Evidence map›Paper›PMID 33386624›Full record

ArticleAmerican journal of physical anthropology2021

A Novel method for the identification and quantification of weight faltering.

Daniel J Naumenko, James Dykes, G Kesler O'Connor, Zofia Stanley, Nabeel Affara, Andrew M Doel, Saikou Drammeh, David B Dunger, Abdoulie Faal, Ken K Ong and 4 more

Abstract read
In one paragraph

Article in American journal of physical anthropology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Observational
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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

14 authors.

Daniel J NaumenkoGrowth and Development Lab, Department of Anthropology, University of Colorado Boulder, Boulder, Colorado, USA.
James DykesHealth and Society Program, Institute of Behavioral Science, University of Colorado Boulder, Boulder, Colorado, USA.
G Kesler O'ConnorDepartment of Applied Mathematics, University of Colorado Boulder, Boulder, Colorado, USA.
Zofia StanleyDepartment of Applied Mathematics, University of Colorado Boulder, Boulder, Colorado, USA.
Nabeel AffaraDepartment of Pathology, University of Cambridge, Cambridge, UK.
Andrew M DoelDepartment of Women and Children's Health, King's College London, London, UK.
Saikou DrammehMRC Unit The Gambia at London School of Hygiene and Tropical Medicine, Banjul, Gambia.
David B DungerDepartment of Paediatrics, University of Cambridge School of Clinical Medicine, Cambridge, UK.
Abdoulie FaalMRC Unit The Gambia at London School of Hygiene and Tropical Medicine, Banjul, Gambia.
Ken K OngDepartment of Paediatrics, University of Cambridge School of Clinical Medicine, Cambridge, UK.
Fatou SossehMRC Unit The Gambia at London School of Hygiene and Tropical Medicine, Banjul, Gambia.
Andrew M PrenticeMRC Unit The Gambia at London School of Hygiene and Tropical Medicine, Banjul, Gambia.
Sophie E MooreDepartment of Women and Children's Health, King's College London, London, UK.
Robin M BernsteinGrowth and Development Lab, Department of Anthropology, University of Colorado Boulder, Boulder, Colorado, USA.ORCID 0000-0001-8805-7527

Funding

Medical Research Council MC-A760-5QX00Medical Research Council MC_U123292701Medical Research Council MC_UP_1005/1Medical Research Council MC_UU_00006/2Medical Research Council MC_UU_00026/3Medical Research Council MC_UU_12015/2Medical Research Council MR/P012019/1
6 · The paper itself

Abstract

objectiveWe describe a new method for identifying and quantifying the magnitude and rate of short-term weight faltering episodes, and assess how (a) these episodes relate to broader growth outcomes, and (b) different data collection intervals influence the quantification of weight faltering. MATERIALS AND

methodsWe apply this method to longitudinal growth data collected every other day across the first year of life in Gambian infants (n = 124, males = 65, females = 59). Weight faltering episodes are identified from velocity peaks and troughs. Rate of weight loss and regain, maximum weight loss, and duration of each episode were calculated. We systematically reduced our dataset to mimic various potential measurement intervals, to assess how these intervals affect the ability to derive information about short-term weight faltering episodes. We fit linear models to test whether metrics associated with growth faltering were associated with growth outcomes at 1 year, and generalized additive mixed models to determine whether different collection intervals influence episode identification and metrics.

resultsThree hundred weight faltering episodes from 119 individuals were identified. The number and magnitude of episodes negatively impacted growth outcomes at 1 year. As data collection interval increases, weight faltering episodes are missed and the duration of episodes is overestimated, resulting in the rate of weight loss and regain being underestimated.

conclusionsThis method identifies and quantifies short-term weight faltering episodes, that are in turn negatively associated with growth outcomes. This approach offers a tool for investigators interested in understanding how short-term weight faltering relates to longer-term outcomes.

Indexed as

Anthropology, PhysicalBody WeightChild DevelopmentFailure to ThriveGambiaGrowth DisordersHumansInfantInfant, NewbornModels, StatisticalRetrospective StudiesWasting Syndromegrowth falteringinfancystuntingthe Gambiawasting

Identifiers

PMID33386624
PMCPMC8247282

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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.