License: Article 25fa pilot End User Agreement This publication is distributed under the terms of Article 25fa of the Dutch Copyright Act (Auteurswet) with explicit consent by the author. Dutch law entitles the maker of a short scientific work funded either wholly or partially by Dutch public funds to make that work publicly available for no consideration following a reasonable period of time after the work was first published, provided that clear reference is made to the source of the first publication of the work. This publication is distributed under The Association of Universities in the Netherlands (VSNU) 'Article 25fa implementation' pilot project. In this pilot research outputs of researchers employed by Dutch Universities that comply with the legal requirements of Article 25fa of the Dutch Copyright Act are distributed online and free of cost or other barriers in institutional repositories. Research outputs are distributed six months after their first online publication in the original published version and with proper attribution to the source of the original publication. You are permitted to download and use the publication for personal purposes. All rights remain with the author(s) and/or copyrights owner(s) of this work. Any use of the publication other than authorised under this licence or copyright law is prohibited. If you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating your reasons.

Procrastination is an increasingly prevalent phenomenon. Although research suggests smartphones might be involved, little is known about the momentary association between different patterns of smartphone use and procrastination. In a preregistered study, 221 students ( Mage = 20, 55% female) self-reported procrastination five times a day for 30 days (i.e., experience sampling method) while their smartphone use was continuously monitored (i.e., passive logging). Using dynamic structural equation modeling on 27,151 observations, we estimated momentary within-person associations between procrastination and (a) total smartphone use and use of specific application categories (social media, messaging, browsers, games, and video streaming), (b) notifications, and (c) smartphone use fragmentation. Procrastination was positively albeit weakly associated with all aforementioned patterns, and associations varied from person to person. Collectively, our findings suggest these popular devices potentially encourage dilatory behavior.

No abstract

No abstract

Background: Disentangling the impact of social media use on well-being is a priority for psychological research. Numerous studies suggest that active social media use (ASMU) enhances well-being, whereas passive social media use (PSMU) undermines it. However, such research has conducted group-level analyses, potentially obscuring individual differences. We examined person-centered relationships between SMU and depression symptoms by using a publicly available experience sampling dataset (Aalbers et al., 2019). Methods: Dutch undergraduate students (N = 125) reported PSMU, ASMU, and depression symptoms 7 times daily for 14 days. We (a) visualized interindividual variability in temporal associations between social media use and individual depression symptoms, (b) compared the aggregate network model to idiographic models, and (c) determined the distribution of person-specific temporal associations. Results: Overall, we found that associations between social media use and depression symptoms differed substantially from individual to individual in both strength and kind. In addition, PSMU and ASMU were very weakly to weakly associated with depression symptoms for most individuals. Conclusions: Studying idiographic relationships between social media use and depression may help us (1) determine which individuals are most at risk of experiencing elevated depression symptoms after using social media and (2) personalize therapeutic treatments to alleviate symptoms.