Evidence map›Paper›PMID 31403718›Full record

ArticleAnnals of the New York Academy of Sciences2020

Dietary patterns of >30,000 adolescents 9-15 years of age in rural Bangladesh.

Andrew L Thorne-Lyman, Saijuddin Shaikh, Sucheta Mehra, Lee S F Wu, Hasmot Ali, Kelsey Alland, Kerry J Schultze, Maithilee Mitra, Jinhee Hur, Parul Christian and 2 more

Abstract read
In one paragraph

Article in Annals of the New York Academy of Sciences, 2020. 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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  11. Dietary Diversity and Dietary Patterns in School-Aged Children in Western Kenya: A Latent Class Analysis.International journal of environmental research and public health · 2022
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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

12 authors.

Andrew L Thorne-LymanCenter for Human Nutrition, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.ORCID 0000-0001-5917-4126
Saijuddin ShaikhThe JiVitA Project, Gaibandha, Bangladesh.
Sucheta MehraCenter for Human Nutrition, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Lee S F WuCenter for Human Nutrition, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Hasmot AliThe JiVitA Project, Gaibandha, Bangladesh.
Kelsey AllandCenter for Human Nutrition, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Kerry J SchultzeCenter for Human Nutrition, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Maithilee MitraCenter for Human Nutrition, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Jinhee HurCenter for Human Nutrition, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Parul ChristianCenter for Human Nutrition, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Alain B LabriqueCenter for Human Nutrition, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Keith P WestCenter for Human Nutrition, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Little is known of the usual food intakes of rural adolescents in South Asia. This study describes dietary patterns, based on >91,000 7-day food frequencies among 30,702 girls and boys, aged 9-15 years in rural northwest Bangladesh. Three intake assessments per child, taken across a calendar year, were averaged to represent individual annual intake patterns for 22 food groups. Latent class analysis was used to assign individuals to dietary patterns based on class membership probabilities. The following five dietary patterns (class membership probabilities) were identified: (1) "least diverse" (0.20); (2) "traditional" (0.28); (3) "low vegetable/low fish" (0.23), (4) "moderately high meat" (0.20); and (5) "most diverse" (0.09). The least diverse pattern had the lowest median consumption of most foods and traditional had a relatively higher intake of most vegetables and fish. The most diverse pattern consumed both healthy and processed foods much more often than other patterns. The two most diverse patterns (4 and 5) were associated with higher socioeconomic status, body mass index, height-for-age Z-score, and male gender, and the least diverse pattern showed inverse associations with these characteristics. The most diverse pattern may represent an early wave of the nutrition transition in rural Bangladesh.

Indexed as

DietFeeding BehaviorRural PopulationAdolescentBangladeshBody Mass IndexChildFemaleHumansMaleNutritional StatusSex FactorsSocioeconomic FactorsadolescentBangladeshdietdietary patternsnutritionoverweightruralsocioeconomic statusstuntingunderweight

Identifiers

PMID31403718
PMCPMC7318683

What OpenQuestion holds

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LicenceCC BY
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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.