Evidence map›Paper›PMID 32095947›Full record

ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2020

Association of depressive symptoms with decline of cognitive function-Rugao longevity and ageing study.

Zhuoran Hou, Xiaofeng Wang, Yuchen Wang, Jiucun Wang, Judy Zhong

Abstract read
PubMed Publisher
In one paragraph

Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Zhuoran HouMinistry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China.
Xiaofeng WangMinistry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China.
Yuchen WangMinistry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China.
Jiucun WangHuman Phenome Institute, Fudan University, Shanghai, China. jcwang@fudan.edu.cn.
Judy ZhongDivision of Biostatistics, School of Medicine, New York University, New York City, USA. judy.zhong@nyulangone.org.ORCID http://orcid.org/0000-0001-9996-9863

Funding

WORD PROCESSORP30CA013330 · NCI · YESHIVA UNIVERSITY · PI THOMAS E ROHAN · 1985 to 2026
$111.2M
National Key R&D Program of China 2018YFC2000400National Science Foundation of China 31521003Shanghai Municipal Science and Technology Major Project 2017SHZDZX01
6 · The paper itself

Abstract

Cognitive decline is a central feature in the aging process. Previous studies have indicated an association between depressive symptoms and cognitive decline in Caucasian populations. However, few studies have examined the effect of changes in depression on the trajectory of cognitive decline. Here, we included 580 participants with normal cognitive ability and complete cognitive and depression data from the Rugao Longevity and Ageing Study (RuLAS). We explored the relationship between depressive symptoms and cognitive decline in these participants. We examined how the change in depressive symptoms affected the trajectory in the HDS-R (the Revised Hasegawa Dementia Scale) scores by comparing cognition function in both the depression deterioration group and the depression steady group by using a linear mixed model. The results indicated that those with deteriorating depression tended to have faster cognitive declines than those with steady depression, indicated by the significance of the interaction term of GDS (Geriatric Depression Scale) groups and time (unadjusted model, β = - 0.673, p < 0.001). The results remained significant after adding demographic covariates. Moreover, we found that those with the worst depressive symptoms at baseline had the worst cognition in subsequent years (GDS = 0 group vs. GDS ≥ group in the unadjusted model: β = - 1.522, p < 0.003), while the slope of change was not significantly different among groups (GDS = 0 group × time vs. GDS > =4 group × time in the unadjusted model: β = - 0.045, p = 0.857). Therefore, we found that depressive symptom deterioration was significantly associated with faster cognitive decline. Medical interventions for depression may decrease the number of older Chinese individuals who experience early-stage cognitive decline.

Indexed as

Cognitive DysfunctionDepressionAgedAgingCognitionHumansLongevityCognitive declineDepressive symptomsLinear mixed modelOlder people

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.