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Chen S, Xu X, Gong H, Chen R, Guan L, Yan X, Zhou L, Yang Y, Wang J, Zhou J, Zou C, Huang P. Global epidemiological features and impact of osteosarcopenia: A comprehensive meta-analysis and systematic review. J Cachexia Sarcopenia Muscle 2024; 15:8-20. [PMID: 38086772 PMCID: PMC10834350 DOI: 10.1002/jcsm.13392] [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: 07/05/2023] [Revised: 10/04/2023] [Accepted: 11/02/2023] [Indexed: 02/03/2024] Open
Abstract
Osteosarcopenia is defined as the concurrent occurrence of osteopenia/osteoporosis and sarcopenia. The aim of the current study was to perform a systematic review with meta-analysis to determine the global prevalence, risk factors and clinical outcomes of osteosarcopenia. This review was registered in PROSPERO (CRD42022351229). PubMed, Cochrane, Medline and Embase were searched from inception to February 2023 to retrieve eligible observational population-based studies. Pooled osteosarcopenia prevalence was calculated with 95% confidence interval (CI), and subgroup analyses were performed. The risk factor of osteosarcopenia and its association with clinical outcomes were expressed as odds ratio (OR) and hazard ratio (HR), respectively. Heterogeneity was estimated using the I2 test. Study quality was assessed using validated instruments matched to study designs. The search identified 55 158 studies, and 66 studies (64 404 participants, mean age from 46.6 to 93 years) were analysed in the final analysis, including 48 cross-sectional studies, 17 cohort studies and 1 case-control study. Overall, the pooled prevalence of osteosarcopenia was 18.5% (95% CI: 16.7-20.3, I2 = 98.7%), including 15.3% (95% CI: 13.2-17.4, I2 = 97.6%) in men and 19.4% (95% CI: 16.9-21.9, I2 = 98.5%) in women. The prevalence of osteosarcopenia diagnosed using sarcopenia plus osteopenia/osteoporosis was 20.7% (95% CI: 17.1-24.4, I2 = 98.55%), and the prevalence of using sarcopenia plus osteoporosis was 16.1% (95% CI: 13.3-18.9, I2 = 98.0%). The global osteosarcopenia prevalence varied in different regions with 22.9% in Oceania, 21.6% in Asia, 20.8% in South America, 15.7% in North America and 10.9% in Europe. A statistically significant difference was found in the subgroups of the study population between the hospital (24.7%) and community (12.9%) (P = 0.001). Frailty (OR = 4.72, 95% CI: 2.71-8.23, I2 = 61.1%), malnutrition (OR = 2.35, 95% CI: 1.62-3.40, I2 = 50.0%), female sex (OR = 5.07, 95% CI: 2.96-8.69, I2 = 73.0%) and higher age (OR = 1.10, 95% CI: 1.06-1.15, I2 ==86.0%) were significantly associated with a higher risk for osteosarcopenia. Meta-analysis of cohort studies showed that osteosarcopenia significantly increased the risk of fall (HR = 1.54, 95% CI: 1.20-1.97; I2 = 1.0%, three studies), fracture (HR = 2.13, 95% CI: 1.61-2.81; I2 = 67.8%, seven studies) and mortality (HR = 1.75, 95% CI: 1.34-2.28; I2 = 0.0%, five studies). Despite the heterogeneity arising from varied definitions and criteria, our findings highlight a significant global prevalence of osteosarcopenia and its negative impact on clinical health. Standardizing diagnostic criteria for osteosarcopenia would be advantageous in the future, and early detection and management should be emphasized in this patient population.
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Affiliation(s)
- Shanping Chen
- Department of Gerontology and Geriatric, Chengdu Fifth People's Hospital, Chengdu, China
- The Second Clinical Medical College, Affiliated Fifth People's Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
- Geriatric Diseases Institute of Chengdu, Chengdu, China
| | - Xiao Xu
- Affiliated Hospital of Jinggangshan University, Center for Clinical Medicine Research of Jinggangshan University, Ji'an, China
- Department of Medicine, Jinggangshan University, Ji'an, China
- Online Collaborative Research Center for Evidence-Based Medicine Ministry of Education, Jinggangshan University Branch, Ji'an, China
| | - Huping Gong
- College of Nursing, Gannan Medical University, Ganzhou, China
| | - Ruzhao Chen
- Affiliated Hospital of Jinggangshan University, Center for Clinical Medicine Research of Jinggangshan University, Ji'an, China
- Department of Medicine, Jinggangshan University, Ji'an, China
- Online Collaborative Research Center for Evidence-Based Medicine Ministry of Education, Jinggangshan University Branch, Ji'an, China
| | - Lijuan Guan
- Department of Gerontology and Geriatric, Chengdu Fifth People's Hospital, Chengdu, China
- The Second Clinical Medical College, Affiliated Fifth People's Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
- Geriatric Diseases Institute of Chengdu, Chengdu, China
| | - Xuedan Yan
- Department of Gerontology and Geriatric, Chengdu Fifth People's Hospital, Chengdu, China
- The Second Clinical Medical College, Affiliated Fifth People's Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
- Geriatric Diseases Institute of Chengdu, Chengdu, China
| | - Lihua Zhou
- Department of Gerontology and Geriatric, Chengdu Fifth People's Hospital, Chengdu, China
- The Second Clinical Medical College, Affiliated Fifth People's Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
- Geriatric Diseases Institute of Chengdu, Chengdu, China
| | - Yongxue Yang
- Department of Gerontology and Geriatric, Chengdu Fifth People's Hospital, Chengdu, China
- The Second Clinical Medical College, Affiliated Fifth People's Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
- Geriatric Diseases Institute of Chengdu, Chengdu, China
| | - Jiang Wang
- Affiliated Hospital of Jinggangshan University, Center for Clinical Medicine Research of Jinggangshan University, Ji'an, China
- Department of Medicine, Jinggangshan University, Ji'an, China
- Online Collaborative Research Center for Evidence-Based Medicine Ministry of Education, Jinggangshan University Branch, Ji'an, China
| | - Jianghua Zhou
- Department of Cardiology, The First Affiliated Hospital, Wenzhou Medical University, Wenzhou, China
| | - Chuan Zou
- The Second Clinical Medical College, Affiliated Fifth People's Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
- Geriatric Diseases Institute of Chengdu, Chengdu, China
- Department of General Practice, Chengdu Fifth People's Hospital, Chengdu, China
| | - Pan Huang
- College of Nursing, Wenzhou Medical University, Wenzhou, China
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Silveira EA, Vinícius-Souza G, Pereira CC, de Oliveira C, Noll M, Pagotto V. Osteosarcopenia later in life: Prevalence and associated risk factors. Clin Nutr ESPEN 2023; 58:213-220. [PMID: 38057009 DOI: 10.1016/j.clnesp.2023.08.030] [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: 09/20/2022] [Revised: 08/23/2023] [Accepted: 08/28/2023] [Indexed: 12/08/2023]
Abstract
BACKGROUND AND AIMS The identification of risk factors for osteosarcopenia in older adults is important for planning preventative strategies in clinical practice. Therefore, our study aimed to investigate the prevalence and risk factors associated with osteosarcopenia in older adults using different diagnostic criteria. METHODS The sample included 171 community-dwelling older adults with a mean age of 79.4 ± 5.9 years and mean body mass index of 25.67 ± 4.70 kg/m2. We analyzed sociodemographic, biomarkers, lifestyle, and health condition data from participants of the "Projeto Idosos - Goiânia" cohort study. The outcome osteosarcopenia was defined as the simultaneous occurrence of sarcopenia and osteopenia. Osteopenia was diagnosed by low lumbar spine bone mineral density (BMD) using dual-energy X-ray absorptiometry (DEXA). Sarcopenia was diagnosed using handgrip dynamometry and appendicular skeletal mass index assessed by DEXA following the criteria of the two European consensuses on sarcopenia (2010 and 2018). Two osteosarcopenia outcome variables were evaluated: OsteoSarc1 and OsteoSarc2 using the 2010 and 2018 European sarcopenia consensus criteria, respectively. Multivariate Poisson regression analysis was used to calculate the prevalence ratios (PRs). RESULTS The prevalence of OsteoSarc1 and OsteoSarc2 were 12.8% and 7.2%, respectively, with no significant gender differences. OsteoSarc1 was associated with low potassium (PR: 3.39, 95% confidence interval [CI]: 1.10-10.43) and malnutrition (PR: 3.84, 95% CI: 1.78-8.30). OsteoSarc2 was associated with being ≥80 years (PR: 7.64, 95% CI: 1.57-37.07), >4 years of education (PR: 3.25, 95% CI: 1.03-10.22), alcohol consumption (PR: 2.41, 95% CI: 1.01-5.77), low potassium (PR: 2.22, 95% CI: 1.45-6.87), low serum vitamin D (PR: 4.47, 95% CI: 1.68-11.88), and malnutrition (PR: 5.00, 95% CI: 1.06-23.51). CONCLUSIONS OsteoSarc1 had a higher prevalence. The risk factors associated with the two outcomes were malnutrition and potassium level, as well as other risk factors, such as alcohol consumption and low vitamin D level. These findings may contribute to the prevention or treatment of this health condition in older adults.
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Affiliation(s)
- Erika A Silveira
- Graduate Program in Health Sciences, School of Medicine, Federal University of Goiás, Goiânia, Brazil; Department of Epidemiology & Public Health, University College London, London, UK.
| | - Guilherme Vinícius-Souza
- Graduate Program in Health Sciences, School of Medicine, Federal University of Goiás, Goiânia, Brazil
| | - Cristina Camargo Pereira
- Graduate Program in Health Sciences, School of Medicine, Federal University of Goiás, Goiânia, Brazil
| | - Cesar de Oliveira
- Department of Epidemiology & Public Health, University College London, London, UK
| | - Matias Noll
- Goiano Federal Institute, Ceres, Goiás, Brazil.
| | - Valéria Pagotto
- Graduate Program in Nursing, School of Nursing, Federal University of Goiás, Goiânia, Brazil
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Barrón-Pavón V, González-Stager MA, Rodríguez-Fernández A. [Relationship between body composition and the risk of non-communicable chronic diseases in active older women from Chillán (Chile).]. Rev Esp Salud Publica 2023; 97:e202306045. [PMID: 37387225 PMCID: PMC10541250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Accepted: 05/08/2023] [Indexed: 07/01/2023] Open
Abstract
OBJECTIVE In Chile, the elderly represent 18% of the population. In women, the aging process impacts body composition, in addition to the coexistence of other pathologies such as chronic noncommunicable diseases (NCDs). The aim of the study was to relate body composition to the presence of chronic noncommunicable diseases in active older women in the city of Chillán. METHODS The sample consisted of 284 women belonging to senior centers in Chillán. Body composition was determined by bioimpedanciometry. Sociodemographic information, prevalent pathologies, geriatric syndromes and physical activity were determined by means of a validated questionnaire. Data were analyzed with descriptive and inferential statistics in STATA 15.0 software with an α<0.05. RESULTS Of the sample, 63% were under seventy-five years of age, 77.5% had less than twelve years of schooling, the predominant socioeconomic level was low, and the poor perception of health was mainly referred to as well as the use of regular medication. Arterial hypertension (AHT) and hypercholesterolemia were prevalent with 70.4% and 48.2% respectively. Body mass index (BMI) was 29.7±4.8 and 71.8% had excess malnutrition. The group older than seventy-five years presented more body fat (BMF) and extracellular water (ECW). AHT was related to higher BMI, TGM, MBC (Mean Arm Circumference), PC (Calf Circumference) and ECW (p<0.05), while Diabetes mellitus was related to BMI and MBC. CONCLUSIONS Hypertension is the most frequent pathology and is related to higher BMI, MGT, CMB, CP and ECW, followed by DM2 which is related to BMI and CMB.
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Affiliation(s)
- Verónica Barrón-Pavón
- Departamento de Nutrición y Salud Pública, Facultad de Ciencias de Salud y de los Alimentos, Universidad del Bío-Bío.Universidad del Bío-BíoChillánChile
| | - María Angélica González-Stager
- Departamento de Nutrición y Salud Pública, Facultad de Ciencias de Salud y de los Alimentos, Universidad del Bío-Bío.Universidad del Bío-BíoChillánChile
| | - Alejandra Rodríguez-Fernández
- Departamento de Nutrición y Salud Pública, Facultad de Ciencias de Salud y de los Alimentos, Universidad del Bío-Bío.Universidad del Bío-BíoChillánChile
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Huang T, Li C, Chen F, Xie D, Yang C, Chen Y, Wang J, Li J, Zheng F. Prevalence and risk factors of osteosarcopenia: a systematic review and meta-analysis. BMC Geriatr 2023; 23:369. [PMID: 37322416 PMCID: PMC10273636 DOI: 10.1186/s12877-023-04085-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Accepted: 06/02/2023] [Indexed: 06/17/2023] Open
Abstract
BACKGROUND Osteosarcopenia is a syndrome with a concomitant presence of both sarcopenia and osteopenia/osteoporosis. It increases the risk of frailty, falls, fractures, hospitalization, and death. Not only does it burden the lives of older adults, but it also increases the economic burden on health systems around the world. This study aimed to review the prevalence and risk factors of osteosarcopenia to generate important references for clinical work in this area. METHODS Pubmed, Embase, Cochrane Library, Web of Science, CNKI, Wanfang, CBM, and VIP databases were searched from inception until April 24th, 2022. The quality of studies included in the review was evaluated using the NOS and AHRQ Scale. Pooled effects of the prevalence and associated factors were calculated using random or fixed effects models. Egger's test, Begg's test, and funnel plots were used to test the publication bias. Sensitivity analysis and subgroup analysis were conducted to identify the sources of heterogeneity. Statistical analysis was performed using Stata 14.0 and Review Manager 5.4. RESULTS A total of 31 studies involving 15,062 patients were included in this meta-analysis. The prevalence of osteosarcopenia ranged from 1.5 to 65.7%, with an overall prevalence of 21% (95% CI: 0.16-0.26). The risk factors for osteosarcopenia were female (OR 5.10, 95% CI: 2.37-10.98), older age (OR 1.12, 95% CI: 1.03-1.21), and fracture (OR 2.92, 95% CI: 1.62-5.25). CONCLUSION The prevalence of osteosarcopenia was high. Females, advanced age, and history of fracture were independently associated with osteosarcopenia. It is necessary to adopt integrated multidisciplinary management.
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Affiliation(s)
- Tianjin Huang
- Medical College of Nanchang University, Nanchang, China
- Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
| | - Chen Li
- Medical College of Nanchang University, Nanchang, China
- Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
| | - Faxiu Chen
- Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China.
| | - Dunan Xie
- Medical College of Nanchang University, Nanchang, China
- Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
| | - Chuhua Yang
- Medical College of Nanchang University, Nanchang, China
- Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
| | - Yuting Chen
- Medical College of Nanchang University, Nanchang, China
- Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
| | - Jintao Wang
- Medical College of Nanchang University, Nanchang, China
- Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
| | - Jiming Li
- Medical College of Nanchang University, Nanchang, China
- Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
| | - Fei Zheng
- Medical College of Nanchang University, Nanchang, China
- Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
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