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10.1177/14604582211017944 http://scihub22266oqcxt.onion/10.1177/14604582211017944 34044657!ä!34044657 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 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Health+Informatics+J 2021 ; 27 (2): 14604582211017944 Nephropedia Template TP {{tp|p=34044657|t=2021. How the Wakamola chatbot studied a university community s lifestyle during the COVID-19 confinement |pdf=|usr=}}{{34044657}} gab.com Text How the Wakamola chatbot studied a university community s lifestyle during the COVID-19 confinement JO: Health Informatics J http://www.kidney.de/pget.php?&tw=1&pmid=34044657 #FOAvip This work aimed to study the effect of confinement on weight and lifestyle using the Wakamola chatbot to collect data from 739 adults divided into two groups (341 case-control, 398 confinement). Nutrition score (0-100 scale) improved for men (medians 81.77-82.29, p < 0.05), with no difference for women (medians 82.29 in both cases). Both genders reduced the consumption of sweetmeats and sugared drinks (p < 0.01); men increased their consumption of vegetables, salad, and legumes (p < 0.01). Both genders reduced their physical activity score (men 100-40.14, p < 0.01, women 80.42-36.12, p < 0.01). Women sat less hours/week, men's medians 28.81-28.27, women's medians 35.97-23.33, p = 0.03. Both genders slept longer (hours/day), men 7-7.5, women 7-8 (p < 0.01) (medians). Their overall health score was significantly reduced (men 85.06-74.05, p < 0.01, women 84.47-72.42, p < 0.01), with no significant weight difference in either gender. Wakamola helped to contact participants and confirm changes in their lifestyle during confinement. Twit Text FOAVip How the Wakamola chatbot studied a university community s lifestyle during the COVID-19 confinement ????Health Informatics J http://www.kidney.de/pget.php?&tw=1&pmid=34044657 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34044657 #FOAvip English Wikipedia <ref>{{Cite pmid|34044657}}</ref> How the Wakamola chatbot studied a university community s lifestyle during the COVID-19 confinement #MMPMID34044657 Asensio-Cuesta S; Blanes-Selva V; Portoles M; Conejero JA; Garcia-Gomez JM Health Informatics J 2021[Apr]; 27 (2): 14604582211017944 PMID34044657show ga This work aimed to study the effect of confinement on weight and lifestyle using the Wakamola chatbot to collect data from 739 adults divided into two groups (341 case-control, 398 confinement). Nutrition score (0-100 scale) improved for men (medians 81.77-82.29, p < 0.05), with no difference for women (medians 82.29 in both cases). Both genders reduced the consumption of sweetmeats and sugared drinks (p < 0.01); men increased their consumption of vegetables, salad, and legumes (p < 0.01). Both genders reduced their physical activity score (men 100-40.14, p < 0.01, women 80.42-36.12, p < 0.01). Women sat less hours/week, men's medians 28.81-28.27, women's medians 35.97-23.33, p = 0.03. Both genders slept longer (hours/day), men 7-7.5, women 7-8 (p < 0.01) (medians). Their overall health score was significantly reduced (men 85.06-74.05, p < 0.01, women 84.47-72.42, p < 0.01), with no significant weight difference in either gender. Wakamola helped to contact participants and confirm changes in their lifestyle during confinement. |*COVID-19[MESH] |Adult[MESH] |Exercise[MESH] |Female[MESH] |Humans[MESH] |Life Style[MESH] |Male[MESH] |SARS-CoV-2[MESH]How the Wakamola chatbot studied a university community s lifestyle du(epmc).pdf DeepDyve Pubget Overpricing