A rapid screening test for depression in junior high school children

被引:11
|
作者
Chung, Ming-Shun [1 ,2 ,3 ]
Chiu, Hsien-Jane
Sun, Wen-Jung [4 ]
Lin, Chieh-Nan [1 ,3 ,5 ]
Kuo, Chien-Cheng [1 ,2 ,3 ]
Huang, Wei-Che [6 ]
Chen, Ying-Sheue [7 ]
Cheng, Hui-Ping [8 ]
Chou, Pesus [1 ,3 ]
机构
[1] Natl Yang Ming Univ, Community Med Res Ctr, Taipei 112, Taiwan
[2] Jianan Mental Hosp, Dept Community Psychiat, Tainan, Taiwan
[3] Natl Yang Ming Univ, Inst Publ Hlth, Taipei 112, Taiwan
[4] Hunei Township Publ Hlth Ctr, Kaohsiung, Taiwan
[5] Jianan Mental Hosp, Dept Geriatr Psychiat, Tainan, Taiwan
[6] Sin Lau Hosp, Dept Psychiat, Tainan, Taiwan
[7] Taipei Vet Gen Hosp, Dept Psychiat, Taipei, Taiwan
[8] Jianan Mental Hosp, Dept Nursing, Tainan, Taiwan
关键词
Depression; School-based; Screening tool; Validity; ADOLESCENT DEPRESSION; SOCIOECONOMIC-STATUS; SCALE; CONSEQUENCES; RELIABILITY; VALIDITY; IMPACT;
D O I
10.1016/j.jcma.2011.06.007
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: Depression generates a remarkable disease burden. Early onset of depression in young people is associated with a poor prognosis. This has precipitated developing a screening instrument for early detection of depression in Taiwan adolescents. Methods: We recruited 662 junior high school students who completed the Screening Test for Depression (STD) designed using diagnostic and statistical manual-IV diagnostic criteria of major depressive disorder for assessing depressive symptoms. The students were then interviewed by psychiatrists who used the Mini International Neuropsychiatric Interview-Kid to verify the validity of the soon-to-be-developed Rapid STD (RSTD). Multiple logistic regression analysis of the STD results was used to extract items for the RSTD. Results: We extracted four items for the RSTD: "insomnia or hypersomnia", "recurrent thoughts of death or recurrent suicidal ideation", "feelings of worthlessness or excessive or inappropriate guilt", and "psychomotor agitation or retardation". Any two of the first three yielded the best-balanced algorithm for major depressive disorder, which had a sensitivity of 75.0%, specificity of 92.9%, positive predictive value of 28.6%, and negative predictive value of 99.0%. Any two of the four yielded the best-balanced algorithm for depressive disorders, which had a sensitivity of 71.4%, specificity of 92.0%, the positive predictive value of 33.3%, and the negative predictive value of 98.3%. Conclusion: The RSTD, a 4-item tool for junior high school children, can be easily used to assess fluctuating risks of major depressive disorder and depressive disorders at any time. Copyright (C) 2011 Elsevier Taiwan LLC and the Chinese Medical Association. All rights reserved.
引用
收藏
页码:363 / 368
页数:6
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