Evidence map›Paper›PMID 39440825›Full record

ArticleRevista brasileira de epidemiologia = Brazilian journal of epidemiology2023

Temporal trends of morbidities, and risk and protective factors for noncommunicable diseases in elderly residents in Brazilian capitals.

Alanna Gomes da Silva, Fabiana Martins Dias de Andrade, Edmar Geraldo Ribeiro, Deborah Carvalho Malta

Abstract read
In one paragraph

Article in Revista brasileira de epidemiologia = Brazilian journal of epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

4 authors.

Alanna Gomes da SilvaUniversidade Federal de Minas Gerais, School of Nursing, Graduate Program in Nursing - Belo Horizonte (MG), Brazil.ORCID http://orcid.org/0000-0003-2587-5658
Fabiana Martins Dias de AndradeUniversidade Federal de Minas Gerais, School of Medicine, Graduate Program in Public Health - Belo Horizonte (MG), Brazil.ORCID http://orcid.org/0000-0001-8277-6061
Edmar Geraldo RibeiroUniversidade Federal de Minas Gerais, School of Nursing, Graduate Program in Nursing - Belo Horizonte (MG), Brazil.ORCID http://orcid.org/0000-0002-7201-9566
Deborah Carvalho MaltaUniversidade Federal de Minas Gerais, School of Nursing, Graduate Program in Nursing - Belo Horizonte (MG), Brazil.ORCID http://orcid.org/0000-0002-8214-5734

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo analyze the temporal trends of prevalence of morbidities, risk and protection factors for noncommunicable diseases in elderly residents in Brazilian capitals between 2006 and 2021.

methodsA time series study with data from the Surveillance System of Risk and Protective Factors for Chronic Diseases by Telephone Inquiry. The variables analyzed were: high blood pressure, diabetes, smoking, overweight, obesity, consumption of alcoholic beverages, soft drinks, fruits and vegetables, and the practice of physical activity. Prais-Winsten regression and Interrupted Time Series from 2006 to 2014 and 2015 to 2021 were used.

resultsFrom 2006 to 2021, for the total elderly population, there was an increase in diabetes (19.2 to 28.4%), alcohol consumption (2.5 to 3.2%), overweight (52.4 to 60.7%) and obesity (16.8 to 21.8%), and a reduction in the prevalence of smokers (9.4 to 7.4%) and in soft drink consumption (17 to 8.7%). By the interrupted series, between 2015 and 2021, there was stability in the prevalence of diabetes, female smokers, overweight among men, obesity in the total and male population, and soft drink consumption.

conclusionOver the years, there have been changes and worsening in the indicators analyzed, such as an increase in diabetes, alcohol consumption, overweight, and obesity, which reinforces the importance of continuous monitoring and sustainability programs to promote the health, especially in the context of economic crisis, austerity, and COVID-19 pandemic.

Identifiers

PMID39440825
PMCPMC10176736

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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.