Discussions on policy and management initiatives to facilitate individuals throughout working careers take place without sufficient insight into how career paths are changing, how these changes are related to a modernization of life course biographies, and whether this leads to increased labour market transitions. This paper asks how new, flexible labour market patterns can best be analyzed using an empirical, quantitative approach. The data used are from the career module of the Panel Study of Belgian Households (PSBH). This module, completed by almost 4500 respondents consists of retrospective questions tracing lengthy and even entire working life histories. To establish any changes in career patterns over such extended periods of time, we compare two evolving methodologies: Optimal Matching Analysis (OMA) and Latent Class Regression Analysis (LCA). The analyses demonstrate that both methods show promising potential in discerning working life typologies and analyzing sequence trajectories. However, particularities of the methods demonstrate that not all research questions are suitable for each method. The OMA methodology is appropriate when the analysis concentrates on the labour market statuses and is well equipped to make clear and interpretable differentiations if there is relative stability in career paths during the period of observation but not if careers become less stable. Latent Class has the strength of adopting covariates in the clustering allowing for more historically connected types than the other methodology. The clustering is denser and the technique allows for more detailed model fitting controls than OMA. However, when incorporating covariates in a typology, the possibilities of using the typology in later, causal, analyses is somewhat reduced.
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We examined trajectories of multiple health risk behavior (MHRB) patterns throughout adolescence, and changes in mental health from childhood to young adulthood. Further, we assessed how continuity or onset of MHRBs overall were associated with subsequent changes in mental health, and whether this varied by type of MHRBs. We used six waves of the prospective Dutch TRAILS study (2001–2016; n =2229), covering ages 11 until 23. We measured MHRBs (substance use: alcohol misuse, cannabis use, smoking; and obesity-related: overweight, physical inactivity, irregular breakfast intake) at three time points during adolescence. We assessed mental health as Youth/Adult Self-report total problems at ages 11 and 23. Latent class growth analyses and ANOVA were used to examine longitudinal trajectories and associations. We identified six developmental trajectories for the total of MHRBs and mental health. Trajectories varied regarding likelihood of MHRBs throughout adolescence, mental health at baseline, and changes in mental health problems in young adulthood. We found no associations for the continuity of overall MHRBs throughout adolescence, and neither for early, mid- or late onset, with changes in mental health problems in young adult-hood. However, continuity of MHRBs in the obesity-related subgroup was significantly associated with an in-crease in mental health problems. Adolescents with the same MHRB patterns may, when reaching adulthood, have different levels of mental health problems, with mental health at age 11 being an important predictor. Further, involvement with obesity- related MHRBs continuously throughout adolescence is associated with increased mental health problems in young adulthood.
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OBJECTIVE: This work aims to gain insight into the long-term impact of depression course on social network size and perceived loneliness in older people living in the community. METHODS: Within a large representative sample of older people in the community (Longitudinal Aging Study Amsterdam (LASA)), participants with clinically relevant levels of depressive symptoms (scores >16 on the Center for Epidemiological Studies Depression Scale) were followed up over a period of 13 years of the LASA study (five waves). General estimating equations were used to estimate the impact of depression course on network size and loneliness and the interaction with gender and age. RESULTS: An unfavorable course of depression was found to be associated with smaller network sizes and higher levels of loneliness over time, especially in men and older participants. CONCLUSIONS: The findings of this study stress the importance of clinical attention to the negative consequences of chronicity in depressed older people. Clinicians should assess possible erosion of the social network over time and be aware of increased feelings of loneliness in this patient group.
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The ELSA AI lab Northern Netherlands (ELSA-NN) is committed to the promotion of healthy living, working and ageing. By investigating cultural, ethical, legal, socio-political, and psychological aspects of the use of AI in different decision-makingcontexts and integrating this knowledge into an online ELSA tool, ELSA-NN aims to contribute to knowledge about trustworthy human-centric AI and development and implementation of health technology innovations, including AI, in theNorthern region.The research in ELSA-NN will focus on developing and mapping ELSA knowledge around three general concepts of importance for the development, monitoring and implementation of trustworthy and human-centric AI: availability, use,and performance. These concepts will be explored in two lines of research: 1) use case research investigating the use of different AI applications with different types of data in different decision-making contexts at different time periods duringthe life course, and 2) an exploration among stakeholders in the Northern region of needs, knowledge, (digital) health literacy, attitudes and values concerning the use of AI in decision-making for healthy living, working and ageing. Specificfocus will be on investigating low social economic status (SES) perspectives, since health disparities between high and low SES groups are growing world-wide, including in the Northern region and existing health inequalities may increase with theintroduction and use of innovative health technologies such as AI.ELSA-NN will be integrated within the AI hub Northern-Netherlands, the Health Technology Research & Innovation Cluster (HTRIC) and the Data Science Center in Health (DASH). They offer a solid base and infrastructure for the ELSA-NNconsortium, which will be extended with additional partners, especially patient/citizens, private, governmental and researchrepresentatives, to have a quadruple-helix consortium. ELSA-NN will be set-up as a learning health system in which much attention will be paid to dialogue, communication and education.
communicative participation, language disordersOBJECTIVE(S)/RESEARCH QUESTION(S) Speech and language therapists (SLTs) are the primary care professionals to treat language and communication disorders. Their treatment is informed by a variety of outcome measures. At present, diagnosis, monitoring of progress and evaluation are often based on performance-based and clinician-reported outcomes such as results of standardized speech, language, voice, or communication tests. These tests typically aim to capture how well the person can produce or understand language in a controlled situation, and therefore only provide limited insight in the person’s challenges in life. Performance measures do not incorporate the unobservable feelings such as a patient's effort, social embarrassment, difficulty, or confidence in communication. Nor do they address language and communication difficulties experienced by the person themselves, the impact on daily life or allow patients to set goals related to their own needs and wishes. The aim of our study is give our patients a voice and empower SLTs to incorporate their patient's perspective in planning therapy. We will Aangemaakt door ProjectNet / Generated by ProjectNet: 08-12-2020 12:072Subsidieaanvraag_digitaal / Grant Application_digitaalDossier nummer / Dossier number: 80-86900-98-041DEFINITIEFdevelop a valid and reliable patient-reported outcome measure that provides information on communicative participation of people with communication disorders and integrate this item bank in patient specific goal setting in speech and language therapy. Both the item bank and the goal setting method will be adapted in cocreation with patients to enable access for people with communication difficulties.STUDY DESIGN Mixed methods research design following the MRC guidance for process evaluation of complex interventions, using PROMIS methodology including psychometric evaluation and an iterative user-centered design with qualitative co-creation methods to develop accessible items and the goal setting method.RESEARCH POPULATION Children, adolescents and adults with speech, language, hearing, and voice disorders.OUTCOME MEASURES An online patient-reported outcome measure on communicative participation, the Communicative Participation Item Bank (CPIB), CPIB items that are accessible for people with language understanding difficulties, a communicative-participation person-specific goal setting method developed with speech and language therapists and patients and tested on usability and feasibility in clinical practice, and a course for SLTs explaining the use of the goal-setting method in their clinical reasoning process.RELEVANCE This study answers one of the prioritized questions in the call for SLTs to systematically and reliably incorporate the clients’ perspective in their daily practice to improve the quality of SLT services. At present patient reported outcomes play only a small role in speech and language therapy because 1) measures (PROMS) are often invalid, not implemented and unsuitable for clinical practice and 2) there is a knowledge gap in how to capture and interpret outcomes from persons with language disorders.
Education for Sustainable Development (ESD) has the ambition to activate learners to engage in societal issues by exploring shifting perspectives on ourselves and our complex world. Educators across University of Applied Sciences (UAS) in the Netherlands are working hard to bring this ambition to life by implementing innovative pedagogies that emphasise transformative learning and empower students to take action to ignite societal transitions. However, both literature and practise have yet to establish educational assessment practise suited to ESD ambitions. This Comenius Teaching Fellow project proposes an innovation in the practise of sustainability education by developing an assessment format crucial to the constructive alignment in ESD. Assessment formats will be prototyped within the transformative course Creating Impact at Breda University of Applied Sciences resulting in two main products: (1) innovative assessment format for Creating Impact, including Implementation Toolkit and (2) a generic Design Toolkit ESD Assessment. The products are directly developed for the outlined context, but contribute to the increased capacity of UAS educators more broadly to embed ESD in educational practise. Future educational forms addressing societal challenges must take into account all aspects of educational design, including assessment, to ensure constructive alignment. By focusing on assessment in ESD, the outcomes of this project are an essential contribution to bridging the gap between ESD theory and educational practice, so that, in the words of the Vereniging Hogescholen, we educate our students to become professionals who help build a new, sustainable society
