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10.1016/j.jpsychores.2020.110186 http://scihub22266oqcxt.onion/10.1016/j.jpsychores.2020.110186 32682159!7832650!32682159     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       J+Psychosom+Res 2020 ; 136 (ä): 110186 Nephropedia Template TP {{tp|p=32682159|t=2020. The effect of age, gender, income, work, and physical activity on mental health during coronavirus disease (COVID-19) lockdown in Austria |pdf=|usr=}}{{32682159}} gab.com Text The effect of age, gender, income, work, and physical activity on mental health during coronavirus disease (COVID-19) lockdown in Austria JO: J Psychosom Res http://www.kidney.de/pget.php?&tw=1&pmid=32682159 #FOAvip BACKGROUND: The impact of Coronavirus disease (COVID-19) and the governmental restrictions on mental health have been reported for different countries. This study evaluated mental health during COVID-19 lockdown in Austria and the effect of age, gender, income, work, and physical activity. METHODS: An online survey was performed through Qualtrics(R) after four weeks of lockdown in Austria to recruit a representative sample regarding gender, age, education, and region. Indicators of mental health were quality of life (WHO-QOL BREF), well-being (WHO-5), depression (PHQ-9), anxiety (GAD-7), stress (PSS-10), and sleep quality (ISI). RESULTS: In total, N = 1005 individuals were included (53% women). 21% scored above the cut off >/=10 points (PHQ-9) for moderate depressive symptoms, 119% scored above the cut-off >/=10 points (GAD-7) for moderate anxiety symptoms, and 16% above the cut-off >/=15 points (ISI) for clinical insomnia. ANOVAs, Bonferroni-corrected post-hoc tests, and t-tests showed highest mental health problems in adults under 35 years, women, people with no work, and low income (all p-values <.05). Comparisons with a large Austrian sample recruited within the ATHIS 2014 study showed increases of depression and decreases of quality of life in times of COVID-19 as compared to before COVID-19. CONCLUSIONS: Depressive symptoms (21%) and anxiety symptoms (19%) are higher during COVID-19 compared to previous epidemiological data. 16% rated over the cut-off for moderate or severe clinical insomnia. The COVID-19 pandemic and lockdown seems particularly stressful for younger adults (<35 years), women, people without work, and low income. Twit Text FOAVip The effect of age, gender, income, work, and physical activity on mental health during coronavirus disease (COVID-19) lockdown in Austria ????J Psychosom Res http://www.kidney.de/pget.php?&tw=1&pmid=32682159 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32682159 #FOAvip English Wikipedia <ref>{{Cite pmid|32682159}}</ref> The effect of age, gender, income, work, and physical activity on mental health during coronavirus disease (COVID-19) lockdown in Austria #MMPMID32682159 Pieh C; Budimir S; Probst T J Psychosom Res 2020[Sep]; 136 (ä): 110186 PMID32682159show ga BACKGROUND: The impact of Coronavirus disease (COVID-19) and the governmental restrictions on mental health have been reported for different countries. This study evaluated mental health during COVID-19 lockdown in Austria and the effect of age, gender, income, work, and physical activity. METHODS: An online survey was performed through Qualtrics(R) after four weeks of lockdown in Austria to recruit a representative sample regarding gender, age, education, and region. Indicators of mental health were quality of life (WHO-QOL BREF), well-being (WHO-5), depression (PHQ-9), anxiety (GAD-7), stress (PSS-10), and sleep quality (ISI). RESULTS: In total, N = 1005 individuals were included (53% women). 21% scored above the cut off >/=10 points (PHQ-9) for moderate depressive symptoms, 119% scored above the cut-off >/=10 points (GAD-7) for moderate anxiety symptoms, and 16% above the cut-off >/=15 points (ISI) for clinical insomnia. ANOVAs, Bonferroni-corrected post-hoc tests, and t-tests showed highest mental health problems in adults under 35 years, women, people with no work, and low income (all p-values <.05). Comparisons with a large Austrian sample recruited within the ATHIS 2014 study showed increases of depression and decreases of quality of life in times of COVID-19 as compared to before COVID-19. CONCLUSIONS: Depressive symptoms (21%) and anxiety symptoms (19%) are higher during COVID-19 compared to previous epidemiological data. 16% rated over the cut-off for moderate or severe clinical insomnia. The COVID-19 pandemic and lockdown seems particularly stressful for younger adults (<35 years), women, people without work, and low income. |Adolescent[MESH] |Adult[MESH] |Age Distribution[MESH] |Aged[MESH] |Austria/epidemiology[MESH] |COVID-19[MESH] |Coronavirus Infections/epidemiology/*prevention & control[MESH] |Exercise/psychology[MESH] |Female[MESH] |Humans[MESH] |Income/statistics & numerical data[MESH] |Male[MESH] |Mental Disorders/*epidemiology[MESH] |Middle Aged[MESH] |Pandemics/*prevention & control[MESH] |Pneumonia, Viral/epidemiology/*prevention & control[MESH] |Quarantine/*psychology[MESH] |Risk Factors[MESH] |Sex Distribution[MESH] |Work/statistics & numerical data[MESH]The effect of age, gender, income, work, and physical activity on ment(epmc).pdf DeepDyve Pubget Overpricing