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Camels --- females --- Perinatal period --- supplements --- Grazing --- Blood plasma --- Reproductive performance --- Parturition interval
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Camels --- Productivity --- Animal feeding --- Gestation period --- Perinatal period --- females --- nutritional requirements --- Grazing --- supplements
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This reprint focuses on the assessment, screening and intervention of perinatal depression and anxiety, which have been internationally recognized as relevant mental health problems affecting the whole family system. The contents are of interest for all professionals working in the field of perinatal mental health. Special attention in the reprint is given to three main domains: clinical characteristics of perinatal depression and anxiety in women and men; psychometric properties and usefulness of screening tools; and types of intervention. The first area focuses on the investigation of prevalence, risk factors and predictors of perinatal depression and anxiety, considering different samples of women and/or men, during the prenatal and postpartum period; a glance is also given to perinatal mental health difficulties experienced during the COVID-19 pandemic. The second area is focused on the description of psychometric properties of tools for the detection and screening of perinatal anxiety and depression. This section includes contributions regarding: comparisons among different tools, further validation of already existing questionnaires and validation of new instruments, which could enhance the early detection of depressive and anxiety symptoms. The third area focuses on different approaches of intervention to reduce perinatal depression and anxiety, including gender-transformative interventions to address perinatal mental health and clinical guidelines for the pharmacological management of both depression and anxiety.
Psychology --- Edinburgh Postnatal Depression Scale (EPDS) --- Slovakia --- validity --- postpartum depression --- pregnancy --- COVID-19 --- pandemic stress --- correlates of stress --- infection --- preparedness --- Insomnia Symptom Questionnaire --- sleep disorders --- perinatal period --- internal consistency --- convergent validity --- predictors --- longitudinal study --- anxiety --- childbirth experience --- clinical practice guideline --- depression --- antidepressant --- psychotropic medications --- peripartum --- childbirth --- fear --- assessment --- birth --- questionnaire development --- caesarean --- vaginal --- childbirth anxiety --- anxiety in pregnancy --- SARS-CoV-2 --- pandemic --- support --- perinatal care --- childbirth school --- perinatal --- screening --- validation --- EPDS --- perinatal mental health --- anxiety disorders --- perinatal anxiety --- fear of childbirth --- postnatal --- identifying --- GAD --- questionnaires --- structural validity --- perinatal depression --- responsiveness --- online and offline intervention --- postpartum women --- e-health technology --- social stigma --- social support --- study protocol --- fathers --- preterm birth --- severity of prematurity --- ELBW --- VLBW --- parenting stress --- partner’s influence --- gender transformative interventions --- scoping review --- LMIC
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The aim of this Special Issue is to collect valuable contributions from scientists worldwide working on the role that biological, behavioral, and cognitive markers can have in predicting the onset of neuropsychiatric disorders. We were able to collect 13 original articles and two reviews on this topic. The results published in this Special Issue could provide significant support in pre-clinical phases for the identification of vulnerability factors, to better understand the course of the illness, and to predict its outcome, as well as aiding clinicians in the therapeutic decision-making process.
Medicine --- Pharmacology --- Autism Spectrum Disorders (ASD) --- childhood apraxia of speech --- children --- Magnetic Resonance Imaging (MRI) --- neuroanatomy --- FreeSurfer --- affective disorder --- perinatal period --- fatherhood --- prevention --- gender --- screening --- TMAU --- psychiatric disorders --- microbiota --- Attentional Boost Effect --- bipolar disorder --- euthymic patients --- recognition memory --- genetic variants --- criminal behaviour --- frequency data --- gambling disorder --- attachment --- adolescence --- friend and family interview --- forgetting --- neurotransmitter system --- psychopathologies --- mentalization --- self-report measure --- multilevel model --- integration --- assessment --- COVID-19 --- young adults --- social isolation --- psychological distress --- emotional eating --- emotional dysregulation --- depression --- nomogram --- patient health questionnaire --- multiple risk factors --- epidemiological survey --- high-risk group --- affective temperaments --- depressive disorders --- bipolar disorders --- youth --- heart rate variability --- polyvagal theory --- neurovisceral integration model --- emotional regulation --- psychopathology --- prefrontal functions --- exercise addiction --- alexithymia --- body image --- self-esteem --- COVID-19 vaccine --- vaccine acceptance --- vaccine intention --- aging --- cerebellum --- classification --- cognitive decline --- diadochokinesia --- motor control --- sensory motor performance --- time perception --- n/a
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The aim of this Special Issue is to collect valuable contributions from scientists worldwide working on the role that biological, behavioral, and cognitive markers can have in predicting the onset of neuropsychiatric disorders. We were able to collect 13 original articles and two reviews on this topic. The results published in this Special Issue could provide significant support in pre-clinical phases for the identification of vulnerability factors, to better understand the course of the illness, and to predict its outcome, as well as aiding clinicians in the therapeutic decision-making process.
Autism Spectrum Disorders (ASD) --- childhood apraxia of speech --- children --- Magnetic Resonance Imaging (MRI) --- neuroanatomy --- FreeSurfer --- affective disorder --- perinatal period --- fatherhood --- prevention --- gender --- screening --- TMAU --- psychiatric disorders --- microbiota --- Attentional Boost Effect --- bipolar disorder --- euthymic patients --- recognition memory --- genetic variants --- criminal behaviour --- frequency data --- gambling disorder --- attachment --- adolescence --- friend and family interview --- forgetting --- neurotransmitter system --- psychopathologies --- mentalization --- self-report measure --- multilevel model --- integration --- assessment --- COVID-19 --- young adults --- social isolation --- psychological distress --- emotional eating --- emotional dysregulation --- depression --- nomogram --- patient health questionnaire --- multiple risk factors --- epidemiological survey --- high-risk group --- affective temperaments --- depressive disorders --- bipolar disorders --- youth --- heart rate variability --- polyvagal theory --- neurovisceral integration model --- emotional regulation --- psychopathology --- prefrontal functions --- exercise addiction --- alexithymia --- body image --- self-esteem --- COVID-19 vaccine --- vaccine acceptance --- vaccine intention --- aging --- cerebellum --- classification --- cognitive decline --- diadochokinesia --- motor control --- sensory motor performance --- time perception --- n/a
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The aim of this Special Issue is to collect valuable contributions from scientists worldwide working on the role that biological, behavioral, and cognitive markers can have in predicting the onset of neuropsychiatric disorders. We were able to collect 13 original articles and two reviews on this topic. The results published in this Special Issue could provide significant support in pre-clinical phases for the identification of vulnerability factors, to better understand the course of the illness, and to predict its outcome, as well as aiding clinicians in the therapeutic decision-making process.
Medicine --- Pharmacology --- Autism Spectrum Disorders (ASD) --- childhood apraxia of speech --- children --- Magnetic Resonance Imaging (MRI) --- neuroanatomy --- FreeSurfer --- affective disorder --- perinatal period --- fatherhood --- prevention --- gender --- screening --- TMAU --- psychiatric disorders --- microbiota --- Attentional Boost Effect --- bipolar disorder --- euthymic patients --- recognition memory --- genetic variants --- criminal behaviour --- frequency data --- gambling disorder --- attachment --- adolescence --- friend and family interview --- forgetting --- neurotransmitter system --- psychopathologies --- mentalization --- self-report measure --- multilevel model --- integration --- assessment --- COVID-19 --- young adults --- social isolation --- psychological distress --- emotional eating --- emotional dysregulation --- depression --- nomogram --- patient health questionnaire --- multiple risk factors --- epidemiological survey --- high-risk group --- affective temperaments --- depressive disorders --- bipolar disorders --- youth --- heart rate variability --- polyvagal theory --- neurovisceral integration model --- emotional regulation --- psychopathology --- prefrontal functions --- exercise addiction --- alexithymia --- body image --- self-esteem --- COVID-19 vaccine --- vaccine acceptance --- vaccine intention --- aging --- cerebellum --- classification --- cognitive decline --- diadochokinesia --- motor control --- sensory motor performance --- time perception
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