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11.
  • Eriksson, Mats Anders, et al. (författare)
  • Rare copy number variants are common in young children with autism spectrum disorder
  • 2015
  • Ingår i: Acta Paediatrica. - : Wiley. - 0803-5253 .- 1651-2227. ; 104:6, s. 610-618
  • Tidskriftsartikel (refereegranskat)abstract
    • AimSeveral studies have suggested that rare copy number variants (CNVs) are an important genetic contributor to autism spectrum disorders. The aims of the study were to use chromosomal microarray to investigate the presence of rare copy number variants in a population-based cohort of well-characterised young children with autism spectrum disorders and to relate the genetic results to neurodevelopmental profiles and medical conditions. MethodsWe performed chromosomal microarray on samples from 162 children who had been referred to the Stockholm Autism Centre for Young Children in Sweden after being diagnosed with autism spectrum disorder between 20 and 54months of age. ResultsPathogenic aberrations were detected in 8.6% of the children and variants of uncertain significance were present in another 8.6%. CNVs were more frequent in children with congenital malformations or dysmorphic features as well as in the subgroup with intellectual disability. ConclusionOur results support the use of chromosomal microarray methods for the first tier genetic analysis of autism spectrum disorder. However, it is likely in the near future that chromosomal microarray methods will probably be replaced by whole-exome and whole-genome sequencing technologies in clinical genetic testing.
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13.
  • Feeney, Laura Marie, et al. (författare)
  • Spontaneous networking: an application-oriented approach to ad hoc networking
  • 2001. - 1
  • Ingår i: IEEE Communications Magazine. - : Institute of Electrical and Electronics Engineers (IEEE). - 0163-6804 .- 1558-1896. ; 39:6, s. 176-181
  • Tidskriftsartikel (refereegranskat)abstract
    • An ad hoc network must operate independently of a pre-established or centralised network management infrastructure, while still providing administrative services needed to support applications. Address allocation, name resolution, service location, authentication, and access control policies represent just some of the functionality that must be supported - without pre-configuration n or centralised services. In order to solve these problems, it is necessary to leverage some aspect of the environment in which the network operates. We introduce the notion of a spontaneous network, created when a group of people come together for some collaborative activity. In this case, we can use the human interactions associated with the activity in order to establish a basic service and security infrastructure. We structure our discussion around a practical real-world scenario illustrating the use of such a network, identifying the key challenges involved and some of the techniques that can be used to address them.
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15.
  • Ferrie, Jane E., et al. (författare)
  • Differences in the association between sickness absence and long-term sub-optimal health by occupational position : a 14-year follow-up in the GAZEL cohort
  • 2011
  • Ingår i: Occupational and Environmental Medicine. - : BMJ. - 1351-0711 .- 1470-7926. ; 68:10, s. 729-733
  • Tidskriftsartikel (refereegranskat)abstract
    • Objectives Although sickness absence is a strong predictor of health, whether this association varies by occupational position has rarely been examined. The aim of this study was to investigate overall and diagnosis-specific sickness absence as a predictor of future long-term sub-optimal health by occupational position. Methods This was a prospective occupational cohort study of 15 320 employees (73% men) aged 37–51. Sickness absences (1990–1992), included in 13 diagnostic categories, were examined by occupational position in relation to self-rated health measured annually during 1993–2006. Results 60% of employees in higher occupational positions and 22% in lower positions had no sickness absence. Conversely, 9.5% of employees in higher positions and 40% in lower positions had over 30 sick-leave days. Repeated-measures logistic regression analyses adjusted for age, sex and chronic disease showed employees with over 30 days absence, compared to those with no absence, had approximately double the risk of sub-optimal health over the 14-year follow-up in all occupational positions. 1–30 days sick-leave was associated with greater odds of sub-optimal health in the high (OR 1.48; 95% CI 1.27 to 1.72) and intermediate (1.29; 1.15 to 1.45) but not lower occupational positions (1.06; 0.82 to 1.38). Differences by occupational position in the association between sickness absence in 13 specific diagnostic categories and sub-optimal health over the ensuing 14 years were limited to stronger associations observed with cancer and mental disorders in the higher occupational positions. Conclusions The association between sickness absence of more than 30 days over 3 years and future long-term self-rated health appears to differ little by occupational position.
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16.
  • Fransson, Eleonor, 1971-, et al. (författare)
  • Comparison of alternative versions of the job demand-control scales in 17 European cohort studies : the IPD-Work consortium
  • 2012
  • Ingår i: BMC Public Health. - : Springer Science and Business Media LLC. - 1471-2458. ; 12, s. 62-
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: Job strain (i.e., high job demands combined with low job control) is a frequently used indicator of harmful work stress, but studies have often used partial versions of the complete multi-item job demands and control scales. Understanding whether the different instruments assess the same underlying concepts has crucial implications for the interpretation of findings across studies, harmonisation of multi-cohort data for pooled analyses, and design of future studies. As part of the 'IPD-Work' (Individual-participant-data meta-analysis in working populations) consortium, we compared different versions of the demands and control scales available in 17 European cohort studies. Methods: Six of the 17 studies had information on the complete scales and 11 on partial scales. Here, we analyse individual level data from 70 751 participants of the studies which had complete scales (5 demand items, 6 job control items). Results: We found high Pearson correlation coefficients between complete scales of job demands and control relative to scales with at least three items (r > 0.90) and for partial scales with two items only (r = 0.76-0.88). In comparison with scores from the complete scales, the agreement between job strain definitions was very good when only one item was missing in either the demands or the control scale (kappa > 0.80); good for job strain assessed with three demand items and all six control items (kappa > 0.68) and moderate to good when items were missing from both scales (kappa = 0.54-0.76). The sensitivity was > 0.80 when only one item was missing from either scale, decreasing when several items were missing in one or both job strain subscales. Conclusions: Partial job demand and job control scales with at least half of the items of the complete scales, and job strain indices based on one complete and one partial scale, seemed to assess the same underlying concepts as the complete survey instruments.
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17.
  • Fransson, Eleonor I, et al. (författare)
  • Job strain and the risk of stroke : an individual-participant data meta-analysis
  • 2015
  • Ingår i: Stroke. - 0039-2499 .- 1524-4628. ; 46:2, s. 557-559
  • Tidskriftsartikel (refereegranskat)abstract
    • BACKGROUND AND PURPOSE: Psychosocial stress at work has been proposed to be a risk factor for cardiovascular disease. However, its role as a risk factor for stroke is uncertain.METHODS: We conducted an individual-participant-data meta-analysis of 196 380 males and females from 14 European cohort studies to investigate the association between job strain, a measure of work-related stress, and incident stroke.RESULTS: In 1.8 million person-years at risk (mean follow-up 9.2 years), 2023 first-time stroke events were recorded. The age- and sex-adjusted hazard ratio for job strain relative to no job strain was 1.24 (95% confidence interval, 1.05;1.47) for ischemic stroke, 1.01 (95% confidence interval, 0.75;1.36) for hemorrhagic stroke, and 1.09 (95% confidence interval, 0.94;1.26) for overall stroke. The association with ischemic stroke was robust to further adjustment for socioeconomic status.CONCLUSION: Job strain may be associated with an increased risk of ischemic stroke, but further research is needed to determine whether interventions targeting job strain would reduce stroke risk beyond existing preventive strategies.
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19.
  • Fransson, Eleonor, 1971-, et al. (författare)
  • Job strain as a risk factor for leisure-time physical inactivity : an individual-participant meta-analysis of up to 170,000 men and women
  • 2012
  • Ingår i: American Journal of Epidemiology. - Cary : Oxford University Press. - 0002-9262 .- 1476-6256. ; 176:12, s. 1078-1089
  • Forskningsöversikt (refereegranskat)abstract
    • Unfavorable work characteristics, such as low job control and too high or too low job demands, have been suggested to increase the likelihood of physical inactivity during leisure time, but this has not been verified in large-scale studies. The authors combined individual-level data from 14 European cohort studies (baseline years from 19851988 to 20062008) to examine the association between unfavorable work characteristics and leisure-time physical inactivity in a total of 170,162 employees (50 women; mean age, 43.5 years). Of these employees, 56,735 were reexamined after 29 years. In cross-sectional analyses, the odds for physical inactivity were 26 higher (odds ratio 1.26, 95 confidence interval: 1.15, 1.38) for employees with high-strain jobs (low control/high demands) and 21 higher (odds ratio 1.21, 95 confidence interval: 1.11, 1.31) for those with passive jobs (low control/low demands) compared with employees in low-strain jobs (high control/low demands). In prospective analyses restricted to physically active participants, the odds of becoming physically inactive during follow-up were 21 and 20 higher for those with high-strain (odds ratio 1.21, 95 confidence interval: 1.11, 1.32) and passive (odds ratio 1.20, 95 confidence interval: 1.11, 1.30) jobs at baseline. These data suggest that unfavorable work characteristics may have a spillover effect on leisure-time physical activity.
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20.
  • Head, Jenny, et al. (författare)
  • Socioeconomic differences in healthy and disease-free life expectancy between ages 50 and 75 : a multi-cohort study
  • 2019
  • Ingår i: European Journal of Public Health. - : Oxford University Press (OUP). - 1101-1262 .- 1464-360X. ; 29:2, s. 267-272
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: There are striking socioeconomic differences in life expectancy, but less is known about inequalities in healthy life expectancy and disease-free life expectancy. We estimated socioeconomic differences in health expectancies in four studies in England, Finland, France and Sweden. Methods: We estimated socioeconomic differences in health expectancies using data drawn from repeated waves of the four cohorts for two indicators: (i) self-rated health and (ii) chronic diseases (cardiovascular, cancer, respiratory and diabetes). Socioeconomic position was measured by occupational position. Multistate life table models were used to estimate healthy and chronic disease-free life expectancy from ages 50 to 75. Results: In all cohorts, we found inequalities in healthy life expectancy according to socioeconomic position. In England, both women and men in the higher positions could expect 82-83% of their life between ages 50 and 75 to be in good health compared to 68% for those in lower positions. The figures were 75% compared to 47-50% for Finland; 85-87% compared to 77-79% for France and 80-83% compared to 72-75% for Sweden. Those in higher occupational positions could expect more years in good health (2.1-6.8 years) and without chronic diseases (0.5-2.3 years) from ages 50 to 75. Conclusion: There are inequalities in healthy life expectancy between ages 50 and 75 according to occupational position. These results suggest that reducing socioeconomic inequalities would make an important contribution to extending healthy life expectancy and disease-free life expectancy.
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