Evidence map›Paper›PMID 38745053›Full record

ArticleEuropean journal of clinical nutrition2024

Statistical assessment of reliability of anthropometric measurements in the multi-site South African National Dietary Intake Survey 2022.

Sanja Nel, Jeroen de Man, Louise van den Berg, Friedeburg Anna Maria Wenhold

Abstract readMulticenter Study
In one paragraph

Article in European journal of clinical nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Sanja NelUniversity of Pretoria, Department of Human Nutrition, Faculty of Health Sciences, Pretoria, South Africa. nel.sanja@gmail.com.ORCID http://orcid.org/0000-0003-3175-7340
Jeroen de ManSchool of Public Health, Faculty of Community and Health Sciences, University of the Western Cape, Cape Town, South Africa.ORCID http://orcid.org/0000-0002-3196-8757
Louise van den BergUniversity of the Free State, Department of Nutrition and Dietetics, School of Health and Rehabilitation Sciences, Faculty of Health Sciences, Bloemfontein, South Africa.
Friedeburg Anna Maria WenholdUniversity of Pretoria, Department of Human Nutrition, Faculty of Health Sciences, Pretoria, South Africa.ORCID http://orcid.org/0000-0003-1140-5065

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnthropometric data quality in large multicentre nutrition surveys is seldom adequately assessed. In preparation for the South African National Dietary Intake Survey (NDIS-2022), this study assessed site leads' and fieldworkers' intra- and inter-rater reliability for measuring weight, length/height, mid-upper arm circumference (MUAC), waist circumference (WC) and calf circumference (CC).

methodsStandardised training materials and measurement protocols were developed, and new anthropometric equipment was procured. Following two training rounds (12 site lead teams, 46 fieldworker teams), measurement reliability was assessed for both groups, using repeated measurements of volunteers similar to the survey target population. Reliability was statistically assessed using the technical error of measurement (TEM), relative TEM (%TEM), intra-class correlation coefficient (ICC) and coefficient of reliability (R). Agreement was visualised with Bland-Altman analysis.

resultsBy %TEM, the best reliability was achieved for weight (%TEM = 0.260-0.923) and length/height (%TEM = 0.434-0.855), and the poorest for MUAC by fieldworkers (%TEM = 2.592-3.199) and WC (%TEM = 2.353-2.945). Whole-sample ICC and R were excellent ( > 0.90) for all parameters except site leads' CC inter-rater reliability (ICC = 0.896, R = 0.889) and fieldworkers' inter-rater reliability for MUAC in children under two (ICC = 0.851, R = 0.881). Bland-Altman analysis revealed no significant bias except in fieldworkers' intra-rater reliability of length/height measurement in adolescents/adults ( + 0.220 (0.042, 0.400) cm). Reliability was higher for site leads vs. fieldworkers, for intra-rater vs. inter-rater assessment, and for weight and length/height vs. circumference measurements.

conclusionNDIS-2022 site leads and fieldworkers displayed acceptable reliability in performing anthropometric measurements, highlighting the importance of intensive training and standardised measurement protocols. Ongoing reliability assessment during data collection is recommended.

Indexed as

AnthropometryNutrition SurveysAdolescentAdultBody HeightBody WeightChildDiet SurveysFemaleHumansMaleMiddle AgedReproducibility of ResultsSouth AfricaWaist CircumferenceYoung Adult

Identifiers

PMID38745053
PMCPMC11537951

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