Literature DB >> 11582612

Injury risks and socioeconomic groups in different settings. Differences in morbidity between men and between women at working ages.

L Laflamme1, E Eilert-Petersson.   

Abstract

BACKGROUND: It is unclear whether greater injury risk in lower socioeconomic groups at working ages is attributable to differences in work conditions or a reflection of a wider overall pattern of risk. The current study investigates socioeconomic differences in non-fatal injury risks in a variety of settings.
METHODS: Data were taken from a community-based injury register built up over one year (November 1989 to October 1990) in a semi-urban Swedish municipality (256,510 inhabitants), and then linked by record to Sweden's National Population Register (based on the census of 1990). Injuries among the age group 20-64 were considered. Age-standardized odds ratios were computed by gender for five injury settings and four socioeconomic groups, using salaried employees as the reference group.
RESULTS: Compared with salaried employees, male manual workers and from the unspecified population (long-term unemployed, students, etc.) show an excess risk of injury in all settings except sports. Males from all socioeconomic groups show significantly higher morbidity in production/education areas. Female manual workers show significantly higher morbidity in home settings and in production/education; those from the unspecified population, in home settings, transport areas, and 'other areas'.
CONCLUSION: Higher morbidity in lower socioeconomic groups results not only from work-related differences, where 25% of the injuries analysed were incurred, but also from the differential impacts of other living environments, e.g. home and transport areas. Differences between socioeconomic groups in care seeking, injury lethality, injury susceptibility, and risk exposure may influence the social patterning of injury morbidity.

Entities:  

Mesh:

Year:  2001        PMID: 11582612     DOI: 10.1093/eurpub/11.3.309

Source DB:  PubMed          Journal:  Eur J Public Health        ISSN: 1101-1262            Impact factor:   3.367


  11 in total

1.  Role of individual and contextual effects in injury mortality: new evidence from small area analysis.

Authors:  C Borrell; M Rodríguez; J Ferrando; M T Brugal; M I Pasarín; V Martínez; A Plaséncia
Journal:  Inj Prev       Date:  2002-12       Impact factor: 2.399

2.  Hospital injury rates in relation to socioeconomic status and working conditions.

Authors:  A d'Errico; L Punnett; M Cifuentes; J Boyer; J Tessler; R Gore; P Scollin; C Slatin
Journal:  Occup Environ Med       Date:  2006-12-20       Impact factor: 4.402

3.  [Polytrauma and air rescue. A retrospective analysis of trauma care in eastern Austria exemplified by an urban trauma center].

Authors:  P Weninger; H Trimmel; T Nau; S Aldrian; F König; V Vécsei
Journal:  Unfallchirurg       Date:  2005-07       Impact factor: 1.000

4.  Socioeconomic differences in injury risks in childhood and adolescence: a nation-wide study of intentional and unintentional injuries in Sweden.

Authors:  K Engström; F Diderichsen; L Laflamme
Journal:  Inj Prev       Date:  2002-06       Impact factor: 2.399

5.  Socioeconomic inequalities and occupational injury disability in china: a population-based survey.

Authors:  Haochen Wang; Gong Chen; Zhenjie Wang; Xiaoying Zheng
Journal:  Int J Environ Res Public Health       Date:  2015-05-28       Impact factor: 3.390

6.  Factors associated with fatal occupational accidents among Mexican workers: a national analysis.

Authors:  Mery Gonzalez-Delgado; Héctor Gómez-Dantés; Julián Alfredo Fernández-Niño; Eduardo Robles; Víctor H Borja; Miriam Aguilar
Journal:  PLoS One       Date:  2015-03-19       Impact factor: 3.240

7.  Occupational class differences in diagnostic-specific sickness absence: a register-based study in the Finnish population, 2005-2014.

Authors:  Johanna Pekkala; Jenni Blomgren; Olli Pietiläinen; Eero Lahelma; Ossi Rahkonen
Journal:  BMC Public Health       Date:  2017-08-22       Impact factor: 3.295

8.  What explains gender inequality in HIV infection among high-risk people? A Blinder-Oaxaca decomposition.

Authors:  Mansour Sajadipour; Satar Rezaei; Seyed Fahim Irandoost; Mohammadreza Ghaumzadeh; Mohamadreza Salmani Nadushan; Mohammad Gholami; Yahya Salimi; Zahra Jorjoran Shushtari
Journal:  Arch Public Health       Date:  2022-01-04

9.  [Characteristics of work-related injuries and the fate of the victims: about 133 cases reported to the Social Security Fund in Dakar, Senegal].

Authors:  Sidy Akhmed Dia; Azhar Salim Mohamed; Fatou Sy Gaye; El Hadj Oumar Ndoye; Mame Coumba Gaye Fall; Mouhamed Nanibolio Soumah; Mor Ndiaye
Journal:  Pan Afr Med J       Date:  2018-06-21

10.  Work Schedule Irregularity and the Risk of Work-Related Injury among Korean Manual Workers.

Authors:  Won-Tae Lee; Sung-Shil Lim; Jihyun Kim; Sehyun Yun; Jin-Ha Yoon; Jong-Uk Won
Journal:  Int J Environ Res Public Health       Date:  2020-10-19       Impact factor: 3.390

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