Mostrando 1,021 - 1,040 Resultados de 20,795 Para Buscar '"In The Mood"', tiempo de consulta: 0.47s Limitar resultados
  1. 1021
    “…BACKGROUND: Emotional blunting is prevalent in patients with mood disorders and adversely affects the overall treatment outcome. …”
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  2. 1022
    por Yaqoob, Naila, Ahsan, Sadaf
    Publicado 2023
    “…OBJECTIVES: The present research examined the impact of mood disorder and personality disorders on suicide intent among self-harm patients using cross sectional research design. …”
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  3. 1023
    “…This study explored the effects of a mindfulness programme (Flow Meditation) on levels of impulsivity, mood and pre-competition anxiety-state in a sample of athletes (N = 41, 22.83 ± 5.62 years). …”
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  4. 1024
    “…OBJECTIVES: Facial emotion recognition (FER) deficits in depressed mood disorder patients contribute to suicidality. …”
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  5. 1025
    “…The effect of obesity is not just limited to the conditions mentioned above; it is also seen to have a profound impact on the patient’s mental state, leading to the onset of various mental disorders, particularly mood disorders. Therefore, it is necessary to understand the mechanism underlying the crosstalk between obesity and mental disorders. …”
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  6. 1026
  7. 1027
    “…BACKGROUND: Astrocytes become activated with certain infections, and this might alter the brain to trigger or worsen depressed mood. Indeed, astrocytes are chronically activated in people with HIV infection (PWH), who are much more frequently depressed than people without HIV (PWoH). …”
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  8. 1028
    “…The effects of celecoxib on a broad spectrum of mood disorders and on inflammatory parameters have not yet been comprehensively evaluated. …”
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  9. 1029
    “…In a cohort of N=37 Slovenian patients (5 females, aged M = 58, SD = 10.7 years) that were hospitalized because of COVID-19, the cognitive function and mood states were assessed immediately after discharge and 2-months later to investigate the early post-COVID recovery changes. …”
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  10. 1030
    “…BACKGROUND: This study aims to analyze the changes of approximately 1 month in fatigue, sleep, and mood in athletes after returning to training following infection with the COVID-19 Omicron strain and provide recommendations for returning to training after infection. …”
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  11. 1031
    “…BACKGROUND: Sleep disturbances are important symptoms to monitor in people with bipolar disorder (BD) but the precise longitudinal relationships between sleep and mood remain unclear. We aimed to examine associations between stable and dynamic aspects of sleep and mood in people with BD, and assess individual differences in the strength of these associations. …”
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  12. 1032
  13. 1033
    “…INTRODUCTION: This study aims to explore the risk factors associated with suicidal behavior and establish predictive models in female patients with mood disorders, specifically using a nomogram of the least absolute shrinkage and selection operator (LASSO) regression. …”
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  14. 1034
    por Kim, Eunjin, Lee, Hwayong
    Publicado 2023
    “…In this study, we attempted to analyze the effect of color and temperature changes in the forest environment over time on the mood and physiological state of university students. …”
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  15. 1035
    por Lundqvist, Lars-Olov, Korošec, Kaja
    Publicado 2021
    “…We assessed the seven mood-regulation strategies of the Music in Mood Regulation questionnaire, personality traits, mood, and a number of variables regarding music listening. …”
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  16. 1036
    “…Moreover, the role of inhibition in modulating mood differs in non-depressed vs. depressed individuals. …”
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  17. 1037
    “…Subsyndromal mood symptoms, including residual depression, mania and/or anxiety, are major risk factors for episodic relapses after mood stabilisation (Samalin et al., 2016). …”
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  18. 1038
    “…Leveraging apps already in use by individuals on their smartphones, such as chatbots, could be a useful approach to capture subjective reports of mood in the moment. OBJECTIVE: This study aimed to describe the development and implementation of the Identifying Depression Early in Adolescence Chatbot (IDEABot), a WhatsApp-based tool designed for collecting intensive longitudinal data on adolescents’ mood. …”
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  19. 1039
    “…The focus is especially on examining components of mood and fatigue if they were included, and to also report on the screening tools used to measure mood and fatigue. …”
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  20. 1040
    “…CONCLUSIONS: This study identified distributed functional connectomes predictive of depressed and elevated mood severity in BD. Connectomes subserving emotional, cognitive, and psychomotor control predicted depressed mood severity, while those subserving emotional and social perceptual functions predicted elevated mood severity. …”
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