Freeman Sheaves Goodwin 2017

Participants were eligible if they were attending university; had a positive screen for insomnia, as indicated by a score of 16 or lower on the Sleep Condition Indicator (SCI);16 and were 18 years or older.

People could take part if they were university students, at least 18 years old, and showed signs of insomnia. This was measured by getting a score of 16 or less on the sleep condition indicator (SCI).

Sleep problems are a common occurrence in patients with mental health disorders. The traditional view is that disrupted sleep is a symptom, consequence, or non specific epiphenomenon of the disorders; the clinical result is that the treatment of sleep problems is given a low priority.

Many patients with mental health disorders experience sleep problems. These
are often seen as just a symptom or side effect of the disorder, which is why
managing sleep issues is usually not given much attention in treatment.

The sample was predominately female, studying for their first university degree, and two-thirds were of white British ethnicity (table 1).

The participants were mostly female in their first university degree, most of them were of white British origin.

The effects on anxiety and depression are consistent with the results of a meta-analysis.33 Participants who received the sleep treatment in the trial were less likely to report symptoms at a level that met criteria for ultra-high risk of psychosis, depression, or anxiety disorder.

Participants who received the sleep treatment were less likely to show symptoms of psychosis, depression, or anxiety, which agrees with the findings of previous studies.

A
future research should be done in a different environment and the participants
should include older individual s, as university students a re within a specific age
bracke t I u nd erstand that it was ment ioned in the research paper how reviews
from other articles were used to compare different age range s , however, the
research should look into other populations and rely it findings on clinical
interviews

One part I found diffic ult was interpreting the results section, especially how the authors
connected the statistical findings to real world clinical outcomes. While I understood the
numbers presented in the tables, it was not always clear to me how these results
translated into meaningful conclusions about patient health. Considering that it was a
self report questionnaires and not clinical interviews