Evidence map›Paper›PMID 42189412›Full record

ReviewCurrent nutrition reports2026

Modernization of Nutritional Assessment in Population Surveys: Integrating Anthropometry, Body Composition, and Biomarkers in the Digital Era.

Tatiana Palotta Minari

Abstract readReview
In one paragraph

Review in Current nutrition reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Tatiana Palotta MinariDepartment of Bioscience, Federal University of São Paulo (UNIFESP), Santos, SP, 11015-020, Brazil. tatianaminari@gmail.com.ORCID 0000-0003-2008-9287

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewThis narrative review examines current approaches to nutritional status assessment in population-based surveys, emphasizing the complementary roles of anthropometric measurements, body composition analysis, and biochemical indicators. It aims to critically analyze methodological advances, operational constraints, and emerging strategies to improve the quality and applicability of nutritional surveillance in public health. RECENT

findingsAnthropometry remains the most widely used method due to its feasibility and scalability, although its diagnostic capacity is limited. Body composition techniques provide more detailed insights into tissue distribution but are constrained by cost and infrastructure requirements. Biochemical indicators offer high sensitivity for detecting metabolic and micronutrient alterations, yet their use in large-scale surveys is restricted by logistical and ethical challenges. The COVID-19 pandemic exposed vulnerabilities in data collection systems and highlighted the need for more resilient surveillance approaches. In parallel, digital technologies have expanded possibilities for data integration and analysis, although their implementation remains uneven across settings. A comprehensive approach to nutritional assessment requires the integration of complementary methods to address the multidimensional nature of malnutrition and chronic disease monitoring. Strengthening population-based surveys depends on balancing methodological rigor with operational feasibility, alongside investments in infrastructure, workforce capacity, and data governance. Advances in digital health may enhance surveillance systems, but their impact will depend on equitable implementation and alignment with public health priorities and equity-oriented strategies.

Indexed as

AnthropometryBody CompositionNutrition AssessmentNutrition SurveysBiomarkersCOVID-19Digital HealthHumansMalnutritionNutritional StatusPublic HealthSARS-CoV-2BiomarkersAnthropometryBiochemical indicatorsBody compositionDigital healthNutritional assessmentNutritional surveillancePopulation surveysPublic health

Identifiers

PMID42189412
PMCPMC13212673

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.