Marije Deutekom
Datos Biográficos
| ID | 7754266 |
|---|---|
| NOMBRE | Marije Deutekom |
| NOMBRES | Marije |
| APELLIDO | Deutekom |
| FIRMA | DEUTEKOM M |
| AFILIACIONES | Inholland University of Applied Sciences |
| ORCID | 0000-0001-5280-5204 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 8 |
| TOTAL DE CITAS | 0 |
| TOTAL COMO AUTOR | 8 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2008 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2021 |
| ÍNDICE H | 0 |
What Are Good Situations for Running? A Machine Learning Study Using Mobile and Geographical Data
Running is a popular form of physical activity. Personal, social, and environmental determinants influence the engagement of the individual. To get insight in the relation between running behavior and external situations for different types of users, we carried out an extensive data mining study on large-scale datasets. We combined 4 years of historical running data (collected by a mobile exercise application from over 10K participants) with weat…
A Focus Group Study Among Inactive Adults Regarding the Perceptions of a Theory-Based Physical Activity App
Background: Despite the increasing attention for the positive effects of physical activity (PA), nearly half of the Dutch citizens do not meet the national PA guidelines. A promising method for increasing PA are mobile exercise applications (apps), especially if they are embedded with theoretically supported persuasive strategies (e.g., goal setting and feedback) that align with the needs and wishes of the user. In addition, it is argued that the…
The Design and Development of a Personalized Leisure Time Physical Activity Application Based on Behavior Change Theories, End-User Perceptions, and Principles From Empirical Data Mining
Introduction: Many adults do not reach the recommended physical activity (PA) guidelines, which can lead to serious health problems. A promising method to increase PA is the use of smartphone PA applications. However, despite the development and evaluation of multiple PA apps, it remains unclear how to develop and design engaging and effective PA apps. Furthermore, little is known on ways to harness the potential of artificial intelligence for de…
Reinforcement Learning to Send Reminders at Right Moments in Smartphone Exercise Application
Just-in-time adaptive intervention (JITAI) has gained attention recently and previous studies have indicated that it is an effective strategy in the field of mobile healthcare intervention. Identifying the right moment for the intervention is a crucial component. In this paper the reinforcement learning (RL) technique has been used in a smartphone exercise application to promote physical activity. This RL model determines the 'right' time to deli…
Assessing knowledge and attitudes towards screening among users of Faecal Immunochemical Test (FIT)
BACKGROUND: Informed decision making is recognized as important in screening. Invitees should be provided with relevant information, enabling them to make an informed decision. This may be more difficult in ethnic minority and low socio-economic status groups. We aimed to assess the proportion of informed decisions to participate in a faecal immunochemical test (FIT)-based colorectal cancer (CRC) screening pilot and to explore differences in know…
The effect of exercise on prescription on physical activity and wellbeing in a multi-ethnic female population
Dutch Trial register: NTR1294
Effectiveness of a web-based health risk assessment with individually-tailored feedback on lifestyle behaviour
Dutch Trial Register NTR8148
The effectiveness of "Exercise on Prescription" in stimulating physical activity among women in ethnic minority groups in the Netherlands
This trial will provide information on the effectiveness of an exercise referral scheme on the short and long term among women from ethnic minority groups, mainly non-Western, in the Netherlands. The results of this study will contribute to the evidence base for interventions in ethnic minority populations
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The effectiveness of "Exercise on Prescription" in stimulating physical activity among women in ethnic minority groups in the Netherlands
This trial will provide information on the effectiveness of an exercise referral scheme on the short and long term among women from ethnic minority groups, mainly non-Western, in the Netherlands. The results of this study will contribute to the evidence base for interventions in ethnic minority populations
The effect of exercise on prescription on physical activity and wellbeing in a multi-ethnic female population
Dutch Trial register: NTR1294
Effectiveness of a web-based health risk assessment with individually-tailored feedback on lifestyle behaviour
Dutch Trial Register NTR8148
Assessing knowledge and attitudes towards screening among users of Faecal Immunochemical Test (FIT)
BACKGROUND: Informed decision making is recognized as important in screening. Invitees should be provided with relevant information, enabling them to make an informed decision. This may be more difficult in ethnic minority and low socio-economic status groups. We aimed to assess the proportion of informed decisions to participate in a faecal immunochemical test (FIT)-based colorectal cancer (CRC) screening pilot and to explore differences in know…
What Are Good Situations for Running? A Machine Learning Study Using Mobile and Geographical Data
Running is a popular form of physical activity. Personal, social, and environmental determinants influence the engagement of the individual. To get insight in the relation between running behavior and external situations for different types of users, we carried out an extensive data mining study on large-scale datasets. We combined 4 years of historical running data (collected by a mobile exercise application from over 10K participants) with weat…
A Focus Group Study Among Inactive Adults Regarding the Perceptions of a Theory-Based Physical Activity App
Background: Despite the increasing attention for the positive effects of physical activity (PA), nearly half of the Dutch citizens do not meet the national PA guidelines. A promising method for increasing PA are mobile exercise applications (apps), especially if they are embedded with theoretically supported persuasive strategies (e.g., goal setting and feedback) that align with the needs and wishes of the user. In addition, it is argued that the…
The Design and Development of a Personalized Leisure Time Physical Activity Application Based on Behavior Change Theories, End-User Perceptions, and Principles From Empirical Data Mining
Introduction: Many adults do not reach the recommended physical activity (PA) guidelines, which can lead to serious health problems. A promising method to increase PA is the use of smartphone PA applications. However, despite the development and evaluation of multiple PA apps, it remains unclear how to develop and design engaging and effective PA apps. Furthermore, little is known on ways to harness the potential of artificial intelligence for de…
Reinforcement Learning to Send Reminders at Right Moments in Smartphone Exercise Application
Just-in-time adaptive intervention (JITAI) has gained attention recently and previous studies have indicated that it is an effective strategy in the field of mobile healthcare intervention. Identifying the right moment for the intervention is a crucial component. In this paper the reinforcement learning (RL) technique has been used in a smartphone exercise application to promote physical activity. This RL model determines the 'right' time to deli…
Medicine (5 obras) · Physical Activity and Health (5 obras) · Psychology (5 obras) · Environmental health (4 obras) · Mobile Health and mHealth Applications (4 obras) · Population (4 obras) · Behavioral Health and Interventions (3 obras) · Biostatistics (3 obras) · Computer Science (3 obras) · Ethnic group (3 obras)