Literature DB >> 3567834

Mood, depressive illness and gait patterns.

L Sloman, M Pierrynowski, M Berridge, S Tupling, J Flowers.   

Abstract

This study measures the ground force patterns of 87 normal, older adults. It tests the hypothesis that there is a relation between a subject's mood as measured by the Beck Inventory, and the ground reaction forces as measured by a force plate during normal gait. Results showed that the push-off force in the posterior and downward directions was correlated with the expression of mood state. Lower mood individuals demonstrated a smaller push-off force and these ground force patterns of low mood state subjects resembled the patterns found in a previous study of clinically depressed patients. It is suggested that gait measurement could provide a sensitive index of level of depression in a clinical population.

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Year:  1987        PMID: 3567834     DOI: 10.1177/070674378703200306

Source DB:  PubMed          Journal:  Can J Psychiatry        ISSN: 0706-7437            Impact factor:   4.356


  3 in total

1.  Effects of emotionally charged auditory stimulation on gait performance in the elderly: a preliminary study.

Authors:  John-Ross Rizzo; Preeti Raghavan; J R McCrery; Mooyeon Oh-Park; Joe Verghese
Journal:  Arch Phys Med Rehabil       Date:  2014-12-24       Impact factor: 3.966

2.  Associations Between Depression Symptom Severity and Daily-Life Gait Characteristics Derived From Long-Term Acceleration Signals in Real-World Settings: Retrospective Analysis.

Authors:  Yuezhou Zhang; Amos A Folarin; Shaoxiong Sun; Nicholas Cummins; Srinivasan Vairavan; Linglong Qian; Yatharth Ranjan; Zulqarnain Rashid; Pauline Conde; Callum Stewart; Petroula Laiou; Heet Sankesara; Faith Matcham; Katie M White; Carolin Oetzmann; Alina Ivan; Femke Lamers; Sara Siddi; Sara Simblett; Aki Rintala; David C Mohr; Inez Myin-Germeys; Til Wykes; Josep Maria Haro; Brenda W J H Penninx; Vaibhav A Narayan; Peter Annas; Matthew Hotopf; Richard J B Dobson
Journal:  JMIR Mhealth Uhealth       Date:  2022-10-04       Impact factor: 4.947

3.  Quantifying Variation in Gait Features from Wearable Inertial Sensors Using Mixed Effects Models.

Authors:  Kellen Garrison Cresswell; Yongyun Shin; Shanshan Chen
Journal:  Sensors (Basel)       Date:  2017-02-25       Impact factor: 3.576

  3 in total

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