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I-GENDO : An individualized gender-sensitive mHealth intervention for overweight and obesity
van der Velde, Caroline; Schroeder, Stefanie; Pape, Magdalena; u. a. (2020): I-GENDO : An individualized gender-sensitive mHealth intervention for overweight and obesity, in: Bamberg: Otto-Friedrich-Universität, doi: 10.20378/irb-47213.
Faculty/Chair:
By:
van der Velde, Caroline; ...
Corporate Body:
ESRII Conference, 6, 2019, Kopenhagen
Publisher Information:
Year of publication:
2020
Pages:
Language:
English
DOI:
Abstract:
The use of mobile-health applications (mHealth) has significantly increased throughout the past years and psychological mHealth interventions in particular have become accessible for a broad audience. However, existing psychological mHealth interventions often come as “one fits all” interventions and lack individualization. One promising approach to realize individualization is to implement gender sensitivity, which could improve the effectiveness and acceptance of mHealth interventions. However, to the best of our knowledge, gender-sensitive psychological mHealth interventions have not been developed by now. Therefore, it was our aim to develop a gender-sensitive psychological mHealth intervention and to evaluate it by means of effectiveness and user acceptance. As there are important gender-effects known in overweight and obesity and psychological treatment is recommended by treatment guidelines, our intervention I-GENDO focusses on psychological aspects in overweight and obesity.
The I-GENDO intervention considers gender sensitivity by offering two different styles of presentation for each of six interventions modules. Both styles have been developed with specific regard to gender-related aspects in overweight and obesity (e.g. considering gender specific coping behaviour, presenting gender sensitive case examples). Effectiveness and acceptance of the I-GENDO intervention will be investigated under gender-sensitive aspects using a randomized controlled study design. 218 individuals with overweight or obesity will take part in the 12-week smartphone based interventional trial.
The study’s recruitment process is scheduled for spring 2019. At the 6th esrii conference in September 2019 we will be able to present the gender-sensitive structure of the intervention and to report first data on compliance and acceptance as indicated by acceptance questionnaires as well as completion rate. We expect that male and female users show differences in acceptance and compliance.
Consideration of gender differences could enhance acceptance and effectiveness of psychological mHealth interventions by respecting the individual needs of the users, not only in overweight and obesity. The gender-sensitive structure of the I-GENDO intervention may be assigned to other (mental) health conditions.
The I-GENDO intervention considers gender sensitivity by offering two different styles of presentation for each of six interventions modules. Both styles have been developed with specific regard to gender-related aspects in overweight and obesity (e.g. considering gender specific coping behaviour, presenting gender sensitive case examples). Effectiveness and acceptance of the I-GENDO intervention will be investigated under gender-sensitive aspects using a randomized controlled study design. 218 individuals with overweight or obesity will take part in the 12-week smartphone based interventional trial.
The study’s recruitment process is scheduled for spring 2019. At the 6th esrii conference in September 2019 we will be able to present the gender-sensitive structure of the intervention and to report first data on compliance and acceptance as indicated by acceptance questionnaires as well as completion rate. We expect that male and female users show differences in acceptance and compliance.
Consideration of gender differences could enhance acceptance and effectiveness of psychological mHealth interventions by respecting the individual needs of the users, not only in overweight and obesity. The gender-sensitive structure of the I-GENDO intervention may be assigned to other (mental) health conditions.
GND Keywords: ; ;
Fettsucht
Übergewicht
Therapie
DDC Classification:
RVK Classification:
Type:
Conferenceobject
Activation date:
June 29, 2020
Permalink
https://fis.uni-bamberg.de/handle/uniba/47213