ArticleAtencion primaria2015
[Risk of depression in 75 years or older persons, comprehensive geriatric assessment and associated factors in primary care: cross sectional study].
Article in Atencion primaria, 2015. 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, 9 citations in OpenAlex.
- The relationship between Comprehensive Geriatric Assessment parameters and depression in elderly patients.Frontiers in aging neuroscience · 2022Article
- Subtypes of Depression: Latent Class Analysis in Spanish Old People with Depressive Symptoms.Life (Basel, Switzerland) · 2020Article
- Rapid Geriatric Assessment Using Mobile App in Primary Care: Prevalence of Geriatric Syndromes and Review of Its Feasibility.Frontiers in medicine · 2020Article
- Effects of Anxiety, Stress and Perceived Social Support on Depression and Loneliness Among Older People During the COVID-19 Pandemic: A Cross-Sectional Path Analysis.Inquiry : a journal of medical care organization, provision and financingArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo determine the prevalence of the risk of depression, major defining characteristics and factors associated with.
designSub-study of comprehensive geriatric assessment cross-study.
settingPrimary health center.
participantsFor an estimated 14% prevalence we need a sample of 288 people. From 3854, 290 people ≥75 years were selected. Excluding terminals, chemotherapy, recent surgery, temporary residence, mental retardation, serious psychiatric illness, or under home care. MEASUREMENT: OUTCOME: risk of depression (≥2 points on the Goldberg depression subscale. DEPENDENT VARIABLES: Sociodemographic and five study areas of the Comprehensive Geriatric Assessment: medical -comorbidity, polypharmacy, falls and hospital admissions-, functional -Up&Go Test, Lawton-Brody and Barthel Index-, nutritional -Mini Nutritional Assessment (MNA)-, mental-affective -Pfeiffer Questionnaire and Goldberg scale-, and social. Descriptive analysis and logistic regression.
resultsWe obtained 290 interviews, with 102 (35.1%) male and mean age of 79.4 years (SD:3.2). The prevalence of the risk of depression was 37.2%, 26.5% in men and 43.1% in women (p=0.005). Association of risk of depression is observed with arterial hypertension (OR:3.87 95% CI:1.61-9.34), cancer (OR:4.12 95%, CI:1.58-10.76), lack of leisure activity (OR:2.75 95%, CI:1.33-5.67), increase of anxiety scale (OR:1.87 95%, CI:1.57-2.22) and decrease in MNA (OR:0.78 95%, CI:0.68-0.9).
conclusionsThe prevalence of risk of depression is higher than expected, although overestimated until being confirmed with a diagnostic test. We appreciate new associations of comorbidity variables with risk of depression and corroborate other known. The studied factors that were associated with the risk of depression should be included in future studies of geriatric depression.
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.