The assumption that greening urban spaces automatically translates into measurable mental health gains for nearby residents deserves serious scrutiny — and this large Scottish natural experiment provides some of the most rigorous evidence yet to challenge that optimism. Using prescription records as a proxy for depression and anxiety burden across 129,335 adults, this study had the statistical power and longitudinal design to detect even modest benefits of woodland improvements in disadvantaged communities.
The Woods In And Around Town (WIAT) programme, funded by Scottish Forestry, upgraded urban woodland sites with the explicit goal of making them safer and more accessible, particularly in lower-income areas. Researchers linked residential histories from the Scottish Longitudinal Study with NHS Scotland prescription data for antidepressants and anxiolytics between 2012 and 2016, then used random-effects models to compare both between-individual and within-individual changes in woodland exposure. In cross-sectional analysis, living within 800 metres of an improved woodland was actually associated with a modestly elevated odds of antidepressant prescription (aOR 1.10, 95% CI 1.03–1.20), though the critical longitudinal within-person analysis — the more causally informative test — showed no statistically significant change in prescription risk following woodland improvement.
This finding sits in productive tension with a broader body of green-space literature that, while generally positive, has been criticized for relying on cross-sectional designs and self-reported outcomes. The slightly elevated antidepressant risk in the cross-sectional arm here likely reflects selection: people with poorer mental health may cluster in urban areas where woodland improvement programmes are targeted. The within-individual null result is the more credible signal, suggesting that passive proximity to improved woodland — without accompanying behaviour change or active use — may not be sufficient to shift prescription rates. Key limitations include that prescription data captures only treated illness, not wellbeing more broadly, and the five-year window may be too short for population-level shifts. This is an important incremental finding that should temper policy overconfidence while still leaving room for longer-term or use-focused green-space interventions.
