Роль корпоративной культуры в системе мотивации труда

OBJECTIVES: Multimorbidity is common in the older population, but the impact of combinations of chronic conditions on disability and quality of life (QoL) is not well known. This analysis explores the effect of specific combinations of chronic diseases on disability, QoL and self-rated health (SRH). DESIGN: We used data from two population representative cross-sectional studies, the Northern Ireland Health and Social Wellbeing Survey (NIHSWS) 2005 and the Survey of Lifestyle, Attitudes and Nutrition (SLAN) 2007 (conducted in the Republic of Ireland). SETTING: Randomly selected community-living participants were interviewed at home. PARTICIPANTS: A total of 6159 participants aged 50 years and older were included in the analysis. OUTCOME MEASURES: Chronic conditions were classified as cardiovascular disease, chronic pain, diabetes or respiratory disease. Interaction terms estimated by logistic regression were used to examine the effects of multiple chronic conditions on disability, SRH and QoL. RESULTS: Each chronic condition group was correlated with each of the others after adjusting for sociodemographic factors. Those from Northern Ireland were more likely to report a limitation in daily activities (45%) compared to those from the Republic of Ireland (21%). Each condition had an independent effect on disability, SRH and QoL, and those with multiple chronic conditions reported the worst outcomes. However, there were no statistically significant positive interactions between chronic condition groups with respect to any outcome. CONCLUSIONS: Chronic conditions affect individuals largely independent of each other with respect to their effect on disability, SRH and QoL. However, a significant proportion of the population aged 50 years and over across the island of Ireland lives with multimorbidity, and this group is at the highest risk of disability, poor SRH and poor QoL

Social and emotional developmental vulnerability at age five in Aboriginal and non-Aboriginal children in New South Wales: a population data linkage study

Background Early childhood social and emotional development underpins later social, emotional, academic and other outcomes. The first aim of this study was to explore the association between child, family and area-level characteristics associated with developmental vulnerability, amongst Aboriginal and non-Aboriginal children in their first year of school. The second aim was to quantify the magnitude of the social and emotional developmental inequalities between Aboriginal and non-Aboriginal children and the extent to which differences in socioeconomic disadvantage and perinatal characteristics explained this inequality. Methods This retrospective cohort study used cross-sectoral data linkage to identify and follow participants from birth to school age. In this way, social and emotional development was examined in 7,384 Aboriginal and 95,104 non-Aboriginal children who were included in the Australian Early Development Census in their first year of full-time school in New South Wales (NSW) in 2009 or 2012 and had a birth registration and/or perinatal record in NSW. The primary outcome measures were teacher-reported social competence and emotional maturity as measured using the Australian version of the Early Development Instrument. Results The mean age at the start of the school year for children in the study sample was 5.2 years (SD = 0.36 years). While 84% of Aboriginal children scored favourably - above the vulnerability threshold – for social competence and 88% for emotional maturity, Aboriginal children were twice as likely as non-Aboriginal children to be vulnerable on measures of social development (RR = 2.00; 95%CI, 1.89–2.12) and had 89% more risk of emotional vulnerability (RR = 1.89; 95%CI, 1.77–2.02). The inequality between Aboriginal and non-Aboriginal children was largely explained by differences in the socioeconomic and perinatal health characteristics of children and families. Thus, after adjusting for differences in measures of socioeconomic advantage and disadvantage (Model 2), the relative risk was attenuated to 1.31 (95% CI: 1.23–1.40) on the social competence domain and 1.24 (95% CI, 1.15–1.33) on the emotional maturity domain. Child, family and area-level characteristics associated with vulnerability were identified. Conclusions Most of the gap in early childhood social and emotional development between Aboriginal and non-Aboriginal children can be attributed to socioeconomic and early life health disadvantage. Culturally safe health and social policies addressing the socioeconomic and health inequalities experienced by Aboriginal children are urgently required.This work was supported by National Health and Medical Research Council of Australia (NHMRC) Project Grant (#1061713) and a Financial Markets Foundation for Children (Australia) grant (2016–341). AW was supported by a NSW Health Early-Mid Career Fellowship. KF was supported by an NHMRC Early Career Fellowship (#1016475) and an NHMRC capacity building grant (#573122). EB was supported by an NHMRC Principal Research Fellowship (#1136128). SE was supported by an NHMRC Career Development Fellowship (#1013418)

Developmental vulnerability at age five among children who enter and progress through the child protection system in New South Wales, Australia: a cross-sectoral data linkage study

Introduction A recent independent review of the child protection system in New South Wales (NSW), Australia, highlighted the need for whole-of-government reform to improve outcomes for children at risk of, or experiencing, maltreatment. Population-level evidence on outcomes of children who enter and progress through the child protection system is currently lacking. Objectives and Approach We aimed to quantify developmental vulnerability at age five among children who enter and progress through the child protection system during early childhood to demonstrate the value of cross-sectoral data linkage to inform and evaluate policy at a population-level. We used Australian Early Development Census (AEDC) data linked to cross-sectoral population datasets in NSW, including birth registrations, perinatal, and child protection notification and out-of-home care (OOHC) placement data. Linked AEDC data, collected in 2009 and 2012, are available for 153,670 NSW children. Socio-demographic and perinatal characteristics available in the linked data were used to characterise the population. Results 21,179 (13.9%) children had ≥1 ‘screened in’ notification, 4927 (3.2%) had ≥1 substantiated abuse and neglect notification, and 2177 (1.4%) had ≥1 OOHC placement before their fifth birthday. Indicators of disadvantage and adverse birth outcomes were more common among children who progressed to higher levels of the child protection system. The proportion developmentally vulnerable on ≥1 domains of the AEDC increased for children who entered and progressed through the child protection system; from 21% of children with no contact with child protection before age five, to 39% of children with ≥1 ‘screened in’ notification, 50% with ≥1 substantiated notification, and 54% with ≥1 OOHC placement before their fifth birthday. Comparison of findings from other Australian jurisdictions with similar data will be discussed. Conclusion/Implications This study demonstrates there is scope to improve developmental outcomes through targeted interventions among children who become known to child protection during early childhood in NSW. Moreover, it illustrates that cross-sectoral data linkage can be used to inform and evaluate policy reforms to drive better outcomes for vulnerable children

Data Resource Profile: Seeding Success: a cross-sectoral data resource for early childhood health and development research in Australian Aboriginal and non-Aboriginal children

This work was supported by an Australian National Health and Medical Research Council (NHMRC) Project Grant (#1061713). K.F. was supported by an NHMRC Early Career Fellowship (#1016475) and an NHMRC capacity building grant (#573122). E.B. was supported by an NHMRC Senior Research Fellowship (#1042717). S.E. was supported by an NHMRC Career Development Fellowship (#1013418). M.B. was supported by the Manitoba Center for Health Policy Population-Based Child Health Research Award. S.G. was supported by an NHMRC Career Development Fellowship (#1082922)

Impact of early disease factors on metabolic syndrome in systemic lupus erythematosus: data from an international inception cohort.

To access publisher's full text version of this article, please click on the hyperlink in Additional Links field or click on the hyperlink at the top of the page marked Files. This article is open access.The metabolic syndrome (MetS) may contribute to the increased cardiovascular risk in systemic lupus erythematosus (SLE). We examined the association between MetS and disease activity, disease phenotype and corticosteroid exposure over time in patients with SLE.Recently diagnosed (1, higher disease activity, increasing age and Hispanic or Black African race/ethnicity were independently associated with MetS over the first 2 years of follow-up in the cohort.MetS is a persistent phenotype in a significant proportion of patients with SLE. Renal lupus, active inflammatory disease and damage are SLE-related factors that drive MetS development while antimalarial agents appear to be protective from early in the disease course.Canadian Institutes of Health Research 93695 86526 Arthritis Research UK (Arthritis Research UK Epidemiology Unit Core Support Programme Grant) National Institute for Health Research (NIHR) Biomedical Research Unit Funding Scheme NIHR Manchester Biomedical Research Centre Arthritis Research UK Manchester Academic Health Science Centre NIHR Biomedical Research Unit Funding Scheme NIHR Manchester Wellcome Trust Clinical Research Facility Arthritis Research Clinical Research Fellowship 18845 Ministry for Health and Welfare, Republic of Korea A120404 Lupus UK NIHR/Wellcome Trust Clinical Research Facility at University Hospital Birmingham NHS Foundation Trust and City Hospital Sandwell and West Birmingham Hospitals NHS Trust, UK NIH UL1 RR025741 P60AR 30692 K24 AR 002138 RR00046 Hopkins Lupus Cohort NIH RD-1 43727 Department of Education, Universities and Research, Basque Government Singer Family Fund for Lupus Research tier 1 Canada Research Chair on Systemic Autoimmune Rheumatic Diseases, Universite Lava

Glucocorticoid use and factors associated with variability in this use in the Systemic Lupus International Collaborating Clinics Inception Cohort

To describe glucocorticoid (GC) use in the SLICC inception cohort and to explore factors associated with GC use. In particular we aimed to assess temporal trends in GC use and to what extent physician-related factors may influence use. Patients were recruited within 15 months of diagnosis of SLE from 33 centres between 1999 and 2011 and continue to be reviewed annually. Descriptive statistics were used to detail oral and parenteral GC use. Cross sectional and longitudinal analyses were performed to explore factors associated with GC use at enrolment and over time. We studied 1700 patients with a mean (s.d.) follow-up duration of 7.26 (3.82) years. Over the entire study period, 1365 (81.3%) patients received oral GCs and 447 (26.3%) received parenteral GCs at some point. GC use was strongly associated with treatment centre, age, race/ethnicity, sex, disease duration and disease activity. There was no change in the proportion of patients on GCs or the average doses of GC used over time according to year of diagnosis. GCs remain a cornerstone in SLE management and there have been no significant changes in their use over the past 10-15 years. While patient and disease factors contribute to the variation in GC use, between-centre differences suggest that physician-related factors also contribute. Evidence-based treatment algorithms are needed to inform a more standardized approach to GC use in SL

B cell and/or autoantibody deficiency do not prevent neuropsychiatric disease in murine systemic lupus erythematosus

Background: Neuropsychiatric lupus (NPSLE) can be one of the earliest clinical manifestations in human lupus. However, its mechanisms are not fully understood. In lupus, a compromised blood-brain barrier may allow for the passage of circulating autoantibodies into the brain, where they can induce neuropsychiatric abnormalities including depression-like behavior and cognitive abnormalities. The purpose of this study was to determine the role of B cells and/or autoantibodies in the pathogenesis of murine NPSLE. Methods: We evaluated neuropsychiatric manifestations, brain pathology, and cytokine expression in constitutively (JhD/MRL/lpr) and conditionally (hCD20-DTA/MRL/lpr, inducible by tamoxifen) B cell-depleted mice as compared to MRL/lpr lupus mice. Results: We found that autoantibody levels were negligible (JhD/MRL/lpr) or significantly reduced (hCD20-DTA/MRL/lpr) in the serum and cerebrospinal fluid, respectively. Nevertheless, both JhD/MRL/lpr and hCD20-DTA/MRL/lpr mice showed profound depression-like behavior, which was no different from MRL/lpr mice. Cognitive deficits were also observed in both JhD/MRL/lpr and hCD20-DTA/MRL/lpr mice, similar to those exhibited by MRL/lpr mice. Furthermore, although some differences were dependent on the timing of depletion, central features of NPSLE in the MRL/lpr strain including increased blood-brain barrier permeability, brain cell apoptosis, and upregulated cytokine expression persisted in B cell-deficient and B cell-depleted mice. Conclusions: Our study surprisingly found that B cells and/or autoantibodies are not required for key features of neuropsychiatric disease in murine NPSLE