Work characteristics and determinants of job satisfaction in four age groups: university employees’ point of view

Contains fulltext : 79843.pdf (publisher's version ) (Closed access)PURPOSE: To investigate (a) differences in work characteristics and (b) determinants of job satisfaction among employees in different age groups. METHODS: A cross-sectional questionnaire was filled in by 1,112 university employees, classified into four age groups. (a) Work characteristics were analysed with ANOVA while adjusting for sex and job classification. (b) Job satisfaction was regressed against job demands and job resources adapted from the Job Demands-Resources model. Results : Statistically significant differences concerning work characteristics between age groups are present, but rather small. Regression analyses revealed that negative association of the job demands workload and conflicts at work with job satisfaction faded by adding job resources. Job resources were most correlated with more job satisfaction, especially more skill discretion and more relations with colleagues. CONCLUSIONS: Skill discretion and relations with colleagues are major determinants of job satisfaction. However, attention should also be given to conflicts at work, support from supervisor and opportunities for further education, because the mean scores of these work characteristics were disappointing in almost all age groups. The latter two characteristics were found to be associated significantly to job satisfaction in older workers

Current approaches to gene regulatory network modelling

Many different approaches have been developed to model and simulate gene regulatory networks. We proposed the following categories for gene regulatory network models: network parts lists, network topology models, network control logic models, and dynamic models. Here we will describe some examples for each of these categories. We will study the topology of gene regulatory networks in yeast in more detail, comparing a direct network derived from transcription factor binding data and an indirect network derived from genome-wide expression data in mutants. Regarding the network dynamics we briefly describe discrete and continuous approaches to network modelling, then describe a hybrid model called Finite State Linear Model and demonstrate that some simple network dynamics can be simulated in this model

Perspectives on Age and Continuing Professional Development for Nurses: A Literature Review

The need for nurses to participate in continuing professional development (CPD) is growing to keep abreast of rapid changes in nursing care. Concurrently, the nursing workforce is growing older. Ageing leads to changes in biological, psychological, and social functioning. Little is known about the effects of age-related changes on nurses’ CPD. A literature review was conducted to examine whether and how CPD differs across age groups. A framework with five perspectives on age was used in an attempt to distinguish factors contributing to these age differences. Given the limited research on this topic with respect to nurses, we also included studies of workers in general. The literature search revealed 27 relevant studies. In general, older workers appeared less likely to participate in CPD, when considering formal learning activities and late-career workers (older than 50/55 years). We found no clear age patterns for motivation to participate in CPD, for learning outcomes, and for participation in informal and non-formal learning activities. The study showed that more nuanced results are found when studies distinguish at least three age groups. By using different perspectives of age, a comprehensive overview of age-related factors in CPD was generated and gaps in current research were identified. Recommendations for further research are discussed, such as the need for research on whether the types of learning activities that nurses undertake change with ageing. Keywords: Continuing professional development, Age differences, Nurses, Older workers, Workplace learning, Literature revie