ArticleMedical science monitor : international medical journal of experimental and clinical research2022
Prevalence Trends and Influencing Factors of Post-Stroke Depression: A Study Based on the National Health and Nutrition Examination Survey.
Article in Medical science monitor : international medical journal of experimental and clinical research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.
- Role of social support in poststroke depression: A meta-analysis.Frontiers in psychiatry · 2022Pooled it
- Effects of Immersive Virtual Therapy as a Method Supporting Recovery of Depressive Symptoms in Post-Stroke Rehabilitation: Randomized Controlled Trial.Clinical interventions in aging · 2022Trial
- Association Between Social Activities and Depression in Middle-Aged and Older Stroke Patients.International journal of behavioral medicine · 2026Article
- Gender differences in post-stroke cognitive outcomes in rehabilitation: insights from MoCA domain index scores.Frontiers in neurology · 2026Observational
- Anxiety and depression one year after the first stroke among Lebanese survivors: proportions, changes, and predictors.BMC psychiatry · 2025Article
- Article
- A cross-sectional study on post-stroke depression and the quality of life.BMC psychology · 2024Article
- Association of cognitive impairment with the interaction between chronic kidney disease and depression: findings from NHANES 2011-2014.BMC psychiatry · 2024Article
- Analysis of factors associated with depressive symptoms in stroke patients based on a national cross-sectional study.Scientific reports · 2024Article
- Association between socioeconomic status and post-stroke depression in middle-aged and older adults: results from the China health and retirement longitudinal study.BMC public health · 2024Article
- Is occupational noise associated with arthritis? Cross-sectional evidence from US population.BMC public health · 2024Article
- Factors associated with the effectiveness of immersive virtual therapy in alleviating depressive symptoms during sub-acute post-stroke rehabilitation: a gender comparison.BMC sports science, medicine & rehabilitation · 2023Article
- Explainable Risk Prediction of Post-Stroke Adverse Mental Outcomes Using Machine Learning Techniques in a Population of 1780 Patients.Sensors (Basel, Switzerland) · 2023Article
- Article
- Sex Differences in the Evaluation and Treatment of Stroke.Handbook of experimental pharmacology · 2023Review
- Is the female sex associated with an increased risk for long-term cognitive decline after the first-ever lacunar stroke? Prospective study on small vessel disease cohort.Frontiers in neurology · 2022Article
- Family Functioning is Associated with Post-Stroke Depression in First-Ever Stroke Survivors: A Longitudinal Study.Neuropsychiatric disease and treatment · 2022Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND We aimed to investigate the prevalence trends and explore the influencing factors of post-stroke depression based on the National Health and Nutrition Examination Survey (NHANES) database, including data from 2005 to 2018. MATERIAL AND METHODS A total of 1298 patients with stroke were included in this study. Multivariate logistic regression analysis was performed to select influencing factors. Subgroup analysis was conducted based on different populations. The odds ratio (OR) and 95% confidence interval (CI) were calculated. RESULTS The prevalence of post-stroke depression was 16.35% in 2005 and 23.29% in 2018, and presented a linear upward trend by year (F=195.00, P<0.001) from 2005 to 2018. Age (≥60 years vs <60 years; OR=0.40; 95% CI, 0.30-0.54), sex (female vs male; OR=1.37; 95% CI, 1.02-1.84), education level (junior middle school or below vs college or above; OR=0.64; 95% CI, 0.46-0.90), annual household income (≥$20,000 vs <$20,000; OR=0.60; 95% CI, 0.45-0.80), and sleep disorders (sleep disorders vs no sleep disorders; OR=4.07; 95% CI, 3.01-5.49) were associated with the risk of post-stroke depression. The age-based subgroup analysis showed that sex and education level were not influencing factors of post-stroke depression in patients ≥60 years, and education level was not related to the risk of post-stroke depression among men in the sex-based analysis. CONCLUSIONS Stroke patients with sleep disorders, age <60 years, and female sex may have an increased risk of post-stroke depression.
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