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		<title>DEXSAGE has generated a database now available for download at Zenodo.org</title>
		<link>https://www.synyo.com/news/dexsage-has-generated-a-database-now-available-for-download-at-zenodo-org/</link>
		
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		<pubDate>Sat, 01 May 2021 07:21:53 +0000</pubDate>
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					<description><![CDATA[<p>The post <a href="https://www.synyo.com/news/dexsage-has-generated-a-database-now-available-for-download-at-zenodo-org/">DEXSAGE has generated a database now available for download at Zenodo.org</a> appeared first on <a href="https://www.synyo.com">SYNYO GmbH</a>.</p>
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<div style='padding-bottom:0px;' class='av-special-heading av-special-heading-h2  blockquote modern-quote   av-thin-font'><h2 class='av-special-heading-tag'  itemprop="headline"  ><strong>DEXSAGE has generated a database now available for download at Zenodo.org </strong></h2><div class='special-heading-border'><div class='special-heading-inner-border' ></div></div></div><br />
<section class="av_textblock_section"  itemscope="itemscope" itemtype="https://schema.org/BlogPosting" itemprop="blogPost" ><div class='avia_textblock  av_inherit_color'  style='font-size:16px; color:#333333; '  itemprop="text" ><p><a name="_Toc55971186"></a><strong>DEXSAGE collected unique data using experience sampling method. Older adults provided records of their daily activities for 9 consecutive days including what, where and with whom they were doing. The background variables included sociodemographic characteristics, information on self-reported health, and a short version of Nottingham Health Profile. All datasets are compatible and can be merged together using unique identifiers. The data is made available on Zenodo.org for registered researchers.  </strong></p>
<p>One of the main objectives of the project was to collect a unique dataset recording everyday experiences of older adults – including their objective and subjective characteristics. The dataset comprises of nearly 3000 activities including 1809 randomly sampled activities, 400 activities reported in the end-of-the-day reports as the key activity of the given day, and 600 activities reported in the end-of-the-day reports as the best or the worst activity of the day. The data was collected between January and April 2020 on a sample of 200 non-institutionalized older adults aged 65 and above living in Poland.</p>
<p>The data collected within the study comprises of the following datasets:</p>
<ol>
<li>Individual-level data collected using standard survey questionnaire</li>
<li>Activity-level data collected using experience sampling method and featuring randomly-sampled activity episodes</li>
<li>Activity level data collected in the end-of-the-day reports and featuring the best or worst activity of the given day</li>
<li>Activity-level data collected in the end-of-the-day reports and featuring the main activity of the given day</li>
</ol>
<p>The structure of the data differs by the type of information collected. In the case of questionnaire 1 (collecting background information) the unit of observation is an individual and the number of rows equals the number of respondents in the study. In the case of the three datasets collecting information on activities, the unit of observation is an episode of an activity and the data is coded in stacked long format, that is each row represents a separate activity. The number of rows per respondents depends on the number of activities they reported.</p>
<p>All datasets are fully anonymized. They can be merged using a combination of the following identifiers:</p>
<p>Person ID + day ID</p>
<p>In order to reconstruct the chronological sequence of events (activity-level data) please append the files and sort them by the following variables:</p>
<p>Person ID+ day ID+ hr + mins</p>
<p>Information on the sampling frame is available in the study documentation uploaded on Zenodo.org together with the datasets. All datasets are provided in STATA 16 format. Value labels for all variables are provided in English. Missing values were not imputed. The verbatim answers to the question about main activity are available by request.</p>
<p>The data can be used to analyse momentary emotions that accompany a variety of daily events. ESM is excellent at capturing emotional states and how they fluctuate across the day. It also removed memory bias, which is important, in particular in the case of older respondents. Together with the information on everyday experiences the interviewers also asked about the particular meaningful activities for older adults. This allowed for constructing a complex dataset that permits comparisons between randomly sampled and particularly meaningful events of daily life. When using the data for your research please cite the source as given below:</p>
<p>Ewa Jarosz. (2020). DEXSAGE Daily Experiences of Successful Ageing (Version v1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.4017865</p>
<h3><a name="_Toc65502173"></a>Links</h3>
<h4><a name="_Toc65502174"></a><a href="https://zenodo.org/record/4017865#.YRFqno4zaM8">https://zenodo.org/record/4017865#.YRFqno4zaM8</a></h4>
<h3></h3>
<h3>Keywords</h3>
<p>Experience sampling method, older adults, lifestyle, experiences</p>
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			</item>
		<item>
		<title>DEXSAGE: Project uses complex statistical techniques to analyse older adults’ daily experiences</title>
		<link>https://www.synyo.com/news/dexsage-project-uses-complex-statistical-techniques-to-analyse-older-adults-daily-experiences/</link>
		
		<dc:creator><![CDATA[leo]]></dc:creator>
		<pubDate>Wed, 08 Jan 2020 08:17:07 +0000</pubDate>
				<category><![CDATA[DEXSAGE]]></category>
		<category><![CDATA[News]]></category>
		<category><![CDATA[news]]></category>
		<guid isPermaLink="false">https://www.synyo.com/?p=9939</guid>

					<description><![CDATA[<p>The post <a href="https://www.synyo.com/news/dexsage-project-uses-complex-statistical-techniques-to-analyse-older-adults-daily-experiences/">DEXSAGE: Project uses complex statistical techniques to analyse older adults’ daily experiences</a> appeared first on <a href="https://www.synyo.com">SYNYO GmbH</a>.</p>
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<div style='padding-bottom:0px;' class='av-special-heading av-special-heading-h2  blockquote modern-quote  av-thin-font'><h2 class='av-special-heading-tag'  itemprop="headline"  ><strong>DEXSAGE: Project uses complex statistical techniques to analyse older adults’ daily experiences</strong></h2><div class='special-heading-border'><div class='special-heading-inner-border' ></div></div></div><br />
<section class="av_textblock_section"  itemscope="itemscope" itemtype="https://schema.org/BlogPosting" itemprop="blogPost" ><div class='avia_textblock  av_inherit_color'  style='font-size:16px; color:#333333; '  itemprop="text" ><p><strong>Most commonly datasets collected using experience sampling method (ESM) have been analysed using ANOVA and related techniques. This project has employed complex statistical techniques including multilevel mixed and fixed effects models and latent class analysis using generalized structural equation modelling (gsem) in Stata 16 to investigate different aspects of older adults’ daily behaviours and their subjective meaning. </strong></p>
<p>Experience sampling method has been used to obtain the in-situ assessment of particular experiences or emotional states an individual experiences throughout the day. The relatively complex structure of the data generated via this data collection technique yields some analytical challenges. In ESM observations are not independent but they are nested within individuals. For this reason, standard analytical techniques such as regression analysis cannot be employed. This opens up opportunities for more sophisticated statistical techniques to be used.</p>
<p>The present study makes full use of the data and accounts for its complexity. Three papers were produced, each of which has accounted for the multilevel structure of the data in a different way:</p>
<p>1/ Multilevel mixed effects models were used to analyse the episode-level determinants of activity enjoyment;</p>
<p>2/ Generalized structural equation models were used to analyse individual-level behaviours using a combination of count and binomial variables derived from repeated-measures data;</p>
<p>3/ Multilevel logistic regression models were used to analyse which activities were more likely to be reported as best, worst or main activities compared to being reported as random activity</p>
<p>Finally, similar to techniques used in time use data analyses, simple individual-level measures were generated to account for broader characteristics of each day, including individual-level variance in stress, enjoyment or perceived activity importance</p>
<p>This study is thus innovative also in terms of the data analysis techniques.</p>
<h2><a name="_Toc74549665"></a>References</h2>
<p>Verhagen, S.J., Hasmi, L., Drukker, M., van Os, J. and Delespaul, P.A., 2016. Use of the experience sampling method in the context of clinical trials. <em>Evidence-based mental health</em>, <em>19</em>(3), pp.86-89.</p>
<h2><a name="_Toc74549666"></a>Keywords</h2>
<p>Experience sampling method, multilevel mixed effects modelling, generalized structural equation modelling</p>
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		<title>DEXSAGE: Project uses innovative methods and statistical techniques to investigate the covariates of life satisfaction in late adulthood</title>
		<link>https://www.synyo.com/news/dexsage-project-uses-innovative-methods-and-statistical-techniques-to-investigate-the-covariates-of-life-satisfaction-in-late-adulthood/</link>
		
		<dc:creator><![CDATA[leo]]></dc:creator>
		<pubDate>Sat, 04 Jan 2020 08:10:00 +0000</pubDate>
				<category><![CDATA[DEXSAGE]]></category>
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		<guid isPermaLink="false">https://www.synyo.com/?p=9934</guid>

					<description><![CDATA[<p>The post <a href="https://www.synyo.com/news/dexsage-project-uses-innovative-methods-and-statistical-techniques-to-investigate-the-covariates-of-life-satisfaction-in-late-adulthood/">DEXSAGE: Project uses innovative methods and statistical techniques to investigate the covariates of life satisfaction in late adulthood</a> appeared first on <a href="https://www.synyo.com">SYNYO GmbH</a>.</p>
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<div style='padding-bottom:0px;' class='av-special-heading av-special-heading-h2  blockquote modern-quote  av-thin-font'><h2 class='av-special-heading-tag'  itemprop="headline"  ><strong>DEXSAGE: Project uses innovative methods and statistical techniques to investigate the covariates of life satisfaction in late adulthood</strong></h2><div class='special-heading-border'><div class='special-heading-inner-border' ></div></div></div><br />
<section class="av_textblock_section"  itemscope="itemscope" itemtype="https://schema.org/BlogPosting" itemprop="blogPost" ><div class='avia_textblock  av_inherit_color'  style='font-size:16px; color:#333333; '  itemprop="text" ><p><strong>Older adults face many challenges in their daily lives, including loss of health, loss of close friends and family members and related bereavement. Despite that, the reported satisfaction with life in general is higher for this population group that for their younger counterparts. This study investigates how older adults spend their days and how their daily activities are evaluated. It collects the data on randomly sample activities, including their subjective assessment: experiential wellbeing, stress and effort. This is accompanied by a detailed questionnaire collecting data on individual’s socioeconomic characteristics, health and wellbeing. </strong></p>
<p>This study used experience sampling method (ESM) to collect accounts of individuals’ activities including accompanying emotions. The dataset comprises of 1809 randomly sampled activities provided by 200 individuals aged 65 and above.</p>
<p>The data was collected between January and April 2020. Data cleaning took place immediately after the fieldwork was conducted. No imputations were carried out as i) the number of missing values for subjective states was low, and ii) missing values were random. Next, analyses were carried out to address the research questions. Thus far two research manuscripts were produced and additional analyses were conducted and will be included in the third manuscript. All manuscripts are solo-authored by the project’s principal investigator (PI).</p>
<p>The methodological innovation of this study is the fact that unlike most ESM-based studies which use ANOVA and related techniques, it employs multilevel models and generalized structural equation modelling to analyse repeated-measures data.</p>
<p>The study finds that accumulated experiential wellbeing predicts satisfaction with life in general, controlling for individuals’ socioeconomic background, health, and other affect measures.</p>
<p>Multilevel mixed effects models using experiential wellbeing as outcome variable show that importance attached to activities forms a positive relationship with experiential wellbeing, effort forms an inverted U-shaped association, and stress forms an inverse association. Activities associated with greatest enjoyment were spiritual practice, childcare, and social life.</p>
<p>This study points to the importance of daily activities for older adults’ evaluative wellbeing and comes up with practical implications for policy makers, practitioners and older adults.</p>
<p>Further articles will address the issues of: i) time organization by older adults and its association with the Valuation of Life (VOL); lifestyle differentiation in this population group and its association with particular aspects of health as measured in the Nottingham Health Profile.</p>
<p>Following the articles, the PI will produce research reports for the general audience.</p>
<h3><a name="_Toc55971169"></a><a name="_Toc70337611"></a>References</h3>
<p>The dataset is available at:</p>
<p>Jarosz. E. (2020). DEXSAGE Daily Experiences of Successful Ageing (Version v1) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.4017865</p>
<p>Publications (forthcoming):</p>
<p>Jarosz, E. (2021). What makes life enjoyable at an older age? Experiential wellbeing, daily activities, and satisfaction with life in general. <em>Aging &amp; Mental Health</em>, [online first]. DOI: 10.1080/13607863.2021.1916879</p>
<h3>Keywords</h3>
<p>Wellbeing, older adults, satisfaction with life, experiences, daily activities</p>
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		<title>DEXSAGE: Daily Experiences of Successful Ageing project has started</title>
		<link>https://www.synyo.com/news/dexsage-daily-experiences-of-successful-ageing-project-has-started/</link>
		
		<dc:creator><![CDATA[leo]]></dc:creator>
		<pubDate>Thu, 01 Aug 2019 08:39:12 +0000</pubDate>
				<category><![CDATA[DEXSAGE]]></category>
		<category><![CDATA[News]]></category>
		<category><![CDATA[news]]></category>
		<guid isPermaLink="false">https://www.synyo.com/?p=9575</guid>

					<description><![CDATA[<p>The post <a href="https://www.synyo.com/news/dexsage-daily-experiences-of-successful-ageing-project-has-started/">DEXSAGE: Daily Experiences of Successful Ageing project has started</a> appeared first on <a href="https://www.synyo.com">SYNYO GmbH</a>.</p>
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<div style='padding-bottom:0px;' class='av-special-heading av-special-heading-h2  blockquote modern-quote  av-thin-font'><h2 class='av-special-heading-tag'  itemprop="headline"  ><strong>DEXSAGE: Daily Experiences of Successful Ageing project has started</strong></h2><div class='special-heading-border'><div class='special-heading-inner-border' ></div></div></div><br />
<section class="av_textblock_section"  itemscope="itemscope" itemtype="https://schema.org/BlogPosting" itemprop="blogPost" ><div class='avia_textblock  av_inherit_color'  style='font-size:16px; color:#333333; '  itemprop="text" ><p><a name="_Toc55971155"></a><strong>This project will collect and analyse new and unique data on the objective and subjective characteristics of events within older individuals’ daily time-use patterns. Day-to-day experiences along with their subjective evaluation shape older adults’ quality of life and determine their valuation of life and subjective well-being. The project aspires to be a benchmark study using new data collection techniques and a new methodological approach that gives voice to the respondents.</strong></p>
<p>In 2030 nearly 30% of the European population will be aged 60 and above. Population ageing has been identified by the European Commission as one of the social challenges of the 21st century. However, ageing does not mean an inevitable decline of abilities and detachment from active life. Furthermore, social and environmental context is no less important for enjoying later life than physical health. The concept of Successful Ageing has emerged through empirical research on how successfully individuals can cope with increasing limitations and challenges inherent to older age.</p>
<p>Everyday activities play an essential role in older adults’ quality of life and successful ageing. Scholarly models of successful ageing typically comprise the following components: physical health as measured by low risk of disease or disability; good mental and physical function; and continued engagement with life, including relations with others and productive activity (Rowe &amp; Khan 1998). These overlap with what senior citizens see as detrimental to their quality of life, but in their case ,the emphasis is placed on different factors. According to the study based on the British Quality of Life Survey (Gabriel &amp; Bowling 2004), these are the following: social relations, living in a safe and pleasant home and neighbourhood with good local facilities, access to quality transportation, solo hobbies and leisure activities, and social and community activities.</p>
<p>Individual’s Valuation of Life (VOL), or, in other words, how long they would like to live, is also strongly associated with people’s daily activities: ‘The way that old people behave and evaluate their time use has emerged (…) as a central aspect of quality-of-life mediating changes in VOL’ (Moss, et al. 2007).</p>
<p>This project uses advanced statistical methods to analyse objective and subjective accounts of everyday experiences of adults aged 65+ and link them with daily structures of time-use, quality of life, and psychosocial wellbeing. It uses time-use methodology, but unlike standard time-use surveys, it does not sample entire sequences but randomly selected events over the day. The detailed behavioural data is then analysed jointly with end-of-the-day reports. End-of-the-day accounts include information on general subjective well-being over a given day as well as on temporal anchors that is events around which individuals have planned other daily activities. This study gives voice to the respondents and asks not only about their experiences but also what they mean to them and whether they are a meaningful way of spending their time.</p>
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<div class='avia-image-container  av-styling-   avia-align-center '  itemscope="itemscope" itemtype="https://schema.org/ImageObject"  ><div class='avia-image-container-inner'><img class='avia_image ' src='https://www.synyo.com/wp-content/uploads/NEW01004701EN-Image-1.png' alt='' title='NEW01004701EN Image 1'   itemprop="thumbnailUrl"  /></div></div><br />
<div class='avia-image-container  av-styling-   avia-align-center '  itemscope="itemscope" itemtype="https://schema.org/ImageObject"  ><div class='avia-image-container-inner'><img class='avia_image ' src='https://www.synyo.com/wp-content/uploads/NEW01004701EN-Image-2-300x28.png' alt='' title='NEW01004701EN Image 2'   itemprop="thumbnailUrl"  /></div></div><br />
<section class="av_textblock_section"  itemscope="itemscope" itemtype="https://schema.org/BlogPosting" itemprop="blogPost" ><div class='avia_textblock  av_inherit_color'  style='font-size:16px; color:#333333; '  itemprop="text" ><p style="text-align: center;"><em>Fig 1. Time-use sequences by time point (24 hours account). EJ’s computations.</em></p>
<h3><a name="_Toc55971156"></a><a name="_Toc68852040"></a>Project objectives</h3>
<p>This study aims to investigate</p>
<p><a name="_Toc55971157"></a>1) how older adults organize their days,</p>
<p>2) how particular daily events are experienced by them, and</p>
<p>3) how objective events and their subjective evaluation are linked with individual’s sociodemographic characteristics and their subjective wellbeing (SWB)</p>
<p>The activity theory of ageing states that maintaining active involvement in daily life allows older adults enjoying their later life and boosts their wellbeing and sense of connectedness. Thus far little is known about how older adults organize their time, adapt to changes and their increasing limitations, as well as about they redefine their social roles through what they do every single day. Meanwhile, ultimately it is daily behaviours that make life worth living for many older adults (Moss et al. 2007). Exploring the meaning, outcomes and covariates of those behaviours is the overarching objective of this study.</p>
<h3><a name="_Toc68852041"></a>PI’s bio</h3>
<p>Ewa obtained her PhD in 2015 from the Institute of Philosophy and Sociology of the Polish Academy of Sciences. Prior to her Marie Curie fellowship at SYNYO she was a postdoctoral fellow in the Centre for Time Use Research at the University of Oxford, UK, and a graduate Fulbright researcher at the Department of Sociology, University of Maryland.</p>
<p>She decided to do her MSCA in SYNYO because of the company’s focus on older adults and its expertise in new research techniques such as smartphone-based data collection.</p>
<p>Ewa’s research interests include time use, temporal perspective, ageing, social inequality, health and subjective wellbeing. Her publications are available at: https://scholar.google.pl/citations?user=h2iAZQMAAAAJ&amp;hl=en</p>
<h3><a name="_Toc68852042"></a>References</h3>
<p>Gabriel, Z., &amp; Bowling, A. (2004). Quality of life from the perspectives of older people. Ageing &amp; Society 24, 675-691.</p>
<p>Moss, M.,S., Hoffman, Ch., J., Mossey, J., Rovine, M. (2007). Changes Over 4 Years in Health, Quality of Life, Mental Health, and Valuation or Life. Journal of Ageing &amp; Health 19(6), 1025-1044.</p>
<p>Rowe, J. W., &amp; Khan, R. L. (1998). Successful aging. New York, NY: Pantheon Books.</p>
<h3><a name="_Toc68852043"></a>Keywords</h3>
<p>Successful ageing, subjective wellbeing, older adults, time use, Experience Sampling Method</p>
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