Patterns and predictors of adherence to health-protective measures during COVID-19 pandemic in the UK: cross-sectional and longitudinal findings from the HEBECO study

Background Adherence to health-protective behaviours (regularly washing hands, wearing masks indoors, maintaining physical distancing, carrying disinfectant) remains paramount for the successful control of COVID-19 at population level. It is therefore important to monitor adherence and to identify f...
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Autor*in:	Kale, Dimitra [verfasserIn] Herbec, Aleksandra Beard, Emma Gold, Natalie Shahab, Lion

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	Adherence Health-protective measures COVID-19 UK Behaviour Wash hands Wear masks Physical distance Disinfectant

Anmerkung:	© The Author(s) 2022

Übergeordnetes Werk:	Enthalten in: BMC public health - London : BioMed Central, 2001, 22(2022), 1 vom: 14. Dez.
Übergeordnetes Werk:	volume:22 ; year:2022 ; number:1 ; day:14 ; month:12

Links:	Volltext

DOI / URN:	10.1186/s12889-022-14509-7

Katalog-ID:	SPR051234513

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520			\|a Background Adherence to health-protective behaviours (regularly washing hands, wearing masks indoors, maintaining physical distancing, carrying disinfectant) remains paramount for the successful control of COVID-19 at population level. It is therefore important to monitor adherence and to identify factors associated with it. This study assessed: 1) rates of adherence, to key COVID-19 health-protective behaviours and 2) the socio-demographic, health and COVID-19-related factors associated with adherence. Methods Data were collected on a sample of UK-based adults during August–September 2020 (n = 1,969; lockdown restrictions were eased in the UK; period 1) and November 2020- January 2021 (n = 1944; second UK lockdown; period 2). Results Adherence ranged between 50–95%, with higher adherence during the period of stricter measures. Highest adherence was observed for wearing masks indoors (period 1: 80.2%, 95%CI 78.4%-82.0%, period 2: 92.4%, 95%CI 91.1%-93.6%) and lowest for carrying own disinfectant (period 1: 48.4%, 95%CI 46.2%-50.7%, period 2: 50.7%, 95%CI 48.4%-53.0%). Generalized estimating equation models indicated that key factors of greater odds of adherence included being female, older age, having higher income, residing in England, living with vulnerable individuals and perceived high risk of COVID-19. Conclusions Targeted messages to different demographic groups may enhance adherence to health-protective behaviours, which is paramount for the control of airborne respiratory diseases. Protocol and analysis plan Registration The analysis plan was pre-registered, and it is available at https://osf.io/6tnc9/.
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allfields	10.1186/s12889-022-14509-7 doi (DE-627)SPR051234513 (SPR)s12889-022-14509-7-e DE-627 ger DE-627 rakwb eng Kale, Dimitra verfasserin aut Patterns and predictors of adherence to health-protective measures during COVID-19 pandemic in the UK: cross-sectional and longitudinal findings from the HEBECO study 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Background Adherence to health-protective behaviours (regularly washing hands, wearing masks indoors, maintaining physical distancing, carrying disinfectant) remains paramount for the successful control of COVID-19 at population level. It is therefore important to monitor adherence and to identify factors associated with it. This study assessed: 1) rates of adherence, to key COVID-19 health-protective behaviours and 2) the socio-demographic, health and COVID-19-related factors associated with adherence. Methods Data were collected on a sample of UK-based adults during August–September 2020 (n = 1,969; lockdown restrictions were eased in the UK; period 1) and November 2020- January 2021 (n = 1944; second UK lockdown; period 2). Results Adherence ranged between 50–95%, with higher adherence during the period of stricter measures. Highest adherence was observed for wearing masks indoors (period 1: 80.2%, 95%CI 78.4%-82.0%, period 2: 92.4%, 95%CI 91.1%-93.6%) and lowest for carrying own disinfectant (period 1: 48.4%, 95%CI 46.2%-50.7%, period 2: 50.7%, 95%CI 48.4%-53.0%). Generalized estimating equation models indicated that key factors of greater odds of adherence included being female, older age, having higher income, residing in England, living with vulnerable individuals and perceived high risk of COVID-19. Conclusions Targeted messages to different demographic groups may enhance adherence to health-protective behaviours, which is paramount for the control of airborne respiratory diseases. Protocol and analysis plan Registration The analysis plan was pre-registered, and it is available at https://osf.io/6tnc9/. Adherence (dpeaa)DE-He213 Health-protective measures (dpeaa)DE-He213 COVID-19 (dpeaa)DE-He213 UK (dpeaa)DE-He213 Behaviour (dpeaa)DE-He213 Wash hands (dpeaa)DE-He213 Wear masks (dpeaa)DE-He213 Physical distance (dpeaa)DE-He213 Disinfectant (dpeaa)DE-He213 Herbec, Aleksandra aut Beard, Emma aut Gold, Natalie aut Shahab, Lion aut Enthalten in BMC public health London : BioMed Central, 2001 22(2022), 1 vom: 14. Dez. (DE-627)326643583 (DE-600)2041338-5 1471-2458 nnns volume:22 year:2022 number:1 day:14 month:12 https://dx.doi.org/10.1186/s12889-022-14509-7 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 22 2022 1 14 12
spelling	10.1186/s12889-022-14509-7 doi (DE-627)SPR051234513 (SPR)s12889-022-14509-7-e DE-627 ger DE-627 rakwb eng Kale, Dimitra verfasserin aut Patterns and predictors of adherence to health-protective measures during COVID-19 pandemic in the UK: cross-sectional and longitudinal findings from the HEBECO study 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Background Adherence to health-protective behaviours (regularly washing hands, wearing masks indoors, maintaining physical distancing, carrying disinfectant) remains paramount for the successful control of COVID-19 at population level. It is therefore important to monitor adherence and to identify factors associated with it. This study assessed: 1) rates of adherence, to key COVID-19 health-protective behaviours and 2) the socio-demographic, health and COVID-19-related factors associated with adherence. Methods Data were collected on a sample of UK-based adults during August–September 2020 (n = 1,969; lockdown restrictions were eased in the UK; period 1) and November 2020- January 2021 (n = 1944; second UK lockdown; period 2). Results Adherence ranged between 50–95%, with higher adherence during the period of stricter measures. Highest adherence was observed for wearing masks indoors (period 1: 80.2%, 95%CI 78.4%-82.0%, period 2: 92.4%, 95%CI 91.1%-93.6%) and lowest for carrying own disinfectant (period 1: 48.4%, 95%CI 46.2%-50.7%, period 2: 50.7%, 95%CI 48.4%-53.0%). Generalized estimating equation models indicated that key factors of greater odds of adherence included being female, older age, having higher income, residing in England, living with vulnerable individuals and perceived high risk of COVID-19. Conclusions Targeted messages to different demographic groups may enhance adherence to health-protective behaviours, which is paramount for the control of airborne respiratory diseases. Protocol and analysis plan Registration The analysis plan was pre-registered, and it is available at https://osf.io/6tnc9/. Adherence (dpeaa)DE-He213 Health-protective measures (dpeaa)DE-He213 COVID-19 (dpeaa)DE-He213 UK (dpeaa)DE-He213 Behaviour (dpeaa)DE-He213 Wash hands (dpeaa)DE-He213 Wear masks (dpeaa)DE-He213 Physical distance (dpeaa)DE-He213 Disinfectant (dpeaa)DE-He213 Herbec, Aleksandra aut Beard, Emma aut Gold, Natalie aut Shahab, Lion aut Enthalten in BMC public health London : BioMed Central, 2001 22(2022), 1 vom: 14. Dez. (DE-627)326643583 (DE-600)2041338-5 1471-2458 nnns volume:22 year:2022 number:1 day:14 month:12 https://dx.doi.org/10.1186/s12889-022-14509-7 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 22 2022 1 14 12
allfields_unstemmed	10.1186/s12889-022-14509-7 doi (DE-627)SPR051234513 (SPR)s12889-022-14509-7-e DE-627 ger DE-627 rakwb eng Kale, Dimitra verfasserin aut Patterns and predictors of adherence to health-protective measures during COVID-19 pandemic in the UK: cross-sectional and longitudinal findings from the HEBECO study 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Background Adherence to health-protective behaviours (regularly washing hands, wearing masks indoors, maintaining physical distancing, carrying disinfectant) remains paramount for the successful control of COVID-19 at population level. It is therefore important to monitor adherence and to identify factors associated with it. This study assessed: 1) rates of adherence, to key COVID-19 health-protective behaviours and 2) the socio-demographic, health and COVID-19-related factors associated with adherence. Methods Data were collected on a sample of UK-based adults during August–September 2020 (n = 1,969; lockdown restrictions were eased in the UK; period 1) and November 2020- January 2021 (n = 1944; second UK lockdown; period 2). Results Adherence ranged between 50–95%, with higher adherence during the period of stricter measures. Highest adherence was observed for wearing masks indoors (period 1: 80.2%, 95%CI 78.4%-82.0%, period 2: 92.4%, 95%CI 91.1%-93.6%) and lowest for carrying own disinfectant (period 1: 48.4%, 95%CI 46.2%-50.7%, period 2: 50.7%, 95%CI 48.4%-53.0%). Generalized estimating equation models indicated that key factors of greater odds of adherence included being female, older age, having higher income, residing in England, living with vulnerable individuals and perceived high risk of COVID-19. Conclusions Targeted messages to different demographic groups may enhance adherence to health-protective behaviours, which is paramount for the control of airborne respiratory diseases. Protocol and analysis plan Registration The analysis plan was pre-registered, and it is available at https://osf.io/6tnc9/. Adherence (dpeaa)DE-He213 Health-protective measures (dpeaa)DE-He213 COVID-19 (dpeaa)DE-He213 UK (dpeaa)DE-He213 Behaviour (dpeaa)DE-He213 Wash hands (dpeaa)DE-He213 Wear masks (dpeaa)DE-He213 Physical distance (dpeaa)DE-He213 Disinfectant (dpeaa)DE-He213 Herbec, Aleksandra aut Beard, Emma aut Gold, Natalie aut Shahab, Lion aut Enthalten in BMC public health London : BioMed Central, 2001 22(2022), 1 vom: 14. Dez. (DE-627)326643583 (DE-600)2041338-5 1471-2458 nnns volume:22 year:2022 number:1 day:14 month:12 https://dx.doi.org/10.1186/s12889-022-14509-7 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 22 2022 1 14 12
allfieldsGer	10.1186/s12889-022-14509-7 doi (DE-627)SPR051234513 (SPR)s12889-022-14509-7-e DE-627 ger DE-627 rakwb eng Kale, Dimitra verfasserin aut Patterns and predictors of adherence to health-protective measures during COVID-19 pandemic in the UK: cross-sectional and longitudinal findings from the HEBECO study 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Background Adherence to health-protective behaviours (regularly washing hands, wearing masks indoors, maintaining physical distancing, carrying disinfectant) remains paramount for the successful control of COVID-19 at population level. It is therefore important to monitor adherence and to identify factors associated with it. This study assessed: 1) rates of adherence, to key COVID-19 health-protective behaviours and 2) the socio-demographic, health and COVID-19-related factors associated with adherence. Methods Data were collected on a sample of UK-based adults during August–September 2020 (n = 1,969; lockdown restrictions were eased in the UK; period 1) and November 2020- January 2021 (n = 1944; second UK lockdown; period 2). Results Adherence ranged between 50–95%, with higher adherence during the period of stricter measures. Highest adherence was observed for wearing masks indoors (period 1: 80.2%, 95%CI 78.4%-82.0%, period 2: 92.4%, 95%CI 91.1%-93.6%) and lowest for carrying own disinfectant (period 1: 48.4%, 95%CI 46.2%-50.7%, period 2: 50.7%, 95%CI 48.4%-53.0%). Generalized estimating equation models indicated that key factors of greater odds of adherence included being female, older age, having higher income, residing in England, living with vulnerable individuals and perceived high risk of COVID-19. Conclusions Targeted messages to different demographic groups may enhance adherence to health-protective behaviours, which is paramount for the control of airborne respiratory diseases. Protocol and analysis plan Registration The analysis plan was pre-registered, and it is available at https://osf.io/6tnc9/. Adherence (dpeaa)DE-He213 Health-protective measures (dpeaa)DE-He213 COVID-19 (dpeaa)DE-He213 UK (dpeaa)DE-He213 Behaviour (dpeaa)DE-He213 Wash hands (dpeaa)DE-He213 Wear masks (dpeaa)DE-He213 Physical distance (dpeaa)DE-He213 Disinfectant (dpeaa)DE-He213 Herbec, Aleksandra aut Beard, Emma aut Gold, Natalie aut Shahab, Lion aut Enthalten in BMC public health London : BioMed Central, 2001 22(2022), 1 vom: 14. Dez. (DE-627)326643583 (DE-600)2041338-5 1471-2458 nnns volume:22 year:2022 number:1 day:14 month:12 https://dx.doi.org/10.1186/s12889-022-14509-7 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 22 2022 1 14 12
allfieldsSound	10.1186/s12889-022-14509-7 doi (DE-627)SPR051234513 (SPR)s12889-022-14509-7-e DE-627 ger DE-627 rakwb eng Kale, Dimitra verfasserin aut Patterns and predictors of adherence to health-protective measures during COVID-19 pandemic in the UK: cross-sectional and longitudinal findings from the HEBECO study 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 Background Adherence to health-protective behaviours (regularly washing hands, wearing masks indoors, maintaining physical distancing, carrying disinfectant) remains paramount for the successful control of COVID-19 at population level. It is therefore important to monitor adherence and to identify factors associated with it. This study assessed: 1) rates of adherence, to key COVID-19 health-protective behaviours and 2) the socio-demographic, health and COVID-19-related factors associated with adherence. Methods Data were collected on a sample of UK-based adults during August–September 2020 (n = 1,969; lockdown restrictions were eased in the UK; period 1) and November 2020- January 2021 (n = 1944; second UK lockdown; period 2). Results Adherence ranged between 50–95%, with higher adherence during the period of stricter measures. Highest adherence was observed for wearing masks indoors (period 1: 80.2%, 95%CI 78.4%-82.0%, period 2: 92.4%, 95%CI 91.1%-93.6%) and lowest for carrying own disinfectant (period 1: 48.4%, 95%CI 46.2%-50.7%, period 2: 50.7%, 95%CI 48.4%-53.0%). Generalized estimating equation models indicated that key factors of greater odds of adherence included being female, older age, having higher income, residing in England, living with vulnerable individuals and perceived high risk of COVID-19. Conclusions Targeted messages to different demographic groups may enhance adherence to health-protective behaviours, which is paramount for the control of airborne respiratory diseases. Protocol and analysis plan Registration The analysis plan was pre-registered, and it is available at https://osf.io/6tnc9/. Adherence (dpeaa)DE-He213 Health-protective measures (dpeaa)DE-He213 COVID-19 (dpeaa)DE-He213 UK (dpeaa)DE-He213 Behaviour (dpeaa)DE-He213 Wash hands (dpeaa)DE-He213 Wear masks (dpeaa)DE-He213 Physical distance (dpeaa)DE-He213 Disinfectant (dpeaa)DE-He213 Herbec, Aleksandra aut Beard, Emma aut Gold, Natalie aut Shahab, Lion aut Enthalten in BMC public health London : BioMed Central, 2001 22(2022), 1 vom: 14. Dez. (DE-627)326643583 (DE-600)2041338-5 1471-2458 nnns volume:22 year:2022 number:1 day:14 month:12 https://dx.doi.org/10.1186/s12889-022-14509-7 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 22 2022 1 14 12
language	English
source	Enthalten in BMC public health 22(2022), 1 vom: 14. Dez. volume:22 year:2022 number:1 day:14 month:12
sourceStr	Enthalten in BMC public health 22(2022), 1 vom: 14. Dez. volume:22 year:2022 number:1 day:14 month:12
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Adherence Health-protective measures COVID-19 UK Behaviour Wash hands Wear masks Physical distance Disinfectant
isfreeaccess_bool	true
container_title	BMC public health
authorswithroles_txt_mv	Kale, Dimitra @@aut@@ Herbec, Aleksandra @@aut@@ Beard, Emma @@aut@@ Gold, Natalie @@aut@@ Shahab, Lion @@aut@@
publishDateDaySort_date	2022-12-14T00:00:00Z
hierarchy_top_id	326643583
id	SPR051234513
language_de	englisch
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Generalized estimating equation models indicated that key factors of greater odds of adherence included being female, older age, having higher income, residing in England, living with vulnerable individuals and perceived high risk of COVID-19. Conclusions Targeted messages to different demographic groups may enhance adherence to health-protective behaviours, which is paramount for the control of airborne respiratory diseases. 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author	Kale, Dimitra
spellingShingle	Kale, Dimitra misc Adherence misc Health-protective measures misc COVID-19 misc UK misc Behaviour misc Wash hands misc Wear masks misc Physical distance misc Disinfectant Patterns and predictors of adherence to health-protective measures during COVID-19 pandemic in the UK: cross-sectional and longitudinal findings from the HEBECO study
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topic_title	Patterns and predictors of adherence to health-protective measures during COVID-19 pandemic in the UK: cross-sectional and longitudinal findings from the HEBECO study Adherence (dpeaa)DE-He213 Health-protective measures (dpeaa)DE-He213 COVID-19 (dpeaa)DE-He213 UK (dpeaa)DE-He213 Behaviour (dpeaa)DE-He213 Wash hands (dpeaa)DE-He213 Wear masks (dpeaa)DE-He213 Physical distance (dpeaa)DE-He213 Disinfectant (dpeaa)DE-He213
topic	misc Adherence misc Health-protective measures misc COVID-19 misc UK misc Behaviour misc Wash hands misc Wear masks misc Physical distance misc Disinfectant
topic_unstemmed	misc Adherence misc Health-protective measures misc COVID-19 misc UK misc Behaviour misc Wash hands misc Wear masks misc Physical distance misc Disinfectant
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title	Patterns and predictors of adherence to health-protective measures during COVID-19 pandemic in the UK: cross-sectional and longitudinal findings from the HEBECO study
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title_full	Patterns and predictors of adherence to health-protective measures during COVID-19 pandemic in the UK: cross-sectional and longitudinal findings from the HEBECO study
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author_browse	Kale, Dimitra Herbec, Aleksandra Beard, Emma Gold, Natalie Shahab, Lion
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doi_str_mv	10.1186/s12889-022-14509-7
title_sort	patterns and predictors of adherence to health-protective measures during covid-19 pandemic in the uk: cross-sectional and longitudinal findings from the hebeco study
title_auth	Patterns and predictors of adherence to health-protective measures during COVID-19 pandemic in the UK: cross-sectional and longitudinal findings from the HEBECO study
abstract	Background Adherence to health-protective behaviours (regularly washing hands, wearing masks indoors, maintaining physical distancing, carrying disinfectant) remains paramount for the successful control of COVID-19 at population level. It is therefore important to monitor adherence and to identify factors associated with it. This study assessed: 1) rates of adherence, to key COVID-19 health-protective behaviours and 2) the socio-demographic, health and COVID-19-related factors associated with adherence. Methods Data were collected on a sample of UK-based adults during August–September 2020 (n = 1,969; lockdown restrictions were eased in the UK; period 1) and November 2020- January 2021 (n = 1944; second UK lockdown; period 2). Results Adherence ranged between 50–95%, with higher adherence during the period of stricter measures. Highest adherence was observed for wearing masks indoors (period 1: 80.2%, 95%CI 78.4%-82.0%, period 2: 92.4%, 95%CI 91.1%-93.6%) and lowest for carrying own disinfectant (period 1: 48.4%, 95%CI 46.2%-50.7%, period 2: 50.7%, 95%CI 48.4%-53.0%). Generalized estimating equation models indicated that key factors of greater odds of adherence included being female, older age, having higher income, residing in England, living with vulnerable individuals and perceived high risk of COVID-19. Conclusions Targeted messages to different demographic groups may enhance adherence to health-protective behaviours, which is paramount for the control of airborne respiratory diseases. Protocol and analysis plan Registration The analysis plan was pre-registered, and it is available at https://osf.io/6tnc9/. © The Author(s) 2022
abstractGer	Background Adherence to health-protective behaviours (regularly washing hands, wearing masks indoors, maintaining physical distancing, carrying disinfectant) remains paramount for the successful control of COVID-19 at population level. It is therefore important to monitor adherence and to identify factors associated with it. This study assessed: 1) rates of adherence, to key COVID-19 health-protective behaviours and 2) the socio-demographic, health and COVID-19-related factors associated with adherence. Methods Data were collected on a sample of UK-based adults during August–September 2020 (n = 1,969; lockdown restrictions were eased in the UK; period 1) and November 2020- January 2021 (n = 1944; second UK lockdown; period 2). Results Adherence ranged between 50–95%, with higher adherence during the period of stricter measures. Highest adherence was observed for wearing masks indoors (period 1: 80.2%, 95%CI 78.4%-82.0%, period 2: 92.4%, 95%CI 91.1%-93.6%) and lowest for carrying own disinfectant (period 1: 48.4%, 95%CI 46.2%-50.7%, period 2: 50.7%, 95%CI 48.4%-53.0%). Generalized estimating equation models indicated that key factors of greater odds of adherence included being female, older age, having higher income, residing in England, living with vulnerable individuals and perceived high risk of COVID-19. Conclusions Targeted messages to different demographic groups may enhance adherence to health-protective behaviours, which is paramount for the control of airborne respiratory diseases. Protocol and analysis plan Registration The analysis plan was pre-registered, and it is available at https://osf.io/6tnc9/. © The Author(s) 2022
abstract_unstemmed	Background Adherence to health-protective behaviours (regularly washing hands, wearing masks indoors, maintaining physical distancing, carrying disinfectant) remains paramount for the successful control of COVID-19 at population level. It is therefore important to monitor adherence and to identify factors associated with it. This study assessed: 1) rates of adherence, to key COVID-19 health-protective behaviours and 2) the socio-demographic, health and COVID-19-related factors associated with adherence. Methods Data were collected on a sample of UK-based adults during August–September 2020 (n = 1,969; lockdown restrictions were eased in the UK; period 1) and November 2020- January 2021 (n = 1944; second UK lockdown; period 2). Results Adherence ranged between 50–95%, with higher adherence during the period of stricter measures. Highest adherence was observed for wearing masks indoors (period 1: 80.2%, 95%CI 78.4%-82.0%, period 2: 92.4%, 95%CI 91.1%-93.6%) and lowest for carrying own disinfectant (period 1: 48.4%, 95%CI 46.2%-50.7%, period 2: 50.7%, 95%CI 48.4%-53.0%). Generalized estimating equation models indicated that key factors of greater odds of adherence included being female, older age, having higher income, residing in England, living with vulnerable individuals and perceived high risk of COVID-19. Conclusions Targeted messages to different demographic groups may enhance adherence to health-protective behaviours, which is paramount for the control of airborne respiratory diseases. Protocol and analysis plan Registration The analysis plan was pre-registered, and it is available at https://osf.io/6tnc9/. © The Author(s) 2022
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title_short	Patterns and predictors of adherence to health-protective measures during COVID-19 pandemic in the UK: cross-sectional and longitudinal findings from the HEBECO study
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Patterns and predictors of adherence to health-protective measures during COVID-19 pandemic in the UK: cross-sectional and longitudinal findings from the HEBECO study

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