For: | Zhou LN, Ma XC, Wang W. Incidence and risk factors of depression in patients with metabolic syndrome. World J Psychiatry 2024; 14(2): 245-254 [PMID: 38464768 DOI: 10.5498/wjp.v14.i2.245] |
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URL: | https://www.wjgnet.com/2220-3206/full/v14/i2/245.htm |
Number | Citing Articles |
1 |
Ana Carolina Brunatto Falchetti Campos, Iara Gonçalves Teixeira, Nayara de Souza Moraes, Isabela de Jesus Cadorin, Patrícia Mariotto Morelli, Adrielly Vargas Lidio, Eduarda Behenck Medeiros, Michelle Lima Garcez, Gabriela Serafim Keller, Ewa Kucharska, Maria Inês da Rosa, Luciane Bisognin Ceretta, João Quevedo, Josiane Budni. Prevalence of cognitive impairment and associated factors in older people. Journal of Affective Disorders 2024; 355: 283 doi: 10.1016/j.jad.2024.03.072
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2 |
Simeng Sun, Ting Zhang, Hao Yu, Ting Xia, Yunan Yao, Mengting Sun, Hongmei Liang, Qiaoyu Huang, Weiwei Wang, Huafeng Yang, Xin Hong. Time trends in Alzheimer’s disease mortality attributable to metabolic risks and smoking in China from 1990 to 2019: an age-period-cohort analysis. Frontiers in Aging Neuroscience 2024; 16 doi: 10.3389/fnagi.2024.1425577
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3 |
Li-Na Zhou, Yan Mao, Bai-Jia Li, Xian-Cang Ma, Wei Wang. Novel biomarkers of the Framingham risk score in patients with depression: A cross-sectional study. World Journal of Psychiatry 2025; 15(8): 106303 doi: 10.5498/wjp.v15.i8.106303
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4 |
Xiao Wang, Shao-Ming Song, Hong-Mei Yue. Burdened breaths: The influence of depression on obstructive sleep apnea. World Journal of Psychiatry 2024; 14(9): 1411-1414 doi: 10.5498/wjp.v14.i9.1411
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5 |
Bo Xin, Binjin Guo, Qing Li, Mengchi Li, Feng Tong, Yanni Wu, Wenhui Jiang, Ying Zhang. Machine learning-based risk prediction models for depressive symptoms in Chinese community-dwelling individuals with multimorbidity: A longitudinal study. Journal of Affective Disorders 2025; : 120075 doi: 10.1016/j.jad.2025.120075
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6 |
L.M. de Groot, J.W.R. Twisk, A.A.L. Kok, M.W. Heymans. Incorporating longitudinal variability in prediction models: A comparison of machine learning and logistic regression in a cohort study with long follow-up. Annals of Epidemiology 2025; 110: 51 doi: 10.1016/j.annepidem.2025.07.060
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