Evidence map›Paper›PMID 29213847›Full record

ArticleDementia & neuropsychologia

Prevalence of depressive symptoms among elderly in the city of Tremembé, Brazil: preliminary findings of an epidemiological study.

Karolina G César, Leonel T Takada, Sonia M D Brucki, Ricardo Nitrini, Luiz Fernando C Nascimento, Maira O Oliveira, Camila M S Gomes, Milena C S Almeida, Fábio H Porto, Mirna L H Senaha and 15 more

Abstract read
In one paragraph

Article in Dementia & neuropsychologia. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

25 authors.

Karolina G CésarMD, PhD Students, Department of Neurology, University of São Paulo. Cognitive and Behavioral Neurology Unit, Department of Neurology, University of São Paulo.
Leonel T TakadaMD, PhD Students, Department of Neurology, University of São Paulo. Cognitive and Behavioral Neurology Unit, Department of Neurology, University of São Paulo.
Sonia M D BruckiMD, PhD. Cognitive and Behavioral Neurology Unit, Department of Neurology, University of São Paulo.
Ricardo NitriniMD, PhD, Full Professor. Professor of Neurology, University of São Paulo Medical School. Cognitive and Behavioral Neurology Unit, Department of Neurology, University of São Paulo.
Luiz Fernando C NascimentoMD, PhD. Professor at University of Taubaté.
Maira O OliveiraTremembé Epidemiologic Study (TES) Group, Department of Neurology, University of São Paulo.
Camila M S GomesTremembé Epidemiologic Study (TES) Group, Department of Neurology, University of São Paulo.
Milena C S AlmeidaTremembé Epidemiologic Study (TES) Group, Department of Neurology, University of São Paulo.
Fábio H PortoTremembé Epidemiologic Study (TES) Group, Department of Neurology, University of São Paulo.
Mirna L H SenahaTremembé Epidemiologic Study (TES) Group, Department of Neurology, University of São Paulo.
Valéria S BahiaTremembé Epidemiologic Study (TES) Group, Department of Neurology, University of São Paulo.
Mônica S YassudaTremembé Epidemiologic Study (TES) Group, Department of Neurology, University of São Paulo.
Thaís B L SilvaTremembé Epidemiologic Study (TES) Group, Department of Neurology, University of São Paulo.
Jéssica N IanofTremembé Epidemiologic Study (TES) Group, Department of Neurology, University of São Paulo.
Lívia SpíndolaTremembé Epidemiologic Study (TES) Group, Department of Neurology, University of São Paulo.
Magali T SchmidtTremembé Epidemiologic Study (TES) Group, Department of Neurology, University of São Paulo.
Mário S JorgeTremembé Epidemiologic Study (TES) Group, Department of Neurology, University of São Paulo.
Patrícia H F ValeTremembé Epidemiologic Study (TES) Group, Department of Neurology, University of São Paulo.
Mário A CecchiniTremembé Epidemiologic Study (TES) Group, Department of Neurology, University of São Paulo.
Luciana CassimiroTremembé Epidemiologic Study (TES) Group, Department of Neurology, University of São Paulo.
Roger T SoaresTremembé Epidemiologic Study (TES) Group, Department of Neurology, University of São Paulo.
Márcia Rúbia GonçalvesTremembé Epidemiologic Study (TES) Group, Department of Neurology, University of São Paulo.
Ana Caroline S MartinsTremembé Epidemiologic Study (TES) Group, Department of Neurology, University of São Paulo.
Elisângela RochaTremembé Epidemiologic Study (TES) Group, Department of Neurology, University of São Paulo.
Patrícia DaréTremembé Epidemiologic Study (TES) Group, Department of Neurology, University of São Paulo.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Depression is a heterogeneous mental disease classified as a set of disorders, which manifest with a certain duration, frequency and intensity. The prevalence of depression in the elderly ranges from 0.5 to 16%.

objectiveTo establish, in an epidemiological study, the prevalence of significant depressive symptoms in the population aged 60 years or older.

methodsResults of a cross-sectional epidemiological study, involving home visits, being carried out in the city of Tremembé, Brazil, were reported. The sample was randomly selected by drawing 20% of the population over 60 years from each of the city's census sectors. In this single-phase study, the assessment included clinical history, physical and neurological examination, cognitive evaluation, the Cornell scale and the Patient Health Questionnaire for psychiatric symptoms. Scores greater than or equal to 8 on the Cornell scale were taken to indicate the presence of depressive symptoms.

resultsA total of 455 elders were assessed, and of these 169 (37.1%) had clinically significant depressive symptoms (CSDS). Depression prevalence was higher among women (p<0.001) and individuals with lower education (p=0.033). The Chi-square test for trends showed a significant relationship where lower socioeconomic status was associated with greater likelihood of depressive symptoms (p=0.005).

conclusionThe prevalence of depressive symptoms was high in this sample of the population-based study and was associated with female gender, low educational level and socioeconomic status. The assessment of the entire population sample must be completed.

Indexed as

depressionelderlyprevalence

Identifiers

PMID29213847
PMCPMC5619195

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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.