OBJECTIVE: The aim of this study was to develop an index for oral hygiene behavior (OHB) and to examine potential predictors of this actual behavior based on the theory of planned behavior (TPB). Measures of oral health knowledge (OHK) and the expected effect of having healthy teeth on social relationships were included too.MATERIAL AND METHODS: Using an Internet questionnaire, 487 participants were asked about actual OHB, attitudes (ATT), social norms (SN), perceived behavioral control (PBC), OHK, and expected social outcomes (ESO). Based on a Delphi method involving oral health professionals, a new index for OHB was developed, including tooth brushing, interdental cleaning, and tongue cleaning.RESULTS: Regression analysis revealed that the TPB variables (ATT, SN, and PBC) and OHK explained 32.3% of the variance in self-reported OHB.CONCLUSION: The present findings indicate that socio-psychological consequences play a role in oral health care.
The hospitality industry contributes significantly to global climate change through its high resource consumption and emissions due to travel. As public pressure for hotels to develop sustainability initiatives to mitigate their footprint grows, a lack of understanding of green behavior and consumption of hotel guests hinders the adoption of effective programs. Most tourism research thus far has focused on the ecotourism segment, rather than the general population of travelers, and while research in consumer behavior shows that locus of control (LOC) and guilt can influence guests’ environmental behavior, those factors have not been tested with consideration of the subjective norm to measure their interaction and effect on recycling behavior. This study first examines the importance of internal and external LOC on factors for selecting hotel accommodation and the extent of agreement about hotel practices and, second, examines the differences in recycling behavior among guests with internal versus external LOC under levels of positive versus negative subjective norms and feelings of low versus high guilt.
MULTIFILE
Introduction: Hardly any research exists on the relationship between substance use and sexual behaviors in patients with a substance use disorder. This study aimed to examine this relation by looking into perceived positive effects on sexual behavior, perceived negative effects and risky sexual behavior due to substance use in patient groups of users of alcohol, stimulants, sedatives and Gamma hydroxybutyrate (GHB). In addition, the current study aimed to address the question whether sexual behavior (e.g. number of sexual partners, sexualactivity) differs between these patient groups.Method: A total of 180 patients with a substance use disorder (i.e. alcohol, amphetamine, cannabis, cocaine, GHB and opiates) participated. A self-report questionnaire was administered with questions on substance use,sexual behaviors (e.g. sexual activity, masturbation, use of pornography) and statements about the perceived changes in sexual functioning and behavior under influence of the primary substance of abuse.Results: All four groups reported changes in sexual thoughts, feelings and behavior due to the use of their primary substance. More than half of the patients reported enhancements in sexual domains (i.e. sexual pleasure,sexual arousal, sexual behavior), but also decrements or risky behaviors and about a quarter stated that their sexual thoughts, feelings and behaviors were often associated with the use of their primary substance of abuse.Patients with a GHB use disorder reported the strongest relation between drug use and sexual behavior. Users of HB not only reported more enhancement in several sexual domains, but also less decline in sexual domains compared to the other patient groups and more risky behavior or more sexual activity than some of the other groups of patients.Conclusions: The results underline the importance of addressing the relationship between substance use and sexual behavior in treatment programs, as patients may be hesitant to stop their use of substances when they experience many positive effects in their sexual behavior. Future research directions are suggested.
E-cycling intelligence is a research project directly connected to the PhD-research of Joost de Kruijf at the Utrecht University. Within the program the effects of the introduction of e-bikes in daily commuting are being investigated. Using a large-scale incentive program targeting on behavioral change among car-oriented commuters the next four specific components are being :- Modal shift to e-cycling- Well-being and travel satisfaction of e-bikes vs. car- Weather circumstances and e-cycling- Behavioral intention to e-bike vs. actual behavior Using a combination of three surveys (baseline, one month and half a year) and continuous GPS-measurement on the behavior of more than 800 participants makes this research unique. In collaboration with the TU/e the GPS-dataset is being translated into relevant information on modal shift on different trip purposes offering a new range of possibilities to analyses behavioral change. Knowledge on every of the four topics in the project is translated scientific paper. The expected end of the project is July 2021.With the research not new insights are being gained, the Breda University of Applied Sciences also develops a scientific network of cycling related researchers together with a network of cycling engaged road authorities.
While the creation of an energy deficit (ED) is required for weight loss, it is well documented that actual weight loss is generally lower than what expected based on the initially imposed ED, a result of adaptive mechanisms that are oppose to initial ED to result in energy balance at a lower set-point. In addition to leading to plateauing weight loss, these adaptive responses have also been implicated in weight regain and weight cycling (add consequences). Adaptions occur both on the intake side, leading to a hyperphagic state in which food intake is favored (elevated levels of hunger, appetite, cravings etc.), as well as on the expenditure side, as adaptive thermogenesis reduces energy expenditure through compensatory reductions in resting metabolic rate (RMR), non-exercise activity expenditure (NEAT) and the thermic effect of food (TEF). Two strategies that have been utilized to improve weight loss outcomes include increasing dietary protein content and increasing energy flux during weight loss. Preliminary data from our group and others demonstrate that both approaches - especially when combined - have the capacity to reduce the hyperphagic response and attenuate reductions in energy expenditure, thereby minimizing the adaptive mechanisms implicated in plateauing weight loss, weight regain and weight cycling. Past research has largely focused on one specific component of energy balance (e.g. hunger or RMR) rather than assessing the impact of these strategies on all components of energy balance. Given that all components of energy balance are strongly connected with each other and therefore can potentially negate beneficial impacts on one specific component, the primary objective of this application is to use a comprehensive approach that integrates all components of energy balance to quantify the changes in response to a high protein and high energy flux, alone and in combination, during weight loss (Fig 1). Our central hypothesis is that a combination of high protein intake and high energy flux will be most effective at minimizing both metabolic and behavioral adaptations in several components of energy balance such that the hyperphagic state and adaptive thermogenesis are attenuated to lead to superior weight loss results and long-term weight maintenance.
Smart office buildings are expected to incorporate user preferences, business objectives, and sustainability goals simultaneously in building operations. Furthermore, they are expected to provide comfortable, flexible and energy efficient working environment to its owners and users. Smart working environments with various implemented technologies affect the work style and user behavior. It changes how people use the office environment compared to traditional office environments. The success of a new smart technology largely depends on the user satisfaction of the office workers, which has not been studied until so far mostly due to the lack of sufficient data. Accordingly, the main objective of this research is to reveal what the significant aspects are for a successful adaptation of smart technologies in the office environment. Therefore, the case of "Stadhuistoren" which is one of the newest smart office building of the Municipality of Eindhoven is studied for which both user satisfaction data, as well as smart system control data, are collected. The smart system is a typical example of an innovative induvial climate control system, newly implemented in the Stadhuistoren. Finally, in this research, it is expected to reveal how user satisfaction is affected by smart technologies in offices for the future. The research method and the findings can be used as input for the implementation of other smart technologies in future smart offices.
