Development and validation of the Chinese Geriatric Depression Risk calculator (CGD-risk): A screening tool to identify elderly Chinese with depression
文献类型：期刊论文
| 作者 | Sakal, Collin5; Li, Juan4 ; Xiang, Yu -Tao2,3; Li, Xinyue1,5
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| 刊名 | JOURNAL OF AFFECTIVE DISORDERS
 |
| 出版日期 | 2022-12-15 |
| 卷号 | 319页码:428-436 |
| ISSN号 | 0165-0327 |
| 关键词 | Depression Machine learning Prediction China Geriatrics |
| DOI | 10.1016/j.jad.2022.09.034 |
| 通讯作者 | Li, Xinyue(xinyueli@cityu.edu.hk) |
| 英文摘要 | Background: The prevalence of depression among China's elderly is high, but stigma surrounding mental illness and a shortage of psychiatrists limit widespread screening and diagnosis of geriatric depression. We sought to develop a screening tool using easy-to-obtain and minimally sensitive predictors to identify elderly Chinese with depressive symptoms (depression hereafter) for referral to mental health services and determine the most important factors for effective screening.Methods: Using nationally representative survey data, we developed and externally validated the Chinese Geri-atric Depression Risk calculator (CGD-Risk). CGD-Risk, a gradient boosting machine learning model, was eval-uated based on discrimination (Concordance (C) statistic), calibration, and through a decision curve analysis. We conducted a sensitivity analysis on a cohort of middle-aged Chinese, a sub-group analysis using three data sets, and created predictor importance and partial dependence plots to enhance interpretability.Results: A total of 5681 elderly Chinese were included in the development data and 12,373 in the external validation data. CGD-Risk showed good discrimination during internal validation (C: 0.81, 95 % CI 0.79 to 0.84) and external validation (C: 0.77, 95 % CI: 0.76, 0.78). Compared to an alternative screening strategy CGD-Risk would correctly identify 17.8 more elderly with depression per 100 people screened. Limitations: We were only able to externally validate a partial version of CGD-Risk due to differences between the internal and external validation data.Conclusions: CGD-Risk is a clinically viable, minimally sensitive screening tool that could identify elderly Chinese at high risk of depression while circumventing issues of response bias from stigma surrounding emotional openness. |
| 收录类别 | SCI |
| WOS关键词 | OLDER-ADULTS ; HEALTH ; PREVALENCE ; SYMPTOMS |
| 资助项目 | City University of Hong Kong, Hong Kong SAR, China ; [9610473] |
| WOS研究方向 | Neurosciences & Neurology ; Psychiatry |
| 语种 | 英语 |
| 出版者 | ELSEVIER |
| WOS记录号 | WOS:000870046800005 |
| 资助机构 | City University of Hong Kong, Hong Kong SAR, China |
| 源URL | [http://ir.psych.ac.cn/handle/311026/43817]  |
| 专题 | 心理研究所_中国科学院心理健康重点实验室 |
| 通讯作者 | Li, Xinyue |
| 作者单位 | 1.City Univ Hong Kong, Sch Data Sci, 83 Tat Chee Ave,Lau-16 224, Hong Kong, Peoples R China 2.Univ Macau, Inst Translat Med, Fac Hlth Sci, Macau, Peoples R China 3.Univ Macau, Dept Publ Hlth & Med Adm, Unit Psychiat, Macau, Peoples R China 4.Chinese Acad Sci, Inst Psychol, Ctr Aging Psychol, Key Lab Mental Hlth, Beijing, Peoples R China 5.City Univ Hong Kong, Sch Data Sci, Hong Kong, Peoples R China |
| 推荐引用方式 GB/T 7714 | Sakal, Collin,Li, Juan,Xiang, Yu -Tao,et al. Development and validation of the Chinese Geriatric Depression Risk calculator (CGD-risk): A screening tool to identify elderly Chinese with depression[J]. JOURNAL OF AFFECTIVE DISORDERS,2022,319:428-436. |
| APA | Sakal, Collin,Li, Juan,Xiang, Yu -Tao,&Li, Xinyue.(2022).Development and validation of the Chinese Geriatric Depression Risk calculator (CGD-risk): A screening tool to identify elderly Chinese with depression.JOURNAL OF AFFECTIVE DISORDERS,319,428-436. |
| MLA | Sakal, Collin,et al."Development and validation of the Chinese Geriatric Depression Risk calculator (CGD-risk): A screening tool to identify elderly Chinese with depression".JOURNAL OF AFFECTIVE DISORDERS 319(2022):428-436. |
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来源：心理研究所
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