Evidence map›Paper›PMID 36203689›Full record

ArticleFrontiers in public health2022

Profile of adults users of smartphone applications for monitoring the level of physical activity and associated factors: A cross-sectional study.

Wesley de Oliveira Vieira, Thatiane Lopes Valentim di Paschoale Ostolin, Maria do Socorro Morais Pereira Simões, Neli Leite Proença, Victor Zuniga Dourado

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 13% of its field
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Inequalities in Exclusively Mobile Interventions Targeting Weight-Related Behaviors: Systematic Review of Observational Studies.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
    Pooled it
  2. Trial
  3. Article
  4. Review
  5. 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

5 authors at 2 institutions in 2 countries.

Wesley de Oliveira VieiraLaboratory of Epidemiology and Human Movement, Department of Human Movement Sciences, Institute of Health and Society, Federal University of São Paulo (UNIFESP), São Paulo, Brazil.
Thatiane Lopes Valentim di Paschoale OstolinLaboratory of Epidemiology and Human Movement, Department of Human Movement Sciences, Institute of Health and Society, Federal University of São Paulo (UNIFESP), São Paulo, Brazil.
Maria do Socorro Morais Pereira SimõesLaboratory of Epidemiology and Human Movement, Department of Human Movement Sciences, Institute of Health and Society, Federal University of São Paulo (UNIFESP), São Paulo, Brazil.
Neli Leite ProençaLaboratory of Epidemiology and Human Movement, Department of Human Movement Sciences, Institute of Health and Society, Federal University of São Paulo (UNIFESP), São Paulo, Brazil.
Victor Zuniga DouradoLaboratory of Epidemiology and Human Movement, Department of Human Movement Sciences, Institute of Health and Society, Federal University of São Paulo (UNIFESP), São Paulo, Brazil.
Universidade Federal de São Paulo · BRHarvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: There are currently more than 200 million smartphones in Brazil. The potential of mobile technologies for favorable changes in health behavior such as physical activity has been previously described in the literature. Results of surveys in developed countries indicate that applications (APPs) are developed for people who are better educated, younger, and with higher incomes compared to non-users. However, the profile of users in developing countries like Brazil is not well-known. Understanding the profile of APP users might ease the development turned to physically inactive people and those at higher cardiovascular risk. Furthermore, the physiological and functional factors associated with the use of such APP are unknown. Objectives: To characterize the profile of APP users to monitor the physical activity level (PAL) and assess the demographic, socioeconomic, clinical, physiological, and functional characteristics associated with the use of smartphone APPs to monitor physical activity in Brazilian adults. Methods: We assessed 176 asymptomatic men and 178 women (43 ± 12 years; 27 ± 5 kg/m Results: One hundred and two participants (28.3%), unrelated to gender, reported using a smartphone APP for physical activity at the time of assessment. Except for perceived stress and the built environment that were not associated with the use of APP, users of APP were younger and had higher education, lower cardiovascular risk, better socioeconomic status, a better quality of life, better cardiorespiratory function, better body composition, greater physical fitness and more moderate to vigorous physical activity in daily life. The results of the multiple logistic regression showed that age, hypertension, VO Conclusions: Our results indicate that smartphone APPs to monitor physical activity are developed for younger adults with better socioeconomic status, lower cardiovascular risk, higher quality of life, and greater cardiorespiratory fitness. Greater efforts are needed to develop a science-based APP for people who most need this technology, enabling greater potential to prevent undesirable health outcomes in asymptomatic adults.

Indexed as

Mobile ApplicationsAdultCross-Sectional StudiesExerciseFemaleHand StrengthHumansMaleQuality of LifeSmartphoneBrazildemographicsmobile Health (mHealth)physical fitnessrisk factors

Identifiers

PMID36203689
PMCPMC9530973
OpenAlexW4297905805

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.