Evidence map›Paper›PMID 33301455›Full record

Observational studyPloS one2020

Tailoring digital apps to support active ageing in a low income community.

Paula Costa Castro, Lua Bonadio Romano, David Frohlich, Lorena Jorge Lorenzi, Lucas Bueno Campos, Andresa Paixão, Patrícia Bet, Marije Deutekom, Ben Krose, Victor Zuniga Dourado and 1 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 3 pooled it
5.4field-weighted citation impact, top 4% 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

13 citing papers in PubMed, 3 syntheses or guidelines pooled it, 36 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Article
  6. Article
  7. Review
  8. A Toolkit for Co-Designing towards Community-Based Active Ageing: Lessons Learned during Development.International journal of environmental research and public health · 2022
    Article
  9. Article
  10. Article
  11. The Barriers and Facilitators to the Use of Lifestyle Apps: A Systematic Review of Qualitative Studies.European journal of investigation in health, psychology and education · 2022
    Review
  12. Article
  13. 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

11 authors at 4 institutions in 3 countries.

Paula Costa CastroDGero, Universidade Federal de São Carlos, São Carlos, SP, Brazil.
Lua Bonadio RomanoDGero, Universidade Federal de São Carlos, São Carlos, SP, Brazil.
David FrohlichDWRC, University of Surrey, Guildford, United Kingdom.
Lorena Jorge LorenziDGero, Universidade Federal de São Carlos, São Carlos, SP, Brazil.ORCID 0000-0002-2378-1263
Lucas Bueno CamposDGero, Universidade Federal de São Carlos, São Carlos, SP, Brazil.
Andresa PaixãoDGero, Universidade Federal de São Carlos, São Carlos, SP, Brazil.
Patrícia BetPrograma de Pós-Graduação Interunidades em Bioengenharia (EESC/FMRP/IQSC-USP), Sao Carlos, SP Brazil.ORCID 0000-0001-8905-8679
Marije DeutekomAmsterdam University of Applied Science, Inholland University, Diemen, Holland, Netherland.
Ben KroseUVA, HVA, Amsterdam, Holland, Netherland.ORCID 0000-0003-1237-0618
Victor Zuniga DouradoDCMH, Universidade Federal de São Paulo, Santos, SP, Brazil.
Grace Angélica de Oliveira GomesDGero, Universidade Federal de São Carlos, São Carlos, SP, Brazil.
Universidade Federal de São Carlos · BRInholland University of Applied Sciences · NLUniversidade Federal de São Paulo · BRUniversity of Surrey · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite physical activity being one of the determinants of healthy aging, older people tend to become less active over the years. Maintaining physical activity levels during the life course is a motivational challenge. Digital tools have been used to change this pattern, such as smartphone applications to support physical activity; but there is a lack of in-depth research on the diversity of user's experiences, especially considering older users or non-users of information and communication technologies.

objectiveOur goal was to identify requirements for designing a mobile app to encourage physical activity in a low-income community population of older people in Brazil (i.e. over 40 years old).

methodWe conducted a qualitative focus group study, involving by co-design of a physical activity application (Pacer)®. Seventeen volunteers were divided into 2 focus groups of physical active and insufficiently active, and 2 further 4 subgroups in each characterised by digital engagement. The following procedures were performed: (i) baseline assessments; (ii) a focus group with physically active older people and a focus group with insufficiently active older people (iii) design activities with both groups to re-design Pacer.

resultsDeveloping physical activity apps for older people should consider the following features: free application, simple interface, motivational messages using audio and visual information, sharing information among users, multimedia input and sharing and user customisation. In particular, we recommend that exercise apps in low-income communities be tailored to our four categories of users differing in baseline physical activity and digital engagement, to match the social and behavioural preferences we discovered.

Indexed as

Mobile ApplicationsAdultAgedAged, 80 and overAge FactorsAgingBrazilCross-Sectional StudiesExerciseFemaleFocus GroupsHealth PromotionHealthy AgingHumansMaleMiddle Aged

Identifiers

PMID33301455
PMCPMC7728168
OpenAlexW3111728235

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.