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10.47102/annals-acadmedsg.2020391 http://scihub22266oqcxt.onion/10.47102/annals-acadmedsg.2020391 33855318!ä!33855318 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       Ann+Acad+Med+Singap 2021 ; 50 (3): 222-231 Nephropedia Template TP {{tp|p=33855318|t=2021. Behavioural changes during the COVID-19 pandemic: Results of a nationwide survey in Singapore |pdf=|usr=}}{{33855318}} gab.com Text Behavioural changes during the COVID-19 pandemic: Results of a nationwide survey in Singapore JO: Ann Acad Med Singap http://www.kidney.de/pget.php?&tw=1&pmid=33855318 #FOAvip INTRODUCTION: As part of infection control measures for COVID-19, individuals have been encouraged to adopt both preventive (such as handwashing) and avoidant behavioural changes (e.g. avoiding crowds). In this study, we examined whether demographics predicted the likelihood that a person would adopt these behaviours in Singapore. METHODS: A total of 1,145 participants responded to an online survey conducted between 7 March and 21 April 2020. We collected demographic information and asked participants to report which of 17 behaviour changes they had undertaken because of the COVID-19 outbreak. Regression analyses were performed to predict the number of behavioural changes (preventive, avoidant, and total) as a function of demographics. Finally, we sought to identify predictors of persons who declared that they had not undertaken any of these measures following the outbreak. RESULTS: Most participants (97%) reported at least one behavioural change on account of the pandemic, with changes increasing with the number of local COVID-19 cases (P<0.001). Additionally, women and those who were younger adopted more preventive behaviours (gender: P<0.001; age: P=0.001). Women were more likely to increase handwashing frequency, and younger individuals were more likely to wear face masks prior to legislation. Finally, women and those who were married adopted more avoidant behaviours (gender: P<0.001; marital status: P<0.001), with both groups avoiding crowded areas and staying home more than usual. Women also voluntarily reduced physical contact, whereas those who were married preferentially chose outdoor venues and relied on online shopping. CONCLUSION: Our characterisation of behavioural changes provides a baseline for public health advisories. Moving forward, health authorities can focus their efforts on encouraging segments of the population who do not readily adopt infection control measures against COVID-19. Twit Text FOAVip Behavioural changes during the COVID-19 pandemic: Results of a nationwide survey in Singapore ????Ann Acad Med Singap http://www.kidney.de/pget.php?&tw=1&pmid=33855318 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33855318 #FOAvip English Wikipedia <ref>{{Cite pmid|33855318}}</ref> Behavioural changes during the COVID-19 pandemic: Results of a nationwide survey in Singapore #MMPMID33855318 Long VJE; Liu JCJ Ann Acad Med Singap 2021[Mar]; 50 (3): 222-231 PMID33855318show ga INTRODUCTION: As part of infection control measures for COVID-19, individuals have been encouraged to adopt both preventive (such as handwashing) and avoidant behavioural changes (e.g. avoiding crowds). In this study, we examined whether demographics predicted the likelihood that a person would adopt these behaviours in Singapore. METHODS: A total of 1,145 participants responded to an online survey conducted between 7 March and 21 April 2020. We collected demographic information and asked participants to report which of 17 behaviour changes they had undertaken because of the COVID-19 outbreak. Regression analyses were performed to predict the number of behavioural changes (preventive, avoidant, and total) as a function of demographics. Finally, we sought to identify predictors of persons who declared that they had not undertaken any of these measures following the outbreak. RESULTS: Most participants (97%) reported at least one behavioural change on account of the pandemic, with changes increasing with the number of local COVID-19 cases (P<0.001). Additionally, women and those who were younger adopted more preventive behaviours (gender: P<0.001; age: P=0.001). Women were more likely to increase handwashing frequency, and younger individuals were more likely to wear face masks prior to legislation. Finally, women and those who were married adopted more avoidant behaviours (gender: P<0.001; marital status: P<0.001), with both groups avoiding crowded areas and staying home more than usual. Women also voluntarily reduced physical contact, whereas those who were married preferentially chose outdoor venues and relied on online shopping. CONCLUSION: Our characterisation of behavioural changes provides a baseline for public health advisories. Moving forward, health authorities can focus their efforts on encouraging segments of the population who do not readily adopt infection control measures against COVID-19. |*Health Behavior[MESH] |*Physical Distancing[MESH] |*Risk-Taking[MESH] |Adult[MESH] |Age Factors[MESH] |Aged[MESH] |Aged, 80 and over[MESH] |COVID-19/epidemiology/*prevention & control/*psychology[MESH] |Female[MESH] |Follow-Up Studies[MESH] |Hand Disinfection/*trends[MESH] |Health Policy[MESH] |Health Surveys[MESH] |Humans[MESH] |Male[MESH] |Middle Aged[MESH] |Pandemics[MESH] |Self Report[MESH] |Sex Factors[MESH] |Singapore/epidemiology[MESH]Behavioural changes during the COVID-19 pandemic: Results of a nationw(epmc).pdf DeepDyve Pubget Overpricing