Journal Article
Meta-Analysis
Research Support, Non-U.S. Gov't
Add like
Add dislike
Add to saved papers

Are we overestimating the prevalence of depression in chronic illness using questionnaires? Meta-analytic evidence in obstructive sleep apnoea.

INTRODUCTION: Depression is common in chronic illness, albeit prevalence can be highly variable. This variability may be a function of symptom overlap between depression and chronic illness. Using Obstructive Sleep Apnoea (OSA) as an exemplar, this meta-analysis explored whether the proportion of overlapping symptoms between OSA and depression, within different depression questionnaires, moderates prevalence estimates.

METHODS: A systematic search identified 13 studies meeting eligibility criteria.

RESULTS: Based on depression questionnaires, the prevalence of depression in OSA ranged from 8% to 68%, reflecting marked heterogeneity. Prevalence estimates based on questionnaires with greater symptom overlap between OSA and depression were higher, whereas questionnaires with a higher proportion of anhedonia symptoms were associated with lower prevalence estimates.

DISCUSSION: Overall, these data suggest that when using depression questionnaires to assess the prevalence of depression in OSA, questionnaires that have a lower proportion of symptom overlap between OSA and depression, as well as a higher proportion of anhedonia symptoms, reduce the likelihood of overestimating the prevalence of depression in OSA. This study has implications for other chronic illnesses with symptom overlap with depression, for example diabetes, chronic kidney disease, or heart disease, as well as suggesting that depression questionnaires are not equally appropriate for assessing depression symptomatology in chronic illness populations.

Full text links

We have located links that may give you full text access.
Can't access the paper?
Try logging in through your university/institutional subscription. For a smoother one-click institutional access experience, please use our mobile app.

Related Resources

For the best experience, use the Read mobile app

Mobile app image

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app

All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.

By using this service, you agree to our terms of use and privacy policy.

Your Privacy Choices Toggle icon

You can now claim free CME credits for this literature searchClaim now

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app