Excessive Visceral Fat and Sarcopenia: Independent and Combined Health Risks in Adults Over 30

Todd Lloyd
July 18, 2025

Introduction and Scope

Excessive visceral adipose tissue (VAT) and sarcopenia are two interrelated but distinct conditions that have emerged as critical determinants of morbidity and mortality in adults over 30. VAT, the fat depot located within the abdominal cavity, is now recognized as a uniquely pathogenic tissue with independent metabolic, cardiovascular, and organ-specific consequences, distinct from subcutaneous adiposity. Sarcopenia, defined as the progressive loss of skeletal muscle mass and function, is a major contributor to physical disability, frailty, and mortality, with effects that extend well beyond the elderly into midlife. The coexistence of these conditions—sarcopenic obesity—confers synergistic risks, but the primary focus of this report is to provide a comprehensive, quantitative, and actionable synthesis of the independent consequences of excessive VAT and sarcopenia in adults over 30, with a secondary discussion of their combined effects. This report integrates the most current evidence from large cohort studies, meta-analyses, and clinical guidelines, with an emphasis on precise diagnostic thresholds, quantitative risk estimates, and evidence-based management strategies.

Independent Consequences of Excessive Visceral Adipose Tissue

Metabolic and Cardiovascular Outcomes

Excessive VAT is a potent, independent risk factor for a spectrum of adverse metabolic and cardiovascular outcomes. The Framingham Heart Study demonstrated that VAT, more than subcutaneous adipose tissue (SAT), is associated with higher fasting plasma glucose, hyperinsulinemia, and increased odds of metabolic syndrome, independent of BMI and waist circumference. Specifically, each standard deviation increase in VAT was associated with an odds ratio (OR) of 4.7 for metabolic syndrome in women and 4.2 in men, compared to 3.0 and 2.5 for SAT, respectively.[1] Mendelian randomization studies confirm a causal relationship between VAT and type 2 diabetes, with an OR of 7.34 (95% CI: 4.48–12.0) in women and 2.50 (95% CI: 1.98–3.14) in men.[2] VAT is also strongly associated with hypertension, dyslipidemia (elevated triglycerides, low HDL, increased small dense LDL), and impaired glucose tolerance, with these associations persisting after adjustment for total adiposity.[1][3-6]

The pathophysiology of VAT-driven disease is multifactorial. VAT is characterized by increased lipolytic activity, leading to elevated free fatty acid (FFA) flux into the portal circulation, which promotes hepatic insulin resistance, increased gluconeogenesis, and dysregulated lipid metabolism.[3][7] VAT also secretes proinflammatory adipokines (e.g., IL-6, TNF-α, resistin) that exacerbate systemic insulin resistance and low-grade inflammation, further clustering metabolic risk factors.[3-4]

VAT is a robust predictor of incident cardiovascular disease (CVD), including hypertension, coronary artery disease, myocardial infarction, and stroke, independent of BMI and other traditional risk factors.[8] In population-based studies, the prevalence of hypertension, impaired fasting glucose, and metabolic syndrome increases linearly with increasing VAT, even after adjustment for BMI.[1][11] The American Heart Association (AHA) emphasizes that individuals with excess VAT represent a subgroup at the highest risk for CVD, regardless of their BMI, and that VAT is a more reliable marker of cardiometabolic risk than total or subcutaneous adiposity.[8]

Organ-Specific and Cognitive Consequences

Excessive VAT is closely linked to nonalcoholic fatty liver disease (NAFLD), with the most prevalent form of NAFLD found among individuals with high VAT.[8] VAT also promotes ectopic fat deposition in the kidneys, pancreas, and heart, contributing to chronic kidney disease, beta-cell dysfunction, and adverse cardiac remodeling.[5][9] VAT-driven inflammation and metabolic dysfunction are implicated in the pathogenesis of cognitive impairment and decline. Large cohort studies demonstrate that higher VAT is associated with lower scores on the Digital Symbol Substitution Test (DSST), a sensitive measure of processing speed, attention, and working memory, independent of vascular brain injury and cardiovascular risk factors. For each standard deviation increase in VAT, DSST scores decrease by 0.8 points, equivalent to approximately one year of cognitive aging.[12] This association is observed in both men and women and persists after adjustment for confounders.

The following visual from Anand et al. illustrates the relationship between VAT and cognitive performance, showing that higher VAT is associated with lower DSST scores in both sexes:

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Figure 1. Body Fat and Visceral Adipose Tissue Association With Digital Symbol Substitution Test (DSST) Stratified by Sex

Evaluation of Adiposity and Cognitive Function in Adults. JAMA Netw Open. January 31, 2022. 

Content used under license from the JAMA Network® © American Medical Association

Quantitative Diagnostic Thresholds

VAT is best quantified by imaging modalities such as DXA, CT, or MRI. Age- and sex-specific DXA VAT mass cutoffs associated with increased cardiometabolic risk are as follows: for women, ≥700 g if under 40 years and ≥800 g if 40 years or older; for men, ≥1000 g if under 40 years and ≥1200 g if 40 years or older.[11] These thresholds are strongly associated with elevated blood pressure and lipid abnormalities, particularly in adults over 40. Waist circumference (≥102 cm in men, ≥88 cm in women) is a practical surrogate, but direct VAT measurement is preferred for risk stratification.[7][11]

Independent Consequences of Sarcopenia

Physical, Functional, and Mortality Outcomes

Sarcopenia is characterized by a progressive loss of skeletal muscle mass and function, with clinical consequences that include increased risk of falls, fractures, hospitalization, and mortality. Meta-analyses demonstrate that sarcopenia is associated with a two- to four-fold increase in all-cause mortality (hazard ratio [HR] 2.00, 95% CI: 1.71–2.34), independent of age, comorbidities, and other confounders.[13-15] The risk is particularly pronounced with increasing severity of sarcopenia, with severe sarcopenia conferring even higher mortality risk.[15] Sarcopenia is also associated with a higher incidence of hospitalization, longer hospital stays, and increased rates of postoperative complications.[13][16-17]

Functionally, sarcopenia is a major contributor to physical disability, frailty, and loss of independence. Individuals with sarcopenia have more than twice the odds of developing new or worsening disability compared to those without sarcopenia.[13][18] The decline in muscle strength, particularly as measured by handgrip strength and gait speed, is a more powerful predictor of adverse outcomes than muscle mass alone.[19-20] Sarcopenia is a key component of the frailty syndrome and accelerates the transition from robust health to frailty and disability, especially in the context of acute illness or injury.[19-21]

Quality of life is significantly reduced in individuals with sarcopenia, with lower scores on health-related quality of life measures and increased risk of depression and social isolation.[20][22-23] The psychological impact of sarcopenia is increasingly recognized as an important aspect of the syndrome.

Cognitive and Mental Health Consequences

Sarcopenia is independently associated with an increased risk of cognitive impairment and accelerated cognitive decline. Systematic reviews and meta-analyses report that individuals with sarcopenia have approximately twice the odds of developing cognitive impairment compared to those without sarcopenia (OR 1.88–2.25).[24-25] The risk is particularly strong in women, Asian populations, and hospital-based cohorts.[24] Longitudinal studies confirm that sarcopenia is associated with both lower baseline cognitive performance and greater risk of cognitive decline over time, with additive effects observed when sarcopenia co-occurs with cardiometabolic risk factors such as hypertension, diabetes, dyslipidemia, or abdominal obesity.[26] Muscle strength and physical performance (e.g., handgrip strength, gait speed) are more strongly associated with cognitive outcomes than muscle mass alone.[27-28]

Quantitative Diagnostic Thresholds

Sarcopenia is diagnosed by the presence of low muscle mass and low muscle strength, with or without impaired physical performance. The most widely accepted thresholds are as follows: handgrip strength <27 kg for men and <16 kg for women; appendicular skeletal muscle index (ASMI) <7.0 kg/m² for men and <5.5 kg/m² for women; ALM-to-weight ratio <25.7% for men and <19.4% for women.[29]These cutoffs are supported by their association with functional impairment and increased mortality. Calf circumference (≤37 cm in men, ≤35.5 cm in women) and appendicular fat-free mass (the muscle mass of your legs and arms) (≤21.43 kg in men, ≤15.87 kg in women) are practical surrogates when DXA is not available.[30]

Age, Sex, and Hormonal Modifiers of VAT and Sarcopenia Consequences

Age-Related Changes

Both VAT and sarcopenia become more prevalent and severe with advancing age. VAT increases progressively after age 30, with a more pronounced acceleration after age 50, and is associated with higher risk of metabolic syndrome, type 2 diabetes, and CVD.[31-34] Sarcopenia prevalence is low in early adulthood but rises steadily after age 50, with a more rapid decline in muscle mass and function after the sixth decade.[35][29] The coexistence of these conditions—sarcopenic obesity—becomes increasingly prevalent with age and confers the highest risk of morbidity, mortality, and functional decline.[29][36]

Sex Differences and Hormonal Status

Men and women differ in their patterns of fat distribution and muscle mass across the lifespan. Premenopausal women have lower VAT and higher subcutaneous fat compared to men, but the menopausal transition is associated with accelerated gains in VAT and losses in lean mass, independent of chronological aging.[37-42] Estrogen deficiency promotes VAT accumulation and muscle loss through increased adipogenesis, reduced fatty acid oxidation, and enhanced inflammation.[38][42-45] Postmenopausal women exhibit increased risk of type 2 diabetes, metabolic syndrome, CVD, sarcopenia, and frailty.[37][46] In men, the gradual decline in testosterone with age contributes to increased VAT and loss of muscle mass, creating a vicious cycle that accelerates the development of sarcopenic obesity and its sequelae.[44-45]

The following table summarizes the age-related changes in VAT, sarcopenia, and sarcopenic obesity, highlighting the increase in prevalence and severity with age and the associated clinical implications:

Combined Effects: Sarcopenic Obesity

The coexistence of excessive VAT and sarcopenia—sarcopenic obesity—confers synergistically increased risks of cardiometabolic disease, functional decline, disability, cognitive impairment, and mortality, beyond the risks conferred by either condition alone.[47][36][59][78][82][84][85][86-95] Meta-analyses report that sarcopenic obesity is associated with a 51% increased hazard of all-cause mortality (HR 1.51), higher risk of CVD, type 2 diabetes, hypertension, metabolic syndrome, cognitive impairment, and functional limitation.[47][49][51][36][59][78][82][84][85][86-95] The risk is particularly pronounced in individuals with metabolic abnormalities and in older women after menopause.[49][55][46]

Screening, Prevention, and Management Strategies

Screening and Diagnosis

Early identification of excessive VAT and sarcopenia is critical. The AHA recommends routine assessment of VAT as a distinct risk factor for cardiometabolic disease, with waist circumference (≥102 cm in men, ≥88 cm in women) as a practical surrogate and DXA-based VAT mass as the preferred method when available.[7-8][11] 

👉 In practice, most clinical guidelines round these to:

  • ≥40 inches (men)
  • ≥35 inches (women)

These are the standard waist circumference thresholds used in U.S. guidelines (like ATP III, AHA, and CDC) for identifying abdominal obesity and elevated cardiometabolic risk.

For sarcopenia, screening should include handgrip strength (<27 kg in men, <16 kg in women), ASMI (<7.0 kg/m² in men, <5.5 kg/m² in women), and gait speed (<0.8 m/s).[29-30] Composite indices such as the Visceral Adiposity Index (VAI >1.51) and METS-VF (>6.33) are useful for risk stratification when imaging is not feasible.[72-73]

Prevention and Management

Lifestyle modification is the cornerstone of prevention and management for both VAT and sarcopenia. Regular physical activity, particularly a combination of aerobic and resistance exercise, is the most effective intervention. Aerobic exercise (≥150 minutes/week of moderate intensity) reduces VAT by approximately 6%, even without significant weight loss, and is recommended by the AHA as first-line therapy for VAT reduction.[8][63] Resistance training (2–3 sessions/week) increases muscle mass and strength by 20–35% and is essential for the prevention and treatment of sarcopenia.[61-63][67-71][86-95]Multicomponent exercise programs that integrate resistance, aerobic, and balance training yield the most robust improvements in both fat and muscle compartments.[62-63][67-71][86-95]

Nutritional optimization is also central. Adequate protein intake (1.0–1.5 g/kg/day) is recommended, with higher intakes (up to 1.2–1.5 g/kg/day) for those at risk of or with established sarcopenia.[61][64][88-95] (But don't be a wuss. Everyone is doing 1g of protein per pound of body weight per day) Diets emphasizing high-quality protein, low glycemic index carbohydrates, and healthy fats (e.g., Mediterranean diet) are associated with lower VAT and better muscle outcomes.[62][64][88-95]Correction of vitamin D deficiency is recommended to support muscle function and may reduce fat accumulation.[64][66][88-95]

Combined interventions are superior to either exercise or nutrition alone. Meta-analyses show that resistance training combined with protein supplementation leads to greater reductions in fat mass and improvements in muscle mass and strength than either intervention alone.[67-71][78-79][88-95]Neuromuscular electrical stimulation and whole-body electromyostimulation may serve as adjuncts, particularly in individuals unable to participate fully in conventional exercise programs.[63][71]

Pharmacologic therapies for VAT reduction (e.g., GLP-1 receptor agonists, SGLT2 inhibitors) are indicated in the context of obesity with metabolic complications, but their role in sarcopenia is limited and largely investigational.[66][81] Testosterone therapy may improve muscle mass and strength in hypogonadal men, but is not broadly recommended for sarcopenia outside of clear endocrine indications.[66][81] Nutraceuticals such as vitamin D, calcium, vitamin K, and agents targeting myokines (e.g., irisin) are being explored, but current evidence supports their use primarily as adjuncts to exercise and dietary interventions.[66][79][88-95]

Clinical Implementation and Barriers

Implementation of these strategies is challenged by age-related declines in motivation and function, nutritional and socioeconomic barriers, behavioral and psychosocial factors, and systemic limitations in healthcare delivery.[61-62][86-95] Multicomponent, individually tailored interventions, early and sustained engagement, addressing psychosocial and behavioral barriers, leveraging technology, personalized nutrition, integration of multidisciplinary care, and policy-level changes are all supported by the literature as effective strategies to improve long-term outcomes.[61-62][86-95]

Conclusion

In adults over 30, excessive visceral adipose tissue and sarcopenia are independent, potent risk factors for a spectrum of adverse health outcomes, including metabolic syndrome, type 2 diabetes, cardiovascular disease, organ-specific pathologies, cognitive impairment, physical disability, frailty, and mortality. The coexistence of these conditions—sarcopenic obesity—confers synergistically increased risks, particularly in older adults and postmenopausal women. Early identification using precise, validated thresholds and comprehensive, individualized management strategies anchored in lifestyle modification are essential to mitigate these risks. The integration of aerobic and resistance exercise, adequate protein and micronutrient intake, and, when appropriate, adjunctive therapies, forms the foundation of evidence-based prevention and treatment. Systematic screening and targeted interventions should be prioritized in clinical practice to reduce the substantial morbidity and mortality associated with these increasingly prevalent conditions.

References:

1.

Abdominal Visceral and Subcutaneous Adipose Tissue Compartments: Association With Metabolic Risk Factors in the Framingham Heart Study.

Fox CS, Massaro JM, Hoffmann U, et al.

Circulation. 2007;116(1):39-48. doi:10.1161/CIRCULATIONAHA.106.675355.

2.

Contribution of Genetics to Visceral Adiposity and Its Relation to Cardiovascular and Metabolic Disease.

Karlsson T, Rask-Andersen M, Pan G, et al.

Nature Medicine. 2019;25(9):1390-1395. doi:10.1038/s41591-019-0563-7.

3.

The Pathophysiology of Visceral Adipose Tissues in Cardiometabolic Diseases.

Lee MJ, Kim J.

Biochemical Pharmacology. 2024;222:116116. doi:10.1016/j.bcp.2024.116116.

4.

Pathophysiology of Human Visceral Obesity: An Update.

Tchernof A, Després JP.

Physiological Reviews. 2013;93(1):359-404. doi:10.1152/physrev.00033.2011.

5.

Characteristics of Abdominal Visceral Adipose Tissue, Metabolic Health and the Gut Microbiome in Adults.

U-Din M, Ahmed BA, Syed SA, et al.

The Journal of Clinical Endocrinology and Metabolism. 2024;109(3):680-690. doi:10.1210/clinem/dgad604.

6.

Estimated Visceral Adiposity Is Associated With Risk of Cardiometabolic Conditions in a Population Based Study.

Ruiz-Castell M, Samouda H, Bocquet V, et al.

Scientific Reports. 2021;11(1):9121. doi:10.1038/s41598-021-88587-9.

7.

Assessing Adiposity: A Scientific Statement From the American Heart Association.

Cornier MA, Després JP, Davis N, et al.

Circulation. 2011;124(18):1996-2019. doi:10.1161/CIR.0b013e318233bc6a.

Practice Guideline

8.

Obesity and Cardiovascular Disease: A Scientific Statement From the American Heart Association.

Powell-Wiley TM, Poirier P, Burke LE, et al.

Circulation. 2021;143(21):e984-e1010. doi:10.1161/CIR.0000000000000973.

9.

Visceral and Ectopic Fat, Atherosclerosis, and Cardiometabolic Disease: A Position Statement.

Neeland IJ, Ross R, Després JP, et al.

The Lancet. Diabetes & Endocrinology. 2019;7(9):715-725. doi:10.1016/S2213-8587(19)30084-1.

10.

Cardiovascular and Metabolic Heterogeneity of Obesity: Clinical Challenges and Implications for Management.

Neeland IJ, Poirier P, Després JP.

Circulation. 2018;137(13):1391-1406. doi:10.1161/CIRCULATIONAHA.117.029617.

11.

Age- And Sex-Specific Visceral Fat Reference Cutoffs and Their Association With Cardio-Metabolic Risk.

Meredith-Jones K, Taylor R, Brown R, et al.

International Journal of Obesity (2005). 2021;45(4):808-817. doi:10.1038/s41366-021-00743-3.

12.

Evaluation of Adiposity and Cognitive Function in Adults.

Anand SS, Friedrich MG, Lee DS, et al.

JAMA logoJAMA Network Open. 2022;5(2):e2146324. doi:10.1001/jamanetworkopen.2021.46324.

13.

Health Outcomes of Sarcopenia: A Systematic Review and Meta-Analysis.

Beaudart C, Zaaria M, Pasleau F, Reginster JY, Bruyère O.

PloS One. 2017;12(1):e0169548. doi:10.1371/journal.pone.0169548.

14.

Sarcopenia Is Associated With Mortality in Adults: A Systematic Review and Meta-Analysis.

Xu J, Wan CS, Ktoris K, Reijnierse EM, Maier AB.

Gerontology. 2022;68(4):361-376. doi:10.1159/000517099.

15.

16.

Epidemiology of Sarcopenia: Prevalence, Risk Factors, and Consequences.

Yuan S, Larsson SC.

Metabolism: Clinical and Experimental. 2023;144:155533. doi:10.1016/j.metabol.2023.155533.

17.

Role of Sarcopenia in Temporal Progression Trajectory of Cardiometabolic Diseases: A Prospective Study in UK Biobank.

Xiao Y, Zhu C, Cheng X, et al.

BMC Public Health. 2025;25(1):1294. doi:10.1186/s12889-025-22500-1.

18.

Is Sarcopenia Associated With an Increased Risk of All-Cause Mortality and Functional Disability?.

Kelley GA, Kelley KS.

Experimental Gerontology. 2017;96:100-103. doi:10.1016/j.exger.2017.06.008.

19.

Sarcopenia.

Cruz-Jentoft AJ, Sayer AA.

Lancet (London, England). 2019;393(10191):2636-2646. doi:10.1016/S0140-6736(19)31138-9.

20.

Sarcopenia.

Sayer AA, Cooper R, Arai H, et al.

Nature Reviews. Disease Primers. 2024;10(1):68. doi:10.1038/s41572-024-00550-w.

21.

Prevalence, Incidence, and Clinical Impact of Sarcopenia: Facts, Numbers, and Epidemiology-Update 2014.

Morley JE, Anker SD, von Haehling S.

Journal of Cachexia, Sarcopenia and Muscle. 2014;5(4):253-9. doi:10.1007/s13539-014-0161-y.

22.

Position of the Academy of Nutrition and Dietetics and the Society for Nutrition Education and Behavior: Food and Nutrition Programs for Community-Residing Older Adults.

Saffel-Shrier S, Johnson MA, Francis SL.

Journal of Nutrition Education and Behavior. 2019 Jul - Aug;51(7):781-797. doi:10.1016/j.jneb.2019.03.007.

Practice Guideline

23.

Sarcopenia and Cardiovascular Diseases.

Damluji AA, Alfaraidhy M, AlHajri N, et al.

Circulation. 2023;147(20):1534-1553. doi:10.1161/CIRCULATIONAHA.123.064071.

24.

The Association of Sarcopenia, Possible Sarcopenia and Cognitive Impairment: A Systematic Review and Meta-Analysis.

Huang J, Li M, Luo Q, Li J.

PloS One. 2025;20(5):e0324258. doi:10.1371/journal.pone.0324258.

25.

Sarcopenia and Cognitive Impairment: A Systematic Review and Meta-Analysis.

Peng TC, Chen WL, Wu LW, Chang YW, Kao TW.

Clinical Nutrition (Edinburgh, Scotland). 2020;39(9):2695-2701. doi:10.1016/j.clnu.2019.12.014.

26.

The Joint Effects of Sarcopenia and Cardiometabolic Risk Factors on Declined Cognitive Function: Evidence From a 7-Year Cohort Study.

Liu YH, Ma LL, Hu LK, et al.

Journal of Affective Disorders. 2024;344:644-652. doi:10.1016/j.jad.2023.10.056.

27.

Associations of Fat Mass and Muscle Function but Not Lean Mass With Cognitive Impairment: The Yishun Study.

Tou NX, Wee SL, Pang BWJ, et al.

PloS One. 2021;16(8):e0256702. doi:10.1371/journal.pone.0256702.

28.

Body Fat and Components of Sarcopenia Relate to Inflammation, Brain Volume, and Neurometabolism in Older Adults.

Vints WAJ, Kušleikienė S, Sheoran S, et al.

Neurobiology of Aging. 2023;127:1-11. doi:10.1016/j.neurobiolaging.2023.02.011.

29.

Sarcopenia and Sarcopenic Obesity and Mortality Among Older People.

Benz E, Pinel A, Guillet C, et al.

JAMA logoJAMA Network Open. 2024;7(3):e243604. doi:10.1001/jamanetworkopen.2024.3604.

30.

31.

The Role of Crosstalk Between Adipose Cells and Myocytes in the Pathogenesis of Sarcopenic Obesity in the Elderly.

Zamboni M, Mazzali G, Brunelli A, et al.

Cells. 2022;11(21):3361. doi:10.3390/cells11213361.

32.

The Implications of Sarcopenia and Sarcopenic Obesity on Cardiometabolic Disease.

Kim TN, Choi KM.

Journal of Cellular Biochemistry. 2015;116(7):1171-8. doi:10.1002/jcb.25077.

33.

Adipose Tissue in Older Individuals: A Contributing Factor to Sarcopenia.

Wang T, Zhou D, Hong Z.

Metabolism: Clinical and Experimental. 2024;160:155998. doi:10.1016/j.metabol.2024.155998.

34.

Recent Advances and Future Avenues in Understanding the Role of Adipose Tissue Cross Talk in Mediating Skeletal Muscle Mass and Function With Ageing.

Wilhelmsen A, Tsintzas K, Jones SW.

GeroScience. 2021;43(1):85-110. doi:10.1007/s11357-021-00322-4.

35.

Epidemiology of Sarcopenia: Determinants Throughout the Lifecourse.

Shaw SC, Dennison EM, Cooper C.

Calcified Tissue International. 2017;101(3):229-247. doi:10.1007/s00223-017-0277-0.

36.

Prevalence of Sarcopenic Obesity and Sarcopenic Overweight in the General Population: The Lifelines Cohort Study.

Wagenaar CA, Dekker LH, Navis GJ.

Clinical Nutrition (Edinburgh, Scotland). 2021;40(6):4422-4429. doi:10.1016/j.clnu.2021.01.005.

37.

Menopause Transition and Cardiovascular Disease Risk: Implications for Timing of Early Prevention: A Scientific Statement From the American Heart Association.

El Khoudary SR, Aggarwal B, Beckie TM, et al.

Circulation. 2020;142(25):e506-e532. doi:10.1161/CIR.0000000000000912.

38.

Energy Metabolism Changes and Dysregulated Lipid Metabolism in Postmenopausal Women.

Ko SH, Jung Y.

Nutrients. 2021;13(12):4556. doi:10.3390/nu13124556.

39.

Menopause and Body Composition: A Complex Field.

Juppi HK, Karppinen JE, Laakkonen EK.

Seminars in Reproductive Medicine. 2025;. doi:10.1055/s-0045-1809531.

40.

Total and Regional Body Adiposity Increases During Menopause-Evidence From a Follow-Up Study.

Juppi HK, Sipilä S, Fachada V, et al.

Aging Cell. 2022;21(6):e13621. doi:10.1111/acel.13621.

41.

Body Weight and Fat Mass Across the Menopausal Transition: Hormonal Modulators.

Moccia P, Belda-Montesinos R, Monllor-Tormos A, Chedraui P, Cano A.

Gynecological Endocrinology : The Official Journal of the International Society of Gynecological Endocrinology. 2022;38(2):99-104. doi:10.1080/09513590.2021.2004395.

42.

Changes in Abdominal Subcutaneous Adipose Tissue Phenotype Following Menopause Is Associated With Increased Visceral Fat Mass.

Abildgaard J, Ploug T, Al-Saoudi E, et al.

Scientific Reports. 2021;11(1):14750. doi:10.1038/s41598-021-94189-2.

43.

Sarcopenia and Menopause: The Role of Estradiol.

Geraci A, Calvani R, Ferri E, et al.

Frontiers in Endocrinology. 2021;12:682012. doi:10.3389/fendo.2021.682012.

44.

From Mitochondria to Sarcopenia: Role of 17β-Estradiol and Testosterone.

Tian X, Lou S, Shi R.

Frontiers in Endocrinology. 2023;14:1156583. doi:10.3389/fendo.2023.1156583.

45.

Role of Hormones in Sarcopenia.

Priego T, Martín AI, González-Hedström D, Granado M, López-Calderón A.

Vitamins and Hormones. 2021;115:535-570. doi:10.1016/bs.vh.2020.12.021.

46.

Advances in Body Composition and Gender Differences in Susceptibility to Frailty Syndrome: Role of Osteosarcopenic Obesity.

Conforto R, Rizzo V, Russo R, et al.

Metabolism: Clinical and Experimental. 2024;161:156052. doi:10.1016/j.metabol.2024.156052.

47.

Deciphering the "Obesity Paradox" in the Elderly: A Systematic Review and Meta-Analysis of Sarcopenic Obesity.

Liu C, Wong PY, Chung YL, et al.

Obesity Reviews : An Official Journal of the International Association for the Study of Obesity. 2023;24(2):e13534. doi:10.1111/obr.13534.

48.

Sarcopenic Obesity in Older Adults: A Clinical Overview.

Prado CM, Batsis JA, Donini LM, Gonzalez MC, Siervo M.

Nature Reviews. Endocrinology. 2024;20(5):261-277. doi:10.1038/s41574-023-00943-z.

49.

Sarcopenic Obesity and Cardiometabolic Health and Mortality in Older Adults: A Growing Health Concern in an Ageing Population.

Wannamethee SG, Atkins JL.

Current Diabetes Reports. 2023;23(11):307-314. doi:10.1007/s11892-023-01522-2.

50.

Pathogenesis of Sarcopenia and the Relationship With Fat Mass: Descriptive Review.

Li CW, Yu K, Shyh-Chang N, et al.

Journal of Cachexia, Sarcopenia and Muscle. 2022;13(2):781-794. doi:10.1002/jcsm.12901.

51.

Sarcopenic Obesity: Epidemiology, Pathophysiology, Cardiovascular Disease, Mortality, and Management.

Wei S, Nguyen TT, Zhang Y, Ryu D, Gariani K.

Frontiers in Endocrinology. 2023;14:1185221. doi:10.3389/fendo.2023.1185221.

52.

Health Consequences of Sarcopenic Obesity: A Narrative Review.

Roh E, Choi KM.

Frontiers in Endocrinology. 2020;11:332. doi:10.3389/fendo.2020.00332.

53.

Exploring the Association Between Sarcopenic Obesity and Cardiovascular Risk: A Summary of Findings From Longitudinal Studies and Potential Mechanisms.

Guan Z, Stephan BCM, Donini LM, et al.

The Proceedings of the Nutrition Society. 2024;:1-9. doi:10.1017/S0029665124007559.

54.

Associations Between Sarcopenic Obesity and Risk of Cardiovascular Disease: A Population-Based Cohort Study Among Middle-Aged and Older Adults Using the CHARLS.

Jiang M, Ren X, Han L, Zheng X.

Clinical Nutrition (Edinburgh, Scotland). 2024;43(3):796-802. doi:10.1016/j.clnu.2024.02.002.

55.

Association of Low Muscle Mass and Obesity With Increased All-Cause and Cardiovascular Disease Mortality in US Adults.

Kim D, Lee J, Park R, Oh CM, Moon S.

Journal of Cachexia, Sarcopenia and Muscle. 2023;. doi:10.1002/jcsm.13397.

56.

Correlation of Cardiometabolic Index and Sarcopenia With Cardiometabolic Multimorbidity in Middle-Aged and Older Adult: A Prospective Study.

He L, Lin C, Tu Y, et al.

Frontiers in Endocrinology. 2024;15:1387374. doi:10.3389/fendo.2024.1387374.

57.

Sarcopenic Obesity in Ageing: Cardiovascular Outcomes and Mortality.

Atkins JL, Wannamathee SG.

The British Journal of Nutrition. 2020;124(10):1102-1113. doi:10.1017/S0007114520002172.

58.

Muscle Loss and Obesity: The Health Implications of Sarcopenia and Sarcopenic Obesity.

Wannamethee SG, Atkins JL.

The Proceedings of the Nutrition Society. 2015;74(4):405-12. doi:10.1017/S002966511500169X.

59.

Impact of Visceral Fat on Skeletal Muscle Mass and Vice Versa in a Prospective Cohort Study: The Korean Sarcopenic Obesity Study (KSOS).

Kim TN, Park MS, Ryu JY, et al.

PloS One. 2014;9(12):e115407. doi:10.1371/journal.pone.0115407.

60.

The Association Between Sarcopenic Obesity and DXA-Derived Visceral Adipose Tissue (VAT) in Adults.

De Lorenzo A, Itani L, El Ghoch M, et al.

Nutrients. 2024;16(11):1645. doi:10.3390/nu16111645.

61.

Therapeutic Advances in Sarcopenia Management: From Traditional Interventions to Personalized Medicine.

Liu X, Chen X, Cui J.

Clinical Nutrition (Edinburgh, Scotland). 2025;51:187-197. doi:10.1016/j.clnu.2025.06.007.

62.

The Impact of Lifestyle Factors Across the Life Course on Sarcopenia and Physical Frailty.

Yang DZ, Kua J, Lim WS.

Current Opinion in Clinical Nutrition and Metabolic Care. 2025;28(3):208-223. doi:10.1097/MCO.0000000000001111.

63.

64.

Prevention and Treatment of Sarcopenic Obesity in Women.

Petroni ML, Caletti MT, Dalle Grave R, et al.

Nutrients. 2019;11(6):E1302. doi:10.3390/nu11061302.

65.

Implication of Diet and Exercise on the Management of Age-Related Sarcopenic Obesity in Asians.

Kim YJ, Moon S, Yu JM, Chung HS.

Geriatrics & Gerontology International. 2022;22(9):695-704. doi:10.1111/ggi.14442.

66.

Recent Advances in Nutraceuticals for the Treatment of Sarcopenic Obesity.

Kim YC, Ki SW, Kim H, et al.

Nutrients. 2023;15(17):3854. doi:10.3390/nu15173854.

67.

Nutritional and Exercise Interventions in Individuals With Sarcopenic Obesity Around Retirement Age: A Systematic Review and Meta-Analysis.

Eglseer D, Traxler M, Schoufour JD, et al.

Nutrition Reviews. 2023;81(9):1077-1090. doi:10.1093/nutrit/nuad007.

68.

Effectiveness of Non-Pharmacological Interventions on the Management of Sarcopenic Obesity: A Systematic Review and Meta-Analysis.

Yin YH, Liu JYW, Välimäki M.

Experimental Gerontology. 2020;135:110937. doi:10.1016/j.exger.2020.110937.

69.

70.

Research Progress on the Effect and Mechanism of Exercise Intervention on Sarcopenia Obesity.

Chen J, Jia S, Guo C, et al.

Clinical Interventions in Aging. 2024;19:1407-1422. doi:10.2147/CIA.S473083.

71.

Therapeutic Strategies for Sarcopenic Obesity: A Systematic Review.

Poggiogalle E, Parrinello E, Barazzoni R, Busetto L, Donini LM.

Current Opinion in Clinical Nutrition and Metabolic Care. 2021;24(1):33-41. doi:10.1097/MCO.0000000000000714.

72.

Association of Visceral Adiposity Index With Sarcopenia Based on NHANES Data.

Li J, Lin Y, Deng H, et al.

Scientific Reports. 2024;14(1):21169. doi:10.1038/s41598-024-72218-0.

73.

Association Between Metabolic Score for Visceral Fat Index and BMI-adjusted Skeletal Muscle Mass Index in American Adults.

Zhou Y, Su X, Tan H, Xiao J.

Lipids in Health and Disease. 2025;24(1):29. doi:10.1186/s12944-025-02439-3.

74.

Assessment of Existing Anthropometric Indices for Screening Sarcopenic Obesity in Older Adults.

Kim JE, Choi J, Kim M, Won CW.

The British Journal of Nutrition. 2023;129(5):875-887. doi:10.1017/S0007114522001817.

75.

Critical Appraisal of Definitions and Diagnostic Criteria for Sarcopenic Obesity Based on a Systematic Review.

Donini LM, Busetto L, Bauer JM, et al.

Clinical Nutrition (Edinburgh, Scotland). 2020;39(8):2368-2388. doi:10.1016/j.clnu.2019.11.024.

76.

77.

Validation of a Description of Sarcopenic Obesity Defined as Excess Adiposity and Low Lean Mass Relative to Adiposity.

Baker JF, Harris T, Rapoport A, et al.

Journal of Cachexia, Sarcopenia and Muscle. 2020;11(6):1580-1589. doi:10.1002/jcsm.12613.

78.

79.

Emerging Targets and Treatments for Sarcopenia: A Narrative Review.

Cacciatore S, Calvani R, Esposito I, et al.

Nutrients. 2024;16(19):3271. doi:10.3390/nu16193271.

80.

Lifestyle Factors and Visceral Adipose Tissue: Results From the PREDIMED-PLUS Study.

Galmes-Panades AM, Konieczna J, Abete I, et al.

PloS One. 2019;14(1):e0210726. doi:10.1371/journal.pone.0210726.

81.

Sarcopenic Obesity: How Do We Treat It?.

Bouchonville MF, Villareal DT.

Current Opinion in Endocrinology, Diabetes, and Obesity. 2013;20(5):412-9. doi:10.1097/01.med.0000433071.11466.7f.

82.

Visceral Adiposity, Inflammation, and Hippocampal Function in Obesity.

Stranahan AM.

Neuropharmacology. 2022;205:108920. doi:10.1016/j.neuropharm.2021.108920.

83.

Association Between Midlife Obesity and Its Metabolic Consequences, Cerebrovascular Disease, and Cognitive Decline.

Morys F, Dadar M, Dagher A.

The Journal of Clinical Endocrinology and Metabolism. 2021;106(10):e4260-e4274. doi:10.1210/clinem/dgab135.

84.

Sarcopenic Obesity and Cognitive Performance.

Tolea MI, Chrisphonte S, Galvin JE.

Clinical Interventions in Aging. 2018;13:1111-1119. doi:10.2147/CIA.S164113.

85.

Menopause and Sarcopenia: A Potential Role for Sex Hormones.

Messier V, Rabasa-Lhoret R, Barbat-Artigas S, et al.

Maturitas. 2011;68(4):331-6. doi:10.1016/j.maturitas.2011.01.014.

86.

Lifestyle Approaches to Prevent and Retard Sarcopenia: A Narrative Review.

Bruyère O, Reginster JY, Beaudart C.

Maturitas. 2022;161:44-48. doi:10.1016/j.maturitas.2022.02.004.

87.

Sarcopenia: An Aging Perspective and Management Options.

Teixeira AM, Nosrani SE, Parvani M, Viola J, Mohammadi S.

International Journal of Sports Medicine. 2025;. doi:10.1055/a-2577-2577.

88.

Nutritional Strategies for Maintaining Muscle Mass and Strength From Middle Age to Later Life: A Narrative Review.

Cruz-Jentoft AJ, Dawson Hughes B, Scott D, Sanders KM, Rizzoli R.

Maturitas. 2020;132:57-64. doi:10.1016/j.maturitas.2019.11.007.

89.

Diet for the Prevention and Management of Sarcopenia.

Calvani R, Picca A, Coelho-Júnior HJ, et al.

Metabolism: Clinical and Experimental. 2023;146:155637. doi:10.1016/j.metabol.2023.155637.

90.

Nutrition Strategies to Counteract Sarcopenia: A Focus on Protein, LC -3 PUFA and Precision Nutrition.

Murphy CH, McCarthy SN, Roche HM.

The Proceedings of the Nutrition Society. 2023;82(3):419-431. doi:10.1017/S0029665123003555.

91.

Nutrition in the Prevention and Treatment of Skeletal Muscle Ageing and Sarcopenia: A Single Nutrient, a Whole Food and a Whole Diet Approach.

Granic A, Sayer AA, Cooper R, Robinson SM.

The Proceedings of the Nutrition Society. 2024;:1-16. doi:10.1017/S0029665124007432.

92.

Mitigating Sarcopenia With Diet and Exercise.

Shefflette A, Patel N, Caruso J.

International Journal of Environmental Research and Public Health. 2023;20(17):6652. doi:10.3390/ijerph20176652.

93.

Exercise Programs Combined With Diet Supplementation Improve Body Composition and Physical Function in Older Adults With Sarcopenia: A Systematic Review.

Hernández-Lepe MA, Miranda-Gil MI, Valbuena-Gregorio E, Olivas-Aguirre FJ.

Nutrients. 2023;15(8):1998. doi:10.3390/nu15081998.

94.

Treating Sarcopenia in Older and Oldest Old.

Martone AM, Lattanzio F, Abbatecola AM, et al.

Current Pharmaceutical Design. 2015;21(13):1715-22. doi:10.2174/1381612821666150130122032.

95.

Sarcopenia and Type 2 Diabetes: Pathophysiology and Potential Therapeutic Lifestyle Interventions.

Marcotte-Chénard A, Oliveira B, Little JP, Candow DG.

Diabetes & Metabolic Syndrome. 2023;17(9):102835. doi:10.1016/j.dsx.2023.102835.

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