Evidence map›Paper›PMID 33673212›Full record

ArticleNutrients2021

Socioeconomic and Geographic Pattern of Food Consumption and Dietary Diversity among Children Aged 6-23 Months Old in Ghana.

Isaac Anane, Fengying Nie, Jiaqi Huang

Abstract read
In one paragraph

Article in Nutrients, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Isaac AnaneAgricultural Information Institute of Chinese Academy of Agricultural Sciences, Beijing 100081, China.ORCID 0000-0002-2258-8154
Fengying NieAgricultural Information Institute of Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Jiaqi HuangAgricultural Information Institute of Chinese Academy of Agricultural Sciences, Beijing 100081, China.ORCID 0000-0002-8616-7762

Funding

Chinese Academy of Agricultural Sciences CAAS-ASTIP-2016-AIINational Natural Science Foundation of China 71661147001; 71861147003National Social Science Fund of China 16ZDA021
6 · The paper itself

Abstract

Dietary inadequacy is a major challenge among young children in Ghana. Nutritional policies are required for optimum child nutrition and development. This study explored food consumption and dietary diversity by socioeconomic status and geographical location among children aged 6-23 months in Ghana. We used the latest national representative, cross-sectional data from the Ghana Demographic and Health Survey (GDHS-2014). A total of 887 children aged 6-23 months were used in the final analysis. The survey collected data on children's food consumption through their mothers in the 24 h recall method. Multiple logistic regression models were used to assess the relationship between socioeconomic status and geographical location with food consumption and adequate dietary diversity after adjusting for control variables. The study revealed an association between specific food item consumption, food groups, and dietary diversity by socioeconomic and geographic characteristics. However, dairy consumption increased faster than other nutritional foods when socioeconomic status increased. Furthermore, the study revealed that children's chances of consuming particular food items and food groups differed across Ghana's 10 regions. The average probabilities of consuming adequate dietary diversity between the Greater Accra region and Ashanti region were 43% vs. 8% (

Indexed as

Socioeconomic FactorsCross-Sectional StudiesDemographyDietDiet SurveysFeeding BehaviorFemaleGeographyGhanaHumansInfantMaledietary diversityfood consumptiongeographical locationsGhanasocioeconomic status

Identifiers

PMID33673212
PMCPMC7918505

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Registered trials

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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.