000128130 001__ 128130
000128130 005__ 20240720100837.0
000128130 0247_ $$2doi$$a10.1017/S0033291723001034
000128130 0248_ $$2sideral$$a134488
000128130 037__ $$aART-2023-134488
000128130 041__ $$aeng
000128130 100__ $$aSiddi, S.
000128130 245__ $$aThe usability of daytime and night-time heart rate dynamics as digital biomarkers of depression severity
000128130 260__ $$c2023
000128130 5060_ $$aAccess copy available to the general public$$fUnrestricted
000128130 5203_ $$aBackground: Alterations in heart rate (HR) may provide new information about physiological signatures of depression severity. This 2-year study in individuals with a history of recurrent major depressive disorder (MDD) explored the intra-individual variations in HR parameters and their relationship with depression severity. Methods: Data from 510 participants (Number of observations of the HR parameters = 6666) were collected from three centres in the Netherlands, Spain, and the UK, as a part of the remote assessment of disease and relapse-MDD study. We analysed the relationship between depression severity, assessed every 2 weeks with the Patient Health Questionnaire-8, with HR parameters in the week before the assessment, such as HR features during all day, resting periods during the day and at night, and activity periods during the day evaluated with a wrist-worn Fitbit device. Linear mixed models were used with random intercepts for participants and countries. Covariates included in the models were age, sex, BMI, smoking and alcohol consumption, antidepressant use and co-morbidities with other medical health conditions. Results: Decreases in HR variation during resting periods during the day were related with an increased severity of depression both in univariate and multivariate analyses. Mean HR during resting at night was higher in participants with more severe depressive symptoms. Conclusions: Our findings demonstrate that alterations in resting HR during all day and night are associated with depression severity. These findings may provide an early warning of worsening depression symptoms which could allow clinicians to take responsive treatment measures promptly.
000128130 536__ $$9info:eu-repo/grantAgreement/EC/H2020/115902/EU/Remote Assessment of Disease and Relapse in Central Nervous System Disorders/RADAR-CNS$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 115902-RADAR-CNS
000128130 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000128130 590__ $$a5.9$$b2023
000128130 592__ $$a2.768$$b2023
000128130 591__ $$aPSYCHIATRY$$b23 / 276 = 0.083$$c2023$$dQ1$$eT1
000128130 593__ $$aPsychiatry and Mental Health$$c2023$$dQ1
000128130 591__ $$aPSYCHOLOGY, CLINICAL$$b6 / 180 = 0.033$$c2023$$dQ1$$eT1
000128130 593__ $$aApplied Psychology$$c2023$$dQ1
000128130 591__ $$aPSYCHIATRY$$b23 / 276 = 0.083$$c2023$$dQ1$$eT1
000128130 591__ $$aPSYCHOLOGY$$b7 / 92 = 0.076$$c2023$$dQ1$$eT1
000128130 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000128130 700__ $$0(orcid)0000-0003-1272-0550$$aBailón, R.$$uUniversidad de Zaragoza
000128130 700__ $$aGiné-Vázquez, I.
000128130 700__ $$aMatcham, F.
000128130 700__ $$aLamers, F.
000128130 700__ $$0(orcid)0000-0002-1297-0691$$aKontaxis, S.$$uUniversidad de Zaragoza
000128130 700__ $$aLaporta, E.
000128130 700__ $$aGarcía, E.
000128130 700__ $$aLombardini, F.
000128130 700__ $$aAnnas, P.
000128130 700__ $$aHotopf, M.
000128130 700__ $$aPenninx, B. W. J. H.
000128130 700__ $$aIvan, A.
000128130 700__ $$aWhite, K. M.
000128130 700__ $$aDifrancesco, S.
000128130 700__ $$aLocatelli, P.
000128130 700__ $$aAguiló, J.
000128130 700__ $$aPeñarrubia-Maria, M. T.
000128130 700__ $$aNarayan, V. A.
000128130 700__ $$aFolarin, A.
000128130 700__ $$aLeightley, D.
000128130 700__ $$aCummins, N.
000128130 700__ $$aVairavan, S.
000128130 700__ $$aRanjan, Y.
000128130 700__ $$aRintala, A.
000128130 700__ $$aDe Girolamo, G.
000128130 700__ $$aSimblett, S. K.
000128130 700__ $$aWykes, T.
000128130 700__ $$aMyin-Germeys, I.
000128130 700__ $$aDobson, R.
000128130 700__ $$aHaro, J. M.
000128130 700__ $$aPAB members
000128130 7102_ $$15008$$2800$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Teoría Señal y Comunicac.
000128130 773__ $$g53, 8 (2023), 3249-3260$$pPsychol. med.$$tPsychological Medicine$$x0033-2917
000128130 8564_ $$s969830$$uhttps://zaguan.unizar.es/record/128130/files/texto_completo.pdf$$yPostprint
000128130 8564_ $$s1753352$$uhttps://zaguan.unizar.es/record/128130/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000128130 909CO $$ooai:zaguan.unizar.es:128130$$particulos$$pdriver
000128130 951__ $$a2024-07-19-18:45:03
000128130 980__ $$aARTICLE