Evidence map›Paper›PMID 39051018›Full record

ArticlePsychology research and behavior management2024

Association of Physical Activity and Sleep Metrics with Depression in People with Type 1 Diabetes.

Abdullah Al-Ozairi, Mohammad Irshad, Husain Alsaraf, Jumana AlKandari, Ebaa Al-Ozairi, Stuart R Gray

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Article in Psychology research and behavior management, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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0cells of the map it votes in
5citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Abdullah Al-OzairiDepartment of Psychiatry, Faculty of Medicine, Kuwait University, Safat, Kuwait.ORCID 0000-0002-2343-830X
Mohammad IrshadDAFNE/Clinical Care Research & Trials Unit, Dasman Diabetes Institute, Kuwait City, Kuwait.ORCID 0000-0002-7520-0221
Husain AlsarafAmiri Hospital, Ministry of Health, Kuwait City, Kuwait.
Jumana AlKandariAmiri Hospital, Ministry of Health, Kuwait City, Kuwait.
Ebaa Al-OzairiDAFNE/Clinical Care Research & Trials Unit, Dasman Diabetes Institute, Kuwait City, Kuwait.ORCID 0000-0001-5006-4369
Stuart R GraySchool of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK.ORCID 0000-0001-8969-9636

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to investigate the association of physical activity and sleep metrics, measured via wrist-worn accelerometers, with depression in people with type 1 diabetes. Patients and Methods: People with type 1 diabetes were recruited from the Dasman Diabetes Institute in Kuwait and were invited to wear a wrist-worn accelerometer device for 7 days. Mean physical activity (overall acceleration), inactivity, light activity, moderate activity, vigorous activity, the distribution of physical activity intensity (intensity gradient), sleep duration and sleep efficiency were quantified from the accelerometer data. The associations of these metrics with depression were investigated using multiple linear regression. Results: A total of 551 people with type 1 diabetes (age 33.1 (9.5) years) were included. Overall physical activity (B = -0.09, CI = -0.14 to -0.04), moderate intensity activity (B = -0.02, CI = -0.02 to -0.01), vigorous intensity activity (B = -0.16, CI = -0.27 to -0.05), and the intensity gradient (B = -2.11, CI = -3.51 to -0.72) were negatively associated with depression score (p < 0.01) and these associations remain significant even after adjustment for age, sex, diabetes duration, and BMI. However, sleep duration and efficiency were not associated with depression. After mutual adjustment overall physical activity (B = -0.07, CI = -0.12 to -0.01), but not the intensity gradient (B = -0.90, CI = -2.47 to 0.68), remained associated with depression. Conclusion: Overall, moderate and vigorous physical activity, and the intensity gradient were associated with lower symptoms of depression. Overall physical activity, rather than the distribution of activity intensity, appears more important in depression. This information can help guide physical activity interventions to improve depression in people with type 1 diabetes.

Indexed as

depressionphysical activitysedentary behaviorstype 1 diabetes

Identifiers

PMID39051018
PMCPMC11268746

What Socratic holds

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LicenceCC BY-NC
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.