
Freddie LymeusUppsala University | UU · Institute for Housing and Urban Research
Freddie Lymeus
PhD
Research and teaching in nature, health and sustainability
About
16
Publications
10,940
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529
Citations
Introduction
Health psychology, environmental psychology, performance, health, sustainability, stress, restoration, skills, training, restorative environment, occupational health, meditation, mindfulness, acceptance, nature, greenspace, park, urban psychology, field experiment, true experiment, observation study, cognitive testing, attention, attention training, psychophysiology, conditional process analysis, mediation, moderation, teaching, education, professional development, professional skills.
Additional affiliations
April 2012 - present
Education
April 2012 - November 2019
January 2003 - April 2008
Publications
Publications (16)
Nature-based solutions including urban forests and wetlands can help communities cope better with climate change and other environmental stressors by enhancing social-ecological resilience. Natural ecosystems, settings, elements and affordances can also help individuals become more resilient to various stressors, although the mechanisms underpinnin...
Mindfulness courses conventionally use effortful, focused meditation to train attention. In contrast, natural settings can effortlessly support state mindfulness and restore depleted attention resources, which could facilitate meditation. We performed two studies that compared conventional training with restoration skills training (ReST) that taugh...
The setting matters in meditation, but most research has neglected it. Many mindfulness-based health interventions emphasize effortful attention training exercises in sparsely furnished indoor settings. However, many beginners with attention regulation problems struggle with the exercises and drop out. In contrast, restoration skills training (ReST...
Restoration skills training (ReST) is a mindfulness-based course in which participants draw support from a natural practice setting while they learn to meditate. Well-established conventional mindfulness training (CMT) can improve psychological functioning but many perceive it as demanding and fail to sustain practice habits. Applying non-inferiori...
This commentary complements Macaulay et al.'s thoughtful and valuable perspective by attending to some additional matters of theoretical, ethical, and practical importance. First, I argue for how consideration of multiple levels of complementarity between processes in mindfulness and nature experience allow more powerful integrations than building...
Mindfulness training is often promoted as a method to train cognitive functions and has shown such effects in previous studies. However, many conventional mindfulness exercises for beginners require cognitive effort, which may be prohibitive for some, particularly for people who have more pronounced cognitive problems to begin with. An alternative...
In this chapter, the authors consider how research on restorative environments can augment research on salutogenesis by calling attention to the dynamics of depletion and renewal of resources needed for the maintenance and promotion of health and well-being and by showing how the sociophysical environment comes into play in people’s ongoing efforts...
This report was produced by PBM Sweden AB, and commissioned by the Swedish Environmental Protection Agency (EPA). It was directed by an April 2020 brief from the One Planet network, called Nudging for Oceans: Reduced plastic litter and microplastics. |
Mismanaged plastics are a growing environmental challenge of global concern. Large quantities a...
Restoration skills training (ReST) is a mindfulness-based course that draws on restorative nature experience to facilitate the meditation practice and teach widely applicable adaptation skills. Previous studies comparing ReST to conventional mindfulness training (CMT) showed that ReST has important advantages: it supports beginning meditators in co...
This thesis integrates restorative environments research and mindfulness research: two disparate but related approaches to managing the demands of modern living. Both offer ways to improve attention regulation by detaching from routine mental contents and engaging with present experience. However, restoration works bottom-up, from supportive enviro...
This in-depth survey of salutogenesis shows the breadth and strengths of this innovative perspective on health promotion, health care, and wellness. Background and historical chapters trace the development of the salutogenic model of health, and flesh out the central concepts, most notably generalized resistance resources and the sense of coherence...
Mindfulness involves curious and detached attention to present experience. Long-term mindfulness practice can improve attentional control capabilities, but practice sessions may initially deplete attentional resources as beginners struggle to learn skills and manage distractions. Without using skills or effort, people can have mindful experiences i...
Questions
Question (1)
I have a somewhat unusual study design where I need some advice on power calculation.
Between subjects, I have:
Exposure A
Exposure B
Exposure A+B
And I have measures obtained before and after exposure.
Now, this could be treated as a 3x2 design which gives a numerator df = 2. But that seems inefficient and I need to answer my research question with as few participants as possible. One could instead see it as two between subjects factors - exposure A (yes/no) and exposure B (yes/no) - which gives a numerator df = 1 and hence should allow inference based on a smaller sample. As I understand it, this option will essentially equal an approach where the effect of each between subjects factor is tested controlling for the effect of the other. I'm only interested in the main effects of the between subjects factors and the two-way between x within interactions. When I run preliminary analyses (RM ANOVA in SPSS) on the small set of data I have so far, these seem to yield the same test statistics for the effects of concern regardless of whether I enter Exposure B as a second between subjects factor or as a covariate.
I use G*Power for power calculations but there I can only specify the between subjects design in terms of the number of groups, as with the 3(between)x2(within) option. To get a power estimate for a 1df between subjects design I have to enter that I have 2 groups, corresponding to the case where Exposure B is treated as a covariate in a 2(between)x2(within) design. But then I have no way to consider the impact on power of the "covariate"? Is there a more appropriate way to estimate power for this analytic approach?
I will be very grateful for any thoughts on this!