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Cavdar S, Kayhan Kocak FO, Savas S. Probable and confirmed sarcopenia are still better predictors of disability than sarcopenic obesity following ESPEN/EASO consensus steps. BMC Geriatr 2025; 25:250. [PMID: 40234752 PMCID: PMC11998431 DOI: 10.1186/s12877-025-05897-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2025] [Accepted: 03/28/2025] [Indexed: 04/17/2025] Open
Abstract
BACKGROUND Studies comparing different operational definitions of sarcopenia (S) and sarcopenic obesity (SO) defined according to the ''European Society for Clinical Nutrition and Metabolism and the European Association for the Study of Obesity'' (ESPEN/EASO) criteria with functionality are scarce. Our aim is to investigate whether SO or S with different skeletal muscle mass (SMM) adjustments is better associated with functional disability. METHODS This retrospective study was carried out in older individuals ≥ 65 years of age in a geriatric outpatient clinic. Probable and confirmed sarcopenia were evaluated with the revised European Working Group on Sarcopenia in Older People (EWGSOP2) criteria, and SO with ESPEN/EASO consensus steps. For SMM component for both S and SO, different adjustments (weight, body mass index, and height square (W, BMI, H2 respectively)) were used. Functional disability was examined with activities of daily living (ADL), and instrumental ADL (IADL). Receiver operating characteristic (ROC) curves were drawn and area under ROC curve (AUC) were calculated to find which operational definition best predicts disability. RESULTS Data from 1477 older adults were screened. 408 participants (median age; 73 (65-101), 65% female) were included. Prevelance of SO was 6.9%. Probable sarcopenia, confirmed sarcopenia BMI-adjusted and confirmed sarcopenia W-adjusted were significantly associated with impaired IADL (p < 0.001), and showed fair accuracy for predicting IADL disability. Sarcopenic obesity did not show significant associations with ADL and IADL disability and didn't predict ADL and IADL disability. Only confirmed sarcopenia by BMI predicted ADL disability with poor accuracy. Among operational definitions of sarcopenia, probable sarcopenia had the highest sensitivity (83.6%) and negative predictive value (NPV) (94.2%) for predicting IADL disability. CONCLUSION We found that probable sarcopenia (with the highest sensitivity and NPV) and confirmed sarcopenia (BMI-adjusted with higher sensitivity and NPV than W-adjusted) were the most relevant for predicting IADL disability, but their diagnostic accuracy was limited. Confirmed sarcopenia by BMI predicted ADL disability with poor accuracy. Other operational definitions, including SO did not predict functional disability in our study. Future studies need to refine the definitions of SO and investigate its distinct impact on functional impairment compared to sarcopenia alone.
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Affiliation(s)
- Sibel Cavdar
- Department of Internal Medicine, Division of Geriatrics, Ege University Hospital, Izmir, Turkey.
- Department of Internal Medicine, Division of Geriatrics, Izmir City Hospital, Izmir, Turkey.
| | - Fatma Ozge Kayhan Kocak
- Department of Internal Medicine, Division of Geriatrics, Ege University Hospital, Izmir, Turkey
- Department of Internal Medicine, Division of Geriatrics, University of Health Sciences Tepecik Education and Research Hospital, Izmir, Turkey
| | - Sumru Savas
- Department of Internal Medicine, Division of Geriatrics, Ege University Hospital, Izmir, Turkey
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Borba VZC, Costa TMDRL. Sarcopenic obesity: a review. ARCHIVES OF ENDOCRINOLOGY AND METABOLISM 2025; 68:e240084. [PMID: 40215288 PMCID: PMC11967173 DOI: 10.20945/2359-4292-2024-0084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/15/2025]
Abstract
The global increase in life expectancy has led to a concomitant rise in diagnoses of sarcopenia. At the same time, the epidemic levels of obesity have given rise to the emergence of a complex condition known as sarcopenic obesity. Characterized by the simultaneous presence of loss of muscle mass and strength along with obesity or excess body fat, sarcopenic obesity represents a concerning health condition. Contrary to prevailing assumptions, sarcopenic obesity is not exclusive to older adults, as it may also manifest in individuals with obesity and chronic diseases and in those who undergo rapid weight loss. This juxtaposition of fat accumulation and muscle depletion epitomizes a harmful combination, especially in healthy adults. A precise definition of sarcopenic obesity and an understanding of how different body composition components affect functional parameters, comorbidities, and mortality rates are crucial for grasping the full extent and significance of this condition. Despite its multifaceted nature, sarcopenic obesity is often undiagnosed and undertreated, posing a considerable challenge to healthcare systems worldwide. In this review, we explore the intricate interplay of factors contributing to the development and consequences of sarcopenic obesity and discuss newly proposed diagnostic guidelines aimed at improved screening. Enhancing awareness and understanding of sarcopenic obesity is imperative for addressing its growing prevalence and mitigating its adverse health effects.
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Affiliation(s)
- Victoria Zeghbi Cochenski Borba
- Serviço de Endocrinologia e Metabologia do Hospital de Clínicas da Universidade Federal do Paraná - SEMPR, Curitiba, PR, Brasil
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3
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Booranasuksakul U, Guan Z, Macdonald IA, Tsintzas K, Stephan BCM, Siervo M. Sarcopenic obesity and brain health: A critical appraisal of the current evidence. NUTR BULL 2025; 50:30-43. [PMID: 39799465 DOI: 10.1111/nbu.12725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2024] [Revised: 11/13/2024] [Accepted: 11/13/2024] [Indexed: 01/15/2025]
Abstract
Sarcopenic obesity (SO) is a body composition phenotype derived from the simultaneous presence in the same individual of an increase in fat mass and a decrease in skeletal muscle mass and/or function. Several protocols for the diagnosis of SO have been proposed in the last two decades making prevalence and disease risk estimates of SO heterogeneous and challenging to interpret. Dementia is a complex neurological disorder that significantly impacts patients, carers and healthcare systems. The identification of risk factors for early cognitive impairment and dementia is key to mitigating the forecasted trends of a 2-fold increase in dementia case numbers over the next two decades worldwide. Excess adiposity and sarcopenia have both been independently associated with risk of cognitive impairment and dementia. Whether SO is associated with a greater risk of cognitive impairment and dementia is currently uncertain. This review critically appraises the current evidence on the association between SO with cognitive outcomes and dementia risk. It also discusses some of the putative biological mechanisms that may link the SO phenotype with alteration of brain functions.
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Affiliation(s)
- Uraiporn Booranasuksakul
- MRC Versus Arthritis Centre for Musculoskeletal Ageing Research, School of Life Sciences, University of Nottingham, Nottingham, UK
| | - Zhongyang Guan
- Curtin School of Population Health, Faculty of Health Sciences, Curtin University, Bentley, WA, Australia
| | - Ian A Macdonald
- MRC Versus Arthritis Centre for Musculoskeletal Ageing Research, School of Life Sciences, University of Nottingham, Nottingham, UK
| | - Kostas Tsintzas
- MRC Versus Arthritis Centre for Musculoskeletal Ageing Research, School of Life Sciences, University of Nottingham, Nottingham, UK
| | - Blossom C M Stephan
- Dementia Centre of Excellence, enAble Institute, Curtin University, Bentley, WA, Australia
| | - Mario Siervo
- Curtin School of Population Health, Faculty of Health Sciences, Curtin University, Bentley, WA, Australia
- Dementia Centre of Excellence, enAble Institute, Curtin University, Bentley, WA, Australia
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4
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Shimada T, Maetani T, Chubachi S, Tanabe N, Asakura T, Namkoong H, Tanaka H, Azekawa S, Otake S, Nakagawara K, Fukushima T, Watase M, Shiraishi Y, Terai H, Sasaki M, Ueda S, Kato Y, Harada N, Suzuki S, Yoshida S, Tateno H, Shimizu K, Sato S, Yamada Y, Jinzaki M, Hirai T, Okada Y, Koike R, Ishii M, Kimura A, Imoto S, Miyano S, Ogawa S, Kanai T, Fukunaga K. Erector Spinae Muscle to Epicardial Visceral Fat Ratio on Chest CT Predicts the Severity of Coronavirus Disease 2019. J Cachexia Sarcopenia Muscle 2025; 16:e13721. [PMID: 39868664 PMCID: PMC11770476 DOI: 10.1002/jcsm.13721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2024] [Revised: 10/07/2024] [Accepted: 12/25/2024] [Indexed: 01/28/2025] Open
Abstract
BACKGROUND Chest computed tomography (CT) is a valuable tool for diagnosing and predicting the severity of coronavirus disease 2019 (COVID-19) and assessing extrapulmonary organs. Reduced muscle mass and visceral fat accumulation are important features of a body composition phenotype in which obesity and muscle loss coexist, but their relationship with COVID-19 outcomes remains unclear. In this study, we aimed to investigate the association between the erector spinae muscle (ESM) to epicardial adipose tissue (EAT) ratio (ESM/EAT) on chest CT and disease severity in patients with COVID-19. METHODS We analysed data from 1074 COVID-19 patients enrolled in the Japan COVID-19 Task Force database. The primary outcome was the rate of critical outcomes (requiring high-flow oxygen therapy, invasive ventilator support or death). The incidence of critical outcomes was compared between patients with high and low ESM/EAT ratios. RESULTS The low ESM/EAT group (n = 353) had a higher incidence of critical outcomes (13.3% vs. 5.13%, p < 0.001) and mortality (2.55% vs. 0.69%, p = 0.019) than the high ESM/EAT group (n = 721). In multivariable analysis, the low ESM/EAT ratio was associated with critical outcomes (adjusted odds ratio [aOR] 2.11, 95% confidence interval [CI] 1.22-3.66) independently of the known COVID-19 severity factors including age, sex, body mass index (BMI), smoking history, lifestyle-related comorbidities and pneumonia volume. CONCLUSION The low ESM/EAT ratio in COVID-19 patients can be obtained on chest CT and used to predict critical outcomes after disease onset, demonstrating the importance of detailed body composition assessments in COVID-19 practice.
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Affiliation(s)
- Takashi Shimada
- Division of Pulmonary Medicine, Department of MedicineKeio University School of MedicineTokyoJapan
| | - Tomoki Maetani
- Department of Respiratory Medicine, Graduate School of MedicineKyoto UniversityKyotoJapan
| | - Shotaro Chubachi
- Division of Pulmonary Medicine, Department of MedicineKeio University School of MedicineTokyoJapan
| | - Naoya Tanabe
- Department of Respiratory Medicine, Graduate School of MedicineKyoto UniversityKyotoJapan
| | - Takanori Asakura
- Division of Pulmonary Medicine, Department of MedicineKeio University School of MedicineTokyoJapan
- Department of Clinical Medicine (Laboratory of Bioregulatory Medicine)Kitasato University School of PharmacyTokyoJapan
- Department of Respiratory Medicine, Kitasato UniversityKitasato Institute HospitalTokyoJapan
| | - Ho Namkoong
- Division of Pulmonary Medicine, Department of MedicineKeio University School of MedicineTokyoJapan
- Department of Infectious DiseasesKeio University School of MedicineTokyoJapan
| | - Hiromu Tanaka
- Division of Pulmonary Medicine, Department of MedicineKeio University School of MedicineTokyoJapan
| | - Shuhei Azekawa
- Division of Pulmonary Medicine, Department of MedicineKeio University School of MedicineTokyoJapan
| | - Shiro Otake
- Division of Pulmonary Medicine, Department of MedicineKeio University School of MedicineTokyoJapan
| | - Kensuke Nakagawara
- Division of Pulmonary Medicine, Department of MedicineKeio University School of MedicineTokyoJapan
| | - Takahiro Fukushima
- Division of Pulmonary Medicine, Department of MedicineKeio University School of MedicineTokyoJapan
| | - Mayuko Watase
- Division of Pulmonary Medicine, Department of MedicineKeio University School of MedicineTokyoJapan
| | - Yusuke Shiraishi
- Department of Respiratory Medicine, Graduate School of MedicineKyoto UniversityKyotoJapan
| | - Hideki Terai
- Division of Pulmonary Medicine, Department of MedicineKeio University School of MedicineTokyoJapan
| | - Mamoru Sasaki
- Internal MedicineJCHO (Japan Community Health Care Organization) Saitama Medical CenterSaitamaJapan
| | - Soichiro Ueda
- Internal MedicineJCHO (Japan Community Health Care Organization) Saitama Medical CenterSaitamaJapan
| | - Yukari Kato
- Department of Respiratory MedicineJuntendo University Faculty of Medicine and Graduate School of MedicineTokyoJapan
| | - Norihiro Harada
- Department of Respiratory MedicineJuntendo University Faculty of Medicine and Graduate School of MedicineTokyoJapan
| | - Shoji Suzuki
- Department of Pulmonary MedicineSaitama City HospitalSaitamaJapan
| | - Shuichi Yoshida
- Department of Pulmonary MedicineSaitama City HospitalSaitamaJapan
| | - Hiroki Tateno
- Department of Pulmonary MedicineSaitama City HospitalSaitamaJapan
| | - Kaoruko Shimizu
- Department of Respiratory Medicine, Graduate School of MedicineHokkaido UniversitySapporoJapan
| | - Susumu Sato
- Department of Respiratory Medicine, Graduate School of MedicineKyoto UniversityKyotoJapan
- Department of Respiratory Care and Sleep Control Medicine, Graduate School of MedicineKyoto UniversityKyotoJapan
| | - Yoshitake Yamada
- Department of RadiologyKeio University School of MedicineTokyoJapan
| | - Masahiro Jinzaki
- Department of RadiologyKeio University School of MedicineTokyoJapan
| | - Toyohiro Hirai
- Department of Respiratory Medicine, Graduate School of MedicineKyoto UniversityKyotoJapan
| | - Yukinori Okada
- Department of Statistical GeneticsOsaka University Graduate School of MedicineSuitaJapan
- Department of Genome Informatics, Graduate School of MedicineThe University of TokyoTokyoJapan
- Laboratory for Systems GeneticsRIKEN Center for Integrative Medical SciencesYokohamaKanagawaJapan
| | - Ryuji Koike
- Health Science Research and Development CenterTokyo Medical and Dental UniversityTokyoJapan
| | - Makoto Ishii
- Division of Pulmonary Medicine, Department of MedicineKeio University School of MedicineTokyoJapan
- Department of Respiratory MedicineNagoya University Graduate School of MedicineNagoyaJapan
| | - Akinori Kimura
- Institute of ResearchTokyo Medical and Dental UniversityTokyoJapan
| | - Seiya Imoto
- Division of Health Medical Intelligence, Human Genome Center, Institute of Medical ScienceUniversity of TokyoTokyoJapan
| | - Satoru Miyano
- M&D Data Science CenterTokyo Medical and Dental UniversityTokyoJapan
| | - Seishi Ogawa
- Department of Pathology and Tumor BiologyKyoto UniversityKyotoJapan
- Institute for the Advanced Study of Human Biology (WPI‐ASHBi)Kyoto UniversityKyotoJapan
| | - Takanori Kanai
- Division of Gastroenterology and Hepatology, Department of Internal MedicineKeio University School of MedicineTokyoJapan
| | - Koichi Fukunaga
- Division of Pulmonary Medicine, Department of MedicineKeio University School of MedicineTokyoJapan
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Li R, Chen X, Tang H, Luo S, Lian R, Zhang W, Zhang X, Hu X, Yang M. Sarcopenic obesity and falls in older adults: A validation study of ESPEN/EASO criteria and modifications in Western China communities. Arch Gerontol Geriatr 2024; 127:105557. [PMID: 38964054 DOI: 10.1016/j.archger.2024.105557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2024] [Revised: 06/15/2024] [Accepted: 06/29/2024] [Indexed: 07/06/2024]
Abstract
OBJECTIVES The ESPEN and the EASO recently developed consensus criteria for sarcopenic obesity (SO), employing the skeletal muscle mass to weight (SMM/W) ratio. Emerging evidence suggests that adjusting skeletal muscle mass for body mass index (SMM/BMI) could enhance the predictive accuracy for health outcomes. We aimed to validate the ESPEN/EASO criteria and explore the potential benefits of the SMM/BMI adjustment in predicting falls among older adults in Western China. METHODS We conducted a multicenter, cross-sectional study and included community-dwelling older adults. The diagnosis of SO was determined using the standard ESPEN/EASO consensus criteria (SOESPEN) and a modified version adjusting SMM/BMI (SOESPEN-M). The associations of SOESPEN, SOESPEN-M, and their components with falls were analyzed. RESULTS Among the 1353 participants, the prevalence of SO was 13.2 % (SOESPEN) and 11.4 % (SOESPEN-M), which increased with age and higher BMI levels. Within participants with a normal BMI, 4.2 % and 6.2 % were found to have SOESPEN and SOESPEN-M, respectively. SMM/W and SMM/BMI negatively correlated with fall risk (p=0.042 and p=0.021, respectively). Upon adjusting for confounders, only SOESPEN was significantly associated with falls (odds ratios [OR] 1.61, 95 % confidence interval [CI] 1.08 to 2.40), whereas the association for SOESPEN-M did not achieve significance (OR 1.55, 95 % CI 0.99 to 2.43). CONCLUSIONS This research validated the ESPEN/EASO criteria (SOESPEN) and their modified version (SOESPEN-M) among community-dwelling older adults in Western China. The SMM/BMI adjustment appears to offer a lower estimate of SO prevalence, with only SOESPEN showing a significant association with falls.
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Affiliation(s)
- Runjie Li
- Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, China; Department of Geriatrics, Ya'an People's Hospital, Ya'an, China
| | - Xiaoyan Chen
- Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, China; National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Huiyu Tang
- Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, China; National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Shuyue Luo
- Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, China; National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Rongna Lian
- Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, China; National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Wenyi Zhang
- Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, China; National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Xiangyu Zhang
- Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, China; National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Xiaoyi Hu
- Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, China; Medical School of Nursing, West China Hospital, Sichuan University, Chengdu, China.
| | - Ming Yang
- Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, China; National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
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Booranasuksakul U, Tsintzas K, Macdonald I, Stephan BC, Siervo M. Application of a new definition of sarcopenic obesity in middle-aged and older adults and association with cognitive function: Findings from the National Health and Nutrition Examination Survey 1999-2002. Clin Nutr ESPEN 2024; 63:919-928. [PMID: 39181532 DOI: 10.1016/j.clnesp.2024.08.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Revised: 08/07/2024] [Accepted: 08/19/2024] [Indexed: 08/27/2024]
Abstract
BACKGROUND & AIMS The role of sarcopenic obesity (SO) in impaired cognitive function has been investigated in several observational studies, but results have been mixed. This study applied the proposed European Society for Clinical Nutrition and Metabolism (ESPEN)-European Association for the Study of Obesity (EASO) definition of SO to a representative population aged ≥50 years to identify the association between SO and cognitive function. METHODS Data from the National Health and Nutrition Examination Survey 1999-2002 waves were used. At the screening phase, body mass index or waist circumference were used to evaluate obesity; sarcopenia was identified using the SARC-F questionnaire. At the diagnostic phase I and II, sarcopenia was assessed using knee extensor isometric strength and appendicular lean mass, and fat mass percent was used to assess obesity. Cognitive function in older participants (60-85 years) was assessed using the Digit Symbol Substitution Test. A self-reported memory question was used in middle-aged individuals (50-59 years). RESULTS The sample included 2356 participants (men, 44.7%). The prevalence of SO was 32.3%, 21.2% and 15.0% at the screening, diagnosis I, and diagnosis II, respectively. Significant associations between SO and cognitive impairment were observed in individuals aged 60-85 at diagnosis I (OR: 2.3, 95%CI 1.4-3.8, P = 0.007) and diagnosis II (OR: 2.7, 95%CI 1.5-4.9, P = 0.004). CONCLUSION The new ESPEN-EASO definition of SO identified a high prevalence of SO cases. A significant association between SO and poor cognitive function in older individuals was observed.
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Affiliation(s)
- Uraiporn Booranasuksakul
- MRC Versus Arthritis Centre for Musculoskeletal Ageing Research, School of Life Sciences, The University of Nottingham Medical School, Queen's Medical Centre, Nottingham, NG7 2UH, UK.
| | - Kostas Tsintzas
- MRC Versus Arthritis Centre for Musculoskeletal Ageing Research, School of Life Sciences, The University of Nottingham Medical School, Queen's Medical Centre, Nottingham, NG7 2UH, UK
| | - Ian Macdonald
- MRC Versus Arthritis Centre for Musculoskeletal Ageing Research, School of Life Sciences, The University of Nottingham Medical School, Queen's Medical Centre, Nottingham, NG7 2UH, UK
| | - Blossom Cm Stephan
- Institute of Mental Health, The University of Nottingham Medical School, Nottingham, UK; Curtin enAble Institute, Faculty of Health Sciences, Curtin University, Kent Street, Bentley, WA, Australia; Dementia Centre of Excellence, enAble Institute, Faculty of Health Sciences, Curtin University, Kent Street, Bentley, WA, Australia
| | - Mario Siervo
- Dementia Centre of Excellence, enAble Institute, Faculty of Health Sciences, Curtin University, Kent Street, Bentley, WA, Australia; Curtin School of Population Health, Faculty of Health Sciences, Curtin University, Bentley WA, Australia; Vascular and Metabolic Disorders Group, Curtin Health Innovation Research Institute (CHIRI), Australia
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Montalvão-Sousa TM, Ferreira PDA, Colombelli NL, de Carvalho KMB, Blazevich AJ, Lima RM. Sarcopenic obesity defined by the ESPEN and EASO consensus statement in older women: Risk of falls and bone mineral density implications. Arch Gerontol Geriatr 2024; 124:105444. [PMID: 38643667 DOI: 10.1016/j.archger.2024.105444] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Revised: 04/08/2024] [Accepted: 04/11/2024] [Indexed: 04/23/2024]
Abstract
PURPOSE To apply the ESPEN-EASO diagnostic criteria for Sarcopenic Obesity (SO) in older women and to assess its association with the risk of falls, fear of falls (FOF), and bone mineral density (BMD). METHODS After exclusion criteria, 232 women aged ≥60 years (68.2 ± 6.1) were enrolled in the study. Volunteers had handgrip strength (HGS; dynamometer) and body composition assessed by DXA before risk of falls was evaluated using the QuickScreen and FOF evaluated by the Falls Efficiency Scale. SO was defined according to the ESPEN-EASO algorithm, which includes reduced HGS and fat-free mass, and elevated fat mass. RESULTS The prevalence of SO was 6.5 %, which was associated with a higher proportion of fallers in the previous year (X2 6.2, P = 0.04), reduced reaction time (X2 6.2, P = 0.04), reduced sit-to-stand performance (X2 6.2, P = 0.04), and a higher probability of falls [ꭓ2(6) = 17.689, p = 0.004]. FOF was lower in the eutrophic group (ꭓ2(2) = 15,662, p < 0,001) than both the obesity (p = 0.001) and SO (p = 0.05) groups. For total and femoral neck BMD, the eutrophic group presented significantly lower values (1.05 and 0.79 g/cm2) than the obesity group (1.10 and 0.87 g/cm2), but similar to the SO group (1.02 and 0.83 g/cm2). These results remained significant after adjustments for potential confounders. CONCLUSIONS SO specified by the ESPEN-EASO framework was associated with a higher risk of falls but not with increased FOF than obesity alone. The favorable influence of overweight and obesity on BMD seems to be attenuated in individuals with SO. Our findings support the clinical significance of the ESPEN-EASO definition.
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Affiliation(s)
| | | | | | | | - Anthony J Blazevich
- Centre for Human Performance, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - Ricardo M Lima
- Faculty of Physical Education, University of Brasília, Brasília, Distrito Federal, Brazil
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Gortan Cappellari G, Zanetti M, Donini LM, Barazzoni R. Detecting sarcopenia in obesity: emerging new approaches. Curr Opin Clin Nutr Metab Care 2024; 27:402-409. [PMID: 39022899 PMCID: PMC11309345 DOI: 10.1097/mco.0000000000001062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/20/2024]
Abstract
PURPOSE OF REVIEW Sarcopenic obesity is a likely common, but certainly underestimated obesity phenotype, with an important negative clinical impact. Its definition and diagnosis have however remained elusive until recently. RECENT FINDINGS Substantial progress has been recently made in sarcopenic obesity diagnostic tools, with the first international consensus proposed by the European Society for Clinical Nutrition and Metabolism (ESPEN) and the European Association for the Study of Obesity (EASO). Very encouraging results emerge from initial implementation of the ESPEN-EASO algorithm. In addition, even more recent progress in global consensus on sarcopenia conceptual definition is likely to further enhance consistency in sarcopenic obesity identification. The latter Global Leadership Initiative on Sarcopenia (GLIS) initiative also adopted a new definition of muscle specific strength. Its inclusion in sarcopenia diagnostic constructs opens the possibility of its potential evaluation in sarcopenic obesity, also considering the emerging positive impact of obesity treatment and fat loss on muscle functional parameters. SUMMARY New consensus tools for sarcopenic obesity diagnosis are likely to improve awareness, understanding, identification and treatment of this under-recognized obesity phenotype.
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Affiliation(s)
- Gianluca Gortan Cappellari
- Department of Medical, Surgical and Health Sciences – University of Trieste
- Azienda Sanitaria Universitaria Giuliano Isontina (ASUGI), Trieste
| | - Michela Zanetti
- Department of Medical, Surgical and Health Sciences – University of Trieste
- Azienda Sanitaria Universitaria Giuliano Isontina (ASUGI), Trieste
| | | | - Rocco Barazzoni
- Department of Medical, Surgical and Health Sciences – University of Trieste
- Azienda Sanitaria Universitaria Giuliano Isontina (ASUGI), Trieste
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9
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Huang S, Chen X, Ding H, Dong B. The relationship between low and asymmetric handgrip strength and low muscle mass: results of a cross-sectional study on health and aging trends in western China. BMC Geriatr 2024; 24:650. [PMID: 39095770 PMCID: PMC11295882 DOI: 10.1186/s12877-024-05199-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 07/03/2024] [Indexed: 08/04/2024] Open
Abstract
OBJECTIVE The aim was to determine the relationship between low handgrip strength (HGS) only, asymmetric HGS only, and low HGS combined with asymmetric HGS and low muscle mass in the West China Health and Aging Trends Study (WCHAT) data. STUDY DESIGN Individuals aged at least 50 years old were included in this cross-sectional study using WCHAT data. Demographic characteristics, such as age, marital status, education level, ethnicity, and drinking and smoking history, as well as chronic diseases, were recorded for all participants. The HGS of both hands was tested three times using a grip dynanometer with the participant in a standing position with arms extended, before recording the maximum value for both hands. The maximum value referred to values < 28 kg and < 18 kg for males and females, respectively. HGS ratios (non-dominant HGS/dominant HGS) of < 0.90 or > 1.10 suggest asymmetric HGS. The subjects were then allocated to the low HGS, asymmetrical HGS, and combined low and asymmetrical HGS (BOTH group) groups, and those with neither low nor asymmetric HGS (the normal group). The InBody 770 instrument was used for the analysis of muscle mass, with low muscle mass defined as a skeletal muscle mass index (SMI) of < 7.0 kg/m2 or < 5.7 kg/m2 for males and females, respectively. The associations between the different HGS groups and low muscle mass were assessed by logistic regression analysis. RESULTS The study included 1748 subjects, of whom 1272 (72.77%) were over the age of 60 years. The numbers of Han, Tibetan, and Qiang were 885 (50.63%), 217 (12.41%), and 579 (33.12%), respectively. A total of 465 individuals (26.60%) were classified as having low muscle mass, while 228 (13.04%), 536 (30.66%), and 125 (7.15%) participants were allocated to the low HGS, asymmetric HGS, and BOTH groups, respectively. The average SMI differed significantly between the normal group and the other groups (normal group vs. asymmetric HGS group vs. low HGS group vs. BOTH group: 6.627 kg/m2 vs. 6.633 kg/m2 vs. 6.492 kg/m2 vs. 5.995 kg/m2, respectively, P < 0.05). In addition, the prevalence of low muscle mass in the normal, asymmetric HGS, low HGS, and BOTH groups increased sequentially, with significant differences (normal group vs. asymmetric HGS group vs. low HGS group vs. BOTH group: 21.5% vs. 22.4% vs. 39.5% vs. 56%, respectively, P = 0.001). Further logistic regression analysis showed that the presence of low HGS (OR = 1.7, 95%CI: 1.203-2.402) and both low and asymmetric HGS (OR = 3.378, 95%CI: 2.173-5.252) were predictive of low muscle mass, with the chance being higher for the latter condition. CONCLUSION The findings suggest that although asymmetrical HGS itself does not increase the chances of low muscle mass. When low HGS and a combination of both features (low HGS combined with asymmetric HGS) is present in subjects, the chance of low muscle mass increases.
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Affiliation(s)
- Sha Huang
- Department of Geriatric, Zigong Affiliated Hospital of Southwest Medical University, Zigong, Sichuan, China
- West China Hospital, National Clinical Research Center for Geriatrics, Sichuan University, Chengdu, Sichuan Province, China
| | - Xiaoyan Chen
- Department of Geriatric, Zigong Affiliated Hospital of Southwest Medical University, Zigong, Sichuan, China
- West China Hospital, National Clinical Research Center for Geriatrics, Sichuan University, Chengdu, Sichuan Province, China
| | - Huaying Ding
- Department of Geriatric, Zigong Affiliated Hospital of Southwest Medical University, Zigong, Sichuan, China
- West China Hospital, National Clinical Research Center for Geriatrics, Sichuan University, Chengdu, Sichuan Province, China
| | - Birong Dong
- Department of Geriatric, Zigong Affiliated Hospital of Southwest Medical University, Zigong, Sichuan, China.
- West China Hospital, National Clinical Research Center for Geriatrics, Sichuan University, Chengdu, Sichuan Province, China.
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Chen Y, Zheng X, Liu C, Liu T, Lin S, Xie H, Zhang H, Shi J, Liu X, Bu Z, Guo S, Huang Z, Deng L, Shi H. Anthropometrics and cancer prognosis: a multicenter cohort study. Am J Clin Nutr 2024; 120:47-55. [PMID: 38763424 DOI: 10.1016/j.ajcnut.2024.05.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2023] [Revised: 03/21/2024] [Accepted: 05/01/2024] [Indexed: 05/21/2024] Open
Abstract
BACKGROUND Anthropometric indicators have been shown to be associated with the prognosis of patients with cancer. However, any single anthropometric index has limitation in predicting the prognosis. OBJECTIVES This study aimed to observe the predictive role of 7 anthropometric indicators based on body size on the prognosis of patients with cancer. METHODS A principal component analysis (PCA) on 7 anthropometric measurements: height, weight, BMI, hand grip strength (HGS), triceps skinfold thickness (TSF), mid-upper arm circumference (MAC), and calf circumference (CAC) was conducted. Principal components (PCs) were derived from this analysis. Cox regression analysis was used to investigate the association between the prognosis of patients with cancer and the PCs. Subgroups and sensitivity analyses were also conducted. RESULTS Through PCA, 4 distinct PCs were identified, collectively explaining 88.3% of the variance. PC1, primarily characterized by general obesity, exhibited a significant inverse association with risk of cancer-related death (adjusted hazard ratio [HR]: 0.86; 95% confidence interval [CI]: 0.83, 0.88). PC2 (short stature with high TSF) was not significantly associated with cancer prognosis. PC3 (high BMI coupled with low HGS) demonstrated a significant increase with risk of cancer-related death (adjusted HR: 1.08; 95% CI: 1.05, 1.11). PC4 (tall stature with high TSF) exhibited a significant association with increased cancer risk (adjusted HR: 1.05; 95% CI: 1.02, 1.07). These associations varied across different cancer stages. The stability of the results was confirmed through sensitivity analyses. CONCLUSIONS Different body sizes are associated with distinct prognostic outcomes in patients with cancer. The impact of BMI on prognosis is influenced by both HGS and subcutaneous fat. This finding may influence the clinical care of cancer and improve the survival of cancer patients.
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Affiliation(s)
- Yue Chen
- The Second Clinical Medical College of Wenzhou Medical University, Wenzhou, Zhejiang, China; Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China; Laboratory for Clinical Medicine, Capital Medical University, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Xin Zheng
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China; Laboratory for Clinical Medicine, Capital Medical University, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Chenan Liu
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China; Laboratory for Clinical Medicine, Capital Medical University, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Tong Liu
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China; Laboratory for Clinical Medicine, Capital Medical University, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Shiqi Lin
- The Second Clinical Medical College of Wenzhou Medical University, Wenzhou, Zhejiang, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China; Laboratory for Clinical Medicine, Capital Medical University, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Hailun Xie
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China; Laboratory for Clinical Medicine, Capital Medical University, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Heyang Zhang
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China; Laboratory for Clinical Medicine, Capital Medical University, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Jinyu Shi
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China; Laboratory for Clinical Medicine, Capital Medical University, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Xiaoyue Liu
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China; Laboratory for Clinical Medicine, Capital Medical University, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Zhaoting Bu
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China; Laboratory for Clinical Medicine, Capital Medical University, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Shubin Guo
- Emergency Medicine Clinical Research Center, Beijing Chao-Yang Hospital, Capital Medical University, Fengtai, China
| | - Zhenghui Huang
- Emergency Medicine Clinical Research Center, Beijing Chao-Yang Hospital, Capital Medical University, Fengtai, China
| | - Li Deng
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China; Laboratory for Clinical Medicine, Capital Medical University, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China.
| | - Hanping Shi
- The Second Clinical Medical College of Wenzhou Medical University, Wenzhou, Zhejiang, China; Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China; Laboratory for Clinical Medicine, Capital Medical University, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China.
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Hu L, Han X, Chen M, Zhang T. Association of waist circumference and BMI with premature death in young and middle-aged population. Front Public Health 2024; 12:1389766. [PMID: 38873315 PMCID: PMC11169795 DOI: 10.3389/fpubh.2024.1389766] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Accepted: 05/07/2024] [Indexed: 06/15/2024] Open
Abstract
Introduction Premature death is a global health indicator, significantly impacted by obesity, especially in young and middle-aged population. Both body mass index (BMI) and waist circumference (WC) assess obesity, with WC specifically indicating central obesity and showing a stronger relationship with mortality. However, despite known associations between BMI and premature death, as well as the well-recognized correlation between WC and adverse health outcomes, the specific relationship between WC and premature death remains unclear. Therefore, focusing on young and middle-aged individuals, this study aimed to reliably estimate independent and combined associations between WC, BMI and premature death, thereby providing causal evidence to support strategies for obesity management. Methods This study involved 49,217 subjects aged 18-50 years in the United States from 1999 to 2018 National Health and Nutrition Examination Survey (NHANES). Independent and combined associations between WC and BMI with premature death across sex and age stratum were examined by Cox regression. Survey weighting and inverse probability weighting (IPW) were further considered to control selection and confounding bias. Robustness assessment has been conducted on both NHANES and China Health and Retirement Longitudinal Study (CHARLS) data. Results A linear and positive relationship between WC and all-cause premature death was found in both males and females, with adjusted HRs of 1.019 (95%CI = 1.004-1.034) and 1.065 (95%CI = 1.039-1.091), respectively. Nonlinear relationships were found with respect to BMI and all-cause premature death. For females aged 36-50 with a BMI below 28.6 kg/m2, the risk of premature death decreased as BMI increased, indicated by adjusted HRs of 0.856 (95%CI = 0.790-0.927). Joint analysis showed among people living with obesity, a larger WC increased premature death risk (HR = 1.924, 95%CI = 1.444-2.564). Discussion WC and BMI exhibited prominent associations with premature death in young and middle-aged population. Maintaining an appropriate WC and BMI bears significant implications for preventing premature death.
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Affiliation(s)
| | | | | | - Tao Zhang
- Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
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Tang H, Li R, Li R, Lian R, Chen X, Jiang W, Jiang J, Yang M. Sarcopenic obesity in nursing home residents: a multi-center study on diagnostic methods and their association with instrumental activities of daily living. BMC Geriatr 2024; 24:446. [PMID: 38773403 PMCID: PMC11110436 DOI: 10.1186/s12877-024-04955-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Accepted: 04/08/2024] [Indexed: 05/23/2024] Open
Abstract
BACKGROUND Sarcopenic obesity (SO) in nursing home residents is rarely studied. We aimed to evaluate and compare the prevalence and consistency of different SO diagnostic methods and to investigate which criterion demonstrated a stronger association with instrumental activities of daily living (IADL) disability. METHODS We consecutively recruited older adults aged ≥ 60 years, residing in 15 nursing homes in Zigong City, China. Sarcopenia obesity was defined according to the European Society for Clinical Nutrition and Metabolism (ESPEN) and the European Association for the Study of Obesity criteria (SOESPEN), recommending skeletal muscle mass (SMM) adjusted by body weight (SMM/W) to identify low muscle mass. Further, we adapted ESPEN criteria (SOESPEN-M) by employing SMM adjusted by body mass index (SMM/BMI). RESULTS We included 832 participants (median age 73.0 years, 296 women). The prevalence of SOESPEN and SOESPEN-M was 43.5% and 45.3%, respectively. SOESPEN showed good consistency with SOESPEN-M (Cohen's kappa = 0.759). More than one-third of participants in the normal weight group were diagnosed with SOESPEN or SOESPEN-M. Even within the underweight group, the prevalence of SOESPEN and SOESPEN-M was 8.9% and 22.2%, respectively. Participants with IADL disability had significantly lower SMM/W and SMM/BMI, but higher fat mass percentage of body weight (FM%) than participants without IADL disability. After full adjustment for potential confounders, SOESPEN-M (OR 1.68, 95% CI 1.21 to 2.32), but not SOESPEN (OR 1.28, 95% CI 0.93 to 1.75), remained significantly associated with IADL disability. CONCLUSIONS Both SOESPEN and SOESPEN-M showed a high prevalence among nursing home residents, even among individuals with underweight or normal weight. While SOESPEN had a good consistency with SOESPEN-M, only SOESPEN-M was independently associated with IADL disability. Screening and diagnosis of SO should be conducted in nursing home residents irrespective of BMI.
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Affiliation(s)
- Huiyu Tang
- Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Runjie Li
- Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Ruicen Li
- Health Management Center, West China Hospital, Sichuan University, Chengdu, China
| | - Rongna Lian
- Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Xiaoyan Chen
- Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Wenhua Jiang
- Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Jiaojiao Jiang
- Rehabilitation Center, West China Hospital, Sichuan University, Chengdu, China.
| | - Ming Yang
- Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
- West China Hospital, National Clinical Research Center for Geriatrics, Sichuan University, Chengdu, China.
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Huang S, Li J, Chen M, Zhu T, Lei X, Li Q, Yang Q, Chen X. Assessment of sarcopenic obesity as a predictor of pneumonia in patients with stable schizophrenia-A prospective study. Clin Nutr ESPEN 2024; 60:343-347. [PMID: 38479933 DOI: 10.1016/j.clnesp.2024.02.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Revised: 01/24/2024] [Accepted: 02/23/2024] [Indexed: 04/13/2024]
Abstract
OBJECTIVE The European Society for Clinical Nutrition and Metabolism (ESPEN) and the European Association for the Study of Obesity (EASO) recently released the first international consensus on the diagnostic criteria for Sarcopenic obesity (SO). The present study aimed to explore the ability of SO to predict the risk of pneumonia in patients with stable schizophrenia. METHODS This was a prospective study involving hospitalized patients with schizophrenia aged ≥50 years from two mental health centers in western China. Baseline patient data were collected from September 1 to September 30, 2020. Follow-up data on pneumonia were collected from October 2020 to October 2022. The diagnosis of SO was based on the ESPEN/EASO criteria. Patients were assessed for handgrip strength (HGS), skeletal muscle mass/weight (SMM/W), and fat mass percentage (FM%). Logistic regression analysis was used to explore the effect of SO on the risk of pneumonia in patients with stable schizophrenia. RESULTS A total of 320 patients with stable schizophrenia were included. Of these, 74 (23.13%) were diagnosed with SO, while 117 (36.56%) developed pneumonia. Compared with patients in the non-low HGS, non-low HGS + non-low SMM/W (or non-low HGS + low SMM/W or low HGS + non-low SMM/W) and non-SO groups, the proportions of patients with pneumonia in the low HGS (42.3% vs. 25.9%, p = 0.004), low HGS + low SMM/W (45.3% vs. 33.3%, p = 0.048), and SO (47.3% vs. 33.3%, p = 0.029) groups, respectively, were higher. However, there was no difference in the proportion of patients with pneumonia in the low SMM/W group and the obese group compared with the non-low SMM/W and non-obese groups. Further logistic regression analysis after adjustment for potential influencing factors showed that compared with the non-low HGS group, patients in the low HGS group had a higher risk of pneumonia (OR = 1.892, 95%CI: 1.096-3.264). CONCLUSION SO defined according to the ESPEN/EASO criteria was not found to be significantly associated with the development of pneumonia in patients with stable schizophrenia. Further verification of these results is needed with larger sample sizes and the establishment of a cutoff value for this population.
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Affiliation(s)
- Sha Huang
- Zigong Affiliated Hospital of Southwest Medical University, Zigong Psychiatric Research Center, Zigong, Sichuan Province, China
| | - Jianqun Li
- The Affiliated Traditional Chinese Medicine Hospital of Southwest Medcical University, Luzhou, Sichuan Province, China
| | - Ming Chen
- Psychiatric Hospital of Ziyang, Ziyang, Sichuan Province, China
| | - Tian Zhu
- Psychiatric Hospital of Ziyang, Ziyang, Sichuan Province, China
| | - Xiuping Lei
- Zigong Affiliated Hospital of Southwest Medical University, Zigong Psychiatric Research Center, Zigong, Sichuan Province, China
| | - Qiuxia Li
- Psychiatric Hospital of Ziyang, Ziyang, Sichuan Province, China
| | - Qin Yang
- Psychiatric Hospital of Ziyang, Ziyang, Sichuan Province, China
| | - Xiaoyan Chen
- Zigong Affiliated Hospital of Southwest Medical University, Zigong Psychiatric Research Center, Zigong, Sichuan Province, China.
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Tang H, Lian R, Li R, Jiang J, Yang M. Landscape and research trends of sarcopenic obesity research: A bibliometric analysis. Heliyon 2024; 10:e24696. [PMID: 38304815 PMCID: PMC10831793 DOI: 10.1016/j.heliyon.2024.e24696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 11/04/2023] [Accepted: 01/12/2024] [Indexed: 02/03/2024] Open
Abstract
Background Sarcopenic obesity (SO) is a condition characterized by the coexistence of sarcopenia (loss of muscle mass and function) and obesity. This condition has emerged as a public health concern, particularly with the aging population. Despite an approximately 30-year history of SO research, detailed quantitative analysis of existing research was never undertaken. We aimed to depict the landscape of SO research using bibliometric analysis of literature. Methods We searched the Web of Science Core Collection on January 15, 2023. The following bibliometric indicators were included: publication trend, the most influential country, the most active discipline, productive institutions, productive journals, prolific and highly cited authors, and highly cited publications. We constructed co-authorship network to explore individual-level, institutional-level, and international-level collaborative patterns in the VOSviewer or Sci2 software. Furthermore, keywords co-occurrence network was extracted by the VOSviewer software, and the burst-detection analysis of keywords was performed using the CiteSpace software. Results A total of 2023 original articles were retrieved for data analysis. The publications increased dramatically in the last decade. The United States had the highest number of publications on SO (n = 904). The Seoul National University Hospital was the most prolific institution (n = 54) among the 2675 institutions analyzed. As for journals, Clinical Nutrition had the highest number of publications on SO (n = 75). Kim JH was the most prolific author (n = 25), while Cederholm T authored the most cited publication (9381 citations). More than 80 disciplines were involved in SO research, of which, "Geriatrics and Gerontology" was the most activated discipline. The European Working Group on Sarcopenia in Older People (EWGSOP) consensus was the most cited publication (7209 citations). Moreover, the hotspots of SO have been shifting from its biology, prevalence, and risk factors to its outcomes, prognostic factors, complications, and quality of life. Its relationships also evolved from being between SO and aging to being between SO and other diseases. Conclusions Our study provided a comprehensive landscape of SO research, which may help researchers better identify key information and research trends in this field.
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Affiliation(s)
- Huiyu Tang
- Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Rongna Lian
- Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Runjie Li
- Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Jiaojiao Jiang
- Rehabilitation Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Ming Yang
- Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China
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Yin L, Song C, Cui J, Lin X, Li N, Fan Y, Zhang L, Liu J, Chong F, Cong M, Li Z, Li S, Guo Z, Li W, Shi H, Xu H. Association of possible sarcopenia with all-cause mortality in patients with solid cancer: A nationwide multicenter cohort study. J Nutr Health Aging 2024; 28:100023. [PMID: 38216426 DOI: 10.1016/j.jnha.2023.100023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2023] [Accepted: 10/25/2023] [Indexed: 01/14/2024]
Abstract
OBJECTIVES The concept of possible sarcopenia (PS) was recently introduced to enable timely intervention in settings without the technologies required to make a full diagnosis of sarcopenia. This study aimed to investigate the association between PS and all-cause mortality in patients with solid cancer. DESIGN Retrospective observational study. SETTING AND PARTICIPANTS 13,736 patients with 16 types of solid cancer who were ≥18 years old. MEASUREMENTS The presence of both a low calf circumference (men <34 cm or women <33 cm) and low handgrip strength (men <28 kg or women <18 kg) was considered to indicate PS. Harrell's C-index was used to assess prognostic value and the association of PS with mortality was estimated by calculating multivariable-adjusted hazard ratios (HRs). RESULTS The study enrolled 7207 men and 6529 women (median age = 57.8 years). During a median follow-up of 43 months, 3150 deaths occurred. PS showed higher Harrell's C-index (0.549, 95%CI = [0.541, 0.557]) than the low calf circumference (0.541, 95%CI = [0.531, 0.551], P = 0.037) or low handgrip strength (0.542, 95%CI = [0.532, 0.552], P = 0.026). PS was associated with increased mortality risk in both univariate (HR = 1.587, 95%CI = [1.476, 1.708]) and multivariable-adjusted models (HR = 1.190, 95%CI = [1.094, 1.293]). Sensitivity analyses showed that the association of PS with mortality was robust in different covariate subgroups, which also held after excluding those patients who died within the first 3 months (HR = 1.162, 95%CI = [1.060, 1.273]), 6 months (HR = 1.150, 95%CI = [1.039, 1.274]) and 12 months (HR = 1.139, 95%CI = [1.002, 1.296]) after enrollment. CONCLUSION PS could independently and robustly predict all-cause mortality in patients with solid cancer. These findings imply the importance of including PS assessment in routine cancer care to provide significant prognostic information to help mitigate sarcopenia-related premature deaths.
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Affiliation(s)
- Liangyu Yin
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing 400042, China; Institute of Hepatopancreatobiliary Surgery, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Chunhua Song
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Jiuwei Cui
- Cancer Center of the First Hospital of Jilin University, Changchun 130021, China
| | - Xin Lin
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing 400042, China
| | - Na Li
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing 400042, China
| | - Yang Fan
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing 400042, China
| | - Ling Zhang
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing 400042, China
| | - Jie Liu
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing 400042, China
| | - Feifei Chong
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing 400042, China
| | - Minghua Cong
- Department of Comprehensive Oncology, National Cancer Center or Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Zengning Li
- Department of Clinical Nutrition, The First Hospital of Hebei Medical University, Shijiazhuang 050031, China
| | - Suyi Li
- Department of Nutrition and Metabolism of Oncology, The First Affiliated Hospital of University of Science and Technology of China (Anhui Provincial Cancer Hospital), Hefei 230031, China
| | - Zengqing Guo
- Department of Medical Oncology, Fujian Cancer Hospital, Fujian Medical University Cancer Hospital, Fuzhou 350014, China
| | - Wei Li
- Cancer Center of the First Hospital of Jilin University, Changchun 130021, China
| | - Hanping Shi
- Department of Gastrointestinal Surgery and Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing 100038, China.
| | - Hongxia Xu
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing 400042, China.
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