Evidence map›Paper›PMID 38656069›Full record

ArticleCadernos de saude publica2024

[Differences between men and women in the prevalence of frailty and associated factors among older adults: evidence from ELSI-Brazil].

Silvia Lanziotti Azevedo da Silva, Geraldo Eduardo Guedes de Brito, Nair Tavares Milhem Ygnatios, Juliana Vaz de Melo Mambrini, Maria Fernanda Lima-Costa, Juliana Lustosa Torres

Abstract readEnglish Abstract
In one paragraph

Article in Cadernos de saude publica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Observational
  2. Article
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

6 authors.

Silvia Lanziotti Azevedo da SilvaUniversidade Federal de Juiz de Fora, Juiz de Fora, Brasil.ORCID 0000-0002-2323-2029
Geraldo Eduardo Guedes de BritoUniversidade Federal da Paraíba, João Pessoa, Brasil.ORCID 0000-0002-3059-3164
Nair Tavares Milhem YgnatiosNúcleo de Estudos em Saúde Pública e Envelhecimento, Fundação Oswaldo Cruz/Universidade Federal de Minas Gerais, Belo Horizonte, Brasil.ORCID 0000-0002-8862-1930
Juliana Vaz de Melo MambriniInstituto René Rachou, Fundação Oswaldo Cruz, Belo Horizonte, Brasil.ORCID 0000-0002-0420-3062
Maria Fernanda Lima-CostaNúcleo de Estudos em Saúde Pública e Envelhecimento, Fundação Oswaldo Cruz/Universidade Federal de Minas Gerais, Belo Horizonte, Brasil.ORCID 0000-0002-3474-2980
Juliana Lustosa TorresUniversidade Federal de Minas Gerais, Belo Horizonte, Brasil.ORCID 0000-0002-3687-897X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Based on a national representative sample of the population aged 50 years or older, this study aimed to estimate the prevalence of frailty among men and women, identify associated sociodemographic and health factors, and estimate the population attributable fraction. Data from the second wave (2019-2021) of the Brazilian Longitudinal Study of Aging (ELSI-Brazil) were used. Frailty was classified based on the number of positive items among unintentional weight loss, exhaustion, low level of physical activity, slow gait, and weakness. The main analyses were based on multinomial logistic regression stratified by sex. The prevalence of frailty was lower in men (8.6%; 95%CI: 6.9; 10.7) than in women (11.9%; 95%CI: 9.6; 14.8), with the most frequent item being the low level of physical activity in both. Age and schooling level were the sociodemographic factors associated with pre-frailty and fragility among men and women. The population attributable fraction was different for frailty between genders. In men, the highest population attributable fraction was due to not having a partner (23.5%; 95%CI: 7.7; 39.2) and low schooling level (18.2%; 95%CI: 6.6; 29,7). In women, higher population attributable fraction values were due to memory deficit (17.1%; 95%CI: 7.6; 26.6), vision deficit (13.4%; 95%CI: 5.1; 21.7), and diabetes mellitus (11.4%; 95%CI: 4.6; 18,1). Similar population attributable fraction levels were observed for heart disease (8.9%; 95%CI: 3.8; 14.1 in women and 8.8%; 95%CI: 2.0; 15.6 in men). Strategies aimed at physical activity have the potential to prevent frailty in both men and women, and the prevention of chronic conditions is more important in women.

Indexed as

Frail ElderlyFrailtySocioeconomic FactorsAgedAged, 80 and overAge FactorsBrazilFemaleGeriatric AssessmentHumansLongitudinal StudiesMaleMiddle AgedPrevalenceRisk FactorsSex Distribution

Identifiers

PMID38656069
PMCPMC11034629

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Registered trials

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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.