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Wasting Syndrome

Metabolism and Endocrine Disease · NLM MeSH · updated 2026-11-04 · version 1

Citations verified against PubMedNot yet clinician-reviewed10 referencesApproximately 5 min read

A condition of involuntary weight loss of greater then 10% of baseline body weight.

Table of Contents

1. Definition2. Research landscape3. Reading the evidence4. Open-access studies5. Key reviews6. References7. About this article

Definition and research guide

This page combines a MeSH definition, publication statistics and selected research abstracts. It is a starting point for reading the literature, not a medical textbook or a systematic evidence review.

Content available: 4 complete abstracts (1,004 words), 10 references. Full article text is not stored or reproduced here; follow the PMID, DOI or PMC links to read the original sources and their access terms.

Definition

A condition of involuntary weight loss of greater then 10% of baseline body weight. It is characterized by atrophy of muscles and depletion of lean body mass. Wasting is a sign of malnutrition as a result of inadequate dietary intake, malabsorption, or hypermetabolism.

Definition: NLM Medical Subject Headings (MeSH) scope note (Public domain (U.S. National Library of Medicine); attribution requested). View the MeSH record.

Also known as: Wasting Syndromes; Wasting Disease; Wasting Diseases.

Where it fits in the MeSH classification

Broader topics
Metabolic Diseases; Nutrition Disorders
Narrower topics
HIV Wasting Syndrome
See also
Cachexia

Related concepts

  • Malnutrition

Research landscape

PubMed indexes 2,167 records tagged with the MeSH heading “Wasting Syndrome” (counts retrieved 2026-10-31). 369 of them (17.0%) were published from 2020 onward, and the busiest period so far is 2000-2009 with 787 records.

Reviews account for 430 records (19.8%) and meta-analyses for 35. Randomized controlled trials number 117 (5.4%) as a share of all records on the topic.

PubMed records by publication periodthrough 1999: 364 records; 2000-2009: 787 records; 2010-2019: 647 records; 2020 onward: 369 records364through 19997872000-20096472010-20193692020 onward
Records in PubMed indexed with this heading, by publication period. Real counts from NCBI E-utilities; the final period covers only part of the current year. Volume reflects how much has been published, not how strong the evidence is.
Show the data
PeriodRecords
through 1999364
2000-2009787
2010-2019647
2020 onward369
Share of records by publication typeReviews: 19.8 percent; Meta-analyses: 1.6 percent; Randomized controlled trials: 5.4 percentReviews19.8% (430)Meta-analyses1.6% (35)Randomized controlled trials5.4% (117)
Share of all PubMed records on this heading that carry each publication type. Types overlap with other records, so the shares do not sum to 100%.
Publication-type chart data
Publication types among 2,167 PubMed records
TypeRecordsShare
Reviews43019.8%
Meta-analyses351.6%
Randomized controlled trials1175.4%

Method: PubMed query "Wasting Syndrome"[MeSH Terms] with publication-type and date filters, retrieved 2026-10-31.

Reading the evidence in metabolism and endocrine disease

Studies of diabetes, obesity and hormone disorders often follow blood tests such as glucose, HbA1c or hormone levels, which are stand-ins for outcomes that matter more, such as complications. Lifestyle and diet research is largely observational, and weight and diabetes trials can differ in how long people were followed. Nothing on this page is advice about medicines, insulin or diet; talk to a qualified clinician about your own situation. Check whether the outcome was a lab value or a clinical event, and the type and duration of the condition studied.

Evidence from open-access studies

These open-access studies come from PubMed’s best-match results for this heading (papers whose main topic it is), ranked here by citation count, with one recent addition. Each abstract is reproduced in full under its recorded open licence so that you can read the authors’ own words. They illustrate the literature; they are not a systematic summary of it. Citation counts measure attention, not reliability or clinical benefit.

Study comparison — selected abstracts, not a systematic review
Study / authorsYearSource label / designEurope PMC citationsLicence / source
Stunting, Wasting and Underweight in Sub-Saharan Africa: A Systematic Review
Akombi BJ, Agho KE, Hall JJ, Wali N, Renzaho AMN, Merom D
2017Systematic review
Design not recorded in structured metadata
277cc by
PMID 28788108 · DOI · PMC5580567
Prevalence thresholds for wasting, overweight and stunting in children under 5 years
de Onis M, Borghi E, Arimond M, Webb P, Croft T, Saha K, et al.
2019Research article
Design not recorded in structured metadata
219cc by
PMID 30296964 · DOI · PMC6390397
Factors Associated With Child Stunting, Wasting, and Underweight in 35 Low- and Middle-Income Countries
Li Z, Kim R, Vollmer S, Subramanian SV
2020Research article
Design not recorded in structured metadata
197cc by
PMID 32320037 · DOI · PMC7177203
Wasting syndrome as a predictive factor for adverse health outcomes in older adults: A prospective cohort study
Dos Santos RCB, Pinho CPS, Santos EMC, Patricio MCDS, do Nascimento SB, Santos LS, et al.
2026Research article
Design not recorded in structured metadata
0cc by
PMID 40985964 · DOI · PMC13193492

Stunting, Wasting and Underweight in Sub-Saharan Africa: A Systematic Review [1]

Systematic review Akombi BJ, Agho KE, Hall JJ, Wali N, Renzaho AMN, Merom D · · 2017 · cited 277 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Introduction: Child undernutrition is a major public health problem.
Closing excerpt
To yield a sustainable improvement in child nutrition in SSA, a holistic multi-strategy community-based approach is needed that targets the factors associated with undernutrition, thereby setting the region on the path to achieving the WHO global nutrition target by 2025.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (237 words)

Introduction: Child undernutrition is a major public health problem. One third of all undernourished children globally reside in Sub-Saharan Africa (SSA). The aim of this study was to systematically review studies to determine the factors associated with stunting, wasting and underweight in SSA and contribute to the existing body of evidence needed for the formulation of effective interventions. Methods: This systematic review was conducted using the 2015 Preferred Reporting Items for Systematic reviews and Meta-Analysis (PRISMA) guidelines. Five computerized bibliographic databases were searched: Scopus, PubMed, PsycINFO, CINAHL and Embase. The included studies were rated using eight quality-appraisal criteria derived from the Strengthening the Reporting of Observational studies in Epidemiology (STROBE) checklist: sample size, sampling methodology, response rate, outcome measures, statistical analyses, control for confounding, study limitation, and ethical consideration. Results: Of a total of 2810 articles retrieved from the five databases, 49 studies met our inclusion criteria. The most consistent factors associated with childhood stunting, wasting and underweight in SSA were: low mother's education, increasing child's age, sex of child (male), wealth index/SES (poor household), prolonged duration of breastfeeding (>12 months), low birth weight, mother's age (Conclusions: The factors that predispose a child to undernutrition are multisectoral. To yield a sustainable improvement in child nutrition in SSA, a holistic multi-strategy community-based approach is needed that targets the factors associated with undernutrition, thereby setting the region on the path to achieving the WHO global nutrition target by 2025.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 28788108 · DOI · PMC5580567

Prevalence thresholds for wasting, overweight and stunting in children under 5 years [2]

Research article de Onis M, Borghi E, Arimond M, Webb P, Croft T, Saha K, et al. · · 2019 · cited 219 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
ObjectivePrevalence ranges to classify levels of wasting and stunting have been used since the 1990s for global monitoring of malnutrition.
Closing excerpt
Harmonized terminology will help avoid confusion and promote appropriate interventions.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (212 words)

ObjectivePrevalence ranges to classify levels of wasting and stunting have been used since the 1990s for global monitoring of malnutrition. Recent developments prompted a re-examination of existing ranges and development of new ones for childhood overweight. The present paper reports from the WHO-UNICEF Technical Expert Advisory Group on Nutrition Monitoring.DesignThresholds were developed in relation to sd of the normative WHO Child Growth Standards. The international definition of 'normal' (2 sd below/above the WHO standards median) defines the first threshold, which includes 2·3 % of the area under the normalized distribution. Multipliers of this 'very low' level (rounded to 2·5 %) set the basis to establish subsequent thresholds. Country groupings using the thresholds were produced using the most recent set of national surveys.SettingOne hundred and thirty-four countries.SubjectsChildren under 5 years.ResultsFor wasting and overweight, thresholds are: 'very low' (≈6 times 2·5 %). For stunting, thresholds are: 'very low' (≈12 times 2·5 %).ConclusionsThe proposed thresholds minimize changes and keep coherence across anthropometric indicators. They can be used for descriptive purposes to map countries according to severity levels; by donors and global actors to identify priority countries for action; and by governments to trigger action and target programmes aimed at achieving 'low' or 'very low' levels. Harmonized terminology will help avoid confusion and promote appropriate interventions.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 30296964 · DOI · PMC6390397

Factors Associated With Child Stunting, Wasting, and Underweight in 35 Low- and Middle-Income Countries [3]

Research article Li Z, Kim R, Vollmer S, Subramanian SV · · 2020 · cited 197 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
ImportanceEvidence on the relative importance of various factors associated with child anthropometric failures (ie, stunting, underweight, and wasting) and their heterogeneity across countries can inform global and national health agendas.
Closing excerpt
Poverty reduction, women's education, and nutrition programs for households could be important strategies for reducing child undernutrition; however, country-specific contexts should be considered in national policy discussions.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (343 words)

ImportanceEvidence on the relative importance of various factors associated with child anthropometric failures (ie, stunting, underweight, and wasting) and their heterogeneity across countries can inform global and national health agendas.ObjectiveTo assess the relative significance of factors associated with child anthropometric failures in 35 low- and middle-income countries (LMICs).Design, setting, and participantsThis cross-sectional study of 299 353 children who were born singleton and aged 12 to 59 months with nonpregnant mothers and valid anthropometric measures assessed the strengths of associations of 26 factors with child stunting, underweight, and wasting, using Demographic and Health Surveys (2007-2018) from 35 LMICs. Data analysis was conducted from July 2019 to February 2020.ExposuresA total of 9 direct factors (ie, dietary diversity score; breastfeeding initiation; vitamin A supplements; use of iodized salt; infectious disease in past 2 weeks; oral rehydration therapy for children with diarrhea; care seeking for suspected pneumonia; full vaccination; and indoor pollution) and 17 indirect factors (household wealth; maternal and paternal education; maternal and paternal height and body mass index; maternal autonomy for health care, movement, and money; water source; sanitation facility; stool disposal; antenatal care; skilled birth attendant at delivery; family planning needs; and maternal marriage age) were assessed.Main outcomes and measuresThree anthropometric failure outcomes were constructed based on the 2006 World Health Organization child growth standards: stunting (height-for-age z score less than -2 standard deviations [SDs]), underweight (weight-for-age z score less than -2 SDs), and wasting (weight-for-height z score less than -2 SDs).ResultsAmong the 299 353 children aged 12 to 59 months included in the analysis, 38.8% (95% CI, 38.6%-38.9%) had stunting, 27.5% (95% CI, 27.3%-27.6%) had underweight, and 12.9% (95% CI, 12.8%-13.0%) had wasting. In the pooled sample, short maternal height was the strongest factor associated with child stunting (odds ratio [OR], 4.7; 95% CI, 4.5-5.0; P Conclusions and relevanceIn this study, socioeconomic conditions and parental nutritional status were the strongest factors associated with child anthropometric failures. Poverty reduction, women's education, and nutrition programs for households could be important strategies for reducing child undernutrition; however, country-specific contexts should be considered in national policy discussions.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 32320037 · DOI · PMC7177203

Wasting syndrome as a predictive factor for adverse health outcomes in older adults: A prospective cohort study [4]

Research article Dos Santos RCB, Pinho CPS, Santos EMC, Patricio MCDS, do Nascimento SB, Santos LS, et al. · · 2026

Abstract reading summary — source excerpts
Opening excerpt
Wasting syndrome (WS), also known as unintentional weight loss, is defined as a 5% reduction in body weight over a period of 6-12 months.
Closing excerpt
Although WS was not an independent predictor of mortality in the multivariate model, it was associated with earlier deaths in the unadjusted survival analysis.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (212 words)

Wasting syndrome (WS), also known as unintentional weight loss, is defined as a 5% reduction in body weight over a period of 6-12 months. The mortality associated with WS in older adults has not been adequately explored. The objective of this study was to investigate this relationship in hospitalized older individuals over an 18-month period. 175 older adults who were hospitalized were observed for 18 months to observe outcomes such as new hospitalizations within this timeframe, length of hospital stay, and death. Weight loss was defined as the difference between measured weight and self-reported weight over the last 6-12 months. Outcomes were obtained through telephone tracking. WS was observed in 45.7% of older individuals at study baseline, with 46.8% experiencing hospital stays of ≥10 days. 26.9% of these patients died, and 43.4% were rehospitalized during the follow-up. Deaths occurred earlier among patients with WS compared with unexposed individuals (P = 0.028) according to the Kaplan-Meier curve, but in the Cox regression WS was not significantly associated with mortality. In conclusion, a high prevalence of WS was observed in hospitalized older people, with a significant association with functional dependence. Although WS was not an independent predictor of mortality in the multivariate model, it was associated with earlier deaths in the unadjusted survival analysis.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 40985964 · DOI · PMC13193492

Key reviews and meta-analyses

The most cited review-type papers among PubMed’s best-match results for this heading, listed with bibliographic details only. Follow the links for the full text and access terms.

  • Research article Maternal and child undernutrition: global and regional exposures and health consequences [5]
    Black RE, Allen LH, Bhutta ZA, Caulfield LE, de Onis M, Ezzati M, et al. · Lancet · 2008 · cited 3,404 times (Europe PMC)
  • Research article Etiology of the protein-energy wasting syndrome in chronic kidney disease: a consensus statement from the International Society of Renal Nutrition and Metabolism (ISRNM) [6]
    Carrero JJ, Stenvinkel P, Cuppari L, Ikizler TA, Kalantar-Zadeh K, Kaysen G, et al. · J Ren Nutr · 2013 · cited 585 times (Europe PMC)
  • Research article Update on inflammation in chronic kidney disease [7]
    Akchurin OM, Kaskel F · Blood Purif · 2015 · cited 449 times (Europe PMC)
  • Research article Tumor necrosis factor-alpha and muscle wasting: a cellular perspective [8]
    Reid MB, Li YP · Respir Res · 2001 · cited 340 times (Europe PMC)
  • Research article Role of beta-adrenoceptor signaling in skeletal muscle: implications for muscle wasting and disease [9]
    Lynch GS, Ryall JG · Physiol Rev · 2008 · cited 319 times (Europe PMC)
  • Research article Cardiac cachexia: a syndrome with impaired survival and immune and neuroendocrine activation [10]
    Anker SD, Coats AJ · Chest · 1999 · cited 269 times (Europe PMC)

References

  1. Akombi BJ, Agho KE, Hall JJ, Wali N, Renzaho AMN, Merom D. Stunting, Wasting and Underweight in Sub-Saharan Africa: A Systematic Review. . 2017. PMID 28788108 · DOI · PMC5580567
  2. de Onis M, Borghi E, Arimond M, Webb P, Croft T, Saha K, et al.. Prevalence thresholds for wasting, overweight and stunting in children under 5 years. . 2019. PMID 30296964 · DOI · PMC6390397
  3. Li Z, Kim R, Vollmer S, Subramanian SV. Factors Associated With Child Stunting, Wasting, and Underweight in 35 Low- and Middle-Income Countries. . 2020. PMID 32320037 · DOI · PMC7177203
  4. Dos Santos RCB, Pinho CPS, Santos EMC, Patricio MCDS, do Nascimento SB, Santos LS, et al.. Wasting syndrome as a predictive factor for adverse health outcomes in older adults: A prospective cohort study. . 2026. PMID 40985964 · DOI · PMC13193492
  5. Black RE, Allen LH, Bhutta ZA, Caulfield LE, de Onis M, Ezzati M, et al.. Maternal and child undernutrition: global and regional exposures and health consequences. Lancet. 2008. PMID 18207566 · DOI
  6. Carrero JJ, Stenvinkel P, Cuppari L, Ikizler TA, Kalantar-Zadeh K, Kaysen G, et al.. Etiology of the protein-energy wasting syndrome in chronic kidney disease: a consensus statement from the International Society of Renal Nutrition and Metabolism (ISRNM). J Ren Nutr. 2013. PMID 23428357 · DOI
  7. Akchurin OM, Kaskel F. Update on inflammation in chronic kidney disease. Blood Purif. 2015. PMID 25662331 · DOI
  8. Reid MB, Li YP. Tumor necrosis factor-alpha and muscle wasting: a cellular perspective. Respir Res. 2001. PMID 11686894 · DOI · PMC59514
  9. Lynch GS, Ryall JG. Role of beta-adrenoceptor signaling in skeletal muscle: implications for muscle wasting and disease. Physiol Rev. 2008. PMID 18391178 · DOI
  10. Anker SD, Coats AJ. Cardiac cachexia: a syndrome with impaired survival and immune and neuroendocrine activation. Chest. 1999. PMID 10084500 · DOI

About this article

Sources
NLM Medical Subject Headings (definition, synonyms); NCBI PubMed (counts, identifiers); Europe PMC (open-access abstracts and citation counts).
Verification
Every reference was resolved against PubMed on 2026-11-04; title, year and DOI matched.
Review state
automated source verified; no human expert review has been recorded yet.
Version
1, last updated 2026-11-04.

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Related research topics

  • MalnutritionMetabolism and Endocrine Disease
  • Malabsorption SyndromesDigestive System and Liver
  • Glucose IntoleranceMetabolism and Endocrine Disease
  • Graft vs Host DiseaseImmunology
  • Celiac DiseaseDigestive System and Liver
  • AcidosisMetabolism and Endocrine Disease

All 77 articles in Metabolism and Endocrine Disease →

At a glance

2,167
PubMed records on this heading
17%
published since 2020
430
review articles
117
randomized trials
10
verified references below

Counts come from PubMed on 2026-10-31; they show how much has been written, not how strong the evidence is.

Related topics See all →

  • MalnutritionMetabolism and Endocrine Disease
  • Malabsorption SyndromesDigestive System and Liver
  • Glucose IntoleranceMetabolism and Endocrine Disease
  • Graft vs Host DiseaseImmunology
  • Celiac DiseaseDigestive System and Liver

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Sources

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