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      Multimorbidity is associated with the income, education, employment and health domains of area-level deprivation in adult residents in the UK

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      1 , 2 ,
      Scientific Reports
      Nature Publishing Group UK
      Epidemiology, Socioeconomic scenarios

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          Abstract

          Evidence suggests that there are social inequalities in multimorbidity, with a recent review indicating that area levels of deprivation are consistently associated with greater levels of multimorbidity. Definitions of multimorbidity, the most common of which is the co-occurrence of more than one long term condition, can include long term physical conditions, mental health conditions or both. The most commonly used measure of deprivation in England and Wales is the Index of Multiple Deprivation (IMD), an index of seven different deprivation domains. It is unclear which features of IMD may be mediating associations with multimorbidity. Thus, there may be associations because of the individual characteristics of those living in deprived areas, characteristics of the areas themselves or overlap in definitions. Data from over 25,000 participants (aged 16+) of Understanding Society (Wave 10, 1/2018–3/2020) were used to understand the most salient features of multimorbidity associated with IMD and whether physical or mental conditions are differentially associated with the seven domains of IMD. 24% of participants report multimorbidity. There is an increased prevalence of multimorbidity composed of only long-term physical conditions in the most deprived decile of deprivation (22%, 95% CI[19,25]) compared to the least deprived decile (16%, 95% CI[14,18]). Mental health symptoms but not reporting of conditions vary by decile of IMD. Associations with multimorbidity are limited to the health, income, education and employment domains of IMD. We conclude that multimorbidity represents a substantial population burden, particularly in the most deprived areas in England and Wales.

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          Epidemiology of multimorbidity and implications for health care, research, and medical education: a cross-sectional study.

          Long-term disorders are the main challenge facing health-care systems worldwide, but health systems are largely configured for individual diseases rather than multimorbidity. We examined the distribution of multimorbidity, and of comorbidity of physical and mental health disorders, in relation to age and socioeconomic deprivation. In a cross-sectional study we extracted data on 40 morbidities from a database of 1,751,841 people registered with 314 medical practices in Scotland as of March, 2007. We analysed the data according to the number of morbidities, disorder type (physical or mental), sex, age, and socioeconomic status. We defined multimorbidity as the presence of two or more disorders. 42·2% (95% CI 42·1-42·3) of all patients had one or more morbidities, and 23·2% (23·08-23·21) were multimorbid. Although the prevalence of multimorbidity increased substantially with age and was present in most people aged 65 years and older, the absolute number of people with multimorbidity was higher in those younger than 65 years (210,500 vs 194,996). Onset of multimorbidity occurred 10-15 years earlier in people living in the most deprived areas compared with the most affluent, with socioeconomic deprivation particularly associated with multimorbidity that included mental health disorders (prevalence of both physical and mental health disorder 11·0%, 95% CI 10·9-11·2% in most deprived area vs 5·9%, 5·8%-6·0% in least deprived). The presence of a mental health disorder increased as the number of physical morbidities increased (adjusted odds ratio 6·74, 95% CI 6·59-6·90 for five or more disorders vs 1·95, 1·93-1·98 for one disorder), and was much greater in more deprived than in less deprived people (2·28, 2·21-2·32 vs 1·08, 1·05-1·11). Our findings challenge the single-disease framework by which most health care, medical research, and medical education is configured. A complementary strategy is needed, supporting generalist clinicians to provide personalised, comprehensive continuity of care, especially in socioeconomically deprived areas. Scottish Government Chief Scientist Office. Copyright © 2012 Elsevier Ltd. All rights reserved.
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            Defining and measuring multimorbidity: a systematic review of systematic reviews

            Multimorbidity, the coexistence of multiple health conditions, is a growing public health challenge. Research and intervention development are hampered by the lack of consensus regarding defining and measuring multimorbidity. The aim of this systematic review was to pool the findings of systematic reviews examining definitions and measures of multimorbidity.
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              Sensitive questions in surveys.

              Psychologists have worried about the distortions introduced into standardized personality measures by social desirability bias. Survey researchers have had similar concerns about the accuracy of survey reports about such topics as illicit drug use, abortion, and sexual behavior. The article reviews the research done by survey methodologists on reporting errors in surveys on sensitive topics, noting parallels and differences from the psychological literature on social desirability. The findings from the survey studies suggest that misreporting about sensitive topics is quite common and that it is largely situational. The extent of misreporting depends on whether the respondent has anything embarrassing to report and on design features of the survey. The survey evidence also indicates that misreporting on sensitive topics is a more or less motivated process in which respondents edit the information they report to avoid embarrassing themselves in the presence of an interviewer or to avoid repercussions from third parties. PsycINFO Database Record (c) 2007 APA, all rights reserved
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                Author and article information

                Contributors
                mkumari@essex.ac.uk
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                4 May 2022
                4 May 2022
                2022
                : 12
                : 7280
                Affiliations
                [1 ]GRID grid.11081.39, ISNI 0000 0004 0550 8217, Institute of Rural Studies, , Johann Heinrich Von Thünen-Institut, ; Bundesallee 64, 38116 Braunschweig, Germany
                [2 ]GRID grid.8356.8, ISNI 0000 0001 0942 6946, Institute for Social and Economic Research (ISER), , University of Essex, ; Wivenhoe Park, Colchester, CO4 3SQ UK
                Article
                11310
                10.1038/s41598-022-11310-9
                9068903
                35508678
                c4dd7819-06ab-4561-a20c-4d9e2d6d0948
                © The Author(s) 2022

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 1 April 2021
                : 12 January 2022
                Funding
                Funded by: Economic and Social Research Council (ESRC)
                Award ID: ES/N00812X/1
                Award ID: ES/N00812X/1
                Award Recipient :
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                © The Author(s) 2022

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                epidemiology,socioeconomic scenarios
                Uncategorized
                epidemiology, socioeconomic scenarios

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