Cited by 49Mobile Health and mHealth ApplicationsPhysical Activity and HealthContext-Aware Activity Recognition Systems

Qualitative Exploration of the Acceptability of a Mobile Phone and Pedometer‐Based Physical Activity Program in a Diverse Sample of Sedentary Women

Open access
Fukuoka, Yoshimi, Lindgren, Teri, Jong, Soson·2012·Public Health Nursing

Abstract

Objectives: The objectives of this paper were to explore the acceptability of components of a mobile phone/pedometer‐based physical activity program and to understand motivators and barriers to increase physical activity in a diverse sample of sedentary women. Design and Sample: Face‐to‐face semi‐structured interviews were conducted following a 3‐week pilot mobile phone/pedometer‐based physical activity intervention. Forty‐one sedentary women participated in the study. Measures: Subjects were interviewed using a semi‐structured interview guide. A qualitative description method was used to thematically analyze the interviews. Two investigators reviewed the transcripts independently and identified codes based on the main concerns in the interview questions. Results: Three themes emerged from qualitative data shedding light on the perceived acceptability and usefulness of a mobile phone/pedometer‐based intervention: (1) Monitor me: mobile phone/pedometer as self‐monitoring tools, (2) Motivate me: cycle of feedback in goal setting and usefulness/uselessness of daily random messages, (3) Mobilize me: engaging and adapting physical activity to fit one's own lifestyle. Conclusion: Mobile phone and pedometer‐based physical activity programs might be helpful in keeping sedentary women engaged and motivated to increase their physical activity. A randomized controlled trial of this intervention is warranted.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1111/j.1525-1446.2011.00997.x

Cites

18 of 18 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Fukuoka, Y., Lindgren, T., & Jong, S.
Affiliations
  • University of California, San Francisco (US)
  • Rutgers, The State University of New Jersey (US)
Corresponding author
Fukuoka, Yoshimi
Venue
Public Health Nursing
Publisher
Wiley
Published
2012-01-26
Volume
29
Issue
3
Pages
232-240
ISSN
  • 0737-1209 (ISSN-L)
  • 1525-1446
OpenAlex
W2077030353
Cited by
49
References
18
Citations by year
2025: 4 · 2024: 1 · 2023: 2 · 2022: 3 · 2021: 2 · 2020: 2 · 2019: 3 · 2018: 5 · 2017: 4 · 2016: 8 · 2015: 4 · 2014: 6 · 2013: 3
FWCI
7.39
Type
journal article
Language
en
Open access
Locations
  • Public Health Nursing (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institutes of Health
  • University of California, San Francisco
  • National Institute of Nursing Research (K23NR011454)
  • National Center for Research Resources (UL1RR024131)
Topics
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Health Sciences › Medicine › Physiology › Physical Activity and Health
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
Keywords
mobile phone intervention, pedometers, physical activity promotion, sedentary women, treatment acceptability, self-monitoring, goal setting, feedback, motivation, barriers to physical activity, lifestyle adaptation, mobile health
MeSH terms
Adult, Aged, Female, Humans, Middle Aged, Motivation, Self-Assessment, Exercise, Reminder Systems, Patient Satisfaction, Cell Phone, Actigraphy, Sedentary Behavior

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review