Education, job position, income or multidimensional indices? Associations between different socioeconomic status indicators and chronic low back pain in a German sample: a longitudinal field study
ObjectiveTo investigate associations between socioeconomic status (SES) indicators (education, job position, income, multidimensional index) and the genesis of chronic low back pain (CLBP).DesignLongitudinal field study (baseline and 6-month follow-up).SettingFour medical clinics across Germany.Part...
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| description | ObjectiveTo investigate associations between socioeconomic status (SES) indicators (education, job position, income, multidimensional index) and the genesis of chronic low back pain (CLBP).DesignLongitudinal field study (baseline and 6-month follow-up).SettingFour medical clinics across Germany.Participants352 people were included according to the following criteria: (1) between 18 and 65 years of age, (2) intermittent pain and (3) an understanding of the study and the ability to answer a questionnaire without help. Exclusion criteria were: (1) pregnancy, (2) inability to stand upright, (3) inability to give sick leave information, (4) signs of serious spinal pathology, (5) acute pain in the past 7 days or (6) an incomplete SES indicators questionnaire.Outcome measuresSubjective intensity and disability of CLBP.ResultsAnalysis showed that job position was the best single predictor of CLBP intensity, followed by a multidimensional index. Education and income had no significant association with intensity. Subjective disability was best predicted by job position, succeeded by the multidimensional index and education, while income again had no significant association.ConclusionThe results showed that SES indicators have different strong associations with the genesis of CLBP and should therefore not be used interchangeably. Job position was found to be the single most important indicator. These results could be helpful in the planning of back pain care programmes, but in general, more research on the relationship between SES and health outcomes is needed. |
| doi_str_mv | 10.1136/bmjopen-2017-020207 |
| format | Article |
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Associations between different socioeconomic status indicators and chronic low back pain in a German sample: a longitudinal field study</title><source>BMJ Open Access Journals</source><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>PubMed Central Open Access</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><creator>Fliesser, Michael ; De Witt Huberts, Jessie ; Wippert, Pia-Maria</creator><creatorcontrib>Fliesser, Michael ; De Witt Huberts, Jessie ; Wippert, Pia-Maria</creatorcontrib><description>ObjectiveTo investigate associations between socioeconomic status (SES) indicators (education, job position, income, multidimensional index) and the genesis of chronic low back pain (CLBP).DesignLongitudinal field study (baseline and 6-month follow-up).SettingFour medical clinics across Germany.Participants352 people were included according to the following criteria: (1) between 18 and 65 years of age, (2) intermittent pain and (3) an understanding of the study and the ability to answer a questionnaire without help. Exclusion criteria were: (1) pregnancy, (2) inability to stand upright, (3) inability to give sick leave information, (4) signs of serious spinal pathology, (5) acute pain in the past 7 days or (6) an incomplete SES indicators questionnaire.Outcome measuresSubjective intensity and disability of CLBP.ResultsAnalysis showed that job position was the best single predictor of CLBP intensity, followed by a multidimensional index. Education and income had no significant association with intensity. Subjective disability was best predicted by job position, succeeded by the multidimensional index and education, while income again had no significant association.ConclusionThe results showed that SES indicators have different strong associations with the genesis of CLBP and should therefore not be used interchangeably. Job position was found to be the single most important indicator. These results could be helpful in the planning of back pain care programmes, but in general, more research on the relationship between SES and health outcomes is needed.</description><identifier>ISSN: 2044-6055</identifier><identifier>EISSN: 2044-6055</identifier><identifier>DOI: 10.1136/bmjopen-2017-020207</identifier><identifier>PMID: 29705759</identifier><language>eng</language><publisher>England: BMJ Publishing Group LTD</publisher><subject>Adolescent ; Adult ; Aged ; Arbeitsplatz ; Assoziation ; Back pain ; Beeinflussung ; Bildung ; Chronische Krankheit ; Education ; Educational Status ; Einkommen ; Epidemiology ; Field study ; Germany ; Gesundheit ; Health behavior ; Humans ; Income ; Influence ; Longitudinal Studies ; Low Back Pain ; Längsschnittuntersuchung ; Middle Aged ; Prävention ; Public health ; Rückenschmerz ; Sample size ; Social Class ; Socioeconomic factors ; Socioeconomic status ; Sociology ; Soziologie ; Young Adult</subject><ispartof>BMJ open, 2018-04, Vol.8 (4), p.7-8:4, Art. e020207<7</ispartof><rights>Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.</rights><rights>2018 Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted. 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b492t-1f1bd9d5010a7c3e9e19995c4ce12b34a6cb17a022f2a6977ae0f4ab73e4efed3</citedby><cites>FETCH-LOGICAL-b492t-1f1bd9d5010a7c3e9e19995c4ce12b34a6cb17a022f2a6977ae0f4ab73e4efed3</cites><orcidid>0000-0002-7674-1660</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://bmjopen.bmj.com/content/8/4/e020207.full.pdf$$EPDF$$P50$$Gbmj$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://bmjopen.bmj.com/content/8/4/e020207.full$$EHTML$$P50$$Gbmj$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,27548,27549,27923,27924,53790,53792,77472,77503</link.rule.ids><backlink>$$Uhttp://www.fachportal-paedagogik.de/fis_bildung/suche/fis_set.html?FId=1149414$$DAccess content in the German Education Portal$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29705759$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Fliesser, Michael</creatorcontrib><creatorcontrib>De Witt Huberts, Jessie</creatorcontrib><creatorcontrib>Wippert, Pia-Maria</creatorcontrib><title>Education, job position, income or multidimensional indices? Associations between different socioeconomic status indicators and chronic low back pain in a German sample: a longitudinal field study</title><title>BMJ open</title><addtitle>BMJ Open</addtitle><description>ObjectiveTo investigate associations between socioeconomic status (SES) indicators (education, job position, income, multidimensional index) and the genesis of chronic low back pain (CLBP).DesignLongitudinal field study (baseline and 6-month follow-up).SettingFour medical clinics across Germany.Participants352 people were included according to the following criteria: (1) between 18 and 65 years of age, (2) intermittent pain and (3) an understanding of the study and the ability to answer a questionnaire without help. Exclusion criteria were: (1) pregnancy, (2) inability to stand upright, (3) inability to give sick leave information, (4) signs of serious spinal pathology, (5) acute pain in the past 7 days or (6) an incomplete SES indicators questionnaire.Outcome measuresSubjective intensity and disability of CLBP.ResultsAnalysis showed that job position was the best single predictor of CLBP intensity, followed by a multidimensional index. Education and income had no significant association with intensity. Subjective disability was best predicted by job position, succeeded by the multidimensional index and education, while income again had no significant association.ConclusionThe results showed that SES indicators have different strong associations with the genesis of CLBP and should therefore not be used interchangeably. Job position was found to be the single most important indicator. These results could be helpful in the planning of back pain care programmes, but in general, more research on the relationship between SES and health outcomes is needed.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Arbeitsplatz</subject><subject>Assoziation</subject><subject>Back pain</subject><subject>Beeinflussung</subject><subject>Bildung</subject><subject>Chronische Krankheit</subject><subject>Education</subject><subject>Educational Status</subject><subject>Einkommen</subject><subject>Epidemiology</subject><subject>Field study</subject><subject>Germany</subject><subject>Gesundheit</subject><subject>Health behavior</subject><subject>Humans</subject><subject>Income</subject><subject>Influence</subject><subject>Longitudinal Studies</subject><subject>Low Back Pain</subject><subject>Längsschnittuntersuchung</subject><subject>Middle Aged</subject><subject>Prävention</subject><subject>Public health</subject><subject>Rückenschmerz</subject><subject>Sample size</subject><subject>Social Class</subject><subject>Socioeconomic factors</subject><subject>Socioeconomic status</subject><subject>Sociology</subject><subject>Soziologie</subject><subject>Young Adult</subject><issn>2044-6055</issn><issn>2044-6055</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>9YT</sourceid><sourceid>ACMMV</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqNUs1qFTEYHUSxpfYJChJw48KpSSa5IS6UUtoqFNzoOnyTfNPmOpOMyUxL388Ha8a5lqsrk0V-zk9y4FTVCaOnjDWb9-2wjSOGmlOmasrLVM-qQ06FqDdUyud7-4PqOOctLUNILSV_WR1wrahUUh9Wvy7cbGHyMbwj29iSMWa_nnywcUASExnmfvLODxhyQaAvkPMW8ydylnO0_rc8kxane8RAnO86TBgmsoARbQxx8JbkCaY5r2KYYsoEgiP2NsVQ0D7ekxbsDzKCD4VEgFxhGiCQDMPY44dy0cdw46fZ-eUTncfeFdPZPbyqXnTQZzzerUfV98uLb-ef6-uvV1_Oz67rVmg-1axjrdNOUkZB2QY1Mq21tMIi420jYGNbpoBy3nHYaKUAaSegVQ0K7NA1R9XH1Xec2wGdLRkT9GZMfoD0YCJ48zcS_K25iXdG6oZxLYrB251Bij9nzJMZfLbY9xAwztlw2nClm0byQn3zD3Ub51SCLyythZZ8s7CalWVTzDlh9_QZRs1SFLMrilmKYtaiFNXr_RxPmj-1KISTleD8uGfJhBZsSXG6osX7v957BJY32NI</recordid><startdate>20180401</startdate><enddate>20180401</enddate><creator>Fliesser, Michael</creator><creator>De Witt Huberts, Jessie</creator><creator>Wippert, Pia-Maria</creator><general>BMJ Publishing Group LTD</general><general>BMJ Publishing Group</general><scope>9YT</scope><scope>ACMMV</scope><scope>9S6</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BTHHO</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>K9-</scope><scope>K9.</scope><scope>KB0</scope><scope>M0R</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-7674-1660</orcidid></search><sort><creationdate>20180401</creationdate><title>Education, job position, income or multidimensional indices? Associations between different socioeconomic status indicators and chronic low back pain in a German sample: a longitudinal field study</title><author>Fliesser, Michael ; De Witt Huberts, Jessie ; Wippert, Pia-Maria</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b492t-1f1bd9d5010a7c3e9e19995c4ce12b34a6cb17a022f2a6977ae0f4ab73e4efed3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Arbeitsplatz</topic><topic>Assoziation</topic><topic>Back pain</topic><topic>Beeinflussung</topic><topic>Bildung</topic><topic>Chronische Krankheit</topic><topic>Education</topic><topic>Educational Status</topic><topic>Einkommen</topic><topic>Epidemiology</topic><topic>Field study</topic><topic>Germany</topic><topic>Gesundheit</topic><topic>Health behavior</topic><topic>Humans</topic><topic>Income</topic><topic>Influence</topic><topic>Longitudinal Studies</topic><topic>Low Back Pain</topic><topic>Längsschnittuntersuchung</topic><topic>Middle Aged</topic><topic>Prävention</topic><topic>Public health</topic><topic>Rückenschmerz</topic><topic>Sample size</topic><topic>Social Class</topic><topic>Socioeconomic factors</topic><topic>Socioeconomic status</topic><topic>Sociology</topic><topic>Soziologie</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fliesser, Michael</creatorcontrib><creatorcontrib>De Witt Huberts, Jessie</creatorcontrib><creatorcontrib>Wippert, Pia-Maria</creatorcontrib><collection>BMJ Open Access Journals</collection><collection>BMJ Journals:Open Access</collection><collection>FIS Bildung Literaturdatenbank</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>BMJ Journals</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Consumer Health Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>BMJ open</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fliesser, Michael</au><au>De Witt Huberts, Jessie</au><au>Wippert, Pia-Maria</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Education, job position, income or multidimensional indices? Associations between different socioeconomic status indicators and chronic low back pain in a German sample: a longitudinal field study</atitle><jtitle>BMJ open</jtitle><addtitle>BMJ Open</addtitle><date>2018-04-01</date><risdate>2018</risdate><volume>8</volume><issue>4</issue><spage>7</spage><epage>8:4, Art. e020207<7</epage><pages>7-8:4, Art. e020207<7</pages><issn>2044-6055</issn><eissn>2044-6055</eissn><abstract>ObjectiveTo investigate associations between socioeconomic status (SES) indicators (education, job position, income, multidimensional index) and the genesis of chronic low back pain (CLBP).DesignLongitudinal field study (baseline and 6-month follow-up).SettingFour medical clinics across Germany.Participants352 people were included according to the following criteria: (1) between 18 and 65 years of age, (2) intermittent pain and (3) an understanding of the study and the ability to answer a questionnaire without help. Exclusion criteria were: (1) pregnancy, (2) inability to stand upright, (3) inability to give sick leave information, (4) signs of serious spinal pathology, (5) acute pain in the past 7 days or (6) an incomplete SES indicators questionnaire.Outcome measuresSubjective intensity and disability of CLBP.ResultsAnalysis showed that job position was the best single predictor of CLBP intensity, followed by a multidimensional index. Education and income had no significant association with intensity. Subjective disability was best predicted by job position, succeeded by the multidimensional index and education, while income again had no significant association.ConclusionThe results showed that SES indicators have different strong associations with the genesis of CLBP and should therefore not be used interchangeably. Job position was found to be the single most important indicator. These results could be helpful in the planning of back pain care programmes, but in general, more research on the relationship between SES and health outcomes is needed.</abstract><cop>England</cop><pub>BMJ Publishing Group LTD</pub><pmid>29705759</pmid><doi>10.1136/bmjopen-2017-020207</doi><orcidid>https://orcid.org/0000-0002-7674-1660</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Adolescent Adult Aged Arbeitsplatz Assoziation Back pain Beeinflussung Bildung Chronische Krankheit Education Educational Status Einkommen Epidemiology Field study Germany Gesundheit Health behavior Humans Income Influence Longitudinal Studies Low Back Pain Längsschnittuntersuchung Middle Aged Prävention Public health Rückenschmerz Sample size Social Class Socioeconomic factors Socioeconomic status Sociology Soziologie Young Adult |
| title | Education, job position, income or multidimensional indices? Associations between different socioeconomic status indicators and chronic low back pain in a German sample: a longitudinal field study |
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