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Showing papers by "Trond Nordfjærn published in 2023"


Journal ArticleDOI
TL;DR: In this article , the impact of different parameters on promoting the role of cycling as a daily mode of transport was investigated and the main reasons for not using a bicycle in weekly trips were outlined.
Abstract: This paper aims to investigate the impact of different parameters on promoting the role of cycling as a daily mode of transport. In the first step of the analyses, binary logistic regression was used to examine the impact of different parameters on using or not using the bicycle as a transportation mode in weekly trips. Then by text mining, the main reasons for not using a bicycle in weekly trips are outlined. Finally, for those who use bicycles for at least one utilitarian trip a week, the effect of different factors on the popularity of this mode is investigated by structural equation modeling. Tehran, as a big city in the Middle East and North Africa (MENA) region, was considered as the case study. The results suggest that it is necessary to work on social norms about cycling, especially among those with higher education levels and income. Women use bicycles less than men and it is also necessary to rethink attitudes and regulations in relation to women cycling in Islamic countries. Bicycle promotion should aim to facilitate more positive attitudes among women. Providing more facilities such as safe bicycle paths, bicycle parking, and bike-sharing facilities have significant impacts on using this mode and its popularity. In highly congested cities, alongside facilitating cycling, it is important to set restrictions on private car use.

Journal ArticleDOI
TL;DR: In this article , a multivariable binary logistic regression analysis was used to test whether higher levels of interpersonal problems predict lower likelihood of return to work after long-term sick leave.
Abstract: Abstract Purpose: Current interventions designed to facilitate return to work (RTW) after long-term sick leave show weak effects, indicating the need for new approaches to the RTW process. The importance of social relationships in the workplace is widely recognized in existing RTW literature, but very little is known about the role of the interpersonal problems of the returning worker. Current research indicates that a subset of these – hostile-dominant interpersonal problems – give particular disadvantages in several life areas. This prospective cohort study aims to test whether higher levels of interpersonal problems predict lower likelihood of RTW when controlling for symptom levels (H1); and whether higher levels of hostile-dominant interpersonal problems specifically predict lower likelihood of RTW (H2). Methods: 189 patients on long-term sick leave completed a 3½-week transdiagnostic RTW program. Before treatment, self-reported interpersonal problems, chronic pain, insomnia, fatigue levels, anxiety and depression were collected. RTW data for the following year were collected from the Norwegian Labour and Welfare Administration. Results: A multivariable binary logistic regression analysis found that (H2) hostile-dominant interpersonal problems significantly predicted RTW (OR = 0.44, [95% CI: 0.19, 0.98], p = .045), while a corresponding analysis (H1) found that general interpersonal problems did not. Conclusion: Hostile-dominant interpersonal problems negatively predict RTW after long-term sick leave, suggesting an overlooked factor in the field of occupational rehabilitation. The findings could open up new avenues for research and interventions entailed to individuals in the field of occupational rehabilitation.