Network analysis of the relationship between depressive symptoms, demographics, nutrition, quality of life and medical condition factors in the Osteoarthritis Initiative database cohort of elderly North-American adults with or at risk for osteoarthritis.


Journal

Epidemiology and psychiatric sciences
ISSN: 2045-7979
Titre abrégé: Epidemiol Psychiatr Sci
Pays: England
ID NLM: 101561091

Informations de publication

Date de publication:
06 02 2019
Historique:
pubmed: 31 1 2019
medline: 22 5 2020
entrez: 31 1 2019
Statut: epublish

Résumé

A complex interaction exists between age, body mass index, medical conditions, polypharmacotherapy, smoking, alcohol use, education, nutrition, depressive symptoms, functioning and quality of life (QoL). We aimed to examine the inter-relationships among these variables, test whether depressive symptomology plays a central role in a large sample of adults, and determine the degree of association with life-style and health variables. Regularised network analysis was applied to 3532 North-American adults aged ⩾45 years drawn from the Osteoarthritis Initiative. Network stability (autocorrelation after case-dropping), centrality of nodes (strength, M, the sum of weight of the connections for each node), and edges/regularised partial correlations connecting the nodes were assessed. Physical and mental health-related QoL (M = 1.681; M = 1.342), income (M = 1.891), age (M = 1.416), depressive symptoms (M = 1.214) and education (M = 1.173) were central nodes. Depressive symptoms' stronger negative connections were found with mental health-related QoL (-0.702), income (-0.090), education (-0.068) and physical health-related QoL (-0.354). This latter was a 'bridge node' that connected depressive symptoms with Charlson comorbidity index, and number of medications. Physical activity and Mediterranean diet adherence were associated with income and physical health-related QoL. This latter was a 'bridge node' between the former two and depressive symptoms. The network was stable (stability coefficient = 0.75, i.e. highest possible value) for all centrality measures. A stable network exists between life-style behaviors and social, environmental, medical and psychiatric variables. QoL, income, age and depressive symptoms were central in the multidimensional network. Physical health-related QoL seems to be a 'bridge node' connecting depressive symptoms with several life-style and health variables. Further studies should assess such interactions in the general population.

Identifiants

pubmed: 30698512
pii: S204579601800077X
doi: 10.1017/S204579601800077X
pmc: PMC8061212
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e14

Commentaires et corrections

Type : ErratumIn

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Auteurs

Marco Solmi (M)

Neuroscience Department, Psychiatry Unit, University of Padua, Padua, Italy.
Padua University Hospital, Padua, Italy.
Neuroscience Center, University of Padua, Padua, Italy.

Ai Koyanagi (A)

Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Monforte de Lemos 3-5 Pabellón 11, Madrid 28029, Spain.
Research and Development Unit, Parc Sanitari Sant Joan de Déu, Universitat de Barcelona, Fundació Sant Joan de Déu, Dr Antoni Pujadas, 42, Sant Boi de Llobregat, Barcelona 0883, Spain.

Trevor Thompson (T)

Faculty of Education and Health, University of Greenwich, London, UK.

Michele Fornaro (M)

Neuroscience Department, Section of Psychiatry, Federico II University of Naples, Naples, Italy.

Christoph U Correll (CU)

Department of Psychiatry, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA.
Department of Psychiatry and Molecular Medicine, Hofstra Northwell School of Medicine, Hempstead, NY, USA.
Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany.

Nicola Veronese (N)

Ageing Branch, National Research Council, Padua, Italy.

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