Nicole P M Ezendam
Biographic Data
| ID | 7690789 |
|---|---|
| NAME | Nicole P M Ezendam |
| GIVEN NAMES | Nicole P M |
| FAMILY NAME | Ezendam |
| SIGNATURE | EZENDAM N P M |
| AFFILIATIONS | Tilburg University |
| ORCID | 0000-0002-5878-4210 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 8 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2007 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Predicting health-related quality of life two years post-diagnosis across seven cancer types: Using machine learning to identify vulnerable patients
The predictors used in this analysis explained only 30% of the variation in long-term HRQoL. Similar to previous studies predicting HRQoL in cancer, these predictors miss crucial information. Baseline functioning, comorbidities, cancer type and BMI appeared to be the key vulnerability factors. Future studies should prioritize accurate prediction of low HRQoL scores
Development of a prediction model for clinically-relevant fatigue: A multi-cancer approach
Although the models' discrimination was good, the low balanced accuracy and poor calibration in the presence of CRF indicates a relatively high likelihood of underdiagnosis of future CRF. Yet, the clinical applicability of the model remains uncertain. The logistic regression performed better than the ML-based models and was robust across cohorts, suggesting an advantage of simpler models to predict CRF
Cancer survivors not participating in observational patient-reported outcome studies have a lower survival compared to participants: The population-based PROFILES registry
Cancer survivors not participating in observational PROs research significantly differ from participants, with respect to socio-demographic and clinical characteristics, and survival. Their HRQoL scores may be systematically lower compared to participants. Therefore, even in PRO studies with relatively high participation rates, observed outcomes may represent the healthier patient with better outcomes
Survivorship care plans have a negative impact on long-term quality of life and anxiety through more threatening illness perceptions in gynecological cancer patients: The Rogy care trial
Current results show that SCPs may have negative effects on HRQoL and anxiety in patients who experience more threatening illness perceptions due to the SCP. We should be aware of the potential negative consequences of SCPs. Trial Registration clinicaltrials.gov Identifier: NCT01185626
Differential effects of the computer-tailored FATaintPHAT programme on dietary behaviours according to sociodemographic, cognitive and home environmental factors
Objective To explore whether the effects on dietary behaviours of a computer-tailored intervention aimed to prevent excessive weight gain among adolescents, FATaintPHAT, were moderated by sociodemographic, cognitive and home environmental factors. Design A two-group cluster randomized trial. Potential moderation of the outcome measures (consumption of sugar-sweetened beverages, snacks, fruits and vegetables) was studied by gender, education level…
Process evaluation of FATaintPHAT, a computer-tailored intervention to prevent excessive weight gain among Dutch adolescents
UNLABELLED: Process evaluations can help us to better interpret intervention effects and provide guidance in improving interventions. This study describes the use and appreciation of FATaintPHAT, a computer-tailored intervention to prevent excessive weight gain in adolescents and link these data to the intervention effects. Use and appreciation were assessed among students (12-13 years old) from the intervention group of the FATaintPHAT evaluatio…
Predictors of the Intention to Prevent Excessive Weight Gain in Youth
A small majority of adolescents had a positive intention to prevent gaining excessive weight. A positive attitude and higher perceived internal control were related to a positive intention
Design and evaluation protocol of "FATaintPHAT", a computer-tailored intervention to prevent excessive weight gain in adolescents
ISRCTN15743786
No prominent works on this page.
Design and evaluation protocol of "FATaintPHAT", a computer-tailored intervention to prevent excessive weight gain in adolescents
ISRCTN15743786
Predictors of the Intention to Prevent Excessive Weight Gain in Youth
A small majority of adolescents had a positive intention to prevent gaining excessive weight. A positive attitude and higher perceived internal control were related to a positive intention
Process evaluation of FATaintPHAT, a computer-tailored intervention to prevent excessive weight gain among Dutch adolescents
UNLABELLED: Process evaluations can help us to better interpret intervention effects and provide guidance in improving interventions. This study describes the use and appreciation of FATaintPHAT, a computer-tailored intervention to prevent excessive weight gain in adolescents and link these data to the intervention effects. Use and appreciation were assessed among students (12-13 years old) from the intervention group of the FATaintPHAT evaluatio…
Differential effects of the computer-tailored FATaintPHAT programme on dietary behaviours according to sociodemographic, cognitive and home environmental factors
Objective To explore whether the effects on dietary behaviours of a computer-tailored intervention aimed to prevent excessive weight gain among adolescents, FATaintPHAT, were moderated by sociodemographic, cognitive and home environmental factors. Design A two-group cluster randomized trial. Potential moderation of the outcome measures (consumption of sugar-sweetened beverages, snacks, fruits and vegetables) was studied by gender, education level…
Cancer survivors not participating in observational patient-reported outcome studies have a lower survival compared to participants: The population-based PROFILES registry
Cancer survivors not participating in observational PROs research significantly differ from participants, with respect to socio-demographic and clinical characteristics, and survival. Their HRQoL scores may be systematically lower compared to participants. Therefore, even in PRO studies with relatively high participation rates, observed outcomes may represent the healthier patient with better outcomes
Survivorship care plans have a negative impact on long-term quality of life and anxiety through more threatening illness perceptions in gynecological cancer patients: The Rogy care trial
Current results show that SCPs may have negative effects on HRQoL and anxiety in patients who experience more threatening illness perceptions due to the SCP. We should be aware of the potential negative consequences of SCPs. Trial Registration clinicaltrials.gov Identifier: NCT01185626
Development of a prediction model for clinically-relevant fatigue: A multi-cancer approach
Although the models' discrimination was good, the low balanced accuracy and poor calibration in the presence of CRF indicates a relatively high likelihood of underdiagnosis of future CRF. Yet, the clinical applicability of the model remains uncertain. The logistic regression performed better than the ML-based models and was robust across cohorts, suggesting an advantage of simpler models to predict CRF
Predicting health-related quality of life two years post-diagnosis across seven cancer types: Using machine learning to identify vulnerable patients
The predictors used in this analysis explained only 30% of the variation in long-term HRQoL. Similar to previous studies predicting HRQoL in cancer, these predictors miss crucial information. Baseline functioning, comorbidities, cancer type and BMI appeared to be the key vulnerability factors. Future studies should prioritize accurate prediction of low HRQoL scores
Medicine (7 works) · Internal Medicine (5 works) · Nursing (5 works) · Cancer survivorship and care (4 works) · Psychology (4 works) · Public health (4 works) · Behavioral Health and Interventions (3 works) · Cancer (3 works) · Environmental health (3 works) · Obesity, Physical Activity, Diet (3 works)