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Identifying Indicative Health Behaviours and Psychosocial Factors Affecting Multi-morbidity Conditions in Ageing Populations: Preliminary Results from the ELSA study of Ageing
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/></div></noscript> <!-- /Yandex.Metrika counter --> <!-- Matomo --> <!-- End Matomo Code --> <title>Identifying Indicative Health Behaviours and Psychosocial Factors Affecting Multi-morbidity Conditions in Ageing Populations: Preliminary Results from the ELSA study of Ageing</title> <meta name="description" content="Identifying Indicative Health Behaviours and Psychosocial Factors Affecting Multi-morbidity Conditions in Ageing Populations: Preliminary Results from the ELSA study of Ageing"> <meta name="keywords" content="multimorbidity, health behaviours, patient centred care, psychosocial factors"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link 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href="https://publications.waset.org/abstracts/search?q=Andrew%20Farmer"> Andrew Farmer</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Multimorbidity may be strongly affected by a variety of conditions, factors, and variables requiring higher demands on health and social care services, infrastructure, and expenses. Holding one or more conditions increases one’s risk for development of future conditions; with patients over 65 years old at highest risk. Psychosocial factors such as anxiety and depression are rising exponentially globally, which has been amplified by the COVID19 pandemic. These are highly correlated and predict poorer outcomes when held in coexistence and increase the likelihood of comorbid physical health conditions. While possible future reform of social and healthcare systems may help to alleviate some of these mounting pressures, there remains an urgent need to better understand the potential role health behaviours and psychosocial conditions - such as anxiety and depression – may have on aging populations. Using the UK healthcare scene as a lens for analysis, this study uses big data collected in the UK Longitudinal Study of Aging (ELSA) to examine the role of anxiety and depression in ageing populations (65yrs+). Using logistic regression modelling, results identify the 10 most significant variables correlated with both anxiety and depression from data categorised into the areas of health behaviour, psychosocial, socioeconomic, and life satisfaction (each demonstrated through literature review to be of significance). These are compared with wider global research findings with the aim of better understanding the areas in which social and healthcare reform can support multimorbidity interventions, making suggestions for improved patient-centred care. Scope of future research is outlined, which includes analysis of 59 total multimorbidity variables from the ELSA dataset, going beyond anxiety and depression. <iframe src="https://publications.waset.org/abstracts/161866.pdf" style="width:100%; height:400px;" frameborder="0"></iframe> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=multimorbidity" title="multimorbidity">multimorbidity</a>, <a href="https://publications.waset.org/abstracts/search?q=health%20behaviours" title=" health behaviours"> health behaviours</a>, <a href="https://publications.waset.org/abstracts/search?q=patient%20centred%20care" title=" patient centred care"> patient centred care</a>, <a href="https://publications.waset.org/abstracts/search?q=psychosocial%20factors" title=" psychosocial factors"> psychosocial factors</a> </p> <a href="https://publications.waset.org/abstracts/161866/identifying-indicative-health-behaviours-and-psychosocial-factors-affecting-multi-morbidity-conditions-in-ageing-populations-preliminary-results-from-the-elsa-study-of-ageing" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/161866.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">92</span> </span> </div> </div> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" class="p-3"> <div class="row"> <div class="col-md-2"> <ul class="list-unstyled"> About <li><a href="https://waset.org/page/support">About Us</a></li> <li><a href="https://waset.org/page/support#legal-information">Legal</a></li> <li><a target="_blank" rel="nofollow" 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