Intersectionality and risk for ischemic heart disease in Sweden: Categorical and anti-categorical approaches
Intersectionality theory can contribute to epidemiology and public health by furthering understanding of power dynamics driving production of health disparities, and increasing knowledge about heterogeneities within, and overlap between, social categories. Drawing on McCall, we relate the first of t...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Wemrell, Maria [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2017transfer abstract |
|---|
| Schlagwörter: |
|---|
| Umfang: |
10 |
|---|
| Übergeordnetes Werk: |
Enthalten in: Multiple stage IV colorectal cancers in a patient who received multidisciplinary treatment, including chemotherapy and Japanese Kampo medicine: A case report - Aomatsu, Naoki ELSEVIER, 2021, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:177 ; year:2017 ; pages:213-222 ; extent:10 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.socscimed.2017.01.050 |
|---|
| Katalog-ID: |
ELV030426006 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | ELV030426006 | ||
| 003 | DE-627 | ||
| 005 | 20230625181631.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 180603s2017 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1016/j.socscimed.2017.01.050 |2 doi | |
| 028 | 5 | 2 | |a GBVA2017008000016.pica |
| 035 | |a (DE-627)ELV030426006 | ||
| 035 | |a (ELSEVIER)S0277-9536(17)30057-6 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | |a 300 |a 610 | |
| 082 | 0 | 4 | |a 300 |q DE-600 |
| 082 | 0 | 4 | |a 610 |q DE-600 |
| 082 | 0 | 4 | |a 610 |q VZ |
| 084 | |a 44.90 |2 bkl | ||
| 100 | 1 | |a Wemrell, Maria |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Intersectionality and risk for ischemic heart disease in Sweden: Categorical and anti-categorical approaches |
| 264 | 1 | |c 2017transfer abstract | |
| 300 | |a 10 | ||
| 336 | |a nicht spezifiziert |b zzz |2 rdacontent | ||
| 337 | |a nicht spezifiziert |b z |2 rdamedia | ||
| 338 | |a nicht spezifiziert |b zu |2 rdacarrier | ||
| 520 | |a Intersectionality theory can contribute to epidemiology and public health by furthering understanding of power dynamics driving production of health disparities, and increasing knowledge about heterogeneities within, and overlap between, social categories. Drawing on McCall, we relate the first of these potential contributions to categorical intersectionality and the second to anti-categorical intersectionality. Both approaches are used in study of risk of ischemic heart disease (IHD), based on register data on 3.6 million adults residing in Sweden by 2010, followed for three years. Categorical intersectionality is here coupled with between-group differences in average risk calculation, as we use intersectional categorizations while estimating odds ratios through logistic regressions. The anti-categorical approach is operationalized through measurement of discriminatory accuracy (DA), i.e., capacity to accurately categorize individuals with or without a certain outcome, through computation of the area under the curve (AUC). Our results show substantial differences in average risk between intersectional groupings. The DA of social categorizations is found to be low, however, due to outcome variability within and overlap between categories. We argue that measures of DA should be used for proper interpretation of differences in average risk between social (or any other) categories. Tension between average between-group risk and the DA of categorizations, which can be related to categorical and anti-categorical intersectional analyses, should be made explicit and discussed to a larger degree in epidemiology and public health. | ||
| 520 | |a Intersectionality theory can contribute to epidemiology and public health by furthering understanding of power dynamics driving production of health disparities, and increasing knowledge about heterogeneities within, and overlap between, social categories. Drawing on McCall, we relate the first of these potential contributions to categorical intersectionality and the second to anti-categorical intersectionality. Both approaches are used in study of risk of ischemic heart disease (IHD), based on register data on 3.6 million adults residing in Sweden by 2010, followed for three years. Categorical intersectionality is here coupled with between-group differences in average risk calculation, as we use intersectional categorizations while estimating odds ratios through logistic regressions. The anti-categorical approach is operationalized through measurement of discriminatory accuracy (DA), i.e., capacity to accurately categorize individuals with or without a certain outcome, through computation of the area under the curve (AUC). Our results show substantial differences in average risk between intersectional groupings. The DA of social categorizations is found to be low, however, due to outcome variability within and overlap between categories. We argue that measures of DA should be used for proper interpretation of differences in average risk between social (or any other) categories. Tension between average between-group risk and the DA of categorizations, which can be related to categorical and anti-categorical intersectional analyses, should be made explicit and discussed to a larger degree in epidemiology and public health. | ||
| 650 | 7 | |a Sweden |2 Elsevier | |
| 650 | 7 | |a Socioeconomic factors |2 Elsevier | |
| 650 | 7 | |a Anti-Categorical |2 Elsevier | |
| 650 | 7 | |a Health inequalities |2 Elsevier | |
| 650 | 7 | |a Cardiovascular disease |2 Elsevier | |
| 650 | 7 | |a Intersectionality |2 Elsevier | |
| 650 | 7 | |a Categorical |2 Elsevier | |
| 650 | 7 | |a Discriminatory accuracy |2 Elsevier | |
| 700 | 1 | |a Mulinari, Shai |4 oth | |
| 700 | 1 | |a Merlo, Juan |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |n Elsevier Science |a Aomatsu, Naoki ELSEVIER |t Multiple stage IV colorectal cancers in a patient who received multidisciplinary treatment, including chemotherapy and Japanese Kampo medicine: A case report |d 2021 |g Amsterdam [u.a.] |w (DE-627)ELV006279392 |
| 773 | 1 | 8 | |g volume:177 |g year:2017 |g pages:213-222 |g extent:10 |
| 856 | 4 | 0 | |u https://doi.org/10.1016/j.socscimed.2017.01.050 |3 Volltext |
| 912 | |a GBV_USEFLAG_U | ||
| 912 | |a GBV_ELV | ||
| 912 | |a SYSFLAG_U | ||
| 912 | |a SSG-OLC-PHA | ||
| 936 | b | k | |a 44.90 |j Neurologie |q VZ |
| 951 | |a AR | ||
| 952 | |d 177 |j 2017 |h 213-222 |g 10 | ||
| 953 | |2 045F |a 300 | ||
| author_variant |
m w mw |
|---|---|
| matchkey_str |
wemrellmariamulinarishaimerlojuan:2017----:nescinltadikoiceihatiesiseectgrcln |
| hierarchy_sort_str |
2017transfer abstract |
| bklnumber |
44.90 |
| publishDate |
2017 |
| allfields |
10.1016/j.socscimed.2017.01.050 doi GBVA2017008000016.pica (DE-627)ELV030426006 (ELSEVIER)S0277-9536(17)30057-6 DE-627 ger DE-627 rakwb eng 300 610 300 DE-600 610 DE-600 610 VZ 44.90 bkl Wemrell, Maria verfasserin aut Intersectionality and risk for ischemic heart disease in Sweden: Categorical and anti-categorical approaches 2017transfer abstract 10 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Intersectionality theory can contribute to epidemiology and public health by furthering understanding of power dynamics driving production of health disparities, and increasing knowledge about heterogeneities within, and overlap between, social categories. Drawing on McCall, we relate the first of these potential contributions to categorical intersectionality and the second to anti-categorical intersectionality. Both approaches are used in study of risk of ischemic heart disease (IHD), based on register data on 3.6 million adults residing in Sweden by 2010, followed for three years. Categorical intersectionality is here coupled with between-group differences in average risk calculation, as we use intersectional categorizations while estimating odds ratios through logistic regressions. The anti-categorical approach is operationalized through measurement of discriminatory accuracy (DA), i.e., capacity to accurately categorize individuals with or without a certain outcome, through computation of the area under the curve (AUC). Our results show substantial differences in average risk between intersectional groupings. The DA of social categorizations is found to be low, however, due to outcome variability within and overlap between categories. We argue that measures of DA should be used for proper interpretation of differences in average risk between social (or any other) categories. Tension between average between-group risk and the DA of categorizations, which can be related to categorical and anti-categorical intersectional analyses, should be made explicit and discussed to a larger degree in epidemiology and public health. Intersectionality theory can contribute to epidemiology and public health by furthering understanding of power dynamics driving production of health disparities, and increasing knowledge about heterogeneities within, and overlap between, social categories. Drawing on McCall, we relate the first of these potential contributions to categorical intersectionality and the second to anti-categorical intersectionality. Both approaches are used in study of risk of ischemic heart disease (IHD), based on register data on 3.6 million adults residing in Sweden by 2010, followed for three years. Categorical intersectionality is here coupled with between-group differences in average risk calculation, as we use intersectional categorizations while estimating odds ratios through logistic regressions. The anti-categorical approach is operationalized through measurement of discriminatory accuracy (DA), i.e., capacity to accurately categorize individuals with or without a certain outcome, through computation of the area under the curve (AUC). Our results show substantial differences in average risk between intersectional groupings. The DA of social categorizations is found to be low, however, due to outcome variability within and overlap between categories. We argue that measures of DA should be used for proper interpretation of differences in average risk between social (or any other) categories. Tension between average between-group risk and the DA of categorizations, which can be related to categorical and anti-categorical intersectional analyses, should be made explicit and discussed to a larger degree in epidemiology and public health. Sweden Elsevier Socioeconomic factors Elsevier Anti-Categorical Elsevier Health inequalities Elsevier Cardiovascular disease Elsevier Intersectionality Elsevier Categorical Elsevier Discriminatory accuracy Elsevier Mulinari, Shai oth Merlo, Juan oth Enthalten in Elsevier Science Aomatsu, Naoki ELSEVIER Multiple stage IV colorectal cancers in a patient who received multidisciplinary treatment, including chemotherapy and Japanese Kampo medicine: A case report 2021 Amsterdam [u.a.] (DE-627)ELV006279392 volume:177 year:2017 pages:213-222 extent:10 https://doi.org/10.1016/j.socscimed.2017.01.050 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.90 Neurologie VZ AR 177 2017 213-222 10 045F 300 |
| spelling |
10.1016/j.socscimed.2017.01.050 doi GBVA2017008000016.pica (DE-627)ELV030426006 (ELSEVIER)S0277-9536(17)30057-6 DE-627 ger DE-627 rakwb eng 300 610 300 DE-600 610 DE-600 610 VZ 44.90 bkl Wemrell, Maria verfasserin aut Intersectionality and risk for ischemic heart disease in Sweden: Categorical and anti-categorical approaches 2017transfer abstract 10 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Intersectionality theory can contribute to epidemiology and public health by furthering understanding of power dynamics driving production of health disparities, and increasing knowledge about heterogeneities within, and overlap between, social categories. Drawing on McCall, we relate the first of these potential contributions to categorical intersectionality and the second to anti-categorical intersectionality. Both approaches are used in study of risk of ischemic heart disease (IHD), based on register data on 3.6 million adults residing in Sweden by 2010, followed for three years. Categorical intersectionality is here coupled with between-group differences in average risk calculation, as we use intersectional categorizations while estimating odds ratios through logistic regressions. The anti-categorical approach is operationalized through measurement of discriminatory accuracy (DA), i.e., capacity to accurately categorize individuals with or without a certain outcome, through computation of the area under the curve (AUC). Our results show substantial differences in average risk between intersectional groupings. The DA of social categorizations is found to be low, however, due to outcome variability within and overlap between categories. We argue that measures of DA should be used for proper interpretation of differences in average risk between social (or any other) categories. Tension between average between-group risk and the DA of categorizations, which can be related to categorical and anti-categorical intersectional analyses, should be made explicit and discussed to a larger degree in epidemiology and public health. Intersectionality theory can contribute to epidemiology and public health by furthering understanding of power dynamics driving production of health disparities, and increasing knowledge about heterogeneities within, and overlap between, social categories. Drawing on McCall, we relate the first of these potential contributions to categorical intersectionality and the second to anti-categorical intersectionality. Both approaches are used in study of risk of ischemic heart disease (IHD), based on register data on 3.6 million adults residing in Sweden by 2010, followed for three years. Categorical intersectionality is here coupled with between-group differences in average risk calculation, as we use intersectional categorizations while estimating odds ratios through logistic regressions. The anti-categorical approach is operationalized through measurement of discriminatory accuracy (DA), i.e., capacity to accurately categorize individuals with or without a certain outcome, through computation of the area under the curve (AUC). Our results show substantial differences in average risk between intersectional groupings. The DA of social categorizations is found to be low, however, due to outcome variability within and overlap between categories. We argue that measures of DA should be used for proper interpretation of differences in average risk between social (or any other) categories. Tension between average between-group risk and the DA of categorizations, which can be related to categorical and anti-categorical intersectional analyses, should be made explicit and discussed to a larger degree in epidemiology and public health. Sweden Elsevier Socioeconomic factors Elsevier Anti-Categorical Elsevier Health inequalities Elsevier Cardiovascular disease Elsevier Intersectionality Elsevier Categorical Elsevier Discriminatory accuracy Elsevier Mulinari, Shai oth Merlo, Juan oth Enthalten in Elsevier Science Aomatsu, Naoki ELSEVIER Multiple stage IV colorectal cancers in a patient who received multidisciplinary treatment, including chemotherapy and Japanese Kampo medicine: A case report 2021 Amsterdam [u.a.] (DE-627)ELV006279392 volume:177 year:2017 pages:213-222 extent:10 https://doi.org/10.1016/j.socscimed.2017.01.050 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.90 Neurologie VZ AR 177 2017 213-222 10 045F 300 |
| allfields_unstemmed |
10.1016/j.socscimed.2017.01.050 doi GBVA2017008000016.pica (DE-627)ELV030426006 (ELSEVIER)S0277-9536(17)30057-6 DE-627 ger DE-627 rakwb eng 300 610 300 DE-600 610 DE-600 610 VZ 44.90 bkl Wemrell, Maria verfasserin aut Intersectionality and risk for ischemic heart disease in Sweden: Categorical and anti-categorical approaches 2017transfer abstract 10 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Intersectionality theory can contribute to epidemiology and public health by furthering understanding of power dynamics driving production of health disparities, and increasing knowledge about heterogeneities within, and overlap between, social categories. Drawing on McCall, we relate the first of these potential contributions to categorical intersectionality and the second to anti-categorical intersectionality. Both approaches are used in study of risk of ischemic heart disease (IHD), based on register data on 3.6 million adults residing in Sweden by 2010, followed for three years. Categorical intersectionality is here coupled with between-group differences in average risk calculation, as we use intersectional categorizations while estimating odds ratios through logistic regressions. The anti-categorical approach is operationalized through measurement of discriminatory accuracy (DA), i.e., capacity to accurately categorize individuals with or without a certain outcome, through computation of the area under the curve (AUC). Our results show substantial differences in average risk between intersectional groupings. The DA of social categorizations is found to be low, however, due to outcome variability within and overlap between categories. We argue that measures of DA should be used for proper interpretation of differences in average risk between social (or any other) categories. Tension between average between-group risk and the DA of categorizations, which can be related to categorical and anti-categorical intersectional analyses, should be made explicit and discussed to a larger degree in epidemiology and public health. Intersectionality theory can contribute to epidemiology and public health by furthering understanding of power dynamics driving production of health disparities, and increasing knowledge about heterogeneities within, and overlap between, social categories. Drawing on McCall, we relate the first of these potential contributions to categorical intersectionality and the second to anti-categorical intersectionality. Both approaches are used in study of risk of ischemic heart disease (IHD), based on register data on 3.6 million adults residing in Sweden by 2010, followed for three years. Categorical intersectionality is here coupled with between-group differences in average risk calculation, as we use intersectional categorizations while estimating odds ratios through logistic regressions. The anti-categorical approach is operationalized through measurement of discriminatory accuracy (DA), i.e., capacity to accurately categorize individuals with or without a certain outcome, through computation of the area under the curve (AUC). Our results show substantial differences in average risk between intersectional groupings. The DA of social categorizations is found to be low, however, due to outcome variability within and overlap between categories. We argue that measures of DA should be used for proper interpretation of differences in average risk between social (or any other) categories. Tension between average between-group risk and the DA of categorizations, which can be related to categorical and anti-categorical intersectional analyses, should be made explicit and discussed to a larger degree in epidemiology and public health. Sweden Elsevier Socioeconomic factors Elsevier Anti-Categorical Elsevier Health inequalities Elsevier Cardiovascular disease Elsevier Intersectionality Elsevier Categorical Elsevier Discriminatory accuracy Elsevier Mulinari, Shai oth Merlo, Juan oth Enthalten in Elsevier Science Aomatsu, Naoki ELSEVIER Multiple stage IV colorectal cancers in a patient who received multidisciplinary treatment, including chemotherapy and Japanese Kampo medicine: A case report 2021 Amsterdam [u.a.] (DE-627)ELV006279392 volume:177 year:2017 pages:213-222 extent:10 https://doi.org/10.1016/j.socscimed.2017.01.050 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.90 Neurologie VZ AR 177 2017 213-222 10 045F 300 |
| allfieldsGer |
10.1016/j.socscimed.2017.01.050 doi GBVA2017008000016.pica (DE-627)ELV030426006 (ELSEVIER)S0277-9536(17)30057-6 DE-627 ger DE-627 rakwb eng 300 610 300 DE-600 610 DE-600 610 VZ 44.90 bkl Wemrell, Maria verfasserin aut Intersectionality and risk for ischemic heart disease in Sweden: Categorical and anti-categorical approaches 2017transfer abstract 10 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Intersectionality theory can contribute to epidemiology and public health by furthering understanding of power dynamics driving production of health disparities, and increasing knowledge about heterogeneities within, and overlap between, social categories. Drawing on McCall, we relate the first of these potential contributions to categorical intersectionality and the second to anti-categorical intersectionality. Both approaches are used in study of risk of ischemic heart disease (IHD), based on register data on 3.6 million adults residing in Sweden by 2010, followed for three years. Categorical intersectionality is here coupled with between-group differences in average risk calculation, as we use intersectional categorizations while estimating odds ratios through logistic regressions. The anti-categorical approach is operationalized through measurement of discriminatory accuracy (DA), i.e., capacity to accurately categorize individuals with or without a certain outcome, through computation of the area under the curve (AUC). Our results show substantial differences in average risk between intersectional groupings. The DA of social categorizations is found to be low, however, due to outcome variability within and overlap between categories. We argue that measures of DA should be used for proper interpretation of differences in average risk between social (or any other) categories. Tension between average between-group risk and the DA of categorizations, which can be related to categorical and anti-categorical intersectional analyses, should be made explicit and discussed to a larger degree in epidemiology and public health. Intersectionality theory can contribute to epidemiology and public health by furthering understanding of power dynamics driving production of health disparities, and increasing knowledge about heterogeneities within, and overlap between, social categories. Drawing on McCall, we relate the first of these potential contributions to categorical intersectionality and the second to anti-categorical intersectionality. Both approaches are used in study of risk of ischemic heart disease (IHD), based on register data on 3.6 million adults residing in Sweden by 2010, followed for three years. Categorical intersectionality is here coupled with between-group differences in average risk calculation, as we use intersectional categorizations while estimating odds ratios through logistic regressions. The anti-categorical approach is operationalized through measurement of discriminatory accuracy (DA), i.e., capacity to accurately categorize individuals with or without a certain outcome, through computation of the area under the curve (AUC). Our results show substantial differences in average risk between intersectional groupings. The DA of social categorizations is found to be low, however, due to outcome variability within and overlap between categories. We argue that measures of DA should be used for proper interpretation of differences in average risk between social (or any other) categories. Tension between average between-group risk and the DA of categorizations, which can be related to categorical and anti-categorical intersectional analyses, should be made explicit and discussed to a larger degree in epidemiology and public health. Sweden Elsevier Socioeconomic factors Elsevier Anti-Categorical Elsevier Health inequalities Elsevier Cardiovascular disease Elsevier Intersectionality Elsevier Categorical Elsevier Discriminatory accuracy Elsevier Mulinari, Shai oth Merlo, Juan oth Enthalten in Elsevier Science Aomatsu, Naoki ELSEVIER Multiple stage IV colorectal cancers in a patient who received multidisciplinary treatment, including chemotherapy and Japanese Kampo medicine: A case report 2021 Amsterdam [u.a.] (DE-627)ELV006279392 volume:177 year:2017 pages:213-222 extent:10 https://doi.org/10.1016/j.socscimed.2017.01.050 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.90 Neurologie VZ AR 177 2017 213-222 10 045F 300 |
| allfieldsSound |
10.1016/j.socscimed.2017.01.050 doi GBVA2017008000016.pica (DE-627)ELV030426006 (ELSEVIER)S0277-9536(17)30057-6 DE-627 ger DE-627 rakwb eng 300 610 300 DE-600 610 DE-600 610 VZ 44.90 bkl Wemrell, Maria verfasserin aut Intersectionality and risk for ischemic heart disease in Sweden: Categorical and anti-categorical approaches 2017transfer abstract 10 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Intersectionality theory can contribute to epidemiology and public health by furthering understanding of power dynamics driving production of health disparities, and increasing knowledge about heterogeneities within, and overlap between, social categories. Drawing on McCall, we relate the first of these potential contributions to categorical intersectionality and the second to anti-categorical intersectionality. Both approaches are used in study of risk of ischemic heart disease (IHD), based on register data on 3.6 million adults residing in Sweden by 2010, followed for three years. Categorical intersectionality is here coupled with between-group differences in average risk calculation, as we use intersectional categorizations while estimating odds ratios through logistic regressions. The anti-categorical approach is operationalized through measurement of discriminatory accuracy (DA), i.e., capacity to accurately categorize individuals with or without a certain outcome, through computation of the area under the curve (AUC). Our results show substantial differences in average risk between intersectional groupings. The DA of social categorizations is found to be low, however, due to outcome variability within and overlap between categories. We argue that measures of DA should be used for proper interpretation of differences in average risk between social (or any other) categories. Tension between average between-group risk and the DA of categorizations, which can be related to categorical and anti-categorical intersectional analyses, should be made explicit and discussed to a larger degree in epidemiology and public health. Intersectionality theory can contribute to epidemiology and public health by furthering understanding of power dynamics driving production of health disparities, and increasing knowledge about heterogeneities within, and overlap between, social categories. Drawing on McCall, we relate the first of these potential contributions to categorical intersectionality and the second to anti-categorical intersectionality. Both approaches are used in study of risk of ischemic heart disease (IHD), based on register data on 3.6 million adults residing in Sweden by 2010, followed for three years. Categorical intersectionality is here coupled with between-group differences in average risk calculation, as we use intersectional categorizations while estimating odds ratios through logistic regressions. The anti-categorical approach is operationalized through measurement of discriminatory accuracy (DA), i.e., capacity to accurately categorize individuals with or without a certain outcome, through computation of the area under the curve (AUC). Our results show substantial differences in average risk between intersectional groupings. The DA of social categorizations is found to be low, however, due to outcome variability within and overlap between categories. We argue that measures of DA should be used for proper interpretation of differences in average risk between social (or any other) categories. Tension between average between-group risk and the DA of categorizations, which can be related to categorical and anti-categorical intersectional analyses, should be made explicit and discussed to a larger degree in epidemiology and public health. Sweden Elsevier Socioeconomic factors Elsevier Anti-Categorical Elsevier Health inequalities Elsevier Cardiovascular disease Elsevier Intersectionality Elsevier Categorical Elsevier Discriminatory accuracy Elsevier Mulinari, Shai oth Merlo, Juan oth Enthalten in Elsevier Science Aomatsu, Naoki ELSEVIER Multiple stage IV colorectal cancers in a patient who received multidisciplinary treatment, including chemotherapy and Japanese Kampo medicine: A case report 2021 Amsterdam [u.a.] (DE-627)ELV006279392 volume:177 year:2017 pages:213-222 extent:10 https://doi.org/10.1016/j.socscimed.2017.01.050 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.90 Neurologie VZ AR 177 2017 213-222 10 045F 300 |
| language |
English |
| source |
Enthalten in Multiple stage IV colorectal cancers in a patient who received multidisciplinary treatment, including chemotherapy and Japanese Kampo medicine: A case report Amsterdam [u.a.] volume:177 year:2017 pages:213-222 extent:10 |
| sourceStr |
Enthalten in Multiple stage IV colorectal cancers in a patient who received multidisciplinary treatment, including chemotherapy and Japanese Kampo medicine: A case report Amsterdam [u.a.] volume:177 year:2017 pages:213-222 extent:10 |
| format_phy_str_mv |
Article |
| bklname |
Neurologie |
| institution |
findex.gbv.de |
| topic_facet |
Sweden Socioeconomic factors Anti-Categorical Health inequalities Cardiovascular disease Intersectionality Categorical Discriminatory accuracy |
| dewey-raw |
300 |
| isfreeaccess_bool |
false |
| container_title |
Multiple stage IV colorectal cancers in a patient who received multidisciplinary treatment, including chemotherapy and Japanese Kampo medicine: A case report |
| authorswithroles_txt_mv |
Wemrell, Maria @@aut@@ Mulinari, Shai @@oth@@ Merlo, Juan @@oth@@ |
| publishDateDaySort_date |
2017-01-01T00:00:00Z |
| hierarchy_top_id |
ELV006279392 |
| dewey-sort |
3300 |
| id |
ELV030426006 |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV030426006</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230625181631.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">180603s2017 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.socscimed.2017.01.050</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">GBVA2017008000016.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV030426006</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0277-9536(17)30057-6</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">300</subfield><subfield code="a">610</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">300</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.90</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Wemrell, Maria</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Intersectionality and risk for ischemic heart disease in Sweden: Categorical and anti-categorical approaches</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2017transfer abstract</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">10</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Intersectionality theory can contribute to epidemiology and public health by furthering understanding of power dynamics driving production of health disparities, and increasing knowledge about heterogeneities within, and overlap between, social categories. Drawing on McCall, we relate the first of these potential contributions to categorical intersectionality and the second to anti-categorical intersectionality. Both approaches are used in study of risk of ischemic heart disease (IHD), based on register data on 3.6 million adults residing in Sweden by 2010, followed for three years. Categorical intersectionality is here coupled with between-group differences in average risk calculation, as we use intersectional categorizations while estimating odds ratios through logistic regressions. The anti-categorical approach is operationalized through measurement of discriminatory accuracy (DA), i.e., capacity to accurately categorize individuals with or without a certain outcome, through computation of the area under the curve (AUC). Our results show substantial differences in average risk between intersectional groupings. The DA of social categorizations is found to be low, however, due to outcome variability within and overlap between categories. We argue that measures of DA should be used for proper interpretation of differences in average risk between social (or any other) categories. Tension between average between-group risk and the DA of categorizations, which can be related to categorical and anti-categorical intersectional analyses, should be made explicit and discussed to a larger degree in epidemiology and public health.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Intersectionality theory can contribute to epidemiology and public health by furthering understanding of power dynamics driving production of health disparities, and increasing knowledge about heterogeneities within, and overlap between, social categories. Drawing on McCall, we relate the first of these potential contributions to categorical intersectionality and the second to anti-categorical intersectionality. Both approaches are used in study of risk of ischemic heart disease (IHD), based on register data on 3.6 million adults residing in Sweden by 2010, followed for three years. Categorical intersectionality is here coupled with between-group differences in average risk calculation, as we use intersectional categorizations while estimating odds ratios through logistic regressions. The anti-categorical approach is operationalized through measurement of discriminatory accuracy (DA), i.e., capacity to accurately categorize individuals with or without a certain outcome, through computation of the area under the curve (AUC). Our results show substantial differences in average risk between intersectional groupings. The DA of social categorizations is found to be low, however, due to outcome variability within and overlap between categories. We argue that measures of DA should be used for proper interpretation of differences in average risk between social (or any other) categories. Tension between average between-group risk and the DA of categorizations, which can be related to categorical and anti-categorical intersectional analyses, should be made explicit and discussed to a larger degree in epidemiology and public health.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Sweden</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Socioeconomic factors</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Anti-Categorical</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Health inequalities</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Cardiovascular disease</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Intersectionality</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Categorical</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Discriminatory accuracy</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Mulinari, Shai</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Merlo, Juan</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier Science</subfield><subfield code="a">Aomatsu, Naoki ELSEVIER</subfield><subfield code="t">Multiple stage IV colorectal cancers in a patient who received multidisciplinary treatment, including chemotherapy and Japanese Kampo medicine: A case report</subfield><subfield code="d">2021</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV006279392</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:177</subfield><subfield code="g">year:2017</subfield><subfield code="g">pages:213-222</subfield><subfield code="g">extent:10</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.socscimed.2017.01.050</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">44.90</subfield><subfield code="j">Neurologie</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">177</subfield><subfield code="j">2017</subfield><subfield code="h">213-222</subfield><subfield code="g">10</subfield></datafield><datafield tag="953" ind1=" " ind2=" "><subfield code="2">045F</subfield><subfield code="a">300</subfield></datafield></record></collection>
|
| author |
Wemrell, Maria |
| spellingShingle |
Wemrell, Maria ddc 300 ddc 610 bkl 44.90 Elsevier Sweden Elsevier Socioeconomic factors Elsevier Anti-Categorical Elsevier Health inequalities Elsevier Cardiovascular disease Elsevier Intersectionality Elsevier Categorical Elsevier Discriminatory accuracy Intersectionality and risk for ischemic heart disease in Sweden: Categorical and anti-categorical approaches |
| authorStr |
Wemrell, Maria |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)ELV006279392 |
| format |
electronic Article |
| dewey-ones |
300 - Social sciences 610 - Medicine & health |
| delete_txt_mv |
keep |
| author_role |
aut |
| collection |
elsevier |
| remote_str |
true |
| illustrated |
Not Illustrated |
| topic_title |
300 610 300 DE-600 610 DE-600 610 VZ 44.90 bkl Intersectionality and risk for ischemic heart disease in Sweden: Categorical and anti-categorical approaches Sweden Elsevier Socioeconomic factors Elsevier Anti-Categorical Elsevier Health inequalities Elsevier Cardiovascular disease Elsevier Intersectionality Elsevier Categorical Elsevier Discriminatory accuracy Elsevier |
| topic |
ddc 300 ddc 610 bkl 44.90 Elsevier Sweden Elsevier Socioeconomic factors Elsevier Anti-Categorical Elsevier Health inequalities Elsevier Cardiovascular disease Elsevier Intersectionality Elsevier Categorical Elsevier Discriminatory accuracy |
| topic_unstemmed |
ddc 300 ddc 610 bkl 44.90 Elsevier Sweden Elsevier Socioeconomic factors Elsevier Anti-Categorical Elsevier Health inequalities Elsevier Cardiovascular disease Elsevier Intersectionality Elsevier Categorical Elsevier Discriminatory accuracy |
| topic_browse |
ddc 300 ddc 610 bkl 44.90 Elsevier Sweden Elsevier Socioeconomic factors Elsevier Anti-Categorical Elsevier Health inequalities Elsevier Cardiovascular disease Elsevier Intersectionality Elsevier Categorical Elsevier Discriminatory accuracy |
| format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
zu |
| author2_variant |
s m sm j m jm |
| hierarchy_parent_title |
Multiple stage IV colorectal cancers in a patient who received multidisciplinary treatment, including chemotherapy and Japanese Kampo medicine: A case report |
| hierarchy_parent_id |
ELV006279392 |
| dewey-tens |
300 - Social sciences, sociology & anthropology 610 - Medicine & health |
| hierarchy_top_title |
Multiple stage IV colorectal cancers in a patient who received multidisciplinary treatment, including chemotherapy and Japanese Kampo medicine: A case report |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)ELV006279392 |
| title |
Intersectionality and risk for ischemic heart disease in Sweden: Categorical and anti-categorical approaches |
| ctrlnum |
(DE-627)ELV030426006 (ELSEVIER)S0277-9536(17)30057-6 |
| title_full |
Intersectionality and risk for ischemic heart disease in Sweden: Categorical and anti-categorical approaches |
| author_sort |
Wemrell, Maria |
| journal |
Multiple stage IV colorectal cancers in a patient who received multidisciplinary treatment, including chemotherapy and Japanese Kampo medicine: A case report |
| journalStr |
Multiple stage IV colorectal cancers in a patient who received multidisciplinary treatment, including chemotherapy and Japanese Kampo medicine: A case report |
| lang_code |
eng |
| isOA_bool |
false |
| dewey-hundreds |
300 - Social sciences 600 - Technology |
| recordtype |
marc |
| publishDateSort |
2017 |
| contenttype_str_mv |
zzz |
| container_start_page |
213 |
| author_browse |
Wemrell, Maria |
| container_volume |
177 |
| physical |
10 |
| class |
300 610 300 DE-600 610 DE-600 610 VZ 44.90 bkl |
| format_se |
Elektronische Aufsätze |
| author-letter |
Wemrell, Maria |
| doi_str_mv |
10.1016/j.socscimed.2017.01.050 |
| dewey-full |
300 610 |
| title_sort |
intersectionality and risk for ischemic heart disease in sweden: categorical and anti-categorical approaches |
| title_auth |
Intersectionality and risk for ischemic heart disease in Sweden: Categorical and anti-categorical approaches |
| abstract |
Intersectionality theory can contribute to epidemiology and public health by furthering understanding of power dynamics driving production of health disparities, and increasing knowledge about heterogeneities within, and overlap between, social categories. Drawing on McCall, we relate the first of these potential contributions to categorical intersectionality and the second to anti-categorical intersectionality. Both approaches are used in study of risk of ischemic heart disease (IHD), based on register data on 3.6 million adults residing in Sweden by 2010, followed for three years. Categorical intersectionality is here coupled with between-group differences in average risk calculation, as we use intersectional categorizations while estimating odds ratios through logistic regressions. The anti-categorical approach is operationalized through measurement of discriminatory accuracy (DA), i.e., capacity to accurately categorize individuals with or without a certain outcome, through computation of the area under the curve (AUC). Our results show substantial differences in average risk between intersectional groupings. The DA of social categorizations is found to be low, however, due to outcome variability within and overlap between categories. We argue that measures of DA should be used for proper interpretation of differences in average risk between social (or any other) categories. Tension between average between-group risk and the DA of categorizations, which can be related to categorical and anti-categorical intersectional analyses, should be made explicit and discussed to a larger degree in epidemiology and public health. |
| abstractGer |
Intersectionality theory can contribute to epidemiology and public health by furthering understanding of power dynamics driving production of health disparities, and increasing knowledge about heterogeneities within, and overlap between, social categories. Drawing on McCall, we relate the first of these potential contributions to categorical intersectionality and the second to anti-categorical intersectionality. Both approaches are used in study of risk of ischemic heart disease (IHD), based on register data on 3.6 million adults residing in Sweden by 2010, followed for three years. Categorical intersectionality is here coupled with between-group differences in average risk calculation, as we use intersectional categorizations while estimating odds ratios through logistic regressions. The anti-categorical approach is operationalized through measurement of discriminatory accuracy (DA), i.e., capacity to accurately categorize individuals with or without a certain outcome, through computation of the area under the curve (AUC). Our results show substantial differences in average risk between intersectional groupings. The DA of social categorizations is found to be low, however, due to outcome variability within and overlap between categories. We argue that measures of DA should be used for proper interpretation of differences in average risk between social (or any other) categories. Tension between average between-group risk and the DA of categorizations, which can be related to categorical and anti-categorical intersectional analyses, should be made explicit and discussed to a larger degree in epidemiology and public health. |
| abstract_unstemmed |
Intersectionality theory can contribute to epidemiology and public health by furthering understanding of power dynamics driving production of health disparities, and increasing knowledge about heterogeneities within, and overlap between, social categories. Drawing on McCall, we relate the first of these potential contributions to categorical intersectionality and the second to anti-categorical intersectionality. Both approaches are used in study of risk of ischemic heart disease (IHD), based on register data on 3.6 million adults residing in Sweden by 2010, followed for three years. Categorical intersectionality is here coupled with between-group differences in average risk calculation, as we use intersectional categorizations while estimating odds ratios through logistic regressions. The anti-categorical approach is operationalized through measurement of discriminatory accuracy (DA), i.e., capacity to accurately categorize individuals with or without a certain outcome, through computation of the area under the curve (AUC). Our results show substantial differences in average risk between intersectional groupings. The DA of social categorizations is found to be low, however, due to outcome variability within and overlap between categories. We argue that measures of DA should be used for proper interpretation of differences in average risk between social (or any other) categories. Tension between average between-group risk and the DA of categorizations, which can be related to categorical and anti-categorical intersectional analyses, should be made explicit and discussed to a larger degree in epidemiology and public health. |
| collection_details |
GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA |
| title_short |
Intersectionality and risk for ischemic heart disease in Sweden: Categorical and anti-categorical approaches |
| url |
https://doi.org/10.1016/j.socscimed.2017.01.050 |
| remote_bool |
true |
| author2 |
Mulinari, Shai Merlo, Juan |
| author2Str |
Mulinari, Shai Merlo, Juan |
| ppnlink |
ELV006279392 |
| mediatype_str_mv |
z |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| author2_role |
oth oth |
| doi_str |
10.1016/j.socscimed.2017.01.050 |
| up_date |
2024-07-06T17:32:38.794Z |
| _version_ |
1803851827821674496 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV030426006</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230625181631.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">180603s2017 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.socscimed.2017.01.050</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">GBVA2017008000016.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV030426006</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0277-9536(17)30057-6</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">300</subfield><subfield code="a">610</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">300</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.90</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Wemrell, Maria</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Intersectionality and risk for ischemic heart disease in Sweden: Categorical and anti-categorical approaches</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2017transfer abstract</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">10</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Intersectionality theory can contribute to epidemiology and public health by furthering understanding of power dynamics driving production of health disparities, and increasing knowledge about heterogeneities within, and overlap between, social categories. Drawing on McCall, we relate the first of these potential contributions to categorical intersectionality and the second to anti-categorical intersectionality. Both approaches are used in study of risk of ischemic heart disease (IHD), based on register data on 3.6 million adults residing in Sweden by 2010, followed for three years. Categorical intersectionality is here coupled with between-group differences in average risk calculation, as we use intersectional categorizations while estimating odds ratios through logistic regressions. The anti-categorical approach is operationalized through measurement of discriminatory accuracy (DA), i.e., capacity to accurately categorize individuals with or without a certain outcome, through computation of the area under the curve (AUC). Our results show substantial differences in average risk between intersectional groupings. The DA of social categorizations is found to be low, however, due to outcome variability within and overlap between categories. We argue that measures of DA should be used for proper interpretation of differences in average risk between social (or any other) categories. Tension between average between-group risk and the DA of categorizations, which can be related to categorical and anti-categorical intersectional analyses, should be made explicit and discussed to a larger degree in epidemiology and public health.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Intersectionality theory can contribute to epidemiology and public health by furthering understanding of power dynamics driving production of health disparities, and increasing knowledge about heterogeneities within, and overlap between, social categories. Drawing on McCall, we relate the first of these potential contributions to categorical intersectionality and the second to anti-categorical intersectionality. Both approaches are used in study of risk of ischemic heart disease (IHD), based on register data on 3.6 million adults residing in Sweden by 2010, followed for three years. Categorical intersectionality is here coupled with between-group differences in average risk calculation, as we use intersectional categorizations while estimating odds ratios through logistic regressions. The anti-categorical approach is operationalized through measurement of discriminatory accuracy (DA), i.e., capacity to accurately categorize individuals with or without a certain outcome, through computation of the area under the curve (AUC). Our results show substantial differences in average risk between intersectional groupings. The DA of social categorizations is found to be low, however, due to outcome variability within and overlap between categories. We argue that measures of DA should be used for proper interpretation of differences in average risk between social (or any other) categories. Tension between average between-group risk and the DA of categorizations, which can be related to categorical and anti-categorical intersectional analyses, should be made explicit and discussed to a larger degree in epidemiology and public health.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Sweden</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Socioeconomic factors</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Anti-Categorical</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Health inequalities</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Cardiovascular disease</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Intersectionality</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Categorical</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Discriminatory accuracy</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Mulinari, Shai</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Merlo, Juan</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier Science</subfield><subfield code="a">Aomatsu, Naoki ELSEVIER</subfield><subfield code="t">Multiple stage IV colorectal cancers in a patient who received multidisciplinary treatment, including chemotherapy and Japanese Kampo medicine: A case report</subfield><subfield code="d">2021</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV006279392</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:177</subfield><subfield code="g">year:2017</subfield><subfield code="g">pages:213-222</subfield><subfield code="g">extent:10</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.socscimed.2017.01.050</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">44.90</subfield><subfield code="j">Neurologie</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">177</subfield><subfield code="j">2017</subfield><subfield code="h">213-222</subfield><subfield code="g">10</subfield></datafield><datafield tag="953" ind1=" " ind2=" "><subfield code="2">045F</subfield><subfield code="a">300</subfield></datafield></record></collection>
|
| score |
7.4014044 |