Literature DB >> 28869471

Prevalence, Risk Factors, and Complaints Screening Tool Exploration of Subjective Cognitive Decline in a Large Cohort of the Chinese Population.

Lixiao Hao1, Xiaoni Wang2, Ling Zhang3, Yue Xing4,5, Qihao Guo6, Xiaochen Hu7, Bin Mu2, Yili Chen8, Guanqun Chen2, Jing Cao9, Xiaodong Zhi10, Jiaojiao Liu11, Xuanyu Li2, Liu Yang2, Jiachen Li2, Wenying Du2, Yu Sun2, Ting Wang1, Zhen Liu12, Zheng Liu3, Xuexue Zhao1, Hongyan Li13, Yang Yu14, Xue Wang15, Jianguo Jia16, Ying Han2,17,18,19,20.   

Abstract

BACKGROUND: Substantial studies have reported the prevalence and the affecting factors of subjective cognitive decline (SCD). The complaints screening scale has also been used for probing. However, little is known in China.
OBJECTIVE: To investigate the prevalence and risk factors of SCD, and explore an SCD complaints screening scale in China.
METHODS: Stratified cluster random sampling was conducted. 2,689 residents aged 60-80 years completed questionnaire 1. 814 residents were included for clinical and neuropsychological evaluations. Two standards were used to make the diagnosis of mild cognitive impairment (MCI) and SCD, and a preliminary screening rate comparison was carried out. Finally, we assessed the risk factors of SCD and the correlation between the SCD-questionnaire 9 (SCD-Q9) and the Auditory Verbal Learning Test-Long Delay Free Recall (AVLT-LR).
RESULTS: 1) Standard 1 (ADNI2): the prevalence of SCD was 18.8% (95% CI = 14.7-22.9%) and zero conformed to six criteria (SCD plus). 2) Standard 2 (Jak/Bondi): the prevalence of SCD was 14.4% (95% CI = 10.7-18.1%). 3) Standard 1 had a relatively higher "false" positive rate, whereas Standard 2 had higher "false" negative rate. 4) Age, low education, fewer close friends, and daily drinking were independent risk factors for SCD progressing to MCI. 5) Total points of SCD-Q9 were negatively correlated to the value of AVLT-LR.
CONCLUSIONS: The prevalence of SCD is high in the ShunYi District in Beijing, China. Age, low education, less social support, and daily drinking are independent risk factors. The brief SCD-Q9 can be used as a reference.

Entities:  

Keywords:  Alzheimer’s disease; SCD-Q9; prevalence; risk factors; subjective cognitive decline

Mesh:

Year:  2017        PMID: 28869471     DOI: 10.3233/JAD-170347

Source DB:  PubMed          Journal:  J Alzheimers Dis        ISSN: 1387-2877            Impact factor:   4.472


  15 in total

1.  The Impact of Study Setting on Clinical Characteristics in Older Chinese Adults with Subjective Cognitive Decline: Baseline Investigation of Convenience and Population-Based Samples.

Authors:  Mingyan Zhao; Guanqun Chen; Taoran Li; Can Sheng; Yuxia Li; Ying Han
Journal:  Biomed Res Int       Date:  2021-06-04       Impact factor: 3.411

2.  Demographic characteristics and neuropsychological assessments of subjective cognitive decline (SCD) (plus).

Authors:  Lixiao Hao; Yu Sun; Yun Li; Jieyu Wang; Zichen Wang; Zhongying Zhang; Zhanyun Wei; Ge Gao; Jianguo Jia; Yue Xing; Ying Han
Journal:  Ann Clin Transl Neurol       Date:  2020-06       Impact factor: 4.511

3.  Brain and cognitive correlates of subjective cognitive decline-plus features in a population-based cohort.

Authors:  Gonzalo Sánchez-Benavides; Oriol Grau-Rivera; Marc Suárez-Calvet; Carolina Minguillon; Raffaele Cacciaglia; Nina Gramunt; Carles Falcon; Juan Domingo Gispert; José Luis Molinuevo
Journal:  Alzheimers Res Ther       Date:  2018-12-20       Impact factor: 6.982

4.  Physical activity for cognitive health: what advice can we give to older adults with subjective cognitive decline and mild cognitive impairment?

Authors:  Nicola T Lautenschlager; Kay L Cox; Kathryn A Ellis
Journal:  Dialogues Clin Neurosci       Date:  2019-03       Impact factor: 5.986

5.  Sino Longitudinal Study on Cognitive Decline (SILCODE): protocol for a Chinese longitudinal observational study to develop risk prediction models of conversion to mild cognitive impairment in individuals with subjective cognitive decline.

Authors:  Xuanyu Li; Xiaoni Wang; Li Su; Xiaochen Hu; Ying Han
Journal:  BMJ Open       Date:  2019-07-26       Impact factor: 2.692

6.  Risk Factors and Neuropsychological Assessments of Subjective Cognitive Decline (plus) in Chinese Memory Clinic.

Authors:  Lixiao Hao; Yue Xing; Xuanyu Li; Bin Mu; Weina Zhao; Gubing Wang; Ting Wang; Jianguo Jia; Ying Han
Journal:  Front Neurosci       Date:  2019-08-14       Impact factor: 4.677

7.  Metabolic syndrome, ApoE genotype, and cognitive dysfunction in an elderly population: A single-center, case-control study.

Authors:  Jie-Yu Wang; Li Zhang; Jia Liu; Wei Yang; Li-Na Ma
Journal:  World J Clin Cases       Date:  2021-02-16       Impact factor: 1.337

8.  Altered Insular Subregional Connectivity Associated With Cognitions for Distinguishing the Spectrum of Pre-clinical Alzheimer's Disease.

Authors:  Siyu Wang; Haiting Sun; Guanjie Hu; Chen Xue; Wenzhang Qi; Jiang Rao; Fuquan Zhang; Xiangrong Zhang; Jiu Chen
Journal:  Front Aging Neurosci       Date:  2021-02-10       Impact factor: 5.750

9.  Estimating prevalence of subjective cognitive decline in and across international cohort studies of aging: a COSMIC study.

Authors:  Susanne Röhr; Alexander Pabst; Steffi G Riedel-Heller; Frank Jessen; Yuda Turana; Yvonne S Handajani; Carol Brayne; Fiona E Matthews; Blossom C M Stephan; Richard B Lipton; Mindy J Katz; Cuiling Wang; Maëlenn Guerchet; Pierre-Marie Preux; Pascal Mbelesso; Karen Ritchie; Marie-Laure Ancelin; Isabelle Carrière; Antonio Guaita; Annalisa Davin; Roberta Vaccaro; Ki Woong Kim; Ji Won Han; Seung Wan Suh; Suzana Shahar; Normah C Din; Divya Vanoh; Martin van Boxtel; Sebastian Köhler; Mary Ganguli; Erin P Jacobsen; Beth E Snitz; Kaarin J Anstey; Nicolas Cherbuin; Shuzo Kumagai; Sanmei Chen; Kenji Narazaki; Tze Pin Ng; Qi Gao; Xinyi Gwee; Henry Brodaty; Nicole A Kochan; Julian Trollor; Antonio Lobo; Raúl López-Antón; Javier Santabárbara; John D Crawford; Darren M Lipnicki; Perminder S Sachdev
Journal:  Alzheimers Res Ther       Date:  2020-12-18       Impact factor: 6.982

10.  Prevalence, Incidence, Influence Factors, and Cognitive Characteristics of Amnestic Mild Cognitive Impairment Among Older Adult: A 1-Year Follow-Up Study in China.

Authors:  Wei Li; Lin Sun; Shifu Xiao
Journal:  Front Psychiatry       Date:  2020-02-28       Impact factor: 4.157

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