TY - JOUR
T1 - The impact of neighborhood socioeconomic disparities on injury
AU - Israeli Trauma Group (ITG)
AU - Goldman, Sharon
AU - Radomislensky, Irina
AU - Ziv, Arnona
AU - Abbod, N.
AU - Bahouth, H.
AU - Bala, M.
AU - Becker, A.
AU - Ben eli, M.
AU - Braslavsky, A.
AU - Grevtsev, I.
AU - Jeroukhimov, I.
AU - Karawani, M.
AU - Kessel, B.
AU - Klein, Y.
AU - Lin, G.
AU - Merin, O.
AU - Mnouskin, Y.
AU - Rivkind, A.
AU - Shaked, G.
AU - Soffer, D.
AU - Stein, M.
AU - Weiss, M.
AU - Paran, H.
AU - Peleg, Kobi
N1 - Publisher Copyright:
© 2018, Swiss School of Public Health (SSPH+).
PY - 2018/9/1
Y1 - 2018/9/1
N2 - Objectives: To examine the relationship between neighborhood socioeconomic level (NSEL) and injury-related hospitalization. Methods: The National Trauma Registry (INTR) and the National Population Census (NPC), including NSEL, were linked by individual identity number. Age-adjusted logistic regression predicted injury hospitalization. Mantel–Haenszel X2 was used for linear trends. NSEL was divided into 20 clusters. Results: The population comprised 7,412,592 residents, of which 125,829 (1.7%) were hospitalized due to injury. The injury hospitalization rate was at least 42 per 10,000 per year. Except for the very low SEL, an inverse relationship between NSEL and all-cause injury was found: 46.1/10,000 in cluster 3 compared to 22.9/10,000 in cluster 20. Hip fracture-related hospitalizations among ages 65 + decreased as SEL increased (2.19% o in cluster 2 compared to 0.95% in cluster 19). In comparison with Jews, non-Jews were 1.5 times more likely to have an injury-related hospitalization [OR 1.5 (95% CI 1.50–1.55)]. Conclusions: The INTR and the NPC were successfully linked providing individual and injury hospitalization data. The outcomes confirm the strong relationship between injury mechanism and NSEL.
AB - Objectives: To examine the relationship between neighborhood socioeconomic level (NSEL) and injury-related hospitalization. Methods: The National Trauma Registry (INTR) and the National Population Census (NPC), including NSEL, were linked by individual identity number. Age-adjusted logistic regression predicted injury hospitalization. Mantel–Haenszel X2 was used for linear trends. NSEL was divided into 20 clusters. Results: The population comprised 7,412,592 residents, of which 125,829 (1.7%) were hospitalized due to injury. The injury hospitalization rate was at least 42 per 10,000 per year. Except for the very low SEL, an inverse relationship between NSEL and all-cause injury was found: 46.1/10,000 in cluster 3 compared to 22.9/10,000 in cluster 20. Hip fracture-related hospitalizations among ages 65 + decreased as SEL increased (2.19% o in cluster 2 compared to 0.95% in cluster 19). In comparison with Jews, non-Jews were 1.5 times more likely to have an injury-related hospitalization [OR 1.5 (95% CI 1.50–1.55)]. Conclusions: The INTR and the NPC were successfully linked providing individual and injury hospitalization data. The outcomes confirm the strong relationship between injury mechanism and NSEL.
KW - Injury
KW - National population census
KW - Neighborhood statistical area
KW - Socioeconomic position
KW - Trauma registry
UR - http://www.scopus.com/inward/record.url?scp=85049591005&partnerID=8YFLogxK
U2 - 10.1007/s00038-018-1119-1
DO - 10.1007/s00038-018-1119-1
M3 - Article
C2 - 29968075
AN - SCOPUS:85049591005
SN - 1661-8556
VL - 63
SP - 855
EP - 863
JO - International Journal of Public Health
JF - International Journal of Public Health
IS - 7
ER -
