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ArticleHealth science reports2025

Exploring the Relationship Among Malnutrition, Intake of Various Food Groups, and Sarcopenia in Elderly Population: A Cross-Sectional Analysis.

Mohammad Mehdi Mousavi Nasab, Armin Khavandegar, Hossein Fakhrzadeh, Mitra Moodi, Keyvan Karimi, Sarmad Salehi, Masoumeh Khorashadizadeh, Hanieh-Sadat Ejtahed, Farshad Sharifi

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Article in Health science reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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5 · Who and what money

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9 authors.

Mohammad Mehdi Mousavi NasabSchool of Medicine Shahid Beheshti University of Medical Sciences Tehran Iran.
Armin KhavandegarSina Trauma and Surgery Research Center Tehran University of Medical Sciences Tehran Iran.
Hossein FakhrzadehElderly Health Research Center, Endocrinology and Metabolism Population Sciences Institute Tehran University of Medical Sciences Tehran Iran.
Mitra MoodiGeriatric Health Research Center Birjand University of Medical Sciences Birjand Iran.
Keyvan KarimiDepartment of Epidemiology and Biostatistics, School of Public Health Tehran University of Medical Sciences Tehran Iran.
Sarmad SalehiDepartment of Epidemiology and Biostatistics, School of Public Health Tehran University of Medical Sciences Tehran Iran.
Masoumeh KhorashadizadehGeriatric Health Research Center Birjand University of Medical Sciences Birjand Iran.
Hanieh-Sadat EjtahedObesity and Eating Habits Research Center, Endocrinology and Metabolism Clinical Sciences Institute Tehran University of Medical Sciences Tehran Iran.ORCID https://orcid.org/0000-0002-6395-4915
Farshad SharifiElderly Health Research Center, Endocrinology and Metabolism Population Sciences Institute Tehran University of Medical Sciences Tehran Iran.ORCID https://orcid.org/0000-0002-2035-6587

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Malnutrition and specific food groups may cause sarcopenia in elderly persons. Methods: A cross-sectional analysis of an ongoing cohort study (Birjand Longitudinal Aging Study) was performed in this study. Data from elderly people was collected from September 2018 to April 2019. Gait speed, handgrip strength, and muscle mass determined sarcopenia and likely sarcopenia. A Mini Nutritional Assessment (MNA) questionnaire was used to assess malnutrition. Regression analyses reported odds ratios (OR) with 95% confidence intervals (CI), adjusted for confounders, and determined statistical significance at a Results: Data from 1344 elderly participants revealed that 136 individuals (10.11%) had sarcopenia, while 417 participants (31.02%) were identified with probable sarcopenia. The mean age ( ± SD) of the total participants was 69.7 (7.5) years. In the crude models, consumption of animal protein sources (OR = 0.59, 95% CI = 0.37-0.96) as well as fruits and vegetables (OR = 0.52, 95% CI = 0.32-0.85) had lower odds of sarcopenia. Milk and dairy products also had lower odds of sarcopenia by 37% (OR = 0.63, 95% CI = 0.41-0.98). After correcting for confounders, most relationships disappeared and no dietary group predicted sarcopenia. Malnutrition increased the odds of sarcopenia in the crude model (OR = 2.82, 95% CI = 1.93-4.12) and after age and sex adjustment (aOR = 2.05, 95% CI = 1.33-3.15). Besides, malnutrition also increased probable sarcopenia in the fully adjusted model for all confounding factors (aOR = 1.36, 95% CI = 1.03-1.81). Conclusion: Malnutrition may increase the risk of sarcopenia in older adults. Consuming animal protein, fruits, vegetables, and dairy products decreases the odds of sarcopenia slightly. Long-term studies are needed to confirm these findings.

Indexed as

dietary intakemalnutritionmuscle strengthnutrition and agingolder adultssarcopenia

Identifiers

PMID40746916
PMCPMC12311315

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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 Socratic graph.