Place-Based Measures of Inequity and Vision Difficulty and Blindness
Known social risk factors associated with poor visual and systemic health in the US include segregation, income inequality, and persistent poverty. To investigate the association of vision difficulty, including blindness, in neighborhoods with measures of inequity (Theil H index, Gini index, and per...
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| Veröffentlicht in: | Archives of ophthalmology (1960) 2024-06, Vol.142 (6), p.540 |
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| container_title | Archives of ophthalmology (1960) |
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| creator | Hicks, Patrice M Lin, George Newman-Casey, Paula Anne Niziol, Leslie M Lu, Ming-Chen Woodward, Maria A Elam, Angela R Musch, David C Mehdipanah, Roshanak Ehrlich, Joshua R Rein, David B |
| description | Known social risk factors associated with poor visual and systemic health in the US include segregation, income inequality, and persistent poverty.
To investigate the association of vision difficulty, including blindness, in neighborhoods with measures of inequity (Theil H index, Gini index, and persistent poverty).
This cross-sectional study used data from the 2012-2016 American Community Survey and 2010 US census tracts as well as Theil H index, Gini index, and persistent poverty measures from PolicyMap. Data analysis was completed in July 2023.
The main outcome was the number of census tract residents reporting vision difficulty and blindness (VDB) and the association with the Theil H index, Gini index, or persistent poverty, assessed using logistic regression.
In total, 73 198 census tracts were analyzed. For every 0.1-unit increase in Theil H index and Gini index, there was an increased odds of VDB after controlling for census tract-level median age, the percentage of the population that identified as female sex, the percentage of the population that identified as a member of a racial or ethnic minority group, state, and population size (Theil H index: odds ratio [OR], 1.14 [95% CI, 1.14-1.14; P |
| doi_str_mv | 10.1001/jamaophthalmol.2024.1207 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_3053972308</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3080762368</sourcerecordid><originalsourceid>FETCH-LOGICAL-c343t-eaed159af1d04ec93319740134ee82d28f9f05d354d9bc8d9d82e061c564f9c3</originalsourceid><addsrcrecordid>eNpdkEtrAjEQgENpqWL9C2Whl17WTpJ9ZI9V-xAs7UF6DTGZYGR3oxv34L_vLlqhncsMwzcPPkIiChMKQJ-2qlJ-tzlsVFn5csKAJRPKIL8iQ0YzEWc059eXOksHZBzCFroQAAlPb8mAi5yxLIUhmX-VSmM8VQFN9IEqtA2GyNtoUeO-dYdjpGoTfbvgfB3NnbVOt-W5Oy1dbWoM4Y7cWFUGHJ_ziKxeX1az93j5-baYPS9jzRN-iFGhoWmhLDWQoC44p0WeAOUJomCGCVtYSA1PE1OstTCFEQwhozrNEltoPiKPp7W7xu9bDAdZuaCxLFWNvg2SQ8qLnHEQHfrwD936tqm75zpKQJ4xnvWUOFG68SE0aOWucZVqjpKC7F3Lv65l71r2rrvR-_OBdl2huQz-muU_TrZ9ZQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3080762368</pqid></control><display><type>article</type><title>Place-Based Measures of Inequity and Vision Difficulty and Blindness</title><source>MEDLINE</source><source>American Medical Association Journals</source><creator>Hicks, Patrice M ; Lin, George ; Newman-Casey, Paula Anne ; Niziol, Leslie M ; Lu, Ming-Chen ; Woodward, Maria A ; Elam, Angela R ; Musch, David C ; Mehdipanah, Roshanak ; Ehrlich, Joshua R ; Rein, David B</creator><creatorcontrib>Hicks, Patrice M ; Lin, George ; Newman-Casey, Paula Anne ; Niziol, Leslie M ; Lu, Ming-Chen ; Woodward, Maria A ; Elam, Angela R ; Musch, David C ; Mehdipanah, Roshanak ; Ehrlich, Joshua R ; Rein, David B</creatorcontrib><description>Known social risk factors associated with poor visual and systemic health in the US include segregation, income inequality, and persistent poverty.
To investigate the association of vision difficulty, including blindness, in neighborhoods with measures of inequity (Theil H index, Gini index, and persistent poverty).
This cross-sectional study used data from the 2012-2016 American Community Survey and 2010 US census tracts as well as Theil H index, Gini index, and persistent poverty measures from PolicyMap. Data analysis was completed in July 2023.
The main outcome was the number of census tract residents reporting vision difficulty and blindness (VDB) and the association with the Theil H index, Gini index, or persistent poverty, assessed using logistic regression.
In total, 73 198 census tracts were analyzed. For every 0.1-unit increase in Theil H index and Gini index, there was an increased odds of VDB after controlling for census tract-level median age, the percentage of the population that identified as female sex, the percentage of the population that identified as a member of a racial or ethnic minority group, state, and population size (Theil H index: odds ratio [OR], 1.14 [95% CI, 1.14-1.14; P < .001]; Gini index: OR, 1.15 [95% CI, 1.15-1.15; P < .001]). Persistent poverty was associated with an increased odds of VDB after controlling for census tract-level median age, the percentage of the population that identified as female sex, the percentage of the population that identified as a member of a racial or ethnic minority group, state, and population size compared with nonpersistent poverty (OR, 1.36; 95% CI, 1.35-1.36; P < .001).
In this cross-sectional study, residential measures of inequity through segregation, income inequality, or persistent poverty were associated with a greater number of residents living with VDB. It is essential to understand and address how neighborhood characteristics can impact rates of VDB.</description><identifier>ISSN: 2168-6165</identifier><identifier>ISSN: 2168-6173</identifier><identifier>EISSN: 2168-6173</identifier><identifier>DOI: 10.1001/jamaophthalmol.2024.1207</identifier><identifier>PMID: 38722650</identifier><language>eng</language><publisher>United States: American Medical Association</publisher><subject>Adult ; Aged ; Blindness ; Blindness - epidemiology ; Census ; Censuses ; Cross-Sectional Studies ; Female ; Health Inequities ; Hirsch index ; Humans ; Income inequality ; Male ; Middle Aged ; Minority & ethnic groups ; Neighborhood Characteristics ; Poverty ; Risk Factors ; Segregation ; Socioeconomic Factors ; United States - epidemiology ; Vision</subject><ispartof>Archives of ophthalmology (1960), 2024-06, Vol.142 (6), p.540</ispartof><rights>Copyright American Medical Association Jun 2024</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c343t-eaed159af1d04ec93319740134ee82d28f9f05d354d9bc8d9d82e061c564f9c3</citedby><cites>FETCH-LOGICAL-c343t-eaed159af1d04ec93319740134ee82d28f9f05d354d9bc8d9d82e061c564f9c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38722650$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hicks, Patrice M</creatorcontrib><creatorcontrib>Lin, George</creatorcontrib><creatorcontrib>Newman-Casey, Paula Anne</creatorcontrib><creatorcontrib>Niziol, Leslie M</creatorcontrib><creatorcontrib>Lu, Ming-Chen</creatorcontrib><creatorcontrib>Woodward, Maria A</creatorcontrib><creatorcontrib>Elam, Angela R</creatorcontrib><creatorcontrib>Musch, David C</creatorcontrib><creatorcontrib>Mehdipanah, Roshanak</creatorcontrib><creatorcontrib>Ehrlich, Joshua R</creatorcontrib><creatorcontrib>Rein, David B</creatorcontrib><title>Place-Based Measures of Inequity and Vision Difficulty and Blindness</title><title>Archives of ophthalmology (1960)</title><addtitle>JAMA Ophthalmol</addtitle><description>Known social risk factors associated with poor visual and systemic health in the US include segregation, income inequality, and persistent poverty.
To investigate the association of vision difficulty, including blindness, in neighborhoods with measures of inequity (Theil H index, Gini index, and persistent poverty).
This cross-sectional study used data from the 2012-2016 American Community Survey and 2010 US census tracts as well as Theil H index, Gini index, and persistent poverty measures from PolicyMap. Data analysis was completed in July 2023.
The main outcome was the number of census tract residents reporting vision difficulty and blindness (VDB) and the association with the Theil H index, Gini index, or persistent poverty, assessed using logistic regression.
In total, 73 198 census tracts were analyzed. For every 0.1-unit increase in Theil H index and Gini index, there was an increased odds of VDB after controlling for census tract-level median age, the percentage of the population that identified as female sex, the percentage of the population that identified as a member of a racial or ethnic minority group, state, and population size (Theil H index: odds ratio [OR], 1.14 [95% CI, 1.14-1.14; P < .001]; Gini index: OR, 1.15 [95% CI, 1.15-1.15; P < .001]). Persistent poverty was associated with an increased odds of VDB after controlling for census tract-level median age, the percentage of the population that identified as female sex, the percentage of the population that identified as a member of a racial or ethnic minority group, state, and population size compared with nonpersistent poverty (OR, 1.36; 95% CI, 1.35-1.36; P < .001).
In this cross-sectional study, residential measures of inequity through segregation, income inequality, or persistent poverty were associated with a greater number of residents living with VDB. It is essential to understand and address how neighborhood characteristics can impact rates of VDB.</description><subject>Adult</subject><subject>Aged</subject><subject>Blindness</subject><subject>Blindness - epidemiology</subject><subject>Census</subject><subject>Censuses</subject><subject>Cross-Sectional Studies</subject><subject>Female</subject><subject>Health Inequities</subject><subject>Hirsch index</subject><subject>Humans</subject><subject>Income inequality</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Minority & ethnic groups</subject><subject>Neighborhood Characteristics</subject><subject>Poverty</subject><subject>Risk Factors</subject><subject>Segregation</subject><subject>Socioeconomic Factors</subject><subject>United States - epidemiology</subject><subject>Vision</subject><issn>2168-6165</issn><issn>2168-6173</issn><issn>2168-6173</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpdkEtrAjEQgENpqWL9C2Whl17WTpJ9ZI9V-xAs7UF6DTGZYGR3oxv34L_vLlqhncsMwzcPPkIiChMKQJ-2qlJ-tzlsVFn5csKAJRPKIL8iQ0YzEWc059eXOksHZBzCFroQAAlPb8mAi5yxLIUhmX-VSmM8VQFN9IEqtA2GyNtoUeO-dYdjpGoTfbvgfB3NnbVOt-W5Oy1dbWoM4Y7cWFUGHJ_ziKxeX1az93j5-baYPS9jzRN-iFGhoWmhLDWQoC44p0WeAOUJomCGCVtYSA1PE1OstTCFEQwhozrNEltoPiKPp7W7xu9bDAdZuaCxLFWNvg2SQ8qLnHEQHfrwD936tqm75zpKQJ4xnvWUOFG68SE0aOWucZVqjpKC7F3Lv65l71r2rrvR-_OBdl2huQz-muU_TrZ9ZQ</recordid><startdate>20240601</startdate><enddate>20240601</enddate><creator>Hicks, Patrice M</creator><creator>Lin, George</creator><creator>Newman-Casey, Paula Anne</creator><creator>Niziol, Leslie M</creator><creator>Lu, Ming-Chen</creator><creator>Woodward, Maria A</creator><creator>Elam, Angela R</creator><creator>Musch, David C</creator><creator>Mehdipanah, Roshanak</creator><creator>Ehrlich, Joshua R</creator><creator>Rein, David B</creator><general>American Medical Association</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>7TK</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope></search><sort><creationdate>20240601</creationdate><title>Place-Based Measures of Inequity and Vision Difficulty and Blindness</title><author>Hicks, Patrice M ; Lin, George ; Newman-Casey, Paula Anne ; Niziol, Leslie M ; Lu, Ming-Chen ; Woodward, Maria A ; Elam, Angela R ; Musch, David C ; Mehdipanah, Roshanak ; Ehrlich, Joshua R ; Rein, David B</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c343t-eaed159af1d04ec93319740134ee82d28f9f05d354d9bc8d9d82e061c564f9c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Blindness</topic><topic>Blindness - epidemiology</topic><topic>Census</topic><topic>Censuses</topic><topic>Cross-Sectional Studies</topic><topic>Female</topic><topic>Health Inequities</topic><topic>Hirsch index</topic><topic>Humans</topic><topic>Income inequality</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Minority & ethnic groups</topic><topic>Neighborhood Characteristics</topic><topic>Poverty</topic><topic>Risk Factors</topic><topic>Segregation</topic><topic>Socioeconomic Factors</topic><topic>United States - epidemiology</topic><topic>Vision</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hicks, Patrice M</creatorcontrib><creatorcontrib>Lin, George</creatorcontrib><creatorcontrib>Newman-Casey, Paula Anne</creatorcontrib><creatorcontrib>Niziol, Leslie M</creatorcontrib><creatorcontrib>Lu, Ming-Chen</creatorcontrib><creatorcontrib>Woodward, Maria A</creatorcontrib><creatorcontrib>Elam, Angela R</creatorcontrib><creatorcontrib>Musch, David C</creatorcontrib><creatorcontrib>Mehdipanah, Roshanak</creatorcontrib><creatorcontrib>Ehrlich, Joshua R</creatorcontrib><creatorcontrib>Rein, David B</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Neurosciences Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>Archives of ophthalmology (1960)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hicks, Patrice M</au><au>Lin, George</au><au>Newman-Casey, Paula Anne</au><au>Niziol, Leslie M</au><au>Lu, Ming-Chen</au><au>Woodward, Maria A</au><au>Elam, Angela R</au><au>Musch, David C</au><au>Mehdipanah, Roshanak</au><au>Ehrlich, Joshua R</au><au>Rein, David B</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Place-Based Measures of Inequity and Vision Difficulty and Blindness</atitle><jtitle>Archives of ophthalmology (1960)</jtitle><addtitle>JAMA Ophthalmol</addtitle><date>2024-06-01</date><risdate>2024</risdate><volume>142</volume><issue>6</issue><spage>540</spage><pages>540-</pages><issn>2168-6165</issn><issn>2168-6173</issn><eissn>2168-6173</eissn><abstract>Known social risk factors associated with poor visual and systemic health in the US include segregation, income inequality, and persistent poverty.
To investigate the association of vision difficulty, including blindness, in neighborhoods with measures of inequity (Theil H index, Gini index, and persistent poverty).
This cross-sectional study used data from the 2012-2016 American Community Survey and 2010 US census tracts as well as Theil H index, Gini index, and persistent poverty measures from PolicyMap. Data analysis was completed in July 2023.
The main outcome was the number of census tract residents reporting vision difficulty and blindness (VDB) and the association with the Theil H index, Gini index, or persistent poverty, assessed using logistic regression.
In total, 73 198 census tracts were analyzed. For every 0.1-unit increase in Theil H index and Gini index, there was an increased odds of VDB after controlling for census tract-level median age, the percentage of the population that identified as female sex, the percentage of the population that identified as a member of a racial or ethnic minority group, state, and population size (Theil H index: odds ratio [OR], 1.14 [95% CI, 1.14-1.14; P < .001]; Gini index: OR, 1.15 [95% CI, 1.15-1.15; P < .001]). Persistent poverty was associated with an increased odds of VDB after controlling for census tract-level median age, the percentage of the population that identified as female sex, the percentage of the population that identified as a member of a racial or ethnic minority group, state, and population size compared with nonpersistent poverty (OR, 1.36; 95% CI, 1.35-1.36; P < .001).
In this cross-sectional study, residential measures of inequity through segregation, income inequality, or persistent poverty were associated with a greater number of residents living with VDB. It is essential to understand and address how neighborhood characteristics can impact rates of VDB.</abstract><cop>United States</cop><pub>American Medical Association</pub><pmid>38722650</pmid><doi>10.1001/jamaophthalmol.2024.1207</doi></addata></record> |
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| identifier | ISSN: 2168-6165 |
| ispartof | Archives of ophthalmology (1960), 2024-06, Vol.142 (6), p.540 |
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| language | eng |
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| source | MEDLINE; American Medical Association Journals |
| subjects | Adult Aged Blindness Blindness - epidemiology Census Censuses Cross-Sectional Studies Female Health Inequities Hirsch index Humans Income inequality Male Middle Aged Minority & ethnic groups Neighborhood Characteristics Poverty Risk Factors Segregation Socioeconomic Factors United States - epidemiology Vision |
| title | Place-Based Measures of Inequity and Vision Difficulty and Blindness |
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