Sensitive parenting is important for promoting the parent-child relationship and children’s emotional, cognitive, and social development. Parental factors related to sensitive parenting are...Show moreSensitive parenting is important for promoting the parent-child relationship and children’s emotional, cognitive, and social development. Parental factors related to sensitive parenting are depression and parental self-efficacy. The aim of this study was to explore the relationship between depression and sensitive parenting, and whether parental self-efficacy mediates this association. Participants were 17 Dutch mothers and 4 Dutch fathers of children aged 3-5 years. Parents played 5-10 minutes with their child during two measurement moments, while the researcher was present through a Microsoft Teams connection. A video of the playing was recorded. In between the two measurement moments, parents completed the Center for Epidemiologic Studies Depression-questionnaire (CES-D) and the Me as a Parent-questionnaire (MaaP). Afterwards, the video recordings were encoded according to the Ainsworth sensitivity scale. Only the relation between depression and sensitivity was significant, where depression was positively related to sensitivity. There was no indication found for a mediational role of parental self-efficacy in the relation between depression and sensitivity. Explanatory theories, limitations and practical implications were discussed. Future research will have to show which other factors can explain these unexpected findings.Show less
Research master thesis | Developmental Psychopathology in Education and Child Studies (research) (MSc)
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Both youth with a substance use disorder (SUD) and youth who have experienced adverse childhood experiences (ACEs) show heightened vulnerability to psychopathology. We aimed to quantify the risk of...Show moreBoth youth with a substance use disorder (SUD) and youth who have experienced adverse childhood experiences (ACEs) show heightened vulnerability to psychopathology. We aimed to quantify the risk of comorbid disorders in SUD youth with ACE-history. Additionally, we aimed to examine relations between ACEs, overall household experience, and general distress. We used cross-sectional YIT-study data from interviews with Dutch youth (aged 16-22) upon SUD treatment entry for cannabis, alcohol, or stimulant use. We measured ACE-types experienced up until 15 years of age, past-year DSM-5 disorders, general distress (DASS-21), and overall household experience rating. Logistic regressions quantified relations between ACE sum score and anxiety, depressive, behavior, and any disorder. Higher ACE sum scores related to increased risks for a(n) anxiety (OR = 1.12, highest odds = 2.84; χ2(1) = 6.71, p < .010; Nagelkerke R2 = 0.2), depressive (OR = 1.21, highest odds = 5.43; χ2(1) = 18.11, p < .001; Nagelkerke R2 = 0.6), behavior (OR = 1.20, highest odds = 5.24; χ2(1) = 17.41, p < .001; Nagelkerke R2 = 0.6), and any (OR = 1.25, highest odds = 7.58; χ2(1) = 17.26, p < .001; Nagelkerke R2 = 0.7) disorder. Exploratory analyses revealed that frequency of parental fighting, being hit/abused, getting belittled, emotional neglect, physical neglect, insufficient household income, long parental sickness, and overall household experience positively related to DASS-21. In a hierarchical regression analysis with all ACEs and overall household experience, only emotional neglect related to DASS-21 (B = 3.68, t(373) = 2.41, p = .017). Overall household experience did not improve the model (F(12) = 3.51, p < .001; R2change < .001). In hierarchical regression analyses containing ACE sum score and overall household experience, overall household experience was not uniquely related to DASS-21 (t = -0.22, p = .824; R2change < .01). In conclusion, ACEs relate to comorbid disorders in SUD youth. Our exploratory research suggests that ACE frequency might influence this relation, while overall household experience does not further explain this relation. Further research should investigate which ACE measures (a.o., type, frequency) strongly relate to SUDs and psychopathology and examine improved treatment options.Show less
Problematic behaviour remains a problem within healthcare of individuals with dementia, especially as its patient group is set to expand. Problematic behaviour is often caused by pain and places a...Show moreProblematic behaviour remains a problem within healthcare of individuals with dementia, especially as its patient group is set to expand. Problematic behaviour is often caused by pain and places a heavy burden on both professional and family caregivers. Especially since family caregivers are often overlooked as a factor in care. This study therefore investigates the effectiveness of the STA OP! method (SOM), a stepwise approach to address problematic behaviour and pain in individuals with dementia, as well as how the efficacy of SOM is moderated by family involvement. The study, conducted within the CARED-4 project, utilizes a quasi-experimental longitudinal design with measurements at baseline, 3 months, and 6 months after implementing SOM. It included 84 residents with dementia from 10 Dutch nursing homes units paired with their family caregivers. Problematic behaviour was examined using the Neuropsychiatric Inventory Questionnaire (NPI-Q) and family involvement was examined through a tailored questionnaire. Analysis was performed with RM Anova for problematic behaviour and family involvement and a general linear model for the moderation of SOM by family involvement. Results indicated that SOM effectively reduces problematic behaviour overall (F(2,55) = 3.81, p = 0.028), after 3 months (Mean Difference = 5.47 SE= 1.97, p = 0.007), but not after 6 months (Mean Difference = 5.70 SE = 3.36, p = 0.095). Family involvement did not change overall (F(1.62,30) = 2.12, p = 0.138). Accordingly, family involvement did not moderate the impact of SOM on problematic behaviour (F(2) = 1.43, p = 0.243). Despite methodological challenges mainly due to missing data, the study takes a first step towards understanding how the effectiveness of SOM interacts with family involvement. So, although family involvement did not moderate a significant reduction in problematic behaviour, the efficacy of SOM has further been established.Show less
In this research, we study the oxidation process of the Transition Metal Dichalcogenide (TMD) niobium diselenide, NbSe2. TMDs are a category of van der Waals materials, of which samples are...Show moreIn this research, we study the oxidation process of the Transition Metal Dichalcogenide (TMD) niobium diselenide, NbSe2. TMDs are a category of van der Waals materials, of which samples are obtained by exfoliation. The measurements are performed with the Low Energy Electron Microscope (LEEM), which measures reflectivity at different energy, resulting in the so-called IV curves. To analyze oxidation, we have developed a new method to obtain in situ exfoliated flakes in the LEEM set-up. First, we measure in situ cleaved NbSe2 flakes (bulk). The reflectivity upon adding (pure) oxygen is followed. Additionally, the reflectivity of ex situ cleaved NbSe2 flakes is assessed. Here, an intensity boundary between flake’s edge and center is recognized. The reflectivity measurements show that the electronic structure is different across the boundary: a V-shaped reflectivity minimum appears, which sharpens over time upon oxidation. The boundary is further researched with Atomic Force Microscopy and Energy Dispersive X-ray analysis. Additionally, we perform roughness analysis and Principal Component Analysis. The latter provides an alternative method to follow the change in electronic properties over time. We propose that already degraded NbSe2 flakes are more susceptible to oxidatin damage, compared to in situ exfoliated flakes. Upon further measurements, the in situ cleaved samples do not show any degradation signs, therefore we attribute the presence of an intensity contrast with the associated IV features, to oxidized NbSe2.Show less
Research shows that many students don’t have enough reading comprehension to understand texts. One way of improving students’ reading comprehension could be by providing feedback to students while...Show moreResearch shows that many students don’t have enough reading comprehension to understand texts. One way of improving students’ reading comprehension could be by providing feedback to students while they answer questions about a text. To use feedback efficiently in the future, it’s important to know how elaborate effective feedback should be. Considering this, the current study examined the relation between feedback and the use of reading strategies in general, and for the use of reading strategies while reading a text. Moreover, the relation between the amount of information provided in the feedback and the use of reading strategies was examined. Experimental data of 97 participants aged 10 and 11 years (52.6% boys, M = 10.45, SD = 0.52) was collected using questionnaires, namely the Metacognitive Awareness of Reading Strategies Inventory and the Task-Specific Strategy Self-Report. Participants were pre- and post-tested and had three intervention sessions. They were randomly assigned to a condition, namely no feedback, short feedback, or elaborate feedback. During the intervention sessions, participants had to read a text, and answer questions about the text. Depending on their condition, they either received feedback or not. If they did, the amount of information in the feedback differed. Every session ended with a questionnaire. Using SPSS, two repeated measures ANOVA were completed. According to the results, there was no relation between feedback and the use of reading strategies. Furthermore, no differences were found for the different amounts of information in feedback and the use of reading strategies. The biggest limitation of the current study was the lack of a motivational component in the used intervention. Therefore, future research should use motivation as part of the intervention to investigate if feedback could help in improving the use of reading strategies for youth aged 10 to 11.Show less
Insomnia is highly prevalent in patients with long-term medical conditions. Although fatigue is the most common daytime symptom of insomnia, it is still largely unknown which underlying components...Show moreInsomnia is highly prevalent in patients with long-term medical conditions. Although fatigue is the most common daytime symptom of insomnia, it is still largely unknown which underlying components are associated with fatigue in a broader population of insomnia patients. Previous literature stated that dysfunctional sleep-related beliefs (DSRB) and pre-sleep arousal (PSA) could explain the relationship between insomnia and fatigue. Additionally, subjective sleep characteristics, such as insomnia severity, number of nocturnal awakenings (NoA) and sleep efficiency might also be components of this relationship. This study aimed to investigate how these factors affect fatigue in a broad medical population with insomnia. It was hypothesized that more disturbed sleep-related psychological factors and subjective sleep characteristics were associated with increased fatigue. This cross-sectional study, derived from the ongoing TIMELAPSE study, consisted of 154 participants. Participants completed questionnaires assessing fatigue (Checklist Individual Strength-20), DSRB (Dysfunctional Beliefs and Attitudes about Sleep-16), PSA (Pre-Sleep Arousal Scale), and insomnia severity (Insomnia Severity Index). The Consensus Sleep Diary tracked NoA and sleep efficiency daily for one week. Two multiple regression analyses were performed to assess the relationship between sleep-related psychological factors (DSRB, PSA), subjective sleep characteristics (insomnia severity, NoA, sleep efficiency) and fatigue. Age, gender, and depression were included as controlling variables. Results showed that DSRB (β = .174, p = .027), PSA (β = -.160, p = .036), and insomnia severity (β = .243, p = .002) were factors associated with fatigue in insomnia patients. More severe DSRB and higher insomnia severity predicted elevated levels of fatigue. Contrary to expectations, PSA was negatively associated with fatigue. Lastly, NoA and sleep efficiency were not related to fatigue. This study uncovered connections between more severe DSRB, lower PSA, and higher insomnia severity that led to higher levels of fatigue. The current study suggests that improvements in DSRB and reducing insomnia severity may reduce fatigue of insomnia patients with long-term medical conditions. Sleep interventions should emphasize on challenging these DSRB. Future research is needed to examine the complex relationship between PSA and fatigue, as well as whether changes in DSRB during CBT-I treatment reduce fatigue symptoms in this population.Show less
The global prevalence of Alzheimer’s disease is expected to rise from 50 to 152 million cases by 2050 due to the limited availability of therapeutic and preventive strategies and ageing populations...Show moreThe global prevalence of Alzheimer’s disease is expected to rise from 50 to 152 million cases by 2050 due to the limited availability of therapeutic and preventive strategies and ageing populations. Although digital tools can address the growing gap between healthcare supply and demand, their implementation is difficult, and personal factors can influence individuals’ intention to use such tools. Thus, this study explores the relationship between various personal factors, as self-reported by healthy individuals (N = 507) who are part of a brain research registry, and their intention to use and promote using digital tools in the context of brain health and dementia. According to the hypothesis formulated for the research, higher financial scarcity, lower educational attainment, and lower employment status predict lower intention to use and promote digital tools for brain health. The study examined four distinct digital tools: (1) MijnBreincoach (a prevention tool), (2) cCog (a diagnostic tool), (3) ADappt (a patient- orchestrated care tool), and Neurokeys (a prediction tool). It was found that Neurokeys exhibited the highest score for intention to use but the lowest score for intention to promote. In addition, medium and high educational attainment predicted higher behavioral intention to use MijnBreincoach, while the most beneficial (i.e., most secure, stable, and safe) employment status predicted higher intention to promote MijnBreincoach and cCog. In conclusion, it is important to recognize differences in intention to use and promote different types of digital tools across potential users and the influence of personal characteristics on the intention to use and promote digital tools for brain health. During the development of a digital tool, it is recommended to consider which target audience would derive the greatest benefit from it and tailor it accordingly.Show less
