Stephanie Schöeppe

ORCID: 0000-0003-1937-876X
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Physical Activity and Health
  • Mobile Health and mHealth Applications
  • Obesity, Physical Activity, Diet
  • Behavioral Health and Interventions
  • Urban Transport and Accessibility
  • Digital Mental Health Interventions
  • Injury Epidemiology and Prevention
  • Eating Disorders and Behaviors
  • Impact of Technology on Adolescents
  • Gestational Diabetes Research and Management
  • Children's Physical and Motor Development
  • Health Literacy and Information Accessibility
  • Health disparities and outcomes
  • Child Development and Digital Technology
  • Motivation and Self-Concept in Sports
  • Recreation, Leisure, Wilderness Management
  • Global Public Health Policies and Epidemiology
  • Urban Green Space and Health
  • Children's Rights and Participation
  • Technology Adoption and User Behaviour
  • Health and Lifestyle Studies
  • Decision-Making and Behavioral Economics
  • Social Media in Health Education
  • Mental Health and Patient Involvement
  • Delphi Technique in Research

Central Queensland University
2015-2024

Queensland University of Technology
2015-2022

Apple (Israel)
2019

National Heart Foundation of Australia
2015

German Centre for Cardiovascular Research
2015

University of Newcastle Australia
2015

The University of Sydney
2006-2008

Background Mobile health apps (MHA) have the potential to improve care. The commercial MHA market is rapidly growing, but content and quality of available are unknown. Instruments for assessment highly needed. Application Rating Scale (MARS) one most widely used tools evaluate MHA. Only few validation studies investigated its metric quality. No study has evaluated construct validity concurrent validity. Objective This evaluates validity, reliability, objectivity, MARS. Methods Data was...

10.1371/journal.pone.0241480 article EN cc-by PLoS ONE 2020-11-02

Pedometers are an effective self-monitoring tool to increase users' physical activity. However, a range of advanced trackers that measure activity 24 hours per day have emerged (eg, Fitbit). The current study aims determine people's use, interest and preferences for trackers.A cross-sectional national telephone survey was conducted in Australia with 1349 respondents.Regression analyses were used whether tracker use over pedometers is function demographics. Preferences features reasons not...

10.1136/bmjopen-2016-011243 article EN cc-by-nc BMJ Open 2016-07-01

Independent mobility describes the freedom of children to travel and play in public spaces without adult supervision. The potential benefits for are significant such as social interactions with peers, spatial traffic safety skills increased physical activity. Yet, health independent mobility, particularly on activity accumulation, largely unexplored. This study aimed investigate associations children’s light, moderate-to-vigorous, total accumulation. In 2011 - 2012, 375 Australian aged 8-13...

10.1186/1471-2458-14-91 article EN cc-by BMC Public Health 2014-01-29

People with knowledge of the benefits physical activity tend to be more active; however, such is typically operationalized as a basic understanding that 'good' for health. Therefore, aim this study was investigate whether there are differences in how detailed person's about activity. Participants (N = 615) completed an online survey measure their current behaviour, well level and risks (in)activity. The majority participants (99.6%) strongly agreed good health, however on average, only...

10.1371/journal.pone.0207003 article EN cc-by PLoS ONE 2018-11-28

Background: Parents play an important role in modelling healthy behaviours to their children. This study investigated associations between parent and child physical activity screen time across specific domains, including moderating effects by gender. Method: The sample comprised 3300 school children 2933 parents participating the UP4FUN project (mean ages: 11.2 ± 0.8 years, mother 40.0 4.9 father 43.4 5.8 years; 49% boys, 83% mothers). Data were collected 2011 Belgium, Greece, Hungary,...

10.1093/eurpub/ckw182 article EN European Journal of Public Health 2016-10-11

Web-based interventions that provide personalized physical activity advice have demonstrated good effectiveness but rely on self-reported measures of activity, which are prone to overreporting, potentially reducing the accuracy and provided.

10.2196/11321 article EN cc-by Journal of Medical Internet Research 2018-09-04

Background: Few studies have delved into the relationship of social environment with children’s physical activity and outdoor play in public playgrounds by considering gender differences. The aim present study was to examine differences playgrounds. Methods: A quantitative, observational conducted at ten one district a middle-sized town Germany. environment, levels, were measured using modified version System for Observing Play Leisure Activity Youth. Results: In total, 266 observations...

10.3390/ijerph15071356 article EN International Journal of Environmental Research and Public Health 2018-06-28

Purpose: To investigate associations between maternal and paternal sport participation, children’s leisure-time physical activity, to explore differences by child gender. Method: The sample comprised 737 year five students (mean age: 11.0 ± 0.6 years, 52% male) recruited through the Fit for Pisa Project which was conducted in 2008 at 6 secondary schools Goettingen, Germany. Maternal participation were assessed reports of mothers’ fathers’ weekly sport. Children’s activity measured as...

10.1123/pes.2015-0236 article EN Pediatric Exercise Science 2016-02-17

Several studies have examined how the implementation of behavior change techniques (BCTs) varies between different activity trackers. However, trackers frequently allow tracking activity, sleep, and sedentary behaviors; yet, it is unknown BCTs differs these behaviors.The aim this study was to assess number type that are implemented by wearable (self-monitoring systems) in relation behaviors determine whether differ behaviors.Three self-monitoring systems (Fitbit [Charge HR], Garmin...

10.2196/ijmr.6685 article EN cc-by Interactive Journal of Medical Research 2017-08-14

This study aimed to identify and compare the demographic, health behavior, status, social media use correlates of online health-seeking behaviors among men women. Cross-sectional self-report data were collected from 1,289 Australian adults participating in Queensland Social Survey. Logistic regression analyses used information seeking for Differences strength relation these tested using equality coefficient tests. For both genders, two strongest (men: odds ratio [ OR] = 2.57, 95% confidence...

10.1177/1557988316650625 article EN cc-by-nc American Journal of Men s Health 2016-05-18

This study investigated changes in Australian children's independent mobility levels between1991 and 2012. Data from five cross-sectional studies conducted 1991, 1993, 2010, 2011 2012 were analysed. Parent child surveys used to assess parental licences for actual behaviour children aged 8–13 years. Findings show declines the proportion of young (≤10 years age) being allowed travel home school alone (1991: 68%, 1993: 50%, 2010: 43%, 2011: 45%, 2012: 31%) on buses 31%, 15%, 8%, 6%, 9%)....

10.1080/14733285.2015.1082083 article EN Children s Geographies 2015-09-11

This study aims to examine the relationship of lifestyle behaviors (physical activity, work and non-work sitting time, sleep quality, duration) with presenteeism while controlling for sociodemographics, work- health-related variables.Data were collected from 710 workers (aged 20 76 years; 47.9% women) randomly selected Australian adults who completed an online survey. Linear regression was used between presenteeism.Poorer quality (standardized coefficients [B] = 0.112; P < 0.05), suboptimal...

10.1097/jom.0000000000000355 article EN other-oa Journal of Occupational and Environmental Medicine 2015-03-01

Physical inactivity levels are unacceptably high and effective interventions that can increase physical activity in large populations at low cost urgently needed. Web-based use computer-tailoring have shown to be effective, though people tend 'skim' 'scan' text on the Internet rather than thoroughly read it. The of online videos is, however, popular engaging. Therefore, aim this 3-group randomised controlled trial is examine whether a web-based intervention provides personally-tailored more...

10.1186/s12889-015-2363-4 article EN cc-by BMC Public Health 2015-10-05

In developed countries, children's independent mobility levels are low. Built environmental factors and parental safety concerns well-known to predict the level of adults grant children. contrast, influence adults' socio-demographic characteristics neighbourhood social cohesion on is largely unexplored. This study investigated distances they would permit children for travel outdoor play. 2013, a random sample 1293 Australian (mean age: 56.1 years, 52 % male, 81 parents) participated in...

10.1186/s12889-015-2053-2 article EN cc-by BMC Public Health 2015-07-21

It has been shown that physical activity is more likely to increase if web-based interventions apply evidence-based components (e.g. self-monitoring) and incorporate interactive social media applications networking), but it unclear what extent these are being utilized in the publicly available interventions. The purpose of this study was evaluate whether freely accessible websites delivering use behavior change techniques provide applications.In 2013, a systematic search strategy examined...

10.1186/s12966-014-0105-0 article EN cc-by International Journal of Behavioral Nutrition and Physical Activity 2014-08-16

This study investigates differences in physical activity between weekdays and weekend days, its associations with sociodemographic anthropometric characteristics the U.S population using NHANES 2011-2014 data. Physical was measured ActiGraph GT3X+. Raw acceleration data were converted to Monitor-Independent Movement Summary units (MIMS-units) that account for inter-device variability eliminates non-human movement. The daily MIMS-units averaged days. Demographic self-reported. Height weight...

10.1016/j.pmedr.2022.101892 article EN cc-by Preventive Medicine Reports 2022-07-05
Coming Soon ...