ArticleAging clinical and experimental research2022
Associations of self-reported vision impairment with depression symptoms among middle-aged and older Chinese.
Article in Aging clinical and experimental research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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
4 citing papers in PubMed, 5 citations in OpenAlex.
- Harmonization of self-reported and performance-based measures of vision using inverse probability weighting: an example using vision and depression in NHATS, CLSA, and LASI.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026Article
- Prediction model for depression risk in middle-aged and elderly patients with metabolic syndrome: a nomogram and interpretable machine learning approach based on CHARLS.BMC psychiatry · 2025Article
- Association of Visual Impairment With Neuropsychiatric Symptoms of Dementia.Journal of neuro-ophthalmology : the official journal of the North American Neuro-Ophthalmology Society · 2025Article
- Diabetes Distress Among Patients Undergoing Surgery for Diabetic Retinopathy and Associated Factors: A Cross-Sectional Survey.Psychology research and behavior management · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundVision impairment (VI) and depression are highly prevalent among adults. However, few nationally representative studies from China on the self-reported VI and its association with depression symptoms.
aimsThis study re-estimated the relationship between self-reported VI and depression symptoms.
methodsIn this analysis, 62,525 respondents from the China Health and Retirement Longitudinal Study 2011-2018 were included. Based on self-reports, respondents with VI were allocated to distance VI (DVI), near VI (NVI), both distance and near VI (DNVI), or a blindness group. Multivariable pooled logistic regression models were used to evaluate the groups' odds ratios (ORs) for depression symptoms and self-reported VI.
resultsOverall, 35.9% of the respondents were self-reported VI. DVI (OR: 1.51, 95% confidence interval [95% CI]: 1.28-1.79) and DNVI (OR: 1.51, 95% CI: 1.21-1.88) showed the highest ORs for depression symptoms, followed by NVI (OR: 1.31, 95% CI: 1.11-1.54). Depression symptoms were associated with a significantly increased risk of DVI (OR: 1.49, 95% CI: 1.26-1.76), DNVI (OR: 1.49, 95% CI: 1.20-1.86), and NVI (OR: 1.29, 95% CI: 1.10-1.52), respectively. However, these associations between self-reported blindness and depression symptoms were not significant. All models provided similar results by excluding respondents aged 45-59 years.
conclusionSelf-reported DVI, NVI, and DNVI are associated with depression symptoms. A strong reverse association was found between depression and self-reported DVI, NVI, and DNVI, but not for blindness. Our findings emphasize the urgent need for depression screening for self-reported VI among Chinese adults.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.