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      Contribution of chronic diseases to the disability burden in a population 15 years and older, Belgium, 1997–2008

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          Abstract

          Background

          Age-associated disability reduces quality of life in older populations and leads to wide-range implications for social and health policy. The identification of diseases that contribute to the disability burden is crucial to the development of prevention and intervention strategies to reduce disability. In this study, we assessed the contribution of chronic diseases to the prevalence of disability in Belgium.

          Methods

          Data from 35,837 individuals aged 15 years or older who participated in the 1997, 2001, 2004, or 2008 Belgian Health Interview Surveys were used. Disability was defined as difficulties in doing at least one of six activities of daily living (transfer in and out of bed, transfer in and out of chair, dressing, washing hands and face, feeding, and going to the toilet) and/or mobility limitations (ability to walk without stopping less than 200 m). Multiple additive regression models were fitted separately for men and women to estimate the age-specific background disability rate (experienced by everyone, independent of the presence of specific diseases) and disease-specific disability rates (disability rate in subjects who reported selected chronic diseases).

          Results

          Musculoskeletal, cardiovascular, and respiratory diseases were the main contributors to the disability burden in Belgium. Musculoskeletal diseases were the most prevalent diseases in men and women in all age groups. Neurological diseases and stroke were the most disabling diseases, i.e. caused the highest level of disability among the diseased individuals, in all age groups for men and women, respectively. Back pain was the main cause of disability in men aged 15 to 64 years, while heart attack was the major contributor to the disability prevalence in men aged 65 or older. Likewise, arthritis was the main cause of disability among women across all age groups. Depression was also an important contributor in young subjects (15–54 years). Cancer was not an important contributor to the disability prevalence in Belgium.

          Conclusions

          To reduce the burden of disability in Belgium, interventions should target musculoskeletal, cardiovascular and respiratory diseases especially among elderly. Furthermore, attention should also be given to depression in young individuals.

          Electronic supplementary material

          The online version of this article (doi:10.1186/s12889-015-1574-z) contains supplementary material, which is available to authorized users.

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          Most cited references41

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          Global burden of disease in young people aged 10-24 years: a systematic analysis.

          Young people aged 10-24 years represent 27% of the world's population. Although important health problems and risk factors for disease in later life emerge in these years, the contribution to the global burden of disease is unknown. We describe the global burden of disease arising in young people and the contribution of risk factors to that burden. We used data from WHO's 2004 Global Burden of Disease study. Cause-specific disability-adjusted life-years (DALYs) for young people aged 10-24 years were estimated by WHO region on the basis of available data for incidence, prevalence, severity, and mortality. WHO member states were classified into low-income, middle-income, and high-income countries, and into WHO regions. We estimated DALYs attributable to specific global health risk factors using the comparative risk assessment method. DALYs were divided into years of life lost because of premature mortality (YLLs) and years lost because of disability (YLDs), and are presented for regions by sex and by 5-year age groups. The total number of incident DALYs in those aged 10-24 years was about 236 million, representing 15·5% of total DALYs for all age groups. Africa had the highest rate of DALYs for this age group, which was 2·5 times greater than in high-income countries (208 vs 82 DALYs per 1000 population). Across regions, DALY rates were 12% higher in girls than in boys between 15 and 19 years (137 vs 153). Worldwide, the three main causes of YLDs for 10-24-year-olds were neuropsychiatric disorders (45%), unintentional injuries (12%), and infectious and parasitic diseases (10%). The main risk factors for incident DALYs in 10-24-year-olds were alcohol (7% of DALYs), unsafe sex (4%), iron deficiency (3%), lack of contraception (2%), and illicit drug use (2%). The health of young people has been largely neglected in global public health because this age group is perceived as healthy. However, opportunities for prevention of disease and injury in this age group are not fully exploited. The findings from this study suggest that adolescent health would benefit from increased public health attention. None. Copyright © 2011 Elsevier Ltd. All rights reserved.
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            Disability and quality of life impact of mental disorders in Europe: results from the European Study of the Epidemiology of Mental Disorders (ESEMeD) project.

            This manuscript examines the impact of mental health state and specific mental and physical disorders on work role disability and quality of life in six European countries. The ESEMeD study was conducted in: Belgium, France, Germany, Italy, the Netherlands and Spain. Individuals aged 18 years and over who were not institutionalized were eligible for an in-home computer-assisted interview. Common mental disorders, work loss days (WLD) in the past month and quality of life (QoL) were assessed, using the WMH-2000 version of the CIDI, the WHODAS-II, and the mental and physical component scores (MCS, PCS) of the 12-item short form, respectively. The presence of five chronic physical disorders: arthritis, heart disease, lung disease, diabetes and neurological disease was also assessed. Multivariate regression techniques were used to identify the independent association of mental and physical disorders while controlling for gender, age and country. In each country, WLD and loss of QoL increased with the number of disorders. Most mental disorders had approximately 1.0 SD-unit lower mean MCS and lost three to four times more work days, compared with people without any 12-month mental disorder. The 10 disorders with the highest independent impact on WLD were: neurological disease, panic disorder, PTSD, major depressive episode, dysthymia, specific phobia, social phobia, arthritis, agoraphobia and heart disease. The impact of mental vs. physical disorders on QoL was specific, with mental disorders impacting more on MCS and physical disorders more on PCS. Compared to physical disorders, mental disorders had generally stronger 'cross-domain' effects. The results suggest that mental disorders are important determinants of work role disability and quality of life, often outnumbering the impact of common chronic physical disorders.
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              Methodological basics and evolution of the Belgian health interview survey 1997–2008

              Background The Belgian Health Interview Survey (BHIS) is organised every 4 to 5 years and collects health information from around 10,000 individuals in a face-to-face setting. This manuscript describes the methodological choices made in the sampling design, the outcomes of the previous surveys in terms of participation rates and achieved targets and the factors to be accounted for in data-analysis. Methods The BHIS targets all persons residing in Belgium with no restrictions on age or nationality. Trimestral copies of the National Population Registry are used as the sampling frame. To select the respondents, a multistage sampling design is applied involving a geographical stratification, a selection of clusters, a selection of households within each cluster and a selection of respondents within each household. Using matched substitution of non-participating households assures the realisation of the predefined net-sample. Results For each BHIS the required number of participants is achieved, including the years when an oversampling of provinces and of the elderly occurred. The sampling design guarantees that the survey is implemented in large cities as well as in small municipalities. A growing problem is related to the sampling frame: it is increasingly subject of deterioration, especially in the Brussels-Capital Region. Conclusions The methodological approach developed for the first BHIS proves to be accurate and was kept nearly unchanged throughout the following surveys. Fieldwork substitution contributes to a considerable extent to the success of the fieldwork but yields in higher percentages of non-participation. The sampling design requires special attention when analysing the data: the unequal selection probability, e.g. due to the non-proportional stratification at the regional level, necessitates the use of weights. The BHIS is progressively embedded in the European Health Survey, a process that doesn’t jeopardise the comparability of the Belgian results throughout time.
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                Author and article information

                Contributors
                renata.yokota@wiv-isp.be
                Nicolas.Berger@wiv-isp.be
                w.nusselder@erasmusmc.nl
                jean-marie.robine@inserm.fr
                Jean.Tafforeau@wiv-isp.be
                patrick.deboosere@vub.ac.be
                Herman.VanOyen@wiv-isp.be
                Journal
                BMC Public Health
                BMC Public Health
                BMC Public Health
                BioMed Central (London )
                1471-2458
                7 March 2015
                7 March 2015
                2015
                : 15
                : 229
                Affiliations
                [ ]Department of Public Health and Surveillance, Scientific Institute of Public Health, Rue Juliette Wytsmanstraat 14, 1050 Brussels, Belgium
                [ ]Department of Social Research, Interface Demography, Vrije Universiteit Brussel, 1050 Brussels, Belgium
                [ ]Department of Social & Environmental Health Research, London School of Hygiene & Tropical Medicine, London, UK
                [ ]Department of Public Health, Erasmus MC, Rotterdam, The Netherlands
                [ ]French Institute of Health and Medical Research (INSERM), Montpellier, France
                [ ]École Pratique des Hautes Études, Paris, France
                [ ]Department of Public Health, Ghent University, Ghent, Belgium
                Article
                1574
                10.1186/s12889-015-1574-z
                4361141
                25879222
                0da840c1-b471-4acd-a5a1-9e81be0d2f8f
                © Yokota et al.; licensee BioMed Central. 2015

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 11 September 2014
                : 19 February 2015
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2015

                Public health
                disability,chronic disease,belgium
                Public health
                disability, chronic disease, belgium

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