This dataset contains all data from the Growing Roots Project, a create health project funded by ZonMW.Within this folder you find raw data aquired in the Growing Roots project. - DataLaboratoryExperiment.sav is the SPSS file with the raw data of the Laboratory Experiment which is published: van Houwelingen-Snippe, J., van Rompay, T. J., de Jong, M. D., & Ben Allouch, S. (2020). Does digital nature enhance social aspirations? An experimental study. International journal of environmental research and public health, 17(4), 1454. - DataQuantitativeStudyMTurk55+.sav is the SPSS file with the raw data of the survey study for adults aged 55 years or older. The article written on this data has been accepted for publication in Journal of Ageing & Society. - DataSurveyStudyCovid19.sav is the SPSS file with the raw data of the survey study that has been conducted during the first lockdown of Covid 19 and has been published: van Houwelingen-Snippe, J., van Rompay, T. J., & Ben Allouch, S. (2020). Feeling connected after experiencing digital nature: A survey study. International journal of environmental research and public health, 17(18), 6879. - Interview study 2021 transcripts Dutch.rar contains all anonymized transcripts of the interview study that has been conducted in 2021 amongst older adults. - QuantitativeDataInterviewStudy2021.sav contains all raw quantitative data collected during the interview study in 2021. - Transcripts Focus Groups.rar contains all anonymized transcripts of the focus groups. The article written on this data has been accepted for publication in Journal of Ageing & Society. Date: 2021-11-22 Date Submitted: 2021-11-22

It is generally believed that intergenerational coresidence by elderly parents and adult children provides old-age security for parents. Although such coresidence is still the most common living arrangement in many countries, empirical evidence of its benefits to parental health is scarce. Using Indonesian data and a program evaluation technique that accounts for non-random selection and heterogeneous treatment effect, we find robust evidence of a negative coresidence effect. We also find heterogeneity in the coresidence effect. Socially active elderly parents are less likely to be in coresidence, and when they do live with a child they experience a better coresidence effect.

This comprises the data and materials for the study: Wallace E, Moriarty F, McGarrigle C, Smith SM, Kenny RA, Fahey T. (2018) Self-report versus electronic medical record recorded healthcare utilisation in older community-dwelling adults: Comparison of two prospective cohort studies. PLOS ONE 13(10): e0206201. https://doi.org/10.1371/journal.pone.0206201

The anonymised TILDA dataset is publicly available to researchers who meet the criteria for access, at no monetary cost, from the Irish Social Science Data Archive (ISSDA) at University College Dublin (http://www.ucd.ie/issda/data/tilda/) and the Interuniversity Consortium for Political and Social Research (ICPSR) at the University of Michigan (http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/34315). For the CPCR cohort, no provision for data sharing was included in the original ethical approval and participant consent form. As a minimal data set necessary to replicate the present study could not be deidentified due to the large number of demographic variables considered, a synthetic version of the study dataset was produced using the synthpop package in R: https://cran.r-project.org/web/packages/synthpop/index.html. This dataset and the analytical code for the present study are presented here. Code developed on the synthetic data can be sent to frankmoriarty@rcsi.ie or enquiries.cpcr@rcsi.ie to be run on the original data.

v1.2 includes a more detailed description of how the dataset was synthesised.

Abstract Objective : To reveal children’s perceptions about the social identity of older adults. Methods : A qualitative and exploratory-descriptive study was carried out with 17 children enrolled in the 4th year of elementary education of a private educational institution located in southern Brazil. For data collection, a semi-structured individual interview was used, together with graphic elucidation and storytelling, the audio of which was recorded, transcribed in full and analyzed by lexical analysis using the IRaMuTeQ® software, based on the Descending Hierarchical Classification. The Social Identity proposed by Berger and Luckmann was used as an analytical reference. Results : Six classes emerged, revealing that the children attribute dependency to the older adults, with aging reduced to a phase of weaknesses and limitations, but opportune for leisure. The health conditions of the older adults were related to the natural wear of aging and the results of previous choices, from healthy habits perpetuated throughout life. Conclusion : The social identity of the older adults from the perception of children is linked to senescence and senility that alter daily life in an adaptable but natural manner.

ABSTRACT Objectives: to analyze factors associated, directly and indirectly, with lower social support of older adults, according to sex. Methods: a cross-sectional study, with 941 older adults from a health micro-region in Minas Gerais. Descriptive and trajectory analyzes were carried out (p

Social vulnerability is defined as the disproportionate susceptibility of some social groups to the impacts of hazards, including death, injury, loss, or disruption of livelihood. In this dataset from Climate Ready Boston, groups identified as being more vulnerable are older adults, children, people of color, people with limited English proficiency, people with low or no incomes, people with disabilities, and people with medical illnesses. Source:The analysis and definitions used in Climate Ready Boston (2016) are based on "A framework to understand the relationship between social factors that reduce resilience in cities: Application to the City of Boston." Published 2015 in the International Journal of Disaster Risk Reduction by Atyia Martin, Northeastern University.Population Definitions:Older Adults:Older adults (those over age 65) have physical vulnerabilities in a climate event; they suffer from higher rates of medical illness than the rest of the population and can have some functional limitations in an evacuation scenario, as well as when preparing for and recovering from a disaster. Furthermore, older adults are physically more vulnerable to the impacts of extreme heat. Beyond the physical risk, older adults are more likely to be socially isolated. Without an appropriate support network, an initially small risk could be exacerbated if an older adult is not able to get help.Data source: 2008-2012 American Community Survey 5-year Estimates (ACS) data by census tract for population over 65 years of age.Attribute label: OlderAdultChildren: Families with children require additional resources in a climate event. When school is cancelled, parents need alternative childcare options, which can mean missing work. Children are especially vulnerable to extreme heat and stress following a natural disaster.Data source: 2010 American Community Survey 5-year Estimates (ACS) data by census tract for population under 5 years of age.Attribute label: TotChildPeople of Color: People of color make up a majority (53 percent) of Boston’s population. People of color are more likely to fall into multiple vulnerable groups aswell. People of color statistically have lower levels of income and higher levels of poverty than the population at large. People of color, many of whom also have limited English proficiency, may not have ready access in their primary language to information about the dangers of extreme heat or about cooling center resources. This risk to extreme heat can be compounded by the fact that people of color often live in more densely populated urban areas that are at higher risk for heat exposure due to the urban heat island effect.Data source: 2008-2012 American Community Survey 5-year Estimates (ACS) data by census tract: Black, Native American, Asian, Island, Other, Multi, Non-white Hispanics.Attribute label: POC2Limited English Proficiency: Without adequate English skills, residents can miss crucial information on how to preparefor hazards. Cultural practices for information sharing, for example, may focus on word-of-mouth communication. In a flood event, residents can also face challenges communicating with emergency response personnel. If residents are more sociallyisolated, they may be less likely to hear about upcoming events. Finally, immigrants, especially ones who are undocumented, may be reluctant to use government services out of fear of deportation or general distrust of the government or emergency personnel.Data Source: 2008-2012 American Community Survey 5-year Estimates (ACS) data by census tract, defined as speaks English only or speaks English “very well”.Attribute label: LEPLow to no Income: A lack of financial resources impacts a household’s ability to prepare for a disaster event and to support friends and neighborhoods. For example, residents without televisions, computers, or data-driven mobile phones may face challenges getting news about hazards or recovery resources. Renters may have trouble finding and paying deposits for replacement housing if their residence is impacted by flooding. Homeowners may be less able to afford insurance that will cover flood damage. Having low or no income can create difficulty evacuating in a disaster event because of a higher reliance on public transportation. If unable to evacuate, residents may be more at risk without supplies to stay in their homes for an extended period of time. Low- and no-income residents can also be more vulnerable to hot weather if running air conditioning or fans puts utility costs out of reach.Data source: 2008-2012 American Community Survey 5-year Estimates (ACS) data by census tract for low-to- no income populations. The data represents a calculated field that combines people who were 100% below the poverty level and those who were 100–149% of the poverty level.Attribute label: Low_to_NoPeople with Disabilities: People with disabilities are among the most vulnerable in an emergency; they sustain disproportionate rates of illness, injury, and death in disaster events.46 People with disabilities can find it difficult to adequately prepare for a disaster event, including moving to a safer place. They are more likely to be left behind or abandoned during evacuations. Rescue and relief resources—like emergency transportation or shelters, for example— may not be universally accessible. Research has revealed a historic pattern of discrimination against people with disabilities in times of resource scarcity, like after a major storm and flood.Data source: 2008-2012 American Community Survey 5-year Estimates (ACS) data by census tract for total civilian non-institutionalized population, including: hearing difficulty, vision difficulty, cognitive difficulty, ambulatory difficulty, self-care difficulty, and independent living difficulty. Attribute label: TotDisMedical Illness: Symptoms of existing medical illnesses are often exacerbated by hot temperatures. For example, heat can trigger asthma attacks or increase already high blood pressure due to the stress of high temperatures put on the body. Climate events can interrupt access to normal sources of healthcare and even life-sustaining medication. Special planning is required for people experiencing medical illness. For example, people dependent on dialysis will have different evacuation and care needs than other Boston residents in a climate event.Data source: Medical illness is a proxy measure which is based on EASI data accessed through Simply Map. Health data at the local level in Massachusetts is not available beyond zip codes. EASI modeled the health statistics for the U.S. population based upon age, sex, and race probabilities using U.S. Census Bureau data. The probabilities are modeled against the census and current year and five year forecasts. Medical illness is the sum of asthma in children, asthma in adults, heart disease, emphysema, bronchitis, cancer, diabetes, kidney disease, and liver disease. A limitation is that these numbers may be over-counted as the result of people potentially having more than one medical illness. Therefore, the analysis may have greater numbers of people with medical illness within census tracts than actually present. Overall, the analysis was based on the relationship between social factors.Attribute label: MedIllnesOther attribute definitions:GEOID10: Geographic identifier: State Code (25), Country Code (025), 2010 Census TractAREA_SQFT: Tract area (in square feet)AREA_ACRES: Tract area (in acres)POP100_RE: Tract population countHU100_RE: Tract housing unit countName: Boston Neighborhood

Additional file 2.

This study database derives from Nutrition UP 65 study main database. The association between 25(OH)D levels, frailty status and obesity indices in older adults was evaluated. This database was prepared according to the recommendations of the following article: "Hrynaszkiewicz Iain, Norton Melissa L, VickersAndrew J, Altman Douglas G. Preparing raw clinical data for publication: guidance for journal editors, authors, and peer reviewers BMJ 2010; 340:c181".

This study aimed to clarify the association between the use of Information and Communication Technology (ICT) and activeness in life among community-dwelling older adults. A self-administered, unmarked questionnaire survey was conducted among individuals aged 60 years or older who were registered with Silver Human Resource Centers or Senior citizen clubs in a city in Osaka Prefecture. The survey collected data on participants, demographic characteristics, health status, ICT use, and activeness in life (particularly expansion of life space, exercise habits, motivation, and social activities). ICT use was defined as the use of any mobile devices to connect to the Internet, such as smartphones, tablets, or wearable devices. A logistic regression analysis was performed to estimate the association between ICT use and activeness in life after adjusting for confounding factors. A total of 892 responses were used in the analysis. The results revealed that the odds ratios (ORs) for expansion of life space (1.84) and motivation (2.17) were significantly higher for the group of participants using ICT use than for the group of participants not using ICT. In contrast, ICT use was not associated with exercise habits and social activities. Overall, this study clarified that ICT use is significantly associated with the expansion of life space and motivation among community-dwelling older adults. In particularly, ICT use may increase mental activity, inferred from the highest OR value for motivation noted in the current results. In conclusion, ICT use can enhance activeness in life among community-dwelling older adults.

Abstract This was a quantitative, retrospective, correlational, cross-sectional study that aimed to provide normative CDT (Clock-Drawing Test) data for older adults, taking into account different age groups and educational levels. The sample included 235 older adults distributed among five age groups and four levels of education. The instruments were Sociodemographic Data Sheet, the Mini-Mental State Examination (MMSE), the Geriatric Depression Scale reduced version (GDS-15), the Semantic Verbal Fluency Task (TFVS), and the CDT. Descriptive statistics, Pearson’s correlation, and univariate analysis (one-way ANOVA) with Scheffe post hoc were used. The CDT scores showed significant associations with age, years of schooling, MMSE, TFVS, and GDS-15. There was a difference in performance in CDT when considering age groups. The present study was able to provide normative values for CDT in a sample of older adults in southern Brazil that were influenced by age, education, depressive symptoms, and verbal fluency.

Abstract The population aging that has arisen from Brazil’s new demographic and epidemiological reality, a relatively recent phenomenon, requires innovative and efficient responses. This article presents a care model for the older population with the most contemporary comprehensive care and an excellent cost-benefit ratio. The proposal is aimed at health promotion, disease prevention and the coordination of care, with an emphasis on low complexity instances of care. The integrated models seek to solve the problem of fragmented and poorly coordinated care in current health systems. For this reason, we propose a low complexity care unit, an epidemiological assessment, a social center and a team formed by a pair of medical and nursing professionals, with the support of gerontologists. There will also be medical records that cover clinical and social aspects, as well as a quality information system - all involving advanced technology, accessible by doctors and clients at any time via cloud technology and a cell phone app. The more the healthcare professional knows their patient’s history, the better the results. The concepts and structure that underlie this model, which aims to reduce waste, offering greater quality at reduced cost, are set out. It is our contribution to benefit - be it in the public or supplementary sector - health care aimed at the fastest growing age group in Brazil.

Data were collected from all participants at two different time points. Pre-isolation data were collected from participants between the dates of September 10, 2019 and April 6, 2020. Follow-up surveys were all completed once social isolation started between April 20 and May 20, 2020, with the majority (90%, N = 56) of participant surveys being completed between May 4 and May 10, 2020. Questionnaires were administered using Research Electronic Data Capture (REDcap) hosted at the University of South Carolina online, or by mail, if requested. In addition to providing basic demographic data, participants completed a number of qualitative and quantitative measures prior to and following social isolation. Quality of Life Inventory (QOLI®) was used to measure changes in overall perceived quality of life, as well as changes in four factors of quality of life, achievement (QOLIACH), self-expression (QOLISEP), relationships (QOLIREL) and surroundings (QOLISUR) identified in earlier research. Total QOLI scores prior to isolation (QOLITOTPRE) as well as QOLI scores post isolation (QOLITOTPOST) were used to calculate a difference score (QOLITOTDIFF) representing the change from pre to post assessment (i.e. QOLIPOST - QOLIPRE). Longitudinal changes in the four QOLI factors (QOLIACHDIFF, QOLISEPDIFF, QOLIRELDIFF and QOLISURDIF) were calculated in the same way (post - pre). Thus, QOLITOTDIFFscores which were negative, represented longitudinal declines in QOLI, whereas QOLITOTDIFF difference scores which were positive represented longitudinal increases in QOLI. The extent to which participants were engaging in physical activity at both timepoints was assessed using the Physical Activity Scale for the Elderly (PASE). Physical and mental health, as represented by the physical and mental health summary scores, were assessed using the PROMIS®-29 Profile V20. For the PACE, physical and mental health scales, we used both pre-isolation scores (PACETOTPRE, PROMISPHTOTPRE, PROMISMHTOTPRE) and difference scores (PACETOTDIFF, PROMISPHTOTDIFF, PROMISTOTDIFF, calculated as post-pre scores) in our analysis. Participants also filled out relevant PROMIS-29 subscales, including the social isolation, emotional support, ability to participate and instrumental support subscales. Finally, the 3-Item Loneliness Scale provided a measure of feelings of loneliness, a construct distinct from – but related to – feelings of social isolation. For all quantitative measures, except the loneliness scale, higher numbers were considered to be better. Correlations were computed using the R software Package for a Fast Calculation to Semi-partial Correlation Coefficients Communications for Statistical Application and Methods.

Aging Brain Cohort at UofSC: https://abc.sc.edu Newman-Norlund, R.D., Newman-Norlund, S.E., Sayers, S., Nemati, S., Riccardi, N., Rorden, C., Fridriksson, J. 2021. “The Aging Brain Cohort (ABC) Repository: The University of South Carolina’s Multimodal Lifespan Database for Studying the Relationship between the Brain, Cognition, Genetics and Behavior in Healthy Aging.” NeuroImage Reports.Newman-Norlund, R.D., Newman-Norlund, S.E., Sayers, S., Nemati, S., Riccardi, N., Rorden, C., Fridriksson, J. 2021. “The Aging Brain Cohort (ABC) Repository: The University of South Carolina’s Multimodal Lifespan Database for Studying the Relationship between the Brain, Cognition, Genetics and Behavior in Healthy Aging.” NeuroImage Reports.

QOLI:
Frisch, M.B. (2014). Quality-of-Life-Inventory. In: Michalos, A.C. (eds) Encyclopedia of Quality of Life and Well-Being Research. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-0753-5_2371

QOLI subdomains: O'Cleirigh, C., & Safren, S. A. (2006). Domains of life satisfaction among patients living with HIV: A factor analytic study of the quality of life inventory. AIDS and behavior, 10(1), 53–58. https://doi.org/10.1007/s10461-005-9027-9

PASE: Logan, S. L., Gottlieb, B. H., Maitland, S. B., Meegan, D., & Spriet, L. L. (2013). The Physical Activity Scale for the Elderly (PASE) questionnaire; does it predict physical health?. International journal of environmental research and public health, 10(9), 3967–3986. https://doi.org/10.3390/ijerph10093967

PROMIS 29 Profile V 20: Cella, D., Riley, W., Stone, A., Rothrock, N., Reeve, B., Yount, S., Amtmann, D., Bode, R., Buysse, D., Choi, S., Cook, K., Devellis, R., DeWalt, D., Fries, J. F., Gershon, R., Hahn, E. A., Lai, J. S., Pilkonis, P., Revicki, D., Rose, M., … PROMIS Cooperative Group (2010). The Patient-Reported Outcomes Measurement Information System (PROMIS) developed and tested its first wave of adult self-reported health outcome item banks: 2005-2008. Journal of clinical epidemiology, 63(11), 1179–1194. https://doi.org/10.1016/j.jclinepi.2010.04.011

Demographic data of older adult aging in place and migrant groups.

Abstract Gait speed (GS) can predict adverse health outcomes. However, an understanding of its associated factors is still limited and with some controversy. The objective of this study was to identify adverse health outcomes related to the decline in gait speed in community-dwelling older adults. This is a cross-sectional study that evaluated records of chronic diseases and hospitalization in the last year, polypharmacy, and gait speed. Logistic regression analysis was used to estimate the effects of each independent variable on the chance of older adults presenting a decline in gait speed (GS

Socio-demographic and economic profile of older adults in India, 2017–18.

Physical and biological characteristics of older adults by sex and age group.

Note.*p < .05,**p < .01,***p < .001.Bivariate correlations are presented below the diagonal. The partial correlation between multiple group membership and personal self-esteem (controlling for Socio-Economic Status) is reported above the diagonal. Correlations are based on sample sizes varying from N = 109 to N = 124.Study 1b: Descriptive statistics and bivariate correlations for older adults in China.

Wearable devices have the potential to promote a healthy lifestyle; however, studies on the use of wearable devices in monitoring health in older adults are limited. We aimed to investigate the relationship of sleep and activity data with health status among older adults. Fifty-five community-dwelling older adults were asked to wear a wristwatch-type wearable device (the Pulsense [PS]) and measure home blood pressure (HBP) over a period of 5–7 consecutive days. Deep-sleep duration, physical and mental activity duration, and body-movement duration were obtained from PS data using special software. We also collected data on demographics and physical and mental health status. We found that the body-movement duration in women was longer than that in men. Among men, body-movement duration was strongly and negatively correlated with the Kihon Checklist (KCL) score. It also showed moderate correlations with the Geriatric Depression score, physical functioning, bodily pain, vitality, social function, and role emotional scores from the Medical Outcomes Survey Short Form-8 questionnaire, as well as with hand-grip strength. There was no significant correlation between monitoring data and health status in women. In the multiple linear regression analysis, body-movement duration was negatively associated with age and the KCL score. KCL is a common questionnaire for screening frailty in Japan. Our results showed that body-movement duration was negatively associated with age and the KCL score, suggesting the potential of PS in guiding personalized health management of older community-dwelling adults with risks of frailty.

Frequency of solicited adverse reactions (AR) 7 days post-vaccination in older adults (≥60 years).

BackgroundIntegrated care models aim to solve the problem of fragmented and poorly coordinated care in current healthcare systems. These models aim to be patient-centered by providing continuous and coordinated care and by considering the needs and preferences of patients. The objective of this study was to evaluate the opinions and experiences of community-living older adults with regard to integrated care and support, along with the extent to which it meets their health and social needs.MethodsSemi-structured interviews were conducted with 23 older adults receiving integrated care and support through “Embrace,” an integrated care model for community-living older adults that is based on the Chronic Care Model and a population health management model. Embrace is currently fully operational in the northern region of the Netherlands. Data analysis was based on the grounded theory approach.ResultsResponses of participants concerned two focus areas: 1) Experiences with aging, with the themes “Struggling with health,” “Increasing dependency,” “Decreasing social interaction,” “Loss of control,” and “Fears;” and 2) Experiences with Embrace, with the themes “Relationship with the case manager,” “Interactions,” and “Feeling in control, safe, and secure”. The prospect of becoming dependent and losing control was a key concept in the lives of the older adults interviewed. Embrace reinforced the participants’ ability to stay in control, even if they were dependent on others. Furthermore, participants felt safe and secure, in contrast to the fears of increasing dependency within the standard care system.ConclusionThe results indicate that integrated care and support provided through Embrace met the health and social needs of older adults, who were coping with the consequences of aging.