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10.1017/S0033291721001598 http://scihub22266oqcxt.onion/10.1017/S0033291721001598 33875036!8060544!33875036     free     free     free Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Psychol+Med 2023 ; 53 (2): 388-395 Nephropedia Template TP {{tp|p=33875036|t=2023. Using social media data to assess the impact of COVID-19 on mental health in China |pdf=|usr=}}{{33875036}} gab.com Text Using social media data to assess the impact of COVID-19 on mental health in China JO: Psychol Med http://www.kidney.de/pget.php?&tw=1&pmid=33875036 #FOAvip BACKGROUND: The outbreak and rapid spread of coronavirus disease 2019 (COVID-19) not only caused an adverse impact on physical health, but also brought about mental health problems among the public. METHODS: To assess the causal impact of COVID-19 on psychological changes in China, we constructed a city-level panel data set based on the expressed sentiment in the contents of 13 million geotagged tweets on Sina Weibo, the Chinese largest microblog platform. RESULTS: Applying a difference-in-differences approach, we found a significant deterioration in mental health status after the occurrence of COVID-19. We also observed that this psychological effect faded out over time during our study period and was more pronounced among women, teenagers and older adults. The mental health impact was more likely to be observed in cities with low levels of initial mental health status, economic development, medical resources and social security. CONCLUSIONS: Our findings may assist in the understanding of mental health impact of COVID-19 and yield useful insights into how to make effective psychological interventions in this kind of sudden public health event. Twit Text FOAVip Using social media data to assess the impact of COVID-19 on mental health in China ????Psychol Med http://www.kidney.de/pget.php?&tw=1&pmid=33875036 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33875036 #FOAvip English Wikipedia <ref>{{Cite pmid|33875036}}</ref> Using social media data to assess the impact of COVID-19 on mental health in China #MMPMID33875036 Zhu Y; Cao L; Xie J; Yu Y; Chen A; Huang F Psychol Med 2023[Jan]; 53 (2): 388-395 PMID33875036show ga BACKGROUND: The outbreak and rapid spread of coronavirus disease 2019 (COVID-19) not only caused an adverse impact on physical health, but also brought about mental health problems among the public. METHODS: To assess the causal impact of COVID-19 on psychological changes in China, we constructed a city-level panel data set based on the expressed sentiment in the contents of 13 million geotagged tweets on Sina Weibo, the Chinese largest microblog platform. RESULTS: Applying a difference-in-differences approach, we found a significant deterioration in mental health status after the occurrence of COVID-19. We also observed that this psychological effect faded out over time during our study period and was more pronounced among women, teenagers and older adults. The mental health impact was more likely to be observed in cities with low levels of initial mental health status, economic development, medical resources and social security. CONCLUSIONS: Our findings may assist in the understanding of mental health impact of COVID-19 and yield useful insights into how to make effective psychological interventions in this kind of sudden public health event. |*COVID-19[MESH] |*Social Media[MESH] |Adolescent[MESH] |Aged[MESH] |Asian People[MESH] |China/epidemiology[MESH] |Female[MESH] |Humans[MESH]Using social media data to assess the impact of COVID-19 on mental hea(epmc).pdf DeepDyve Pubget Overpricing