Loading…
The Measurement of Socio-Economic Status: Investigation of Gender-and Age-Specific Indicators in Australia: National Health Survey
Objective: To investigate the correlations between age- and gender- specific measures of socio-economic status versus health status as measured by the SF-36. Design: Population based study. Participants: 38187 people aged between 18 to 79 years who participated in the National Health Survey in 1995....
Saved in:
Published in: | Social indicators research 2001-10, Vol.56 (1), p.73-89 |
---|---|
Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | |
---|---|
cites | |
container_end_page | 89 |
container_issue | 1 |
container_start_page | 73 |
container_title | Social indicators research |
container_volume | 56 |
creator | Mishra, Gita D. Ball, Kylie Dobson, Annette J. Byles, Julie E. Warner-Smith, Penny |
description | Objective: To investigate the correlations between age- and gender- specific measures of socio-economic status versus health status as measured by the SF-36. Design: Population based study. Participants: 38187 people aged between 18 to 79 years who participated in the National Health Survey in 1995. Results: Factor analysis produced consistent results that were interpreted in terms of five conceptually meaningful domains (employment, housing, migration, family unit and education). The relative rank of the factors differs between groups and in some cases factor composition requires items to be added or deleted from the conceptual domains. Conclusions: Age- and gender-specific SES scores based on these factors had stronger associations with the physical and mental components of SF-36 than either an area based index or scores derived from males aged 40-44 years. Overall the results supported the hypothesis that SES measures composed of social and demographic items exhibit important age- and gender-specific differences which are relevant for health. |
doi_str_mv | 10.1023/A:1011834621663 |
format | article |
fullrecord | <record><control><sourceid>jstor_proqu</sourceid><recordid>TN_cdi_proquest_miscellaneous_60080437</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><jstor_id>27526965</jstor_id><sourcerecordid>27526965</sourcerecordid><originalsourceid>FETCH-LOGICAL-j146t-fa834e04eed488bf90c3d87f2941e2a6fb05ef5d890873fb7c2af606e32474e53</originalsourceid><addsrcrecordid>eNotj89PwjAYhhujiYiePZn05G369ce6jRshCiSoh-GZlO0rlIwW146Eq3-5Uzy9l-d5k4eQewZPDLh4Ho8YMJYLqThTSlyQAUszkUDB2SUZgACR5ALgmtyEsAOAVKZyQL6XW6RvqEPX4h5dpN7Q0lfWJy-Vd35vK1pGHbswonN3xBDtRkfr3S83RVdjm2hX0_EGk_KAlTW9MHe1rXT0baDW0XEXYqsbq0f0_U_VDZ2hbuKWll17xNMtuTK6CXj3v0Py-fqynMySxcd0Phkvkh2TKiZG920IErGWeb42BVSizjPDC8mQa2XWkKJJ67yAPBNmnVVcGwUKBZeZxFQMyeP599D6r65PWe1tqLBptEPfhZUCyEGKrAcfzuAu9BGrQ2v3uj2teJZyVahU_ABdxm35</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>60080437</pqid></control><display><type>article</type><title>The Measurement of Socio-Economic Status: Investigation of Gender-and Age-Specific Indicators in Australia: National Health Survey</title><source>ABI/INFORM global</source><source>JSTOR Archival Journals and Primary Sources Collection</source><source>Social Science Premium Collection (Proquest) (PQ_SDU_P3)</source><source>Sociology Collection</source><source>Springer Link</source><source>Sociological Abstracts</source><source>Education Collection</source><creator>Mishra, Gita D. ; Ball, Kylie ; Dobson, Annette J. ; Byles, Julie E. ; Warner-Smith, Penny</creator><creatorcontrib>Mishra, Gita D. ; Ball, Kylie ; Dobson, Annette J. ; Byles, Julie E. ; Warner-Smith, Penny</creatorcontrib><description>Objective: To investigate the correlations between age- and gender- specific measures of socio-economic status versus health status as measured by the SF-36. Design: Population based study. Participants: 38187 people aged between 18 to 79 years who participated in the National Health Survey in 1995. Results: Factor analysis produced consistent results that were interpreted in terms of five conceptually meaningful domains (employment, housing, migration, family unit and education). The relative rank of the factors differs between groups and in some cases factor composition requires items to be added or deleted from the conceptual domains. Conclusions: Age- and gender-specific SES scores based on these factors had stronger associations with the physical and mental components of SF-36 than either an area based index or scores derived from males aged 40-44 years. Overall the results supported the hypothesis that SES measures composed of social and demographic items exhibit important age- and gender-specific differences which are relevant for health.</description><identifier>ISSN: 0303-8300</identifier><identifier>EISSN: 1573-0921</identifier><identifier>DOI: 10.1023/A:1011834621663</identifier><identifier>CODEN: SINRDZ</identifier><language>eng</language><publisher>Kluwer Academic Publishers</publisher><subject>Age ; Age Differences ; Age groups ; Australia ; Employment ; Families ; Health ; Health surveys ; Housing ; Men ; Sex Differences ; Social Indicators ; Socioeconomic Status ; Socioeconomics ; Womens health</subject><ispartof>Social indicators research, 2001-10, Vol.56 (1), p.73-89</ispartof><rights>Copyright 2001 Kluwer Academic Publishers</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/27526965$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/27526965$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,33612,33775,33878,34531,36061,58238,58471</link.rule.ids></links><search><creatorcontrib>Mishra, Gita D.</creatorcontrib><creatorcontrib>Ball, Kylie</creatorcontrib><creatorcontrib>Dobson, Annette J.</creatorcontrib><creatorcontrib>Byles, Julie E.</creatorcontrib><creatorcontrib>Warner-Smith, Penny</creatorcontrib><title>The Measurement of Socio-Economic Status: Investigation of Gender-and Age-Specific Indicators in Australia: National Health Survey</title><title>Social indicators research</title><description>Objective: To investigate the correlations between age- and gender- specific measures of socio-economic status versus health status as measured by the SF-36. Design: Population based study. Participants: 38187 people aged between 18 to 79 years who participated in the National Health Survey in 1995. Results: Factor analysis produced consistent results that were interpreted in terms of five conceptually meaningful domains (employment, housing, migration, family unit and education). The relative rank of the factors differs between groups and in some cases factor composition requires items to be added or deleted from the conceptual domains. Conclusions: Age- and gender-specific SES scores based on these factors had stronger associations with the physical and mental components of SF-36 than either an area based index or scores derived from males aged 40-44 years. Overall the results supported the hypothesis that SES measures composed of social and demographic items exhibit important age- and gender-specific differences which are relevant for health.</description><subject>Age</subject><subject>Age Differences</subject><subject>Age groups</subject><subject>Australia</subject><subject>Employment</subject><subject>Families</subject><subject>Health</subject><subject>Health surveys</subject><subject>Housing</subject><subject>Men</subject><subject>Sex Differences</subject><subject>Social Indicators</subject><subject>Socioeconomic Status</subject><subject>Socioeconomics</subject><subject>Womens health</subject><issn>0303-8300</issn><issn>1573-0921</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2001</creationdate><recordtype>article</recordtype><sourceid>BHHNA</sourceid><recordid>eNotj89PwjAYhhujiYiePZn05G369ce6jRshCiSoh-GZlO0rlIwW146Eq3-5Uzy9l-d5k4eQewZPDLh4Ho8YMJYLqThTSlyQAUszkUDB2SUZgACR5ALgmtyEsAOAVKZyQL6XW6RvqEPX4h5dpN7Q0lfWJy-Vd35vK1pGHbswonN3xBDtRkfr3S83RVdjm2hX0_EGk_KAlTW9MHe1rXT0baDW0XEXYqsbq0f0_U_VDZ2hbuKWll17xNMtuTK6CXj3v0Py-fqynMySxcd0Phkvkh2TKiZG920IErGWeb42BVSizjPDC8mQa2XWkKJJ67yAPBNmnVVcGwUKBZeZxFQMyeP599D6r65PWe1tqLBptEPfhZUCyEGKrAcfzuAu9BGrQ2v3uj2teJZyVahU_ABdxm35</recordid><startdate>20011001</startdate><enddate>20011001</enddate><creator>Mishra, Gita D.</creator><creator>Ball, Kylie</creator><creator>Dobson, Annette J.</creator><creator>Byles, Julie E.</creator><creator>Warner-Smith, Penny</creator><general>Kluwer Academic Publishers</general><scope>7U4</scope><scope>BHHNA</scope><scope>DWI</scope><scope>WZK</scope></search><sort><creationdate>20011001</creationdate><title>The Measurement of Socio-Economic Status: Investigation of Gender-and Age-Specific Indicators in Australia: National Health Survey</title><author>Mishra, Gita D. ; Ball, Kylie ; Dobson, Annette J. ; Byles, Julie E. ; Warner-Smith, Penny</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-j146t-fa834e04eed488bf90c3d87f2941e2a6fb05ef5d890873fb7c2af606e32474e53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2001</creationdate><topic>Age</topic><topic>Age Differences</topic><topic>Age groups</topic><topic>Australia</topic><topic>Employment</topic><topic>Families</topic><topic>Health</topic><topic>Health surveys</topic><topic>Housing</topic><topic>Men</topic><topic>Sex Differences</topic><topic>Social Indicators</topic><topic>Socioeconomic Status</topic><topic>Socioeconomics</topic><topic>Womens health</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mishra, Gita D.</creatorcontrib><creatorcontrib>Ball, Kylie</creatorcontrib><creatorcontrib>Dobson, Annette J.</creatorcontrib><creatorcontrib>Byles, Julie E.</creatorcontrib><creatorcontrib>Warner-Smith, Penny</creatorcontrib><collection>Sociological Abstracts (pre-2017)</collection><collection>Sociological Abstracts</collection><collection>Sociological Abstracts</collection><collection>Sociological Abstracts (Ovid)</collection><jtitle>Social indicators research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mishra, Gita D.</au><au>Ball, Kylie</au><au>Dobson, Annette J.</au><au>Byles, Julie E.</au><au>Warner-Smith, Penny</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Measurement of Socio-Economic Status: Investigation of Gender-and Age-Specific Indicators in Australia: National Health Survey</atitle><jtitle>Social indicators research</jtitle><date>2001-10-01</date><risdate>2001</risdate><volume>56</volume><issue>1</issue><spage>73</spage><epage>89</epage><pages>73-89</pages><issn>0303-8300</issn><eissn>1573-0921</eissn><coden>SINRDZ</coden><abstract>Objective: To investigate the correlations between age- and gender- specific measures of socio-economic status versus health status as measured by the SF-36. Design: Population based study. Participants: 38187 people aged between 18 to 79 years who participated in the National Health Survey in 1995. Results: Factor analysis produced consistent results that were interpreted in terms of five conceptually meaningful domains (employment, housing, migration, family unit and education). The relative rank of the factors differs between groups and in some cases factor composition requires items to be added or deleted from the conceptual domains. Conclusions: Age- and gender-specific SES scores based on these factors had stronger associations with the physical and mental components of SF-36 than either an area based index or scores derived from males aged 40-44 years. Overall the results supported the hypothesis that SES measures composed of social and demographic items exhibit important age- and gender-specific differences which are relevant for health.</abstract><pub>Kluwer Academic Publishers</pub><doi>10.1023/A:1011834621663</doi><tpages>17</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0303-8300 |
ispartof | Social indicators research, 2001-10, Vol.56 (1), p.73-89 |
issn | 0303-8300 1573-0921 |
language | eng |
recordid | cdi_proquest_miscellaneous_60080437 |
source | ABI/INFORM global; JSTOR Archival Journals and Primary Sources Collection; Social Science Premium Collection (Proquest) (PQ_SDU_P3); Sociology Collection; Springer Link; Sociological Abstracts; Education Collection |
subjects | Age Age Differences Age groups Australia Employment Families Health Health surveys Housing Men Sex Differences Social Indicators Socioeconomic Status Socioeconomics Womens health |
title | The Measurement of Socio-Economic Status: Investigation of Gender-and Age-Specific Indicators in Australia: National Health Survey |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-05T10%3A34%3A01IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-jstor_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20Measurement%20of%20Socio-Economic%20Status:%20Investigation%20of%20Gender-and%20Age-Specific%20Indicators%20in%20Australia:%20National%20Health%20Survey&rft.jtitle=Social%20indicators%20research&rft.au=Mishra,%20Gita%20D.&rft.date=2001-10-01&rft.volume=56&rft.issue=1&rft.spage=73&rft.epage=89&rft.pages=73-89&rft.issn=0303-8300&rft.eissn=1573-0921&rft.coden=SINRDZ&rft_id=info:doi/10.1023/A:1011834621663&rft_dat=%3Cjstor_proqu%3E27526965%3C/jstor_proqu%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-j146t-fa834e04eed488bf90c3d87f2941e2a6fb05ef5d890873fb7c2af606e32474e53%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=60080437&rft_id=info:pmid/&rft_jstor_id=27526965&rfr_iscdi=true |