1,723,627 research outputs found
Preparing for COVID-19 vaccination: important learnings from the Irish Longitudinal Study on Ageing (TILDA)
No full textThis report brings together important information on vaccinations among adults aged 60 years and older learned from the Irish Longitudinal Study on Ageing (TILDA), which can inform the rollout of COVID-19 vaccinations. The report describes: i. the prevalence of influenza vaccination among TILDA participants between 2016 and 2019; ii. (scientific evidence for the effect of prolonged physical activity on vaccine efficacy; iii. the levels of physical activity among TILDA participants who got the influenza vaccine; and iv. the news sources used during the COVID-19 pandemic and levels of trust in these sources among TILDA participants
The Irish Longitudinal Study on Ageing (TILDA) Wave 5, 2018
No full textTILDA collects information on all aspects of health, economic and social circumstances from adults aged 50 years and over resident in Ireland. Waves of data collection take place every two years. TILDA provides a comprehensive and accurate picture of the characteristics, needs and contributions of older persons in Ireland to inform and support improvements in policy and practice; advancements in technology and innovation; tailored education and training through an enhanced ageing research infrastructure; harmonisation with leading international research to ensure adoption of best policy and practice and comparability of results. TILDA is necessary to act as the foundation on which we can plan appropriate health, medical, social and economic policies for our older adults. Wave 5 dataset: v5.6 The version 5.6 PMF dataset includes data from the 4,978 TILDA respondents who completed a fifth interview during the Wave 5 fieldwork. Data from any respondents who were new at Wave 5, respondents who had passed away between the waves and data from returning respondents who required a proxy interview have been removed (n=245) to protect anonymity. The dataset includes data from the home interview, the self-completion questionnaire and certain other variables derived from this data. More information on these derived variables can be found in the ‘Wave 5 Derived Variable Codebook’
The Irish Longitudinal Study on Ageing (TILDA) Wave 4, 2016
No full textTILDA collects information on all aspects of health, economic and social circumstances from adults aged 50 years and over resident in Ireland. Waves of data collection take place every two years. TILDA provides a comprehensive and accurate picture of the characteristics, needs and contributions of older persons in Ireland to inform and support improvements in policy and practice; advancements in technology and innovation; tailored education and training through an enhanced ageing research infrastructure; harmonisation with leading international research to ensure adoption of best policy and practice and comparability of results. TILDA is necessary to act as the foundation on which we can plan appropriate health, medical, social and economic policies for our older adults. Wave 4 dataset: v4.5 The version 4.5 PMF dataset includes data from the 5,713 TILDA respondents who completed a fourth interview during the Wave 4 fieldwork. Data from any respondents who were new at Wave 4, respondents who had passed away between the waves and data from returning respondents who required a proxy interview have been removed (n=262) to protect anonymity. The dataset includes data from the home interview, the self-completion questionnaire and certain other variables derived from this data. More information on these derived variables can be found in the ‘Wave 4 Derived Variable Codebook’
The Irish Longitudinal Study on Ageing (TILDA) Wave 2, 2012-2013
No full textTILDA collects information on all aspects of health, economic and social circumstances from adults aged 50 years and over resident in Ireland. Waves of data collection take place every two years. TILDA provides a comprehensive and accurate picture of the characteristics, needs and contributions of older persons in Ireland to inform and support improvements in policy and practice; advancements in technology and innovation; tailored education and training through an enhanced ageing research infrastructure; harmonisation with leading international research to ensure adoption of best policy and practice and comparability of results. TILDA is necessary to act as the foundation on which we can plan appropriate health, medical, social and economic policies for our older adults. Wave 2 dataset: version 2.8The version 2.8 PMF dataset includes data from 7,206 TILDA respondents who completed a second self-interview during the Wave 2 fieldwork. Data from any respondents who were new at Wave 2, respondents who had passed away between the waves and data from returning respondents who required a proxy interview have been removed (n=408) to protect anonymity. The dataset includes data from the home interview, the self-completion questionnaire and certain other variables derived from this data. More information on these derived variables can be found in the ‘Wave 2 Derived Variable Codebook’
The Irish Longitudinal Study on Ageing (TILDA) Wave 3, 2014-2015
No full textTILDA collects information on all aspects of health, economic and social circumstances from adults aged 50 years and over resident in Ireland. Waves of data collection take place every two years. TILDA provides a comprehensive and accurate picture of the characteristics, needs and contributions of older persons in Ireland to inform and support improvements in policy and practice; advancements in technology and innovation; tailored education and training through an enhanced ageing research infrastructure; harmonisation with leading international research to ensure adoption of best policy and practice and comparability of results. TILDA is necessary to act as the foundation on which we can plan appropriate health, medical, social and economic policies for our older adults. Wave 3 dataset: v3.7 The version 3.7 PMF dataset includes data from 6,397 TILDA respondents who completed a third interview during the Wave 3 fieldwork. Data from any respondents who were new at Wave 3, respondents who had passed away between the waves and data from returning respondents who required a proxy interview have been removed (n=115) to protect anonymity. The dataset includes data from the home interview, the self-completion questionnaire and certain other variables derived from this data. More information on these derived variables can be found in the ‘Wave 3 Derived Variable Codebook’. The new release contains selected data from the health assessment
The Irish Longitudinal study on Ageing (TILDA) COVID-19 Study, 2020
No full textTILDA collects information on all aspects of health, economic and social circumstances from adults aged 50 years and over resident in Ireland. Waves of data collection take place every two years. TILDA provides a comprehensive and accurate picture of the characteristics, needs and contributions of older persons in Ireland to inform and support improvements in policy and practice; advancements in technology and innovation; tailored education and training through an enhanced ageing research infrastructure; harmonisation with leading international research to ensure adoption of best policy and practice and comparability of results. TILDA is necessary to act as the foundation on which we can plan appropriate health, medical, social and economic policies for our older adults. Participants were invited to complete the COVID-SCQ to capture their experiences during the COVID-19 pandemic. This data collection was planned in response to the pandemic and took place during the time when Wave 6 fieldwork was originally scheduled to take place. The TILDA COVID-19 Study covers a range of aspects of the lives of adults aged 60 years and older during the first few months of the pandemic. As well as information on changes to normal day activities due to social-distancing and other restrictions on social interactions, we examine how these alterations to peoples’ lives have impacted on their physical and mental wellbeing. The study also records peoples’ exposure to the virus as well as that of their families and friends
The Irish Longitudinal Study on Ageing (TILDA) Wave 1, 2009-2011
No full textTILDA collects information on all aspects of health, economic and social circumstances from adults aged 50 years and over resident in Ireland. Waves of data collection take place every two years. TILDA provides a comprehensive and accurate picture of the characteristics, needs and contributions of older persons in Ireland to inform and support improvements in policy and practice; advancements in technology and innovation; tailored education and training through an enhanced ageing research infrastructure; harmonisation with leading international research to ensure adoption of best policy and practice and comparability of results. TILDA is necessary to act as the foundation on which we can plan appropriate health, medical, social and economic policies for our older adults. Wave 1 dataset: version 1.13The version 1.13 pseudonymised microdata file (PMF) dataset includes data from 8,501 TILDA participants interviewed at Wave 1. This includes data from 8,172 individuals aged 50 and over and 329 younger spouses or partners of participants. It includes data from the home interview, the self-completion questionnaire, selected data from the health assessment and certain other variables derived from these data. More information on these derived variables can be found in the ‘Wave 1 Derived Variable Codebook’
The Intellectual Disability Supplement to the Irish Longitudinal Study on Ageing (IDS-TILDA) Wave 5, 2023
No full textThe Intellectual Disability Supplement to the Irish Longitudinal Study on Ageing (IDS-TILDA) is a longitudinal study researching ageing in Ireland among people with an intellectual disability aged 40 and over. This study is the first of its kind in Europe, and the only study able to directly compare the ageing of people with an intellectual disability with the general ageing population. The underpinning values of IDS-TILDA are inclusion, choice, empowerment, person centred, the promotion of people with intellectual disability, the promotion of best practice and to contribute to the lives of people with intellectual disability. The objectives of IDS-TILDA are: To understand the health characteristics of people ageing with an intellectual disability; To examine the service needs and health service utilization of people ageing with an intellectual disability; To identify disparities in the health status of adults with an intellectual disability as compared to TILDA findings for the general population; and To support evidence-informed policies, practices and evaluation. IDS-TILDA completed its fifth Wave of data collection in 2023. A total of 762 participants completed the Computer Assisted Personal Interview (CAPI) at Wave 5, consisting of 621 participants who had previously taken part in Wave 4 and 141 newly recruited participants
The Irish Longitudinal Study on Ageing (TILDA) Wave 6, 2020-2023
No full textTILDA collects information on all aspects of health, economic and social circumstances from adults aged 50 years and over resident in Ireland. Waves of data collection take place every two years. TILDA provides a comprehensive and accurate picture of the characteristics, needs and contributions of older persons in Ireland to inform and support improvements in policy and practice; advancements in technology and innovation; tailored education and training through an enhanced ageing research infrastructure; harmonisation with leading international research to ensure adoption of best policy and practice and comparability of results. TILDA is necessary to act as the foundation on which we can plan appropriate health, medical, social and economic policies for our older adults. Wave 6 dataset: v6.1 The version 6.1 PMF is the first release of Wave 6 data for the public archive. This contains data from 4,095 respondents who completed a sixth interview during the Wave 6 fieldwork. Data from any respondents who were new at Wave 6, respondents who had passed away between the waves and data from returning respondents who required a proxy interview have been removed (n=225) to protect anonymity. Explicit consent was introduced in this wave for the first time, and those who did not consent to sharing their non-identifiable information with institutions within the EU are also excluded (n=12). The dataset includes data from the home interview, the self-completion questionnaire and certain other variables derived from this data. More information on these derived variables can be found in the ‘Wave 6 Derived Variable Codebook’
The Intellectual Disability Supplement to the Irish Longitudinal Study on Ageing (IDS-TILDA) Wave 1, 2010-2011
No full textThe Intellectual Disability Supplement to the Irish Longitudinal Study on Ageing (IDS-TILDA) is a longitudinal study researching ageing in Ireland among people with an intellectual disability aged 40 and over. This study is the first of its kind in Europe, and the only study able to directly compare the ageing of people with an intellectual disability with the general ageing population. The underpinning values of IDS-TILDA are inclusion, choice, empowerment, person centred, the promotion of people with intellectual disability, the promotion of best practice and to contribute to the lives of people with intellectual disability. The objectives of IDS-TILDA are: to understand the health characteristics of people ageing with an intellectual disability; to examine the service needs and health service utilization of people ageing with an intellectual disability; to identify disparities in the health status of adults with an intellectual disability as compared to The Irish Longitudinal Study on Ageing’s (TILDA) findings for the general population; and to support evidence-informed policies, practices and evaluation. IDS-TILDA provides much needed data on the health, social, economic and environmental circumstances of 753 people as they grow older and how their circumstances change over a period of time
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