دورية أكاديمية
أعرض في EDS

Identifying Current Feelings of Mild and Moderate to High Depression in Young, Healthy Individuals Using Gait and Balance: An Exploratory Study.

التفاصيل البيبلوغرافية
العنوان: Identifying Current Feelings of Mild and Moderate to High Depression in Young, Healthy Individuals Using Gait and Balance: An Exploratory Study.
المؤلفون: Boolani A; Honors Department, Clarkson University, Potsdam, NY 13699, USA., Gruber AH; Department of Kinesiology, Indiana University, Bloomington, IN 47405, USA., Torad AA; Faculty of Physical Therapy, Kafrelsheik University, Kafr El Sheik 33516, Egypt., Stamatis A; Department of Health and Sport Sciences, University of Louisville, Louisville, KY 40292, USA.
المصدر: Sensors (Basel, Switzerland) [Sensors (Basel)] 2023 Jul 23; Vol. 23 (14). Date of Electronic Publication: 2023 Jul 23.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE
أسماء مطبوعة: Original Publication: Basel, Switzerland : MDPI, c2000-
مواضيع طبية MeSH: Depression*/diagnosis , Gait*, Humans ; Adolescent ; Young Adult ; Adult ; Cross-Sectional Studies ; Affect ; Postural Balance
مستخلص: Depressive mood states in healthy populations are prevalent but often under-reported. Biases exist in self-reporting of depression in otherwise healthy individuals. Gait and balance control can serve as objective markers for identifying those individuals, particularly in real-world settings. We utilized inertial measurement units (IMU) to measure gait and balance control. An exploratory, cross-sectional design was used to compare individuals who reported feeling depressed at the moment ( n = 49) with those who did not ( n = 84). The Quality Assessment Tool for Observational Cohort and Cross-sectional Studies was employed to ensure internal validity. We recruited 133 participants aged between 18-36 years from the university community. Various instruments were used to evaluate participants' present depressive symptoms, sleep, gait, and balance. Gait and balance variables were used to detect depression, and participants were categorized into three groups: not depressed, mild depression, and moderate-high depression. Participant characteristics were analyzed using ANOVA and Kruskal-Wallis tests, and no significant differences were found in age, height, weight, BMI, and prior night's sleep between the three groups. Classification models were utilized for depression detection. The most accurate model incorporated both gait and balance variables, yielding an accuracy rate of 84.91% for identifying individuals with moderate-high depression compared to non-depressed individuals.
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فهرسة مساهمة: Keywords: IMU sensors; POMS; balance conditions; classification modeling; mood states
تواريخ الأحداث: Date Created: 20230729 Date Completed: 20230731 Latest Revision: 20230801
رمز التحديث: 20230801
مُعرف محوري في PubMed: PMC10384769
DOI: 10.3390/s23146624
PMID: 37514917
قاعدة البيانات: MEDLINE
الوصف
تدمد:1424-8220
DOI:10.3390/s23146624