Abstract
Background
Sarcopenia is associated with age-related loss of muscle mass and function and is becoming prevalent in the older Chinese population. This systematic review aims to obtain a reliable estimation of the prevalence of sarcopenia among community-dwelling Chinese populations aged 65 years and older and to characterize its epidemiology.
Methods
A literature search was performed in the Cochrane Library, PubMed, Web of Science, China National Knowledge Infrastructure (CNKI), Wanfang Data, and CQVIP databases up to September 31, 2021. All studies that reported the prevalence of sarcopenia in Chinese community-dwelling older adults were included, and Hoy et al.’s tool was used to assess the risk of bias. The overall prevalence of sarcopenia will be calculated as the primary outcome, and subgroup analyses will be performed by study year, age, sex, muscle mass assessment method, diagnostic criteria and area.
Results
A total of 26 studies were included in this study, which involved 25,921 subjects, and 3597 had sarcopenia. Although significant heterogeneity between studies was reported, no statistically significant publication bias was detected. The overall prevalence of sarcopenia in community-dwelling older adults aged over 65 years in the Chinese population was 17.4% (95% CI: 14.6%-20.2%). Subgroup analysis based on study year, age and sex, muscle mass assessment method, diagnostic criteria, region and area showed that the prevalence of sarcopenia was different in each subgroup.
Implications
The prevalence of sarcopenia in Chinese community-dwelling older adults was higher than that in previous studies. As a multidimensional survey of the prevalence of sarcopenia in older adults, this meta-analysis provides data support for the targeted management of sarcopenia among Chinese older adults.
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Introduction
Sarcopenia is characterized by a progressive loss of skeletal muscle mass, strength and performance [1]. Although it has been included in the 10th edition of the International Classification of Diseases Clinical Modification (ICD-10-CM) with a disease code M62.84 by the World Health Organization (WHO), it is still a common but low level of awareness disease among older adults. In this global aging environment, sarcopenia is associated with many age-related chronic diseases, which may increase the incidence of falls in older adults [2], fractures [3], functional limitation and physical disability [4], and all-cause mortality [5], contributing to poor quality of life. As a previous systematic review reported, sarcopenia affects 9.9%-40.4% of community-dwelling older adults worldwide [6], although some estimates are as high as 60% [7]. These great variations in the prevalence of sarcopenia might be primarily explained by different diagnostic criteria for sarcopenia.
Several guidelines have been published for the early identification, diagnosis and management of sarcopenia. The European Working Group on Sarcopenia (EWGSOP) introduced the first consensus diagnostic criteria for sarcopenia in 2010 [8]. The EWGSOP recommended using the presence of both low muscle mass and low muscle function (strength or performance) for sarcopenia diagnosis and provided the cutoff points of muscle mass, muscle strength, and physical performance with slowing walking speed (≤ 0.8 m/s) or low grip strength (< 20 kg for women and < 30 kg for men, respectively), indicating the onset of sarcopenia. In 2011, the International Working Group on Sarcopenia (IWGS) published the second consensus definition for sarcopenia [9]. The IWGS suggested the diagnosis of sarcopenia as a gait speed less than 1 m/s and objectively measured low muscle mass (appendicular skeletal muscle mass relative to square of height (ASM/height2) ≤ 7.23 kg/m2 in men and ≤ 5.67 kg/m2 in women respectively). The American Foundation for the National Institutes of Health (FNIH) also published their official consensus in 2014. Given the differences in ethnicity, genetic background, diet pattern, and body size, these criteria might not be appropriate for Asians [10]. Thus, the Asian Working Group for Sarcopenia (AWGS) established a consensus for sarcopenia diagnosis appropriate to Asians in 2014 [11]. The AWGS agreed with previous reports that sarcopenia should be described as low muscle mass plus low muscle strength and/or low physical performance. The AWGS recommended cutoff values for muscle mass (≤ 7.0 kg/m2 for men and 5.4 kg/m2 for women by dual X-ray absorptiometry, and ≤ 7.0 kg/m2 for men and 5.7 kg/m2 by using bioimpedance analysis for women) appropriate for Asians. In 2018, the EWGSOP updated the original definition for sarcopenia to increase the consistency of clinical diagnoses [12]. The EWGSOP2 focused on low muscle strength as a key characteristic of sarcopenia. Specifically, sarcopenia is probable when low muscle strength is detected, and sarcopenia is confirmed by the presence of low muscle quantity or quality. When low muscle strength, low muscle quantity/quality and low physical performance were all detected, sarcopenia was considered severe. To increase the harmonization to sarcopenia studies, the EWGSOP2 recommended cutoff points for low muscle strength (grip strength < 27 kg for men and < 16 kg for women, chair stand > 15 s for five rises), low muscle quantity (ASM < 20 kg for men and < 15 kg for women, ASM/height2 < 7.0 kg/m2 for men and < 5.5 kg/m2 for women), and low physical performance (gait speed ≤ 0.8 m/s, Short Physical Performance Battery (SPPB) ≤ 8 points, Time up and Go test (TUG) ≥ 20 s, 400 m walk test noncompletion or ≥ 6 min for completion). Therefore, the use of different cutoff values, different techniques used for muscle measurement and study methodologies makes it challenging to accurately estimate the burden of this disease.
China is facing a severe aging situation with a rapid growth of the aging population. According to the latest data of the Seventh National Population Census issued in May 2021, the number of people aged 65 and over reached 190,635,280, accounting for 13.50% of the whole national population [13], and this percentage almost reached a deeply aging society (14%). Compared with the results of the Sixth National Population Census conducted in 2010, the proportion increased by 4.63%. To realize the goal of healthy aging, it is essential to evaluate the overall prevalence of sarcopenia in community-dwelling older Chinese adults. While more recent studies have focused on the prevalence of sarcopenia, the results have been inconsistent among studies [10, 14, 15]. Currently, several systematic reviews have performed meta-analyses to estimate the prevalence of sarcopenia in Chinese community-dwelling older adults. Some reported an overall prevalence (12%) [16], with the key point being mainland China (17%) being higher than that in nonmainland areas (6%). Some separately reported a prevalence based on the AWGS (14%), IWGS (18%) and EWGSOP (10%) [52]. This was consistent with our results that the older the people were, the higher the risk of sarcopenia they would suffer. It must be clarified that not all participants in the included studies could be divided into 65–69, 70–79, 80 years and older subgroups, and the final subgroup analyses based on age were performed only in studies whose participants could be grouped. In addition, men were more likely to suffer sarcopenia than women, which was consistent with previous studies (14% in men vs. 9.11% in women [49]; 13.1–14.9% in men and 11.4% in women [53]). This finding can be explained by the fact that the difference in prevalence between older men and women may be due to lifestyle and smoking or alcohol status [53]. The deleterious influence of lifestyle may be expanded day by day with aging, and all these factors result in sarcopenia. Moreover, Shimokata et al.’s [54] 12-year cohort study also showed that men were more likely to have a significant loss of muscle mass than women.
In the present study, we found that the highest prevalence of sarcopenia defined by the assessment method was the anthropometric measures. As an easy and convenient way to assess the skeletal muscle mass of limbs, it can be used for effective screening for sarcopenia. Although only 3 studies [21, 32, 37] used this measurement tool to define muscle mass, this subjective approach may overestimate the prevalence of sarcopenia. Otherwise, although DEXA was the gold standard to evaluate muscle mass, BIA was more available, cheap, and operable than DEXA and was suitable for extensive screening and diagnosis of sarcopenia in communities and hospitals.
In this meta-analysis, the results of the diagnostic criteria of Ishii’s score estimated the highest prevalence [32] (50.8%); however, there were only two studies included in the subgroup based on Ishii’s score and SARC-F. The pooled results might be not reliable and need to be interpreted with caution. However, Li et al.’s [55] study verified that Ishii’s score had a high screening value among community-dwelling older adults. This result reminded us that the prevalence of sarcopenia among Chinese community-dwelling older adults may vary in terms of different diagnostic criteria. In addition, the cutoff values used in different diagnostic criteria also influenced the prevalence of sarcopenia. In **a et al.’s [43] study, this relative skeletal muscle mass index (RSMI) value was slightly higher among women, which may underestimate the prevalence of sarcopenia among older women. Nevertheless, 5 studies [25, 28, 30, 34, 40] used the EWGSOP as the diagnostic criteria, and those studies cutoff values of muscle mass and muscle strength were different from each other, which may influence the overall prevalence. For comparability among Asian community-dwelling older adults’ studies, it would be better to choose the AWGS, which has the same cut point value to diagnose sarcopenia, to diagnose the prevalence of sarcopenia in community-dwelling older adults.
The subgroup analysis of region or area showed that the prevalence of sarcopenia in North China (26.9%) was higher than that in South China (13.0%). To date, this is the first study to analyze the area difference in the prevalence of sarcopenia in China. Although Mao et al.’s [39] study separated their area into a northern city and a southern city, the result was inconsistent with our study. The high prevalence in North China in our meta-analysis may be due to one of the studies evaluating the prevalence in 80-year-old and old men living in Bei**g [30]. In addition, we inferred that this prevalence may be affected by the climate and diet patterns caused by geographical differences. Northern older adults may have less time to participate in outdoor physical activity due to the climate influence, and in their daily diet, cereals, eggs, beans and soy products were consumed more, while southern older adults consumed more aquatic products such as rice or fish [56]. They were naturally at greater risk of malnutrition and sarcopenia due to dietary preferences. Considering China as a multiethnic and large country, our findings should be further verified by future meta-analyses focusing on sarcopenia-associated risk factors, including diet structure, physical activity, climate, or diseases such as osteoarthritis, based on geography.
There are also limitations in this study. First, limited to the characteristics of individual studies and the situation of sarcopenia prevalence varying greatly from city to city, the heterogeneity among the included studies was strong. Second, among the 26 included studies, it only covered some province rather than the whole country, so the results cannot be generalized to reveal the overall prevalence of community-dwelling older adults in China. Third, due to the lack of a clear division of geographical location in the included studies, it was not possible to make a detailed subgroup analysis among urban and rural areas. Finally, some included studies did not provide needed information, such as the prevalence among different sexes and ages, so we could not analyze the source of heterogeneity.
Implications
The results of this meta-analysis revealed a serious situation of the overall prevalence of sarcopenia in Chinese community-dwelling older adults aged over 65 (17.4%), which should attract more attention from sports and public health departments. We also advise that future studies use BIA and AWGS to evaluate the prevalence of sarcopenia, which is more suitable for Chinese community-dwelling older adults. Considering that the prevalence of sarcopenia differs by region and area, the public health sectors need to take specific measures or publish targeted health-care policies to prevent the exacerbation of this situation.
Availability of data and materials
All data generated or analyzed during this study are included in this published article and its supplementary information files.
Abbreviations
- ASM:
-
Appendicular Skeletal Muscle
- AWGS:
-
Asian Working Group for Sarcopenia
- BIA:
-
Bioelectric Impedance Analysis
- CNKI:
-
China National Knowledge Infrastructure
- DEXA:
-
Dual Energy X-ray Absorptiometry
- EWGSOP:
-
European Working Group on Sarcopenia
- FNIH:
-
Foundation for the National Institutes of Health
- GRADE:
-
Grading of Recommendations Assessment, Development and Evaluation
- ICD-10-CM:
-
International Classification of Diseases Clinical Modification
- IWGS:
-
International Working Group on Sarcopenia
- NA:
-
Not Available
- PRISMA:
-
Preferred Reporting Items for Systematic Reviews and Meta Analyses
- RSMI:
-
Relative Skeletal Muscle mass Index
- SMI:
-
Skeletal Muscle Index
- SPPB:
-
Short Physical Performance Battery
- TUG:
-
Time up and Go test
- WHO:
-
World Health Organization
References
Cruz-Jentoft AJ, Sayer AA. Sarcopenia. Lancet. 2019;393(10191):2636–46.
Bischoff-Ferrari HA, Orav JE, Kanis JA, Rizzoli R, Schlogl M, Staehelin HB, Willett WC, Dawson-Hughes B. Comparative performance of current definitions of sarcopenia against the prospective incidence of falls among community-dwelling seniors age 65 and older. Osteoporos Int. 2015;26(12):2793–802.
Zhang Y, Hao Q, Ge M, Dong B. Association of sarcopenia and fractures in community-dwelling older adults: a systematic review and meta-analysis of cohort studies. Osteoporos Int. 2018;29(6):1253–62.
Chien MY, Kuo HK, Wu YT. Sarcopenia, cardiopulmonary fitness, and physical disability in community-dwelling elderly people. Phys Ther. 2010;90(9):1277–87.
Liu P, Hao Q, Hai S, Wang H, Cao L, Dong B. Sarcopenia as a predictor of all-cause mortality among community-dwelling older people: a systematic review and meta-analysis. Maturitas. 2017;103:16–22.
Mayhew AJ, Amog K, Phillips S, Parise G, McNicholas PD, de Souza RJ, Thabane L, Raina P. The prevalence of sarcopenia in community-dwelling older adults, an exploration of differences between studies and within definitions: a systematic review and meta-analyses. Age Ageing. 2019;48(1):48–56.
Pagotto V, Silveira EA. Methods, diagnostic criteria, cutoff points, and prevalence of sarcopenia among older people. ScientificWorldJournal. 2014;2014:231312.
Cruz-Jentoft AJ, Baeyens JP, Bauer JM, Boirie Y, Cederholm T, Landi F, Martin FC, Michel JP, Rolland Y, Schneider SM, et al. Sarcopenia: European consensus on definition and diagnosis: report of the European Working Group on Sarcopenia in Older People. Age Ageing. 2010;39(4):412–23.
Fielding RA, Vellas B, Evans WJ, Bhasin S, Morley JE, Newman AB, Abellan VKG, Andrieu S, Bauer J, Breuille D, et al. Sarcopenia: an undiagnosed condition in older adults. Current consensus definition: prevalence, etiology, and consequences. International working group on sarcopenia. J Am Med Dir Assoc. 2011;12(4):249–56.
Lee WJ, Liu LK, Peng LN, Lin MH, Chen LK. Comparisons of sarcopenia defined by IWGS and EWGSOP criteria among older people: results from the I-Lan longitudinal aging study. J Am Med Dir Assoc. 2013;14(7):521–8.
Chen LK, Liu LK, Woo J, Assantachai P, Auyeung TW, Bahyah KS, Chou MY, Chen LY, Hsu PS, Krairit O, et al. Sarcopenia in Asia: consensus report of the Asian Working Group for Sarcopenia. J Am Med Dir Assoc. 2014;15(2):95–101.
Cruz-Jentoft AJ, Bahat G, Bauer J, Boirie Y, Bruyere O, Cederholm T, Cooper C, Landi F, Rolland Y, Sayer AA, et al. Sarcopenia: revised European consensus on definition and diagnosis. Age Ageing. 2019;48(1):16–31.
China NBOS. Communiqué of the Seventh National Population Census (No. 5).|.*2021*2021. 2021.
Zhang Y, Chen X, Hou L, Lin X, Qin D, Wang H, Hai S, Cao L, Dong B. Prevalence and risk factors governing the loss of muscle function in elderly sarcopenia patients: a longitudinal study in China with 4 years of follow-up. J Nutr Health Aging. 2020;24(5):518–24.
Wu IC, Lin CC, Hsiung CA, Wang CY, Wu CH, Chan DC, Li TC, Lin WY, Huang KC, Chen CY, et al. Epidemiology of sarcopenia among community-dwelling older adults in Taiwan: a pooled analysis for a broader adoption of sarcopenia assessments. Geriatr Gerontol Int. 2014;14(Suppl 1):52–60.
Wu Lin-** LJ. Prevalence of sarcopenia in the community-dwelling elder peopole in china: a systematic review and meta-analysis. Modern Prev Med. 2019;46(22):4109–12.
**n C, Sun X, Lu L, Shan L. Prevalence of sarcopenia in older Chinese adults: a systematic review and meta-analysis. BMJ Open. 2021;11(8):e41879.
Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, Shamseer L, Tetzlaff JM, Akl EA, Brennan SE, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. Syst Rev. 2021;10(1):89.
Hoy D, Brooks P, Woolf A, Blyth F, March L, Bain C, Baker P, Smith E, Buchbinder R. Assessing risk of bias in prevalence studies: modification of an existing tool and evidence of interrater agreement. J Clin Epidemiol. 2012;65(9):934–9.
Deng XP, Huang YJ, Yang C, Chen RL, Yu HG. Analysis of the incidence of sarcopenia in the elderly in the community of Futian District in Shenzhen. Jilin Medical Journal. 2017;38(09):1708–10.
Lu Y, Liu X, Zhu Z, Zheng Y, Shi Y. Association between daily intake of high-quality proteins and sarcopenia in aging adults in Shanghai. Acta Nutrimenta Sinica. 2020;42(0512–7955(2020)42:5<429:SHSZLN>2.0.TX;2-Y5):429–34.
Meng XY, Zhao WJ, Zhang JH, Zhao YM, Cui XY, Zhang HY, Su MM, Zhou XY, Zhang HX. Association between physical activity and prevalence of sarcopenia in community-dwelling elderly. Chin J Dis Control Prev. 2020;24(08):914–8.
Sun C, Hou L, Jian W, Gong Y, Wang X. The prevalence of sarcopenia and its related factors among China’s elderly population aged 60 and over. Chin J Geriatr. 2021;40(08):981–6.
Liu X, Hou L, **a X, Liu Y, Zuo Z, Zhang Y, Zhao W, Hao Q, Yue J, Dong B. Prevalence of sarcopenia in multi ethnics adults and the association with cognitive impairment: findings from West-China health and aging trend study. BMC Geriatr. 2020;20(1):63.
Yu R, Wong M, Leung J, Lee J, Auyeung TW, Woo J. Incidence, reversibility, risk factors and the protective effect of high body mass index against sarcopenia in community-dwelling older Chinese adults. Geriatr Gerontol Int. 2014;14(Suppl 1):15–28.
Chen YC, Chen PY, Wang YC, Wang TG, Han DS. Decreased swallowing function in the sarcopenic elderly without clinical dysphagia: a cross-sectional study. BMC Geriatr. 2020;20(1):419.
Hua C, Chen GL, Wen XL, Liu J, Zhang J. HMB intervention of muscle loss in community-dwelling elders with malnutrition. Electronic J Metab Nutr Cancer. 2017;4(01):72–7.
Li HP, Liu Y, Huang LY, Yin KY, Qu H. Application of EWGSOP consensus in evaluating elderly female patients withsarcopenia ranging in age from 70 to 79 from communities of Shanghai. Chin J Sports Med. 2017;36(06):506–12.
Jiao Y, An XW, Zhang XD. Comparison of evaluation methods of sarcopenia in elderly women in Tian**. Chin J Osteoporos Bone Mineral Res. 2020;13(02):133–9.
Meng P, Hu YX, Fan L, Zhang Y, Zhang MX, Sun J, Liu Y, Li M, Yang Y, Wang LH, et al. Sarcopenia and sarcopenic obesity among men aged 80 years and older in B ei**g: Prevalence and its association with functional performance. Geriatr Gerontol Int. 2014;14(Suppl 1):29–35.
Du YP, Wang XD, **e H, Zheng SB, Wu XQ, Zhu XY, Zhang XM, Xue SH, Li HL, Hong W, et al. Sex differences in the prevalence and adverse outcomes of sarcopenia and sarcopenic obesity in community dwelling elderly in East China using the AWGS criteria. BMC Endocr Disord. 2019;19(1):109.
Che YJ, Yang XX, Zhang K, Wang YN, Wang YS, Yan P. Prevalence and related factors of sarcopenia among the community elderly in Urumqi. Chin J Osteoporos Bone Mineral Res. 2020;13(04):304–10.
Chen P, Kong ZX. The prevalence of sarcopenia in Bei**g Community and its influence to osteoporosis in elder people. In 2019 7th ICASS International Conference on Management,Business and Technology Education(ICMBT 2019):2019; Santiago, Chile; 2019:646–52.
Wu CH, Chen KT, Hou MT, Chang YF, Chang CS, Liu PY, Wu SJ, Chiu CJ, Jou IM, Chen CY. Prevalence and associated factors of sarcopenia and severe sarcopenia in older Taiwanese living in rural community: the Tianliao Old People study 04. Geriatr Gerontol Int. 2014;14(Suppl 1):69–75.
Huang J, He F, Gu X, Chen S, Tong Z, Zhong S. Estimation of sarcopenia prevalence in individuals at different ages from Zheijang province in China. Aging (Albany NY). 2021;13(4):6066–75.
Kuo YH, Wang TF, Liu LK, Lee WJ, Peng LN, Chen LK. Epidemiology of sarcopenia and factors associated with it among community-dwelling older adults in Taiwan. Am J Med Sci. 2019;357(2):124–33.
Gao L, Jiang J, Yang M, Hao Q, Luo L, Dong B. Prevalence of Sarcopenia and Associated Factors in Chinese Community-Dwelling Elderly: Comparison Between Rural and Urban Areas. J Am Med Dir Assoc. 2015;16(11):1001–3.
Liu J, Cai Y. The results and characteristics of the study of sarcopenia among the elderly in the community of Shanghai. Health Horiz. 2019;18:248–9.
Mao S, Zhao A, Zhang J, Wang M, Wang Y, Meng L, Li T, Zhang Y. Association between dietary energy and protein intake and sarcopenia among the elderly in 8 cities across China. J Hyg Res. 2021;50(2):242–55.
Meng NH, Li CI, Liu CS, Lin WY, Lin CH, Chang CK, Li TC, Lin CC. Sarcopenia defined by combining height- and weight-adjusted skeletal muscle indices is closely associated with poor physical performance. J Aging Phys Act. 2015;23(4):597–606.
Wang Hui HSLY. Prevalence of sarcopenia and associated factors in community-dwelling elderly populations in Chengdu China. J Sichuan Univ Med Sci. 2019;50(02):224–8.
Wu LC, Kao HH, Chen HJ, Huang PF. Preliminary screening for sarcopenia and related risk factors among the elderly. Medicine (Baltimore). 2021;100(19):e25946.
**a ZW, Meng LP, Man QQ, Li LX, Song PK, Li YQ, Gao YX, Jia SS, Zhang J. Analysis of the dietary factors on sarcopenia in elderly in Bei**g. Journal of Hygiene Research. 2016;45(03):388–93.
Xu W, Chen T, Shan Q, Hu B, Zhao M, Deng X, Zuo J, Hu Y, Fan L. Sarcopenia is associated with cognitive decline and falls but not hospitalization in community-dwelling oldest old in China: a cross-sectional study. Med Sci Monit. 2020;26:e919894.
Zhu H, Li H, Feng B, Zhang L, Zheng Z, Zhang Y, Wang D, **ong Z, Kang J, ** J, et al. Association between sarcopenia and cognitive impairment in community-dwelling population. Chin Med J-Peking. 2021;134(6):725–7.
Ishii S, Tanaka T, Shibasaki K, Ouchi Y, Kikutani T, Higashiguchi T, Obuchi SP, Ishikawa-Takata K, Hirano H, Kawai H, et al. Development of a simple screening test for sarcopenia in older adults. Geriatr Gerontol Int. 2014;14(Suppl 1):93–101.
Malmstrom TK, Morley JE. SARC-F: a simple questionnaire to rapidly diagnose sarcopenia. J Am Med Dir Assoc. 2013;14(8):531–2.
Makizako H, Nakai Y, Tomioka K, Taniguchi Y. Prevalence of sarcopenia defined using the Asia Working Group for Sarcopenia criteria in Japanese community-dwelling older adults: a systematic review and meta-analysis. Phys Ther Res. 2019;22(2):53–7.
Diz JB, Leopoldino AA, Moreira BS, Henschke N, Dias RC, Pereira LS, Oliveira VC. Prevalence of sarcopenia in older Brazilians: a systematic review and meta-analysis. Geriatr Gerontol Int. 2017;17(1):5–16.
Shafiee G, Keshtkar A, Soltani A, Ahadi Z, Larijani B, Heshmat R. Prevalence of sarcopenia in the world: a systematic review and meta- analysis of general population studies. J Diabetes Metab Disord. 2017;16:21.
Baumgartner RN, Koehler KM, Gallagher D, Romero L, Heymsfield SB, Ross RR, Garry PJ, Lindeman RD. Epidemiology of sarcopenia among the elderly in New Mexico. Am J Epidemiol. 1998;147(8):755–63.
Trevisan C, Vetrano DL, Calvani R, Picca A, Welmer AK. Twelve-year sarcopenia trajectories in older adults: results from a population-based study. J Cachexia Sarcopenia Muscle. 2021;13(1):254–63.
Choo YJ, Chang MC. Prevalence of sarcopenia among the elderly in Korea: a meta-analysis. J Prev Med Public Health. 2021;54(2):96.
Shimokata H, Ando F, Yuki A, Otsuka R. Age-related changes in skeletal muscle mass among community-dwelling Japanese: a 12-year longitudinal study. Geriatr Gerontol Int. 2014;14(Suppl 1):85–92.
Li M, Song G, Ren H, Wei X, Qu Q. The application of Ishii’s scores in the screening for sarcopenia in community elderly. Chin Nurs Manag. 2018;18(08):1034–8.
Shi H, Wang J, Cao J, Wang Q, Liu C. Investigation on the difference of intolerance to food between southern and northern middle-aged Chinese and its association with eating habits. Chin J Appl Physiol. 2013;29(03):283–6.
Acknowledgements
Thanks are due to KC, LTD for assistance with the data collection and analysis and to XLZ, QH, SC and YP for valuable discussion and modification.
Funding
The design of the study and collection, analysis were supported by Ministry of Education of Humanities and Social Science Project [grant number 19YJCZH255], interpretation of data and writing of manuscript were supported by Fundamental Research Funds of Shandong University [grant number 2020HW034].
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XYR, KC and LTD searched and collected the data. XYR performed the data analysis. XLZ, QH, SC and YP helped XYR modify the revised manuscript. All authors read and approved the final manuscript.
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Supplementary Information
Additional file 1: Table S1.
Characteristics of the included studies.
Additional file 2: Figure S1.
Subgroup analysis of the prevalence of Sarcopenia by study year.
Additional file 3: Figure S2.
The prevalence of sarcopenia in males by age group.
Additional file 4: Figure S3.
The prevalence of sarcopenia in females by age group.
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Ren, X., Zhang, X., He, Q. et al. Prevalence of sarcopenia in Chinese community-dwelling elderly: a systematic review. BMC Public Health 22, 1702 (2022). https://doi.org/10.1186/s12889-022-13909-z
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DOI: https://doi.org/10.1186/s12889-022-13909-z