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1.
Psychiatry Clin Neurosci ; 74(10): 542-549, 2020 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-32602150

RESUMO

AIM: The effects of social isolation measures used to control the spread of COVID-19 are negatively impacting the mental health of many. One of the consequences of exposure to disasters/pandemics is an increase in alcohol use. The current study aimed to examine what predisposing (distal) and pandemic-related (proximal) factors were associated with increased drinking in the wake of the COVID-19 pandemic. METHODS: On 1 April 2020, 5158 Australians completed a survey from the COvid-19 and you: mentaL heaLth in AusTralia now survEy (COLLATE) project, a nationwide study aimed at tracking key mental health concerns. Using logistic regression, distal (demographics and previous drinking behaviors) and proximal (employment, lifestyle factors, and mood) factors were assessed for their association with increased drinking since the onset of the COVID-19 pandemic. RESULTS: Distal factors, including heavier drinking pre-pandemic, middle age, and average or higher income, and proximal factors, including job loss, eating more, changes to sleep as well as stress and depression, were all associated with increased drinking in the COVID-19 pandemic environment. Female sex and self-reported history of mental illness became nonsignificant after proximal measures were added to the model. Living alone, exercise, anxiety, and status as an essential or health-care worker were not associated with increased drinking. CONCLUSION: These results provide guidance as to who might be targeted to receive support based on predisposing demographic factors and pre-pandemic drinking behavior. Second, they indicate what behaviors/factors accompany increased alcohol use and provide targets for psychosocial and psychoeducational supports to address these proximal factors.


Assuntos
Consumo de Bebidas Alcoólicas/epidemiologia , COVID-19 , Depressão/epidemiologia , Emprego/estatística & dados numéricos , Estresse Psicológico/epidemiologia , Adolescente , Adulto , Afeto , Fatores Etários , Idoso , Consumo de Bebidas Alcoólicas/psicologia , Ansiedade/epidemiologia , Ansiedade/psicologia , Austrália/epidemiologia , Depressão/psicologia , Emprego/psicologia , Exercício Físico/psicologia , Comportamento Alimentar/psicologia , Feminino , Humanos , Renda/estatística & dados numéricos , Estilo de Vida , Modelos Logísticos , Masculino , Pessoa de Meia-Idade , Distanciamento Físico , Características de Residência/estatística & dados numéricos , Fatores de Risco , Fatores Sexuais , Sono , Isolamento Social/psicologia , Estresse Psicológico/psicologia , Desemprego/psicologia , Desemprego/estatística & dados numéricos , Adulto Jovem
2.
J Int Neuropsychol Soc ; 20(2): 200-8, 2014 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-24423084

RESUMO

Patients with bipolar disorder (BD) have difficulty in recognizing and discriminating facial emotions. However, beyond this broad finding, existing literature is equivocal about the specific nature of impairments, and progress toward adequately profiling facial emotion processing in BD is hampered by methodological inconsistencies. The current study aimed to advance the literature by comparing 50 BD patients and 52 controls on a series of facial emotion processing tasks. Results indicated that patients with BD had a small, yet consistent impairment in emotion processing overall. This impairment did not vary as a function of specific emotions, tasks, or intensities between groups, and was not influenced by current mood state. These results suggest that past inconsistencies in the literature are unlikely to be attributable to task related artifacts influencing the estimation of an effect. These findings add to our understanding of social cognition in BD, and have important implications for clinicians treating patients with the disorder.


Assuntos
Transtorno Bipolar/complicações , Emoções/fisiologia , Expressão Facial , Reconhecimento Visual de Modelos/fisiologia , Transtornos da Percepção/etiologia , Reconhecimento Psicológico/fisiologia , Adolescente , Adulto , Análise de Variância , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Estimulação Luminosa , Tempo de Reação , Adulto Jovem
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