Is there scope for community health nurses to address lifestyle risk factors? the community nursing SNAP trial

Background This paper examines the opportunity and need for lifestyle interventions for patients attending generalist community nursing services in Australia. This will help determine the scope for risk factor management within community health care by generalist community nurses (GCNs). Methods Thi...
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Autor*in:	Chan, Bibiana C [verfasserIn] Laws, Rachel A Williams, Anna M Davies, Gawaine Powell Fanaian, Mahnaz Harris, Mark F

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2012

Schlagwörter:	Lifestyle Intervention Torres Strait Islander Community Nursing Lifestyle Risk Factor Lifestyle Advice

Anmerkung:	© Chan et al; licensee BioMed Central Ltd. 2012

Übergeordnetes Werk:	Enthalten in: BMC nursing - London : BioMed Central, 2002, 11(2012), 1 vom: 15. März
Übergeordnetes Werk:	volume:11 ; year:2012 ; number:1 ; day:15 ; month:03

Links:	Volltext

DOI / URN:	10.1186/1472-6955-11-4

Katalog-ID:	SPR028223039

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520			\|a Background This paper examines the opportunity and need for lifestyle interventions for patients attending generalist community nursing services in Australia. This will help determine the scope for risk factor management within community health care by generalist community nurses (GCNs). Methods This was a quasi-experimental study conducted in four generalist community nursing services in NSW, Australia. Prior to service contacts, clients were offered a computer-assisted telephone interview to collect baseline data on socio-demographics, health conditions, smoking status, physical activity levels, alcohol consumption, height and weight, fruit and vegetable intake and 'readiness-to-change' for lifestyle risk factors. Results 804 clients participated (a response rate of 34.1%). Participants had higher rates of obesity (40.5% vs 32.1%) and higher prevalence of multiple risk factors (40.4% vs 29.5%) than in the general population. Few with a SNAPW (S moking-N utrition-A lcohol-P hysical-Activity-Weight) risk factor had received advice or referral in the previous 3 months. The proportion of clients identified as at risk and who were open to change (i.e. contemplative, in preparation or in action phase) were 65.0% for obese/overweight; 73.8% for smokers; 48.2% for individuals with high alcohol intake; 83.5% for the physically inactive and 59.0% for those with poor nutrition. Conclusions There was high prevalence of lifestyle risk factors. Although most were ready to change, few clients recalled having received any recent lifestyle advice. This suggests that there is considerable scope for intervention by GCNs. The results of this trial will shed light on how best to implement the lifestyle risk factor management in routine practice.
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allfields	10.1186/1472-6955-11-4 doi (DE-627)SPR028223039 (SPR)1472-6955-11-4-e DE-627 ger DE-627 rakwb eng Chan, Bibiana C verfasserin aut Is there scope for community health nurses to address lifestyle risk factors? the community nursing SNAP trial 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Chan et al; licensee BioMed Central Ltd. 2012 Background This paper examines the opportunity and need for lifestyle interventions for patients attending generalist community nursing services in Australia. This will help determine the scope for risk factor management within community health care by generalist community nurses (GCNs). Methods This was a quasi-experimental study conducted in four generalist community nursing services in NSW, Australia. Prior to service contacts, clients were offered a computer-assisted telephone interview to collect baseline data on socio-demographics, health conditions, smoking status, physical activity levels, alcohol consumption, height and weight, fruit and vegetable intake and 'readiness-to-change' for lifestyle risk factors. Results 804 clients participated (a response rate of 34.1%). Participants had higher rates of obesity (40.5% vs 32.1%) and higher prevalence of multiple risk factors (40.4% vs 29.5%) than in the general population. Few with a SNAPW (S moking-N utrition-A lcohol-P hysical-Activity-Weight) risk factor had received advice or referral in the previous 3 months. The proportion of clients identified as at risk and who were open to change (i.e. contemplative, in preparation or in action phase) were 65.0% for obese/overweight; 73.8% for smokers; 48.2% for individuals with high alcohol intake; 83.5% for the physically inactive and 59.0% for those with poor nutrition. Conclusions There was high prevalence of lifestyle risk factors. Although most were ready to change, few clients recalled having received any recent lifestyle advice. This suggests that there is considerable scope for intervention by GCNs. The results of this trial will shed light on how best to implement the lifestyle risk factor management in routine practice. Lifestyle Intervention (dpeaa)DE-He213 Torres Strait Islander (dpeaa)DE-He213 Community Nursing (dpeaa)DE-He213 Lifestyle Risk Factor (dpeaa)DE-He213 Lifestyle Advice (dpeaa)DE-He213 Laws, Rachel A aut Williams, Anna M aut Davies, Gawaine Powell aut Fanaian, Mahnaz aut Harris, Mark F aut Enthalten in BMC nursing London : BioMed Central, 2002 11(2012), 1 vom: 15. März (DE-627)355492318 (DE-600)2091496-9 1472-6955 nnns volume:11 year:2012 number:1 day:15 month:03 https://dx.doi.org/10.1186/1472-6955-11-4 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2068 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4246 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 11 2012 1 15 03
spelling	10.1186/1472-6955-11-4 doi (DE-627)SPR028223039 (SPR)1472-6955-11-4-e DE-627 ger DE-627 rakwb eng Chan, Bibiana C verfasserin aut Is there scope for community health nurses to address lifestyle risk factors? the community nursing SNAP trial 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Chan et al; licensee BioMed Central Ltd. 2012 Background This paper examines the opportunity and need for lifestyle interventions for patients attending generalist community nursing services in Australia. This will help determine the scope for risk factor management within community health care by generalist community nurses (GCNs). Methods This was a quasi-experimental study conducted in four generalist community nursing services in NSW, Australia. Prior to service contacts, clients were offered a computer-assisted telephone interview to collect baseline data on socio-demographics, health conditions, smoking status, physical activity levels, alcohol consumption, height and weight, fruit and vegetable intake and 'readiness-to-change' for lifestyle risk factors. Results 804 clients participated (a response rate of 34.1%). Participants had higher rates of obesity (40.5% vs 32.1%) and higher prevalence of multiple risk factors (40.4% vs 29.5%) than in the general population. Few with a SNAPW (S moking-N utrition-A lcohol-P hysical-Activity-Weight) risk factor had received advice or referral in the previous 3 months. The proportion of clients identified as at risk and who were open to change (i.e. contemplative, in preparation or in action phase) were 65.0% for obese/overweight; 73.8% for smokers; 48.2% for individuals with high alcohol intake; 83.5% for the physically inactive and 59.0% for those with poor nutrition. Conclusions There was high prevalence of lifestyle risk factors. Although most were ready to change, few clients recalled having received any recent lifestyle advice. This suggests that there is considerable scope for intervention by GCNs. The results of this trial will shed light on how best to implement the lifestyle risk factor management in routine practice. Lifestyle Intervention (dpeaa)DE-He213 Torres Strait Islander (dpeaa)DE-He213 Community Nursing (dpeaa)DE-He213 Lifestyle Risk Factor (dpeaa)DE-He213 Lifestyle Advice (dpeaa)DE-He213 Laws, Rachel A aut Williams, Anna M aut Davies, Gawaine Powell aut Fanaian, Mahnaz aut Harris, Mark F aut Enthalten in BMC nursing London : BioMed Central, 2002 11(2012), 1 vom: 15. März (DE-627)355492318 (DE-600)2091496-9 1472-6955 nnns volume:11 year:2012 number:1 day:15 month:03 https://dx.doi.org/10.1186/1472-6955-11-4 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2068 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4246 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 11 2012 1 15 03
allfields_unstemmed	10.1186/1472-6955-11-4 doi (DE-627)SPR028223039 (SPR)1472-6955-11-4-e DE-627 ger DE-627 rakwb eng Chan, Bibiana C verfasserin aut Is there scope for community health nurses to address lifestyle risk factors? the community nursing SNAP trial 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Chan et al; licensee BioMed Central Ltd. 2012 Background This paper examines the opportunity and need for lifestyle interventions for patients attending generalist community nursing services in Australia. This will help determine the scope for risk factor management within community health care by generalist community nurses (GCNs). Methods This was a quasi-experimental study conducted in four generalist community nursing services in NSW, Australia. Prior to service contacts, clients were offered a computer-assisted telephone interview to collect baseline data on socio-demographics, health conditions, smoking status, physical activity levels, alcohol consumption, height and weight, fruit and vegetable intake and 'readiness-to-change' for lifestyle risk factors. Results 804 clients participated (a response rate of 34.1%). Participants had higher rates of obesity (40.5% vs 32.1%) and higher prevalence of multiple risk factors (40.4% vs 29.5%) than in the general population. Few with a SNAPW (S moking-N utrition-A lcohol-P hysical-Activity-Weight) risk factor had received advice or referral in the previous 3 months. The proportion of clients identified as at risk and who were open to change (i.e. contemplative, in preparation or in action phase) were 65.0% for obese/overweight; 73.8% for smokers; 48.2% for individuals with high alcohol intake; 83.5% for the physically inactive and 59.0% for those with poor nutrition. Conclusions There was high prevalence of lifestyle risk factors. Although most were ready to change, few clients recalled having received any recent lifestyle advice. This suggests that there is considerable scope for intervention by GCNs. The results of this trial will shed light on how best to implement the lifestyle risk factor management in routine practice. Lifestyle Intervention (dpeaa)DE-He213 Torres Strait Islander (dpeaa)DE-He213 Community Nursing (dpeaa)DE-He213 Lifestyle Risk Factor (dpeaa)DE-He213 Lifestyle Advice (dpeaa)DE-He213 Laws, Rachel A aut Williams, Anna M aut Davies, Gawaine Powell aut Fanaian, Mahnaz aut Harris, Mark F aut Enthalten in BMC nursing London : BioMed Central, 2002 11(2012), 1 vom: 15. März (DE-627)355492318 (DE-600)2091496-9 1472-6955 nnns volume:11 year:2012 number:1 day:15 month:03 https://dx.doi.org/10.1186/1472-6955-11-4 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2068 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4246 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 11 2012 1 15 03
allfieldsGer	10.1186/1472-6955-11-4 doi (DE-627)SPR028223039 (SPR)1472-6955-11-4-e DE-627 ger DE-627 rakwb eng Chan, Bibiana C verfasserin aut Is there scope for community health nurses to address lifestyle risk factors? the community nursing SNAP trial 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Chan et al; licensee BioMed Central Ltd. 2012 Background This paper examines the opportunity and need for lifestyle interventions for patients attending generalist community nursing services in Australia. This will help determine the scope for risk factor management within community health care by generalist community nurses (GCNs). Methods This was a quasi-experimental study conducted in four generalist community nursing services in NSW, Australia. Prior to service contacts, clients were offered a computer-assisted telephone interview to collect baseline data on socio-demographics, health conditions, smoking status, physical activity levels, alcohol consumption, height and weight, fruit and vegetable intake and 'readiness-to-change' for lifestyle risk factors. Results 804 clients participated (a response rate of 34.1%). Participants had higher rates of obesity (40.5% vs 32.1%) and higher prevalence of multiple risk factors (40.4% vs 29.5%) than in the general population. Few with a SNAPW (S moking-N utrition-A lcohol-P hysical-Activity-Weight) risk factor had received advice or referral in the previous 3 months. The proportion of clients identified as at risk and who were open to change (i.e. contemplative, in preparation or in action phase) were 65.0% for obese/overweight; 73.8% for smokers; 48.2% for individuals with high alcohol intake; 83.5% for the physically inactive and 59.0% for those with poor nutrition. Conclusions There was high prevalence of lifestyle risk factors. Although most were ready to change, few clients recalled having received any recent lifestyle advice. This suggests that there is considerable scope for intervention by GCNs. The results of this trial will shed light on how best to implement the lifestyle risk factor management in routine practice. Lifestyle Intervention (dpeaa)DE-He213 Torres Strait Islander (dpeaa)DE-He213 Community Nursing (dpeaa)DE-He213 Lifestyle Risk Factor (dpeaa)DE-He213 Lifestyle Advice (dpeaa)DE-He213 Laws, Rachel A aut Williams, Anna M aut Davies, Gawaine Powell aut Fanaian, Mahnaz aut Harris, Mark F aut Enthalten in BMC nursing London : BioMed Central, 2002 11(2012), 1 vom: 15. März (DE-627)355492318 (DE-600)2091496-9 1472-6955 nnns volume:11 year:2012 number:1 day:15 month:03 https://dx.doi.org/10.1186/1472-6955-11-4 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2068 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4246 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 11 2012 1 15 03
allfieldsSound	10.1186/1472-6955-11-4 doi (DE-627)SPR028223039 (SPR)1472-6955-11-4-e DE-627 ger DE-627 rakwb eng Chan, Bibiana C verfasserin aut Is there scope for community health nurses to address lifestyle risk factors? the community nursing SNAP trial 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Chan et al; licensee BioMed Central Ltd. 2012 Background This paper examines the opportunity and need for lifestyle interventions for patients attending generalist community nursing services in Australia. This will help determine the scope for risk factor management within community health care by generalist community nurses (GCNs). Methods This was a quasi-experimental study conducted in four generalist community nursing services in NSW, Australia. Prior to service contacts, clients were offered a computer-assisted telephone interview to collect baseline data on socio-demographics, health conditions, smoking status, physical activity levels, alcohol consumption, height and weight, fruit and vegetable intake and 'readiness-to-change' for lifestyle risk factors. Results 804 clients participated (a response rate of 34.1%). Participants had higher rates of obesity (40.5% vs 32.1%) and higher prevalence of multiple risk factors (40.4% vs 29.5%) than in the general population. Few with a SNAPW (S moking-N utrition-A lcohol-P hysical-Activity-Weight) risk factor had received advice or referral in the previous 3 months. The proportion of clients identified as at risk and who were open to change (i.e. contemplative, in preparation or in action phase) were 65.0% for obese/overweight; 73.8% for smokers; 48.2% for individuals with high alcohol intake; 83.5% for the physically inactive and 59.0% for those with poor nutrition. Conclusions There was high prevalence of lifestyle risk factors. Although most were ready to change, few clients recalled having received any recent lifestyle advice. This suggests that there is considerable scope for intervention by GCNs. The results of this trial will shed light on how best to implement the lifestyle risk factor management in routine practice. Lifestyle Intervention (dpeaa)DE-He213 Torres Strait Islander (dpeaa)DE-He213 Community Nursing (dpeaa)DE-He213 Lifestyle Risk Factor (dpeaa)DE-He213 Lifestyle Advice (dpeaa)DE-He213 Laws, Rachel A aut Williams, Anna M aut Davies, Gawaine Powell aut Fanaian, Mahnaz aut Harris, Mark F aut Enthalten in BMC nursing London : BioMed Central, 2002 11(2012), 1 vom: 15. März (DE-627)355492318 (DE-600)2091496-9 1472-6955 nnns volume:11 year:2012 number:1 day:15 month:03 https://dx.doi.org/10.1186/1472-6955-11-4 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2068 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4246 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 11 2012 1 15 03
language	English
source	Enthalten in BMC nursing 11(2012), 1 vom: 15. März volume:11 year:2012 number:1 day:15 month:03
sourceStr	Enthalten in BMC nursing 11(2012), 1 vom: 15. März volume:11 year:2012 number:1 day:15 month:03
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topic_facet	Lifestyle Intervention Torres Strait Islander Community Nursing Lifestyle Risk Factor Lifestyle Advice
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authorswithroles_txt_mv	Chan, Bibiana C @@aut@@ Laws, Rachel A @@aut@@ Williams, Anna M @@aut@@ Davies, Gawaine Powell @@aut@@ Fanaian, Mahnaz @@aut@@ Harris, Mark F @@aut@@
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author	Chan, Bibiana C
spellingShingle	Chan, Bibiana C misc Lifestyle Intervention misc Torres Strait Islander misc Community Nursing misc Lifestyle Risk Factor misc Lifestyle Advice Is there scope for community health nurses to address lifestyle risk factors? the community nursing SNAP trial
authorStr	Chan, Bibiana C
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topic_title	Is there scope for community health nurses to address lifestyle risk factors? the community nursing SNAP trial Lifestyle Intervention (dpeaa)DE-He213 Torres Strait Islander (dpeaa)DE-He213 Community Nursing (dpeaa)DE-He213 Lifestyle Risk Factor (dpeaa)DE-He213 Lifestyle Advice (dpeaa)DE-He213
topic	misc Lifestyle Intervention misc Torres Strait Islander misc Community Nursing misc Lifestyle Risk Factor misc Lifestyle Advice
topic_unstemmed	misc Lifestyle Intervention misc Torres Strait Islander misc Community Nursing misc Lifestyle Risk Factor misc Lifestyle Advice
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title	Is there scope for community health nurses to address lifestyle risk factors? the community nursing SNAP trial
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title_full	Is there scope for community health nurses to address lifestyle risk factors? the community nursing SNAP trial
author_sort	Chan, Bibiana C
journal	BMC nursing
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author_browse	Chan, Bibiana C Laws, Rachel A Williams, Anna M Davies, Gawaine Powell Fanaian, Mahnaz Harris, Mark F
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author-letter	Chan, Bibiana C
doi_str_mv	10.1186/1472-6955-11-4
title_sort	is there scope for community health nurses to address lifestyle risk factors? the community nursing snap trial
title_auth	Is there scope for community health nurses to address lifestyle risk factors? the community nursing SNAP trial
abstract	Background This paper examines the opportunity and need for lifestyle interventions for patients attending generalist community nursing services in Australia. This will help determine the scope for risk factor management within community health care by generalist community nurses (GCNs). Methods This was a quasi-experimental study conducted in four generalist community nursing services in NSW, Australia. Prior to service contacts, clients were offered a computer-assisted telephone interview to collect baseline data on socio-demographics, health conditions, smoking status, physical activity levels, alcohol consumption, height and weight, fruit and vegetable intake and 'readiness-to-change' for lifestyle risk factors. Results 804 clients participated (a response rate of 34.1%). Participants had higher rates of obesity (40.5% vs 32.1%) and higher prevalence of multiple risk factors (40.4% vs 29.5%) than in the general population. Few with a SNAPW (S moking-N utrition-A lcohol-P hysical-Activity-Weight) risk factor had received advice or referral in the previous 3 months. The proportion of clients identified as at risk and who were open to change (i.e. contemplative, in preparation or in action phase) were 65.0% for obese/overweight; 73.8% for smokers; 48.2% for individuals with high alcohol intake; 83.5% for the physically inactive and 59.0% for those with poor nutrition. Conclusions There was high prevalence of lifestyle risk factors. Although most were ready to change, few clients recalled having received any recent lifestyle advice. This suggests that there is considerable scope for intervention by GCNs. The results of this trial will shed light on how best to implement the lifestyle risk factor management in routine practice. © Chan et al; licensee BioMed Central Ltd. 2012
abstractGer	Background This paper examines the opportunity and need for lifestyle interventions for patients attending generalist community nursing services in Australia. This will help determine the scope for risk factor management within community health care by generalist community nurses (GCNs). Methods This was a quasi-experimental study conducted in four generalist community nursing services in NSW, Australia. Prior to service contacts, clients were offered a computer-assisted telephone interview to collect baseline data on socio-demographics, health conditions, smoking status, physical activity levels, alcohol consumption, height and weight, fruit and vegetable intake and 'readiness-to-change' for lifestyle risk factors. Results 804 clients participated (a response rate of 34.1%). Participants had higher rates of obesity (40.5% vs 32.1%) and higher prevalence of multiple risk factors (40.4% vs 29.5%) than in the general population. Few with a SNAPW (S moking-N utrition-A lcohol-P hysical-Activity-Weight) risk factor had received advice or referral in the previous 3 months. The proportion of clients identified as at risk and who were open to change (i.e. contemplative, in preparation or in action phase) were 65.0% for obese/overweight; 73.8% for smokers; 48.2% for individuals with high alcohol intake; 83.5% for the physically inactive and 59.0% for those with poor nutrition. Conclusions There was high prevalence of lifestyle risk factors. Although most were ready to change, few clients recalled having received any recent lifestyle advice. This suggests that there is considerable scope for intervention by GCNs. The results of this trial will shed light on how best to implement the lifestyle risk factor management in routine practice. © Chan et al; licensee BioMed Central Ltd. 2012
abstract_unstemmed	Background This paper examines the opportunity and need for lifestyle interventions for patients attending generalist community nursing services in Australia. This will help determine the scope for risk factor management within community health care by generalist community nurses (GCNs). Methods This was a quasi-experimental study conducted in four generalist community nursing services in NSW, Australia. Prior to service contacts, clients were offered a computer-assisted telephone interview to collect baseline data on socio-demographics, health conditions, smoking status, physical activity levels, alcohol consumption, height and weight, fruit and vegetable intake and 'readiness-to-change' for lifestyle risk factors. Results 804 clients participated (a response rate of 34.1%). Participants had higher rates of obesity (40.5% vs 32.1%) and higher prevalence of multiple risk factors (40.4% vs 29.5%) than in the general population. Few with a SNAPW (S moking-N utrition-A lcohol-P hysical-Activity-Weight) risk factor had received advice or referral in the previous 3 months. The proportion of clients identified as at risk and who were open to change (i.e. contemplative, in preparation or in action phase) were 65.0% for obese/overweight; 73.8% for smokers; 48.2% for individuals with high alcohol intake; 83.5% for the physically inactive and 59.0% for those with poor nutrition. Conclusions There was high prevalence of lifestyle risk factors. Although most were ready to change, few clients recalled having received any recent lifestyle advice. This suggests that there is considerable scope for intervention by GCNs. The results of this trial will shed light on how best to implement the lifestyle risk factor management in routine practice. © Chan et al; licensee BioMed Central Ltd. 2012
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title_short	Is there scope for community health nurses to address lifestyle risk factors? the community nursing SNAP trial
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author2	Laws, Rachel A Williams, Anna M Davies, Gawaine Powell Fanaian, Mahnaz Harris, Mark F
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