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10.1111/aphw.12238 http://scihub22266oqcxt.onion/10.1111/aphw.12238 33016617!7675528!33016617     free     free     free Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 253.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 253.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Appl+Psychol+Health+Well+Being 2020 ; 12 (4): 967-982 Nephropedia Template TP {{tp|p=33016617|t=2020. Different Trajectories of Panic and the Associated Factors among Unmarried Chinese during the COVID-19 Pandemic |pdf=|usr=}}{{33016617}} gab.com Text Different Trajectories of Panic and the Associated Factors among Unmarried Chinese during the COVID-19 Pandemic JO: Appl Psychol Health Well Being http://www.kidney.de/pget.php?&tw=1&pmid=33016617 #FOAvip BACKGROUND: A large number of the population experienced panic during the pandemic of the coronavirus disease 2019 (COVID-19) in China. The current study explored the trajectory of panic and its associated factors to develop promising strategies for controlling the global spread of COVID-19 and improving the mental health emergency management. METHODS: A total of 812 unmarried adults (aged from 18 to 42 years, M = 23.3, SD = 3.45) from all over China participated online in our investigation. A Growth Mixture Model (GMM) was developed and analysed. RESULTS: Three classes of trajectories for panic were identified: the "continuous decline group (CDG)", the "continuous low group (CLG)," and the "continuous high group (CHG)". With reference to the CDG, people in the CHG were more sensitive to social factors. With reference to the CDG, people in the CLG were more likely to possess some of the following traits: being men, in Hubei Province (center of the pandemic), with a lower income, and less sensitive towards social factors and individual factors. With reference to the CLG, people in the CHG were more likely to be women, located outside of Hubei Province, and more sensitive to social factors, family factors, and individual factors. CONCLUSION: Social factors, family factors, and individual factors predicted the different trajectories of panic. Twit Text FOAVip Different Trajectories of Panic and the Associated Factors among Unmarried Chinese during the COVID-19 Pandemic ????Appl Psychol Health Well Being http://www.kidney.de/pget.php?&tw=1&pmid=33016617 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33016617 #FOAvip English Wikipedia <ref>{{Cite pmid|33016617}}</ref> Different Trajectories of Panic and the Associated Factors among Unmarried Chinese during the COVID-19 Pandemic #MMPMID33016617 Tan Y; Lin X; Wu D; Chen H; Jiang Y; He T; Yin J; Tang Y Appl Psychol Health Well Being 2020[Dec]; 12 (4): 967-982 PMID33016617show ga BACKGROUND: A large number of the population experienced panic during the pandemic of the coronavirus disease 2019 (COVID-19) in China. The current study explored the trajectory of panic and its associated factors to develop promising strategies for controlling the global spread of COVID-19 and improving the mental health emergency management. METHODS: A total of 812 unmarried adults (aged from 18 to 42 years, M = 23.3, SD = 3.45) from all over China participated online in our investigation. A Growth Mixture Model (GMM) was developed and analysed. RESULTS: Three classes of trajectories for panic were identified: the "continuous decline group (CDG)", the "continuous low group (CLG)," and the "continuous high group (CHG)". With reference to the CDG, people in the CHG were more sensitive to social factors. With reference to the CDG, people in the CLG were more likely to possess some of the following traits: being men, in Hubei Province (center of the pandemic), with a lower income, and less sensitive towards social factors and individual factors. With reference to the CLG, people in the CHG were more likely to be women, located outside of Hubei Province, and more sensitive to social factors, family factors, and individual factors. CONCLUSION: Social factors, family factors, and individual factors predicted the different trajectories of panic. |*Socioeconomic Factors[MESH] |Adolescent[MESH] |Adult[MESH] |Anxiety/*epidemiology[MESH] |China/epidemiology[MESH] |Female[MESH] |Humans[MESH] |Male[MESH] |Panic/*classification[MESH] |Sex Factors[MESH] |Single Person/*statistics & numerical data[MESH] |Social Factors[MESH]Different Trajectories of Panic and the Associated Factors among Unmar(epmc).pdf DeepDyve Pubget Overpricing