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10.1111/pcn.13099 http://scihub22266oqcxt.onion/10.1111/pcn.13099 32602150!7436134!32602150     free     free     free Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 261.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Psychiatry+Clin+Neurosci 2020 ; 74 (10): 542-549 Nephropedia Template TP {{tp|p=32602150|t=2020. Alcohol use in Australia during the early days of the COVID-19 pandemic: Initial results from the COLLATE project |pdf=|usr=}}{{32602150}} gab.com Text Alcohol use in Australia during the early days of the COVID-19 pandemic: Initial results from the COLLATE project JO: Psychiatry Clin Neurosci http://www.kidney.de/pget.php?&tw=1&pmid=32602150 #FOAvip 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. Twit Text FOAVip Alcohol use in Australia during the early days of the COVID-19 pandemic: Initial results from the COLLATE project ????Psychiatry Clin Neurosci http://www.kidney.de/pget.php?&tw=1&pmid=32602150 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32602150 #FOAvip English Wikipedia <ref>{{Cite pmid|32602150}}</ref> Alcohol use in Australia during the early days of the COVID-19 pandemic: Initial results from the COLLATE project #MMPMID32602150 Neill E; Meyer D; Toh WL; van Rheenen TE; Phillipou A; Tan EJ; Rossell SL Psychiatry Clin Neurosci 2020[Oct]; 74 (10): 542-549 PMID32602150show ga 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. |*COVID-19[MESH] |Adolescent[MESH] |Adult[MESH] |Affect[MESH] |Age Factors[MESH] |Aged[MESH] |Alcohol Drinking/*epidemiology/psychology[MESH] |Anxiety/epidemiology/psychology[MESH] |Australia/epidemiology[MESH] |Depression/*epidemiology/psychology[MESH] |Employment/psychology/*statistics & numerical data[MESH] |Exercise/psychology[MESH] |Feeding Behavior/psychology[MESH] |Female[MESH] |Humans[MESH] |Income/statistics & numerical data[MESH] |Life Style[MESH] |Logistic Models[MESH] |Male[MESH] |Middle Aged[MESH] |Physical Distancing[MESH] |Residence Characteristics/statistics & numerical data[MESH] |Risk Factors[MESH] |Sex Factors[MESH] |Sleep[MESH] |Social Isolation/psychology[MESH] |Stress, Psychological/*epidemiology/psychology[MESH] |Unemployment/psychology/statistics & numerical data[MESH]Alcohol use in Australia during the early days of the COVID-19 pandemi(epmc).pdf DeepDyve Pubget Overpricing