Evidence map›Paper›PMID 35971115›Full record

ArticleBMC public health2022

Space-time dynamics regression models to assess variations of composite index for anthropometric failure across the administrative zones in Ethiopia.

Haile Mekonnen Fenta, Temesgen Zewotir, Essey Kebede Muluneh

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In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
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11citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Haile Mekonnen FentaDepartment of Statistics, College of Science, Bahir Dar University, Bahir Dar, Ethiopia. hailemekonnen@gmail.com.
Temesgen ZewotirSchool of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Durban, South Africa.
Essey Kebede MulunehSchool of Public Health, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA single anthropometric index such as stunting, wasting, or underweight does not show the holistic picture of under-five children's undernutrition status. To alleviate this problem, we adopted a multifaceted single index known as the composite index for anthropometric failure (CIAF). Using this undernutrition index, we investigated the disparities of Ethiopian under-five children's undernutrition status in space and time.

methodsData for analysis were extracted from the Ethiopian Demographic and Health Surveys (EDHSs). The space-time dynamics models were formulated to explore the effects of different covariates on undernutrition among children under five in 72 administrative zones in Ethiopia.

resultsThe general nested spatial-temporal dynamic model with spatial and temporal lags autoregressive components was found to be the most adequate (AIC = -409.33, R

conclusionThe CIAF risk factors are spatially and temporally correlated across 72 administrative zones in Ethiopia. There exist geographical differences in CIAF among the zones, which are influenced by spatial neighborhoods of the zone and temporal lags within the zone. Hence these findings emphasize the need to take the spatial neighborhood and historical/temporal contexts into account when planning CIAF prevention.

Indexed as

MalnutritionAnthropometryChildEthiopiaFemaleGrowth DisordersHumansInfantPrevalenceThinnessAdjusted relative riskDynamic modelsLag effectNeighborhood effectQueen contiguitySpatial autocorrelationSpatiotemporal models

Identifiers

PMID35971115
PMCPMC9377130

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