Literature DB >> 8795606

Multiple sclerosis in Australia: socioeconomic factors.

S R Hammond1, J G McLeod, P Macaskill, D R English.   

Abstract

The data from an epidemiological study on multiple sclerosis in Australia have been analysed to determine the relation between the prevalence of the disease and educational level, and the association between level of disability and employment status. There was a significantly higher frequency of multiple sclerosis in those who left school at an older age and achieved a higher educational level. The explanation of this finding remains speculative and may be related to genetic or environmental factors. The study confirmed the recognised association between moderate-severe disability and divorce-separation and lower rates of employment.

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Year:  1996        PMID: 8795606      PMCID: PMC486558          DOI: 10.1136/jnnp.61.3.311

Source DB:  PubMed          Journal:  J Neurol Neurosurg Psychiatry        ISSN: 0022-3050            Impact factor:   10.154


  14 in total

1.  MULTIPLE SCLEROSIS AND POLIOMYELITIS.

Authors:  D C POSKANZER; K SCHAPIRA; H MILLER
Journal:  Lancet       Date:  1963-11-02       Impact factor: 79.321

2.  EPIDEMIOLOGIC STUDY OF MULTIPLE SCLEROSIS IN ISRAEL. I. AN OVERALL REVIEW OF METHODS AND FINDINGS.

Authors:  A ANTONOVSKY; U LEIBOWITZ; H A SMITH; J M MEDALIE; M BALOGH; R KATS; L HALPERN; M ALTER
Journal:  Arch Neurol       Date:  1965-08

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Authors:  H MILLER; A RIDLEY; K SCHAPIRA
Journal:  Br Med J       Date:  1960-07-30

4.  Binomial regression in GLIM: estimating risk ratios and risk differences.

Authors:  S Wacholder
Journal:  Am J Epidemiol       Date:  1986-01       Impact factor: 4.897

5.  Epidemiology of multiple sclerosis in the north-east (Grampian region) of Scotland--an update.

Authors:  J G Phadke; A W Downie
Journal:  J Epidemiol Community Health       Date:  1987-03       Impact factor: 3.710

6.  Multiple sclerosis: occupation and social group at onset.

Authors:  W R Russell
Journal:  Lancet       Date:  1971-10-16       Impact factor: 79.321

7.  Epidemiology of multiple sclerosis in Australia. With NSW and SA survey results.

Authors:  J G McLeod; S R Hammond; J F Hallpike
Journal:  Med J Aust       Date:  1994-02-07       Impact factor: 7.738

8.  Two populations with multiple sclerosis. Clinical and demographic characteristics.

Authors:  B R Visscher; V A Clark; R Detels; R M Malmgren; N L Valdiviezo; J P Dudley
Journal:  J Neurol       Date:  1981       Impact factor: 4.849

9.  Epidemiological investigations into multiple sclerosis in Southern Hesse. III. The possible influence of occupation on the risk of disease.

Authors:  K Lauer; W Firnhaber
Journal:  Acta Neurol Scand       Date:  1985-10       Impact factor: 3.209

10.  Social handicaps of multiple sclerosis and their relation to neurological alterations.

Authors:  J Cervera-Deval; M P Morant-Guillen; P Fenollosa-Vasquez; M Serra-Escorihuela; J Vilchez-Padilla; J Burguera
Journal:  Arch Phys Med Rehabil       Date:  1994-11       Impact factor: 3.966

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  16 in total

Review 1.  Measures of physical and cognitive function and work status among individuals with multiple sclerosis: a review of the literature.

Authors:  Lisa A Pompeii; Samuel D Moon; Douglas C McCrory
Journal:  J Occup Rehabil       Date:  2005-03

2.  The impact of the financial costs of multiple sclerosis on quality of life.

Authors:  Margaret A De Judicibus; Marita P McCabe
Journal:  Int J Behav Med       Date:  2007

3.  Workers with disability: the case of multiple sclerosis.

Authors:  Michela Ponzio; Giampaolo Brichetto; Paola Zaratin; Mario Alberto Battaglia
Journal:  Neurol Sci       Date:  2015-05-28       Impact factor: 3.307

4.  Magnetisation transfer ratio analysis of normal appearing white matter in patients with familial and sporadic multiple sclerosis.

Authors:  M Siger-Zajdel; K Selmaj
Journal:  J Neurol Neurosurg Psychiatry       Date:  2001-12       Impact factor: 10.154

5.  Factors influencing work retention for people with multiple sclerosis: cross-sectional studies using qualitative and quantitative methods.

Authors:  Rory J O'Connor; Stefan J Cano; Lluis Ramió i Torrentà; Alan J Thompson; E Diane Playford
Journal:  J Neurol       Date:  2005-05-20       Impact factor: 4.849

Review 6.  Does pain in individuals with multiple sclerosis affect employment? A systematic review and meta-analysis.

Authors:  Shahnaz Shahrbanian; Mohammad Auais; Pierre Duquette; Katie Andersen; Katie Anderson; Nancy E Mayo
Journal:  Pain Res Manag       Date:  2013 Sep-Oct       Impact factor: 3.037

7.  Living with multiple sclerosis: longitudinal changes in employment and the importance of symptom management.

Authors:  Rex D Simmons; Kate L Tribe; Elizabeth A McDonald
Journal:  J Neurol       Date:  2010-01-19       Impact factor: 4.849

8.  Employment in multiple sclerosis. Exiting and re-entering the work force.

Authors:  Laura J Julian; Lea Vella; Tim Vollmer; Olympia Hadjimichael; David C Mohr
Journal:  J Neurol       Date:  2008-07-17       Impact factor: 4.849

Review 9.  Neuropsychological aspects of multiple sclerosis.

Authors:  J C Brassington; N V Marsh
Journal:  Neuropsychol Rev       Date:  1998-06       Impact factor: 7.444

10.  Factors that influence the employment status of people with multiple sclerosis: a multi-national study.

Authors:  M Messmer Uccelli; C Specchia; M A Battaglia; D M Miller
Journal:  J Neurol       Date:  2009-12       Impact factor: 4.849

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