Annet Kleiboer
Biographic Data
| ID | 3576663 |
|---|---|
| NAME | Annet Kleiboer |
| GIVEN NAMES | Annet |
| FAMILY NAME | Kleiboer |
| SIGNATURE | KLEIBOER A |
| AFFILIATIONS | Vrije Universiteit Amsterdam |
| ORCID | 0000-0001-8040-5697 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 3 |
| WORKS AS AUTHOR | 9 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2006 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Machine-learning detection of stress severity expressed on a continuous scale using acoustic, verbal, visual, and physiological data
The complexity of input features needed for machine-learning detection of stress severity based on multimodal data requires large sample sizes with wide variability of stress reactions and inputs among participants. These are difficult to recruit for laboratory setting, due to high time and effort demands on the side of both researcher and participant. Resources needed may be decreased using automatization of experimental procedures, which may, h…
Daily stress encounters
When it comes to coping with stress, positive emotion upregulation is of utmost importance. Positive emotions have been suggested to be an important resource during stressful times since people try to create and upregulate pleasant emotional states when feeling stressed. Accordingly, individual differences in the ability to generate and savor positive emotional states could also affect one's skills in dealing with stress. In this regard, an impor…
A Data-Driven Clustering Method for Discovering Profiles in the Dynamics of Major Depressive Disorder Using a Smartphone-Based Ecological Momentary Assessment of Mood
The real-time monitoring conducted in the present study provides some preliminary indications of different patterns of both average mood and mood variability among MDD patients in treatment in mental health settings. Such varying patterns were not found for emotional inertia
Working Alliance Inventory for Online Interventions-Short Form (WAI-Tech-SF)
WAI-TECH-SF is a reliable questionnaire to assess the TA between the patient and the online program, which is associated with positive therapeutic outcomes and satisfaction with the treatment
Determinants of attitudes towards professional mental health care, informal help and self-reliance in people with subclinical depression
BACKGROUND: Although little is known about which people with subclinical depression should receive care to prevent the onset of depression, it is clear that remediating symptoms of depression is important. However, depending on the beliefs people hold about help, some people will seek professional help, while others seek informal help or solve problems on their own. AIMS: This study examined associations between attitudes about help and socio-dem…
A Meta-Analysis of Cognitive-Behavioural Therapy for Adult Depression, Alone and in Comparison with other Treatments
Monitoring symptoms at home
Daily negative interactions and mood among patients and partners dealing with multiple sclerosis (MS)
Receiving and providing support in couples dealing with multiple sclerosis
This study examined the effects of daily support exchanges in couples facing multiple sclerosis (MS). Two issues were examined: the imbalance between received and provided support, and the extent to which reciprocal exchanges of received and provided support are associated with end‐of‐day well‐being (positive and negative mood and self‐esteem). Guided by equity theory, we expected that one‐sided support provision or receipt would be harmful for w…
Receiving and providing support in couples dealing with multiple sclerosis
This study examined the effects of daily support exchanges in couples facing multiple sclerosis (MS). Two issues were examined: the imbalance between received and provided support, and the extent to which reciprocal exchanges of received and provided support are associated with end‐of‐day well‐being (positive and negative mood and self‐esteem). Guided by equity theory, we expected that one‐sided support provision or receipt would be harmful for w…
Daily negative interactions and mood among patients and partners dealing with multiple sclerosis (MS)
Monitoring symptoms at home
A Meta-Analysis of Cognitive-Behavioural Therapy for Adult Depression, Alone and in Comparison with other Treatments
Determinants of attitudes towards professional mental health care, informal help and self-reliance in people with subclinical depression
BACKGROUND: Although little is known about which people with subclinical depression should receive care to prevent the onset of depression, it is clear that remediating symptoms of depression is important. However, depending on the beliefs people hold about help, some people will seek professional help, while others seek informal help or solve problems on their own. AIMS: This study examined associations between attitudes about help and socio-dem…
Working Alliance Inventory for Online Interventions-Short Form (WAI-Tech-SF)
WAI-TECH-SF is a reliable questionnaire to assess the TA between the patient and the online program, which is associated with positive therapeutic outcomes and satisfaction with the treatment
A Data-Driven Clustering Method for Discovering Profiles in the Dynamics of Major Depressive Disorder Using a Smartphone-Based Ecological Momentary Assessment of Mood
The real-time monitoring conducted in the present study provides some preliminary indications of different patterns of both average mood and mood variability among MDD patients in treatment in mental health settings. Such varying patterns were not found for emotional inertia
Daily stress encounters
When it comes to coping with stress, positive emotion upregulation is of utmost importance. Positive emotions have been suggested to be an important resource during stressful times since people try to create and upregulate pleasant emotional states when feeling stressed. Accordingly, individual differences in the ability to generate and savor positive emotional states could also affect one's skills in dealing with stress. In this regard, an impor…
Machine-learning detection of stress severity expressed on a continuous scale using acoustic, verbal, visual, and physiological data
The complexity of input features needed for machine-learning detection of stress severity based on multimodal data requires large sample sizes with wide variability of stress reactions and inputs among participants. These are difficult to recruit for laboratory setting, due to high time and effort demands on the side of both researcher and participant. Resources needed may be decreased using automatization of experimental procedures, which may, h…
Psychology (7 works) · Clinical Psychology (6 works) · Medicine (5 works) · Psychiatry (5 works) · Clinical Psychology (4 works) · Computer Science (3 works) · Digital Mental Health Interventions (3 works) · Mental Health Research Topics (3 works) · Mood (3 works) · Social Psychology (3 works)