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BACKGROUND: In 2020 the Swedish Government started a gradual raising of the retirement age, but employers have been silent on the issue. Little is known about whether and how they reflect on what it will mean for their organization, or whether they already have, or are going to, make arrangements in order to facilitate and motivate older workers to stay longer. OBJECTIVE: The aim of this study was to explore and describe managers' experiences of older workers and age management in connection with the increase of the retirement age in Sweden. METHODS: Data was collected through semi-structured interviews with fourteen managers from a broad set of organizations in the public and private sectors, and from the Middle and East of Sweden. The transcribed material was analysed in line with qualitative content analysis. RESULTS: The analysis ended up in seven main categories with associated sub-categories: Older Workers, Retirement Ages, Transition Initiatives, Competence Transfer, Competence Development, Increased Retirement Ages, Knowledge Gaps. CONCLUSION: Our findings reveal that there is an ambivalence in addressing the issue of age among the interviewed managers, what we have interpreted and labelled as "silent age discrimination", and it was shown that they do not have elaborated strategies for age management.

The function of an activity-guide is an innovative municipal collaborative support effort that fits well into the strategies for healthy ageing and person-centred care. The activity-guide mission is to be a support, a personal contact, for elderly who experience involuntary loneliness in daring to recommence or find new social contexts, such as physical, cultural or creative activities. Today we know that experienced involuntary loneliness over longer period of time not only affects the psychological well-being but also the physical health. Put into perspective, involuntary loneliness is refereed to be as strongly associated with premature death as smoking fifteen cigarettes a day. Simultaneously, we know that involuntary loneliness can be difficult to break by yourself, as perceived loneliness is often surrounded by feelings of shame. Fortunately, today there are good initiatives of collaborative support efforts to break the involuntary loneliness of elderly. One of these good initiatives is this collaborative project between Skövde Municipality and the University of Skövde where the aim is to contribute in development of the activity-guide function and collect data to evaluate the users’ perception and usefulness of the activity-guide function. The project is collecting both qualitative and quantitate data from elderly who have contact with the activity-guide. Preliminary data collected from individual-in-depth interviews with the elderly, shows that the activity-guide have a significant role in resuming or finding new social contexts. Concurrently, the preliminary results show that the elderly want more understanding and knowledge from healthcare providers about how involuntary loneliness affects their health and well-being. In the project, it is planned for focus-group interviews with the persons who are activity-guides in the municipalities that offer their residents this function. This projects knowledge can be used for a deeper understanding of what enables a

Background: Digitalization is seen as a necessity to manage the increasing burden on the health care system and is accordingly considered an important tool in the transformation to integrated care (Swedish Nära vård). However, when health care is digitalized older persons are at increased risk of being marginalized and dependent on others due to their generally lower digital competence. To address this, several Swedish municipalities offer individual support to older persons in their own home, a service called Digital Coach (DC). As this service is new, the aim is to describe older persons’ experiences of getting individual support with digital needs in the context of home. Method: Semi-structured interviews (n=14) were conducted with older persons who have had DC support in their home. The focus was on older persons’ experiences of the support. Data was analyzed with qualitative content analysis. Results, preliminary: The overall theme, to be a valued person in the digital society, represents a feeling of being taken seriously and worth investing resources in to gain access to society. Three categories emerged: (1) The need to keep up with the times which means to understand and navigate the new digital landscape with the opportunity for independence and participation, (2) Support and respect in the learning situation, is crucial for feeling comfortable to expose insufficient knowledge, and (3) Increased digital competence empowers autonomy and is manifested as the ability to handle the digital tools and services by your own creates a feeling of joy and satisfaction and increases the opportunity to participate in both social and community activities. Conclusion: The result shows that individual support with digital needs in the context of home increase digital competence in older persons and create feelings of being valued and included in the digital society, which can extend to integrated person-centered care.

An increasing number of older persons have complex health care needs. This, along with the organizational principle of remaining at home, emphasizes the need to develop collaborations among organizations caring for older persons. A health care model developed in Sweden, the Mobile Integrated Care Model aims to promote work in teams across organizations. The aim of the study was to describe nurses’ experiences in working and providing health care in the Mobile Integrated Care Model in the home with home health care physicians. Semi-structured interviews were conducted with 18 nurses and analyzed through qualitative content analysis. The method was compliant with the COREQ checklist. A mutually trusting collaboration with physicians, which formed person-centered care, created work satisfaction for the nurses. Working within the Mobile Integrated Care Model was negatively impacted by being employed by different organizations, lack of time to provide health care, and physicians’ person-centered work abilities., CC BY 4.0Corresponding author: Lina Hovlin, School of Health Sciences, University of Skövde, P.O. Box 408, SE-541 28 Skövde, Sweden. Email: lina.hovlin@his.seArticle first published online: December 21, 2021The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This study was supported by a grant from The Kamprad Family Foundation for Entrepreneurship, Research & Charity in Sweden (20190175). It was also supported by the School of Health Sciences, University of Skövde, Sweden; the Skaraborg Institute for Research and Development; The foundation in memory of Gösta Svensson.

Aims: There are few cohorts of type 1 diabetes that follow individuals over more than half a century in terms of health outcomes. The aim of this study was to examine associations between type 1 diabetes, diagnosed before age 18, and long-term morbidity and mortality, and to investigate whether cognitive ability plays a role in long-term morbidity and mortality risk. Methods: In a Swedish cohort, 120 men with type 1 diabetes and 469 without type 1 diabetes were followed between 18 and 77 years of age as regards morbidity and mortality outcomes, and impact of cognitive ability at military conscription for the outcomes. In Cox regression analyses and Kaplan-Meier analyses with log-rank tests, associations between diabetes and cognitive ability respectively, and outcomes (mortality, cardiovascular morbidity and diabetes complications) were investigated. Results: Men with type 1 diabetes suffered from dramatically higher mortality (HR 4.62, 95% CI: 3.56–5.60), cardiovascular mortality (HR 5.60, 95% CI: 3.27–9.57), and cardiovascular events (HR 3.97, 95% CI: 2.79–5.64) compared to men without diabetes. Higher cognitive ability at military conscription was associated with lower mortality in men without diabetes, but was not associated with any outcome in men with diabetes. Conclusions: In this historical cohort study with 60 years of follow-up time and a less effective treatment of diabetes than today, mortality rates and cardiovascular outcomes were high for men with type 1 diabetes. Morbidity or mortality did not differ between those that had low to normal or high cognitive ability among men with type 1 diabetes., CC BY-NC 4.0Correspondence Address: Dybjer, E.; Department of Clinical Sciences Malmö, Sweden; email: elin.dybjer@med.lu.seFirst published: 07 February 2022Funding informationthe Ernhold Lundström Foundation; The Anders Pålsson Foundation; Alzheimerfonden; the Regional Agreement on Medical Training and Clinical Research (ALF) between Skåne County Council and Lund University; Diabetesfonden; Novo Nordisk; Region Jönköpings läns; Vetenskapsrådet, Grant/Award Number: K2011- 65X- 20752- 04-6; Region Skåne

BACKGROUND: Epidemiological research on dementia is hampered by differences across studies in how dementia is classified, especially where clinical diagnoses of dementia may not be available. OBJECTIVE: We apply structural equation modeling to estimate dementia likelihood across heterogeneous samples within a multi-study consortium and use the twin design of the sample to validate the results. METHODS: Using 10 twin studies, we implement a latent variable approach that aligns different tests available in each study to assess cognitive, memory, and functional ability. The model separates general cognitive ability from components indicative of dementia. We examine the validity of this continuous latent dementia index (LDI). We then identify cut-off points along the LDI distributions in each study and align them across studies to distinguish individuals with and without probable dementia. Finally, we validate the LDI by determining its heritability and estimating genetic and environmental correlations between the LDI and clinically diagnosed dementia where available. RESULTS: Results indicate that coordinated estimation of LDI across 10 studies has validity against clinically diagnosed dementia. The LDI can be fit to heterogeneous sets of memory, other cognitive, and functional ability variables to extract a score reflective of likelihood of dementia that can be interpreted similarly across studies despite diverse study designs and sampling characteristics. Finally, the same genetic sources of variance strongly contribute to both the LDI and clinical diagnosis. CONCLUSION: This latent dementia indicator approach may serve as a model for other research consortia confronted with similar data integration challenges., CC BY-NC 4.0© 2022 – The authors. Published by IOS Press.Correspondence to: Margaret Gatz, Center for Economic and Social Research, University of Southern California, Los Angeles, CA, USA. Tel.: +1 213 740 2212; E-mail: gatz@usc.edu.Membership of the IGEMS consortium is provided at https://dornsife.usc.edu/labs/IGEMSThis work was supported by US National Institutes of Health (NIH) grants R01 AG060470 to MG and NLP and RF1 AG058068 to Pike, LaDu, and MG and a grant from the Alzheimer’s Association (AARF-17-505302) to CRB. HARMONY was supported by NIH grant R01AG08724 to MG. SATSA was supported by grants NIH R01 AG04563, R01 AG10175, the John D. and Catherine T. MacArthur Foundation Research Network on Successful Aging, the Swedish Council For Working Life and Social Research (FAS) (97:0147:1B, 2009-0795), and the Swedish Research Council (825-2007-7460, 825-2009-6141) to NLP. GENDER was supported by the MacArthur Foundation Research Network on Successful Aging to McClearn and The Axel and Margaret Ax:son Johnson’s Foundation, The Swedish Council for Social Research, and the Swedish Foundation for Health Care Sciences and Allergy Research to Malmberg. OCTO-Twin was supported by grant NIH R01 AG08861 to McClearn. OATS was funded by a National Health & Medical Research Council and Australian Research Council Strategic Award Grant of the Ageing Well, Ageing Productively Program (ID No. 401162), and NHMRC Project Grants (ID 1045325 and 1085606) to PS. OATS participant recruitment was facilitated through Twins Research Australia, a national resource in part supported by a Centre for Research Excellence Grant (ID: 1079102), from the National Health and Medical Research Council. We also acknowledge the contribution to this study of the OATS research team listed at https://cheba.unsw.edu.au/project/older-australian-twins-study. The Danish Twin Registry was supported by grants from The National Program for Research Infrastructure 2007 from th

BackgroundEpidemiological research on dementia is hampered by differences across studies in how dementia is classified, especially where clinical diagnoses of dementia may not be available.ObjectiveWe apply structural equation modeling to estimate dementia likelihood across heterogeneous samples within a multi-study consortium and use the twin design of the sample to validate the results.MethodsUsing 10 twin studies, we implement a latent variable approach that aligns different tests available in each study to assess cognitive, memory, and functional ability. The model separates general cognitive ability from components indicative of dementia. We examine the validity of this continuous latent dementia index (LDI). We then identify cut-off points along the LDI distributions in each study and align them across studies to distinguish individuals with and without probable dementia. Finally, we validate the LDI by determining its heritability and estimating genetic and environmental correlations between the LDI and clinically diagnosed dementia where available.ResultsResults indicate that coordinated estimation of LDI across 10 studies has validity against clinically diagnosed dementia. The LDI can be fit to heterogeneous sets of memory, other cognitive, and functional ability variables to extract a score reflective of likelihood of dementia that can be interpreted similarly across studies despite diverse study designs and sampling characteristics. Finally, the same genetic sources of variance strongly contribute to both the LDI and clinical diagnosis.ConclusionThis latent dementia indicator approach may serve as a model for other research consortia confronted with similar data integration challenges.

We tested the causality between education and smoking using the natural experiment of discordant twin pairs allowing to optimally control for background genetic and childhood social factors. Data from 18 cohorts including 10,527 monozygotic (MZ) and same-sex dizygotic (DZ) twin pairs discordant for education and smoking were analyzed by linear fixed effects regression models. Within twin pairs, education levels were lower among the currently smoking than among the never smoking co-twins and this education difference was larger within DZ than MZ pairs. Similarly, education levels were higher among former smoking than among currently smoking co-twins, and this difference was larger within DZ pairs. Our results support the hypothesis of a causal effect of education on both current smoking status and smoking cessation. However, the even greater intra-pair differences within DZ pairs, who share only 50% of their segregating genes, provide evidence that shared genetic factors also contribute to these associations.

While prior research has demonstrated a relationship between sleep and cognitive performance, how sleep relates to underlying genetic and environmental etiologies contributing to cognitive functioning, regardless of the level of cognitive function, is unclear. The present study assessed whether the importance of genetic and environmental contributions to cognition vary depending on an individual’s aging-related sleep characteristics. The large sample consisted of twins from six studies within the Interplay of Genes and Environment across Multiple Studies (IGEMS) consortium spanning mid- to late-life (Average age [Mage] = 57.6, range = 27–91 years, N = 7052, Female = 43.70%, 1525 complete monozygotic [MZ] pairs, 2001 complete dizygotic [DZ] pairs). Quantitative genetic twin models considered sleep duration as a primary moderator of genetic and environmental contributions to cognitive performance in four cognitive abilities (Semantic Fluency, Spatial-Visual Reasoning, Processing Speed, and Episodic Memory), while accounting for age moderation. Results suggested genetic and both shared and nonshared environmental contributions for Semantic Fluency and genetic and shared environmental contributions for Episodic Memory vary by sleep duration, while no significant moderation was observed for Spatial-Visual Reasoning or Processing Speed. Results for Semantic Fluency and Episodic Memory illustrated patterns of higher genetic influences on cognitive function at shorter sleep durations (i.e. 4 hours) and higher shared environmental contributions to cognitive function at longer sleep durations (i.e. 10 hours). Overall, these findings may align with associations of upregulation of neuroinflammatory processes and ineffective beta-amyloid clearance in short sleep contexts and common reporting of mental fatigue in long sleep contexts, both associated with poorer cognitive functioning., Published:21 June 2022IGEMS is supported by the National Institutes of Health Grants No. R01 AG037985, R56 AG037985, R01 AG059329, R01 AG060470, RF1 AG058068. SATSA was supported by grants R01 AG04563, R01 AG10175, the John D. and Catherine T. MacArthur Foundation Research Network on Successful Aging, the Swedish Council For Working Life and Social Research (FAS) (97:0147:1B, 2009-0795) and Swedish Research Council (825-2007-7460, 825-2009-6141). OCTO-Twin was supported by grant R01 AG08861. The Danish Twin Registry is supported by grants from The National Program for Research Infrastructure 2007 from the Danish Agency for Science and Innovation, the Velux Foundation and the US National Institute of Health (P01 AG08761). The Minnesota Twin Study of Adult Development and Aging was supported by NIA grant R01 AG06886. VETSA was supported by National Institute of Health grants NIA R01 AG018384, R01 AG018386, R01 AG022381, and R01 AG022982, and, in part, with resources of the VA San Diego Center of Excellence for Stress and Mental Health. The Cooperative Studies Program of the Office of Research & Development of the United States Department of Veterans Affairs has provided financial support for the development and maintenance of the Vietnam Era Twin (VET) Registry. This MIDUS study was supported by the John D. and Catherine T. MacArthur Foundation Research Network on Successful Midlife Development and by National Institute on Aging Grant AG20166.

Higher body mass and obesity are associated with bodily pain, and rates of chronic pain increase among older adults. Most past studies are cross-sectional, precluding determination of the temporal relationship between body mass and pain. A longitudinal study of body mass and pain among middle-aged adults found that higher body mass index (BMI) led to greater lower back pain. No longitudinal study of BMI and pain has been conducted among adults older than 70 years. This study used dual change score models to determine the directional relationship between BMI and bodily pain in a sample of middle-aged and older adults. Participants (n = 1889) from the Swedish Twin Registry (baseline age range 40-93 years) completed at least 1 nurse assessment of BMI and self-report ratings of pain interference and joint pain. Pain interference was not associated with BMI, but joint pain was analyzed in univariate and bivariate models, with dual change score models modeling the relationship of BMI and joint pain across age, both independently and as part of bivariate relationships. The results indicated a reciprocal relationship between BMI and joint pain, but joint pain generally led to changes in BMI. In addition, the relationship changed with age, until approximately age 80 years, increasing joint pain contributed to higher BMI, but after that time increasing joint pain contributed to lower BMI. In addition, sex differences in the relationship between BMI and pain appeared after age 70 years. Thus, joint pain contributes to changes in BMI among middle-aged and older adults, but the relationship may change by age and sex., Copyright © 2022 International Association for the Study of Pain

Data from the Interplay of Genes and Environment across Multiple Studies (IGEMS) consortium were used to examine predictions of different models of gene-by-environment interaction to understand how genetic variance in self-rated health (SRH) varies at different levels of financial strain. A total of 11,359 individuals from 10 twin studies in Australia, Sweden, and the United States contributed relevant data, including 2,074 monozygotic and 2,623 dizygotic twin pairs. Age ranged from 22 to 98 years, with a mean age of 61.05 (SD = 13.24). A factor model was used to create a harmonized measure of financial strain across studies and items. Twin analyses of genetic and environmental variance for SRH incorporating age, age(2), sex, and financial strain moderators indicated significant financial strain moderation of genetic influences on self-rated health. Moderation results did not differ across sex or country. Genetic variance for SRH increased as financial strain increased, matching the predictions of the diathesis-stress and social comparison models for components of variance. Under these models, environmental improvements would be expected to reduce genetically based health disparities.

Background: Combining National Quality Registries (NQRs) with existing National Health Registries (NHRs) might make it possible to get a wider picture of older adults health situation. The aim was to examine the feasibility of aggregating data across different NQRs and existing NHRs to explore the possibility to investigate trajectories and patterns of disease and care, specifically for the most ill older adults. Method: A Swedish twin population (N = 44,816) was linked to nine NQRs and four NHRs. A descriptive mixed-method study was performed. A manifest content analysis identified which health parameters were collected from each NQR. Factor analysis identified patterns in representation across NQRs. Two case studies illustrated individual trajectories of care by using NQRs and NHRs. Results: About 36% of the population was registered in one or more NQRs. NQRs included 1849 variables that were sorted into 13 categories with extensive overlap across the NQRs. Health and function variables were identified, but few social or cognitive variables. Even though most individuals demonstrated unique patterns of multi-morbidities, factor analysis identified three clusters of representation in the NQRs with sufficient sample sizes for future investigations. The two cases illustrated the possibility of following patterns of disease and trajectories of care. Conclusions: NQRs seem to be a significant source for collecting data about a population that may be underrepresented in most research on aging because of their age and poor health. However, NQRs are primarily disease related, and further development of the registries to maximize coverage and utility is needed., CC BY 4.0Published online: 13 June 2020

BACKGROUND: frailty shows an upward trajectory with age, and higher levels increase the risk of mortality. However, it is less known whether the shape of frailty trajectories differs by age at death or whether the rate of change in frailty is associated with mortality. OBJECTIVES: to assess population frailty trajectories by age at death and to analyse whether the current level of the frailty index (FI) i.e. the most recent measurement or the person-specific rate of change is more predictive of mortality. METHODS: 3,689 individuals from three population-based cohorts with up to 15 repeated measurements of the Rockwood frailty index were analysed. The FI trajectories were assessed by stratifying the sample into four age-at-death groups: <70, 70-80, 80-90 and >90 years. Generalised survival models were used in the survival analysis. RESULTS: the FI trajectories by age at death showed that those who died at <70 years had a steadily increasing trajectory throughout the 40 years before death, whereas those who died at the oldest ages only accrued deficits from age ~75 onwards. Higher level of FI was independently associated with increased risk of mortality (hazard ratio 1.68, 95% confidence interval 1.47-1.91), whereas the rate of change was no longer significant after accounting for the current FI level. The effect of the FI level did not weaken with time elapsed since the last measurement. CONCLUSIONS: Frailty trajectories differ as a function of age-at-death category. The current level of FI is a stronger marker for risk stratification than the rate of change., CC BY-NC-ND 4.0© The Author(s) 2021. Published by Oxford University Press on behalf of the British Geriatrics SocietyAddress correspondence to: Juulia Jylhävä. Tel: 358-505351712. Email: juulia.jylhava@ki.seDeclaration of Sources of Funding: National Institutesof Health (grant numbers R01 AG04563, AG10175,AG028555, AG08861-09); the MacArthur Foundation Research Network on Successful Aging; the Swedish Council for Working Life and Social Research (FAS/FORTE) (grant numbers 97:0147:1B to N.L.P., 2009-0795 toN.L.P.); the Swedish Research Council (grant numbers 825-2007-7460, 825-2009-6141, 521-2013-8689, 2015-03255, 2018-02077 to J.J., 2016-03081, 2019-01272 to S.H.); JPND/Swedish Research Council (2015-06796 to N.L.P.); FORTE (2013-2292 to N.L.P.); the Loo & Hans Osterman Foundation to S.H. and J.J.; the Foundation for Geriatric Diseases to S.H.; the Magnus Bergwall Foundation to S.H.; the Strategic Research Program in Epidemiology at Karolinska Institutet to S.H. and J.J. and the King Gustaf V’s and Queen Victoria’s Freemason Foundation to S.H. and China Scholarship Council to G.B. and X.L. The financial sponsors had no role in the design, execution, analysis andinterpretation of data, or writing of the study.

Introduction: To study if declining cognition drives weight loss in preclinical dementia, we examined the longitudinal association between body mass index (BMI) and cognitive abilities in individuals who did or did not later develop dementia. Methods: Using data from individuals spanning age 50 to 89, we applied dual change score models separately in individuals who remained cognitively intact (n = 1498) and those who were diagnosed with dementia within 5 years of last assessment (n = 459). Results: Among the cognitively intact, there was a bidirectional association: Stable BMI predicted stable cognition and vice versa. Among individuals who were subsequently diagnosed with dementia, the association was unidirectional: Higher BMI predicted declining cognition but cognition did not predict change in BMI. Discussion: Although BMI and cognition stabilized each other when cognitive functioning was intact, this buffering effect was missing in the preclinical dementia phase. This finding indicates that weight loss in preclinical dementia is not driven by declining cognition., CC BY-NC-ND 4.0Correspondence Ida K. Karlsson, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, SE-1177 Stockholm, Sweden. Email: ida.karlsson@ki.se