The applicability of measures of socioeconomic position to different ethnic groups within the UK

Background In this paper we seek to tease out differences in socioeconomic position between ethnic groups. There are 3 main reasons why conventional socioeconomic indicators and asset based measures may not be equally applicable to all ethnic groups: 1) Differences in response rate to conventional socioeconomic indicators 2) Cultural and social differences in economic priorities/opportunities 3) Differences in housing quality, assets and debt within socioeconomic strata Methods The sample consisted of White (n = 227), African-Caribbean (n = 213) and Indian and Pakistani (n = 233) adults aged between 18 and 59 years living in Leeds as measured in a stratified population survey. Measures included income, education, employment, car ownership, home ownership, housing quality, household assets, investments, debt, perceived ability to obtain various sums and perceived level of financial support given and received. Results Response rates to education and income questions were similar for the different ethnic groups. Overall response rates for income were much lower than those for education and biased towards wealthier people. There were differences between ethnic groups in economic priorities/opportunities particularly in relation to car ownership, home ownership, investment and debt. Differences in living conditions, household assets and debt between ethnic groups were dependent on differences in education; however differences in car ownership, home ownership, ability to obtain £10 000, and loaning money to family/friends and income from employment/self employment persisted after adjustment for education. Conclusion In the UK, education appears to be an effective variable for measuring variation in SEP across ethnic groups but the ability to account for SEP differences may be improved by the addition of car and home ownership, ability to obtain £10 000, loaning money to family/friends and income from employment/self employment. Further research is required to establish the degree to which results of this study are generalisable. Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Kelaher, Margaret [verfasserIn] Paul, Sheila Lambert, Helen Ahmad, Waqar Smith, George Davey

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2009

Schlagwörter:	Ethnic Group Home Ownership Socioeconomic Position Household Asset Minority Ethnic Group

Anmerkung:	© Kelaher et al; licensee BioMed Central Ltd. 2009

Übergeordnetes Werk:	Enthalten in: International journal for equity in health - London : BioMed Central, 2002, 8(2009), 1 vom: 27. Feb.
Übergeordnetes Werk:	volume:8 ; year:2009 ; number:1 ; day:27 ; month:02

Links:	Volltext

DOI / URN:	10.1186/1475-9276-8-4

Katalog-ID:	SPR028703081

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allfields	10.1186/1475-9276-8-4 doi (DE-627)SPR028703081 (SPR)1475-9276-8-4-e DE-627 ger DE-627 rakwb eng Kelaher, Margaret verfasserin aut The applicability of measures of socioeconomic position to different ethnic groups within the UK 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Kelaher et al; licensee BioMed Central Ltd. 2009 Background In this paper we seek to tease out differences in socioeconomic position between ethnic groups. There are 3 main reasons why conventional socioeconomic indicators and asset based measures may not be equally applicable to all ethnic groups: 1) Differences in response rate to conventional socioeconomic indicators 2) Cultural and social differences in economic priorities/opportunities 3) Differences in housing quality, assets and debt within socioeconomic strata Methods The sample consisted of White (n = 227), African-Caribbean (n = 213) and Indian and Pakistani (n = 233) adults aged between 18 and 59 years living in Leeds as measured in a stratified population survey. Measures included income, education, employment, car ownership, home ownership, housing quality, household assets, investments, debt, perceived ability to obtain various sums and perceived level of financial support given and received. Results Response rates to education and income questions were similar for the different ethnic groups. Overall response rates for income were much lower than those for education and biased towards wealthier people. There were differences between ethnic groups in economic priorities/opportunities particularly in relation to car ownership, home ownership, investment and debt. Differences in living conditions, household assets and debt between ethnic groups were dependent on differences in education; however differences in car ownership, home ownership, ability to obtain £10 000, and loaning money to family/friends and income from employment/self employment persisted after adjustment for education. Conclusion In the UK, education appears to be an effective variable for measuring variation in SEP across ethnic groups but the ability to account for SEP differences may be improved by the addition of car and home ownership, ability to obtain £10 000, loaning money to family/friends and income from employment/self employment. Further research is required to establish the degree to which results of this study are generalisable. Ethnic Group (dpeaa)DE-He213 Home Ownership (dpeaa)DE-He213 Socioeconomic Position (dpeaa)DE-He213 Household Asset (dpeaa)DE-He213 Minority Ethnic Group (dpeaa)DE-He213 Paul, Sheila aut Lambert, Helen aut Ahmad, Waqar aut Smith, George Davey aut Enthalten in International journal for equity in health London : BioMed Central, 2002 8(2009), 1 vom: 27. Feb. (DE-627)356253716 (DE-600)2092056-8 1475-9276 nnns volume:8 year:2009 number:1 day:27 month:02 https://dx.doi.org/10.1186/1475-9276-8-4 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_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_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_375 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 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_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 8 2009 1 27 02
spelling	10.1186/1475-9276-8-4 doi (DE-627)SPR028703081 (SPR)1475-9276-8-4-e DE-627 ger DE-627 rakwb eng Kelaher, Margaret verfasserin aut The applicability of measures of socioeconomic position to different ethnic groups within the UK 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Kelaher et al; licensee BioMed Central Ltd. 2009 Background In this paper we seek to tease out differences in socioeconomic position between ethnic groups. There are 3 main reasons why conventional socioeconomic indicators and asset based measures may not be equally applicable to all ethnic groups: 1) Differences in response rate to conventional socioeconomic indicators 2) Cultural and social differences in economic priorities/opportunities 3) Differences in housing quality, assets and debt within socioeconomic strata Methods The sample consisted of White (n = 227), African-Caribbean (n = 213) and Indian and Pakistani (n = 233) adults aged between 18 and 59 years living in Leeds as measured in a stratified population survey. Measures included income, education, employment, car ownership, home ownership, housing quality, household assets, investments, debt, perceived ability to obtain various sums and perceived level of financial support given and received. Results Response rates to education and income questions were similar for the different ethnic groups. Overall response rates for income were much lower than those for education and biased towards wealthier people. There were differences between ethnic groups in economic priorities/opportunities particularly in relation to car ownership, home ownership, investment and debt. Differences in living conditions, household assets and debt between ethnic groups were dependent on differences in education; however differences in car ownership, home ownership, ability to obtain £10 000, and loaning money to family/friends and income from employment/self employment persisted after adjustment for education. Conclusion In the UK, education appears to be an effective variable for measuring variation in SEP across ethnic groups but the ability to account for SEP differences may be improved by the addition of car and home ownership, ability to obtain £10 000, loaning money to family/friends and income from employment/self employment. Further research is required to establish the degree to which results of this study are generalisable. Ethnic Group (dpeaa)DE-He213 Home Ownership (dpeaa)DE-He213 Socioeconomic Position (dpeaa)DE-He213 Household Asset (dpeaa)DE-He213 Minority Ethnic Group (dpeaa)DE-He213 Paul, Sheila aut Lambert, Helen aut Ahmad, Waqar aut Smith, George Davey aut Enthalten in International journal for equity in health London : BioMed Central, 2002 8(2009), 1 vom: 27. Feb. (DE-627)356253716 (DE-600)2092056-8 1475-9276 nnns volume:8 year:2009 number:1 day:27 month:02 https://dx.doi.org/10.1186/1475-9276-8-4 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_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_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_375 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 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_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 8 2009 1 27 02
allfields_unstemmed	10.1186/1475-9276-8-4 doi (DE-627)SPR028703081 (SPR)1475-9276-8-4-e DE-627 ger DE-627 rakwb eng Kelaher, Margaret verfasserin aut The applicability of measures of socioeconomic position to different ethnic groups within the UK 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Kelaher et al; licensee BioMed Central Ltd. 2009 Background In this paper we seek to tease out differences in socioeconomic position between ethnic groups. There are 3 main reasons why conventional socioeconomic indicators and asset based measures may not be equally applicable to all ethnic groups: 1) Differences in response rate to conventional socioeconomic indicators 2) Cultural and social differences in economic priorities/opportunities 3) Differences in housing quality, assets and debt within socioeconomic strata Methods The sample consisted of White (n = 227), African-Caribbean (n = 213) and Indian and Pakistani (n = 233) adults aged between 18 and 59 years living in Leeds as measured in a stratified population survey. Measures included income, education, employment, car ownership, home ownership, housing quality, household assets, investments, debt, perceived ability to obtain various sums and perceived level of financial support given and received. Results Response rates to education and income questions were similar for the different ethnic groups. Overall response rates for income were much lower than those for education and biased towards wealthier people. There were differences between ethnic groups in economic priorities/opportunities particularly in relation to car ownership, home ownership, investment and debt. Differences in living conditions, household assets and debt between ethnic groups were dependent on differences in education; however differences in car ownership, home ownership, ability to obtain £10 000, and loaning money to family/friends and income from employment/self employment persisted after adjustment for education. Conclusion In the UK, education appears to be an effective variable for measuring variation in SEP across ethnic groups but the ability to account for SEP differences may be improved by the addition of car and home ownership, ability to obtain £10 000, loaning money to family/friends and income from employment/self employment. Further research is required to establish the degree to which results of this study are generalisable. Ethnic Group (dpeaa)DE-He213 Home Ownership (dpeaa)DE-He213 Socioeconomic Position (dpeaa)DE-He213 Household Asset (dpeaa)DE-He213 Minority Ethnic Group (dpeaa)DE-He213 Paul, Sheila aut Lambert, Helen aut Ahmad, Waqar aut Smith, George Davey aut Enthalten in International journal for equity in health London : BioMed Central, 2002 8(2009), 1 vom: 27. Feb. (DE-627)356253716 (DE-600)2092056-8 1475-9276 nnns volume:8 year:2009 number:1 day:27 month:02 https://dx.doi.org/10.1186/1475-9276-8-4 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_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_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_375 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 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_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 8 2009 1 27 02
allfieldsGer	10.1186/1475-9276-8-4 doi (DE-627)SPR028703081 (SPR)1475-9276-8-4-e DE-627 ger DE-627 rakwb eng Kelaher, Margaret verfasserin aut The applicability of measures of socioeconomic position to different ethnic groups within the UK 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Kelaher et al; licensee BioMed Central Ltd. 2009 Background In this paper we seek to tease out differences in socioeconomic position between ethnic groups. There are 3 main reasons why conventional socioeconomic indicators and asset based measures may not be equally applicable to all ethnic groups: 1) Differences in response rate to conventional socioeconomic indicators 2) Cultural and social differences in economic priorities/opportunities 3) Differences in housing quality, assets and debt within socioeconomic strata Methods The sample consisted of White (n = 227), African-Caribbean (n = 213) and Indian and Pakistani (n = 233) adults aged between 18 and 59 years living in Leeds as measured in a stratified population survey. Measures included income, education, employment, car ownership, home ownership, housing quality, household assets, investments, debt, perceived ability to obtain various sums and perceived level of financial support given and received. Results Response rates to education and income questions were similar for the different ethnic groups. Overall response rates for income were much lower than those for education and biased towards wealthier people. There were differences between ethnic groups in economic priorities/opportunities particularly in relation to car ownership, home ownership, investment and debt. Differences in living conditions, household assets and debt between ethnic groups were dependent on differences in education; however differences in car ownership, home ownership, ability to obtain £10 000, and loaning money to family/friends and income from employment/self employment persisted after adjustment for education. Conclusion In the UK, education appears to be an effective variable for measuring variation in SEP across ethnic groups but the ability to account for SEP differences may be improved by the addition of car and home ownership, ability to obtain £10 000, loaning money to family/friends and income from employment/self employment. Further research is required to establish the degree to which results of this study are generalisable. Ethnic Group (dpeaa)DE-He213 Home Ownership (dpeaa)DE-He213 Socioeconomic Position (dpeaa)DE-He213 Household Asset (dpeaa)DE-He213 Minority Ethnic Group (dpeaa)DE-He213 Paul, Sheila aut Lambert, Helen aut Ahmad, Waqar aut Smith, George Davey aut Enthalten in International journal for equity in health London : BioMed Central, 2002 8(2009), 1 vom: 27. Feb. (DE-627)356253716 (DE-600)2092056-8 1475-9276 nnns volume:8 year:2009 number:1 day:27 month:02 https://dx.doi.org/10.1186/1475-9276-8-4 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_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_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_375 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 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_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 8 2009 1 27 02
allfieldsSound	10.1186/1475-9276-8-4 doi (DE-627)SPR028703081 (SPR)1475-9276-8-4-e DE-627 ger DE-627 rakwb eng Kelaher, Margaret verfasserin aut The applicability of measures of socioeconomic position to different ethnic groups within the UK 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Kelaher et al; licensee BioMed Central Ltd. 2009 Background In this paper we seek to tease out differences in socioeconomic position between ethnic groups. There are 3 main reasons why conventional socioeconomic indicators and asset based measures may not be equally applicable to all ethnic groups: 1) Differences in response rate to conventional socioeconomic indicators 2) Cultural and social differences in economic priorities/opportunities 3) Differences in housing quality, assets and debt within socioeconomic strata Methods The sample consisted of White (n = 227), African-Caribbean (n = 213) and Indian and Pakistani (n = 233) adults aged between 18 and 59 years living in Leeds as measured in a stratified population survey. Measures included income, education, employment, car ownership, home ownership, housing quality, household assets, investments, debt, perceived ability to obtain various sums and perceived level of financial support given and received. Results Response rates to education and income questions were similar for the different ethnic groups. Overall response rates for income were much lower than those for education and biased towards wealthier people. There were differences between ethnic groups in economic priorities/opportunities particularly in relation to car ownership, home ownership, investment and debt. Differences in living conditions, household assets and debt between ethnic groups were dependent on differences in education; however differences in car ownership, home ownership, ability to obtain £10 000, and loaning money to family/friends and income from employment/self employment persisted after adjustment for education. Conclusion In the UK, education appears to be an effective variable for measuring variation in SEP across ethnic groups but the ability to account for SEP differences may be improved by the addition of car and home ownership, ability to obtain £10 000, loaning money to family/friends and income from employment/self employment. Further research is required to establish the degree to which results of this study are generalisable. Ethnic Group (dpeaa)DE-He213 Home Ownership (dpeaa)DE-He213 Socioeconomic Position (dpeaa)DE-He213 Household Asset (dpeaa)DE-He213 Minority Ethnic Group (dpeaa)DE-He213 Paul, Sheila aut Lambert, Helen aut Ahmad, Waqar aut Smith, George Davey aut Enthalten in International journal for equity in health London : BioMed Central, 2002 8(2009), 1 vom: 27. Feb. (DE-627)356253716 (DE-600)2092056-8 1475-9276 nnns volume:8 year:2009 number:1 day:27 month:02 https://dx.doi.org/10.1186/1475-9276-8-4 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_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_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_375 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 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_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 8 2009 1 27 02
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There are 3 main reasons why conventional socioeconomic indicators and asset based measures may not be equally applicable to all ethnic groups: 1) Differences in response rate to conventional socioeconomic indicators 2) Cultural and social differences in economic priorities/opportunities 3) Differences in housing quality, assets and debt within socioeconomic strata Methods The sample consisted of White (n = 227), African-Caribbean (n = 213) and Indian and Pakistani (n = 233) adults aged between 18 and 59 years living in Leeds as measured in a stratified population survey. Measures included income, education, employment, car ownership, home ownership, housing quality, household assets, investments, debt, perceived ability to obtain various sums and perceived level of financial support given and received. Results Response rates to education and income questions were similar for the different ethnic groups. Overall response rates for income were much lower than those for education and biased towards wealthier people. There were differences between ethnic groups in economic priorities/opportunities particularly in relation to car ownership, home ownership, investment and debt. Differences in living conditions, household assets and debt between ethnic groups were dependent on differences in education; however differences in car ownership, home ownership, ability to obtain £10 000, and loaning money to family/friends and income from employment/self employment persisted after adjustment for education. Conclusion In the UK, education appears to be an effective variable for measuring variation in SEP across ethnic groups but the ability to account for SEP differences may be improved by the addition of car and home ownership, ability to obtain £10 000, loaning money to family/friends and income from employment/self employment. Further research is required to establish the degree to which results of this study are generalisable.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Ethnic Group</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Home Ownership</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Socioeconomic Position</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Household Asset</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Minority Ethnic Group</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Paul, Sheila</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Lambert, Helen</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ahmad, Waqar</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Smith, George Davey</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">International journal for equity in health</subfield><subfield code="d">London : BioMed Central, 2002</subfield><subfield code="g">8(2009), 1 vom: 27. 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author	Kelaher, Margaret
spellingShingle	Kelaher, Margaret misc Ethnic Group misc Home Ownership misc Socioeconomic Position misc Household Asset misc Minority Ethnic Group The applicability of measures of socioeconomic position to different ethnic groups within the UK
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topic_title	The applicability of measures of socioeconomic position to different ethnic groups within the UK Ethnic Group (dpeaa)DE-He213 Home Ownership (dpeaa)DE-He213 Socioeconomic Position (dpeaa)DE-He213 Household Asset (dpeaa)DE-He213 Minority Ethnic Group (dpeaa)DE-He213
topic	misc Ethnic Group misc Home Ownership misc Socioeconomic Position misc Household Asset misc Minority Ethnic Group
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title	The applicability of measures of socioeconomic position to different ethnic groups within the UK
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title_full	The applicability of measures of socioeconomic position to different ethnic groups within the UK
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title_sort	applicability of measures of socioeconomic position to different ethnic groups within the uk
title_auth	The applicability of measures of socioeconomic position to different ethnic groups within the UK
abstract	Background In this paper we seek to tease out differences in socioeconomic position between ethnic groups. There are 3 main reasons why conventional socioeconomic indicators and asset based measures may not be equally applicable to all ethnic groups: 1) Differences in response rate to conventional socioeconomic indicators 2) Cultural and social differences in economic priorities/opportunities 3) Differences in housing quality, assets and debt within socioeconomic strata Methods The sample consisted of White (n = 227), African-Caribbean (n = 213) and Indian and Pakistani (n = 233) adults aged between 18 and 59 years living in Leeds as measured in a stratified population survey. Measures included income, education, employment, car ownership, home ownership, housing quality, household assets, investments, debt, perceived ability to obtain various sums and perceived level of financial support given and received. Results Response rates to education and income questions were similar for the different ethnic groups. Overall response rates for income were much lower than those for education and biased towards wealthier people. There were differences between ethnic groups in economic priorities/opportunities particularly in relation to car ownership, home ownership, investment and debt. Differences in living conditions, household assets and debt between ethnic groups were dependent on differences in education; however differences in car ownership, home ownership, ability to obtain £10 000, and loaning money to family/friends and income from employment/self employment persisted after adjustment for education. Conclusion In the UK, education appears to be an effective variable for measuring variation in SEP across ethnic groups but the ability to account for SEP differences may be improved by the addition of car and home ownership, ability to obtain £10 000, loaning money to family/friends and income from employment/self employment. Further research is required to establish the degree to which results of this study are generalisable. © Kelaher et al; licensee BioMed Central Ltd. 2009
abstractGer	Background In this paper we seek to tease out differences in socioeconomic position between ethnic groups. There are 3 main reasons why conventional socioeconomic indicators and asset based measures may not be equally applicable to all ethnic groups: 1) Differences in response rate to conventional socioeconomic indicators 2) Cultural and social differences in economic priorities/opportunities 3) Differences in housing quality, assets and debt within socioeconomic strata Methods The sample consisted of White (n = 227), African-Caribbean (n = 213) and Indian and Pakistani (n = 233) adults aged between 18 and 59 years living in Leeds as measured in a stratified population survey. Measures included income, education, employment, car ownership, home ownership, housing quality, household assets, investments, debt, perceived ability to obtain various sums and perceived level of financial support given and received. Results Response rates to education and income questions were similar for the different ethnic groups. Overall response rates for income were much lower than those for education and biased towards wealthier people. There were differences between ethnic groups in economic priorities/opportunities particularly in relation to car ownership, home ownership, investment and debt. Differences in living conditions, household assets and debt between ethnic groups were dependent on differences in education; however differences in car ownership, home ownership, ability to obtain £10 000, and loaning money to family/friends and income from employment/self employment persisted after adjustment for education. Conclusion In the UK, education appears to be an effective variable for measuring variation in SEP across ethnic groups but the ability to account for SEP differences may be improved by the addition of car and home ownership, ability to obtain £10 000, loaning money to family/friends and income from employment/self employment. Further research is required to establish the degree to which results of this study are generalisable. © Kelaher et al; licensee BioMed Central Ltd. 2009
abstract_unstemmed	Background In this paper we seek to tease out differences in socioeconomic position between ethnic groups. There are 3 main reasons why conventional socioeconomic indicators and asset based measures may not be equally applicable to all ethnic groups: 1) Differences in response rate to conventional socioeconomic indicators 2) Cultural and social differences in economic priorities/opportunities 3) Differences in housing quality, assets and debt within socioeconomic strata Methods The sample consisted of White (n = 227), African-Caribbean (n = 213) and Indian and Pakistani (n = 233) adults aged between 18 and 59 years living in Leeds as measured in a stratified population survey. Measures included income, education, employment, car ownership, home ownership, housing quality, household assets, investments, debt, perceived ability to obtain various sums and perceived level of financial support given and received. Results Response rates to education and income questions were similar for the different ethnic groups. Overall response rates for income were much lower than those for education and biased towards wealthier people. There were differences between ethnic groups in economic priorities/opportunities particularly in relation to car ownership, home ownership, investment and debt. Differences in living conditions, household assets and debt between ethnic groups were dependent on differences in education; however differences in car ownership, home ownership, ability to obtain £10 000, and loaning money to family/friends and income from employment/self employment persisted after adjustment for education. Conclusion In the UK, education appears to be an effective variable for measuring variation in SEP across ethnic groups but the ability to account for SEP differences may be improved by the addition of car and home ownership, ability to obtain £10 000, loaning money to family/friends and income from employment/self employment. Further research is required to establish the degree to which results of this study are generalisable. © Kelaher et al; licensee BioMed Central Ltd. 2009
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title_short	The applicability of measures of socioeconomic position to different ethnic groups within the UK
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There are 3 main reasons why conventional socioeconomic indicators and asset based measures may not be equally applicable to all ethnic groups: 1) Differences in response rate to conventional socioeconomic indicators 2) Cultural and social differences in economic priorities/opportunities 3) Differences in housing quality, assets and debt within socioeconomic strata Methods The sample consisted of White (n = 227), African-Caribbean (n = 213) and Indian and Pakistani (n = 233) adults aged between 18 and 59 years living in Leeds as measured in a stratified population survey. Measures included income, education, employment, car ownership, home ownership, housing quality, household assets, investments, debt, perceived ability to obtain various sums and perceived level of financial support given and received. Results Response rates to education and income questions were similar for the different ethnic groups. Overall response rates for income were much lower than those for education and biased towards wealthier people. There were differences between ethnic groups in economic priorities/opportunities particularly in relation to car ownership, home ownership, investment and debt. Differences in living conditions, household assets and debt between ethnic groups were dependent on differences in education; however differences in car ownership, home ownership, ability to obtain £10 000, and loaning money to family/friends and income from employment/self employment persisted after adjustment for education. Conclusion In the UK, education appears to be an effective variable for measuring variation in SEP across ethnic groups but the ability to account for SEP differences may be improved by the addition of car and home ownership, ability to obtain £10 000, loaning money to family/friends and income from employment/self employment. 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The applicability of measures of socioeconomic position to different ethnic groups within the UK

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