How do perceived and objective measures of neighbourhood disadvantage vary over time? Results from a prospective-longitudinal study in the UK with implications for longitudinal research on neighbourhood effects on health
Theories of health outcomes often hypothesize that living in more socially and economically disadvantaged neighbourhoods will lead to worse health. Multiple measures of neighbourhood disadvantage are available to researchers, which may serve as better or worse proxies for each other across time. To...
Gespeichert in:
| Veröffentlicht in: | PloS one 2020-04, Vol.15 (4), p.e0231779-e0231779 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | e0231779 |
|---|---|
| container_issue | 4 |
| container_start_page | e0231779 |
| container_title | PloS one |
| container_volume | 15 |
| creator | Yakubovich, Alexa R Heron, Jon Humphreys, David K |
| description | Theories of health outcomes often hypothesize that living in more socially and economically disadvantaged neighbourhoods will lead to worse health. Multiple measures of neighbourhood disadvantage are available to researchers, which may serve as better or worse proxies for each other across time. To inform longitudinal study design and interpretation we investigated how perceived and objective measures of neighbourhood disadvantage vary over time and the factors underlying this variation.
Data were from 8,918 mothers with at least three time-points of neighbourhood data in the Avon Longitudinal Study of Parents and Children in the UK. We analyzed measures of objective (Indices of Multiple Deprivation) and perceived (neighbourhood quality, social cohesion, and stress) exposure to neighbourhood disadvantage at 10 time-points over 18 years. We used group-based trajectory modelling to determine the overlap in participants' trajectories on the different measures and evaluated the baseline factors associated with different perceived trajectories over time.
There was evidence of heterogeneity in both perceived and objective measures of neighbourhood disadvantage over time (e.g., on the objective measure, 5% of participants moved to more deprived neighbourhoods, 11% moved to less deprived neighbourhoods, 20% consistently lived in deprived neighbourhoods, and 64% consistently lived in non-deprived neighbourhoods). Perceived social cohesion showed the weakest relationship with exposure to objective neighbourhood deprivation: most participants in each trajectory group of objective neighbourhood deprivation followed non-corresponding trajectories of perceived social cohesion (61-80%). Accounting for objective deprivation exposure, poorer socioeconomic and psychosocial indicators at baseline were associated with following more negative perceived neighbourhood trajectories (e.g., high neighbourhood stress) over time.
Trajectories of perceived and objective measures of neighbourhood disadvantage varied over time, with the extent of variation depending on the time point of measurement and individual-level social factors. Researchers should be mindful of this variation when choosing and determining the timing of measures of neighbourhood disadvantage in longitudinal studies and when inferring effect mechanisms. |
| doi_str_mv | 10.1371/journal.pone.0231779 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_plos_</sourceid><recordid>TN_cdi_plos_journals_2390639612</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_480f19b698574c118bd953977364c375</doaj_id><sourcerecordid>2391975716</sourcerecordid><originalsourceid>FETCH-LOGICAL-c526t-ed76e20f370c44774a2da89f4c499d82516efa30d779cb933d6a8cb75d6bb9843</originalsourceid><addsrcrecordid>eNptUsFu1DAQjRCIlsIfILDEpZddYjux4wsVqgqtqISE6Nly7MnGq8QOtrNV_5WPwdvdVt2Kk8eeN2_eeF5RvMflElOOP6_9HJwalpN3sCwJxZyLF8UxFpQsGCnpyyfxUfEmxnVZ1rRh7HVxRAkRDWXVcfH30t8i49EEQYPdgEHKGeTbNeiUr2gEFecAEfkOObCrvs1te-8NMjYqs1EuqRWgjQp3yG8goGRHOEO_IM5DiqgLfkQKTcHHace4GLxb2TQbm8WjmIM7ZB1KPaCbH-jWph7ZcRqsVsl6lxl8QAclWQyooHvk3TNF0HW5R9wmelBD6t8Wrzo1RHi3P0-Km28Xv88vF9c_v1-df71e6JqwtADDGZCyo7zUVcV5pYhRjegqXQlhGlJjBp2ipck_rFtBqWGq0S2vDWtb0VT0pPi4450GH-V-MVESKkpGBcMkI652COPVWk7BjvnDpFdW3j_4sJIqJKsHkFVTdli0TDQ1rzTGTWtETQXneV-a8jpzfdl3m9sRjAaXghoOSA8zzvZy5TeSY0YqtiU43RME_2eGmORoo4ZhUA78fK8bC15neIZ-egb9_3TVDqXznmOA7lEMLuXWrA9VcmtWuTdrLvvwdJDHogd30n8gj-44</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2390639612</pqid></control><display><type>article</type><title>How do perceived and objective measures of neighbourhood disadvantage vary over time? Results from a prospective-longitudinal study in the UK with implications for longitudinal research on neighbourhood effects on health</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Public Library of Science (PLoS) Journals Open Access</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><creator>Yakubovich, Alexa R ; Heron, Jon ; Humphreys, David K</creator><contributor>Mughal, Muhammad A. Z.</contributor><creatorcontrib>Yakubovich, Alexa R ; Heron, Jon ; Humphreys, David K ; Mughal, Muhammad A. Z.</creatorcontrib><description>Theories of health outcomes often hypothesize that living in more socially and economically disadvantaged neighbourhoods will lead to worse health. Multiple measures of neighbourhood disadvantage are available to researchers, which may serve as better or worse proxies for each other across time. To inform longitudinal study design and interpretation we investigated how perceived and objective measures of neighbourhood disadvantage vary over time and the factors underlying this variation.
Data were from 8,918 mothers with at least three time-points of neighbourhood data in the Avon Longitudinal Study of Parents and Children in the UK. We analyzed measures of objective (Indices of Multiple Deprivation) and perceived (neighbourhood quality, social cohesion, and stress) exposure to neighbourhood disadvantage at 10 time-points over 18 years. We used group-based trajectory modelling to determine the overlap in participants' trajectories on the different measures and evaluated the baseline factors associated with different perceived trajectories over time.
There was evidence of heterogeneity in both perceived and objective measures of neighbourhood disadvantage over time (e.g., on the objective measure, 5% of participants moved to more deprived neighbourhoods, 11% moved to less deprived neighbourhoods, 20% consistently lived in deprived neighbourhoods, and 64% consistently lived in non-deprived neighbourhoods). Perceived social cohesion showed the weakest relationship with exposure to objective neighbourhood deprivation: most participants in each trajectory group of objective neighbourhood deprivation followed non-corresponding trajectories of perceived social cohesion (61-80%). Accounting for objective deprivation exposure, poorer socioeconomic and psychosocial indicators at baseline were associated with following more negative perceived neighbourhood trajectories (e.g., high neighbourhood stress) over time.
Trajectories of perceived and objective measures of neighbourhood disadvantage varied over time, with the extent of variation depending on the time point of measurement and individual-level social factors. Researchers should be mindful of this variation when choosing and determining the timing of measures of neighbourhood disadvantage in longitudinal studies and when inferring effect mechanisms.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0231779</identifier><identifier>PMID: 32298364</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject><![CDATA[Adolescent ; Adult ; Age ; Biology and Life Sciences ; Child ; Child, Preschool ; Children ; Children & youth ; Cohesion ; Correlation analysis ; Crime - statistics & numerical data ; Demography ; Deprivation ; Education - statistics & numerical data ; Employment - statistics & numerical data ; Ethics ; Exposure ; Female ; Health - statistics & numerical data ; Heterogeneity ; Housing - statistics & numerical data ; Humans ; Income - statistics & numerical data ; Infant ; Infant, Newborn ; Intervention ; Longitudinal Studies ; Medicine and Health Sciences ; Models, Statistical ; People and Places ; Perceptions ; Pregnancy ; Prospective Studies ; Research and Analysis Methods ; Residence Characteristics - statistics & numerical data ; Social Environment ; Social factors ; Social interactions ; Social policy ; Social Sciences ; Socioeconomic Factors ; Time Factors ; Trajectory measurement ; United Kingdom ; Variation ; Womens health]]></subject><ispartof>PloS one, 2020-04, Vol.15 (4), p.e0231779-e0231779</ispartof><rights>2020 Yakubovich et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2020 Yakubovich et al 2020 Yakubovich et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c526t-ed76e20f370c44774a2da89f4c499d82516efa30d779cb933d6a8cb75d6bb9843</citedby><cites>FETCH-LOGICAL-c526t-ed76e20f370c44774a2da89f4c499d82516efa30d779cb933d6a8cb75d6bb9843</cites><orcidid>0000-0003-4216-4305</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7162465/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7162465/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793,79600,79601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32298364$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Mughal, Muhammad A. Z.</contributor><creatorcontrib>Yakubovich, Alexa R</creatorcontrib><creatorcontrib>Heron, Jon</creatorcontrib><creatorcontrib>Humphreys, David K</creatorcontrib><title>How do perceived and objective measures of neighbourhood disadvantage vary over time? Results from a prospective-longitudinal study in the UK with implications for longitudinal research on neighbourhood effects on health</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Theories of health outcomes often hypothesize that living in more socially and economically disadvantaged neighbourhoods will lead to worse health. Multiple measures of neighbourhood disadvantage are available to researchers, which may serve as better or worse proxies for each other across time. To inform longitudinal study design and interpretation we investigated how perceived and objective measures of neighbourhood disadvantage vary over time and the factors underlying this variation.
Data were from 8,918 mothers with at least three time-points of neighbourhood data in the Avon Longitudinal Study of Parents and Children in the UK. We analyzed measures of objective (Indices of Multiple Deprivation) and perceived (neighbourhood quality, social cohesion, and stress) exposure to neighbourhood disadvantage at 10 time-points over 18 years. We used group-based trajectory modelling to determine the overlap in participants' trajectories on the different measures and evaluated the baseline factors associated with different perceived trajectories over time.
There was evidence of heterogeneity in both perceived and objective measures of neighbourhood disadvantage over time (e.g., on the objective measure, 5% of participants moved to more deprived neighbourhoods, 11% moved to less deprived neighbourhoods, 20% consistently lived in deprived neighbourhoods, and 64% consistently lived in non-deprived neighbourhoods). Perceived social cohesion showed the weakest relationship with exposure to objective neighbourhood deprivation: most participants in each trajectory group of objective neighbourhood deprivation followed non-corresponding trajectories of perceived social cohesion (61-80%). Accounting for objective deprivation exposure, poorer socioeconomic and psychosocial indicators at baseline were associated with following more negative perceived neighbourhood trajectories (e.g., high neighbourhood stress) over time.
Trajectories of perceived and objective measures of neighbourhood disadvantage varied over time, with the extent of variation depending on the time point of measurement and individual-level social factors. Researchers should be mindful of this variation when choosing and determining the timing of measures of neighbourhood disadvantage in longitudinal studies and when inferring effect mechanisms.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Age</subject><subject>Biology and Life Sciences</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Children</subject><subject>Children & youth</subject><subject>Cohesion</subject><subject>Correlation analysis</subject><subject>Crime - statistics & numerical data</subject><subject>Demography</subject><subject>Deprivation</subject><subject>Education - statistics & numerical data</subject><subject>Employment - statistics & numerical data</subject><subject>Ethics</subject><subject>Exposure</subject><subject>Female</subject><subject>Health - statistics & numerical data</subject><subject>Heterogeneity</subject><subject>Housing - statistics & numerical data</subject><subject>Humans</subject><subject>Income - statistics & numerical data</subject><subject>Infant</subject><subject>Infant, Newborn</subject><subject>Intervention</subject><subject>Longitudinal Studies</subject><subject>Medicine and Health Sciences</subject><subject>Models, Statistical</subject><subject>People and Places</subject><subject>Perceptions</subject><subject>Pregnancy</subject><subject>Prospective Studies</subject><subject>Research and Analysis Methods</subject><subject>Residence Characteristics - statistics & numerical data</subject><subject>Social Environment</subject><subject>Social factors</subject><subject>Social interactions</subject><subject>Social policy</subject><subject>Social Sciences</subject><subject>Socioeconomic Factors</subject><subject>Time Factors</subject><subject>Trajectory measurement</subject><subject>United Kingdom</subject><subject>Variation</subject><subject>Womens health</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNptUsFu1DAQjRCIlsIfILDEpZddYjux4wsVqgqtqISE6Nly7MnGq8QOtrNV_5WPwdvdVt2Kk8eeN2_eeF5RvMflElOOP6_9HJwalpN3sCwJxZyLF8UxFpQsGCnpyyfxUfEmxnVZ1rRh7HVxRAkRDWXVcfH30t8i49EEQYPdgEHKGeTbNeiUr2gEFecAEfkOObCrvs1te-8NMjYqs1EuqRWgjQp3yG8goGRHOEO_IM5DiqgLfkQKTcHHace4GLxb2TQbm8WjmIM7ZB1KPaCbH-jWph7ZcRqsVsl6lxl8QAclWQyooHvk3TNF0HW5R9wmelBD6t8Wrzo1RHi3P0-Km28Xv88vF9c_v1-df71e6JqwtADDGZCyo7zUVcV5pYhRjegqXQlhGlJjBp2ipck_rFtBqWGq0S2vDWtb0VT0pPi4450GH-V-MVESKkpGBcMkI652COPVWk7BjvnDpFdW3j_4sJIqJKsHkFVTdli0TDQ1rzTGTWtETQXneV-a8jpzfdl3m9sRjAaXghoOSA8zzvZy5TeSY0YqtiU43RME_2eGmORoo4ZhUA78fK8bC15neIZ-egb9_3TVDqXznmOA7lEMLuXWrA9VcmtWuTdrLvvwdJDHogd30n8gj-44</recordid><startdate>20200416</startdate><enddate>20200416</enddate><creator>Yakubovich, Alexa R</creator><creator>Heron, Jon</creator><creator>Humphreys, David K</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><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>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-4216-4305</orcidid></search><sort><creationdate>20200416</creationdate><title>How do perceived and objective measures of neighbourhood disadvantage vary over time? Results from a prospective-longitudinal study in the UK with implications for longitudinal research on neighbourhood effects on health</title><author>Yakubovich, Alexa R ; Heron, Jon ; Humphreys, David K</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c526t-ed76e20f370c44774a2da89f4c499d82516efa30d779cb933d6a8cb75d6bb9843</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Age</topic><topic>Biology and Life Sciences</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>Children</topic><topic>Children & youth</topic><topic>Cohesion</topic><topic>Correlation analysis</topic><topic>Crime - statistics & numerical data</topic><topic>Demography</topic><topic>Deprivation</topic><topic>Education - statistics & numerical data</topic><topic>Employment - statistics & numerical data</topic><topic>Ethics</topic><topic>Exposure</topic><topic>Female</topic><topic>Health - statistics & numerical data</topic><topic>Heterogeneity</topic><topic>Housing - statistics & numerical data</topic><topic>Humans</topic><topic>Income - statistics & numerical data</topic><topic>Infant</topic><topic>Infant, Newborn</topic><topic>Intervention</topic><topic>Longitudinal Studies</topic><topic>Medicine and Health Sciences</topic><topic>Models, Statistical</topic><topic>People and Places</topic><topic>Perceptions</topic><topic>Pregnancy</topic><topic>Prospective Studies</topic><topic>Research and Analysis Methods</topic><topic>Residence Characteristics - statistics & numerical data</topic><topic>Social Environment</topic><topic>Social factors</topic><topic>Social interactions</topic><topic>Social policy</topic><topic>Social Sciences</topic><topic>Socioeconomic Factors</topic><topic>Time Factors</topic><topic>Trajectory measurement</topic><topic>United Kingdom</topic><topic>Variation</topic><topic>Womens health</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yakubovich, Alexa R</creatorcontrib><creatorcontrib>Heron, Jon</creatorcontrib><creatorcontrib>Humphreys, David K</creatorcontrib><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>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</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>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yakubovich, Alexa R</au><au>Heron, Jon</au><au>Humphreys, David K</au><au>Mughal, Muhammad A. Z.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>How do perceived and objective measures of neighbourhood disadvantage vary over time? Results from a prospective-longitudinal study in the UK with implications for longitudinal research on neighbourhood effects on health</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2020-04-16</date><risdate>2020</risdate><volume>15</volume><issue>4</issue><spage>e0231779</spage><epage>e0231779</epage><pages>e0231779-e0231779</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Theories of health outcomes often hypothesize that living in more socially and economically disadvantaged neighbourhoods will lead to worse health. Multiple measures of neighbourhood disadvantage are available to researchers, which may serve as better or worse proxies for each other across time. To inform longitudinal study design and interpretation we investigated how perceived and objective measures of neighbourhood disadvantage vary over time and the factors underlying this variation.
Data were from 8,918 mothers with at least three time-points of neighbourhood data in the Avon Longitudinal Study of Parents and Children in the UK. We analyzed measures of objective (Indices of Multiple Deprivation) and perceived (neighbourhood quality, social cohesion, and stress) exposure to neighbourhood disadvantage at 10 time-points over 18 years. We used group-based trajectory modelling to determine the overlap in participants' trajectories on the different measures and evaluated the baseline factors associated with different perceived trajectories over time.
There was evidence of heterogeneity in both perceived and objective measures of neighbourhood disadvantage over time (e.g., on the objective measure, 5% of participants moved to more deprived neighbourhoods, 11% moved to less deprived neighbourhoods, 20% consistently lived in deprived neighbourhoods, and 64% consistently lived in non-deprived neighbourhoods). Perceived social cohesion showed the weakest relationship with exposure to objective neighbourhood deprivation: most participants in each trajectory group of objective neighbourhood deprivation followed non-corresponding trajectories of perceived social cohesion (61-80%). Accounting for objective deprivation exposure, poorer socioeconomic and psychosocial indicators at baseline were associated with following more negative perceived neighbourhood trajectories (e.g., high neighbourhood stress) over time.
Trajectories of perceived and objective measures of neighbourhood disadvantage varied over time, with the extent of variation depending on the time point of measurement and individual-level social factors. Researchers should be mindful of this variation when choosing and determining the timing of measures of neighbourhood disadvantage in longitudinal studies and when inferring effect mechanisms.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>32298364</pmid><doi>10.1371/journal.pone.0231779</doi><orcidid>https://orcid.org/0000-0003-4216-4305</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2020-04, Vol.15 (4), p.e0231779-e0231779 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_2390639612 |
| source | MEDLINE; DOAJ Directory of Open Access Journals; Public Library of Science (PLoS) Journals Open Access; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Adolescent Adult Age Biology and Life Sciences Child Child, Preschool Children Children & youth Cohesion Correlation analysis Crime - statistics & numerical data Demography Deprivation Education - statistics & numerical data Employment - statistics & numerical data Ethics Exposure Female Health - statistics & numerical data Heterogeneity Housing - statistics & numerical data Humans Income - statistics & numerical data Infant Infant, Newborn Intervention Longitudinal Studies Medicine and Health Sciences Models, Statistical People and Places Perceptions Pregnancy Prospective Studies Research and Analysis Methods Residence Characteristics - statistics & numerical data Social Environment Social factors Social interactions Social policy Social Sciences Socioeconomic Factors Time Factors Trajectory measurement United Kingdom Variation Womens health |
| title | How do perceived and objective measures of neighbourhood disadvantage vary over time? Results from a prospective-longitudinal study in the UK with implications for longitudinal research on neighbourhood effects on health |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-30T08%3A53%3A46IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=How%20do%20perceived%20and%20objective%20measures%20of%20neighbourhood%20disadvantage%20vary%20over%20time?%20Results%20from%20a%20prospective-longitudinal%20study%20in%20the%20UK%20with%20implications%20for%20longitudinal%20research%20on%20neighbourhood%20effects%20on%20health&rft.jtitle=PloS%20one&rft.au=Yakubovich,%20Alexa%20R&rft.date=2020-04-16&rft.volume=15&rft.issue=4&rft.spage=e0231779&rft.epage=e0231779&rft.pages=e0231779-e0231779&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0231779&rft_dat=%3Cproquest_plos_%3E2391975716%3C/proquest_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2390639612&rft_id=info:pmid/32298364&rft_doaj_id=oai_doaj_org_article_480f19b698574c118bd953977364c375&rfr_iscdi=true |