A UK lockdown study found average anxiety and depression scores declined, while worries, support, age, gender, and prior health problems marked uneven risk.
The paper Longitudinal Study of Anxiety and Depression During COVID-19 Lockdown: A Secondary Data Analysis tracked change. Distress fell overall. Not everyone followed that path.
Quick summary
- What the study found: In a longitudinal analysis of 1,958 participants, anxiety and depression scores reduced across three time points during UK lockdown.
- Why it matters: The results suggest many people adapted, while lower perceived social support and stronger COVID-19 worries were linked with higher scores.
- What to be careful about: These are observational associations. Anxiety and depression scores are not the same as clinical diagnoses, and lockdown was an unusual context.
Average distress declined across the three time points
The study used latent growth modelling, a statistical method for estimating how scores change over time. It analysed secondary data, meaning the researchers used data already collected for another purpose.
Across the full sample, average anxiety and depression ratings went down over the three measured points. That does not mean every participant improved, but it describes the overall trajectory.
The abstract also identifies female gender, younger age, and previous physical or mental health problems as markers connected with different anxiety and depression trajectories.
The pattern points to adaptation, not equal experience
The most practical interpretation is adaptation. During a major disruption, distress can spike or stay high for some people, while others adjust as routines, expectations, and coping patterns settle.
The paper suggests this happened at the population level in its UK sample. At the same time, it shows why averages can hide important differences between groups.
Support and worry showed up in everyday ways
Perceived social support means how supported a person feels, not simply how many people they know. In everyday life, that can include dependable contact, practical help, or feeling understood.
COVID-19 worries were also associated with higher anxiety and depression scores. Worry here is not a character flaw; it is a mental load that can track with uncertainty and threat.
This matters beyond lockdown. During any prolonged disruption, people may differ in how much reassurance, contact, and clear information they have available.
Read the results as signals, not diagnoses
Readers should not turn these findings into self-diagnosis. A questionnaire score can reflect symptoms or distress, but it is not the same as a professional mental health assessment.
The study also should not be read as proving that social support reduces anxiety or depression. It shows lower perceived support was linked with higher scores across the measured points.
A safer takeaway is relational and practical: notice who has fewer buffers during disruption, especially people matching the study’s vulnerability markers of female gender, younger age, and previous health problems.
What remains unclear after this lockdown study
The abstract does not describe the exact measures, recruitment route, timing between assessments, or size of changes. Those details matter for judging how large and generalisable the effects are.
The UK lockdown context also limits direct transfer to normal life. Still, the study gives a useful pattern: people can adapt overall while vulnerable groups remain under heavier emotional strain.
The clearest message is balanced. Average anxiety and depression scores fell, but social support, specific worries, age, gender, and prior health problems shaped who carried more risk.