Op 28 augustus 2014 heb ik een 'oral presentation' gegeven op het European Health Psychology Society congres te Innsbruck. De abstract van het artikel die ik gepresenteerd heb is gepubliceerd op de website van EHPS (zie bijgevoegd de link) The aim was to quantify the relationship between behavioural determinants and dental health behaviour among 9-18 year old children. Methods: Searches were conducted in PsycINFO, PubMed, CINAHL and EMBASE. In total 25 studies were included, which addressed 16 variables. A weighted average effect size correlation (WAES r) was calculated per determinant and dental health behaviour. According to Cohen (1988) effect sizes can be considered as small (r = 0.10), medium (r = 0.30) and large (r = 0.50). Findings: All WAES r’s were significant and revealed a positive relation between determinant and dental health behaviour. Large effects were found for coping planning and self-efficacy. Medium-to-large effects were found for the determinants: intention, affective attitude, and action planning. The WAES r was small-to-medium effects were found for: social norms, cognitive attitude, knowledge, parental oral health behaviour and parental cognitions. Discussion: Although the number of studies focusing on volitional factors are limited, the overall findings highlight the importance of volitional factors, rather than knowledge or motivational factors in explaining dental health behaviour. Refbacks There are currently no refbacks.
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(‘Co’-)Designing for healthy behaviour greatly benefits from integrating insights about individual behaviour and systemic influences. This study reports our experiences in using insights about individual and systemic determinants of behaviour to inform a large co-design project. To do so, we used two design tools that encourage focusing on individual determinants (Behavioural Lenses Approach) and social / systemic aspects of behaviour (Socionas). We performed a qualitative analysis to identify 1) when and how the team applied the design tools, and 2) how the tools supported or obstructed the design process. The results show that both tools had their distinctive uses during the process. Both tools improved the co-design process by deepening the conversations and underpinnings of the prototypes. Using the Behavioural Lenses under the guidance of a behavioural expert proved most beneficial. Furthermore, the Socionas showed the most potential when interacting with stakeholders, i.c. parents and PPTs.
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Equestrianism is currently facing a range of pressing challenges. These challenges, which are largely based on evolving attitudes to ethics and equine wellbeing, have consequences for the sport’s social licence to operate. The factors that may have contributed to the current situation include overarching societal trends, specific aspects of the equestrian sector, and factors rooted in human nature. If equestrianism is to flourish, it is evident that much needs to change, not the least,human behaviour. To this end, using established behaviour change frameworks that have been scientifically validated and are rooted in practice — most notably, Michie et al.’s COM-B model and Behaviour Change Wheel — could be of practical value for developing and implementing equine welfare strategies. This review summarises the theoretical underpinnings of some behaviour change frameworks and provides a practical, step-by-step approach to designing an effective behaviour change intervention. A real-world example is provided through the retrospective analysis of an intervention strategy that aimed to increase the use of learning theory in (educational) veterinary practice. We contend that the incorporation of effective behaviour change interventions into any equine welfare improvement strategy may help to safeguard the future of equestrianism.
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Background Anxiety and challenging behaviour (CB) often occur simultaneously in people with intellectual disabilities (ID). Understanding the associations between anxiety and CB may contribute to more accurate diagnoses and management of both anxiety and CB in this population. Aims To examine the relationship between anxiety and CB. Methods A literature review covering the period from January 2000 to January 2012. Results Seven studies about the relationship between psychiatric disorders, including anxiety, and CB were identified. These studies confirm the relationship between anxiety and CB in people with ID, although the precise nature of this relationship remains unclear. Conclusions The study points toward the existence of a moderate association between anxiety and CB. Further research is needed to clarify the complex nature of the association between anxiety and CB.
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Malnutrition is a serious and widespread health problem in community-dwelling older adults who receive care in hospital and at home. Hospital and home care nurses and nursing assistants have a key role in the delivery of high-quality multidisciplinary nutritional care. Nursing nutritional care in current practice, however, is still suboptimal, which impacts its quality and continuity. There appear to be at least two reasons for this. First, there is a lack of evidence for nutritional care interventions to be carried out by nurses. Second, there are several factors, that influence nurses’ and nursing assistants’ current behaviour, such as lack of knowledge, moderate awareness of the importance and neutral attitudes. This results in a lack of attention towards nutritional care. Therefore, there is a need to generate more evidence and to focus on targeting the factors that influence nurses’ and nursing assistants’ current behaviour to eventually promote behaviour change. To increase the likelihood of successfully changing their behaviour, an evidence-based educational intervention is appropriate. This might lead to enhancing nutritional care and positively impact nutritional status, health and well-being of community-dwelling older adults. The general objectives of this thesis are: 1) To understand the current state of evidence regarding nutrition-related interventions and factors that influence current behaviour in nutritional care for older adults provided by hospital and home care nurses and nursing assistants to prevent and treat malnutrition. 2) To develop an educational intervention for hospital and home care nurses and nursing assistants to promote behaviour change by affecting factors that influence current behaviour in nutritional care for older adults and to describe the intervention development and feasibility.
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Specific approaches are needed to reach and support people with a lower socioeconomic position (SEP) to achieve healthier eating behaviours. There is a growing body of evidence suggesting that digital health tools exhibit potential to address these needs because of its specific features that enable application of various behaviour change techniques (BCTs). The aim of this scoping review is to identify the BCTs that are used in diet-related digital interventions targeted at people with a low SEP, and which of these BCTs coincide with improved eating behaviour. The systematic search was performed in 3 databases, using terms related to e/m-health, diet quality and socioeconomic position. A total of 17 full text papers were included. The average number of BCTs per intervention was 6.9 (ranged 3–15). BCTs from the cluster ‘Goals and planning’ were applied most often (25x), followed by the clusters ‘Shaping knowledge’ (18x) and ‘Natural consequences’ (18x). Other frequently applied BCT clusters were ‘Feedback and monitoring’ (15x) and ‘Comparison of behaviour’ (13x). Whereas some BCTs were frequently applied, such as goal setting, others were rarely used, such as social support. Most studies (n = 13) observed a positive effect of the intervention on eating behaviour (e.g. having breakfast) in the low SEP group, but this was not clearly associated with the number or type of applied BCTs. In conclusion, more intervention studies focused on people with a low SEP are needed to draw firm conclusions as to which BCTs are effective in improving their diet quality. Also, further research should investigate combinations of BCTs, the intervention design and context, and the use of multicomponent approaches. We encourage intervention developers and researchers to describe interventions more thoroughly, following the systematics of a behaviour change taxonomy, and to select BCTs knowingly.
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Objective. To study the prevalence, nature and determinants of aggression among inpatients with acquired brain injury. Background. Patients with acquired brain injury often have difficulty in controlling their aggressive impulses. Design. A prospective observational study design. Methods. By means of the Staff Observation Aggression Scale-Revised, the prevalence, nature and severity of aggressive behaviour of inpatients with acquired brain injury was assessed on a neuropsychiatric treatment ward with 45 beds. Additional data on patient-related variables were gathered from the patients’ files. Results. In total, 388 aggressive incidents were recorded over 17 weeks. Of a total of 57 patients included, 24 (42%) patients had engaged in aggressive behaviour on one or more occasions. A relatively small proportion of patients (n = 8; 14%) was found to be responsible for the majority of incidents (n = 332; 86%). The vast majority of aggression incidents (n = 270; 70%) were directly preceded by interactions between patients and nursing staff. In line with this, most incidents occurred at times of high contact intensity. Aggressive behaviour was associated with male gender, length of stay at the ward, legal status and hypoxia as the cause of brain injury. Conclusion. Aggression was found to be highly prevalent among inpatients with acquired brain injury. The results suggest that for the prevention of aggression on the ward, it may be highly effective to develop individually tailored interventions for the subgroup with serious aggression problems. Relevance to clinical practice. Insight into the frequency, nature and determinants of aggressive behaviour in inpatients with acquired brain injury provides nurses with tools for the prevention and treatment of aggressive behaviour.
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This open access book is a valuable resource for students in health and other professions and practicing professionals interested in supporting effective change in self-management behaviors in chronic disease, such as medication taking, physical activity and healthy eating. Developed under the auspices of the Train4Health project, funded by the Erasmus+ program of the European Union, the book contains six chapters written by international contributors from different disciplines. This chapter presents open-access educational products that supplement this book: case studies and a web application to simulate behaviour change support in persons with chronic disease. The former is of particular interest for academic educators, while the latter may interest students independently pursuing training outside the classroom. These products can also be useful for professionals aiming to enhance behaviour change competencies in practice. First, it addresses key aspects of product development, including hallmarks such as the incorporation of behaviour change science and transnational co-production with users. Then, the main features of case studies and the web application with 2D virtual humans are described.
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Increasingly aware of the importance of active lifestyles, many people intend to exercise more. One of the main challenges is to translate exercise intentions into actual exercise behaviour, the so-called intention-behaviour gap. To investigate barriers and enablers that affect this gap, we conducted a 7-day diary study with 16 women. Participants indicated what their exercise intentions and behaviour were per day, and whether and why they changed retrospectively during the day. Through the diary study, we gain insights into (i) the intention-behaviour interplay, and (ii) the experienced barriers and enablers that influence this interplay throughout the day. Based on the findings, we contribute new implications for design in supporting people translating their intentions into exercise behaviour. We propose three design concepts to illustrate underlying design opportunities. The focus is on positively influencing the interplay of enablers and barriers of exercising and how these can be addressed through design
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Background: Osteoarthritis is one of the most common chronic joint diseases, mostly affecting the knee or hip through pain, joint stiffness and decreased physical functioning in daily life. Regular physical activity (PA) can help preserve and improve physical functioning and reduce pain in patients with osteoarthritis. Interventions aiming to improve movement behaviour can be optimized by tailoring them to a patients' starting point; their current movement behaviour. Movement behaviour needs to be assessed in its full complexity, and therefore a multidimensional description is needed. Objectives: The aim of this study was to identify subgroups based on movement behaviour patterns in patients with hip and/or knee osteoarthritis who are eligible for a PA intervention. Second, differences between subgroups regarding Body Mass Index, sex, age, physical functioning, comorbidities, fatigue and pain were determined between subgroups. Methods: Baseline data of the clinical trial 'e-Exercise Osteoarthritis', collected in Dutch primary care physical therapy practices were analysed. Movement behaviour was assessed with ActiGraph GT3X and GT3X+ accelerometers. Groups with similar patterns were identified using a hierarchical cluster analysis, including six clustering variables indicating total time in and distribution of PA and sedentary behaviours. Differences in clinical characteristics between groups were assessed via Kruskall Wallis and Chi2 tests. Results: Accelerometer data, including all daily activities during 3 to 5 subsequent days, of 182 patients (average age 63 years) with hip and/or knee osteoarthritis were analysed. Four patterns were identified: inactive & sedentary, prolonged sedentary, light active and active. Physical functioning was less impaired in the group with the active pattern compared to the inactive & sedentary pattern. The group with the prolonged sedentary pattern experienced lower levels of pain and fatigue and higher levels of physical functioning compared to the light active and compared to the inactive & sedentary. Conclusions: Four subgroups with substantially different movement behaviour patterns and clinical characteristics can be identified in patients with osteoarthritis of the hip and/or knee. Knowledge about these subgroups can be used to personalize future movement behaviour interventions for this population.
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