Abstract
Background
Climate change elicits a wide range of emotional and psychological responses, from anxiety and guilt to denial. Public and media discourse often present climate change distress and denial as opposing camps.
Objective
We move beyond this dichotomy by identifying clusters of climate change distress and denial in 1006 Dutch young adults (aged 16–35, 51.2% women, population-representative).
Methods
We measured four dimensions of climate change distress (eco-anxiety, eco-guilt, cognitive-emotional impairment, and functional impairment) and three dimensions of denial (of seriousness, personal impact, and impact elsewhere). Naturally occurring subgroups were identified using latent profile analysis. Profile differences in demographics, emotions, institutional trust, and coping strategies were examined using analysis of variance.
Findings
We identified six profiles: burdened worriers, unburdened worriers, climate change deniers, skeptic worriers, NIMBYs (Not-In-My-BackYard), and conflicted skeptics. Despite low average distress levels, about half of the sample reported moderate to high distress, alongside varying denial levels. High-distress profiles reported more hope and proactive coping, while denial-heavy profiles were linked to fatalism, lower institutional trust, and limited engagement. Profiles differed only minimally by gender, age, income, and living environment; education showed no differences.
Conclusions
By identifying six distinct patterns, this study moves beyond the activist–denier framing common in public discourse, showing that climate change distress and denial coexist in complex ways among Dutch youth. Future research should examine the stability of these profiles and include additional dimensions, such as ecological grief.
Climate change elicits a wide range of emotional and psychological responses, from anxiety and guilt to denial. Public and media discourse often present climate change distress and denial as opposing camps.
Objective
We move beyond this dichotomy by identifying clusters of climate change distress and denial in 1006 Dutch young adults (aged 16–35, 51.2% women, population-representative).
Methods
We measured four dimensions of climate change distress (eco-anxiety, eco-guilt, cognitive-emotional impairment, and functional impairment) and three dimensions of denial (of seriousness, personal impact, and impact elsewhere). Naturally occurring subgroups were identified using latent profile analysis. Profile differences in demographics, emotions, institutional trust, and coping strategies were examined using analysis of variance.
Findings
We identified six profiles: burdened worriers, unburdened worriers, climate change deniers, skeptic worriers, NIMBYs (Not-In-My-BackYard), and conflicted skeptics. Despite low average distress levels, about half of the sample reported moderate to high distress, alongside varying denial levels. High-distress profiles reported more hope and proactive coping, while denial-heavy profiles were linked to fatalism, lower institutional trust, and limited engagement. Profiles differed only minimally by gender, age, income, and living environment; education showed no differences.
Conclusions
By identifying six distinct patterns, this study moves beyond the activist–denier framing common in public discourse, showing that climate change distress and denial coexist in complex ways among Dutch youth. Future research should examine the stability of these profiles and include additional dimensions, such as ecological grief.
| Original language | English |
|---|---|
| Article number | 102969 |
| Pages (from-to) | 1-16 |
| Number of pages | 16 |
| Journal | Journal of Environmental Psychology |
| Volume | 110 |
| Early online date | 28 Feb 2026 |
| DOIs | |
| Publication status | Published - Mar 2026 |
Bibliographical note
Publisher Copyright:© 2026 The Authors
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 13 Climate Action
Keywords
- Climate change denial
- Coping strategies
- Emotional responses
- Environmental distress
- Latent profile analysis (LPA)
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