ArticleMedicine2026
Prevalence and network analysis of depressive, anxiety and cognitive symptoms among oldest-old population in China: A cross-sectional study.
Article in Medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The oldest-old people are prone to such psychological and mental risks as depression, anxiety, and cognitive dysfunction. Yet which specific symptom poses the biggest threat remains elusive, especially when the characteristics of a certain sample are considered. Using network analysis, the current study examined a pool of symptoms in the Chinese Longitudinal Healthy Longevity Survey and established a network model. Depression was more prevalent (67.4%) among the oldest-old Chinese than anxiety (11.2%). Depressive, anxiety, and cognitive symptoms exhibited very weak interrelations, and "feeling depressed" was the most prominent symptom in the whole network model. Based on such findings, interventions should be targeted at depressive symptoms to improve mental health for this population.
Indexed as
Identifiers
What Socratic holds
Registered trials
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 Socratic graph.