommunity Medicine, Bangalore Medical College and Research Institute, Bengaluru, IND.
Raksha R NayakCommunity Medicine, Bangalore Medical College and Research Institute, Bengaluru, IND.
Pradeep Kumar N GCommunity Medicine, Bangalore Medical College and Research Institute, Bengaluru, IND.
Bangalore Medical College and Research Institute · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesMalnutrition is a universal problem that has many forms. It affects all geographies, all age groups, and rich and poor people.The link between food insecurity and the health of populations has been established. Malnutrition commonly affects all groups in a community, but infants and young children are the most vulnerable because of their high requirements for growth and development. Hence, this study is taken up to assess existing household food insecurity, nutritional status, and various factors influencing the same among preschool children. MATERIAL AND

methodsThis was a cross-sectional study conducted in Anganwadis in the rural field practice area attached to Bangalore Medical College and Research Institute (BMCRI), Bengaluru. Based on the probability proportional to size (PPS) sampling method, 500 Anganwadi children aged three to six years were included in the study from nine Integrated Child Development Scheme (ICDS) blocks in Nelamangala, Bengaluru. Data were collected using a pre-validated, semi-structured questionnaire.

resultsAmong 500 study participants, 274 (54.8%) were boys and 226 (45.2%) were girls. Moderate underweight was seen in 13.87% of boys and 28.32% of girls. Severe underweight was seen in 6.57% of boys and 4.4% of girls. Moderate stunting was seen in 6.2% of boys and 21.68% among girls. Severe stunting was seen in 1.44% of boys and 0.88% of girls. Moderate wasting was seen in 12.41% of boys and 16.81% of girls. Severe wasting was seen in 2.19% of boys and 0.88% of girls. Mild food insecurity was seen in 11.65% of households, and moderate food insecurity was seen in 5.2% of households. There was a significant association between wasting and household food insecurity (p < 0.05), stunting, and household food insecurity (p < 0.05). There was a significant correlation between age and stunting, gender and stunting, and gender and underweight. On regression analysis, moderate food insecurity was 2.08 times higher and significantly associated with stunting.

conclusionThe prevalence of malnutrition was less than the NFHS 5 statistics in this study. Regular monitoring and analysis of food insecurity and malnutrition among children and women need to be done at the national, state, and regional levels.

Indexed as

anganwadi childrenhousehold food insecurityruralstuntingunderweightwasting

Identifiers

PMID37965405
PMCPMC10641332
OpenAlexW4387642104

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.