Herrman H, Patel V, Kieling C, Berk M, Buchweitz C, Cuijpers P et al (2022) Time for united action on depression: a Lancet-World psychiatric association commission. Lancet (London England) 399(10328):957–1022. https://doi.org/10.1016/s0140-6736(21)02141-3
Marwaha S, Palmer E, Suppes T, Cons E, Young AH, Upthegrove R (2023) Novel and emerging treatments for major depression. Lancet (London England) 401(10371):141–153. https://doi.org/10.1016/s0140-6736(22)02080-3
Article CAS PubMed Google Scholar
Patel V, Chisholm D, Parikh R, Charlson FJ, Degenhardt L, Dua T et al (2016) Addressing the burden of mental, neurological, and substance use disorders: key messages from disease control priorities, 3rd edition. Lancet (London England) 387(10028):1672–1685. https://doi.org/10.1016/s0140-6736(15)00390-6
Collaborators GMD, Global Burden of Disease Study 2019 (2022) Global, regional, and National burden of 12 mental disorders in 204 countries and territories, 1990–2019: a systematic analysis for the. Lancet Psychiatry 9(2):137–150. https://doi.org/10.1016/s2215-0366(21)00395-3
Lu J, Xu X, Huang Y, Li T, Ma C, Xu G et al (2021) Prevalence of depressive disorders and treatment in china: a cross-sectional epidemiological study. Lancet Psychiatry 8(11):981–990. https://doi.org/10.1016/s2215-0366(21)00251-0
McCarron RM, Shapiro B, Rawles J, Luo J (2021) Depression. Ann Intern Med 174(5):ITC65–ITC80. https://doi.org/10.7326/aitc202105180
Li Z, Tong X, Ma Y, Bao T, Yue J (2022) Prevalence of depression in patients with sarcopenia and correlation between the two diseases: systematic review and meta-analysis. J Cachexia Sarcopenia Muscle 13(1):128–144. https://doi.org/10.1002/jcsm.12908
Article CAS PubMed PubMed Central Google Scholar
Milaneschi Y, Simmons WK, van Rossum EFC, Penninx BW (2019) Depression and obesity: evidence of shared biological mechanisms. Mol Psychiatry 24(1):18–33. https://doi.org/10.1038/s41380-018-0017-5
Article CAS PubMed Google Scholar
Cruz-Jentoft AJ, Sayer AA (2019) Sarcopenia. Lancet (London England) 393(10191):2636–2646. https://doi.org/10.1016/s0140-6736(19)31138-9
Kalinkovich A, Livshits G (2017) Sarcopenic obesity or obese sarcopenia: A cross talk between age-associated adipose tissue and skeletal muscle inflammation as a main mechanism of the pathogenesis. Ageing Res Rev 35:200–221. https://doi.org/10.1016/j.arr.2016.09.008
Article CAS PubMed Google Scholar
Wei S, Nguyen TT, Zhang Y, Ryu D, Gariani K (2023) Sarcopenic obesity: epidemiology, pathophysiology, cardiovascular disease, mortality, and management. Front Endocrinol 14:1185221. https://doi.org/10.3389/fendo.2023.1185221
Kim TN, Choi KM (2015) The implications of sarcopenia and sarcopenic obesity on cardiometabolic disease. J Cell Biochem 116(7):1171–1178. https://doi.org/10.1002/jcb.25077
Article CAS PubMed Google Scholar
Luo Y, Wang Y, Tang S, Xu L, Zhao X, Han M et al (2024) Prevalence of sarcopenic obesity in the older non-hospitalized population: a systematic review and meta-analysis. BMC Geriatr 24(1):357. https://doi.org/10.1186/s12877-024-04952-z
Article PubMed PubMed Central Google Scholar
Molino S, Dossena M, Buonocore D, Verri M (2016) Sarcopenic obesity: an appraisal of the current status of knowledge and management in elderly people. J Nutr Health Aging 20(7):780–788. https://doi.org/10.1007/s12603-015-0631-8
Article CAS PubMed Google Scholar
Bouchard DR, Choquette S, Dionne IJ, Brochu M (2011) Is fat mass distribution related to impaired mobility in older men and women? Nutrition as a determinant of successful aging: the Quebec longitudinal study. Exp Aging Res 37(3):346–357. https://doi.org/10.1080/0361073x.2011.568848
Cho Y, Shin SY, Shin MJ (2015) Sarcopenic obesity is associated with lower indicators of psychological health and quality of life in Koreans. Nutrition research (New York, N.Y.) 35(5):384–92. https://doi.org/10.1016/j.nutres.2015.04.002
Article CAS PubMed Google Scholar
Ishii S, Chang C, Tanaka T, Kuroda A, Tsuji T, Akishita M et al (2016) The association between sarcopenic obesity and depressive symptoms in older Japanese adults. PLoS One 11(9):e0162898. https://doi.org/10.1371/journal.pone.0162898
Article CAS PubMed PubMed Central Google Scholar
Kokkeler KJE, van den Berg KS, Comijs HC, Oude Voshaar RC, Marijnissen RM (2019) Sarcopenic obesity predicts nonremission of late-life depression. Int J Geriatr Psychiatry 34(8):1226–1234. https://doi.org/10.1002/gps.5121
Scott AJ, Correa AB, Bisby MA, Dear BF (2023) Depression and anxiety trajectories in chronic disease: a systematic review and meta-analysis. Psychother Psychosom 92(4):227–242. https://doi.org/10.1159/000533263
Musliner KL, Munk-Olsen T, Eaton WW, Zandi PP (2016) Heterogeneity in long-term trajectories of depressive symptoms: patterns, predictors and outcomes. J Affect Disord 192:199–211. https://doi.org/10.1016/j.jad.2015.12.030
Zhao Y, Hu Y, Smith JP, Strauss J, Yang G (2014) Cohort profile: the China health and retirement longitudinal study (CHARLS). Int J Epidemiol 43(1):61–68. https://doi.org/10.1093/ije/dys203
Chen H, Mui AC (2014) Factorial validity of the center for epidemiologic studies depression scale short form in older population in China. Int Psychogeriatr 26(1):49–57. https://doi.org/10.1017/s1041610213001701
Article CAS PubMed Google Scholar
Du X, Liao J, Ye Q, Wu H (2023) Multidimensional internet use, social participation, and depression among middle-aged and elderly Chinese individuals: nationwide cross-sectional study. J Med Internet Res 25:e44514. https://doi.org/10.2196/44514
Article PubMed PubMed Central Google Scholar
Li C, Zhou Y, Ding L (2021) Effects of long-term household air pollution exposure from solid fuel use on depression: evidence from National longitudinal surveys from 2011 to 2018. Environ Pollution (Barking Essex: 1987) 283:117350. https://doi.org/10.1016/j.envpol.2021.117350
Chen LK, Woo J, Assantachai P, Auyeung TW, Chou MY, Iijima K et al (2020) Asian working group for sarcopenia: 2019 consensus update on sarcopenia diagnosis and treatment. J Am Med Dir Assoc 21(3):300–307e2. https://doi.org/10.1016/j.jamda.2019.12.012
Wen X, Wang M, Jiang CM, Zhang YM (2011) Anthropometric equation for estimation of appendicular skeletal muscle mass in Chinese adults. Asia Pac J Clin Nutr 20(4):551–556
Su S, Zhou Y, Wang K, Liu A, Lei L, Ma H et al (2024) Effects of household solid fuel use on sarcopenia in middle-aged and older adults: evidence from a nationwide cohort study. Front Public Health 12:1337979. https://doi.org/10.3389/fpubh.2024.1337979
Article PubMed PubMed Central Google Scholar
Zhang X, Wang Y, Huang F, Zhang B, Wang Z, Du S et al (2022) Multiple trajectories of any intensities of physical activity are better than sustained sedentary time on improving waist circumference and body mass index among Chinese adults: China Health and Nutrition Survey, 2004–2018. Nutrition research (New York, N.Y.); 107: 1–11. https://doi.org/10.1016/j.nutres.2022.08.004
Nagin DS, Odgers CL (2010) Group-based trajectory modeling in clinical research. Ann Rev Clin Psychol 6:109–138. https://doi.org/10.1146/annurev.clinpsy.121208.131413
Nagin DS, Jones BL, Passos VL, Tremblay RE (2018) Group-based multi-trajectory modeling. Stat Methods Med Res 27(7):2015–2023. https://doi.org/10.1177/0962280216673085
Kim B, Kim G, Lee Y, Taniguchi K, Isobe T, Oh S (2023) Triglyceride-glucose index as a potential indicator of sarcopenic obesity in older people. Nutrients. https://doi.org/10.3390/nu15030555
Comments (0)