Evidence map›Paper›PMID 41560715›Full record

ArticlePublic health in practice (Oxford, England)2026

First dual-frame telephone survey for non-communicable disease risk and protective factors: Methods and main findings from a central Brazilian state, 2022.

Magna Maria de Carvalho, Max Moura de Oliveira, Selma Alves Tavares de Oliveira, Maria do Rosário Gondim Peixoto, Robério Amorim de Almeida Ponde, Flúvia Pereira Amorim da Silva, João Bosco Siqueira Júnior

Abstract read
In one paragraph

Article in Public health in practice (Oxford, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Magna Maria de CarvalhoPostgraduate Program in Tropical Medicine and Public Health. Institure of Tropical Pathology and Public Health. Federal University of Goiás, Brazil, Rua 235. S/N. Setor Universitário, Goiânia, Goiás, CEP: 74605-050, Brazil.
Max Moura de OliveiraPostgraduate Program in Tropical Medicine and Public Health. Institure of Tropical Pathology and Public Health. Federal University of Goiás, Brazil, Rua 235. S/N. Setor Universitário, Goiânia, Goiás, CEP: 74605-050, Brazil.
Selma Alves Tavares de OliveiraPostgraduate Program in Tropical Medicine and Public Health. Institure of Tropical Pathology and Public Health. Federal University of Goiás, Brazil, Rua 235. S/N. Setor Universitário, Goiânia, Goiás, CEP: 74605-050, Brazil.
Maria do Rosário Gondim PeixotoDepartmente of Nutrition, Federal University of Goiás., Rua 227, Qd. 68, S/N, Setor Universitário, Goiânia, Goiás, CEP: 74605-080, Brazil.
Robério Amorim de Almeida PondeHealth Surveillance Superintendency, State Department of Health of Goiás., Rua 135, Qd. F44, Lts. 22 a 24, Ed. César Sebba, Setor Sul, Goiânia, Goiás, CEP: 74093-250, Brazil.
Flúvia Pereira Amorim da SilvaHealth Surveillance Superintendency, State Department of Health of Goiás., Rua 135, Qd. F44, Lts. 22 a 24, Ed. César Sebba, Setor Sul, Goiânia, Goiás, CEP: 74093-250, Brazil.
João Bosco Siqueira JúniorPostgraduate Program in Tropical Medicine and Public Health. Institure of Tropical Pathology and Public Health. Federal University of Goiás, Brazil, Rua 235. S/N. Setor Universitário, Goiânia, Goiás, CEP: 74605-050, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To Describe the methodology used in the first risk factor survey for non-communicable diseases in Goiás, a central state of Brazil and identify differences in prevalence of risk and protective factors for chronic disease between landline and mobile phone users. Study design: A cross-sectional study. Methods: A cross-sectional study was conducted using telephone interviews via landlines and mobile phones. The Random-Digit Dialing probabilistic sampling method was used to select phone lines. The Rake method weighted the data and the hot deck technique imputed missing weight and height data. A total of 5018 individuals residing in Goiás were stratified by sex, age group, education level and health macro-regions. Operational, demographic characteristics and prevalence of risk factors were evaluated, with crude and adjusted prevalence ratios calculated using the Poisson regression model. Results: Mobile telephony offered some operational advantages, while refusal rates were lower for landlines. Landline telephony underestimated men, adults and individuals with fewer years of schooling, while mobile's underestimated the elderly. Significant differences in prevalence were found for 16 indicators. Mobile phone users showed higher prevalence of risk factors, while landline's showed higher prevalence of protective factors. Conclusion: The use of both landline and mobile telephony was necessary to ensure population representativeness. However, new strategies are needed to improve participation in future surveys.

Indexed as

Cell phoneCross-sectional studiesEpidemiological surveysNon-communicable diseasesRisk factors

Identifiers

PMID41560715
PMCPMC12814097

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LicenceCC BY-NC-ND
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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.