Evidence mapPaperPMID 42189481Full record

ArticleJournal of endocrinological investigation2026

Insulin resistance and sarcopenia: independent and combined associations with obesity and dietary protein intake.

Maryam Sajedizadeh, Sina Bazmi, Seyed Hossein Davoudi, Jalaledin Mirzay Razaz, Mojtaba Farjam, Reza Homayounfar

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Article in Journal of endocrinological investigation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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6 authors.

Maryam Sajedizadeh *Student Research Committee, Fasa University of Medical Sciences, Fasa, Iran.
Sina Bazmi *Noncommunicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, Iran. sinab408@gmail.com.ORCID http://orcid.org/0000-0002-2128-0924
Seyed Hossein DavoudiDepartment of Cellular and Molecular Nutrition, School of Nutrition Sciences & Food Technology, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Jalaledin Mirzay RazazDepartment of Community Nutrition, Faculty of Nutrition and Food Technology, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mojtaba FarjamNoncommunicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, Iran.
Reza HomayounfarFaculty of Nutrition Sciences and Food Technology, National Nutrition and Food Technology Research Institute (WHO Collaborating Center), Shahid Beheshti University of Medical Sciences, Tehran, Iran. r_homayounfar@yahoo.com.

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6 · The paper itself

Abstract

purposeTo evaluate the independent association between insulin resistance and sarcopenia in adults and to assess whether this relationship differs across sex, age, diabetes status, obesity, and dietary protein intake strata.

methodsThis cross-sectional analysis included 6,670 adults aged 20-70 years from the Monitoring of Metabolic Diseases Risk Factors in Tehran (MMRT) cohort. Sarcopenia was defined as the lowest two population quintiles of skeletal muscle index (SMI) measured via dual-energy X-ray absorptiometry (DXA). Insulin resistance was quantified using the Homeostasis Model Assessment (HOMA-IR). Multivariable logistic regression models adjusted for demographic, lifestyle, socioeconomic, biochemical, and clinical covariates. Subgroup and combined-phenotype analyses were performed by sex, age, diabetes, obesity, and protein intake levels.

resultsSarcopenia prevalence was 39.6%. Participants with sarcopenia were older, had higher BMI and HOMA-IR, and lower physical activity, socioeconomic status, and macronutrient intake. Higher HOMA-IR was associated with 2.64-fold greater odds of sarcopenia (95%CI:2.25-3.10,p < 0.001). Associations persisted across subgroups and were stronger in females (OR = 3.43) than males (OR = 1.47). Insulin-resistant participants with obesity had the highest sarcopenia odds (OR = 4.47), followed by non-obese insulin-resistant individuals (OR = 2.96) and insulin-sensitive individuals with obesity (OR = 1.49). Low protein intake amplified the effect of insulin resistance (OR = 2.92), while higher protein intake partially mitigated risk (OR = 1.81). Mean SMI decreased progressively across HOMA-IR quartiles.

conclusionInsulin resistance is independently and strongly associated with sarcopenia, particularly among females and individuals with obesity. Coexistence of low protein intake and insulin resistance markedly worsens muscle loss, suggesting that targeted metabolic and nutritional interventions may help preserve muscle mass in insulin-resistant populations.

Indexed as

Dietary ProteinsInsulin ResistanceMuscle MassObesitySarcopenia

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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.