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10.1016/j.jad.2021.03.009 http://scihub22266oqcxt.onion/10.1016/j.jad.2021.03.009 33761325!9754677!33761325     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       J+Affect+Disord 2021 ; 287 (ä): 8-14 Nephropedia Template TP {{tp|p=33761325|t=2021. Socioeconomic inequality in child mental health during the COVID-19 pandemic: First evidence from China |pdf=|usr=}}{{33761325}} gab.com Text Socioeconomic inequality in child mental health during the COVID-19 pandemic: First evidence from China JO: J Affect Disord http://www.kidney.de/pget.php?&tw=1&pmid=33761325 #FOAvip BACKGROUND: There are increasing concerns that the coronavirus disease (COVID-19) pandemic will disproportionately affect socioeconomically disadvantaged children. However, there lacks empirical evidence on socioeconomic inequalities in child mental health and associated factors. METHODS: We conducted a population-based online survey in 21,526 children in China, when children were confined at home for nearly two months during the pandemic. We assessed child mental health problems with the Strengths and Difficulties Questionnaire (SDQ). Parental education level and provincial gross domestic product (GDP) per capita were treated as proxies for individual- and population-level socioeconomic status (SES), respectively. Lifestyle and family environment factors included sleep disturbances, physical activity, screen time, primary caregiver, parental mental health, and harsh parenting. RESULTS: Of the children, 32.31% demonstrated mental health problems. Parental education from the highest (undergraduate and above) to the lowest (middle school and below) increased the adjusted odds ratio(aOR) for child mental health problems by 42% (aOR, 1.42; 95% CI, 1.29-1.57); provincial GDP per capita (RMB) from the highest (> yen100K) to the lowest (</= yen70K) increased aOR by 41% (aOR, 1.41; 95% CI%, 1.28-1.55). Sleep disturbances, physical activity <1 h/day, media exposure >/=2 h/day, non-parental care, poor parental mental health, and harsh parenting were independently associated with increased child mental health problems, regardless of SES. LIMITATIONS: The potential sampling bias, subjective measures, and the cross-sectional design are the main limitations. CONCLUSION: The first evidence from China suggests socioeconomic inequality in child mental health during the pandemic. As unhealthy lifestyle and unfavorable family environment are contributory factors, prioritized interventions are needed to reduce socioeconomic inequality in child mental health problems. Twit Text FOAVip Socioeconomic inequality in child mental health during the COVID-19 pandemic: First evidence from China ????J Affect Disord http://www.kidney.de/pget.php?&tw=1&pmid=33761325 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33761325 #FOAvip English Wikipedia <ref>{{Cite pmid|33761325}}</ref> Socioeconomic inequality in child mental health during the COVID-19 pandemic: First evidence from China #MMPMID33761325 Li W; Wang Z; Wang G; Ip P; Sun X; Jiang Y; Jiang F J Affect Disord 2021[May]; 287 (ä): 8-14 PMID33761325show ga BACKGROUND: There are increasing concerns that the coronavirus disease (COVID-19) pandemic will disproportionately affect socioeconomically disadvantaged children. However, there lacks empirical evidence on socioeconomic inequalities in child mental health and associated factors. METHODS: We conducted a population-based online survey in 21,526 children in China, when children were confined at home for nearly two months during the pandemic. We assessed child mental health problems with the Strengths and Difficulties Questionnaire (SDQ). Parental education level and provincial gross domestic product (GDP) per capita were treated as proxies for individual- and population-level socioeconomic status (SES), respectively. Lifestyle and family environment factors included sleep disturbances, physical activity, screen time, primary caregiver, parental mental health, and harsh parenting. RESULTS: Of the children, 32.31% demonstrated mental health problems. Parental education from the highest (undergraduate and above) to the lowest (middle school and below) increased the adjusted odds ratio(aOR) for child mental health problems by 42% (aOR, 1.42; 95% CI, 1.29-1.57); provincial GDP per capita (RMB) from the highest (> yen100K) to the lowest (/=2 h/day, non-parental care, poor parental mental health, and harsh parenting were independently associated with increased child mental health problems, regardless of SES. LIMITATIONS: The potential sampling bias, subjective measures, and the cross-sectional design are the main limitations. CONCLUSION: The first evidence from China suggests socioeconomic inequality in child mental health during the pandemic. As unhealthy lifestyle and unfavorable family environment are contributory factors, prioritized interventions are needed to reduce socioeconomic inequality in child mental health problems. |*COVID-19[MESH] |*Coronavirus[MESH] |Child[MESH] |China/epidemiology[MESH] |Cross-Sectional Studies[MESH] |Humans[MESH] |Mental Health[MESH] |Pandemics[MESH] |SARS-CoV-2[MESH] |Socioeconomic Factors[MESH]Socioeconomic inequality in child mental health during the COVID-19 pa(epmc).pdf DeepDyve Pubget Overpricing