Mobile real-time interventions in the job context - physical activity

Mobile real-time interventions in the job context - physical activity - SmartJob_active

Status

Active, not recruiting

Phases

Unknown

Study type

Interventional

Source

DRKS

Registry ID

DRKS00010609

Enrollment

200

Registered

2016-07-21

Start date

2016-08-01

Completion date

Unknown

Last updated

2025-04-07

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Basic research with working people from the general population and primary prevention

Interventions

Group 1: Intervention group: Daily mental contrasting with implementation intentions regarding physical activity via smartphone (2 weeks) + daily objective assessment of physical activity via activity

no mental contrasting with implementation intentions Group 3: Control group 2: Daily mobile assessment of work conditions and self-reported physical activity via smartphone-based surveys (2 weeks)

no mental contrasting with implementation intentions

no objective assessment of physical activity via activity sensor

is the same group as in SmartJob_snacking (DRKS00010653)

Eligibility

Sex/Gender

All

Age

18 Years to 65 Years

Inclusion criteria

Inclusion criteria: 1. 18 years at the beginning of the study 2. employed 3. has freely given informed consent

Exclusion criteria

Exclusion criteria: Participant is not able to use PC, tablet computer or smartphone without assistance, is not allowed to do so at work, or is unable to read German websites or fill in surveys; Participant is older than 65 years

Design outcomes

Primary

Measure	Time frame
(1) Attitude change with respect to physical activity; in particular habit strength (Activity) (similar to Verhoeven et al., 2012), outcome expectancy (Physical Activity) (Schwarzer & Renner, 2000), self-efficacy (Physical Activity) (Garcia & King, 1991), exercise identity (Anderson & Cychosz, 1994), assessed immediately after the intervention and in a follow-up survey one year after the intervention; assessed by respective self-report-scales (see references); (2) Behavior change in physical activity, assessed immediately after the intervention and in a follow-up survey one year after the intervention; assessed by the Global Physical Activity Questionnaire. (3) Evaluation of the intervention; assessed immediately after the intervention and in a follow-up survey one year after the intervention; assessed via self-developed questionnaire items. References: Anderson, D. F., & Cychosz, C. M. (1994). Development of an exercise identity scale. Perceptual and Motor Skills, 78, 747-751. Garcia, A. W., & King, A. C. (1991). Predicting long-term adherence to aerobic exercise: A comparison of two models. Journal of Sport & Exercise Psychology, 13, 394-410. Schwarzer, R., & Renner, B. (2000). Social-cognitive predictors of health behavior: Action self-efficacy and coping self-efficacy. Health Psychology, 19, 487-495. Verhoeven, A. A. C., Adriaanse, M. A., Evers, C., & de Ridder, D. T. D. (2012). The power of habits: Unhealthy snacking behaviour is primarily predicted by habit strength. British Journal of Health Psychology, 17, 758-770.	—

Measure

Time frame

(1) Attitude change with respect to physical activity; in particular habit strength (Activity) (similar to Verhoeven et al., 2012), outcome expectancy (Physical Activity) (Schwarzer & Renner, 2000), self-efficacy (Physical Activity) (Garcia & King, 1991), exercise identity (Anderson & Cychosz, 1994), assessed immediately after the intervention and in a follow-up survey one year after the intervention; assessed by respective self-report-scales (see references); (2) Behavior change in physical activity, assessed immediately after the intervention and in a follow-up survey one year after the intervention; assessed by the Global Physical Activity Questionnaire. (3) Evaluation of the intervention; assessed immediately after the intervention and in a follow-up survey one year after the intervention; assessed via self-developed questionnaire items. References: Anderson, D. F., & Cychosz, C. M. (1994). Development of an exercise identity scale. Perceptual and Motor Skills, 78, 747-751. Garcia, A. W., & King, A. C. (1991). Predicting long-term adherence to aerobic exercise: A comparison of two models. Journal of Sport & Exercise Psychology, 13, 394-410. Schwarzer, R., & Renner, B. (2000). Social-cognitive predictors of health behavior: Action self-efficacy and coping self-efficacy. Health Psychology, 19, 487-495. Verhoeven, A. A. C., Adriaanse, M. A., Evers, C., & de Ridder, D. T. D. (2012). The power of habits: Unhealthy snacking behaviour is primarily predicted by habit strength. British Journal of Health Psychology, 17, 758-770.

—

Secondary

Measure	Time frame
Body Mass Index, measured immediately after the intervention and in the follow-up-survey one year after the intervention. After the intervention and in the follow-up survey, we additionally assess the use of the health care system as well as consumption of alcohol and tobacco.	—

Countries

Germany

Contacts

Public ContactAlexander Pundt

Universität Mannheim; Lehrstuhl für Arbeits- und Organisationspsychologie

alexander.pundt@uni-mannheim.de0621 - 181 2116

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Feb 4, 2026