Cited by 76Physical Activity and HealthContext-Aware Activity Recognition SystemsMental Health Research Topics

A study of wrist-worn activity measurement as a potential real-world biomarker for late-life depression

Open access
O'Brien, J. T., Gallagher, P., Stow, D., Hammerla, N., Ploetz, T., Firbank, M., Ladha, C., Ladha, K. +4 more·2017·Psychological Medicine

Abstract

BACKGROUND: Late-life depression (LLD) is associated with a decline in physical activity. Typically this is assessed by self-report questionnaires and, more recently, with actigraphy. We sought to explore the utility of a bespoke activity monitor to characterize activity profiles in LLD more precisely. METHOD: The activity monitor was worn for 7 days by 29 adults with LLD and 30 healthy controls. Subjects underwent neuropsychological assessment and quality of life (QoL) (36-item Short-Form Health Survey) and activities of daily living (ADL) scales (Instrumental Activities of Daily Living Scale) were administered. RESULTS: Physical activity was significantly reduced in LLD compared with controls (t = 3.63, p < 0.001), primarily in the morning. LLD subjects showed slower fine motor movements (t = 3.49, p < 0.001). In LLD patients, activity reductions were related to reduced ADL (r = 0.61, p < 0.001), lower QoL (r = 0.65, p < 0.001), associative learning (r = 0.40, p = 0.036), and higher Montgomery-Åsberg Depression Rating Scale score (r = -0.37, p < 0.05). CONCLUSIONS: Patients with LLD had a significant reduction in general physical activity compared with healthy controls. Assessment of specific activity parameters further revealed the correlates of impairments associated with LLD. Our study suggests that novel wearable technology has the potential to provide an objective way of monitoring real-world function.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1017/s0033291716002166

Cites

42 of 42 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • O'Brien et al. (45) documented that physical activity was low among individuals with late life depression related to healthy controls.

    “O'Brien et al. (45) documented that physical activity was low among individuals with late life depression related to healthy controls”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
O'Brien, J. T., Gallagher, P., Stow, D., Hammerla, N., Ploetz, T., Firbank, M., Ladha, C., Ladha, K., Jackson, D., McNaney, R., Ferrier, I. N., & Olivier, P.
Affiliations
  • University of Cambridge (GB)
  • University of Newcastle Australia (AU)
  • Open Lab, Newcastle University
Corresponding author
Gallagher, P.
Venue
Psychological Medicine
Published
2016-09-26
Volume
47
Issue
1
Pages
93-102
ISSN
  • 0033-2917 (ISSN-L)
  • 1469-8978
OpenAlex
W2527625754
Cited by
76
References
42
Citations by year
2026: 4 · 2025: 7 · 2024: 9 · 2023: 10 · 2022: 10 · 2021: 14 · 2020: 11 · 2019: 1 · 2018: 9 · 2017: 1
FWCI
2.95
Type
journal article
Language
en
Open access
Locations
  • Psychological Medicine (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Apollo (University of Cambridge) (submittedVersion, cc-by)
  • Lancaster EPrints (Lancaster University) (submittedVersion)
  • Apollo (cc-by)
Funders
  • National Institute for Health and Care Research (NF-SI-0510-10065, SPCR-S-057)
  • University of Cambridge
  • Newcastle University
  • Cambridge University Hospitals
  • Newcastle upon Tyne Hospitals NHS Foundation Trust
  • Medical Research Council (G1001828/1)
  • Engineering and Physical Sciences Research Council (EP/M023001/1, EP/G066019/1)
Topics
  • Health Sciences › Medicine › Physiology › Physical Activity and Health
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
Keywords
geriatric depression, wrist-worn activity monitors, physical activity, wearable devices, biomarkers, actigraphy, activities of daily living, quality of life, fine motor movements, associative learning, objective functional assessment
MeSH terms
Activities of Daily Living, Aged, Aged, 80 and over, Aging, Depressive Disorder, Female, Humans, Male, Biomarkers, Exercise, Actigraphy

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review