Evidence map›Paper›PMID 42116110›Full record

ArticleBMC psychology2026

Validity of the Inventory of Depressive Symptomatology Self-Report (IDS-SR) in Older Adults With Subjective Cognitive Decline (SCD) and Mild Cognitive Impairment (MCI).

Jingru Wang, Meirong Chen, Yanping Jin, Xiangqing Xie, Yun Yang, Lin Huang, Liang Cui, Huizhi Ma, Jun Ma, Qihao Guo and 1 more

Abstract readValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Jingru Wang *Department of Gerontology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Meirong Chen *Jiangwan Hospital of Hongkou District, Shanghai, China.
Yanping Jin *Department of Gerontology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China. jinyanping2018@163.com.
Xiangqing XieDepartment of Gerontology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yun YangDepartment of Gerontology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Lin HuangDepartment of Gerontology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Liang CuiDepartment of Gerontology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Huizhi MaJiangwan Hospital of Hongkou District, Shanghai, China.
Jun MaDepartment of Nursing, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Qihao GuoDepartment of Gerontology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China. qhguo@sjtu.edu.cn.
Yingzi HeDepartment of Gerontology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China. 7250022533@shsmu.edu.cn.

Funding

National Natural Science Foundation of China 82171198Shanghai Municipal Science and Technology Major Project 2018SHZDZX01
6 · The paper itself

Abstract

backgroundThis study aims to validate the suitability of the Inventory of Depressive Symptomatology Self-Report (IDS-SR) for evaluating mood disorders in older adults with subjective cognitive decline (SCD) and mild cognitive impairment (MCI).

methodsA total of 1670 participants aged ≥ 50 years were included (531 males; mean age 65.79 ± 7.39 years). Construct validity of the IDS-SR was evaluated using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). Criterion validity was examined using Pearson correlation analyses between IDS-SR scores and scores on the Hamilton Depression Scale (HAMD) and the Hamilton Anxiety Scale (HAMA). Receiver operating characteristic (ROC) curve analysis was conducted to determine the ability of the IDS-SR and its subscales to distinguish mood disorders in SCD and MCI. Cronbach's α and the intraclass correlation coefficient (ICC) were employed to assess the reliability of the scale.

resultsThe EFA demonstrated that the major factors explained 47.722% of the total variance. The CFA confirmed a three-factor model of the IDS-SR and indicated good construct validity. The fit indices were as follows: chi-square/degree of freedom (χ

conclusionsThe IDS-SR scale is a reliable and valid screening tool for detecting mood disorders in older adults with SCD and MCI. This study provides the first validation of the scale in this population.

Indexed as

Cognitive DysfunctionDepressionPsychiatric Status Rating ScalesSelf ReportAgedFactor Analysis, StatisticalFemaleHumansMaleMiddle AgedPsychometricsReproducibility of ResultsIDS-SRMild cognitive impairmentReliabilitySubjective cognitive declineValidity

Identifiers

PMID42116110
PMCPMC13640320

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