Evidence map›Paper›PMID 37513680›Full record

ArticleNutrients2023

Health Risk and Underweight.

Ulrich Cuntz, Norbert Quadflieg, Ulrich Voderholzer

Abstract read
In one paragraph

Article in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Benefits of an Innovative 90-Day Longevity Workplace Program on Health in the United Arab Emirates (UAE).International journal of environmental research and public health · 2025
    Article
  7. Article
  8. Article
  9. The current clinical approach to feeding and eating disorders aimed to increase personalization of management.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2025
    Article
  10. 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

3 authors.

Ulrich CuntzCenter for Psychosomatic Medicine, Schoen Klinik Roseneck, Am Roseneck 6, 83209 Prien am Chiemsee, Germany.ORCID 0000-0002-2394-9935
Norbert QuadfliegDepartment of Psychiatry and Psychotherapy, Ludwig Maximilians Universität, 80336 Munich, Germany.ORCID 0000-0001-6252-3315
Ulrich VoderholzerCenter for Psychosomatic Medicine, Schoen Klinik Roseneck, Am Roseneck 6, 83209 Prien am Chiemsee, Germany.ORCID 0000-0003-0261-3145

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anorexia nervosa is associated with a significant risk of morbidity and mortality. In clinical practice, health risk is assessed and estimated using routinely collected laboratory data. This study will develop a risk score using clinically relevant laboratory parameters. The related question is how to estimate the health risk associated with underweight using body weight, height and age.

methodsWe used routinely collected laboratory parameters from a total of 4087 patients. The risk score was calculated on the basis of electrolytes, blood count, transaminases and LDH. The nine parameters used were summed as zlog-transformed values. Where appropriate, the scales were inverted so that high values represented higher risk. For statistical prediction of the risk score, weight/height and age reference values from the WHO, the CDC (Center of Disease Control) and representative studies of German children and adults (KIGGS and NNS) were used.

resultsThe score calculated from nine laboratory parameters already shows a convincing relationship with BMI. Among the weight measures used for height and age, the z-score from the CDC reference population emerged as the best estimate, explaining 34% of the variance in health risk measured by the laboratory score. The percentile rank for each age-specific median weight from the KIGGS/NNS still explained more than 31% of the variance. In contrast, percentiles explained less variance than BMI without age correction.

conclusionsThe score we used from routine laboratory parameters appears to be an appropriate measure for assessing the health risk associated with underweight, as measured by the quality of the association with BMI. For estimating health risk based on weight, height and age alone, z-scores and percentages of age-specific median weight, as opposed to percentiles, are appropriate parameters. However, the study also shows that existing age-specific BMI reference values do not represent risk optimally. Improved statistical estimation methods would be desirable.

Indexed as

Body HeightThinnessAdultBody Mass IndexBody WeightChildHumansReference ValuesRisk Factorsanorexia nervosaeating disordershealth riskmorbiditymortality percentilesunderweight

Identifiers

PMID37513680
PMCPMC10383423

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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.