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10.3390/nu13020671 http://scihub22266oqcxt.onion/10.3390/nu13020671 33669622!7922943!33669622     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Nutrients 2021 ; 13 (2): ä Nephropedia Template TP {{tp|p=33669622|t=2021. Longitudinal Weight Gain and Related Risk Behaviors during the COVID-19 Pandemic in Adults in the US |pdf=|usr=}}{{33669622}} gab.com Text Longitudinal Weight Gain and Related Risk Behaviors during the COVID-19 Pandemic in Adults in the US JO: Nutrients http://www.kidney.de/pget.php?&tw=1&pmid=33669622 #FOAvip Cross-sectional analyses have shown increased obesogenic behaviors and a potential for weight gain during COVID-19 related peak-lockdown (March-May 2020), but longitudinal data are lacking. This study assessed longitudinal changes in body weight and lifestyle behaviors in the US adults during the pandemic. METHODS: We used Qualtrics survey to collect self-reported data on body weight, dietary, physical activity, and psychological variables (n = 727) during the peak-lockdown (April/May) and at post-lockdown (September/October). Peak-lockdown weight data were categorized based on the magnitude of weight gained, maintained, or lost, and behavioral differences were examined between categories at two time points. RESULTS: Body weight increased (+0.62 kg; p < 0.05) at the post-lockdown period. The body mass index also increased (26.38 +/- 5.98 kg/m(2) vs. 26.12 +/- 5.81 kg/m(2); p < 0.01) at the post-lockdown period vs. peak-lockdown period. Close to 40% of participants reported gaining either 1-4 lbs or >5 lbs of body weight during the peak-lockdown, while 18.2% lost weight. Weight-gainers engaged in riskier dietary behaviors such as frequent ultra-processed food intake (p < 0.01) and snacking (p < 0.001), were less active, and reported high stress and less craving control during peak-lockdown. Of those gaining >5 lbs, 33% continued to gain weight after the lockdown eased, while 28% maintain higher body weight. In weight-gainers, takeout meal frequency increased, and high ultra-processed food intake and stress, and low craving control continued to persist after the lockdown eased. CONCLUSION: We show that the COVID-19 lockdown periods disrupted weight management among many Americans and that associated health effects are likely to persist. Twit Text FOAVip Longitudinal Weight Gain and Related Risk Behaviors during the COVID-19 Pandemic in Adults in the US ????Nutrients http://www.kidney.de/pget.php?&tw=1&pmid=33669622 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33669622 #FOAvip English Wikipedia <ref>{{Cite pmid|33669622}}</ref> Longitudinal Weight Gain and Related Risk Behaviors during the COVID-19 Pandemic in Adults in the US #MMPMID33669622 Bhutani S; vanDellen MR; Cooper JA Nutrients 2021[Feb]; 13 (2): ä PMID33669622show ga Cross-sectional analyses have shown increased obesogenic behaviors and a potential for weight gain during COVID-19 related peak-lockdown (March-May 2020), but longitudinal data are lacking. This study assessed longitudinal changes in body weight and lifestyle behaviors in the US adults during the pandemic. METHODS: We used Qualtrics survey to collect self-reported data on body weight, dietary, physical activity, and psychological variables (n = 727) during the peak-lockdown (April/May) and at post-lockdown (September/October). Peak-lockdown weight data were categorized based on the magnitude of weight gained, maintained, or lost, and behavioral differences were examined between categories at two time points. RESULTS: Body weight increased (+0.62 kg; p < 0.05) at the post-lockdown period. The body mass index also increased (26.38 +/- 5.98 kg/m(2) vs. 26.12 +/- 5.81 kg/m(2); p < 0.01) at the post-lockdown period vs. peak-lockdown period. Close to 40% of participants reported gaining either 1-4 lbs or >5 lbs of body weight during the peak-lockdown, while 18.2% lost weight. Weight-gainers engaged in riskier dietary behaviors such as frequent ultra-processed food intake (p < 0.01) and snacking (p < 0.001), were less active, and reported high stress and less craving control during peak-lockdown. Of those gaining >5 lbs, 33% continued to gain weight after the lockdown eased, while 28% maintain higher body weight. In weight-gainers, takeout meal frequency increased, and high ultra-processed food intake and stress, and low craving control continued to persist after the lockdown eased. CONCLUSION: We show that the COVID-19 lockdown periods disrupted weight management among many Americans and that associated health effects are likely to persist. |*COVID-19/epidemiology/physiopathology/prevention & control[MESH] |*Feeding Behavior[MESH] |*Life Style[MESH] |*Pandemics[MESH] |*Quarantine[MESH] |*Risk-Taking[MESH] |*SARS-CoV-2[MESH] |*Weight Gain[MESH] |Adult[MESH] |Female[MESH] |Humans[MESH] |Male[MESH] |Middle Aged[MESH]Longitudinal Weight Gain and Related Risk Behaviors during the COVID-1(epmc).pdf DeepDyve Pubget Overpricing