The Impact of Salmon Bias on the Hispanic Mortality Advantage: New Evidence from Social Security Data View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2008-10

AUTHORS

Cassio M. Turra, Irma T. Elo

ABSTRACT

A great deal of research has focused on factors that may contribute to the Hispanic mortality paradox in the United States. In this paper, we examine the role of the salmon bias hypothesis - the selective return of less-healthy Hispanics to their country of birth - on mortality at ages 65 and above. These analyses are based on data drawn from the Master Beneficiary Record and NUMIDENT data files of the Social Security Administration. These data provide the first direct evidence regarding the effect of salmon bias on the Hispanic mortality advantage. Although we confirm the existence of salmon bias, it is of too small a magnitude to be a primary explanation for the lower mortality of Hispanic than NH white primary social security beneficiaries. Longitudinal surveys that follow individuals in and out of the United States are needed to further explore the role of migration in the health and mortality of foreign-born US residents and factors that contribute to the Hispanic mortality paradox. More... »

PAGES

515

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11113-008-9087-4

DOI

http://dx.doi.org/10.1007/s11113-008-9087-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1006385481

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/19122882


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1117", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Public Health and Health Services", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Universidade Federal de Minas Gerais", 
          "id": "https://www.grid.ac/institutes/grid.8430.f", 
          "name": [
            "Department of Demography and Cedeplar, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Turra", 
        "givenName": "Cassio M.", 
        "id": "sg:person.0706211331.63", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0706211331.63"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Pennsylvania", 
          "id": "https://www.grid.ac/institutes/grid.25879.31", 
          "name": [
            "Graduate Group in Demography, Population Studies Center, University of Pennsylvania, 3718 Locust Walk, 19104-6298, Philadelphia, PA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Elo", 
        "givenName": "Irma T.", 
        "id": "sg:person.01032475640.36", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01032475640.36"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1111/j.1749-6632.2001.tb02751.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001769031"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.2307/2061451", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006029126", 
          "https://doi.org/10.2307/2061451"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/geronb/60.special_issue_2.s68", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006964910"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1353/hpu.2006.0067", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016917608"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0164027588104003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022571984"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0164027588104003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022571984"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1353/dem.2004.0024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022954754", 
          "https://doi.org/10.1353/dem.2004.0024"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.1993.03510200070034", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031297551"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1353/dem.2002.0028", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033100306", 
          "https://doi.org/10.1353/dem.2002.0028"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1468-2435.1990.tb00491.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035317941"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejm199511023331824", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037206864"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(84)91943-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039275821"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(84)91943-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039275821"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.1994.03510400023017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039979037"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.2307/2060964", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041354963", 
          "https://doi.org/10.2307/2060964"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1353/dem.2004.0001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049575530", 
          "https://doi.org/10.1353/dem.2004.0001"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/10920277.2002.10596055", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051396927"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.270.20.2464", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054156234"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2105/ajph.89.10.1543", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068876930"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2580322", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070006144"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074567410", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074886012", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1075098819", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082647569", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2008-10", 
    "datePublishedReg": "2008-10-01", 
    "description": "A great deal of research has focused on factors that may contribute to the Hispanic mortality paradox in the United States. In this paper, we examine the role of the salmon bias hypothesis - the selective return of less-healthy Hispanics to their country of birth - on mortality at ages 65 and above. These analyses are based on data drawn from the Master Beneficiary Record and NUMIDENT data files of the Social Security Administration. These data provide the first direct evidence regarding the effect of salmon bias on the Hispanic mortality advantage. Although we confirm the existence of salmon bias, it is of too small a magnitude to be a primary explanation for the lower mortality of Hispanic than NH white primary social security beneficiaries. Longitudinal surveys that follow individuals in and out of the United States are needed to further explore the role of migration in the health and mortality of foreign-born US residents and factors that contribute to the Hispanic mortality paradox.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11113-008-9087-4", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2633523", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1094213", 
        "issn": [
          "0167-5923", 
          "1573-7829"
        ], 
        "name": "Population Research and Policy Review", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "5", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "27"
      }
    ], 
    "name": "The Impact of Salmon Bias on the Hispanic Mortality Advantage: New Evidence from Social Security Data", 
    "pagination": "515", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "1e6a7c23db93d5747057b84046a72474b86fab41b4af68e3a4e9ee0ee05b77ef"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "19122882"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "8309372"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11113-008-9087-4"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1006385481"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11113-008-9087-4", 
      "https://app.dimensions.ai/details/publication/pub.1006385481"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T20:48", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8684_00000520.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs11113-008-9087-4"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s11113-008-9087-4'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s11113-008-9087-4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11113-008-9087-4'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11113-008-9087-4'


 

This table displays all metadata directly associated to this object as RDF triples.

148 TRIPLES      21 PREDICATES      51 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11113-008-9087-4 schema:about anzsrc-for:11
2 anzsrc-for:1117
3 schema:author N887353debdc044e4a12a621069034b19
4 schema:citation sg:pub.10.1353/dem.2002.0028
5 sg:pub.10.1353/dem.2004.0001
6 sg:pub.10.1353/dem.2004.0024
7 sg:pub.10.2307/2060964
8 sg:pub.10.2307/2061451
9 https://app.dimensions.ai/details/publication/pub.1074567410
10 https://app.dimensions.ai/details/publication/pub.1074886012
11 https://app.dimensions.ai/details/publication/pub.1075098819
12 https://app.dimensions.ai/details/publication/pub.1082647569
13 https://doi.org/10.1001/jama.1993.03510200070034
14 https://doi.org/10.1001/jama.1994.03510400023017
15 https://doi.org/10.1001/jama.270.20.2464
16 https://doi.org/10.1016/s0140-6736(84)91943-3
17 https://doi.org/10.1056/nejm199511023331824
18 https://doi.org/10.1080/10920277.2002.10596055
19 https://doi.org/10.1093/geronb/60.special_issue_2.s68
20 https://doi.org/10.1111/j.1468-2435.1990.tb00491.x
21 https://doi.org/10.1111/j.1749-6632.2001.tb02751.x
22 https://doi.org/10.1177/0164027588104003
23 https://doi.org/10.1353/hpu.2006.0067
24 https://doi.org/10.2105/ajph.89.10.1543
25 https://doi.org/10.2307/2580322
26 schema:datePublished 2008-10
27 schema:datePublishedReg 2008-10-01
28 schema:description A great deal of research has focused on factors that may contribute to the Hispanic mortality paradox in the United States. In this paper, we examine the role of the salmon bias hypothesis - the selective return of less-healthy Hispanics to their country of birth - on mortality at ages 65 and above. These analyses are based on data drawn from the Master Beneficiary Record and NUMIDENT data files of the Social Security Administration. These data provide the first direct evidence regarding the effect of salmon bias on the Hispanic mortality advantage. Although we confirm the existence of salmon bias, it is of too small a magnitude to be a primary explanation for the lower mortality of Hispanic than NH white primary social security beneficiaries. Longitudinal surveys that follow individuals in and out of the United States are needed to further explore the role of migration in the health and mortality of foreign-born US residents and factors that contribute to the Hispanic mortality paradox.
29 schema:genre research_article
30 schema:inLanguage en
31 schema:isAccessibleForFree true
32 schema:isPartOf N469a8e12dd8e4546b27fa695800eb800
33 Nd8470b79f1964a0181105523ae5a3828
34 sg:journal.1094213
35 schema:name The Impact of Salmon Bias on the Hispanic Mortality Advantage: New Evidence from Social Security Data
36 schema:pagination 515
37 schema:productId N679bebac3a5841f2a112250e5c940e0a
38 N6cee4404799f498884f289579eaadd9b
39 N9336acaf85ec4e5b893fc5d7d6226f47
40 Nc1ca006897974f258224fa83ff37241d
41 Ned0e35c0a26a411cb158e52363d81886
42 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006385481
43 https://doi.org/10.1007/s11113-008-9087-4
44 schema:sdDatePublished 2019-04-10T20:48
45 schema:sdLicense https://scigraph.springernature.com/explorer/license/
46 schema:sdPublisher Nbbfd53c92c214b87bacf2b159e34c7a8
47 schema:url http://link.springer.com/10.1007%2Fs11113-008-9087-4
48 sgo:license sg:explorer/license/
49 sgo:sdDataset articles
50 rdf:type schema:ScholarlyArticle
51 N469a8e12dd8e4546b27fa695800eb800 schema:issueNumber 5
52 rdf:type schema:PublicationIssue
53 N679bebac3a5841f2a112250e5c940e0a schema:name dimensions_id
54 schema:value pub.1006385481
55 rdf:type schema:PropertyValue
56 N68519f684d88455ab66aedc3dd6a8b47 rdf:first sg:person.01032475640.36
57 rdf:rest rdf:nil
58 N6cee4404799f498884f289579eaadd9b schema:name doi
59 schema:value 10.1007/s11113-008-9087-4
60 rdf:type schema:PropertyValue
61 N887353debdc044e4a12a621069034b19 rdf:first sg:person.0706211331.63
62 rdf:rest N68519f684d88455ab66aedc3dd6a8b47
63 N9336acaf85ec4e5b893fc5d7d6226f47 schema:name pubmed_id
64 schema:value 19122882
65 rdf:type schema:PropertyValue
66 Nbbfd53c92c214b87bacf2b159e34c7a8 schema:name Springer Nature - SN SciGraph project
67 rdf:type schema:Organization
68 Nc1ca006897974f258224fa83ff37241d schema:name nlm_unique_id
69 schema:value 8309372
70 rdf:type schema:PropertyValue
71 Nd8470b79f1964a0181105523ae5a3828 schema:volumeNumber 27
72 rdf:type schema:PublicationVolume
73 Ned0e35c0a26a411cb158e52363d81886 schema:name readcube_id
74 schema:value 1e6a7c23db93d5747057b84046a72474b86fab41b4af68e3a4e9ee0ee05b77ef
75 rdf:type schema:PropertyValue
76 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
77 schema:name Medical and Health Sciences
78 rdf:type schema:DefinedTerm
79 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
80 schema:name Public Health and Health Services
81 rdf:type schema:DefinedTerm
82 sg:grant.2633523 http://pending.schema.org/fundedItem sg:pub.10.1007/s11113-008-9087-4
83 rdf:type schema:MonetaryGrant
84 sg:journal.1094213 schema:issn 0167-5923
85 1573-7829
86 schema:name Population Research and Policy Review
87 rdf:type schema:Periodical
88 sg:person.01032475640.36 schema:affiliation https://www.grid.ac/institutes/grid.25879.31
89 schema:familyName Elo
90 schema:givenName Irma T.
91 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01032475640.36
92 rdf:type schema:Person
93 sg:person.0706211331.63 schema:affiliation https://www.grid.ac/institutes/grid.8430.f
94 schema:familyName Turra
95 schema:givenName Cassio M.
96 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0706211331.63
97 rdf:type schema:Person
98 sg:pub.10.1353/dem.2002.0028 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033100306
99 https://doi.org/10.1353/dem.2002.0028
100 rdf:type schema:CreativeWork
101 sg:pub.10.1353/dem.2004.0001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049575530
102 https://doi.org/10.1353/dem.2004.0001
103 rdf:type schema:CreativeWork
104 sg:pub.10.1353/dem.2004.0024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022954754
105 https://doi.org/10.1353/dem.2004.0024
106 rdf:type schema:CreativeWork
107 sg:pub.10.2307/2060964 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041354963
108 https://doi.org/10.2307/2060964
109 rdf:type schema:CreativeWork
110 sg:pub.10.2307/2061451 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006029126
111 https://doi.org/10.2307/2061451
112 rdf:type schema:CreativeWork
113 https://app.dimensions.ai/details/publication/pub.1074567410 schema:CreativeWork
114 https://app.dimensions.ai/details/publication/pub.1074886012 schema:CreativeWork
115 https://app.dimensions.ai/details/publication/pub.1075098819 schema:CreativeWork
116 https://app.dimensions.ai/details/publication/pub.1082647569 schema:CreativeWork
117 https://doi.org/10.1001/jama.1993.03510200070034 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031297551
118 rdf:type schema:CreativeWork
119 https://doi.org/10.1001/jama.1994.03510400023017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039979037
120 rdf:type schema:CreativeWork
121 https://doi.org/10.1001/jama.270.20.2464 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054156234
122 rdf:type schema:CreativeWork
123 https://doi.org/10.1016/s0140-6736(84)91943-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039275821
124 rdf:type schema:CreativeWork
125 https://doi.org/10.1056/nejm199511023331824 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037206864
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1080/10920277.2002.10596055 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051396927
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1093/geronb/60.special_issue_2.s68 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006964910
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1111/j.1468-2435.1990.tb00491.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1035317941
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1111/j.1749-6632.2001.tb02751.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1001769031
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1177/0164027588104003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022571984
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1353/hpu.2006.0067 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016917608
138 rdf:type schema:CreativeWork
139 https://doi.org/10.2105/ajph.89.10.1543 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068876930
140 rdf:type schema:CreativeWork
141 https://doi.org/10.2307/2580322 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070006144
142 rdf:type schema:CreativeWork
143 https://www.grid.ac/institutes/grid.25879.31 schema:alternateName University of Pennsylvania
144 schema:name Graduate Group in Demography, Population Studies Center, University of Pennsylvania, 3718 Locust Walk, 19104-6298, Philadelphia, PA, USA
145 rdf:type schema:Organization
146 https://www.grid.ac/institutes/grid.8430.f schema:alternateName Universidade Federal de Minas Gerais
147 schema:name Department of Demography and Cedeplar, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil
148 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...