The Louisville Twin Study (LTS) began in 1958 and became a premier longitudinal twin study of cognitive development. The LTS continuously collected data from twins through 2000 after which the study closed indefinitely due to lack of funding. Now that the majority of the sample is age 40 or older (61.36%, N = 1770), the LTS childhood data can be linked to midlife cognitive functioning, among other physical, biological, social, and psychiatric outcomes. We report results from two pilot studies in anticipation of beginning the midlife phase of the LTS. The first pilot study was a participant tracking study, in which we showed that approximately 90% of the Louisville families randomly sampled (N = 203) for the study could be found. The second pilot study consisted of 40 in-person interviews in which twins completed cognitive, memory, biometric, and functional ability measures. The main purpose of the second study was to correlate midlife measures of cognitive functioning to a measure of biological age, which is an alternative index to chronological age that quantifies age as a function of the breakdown of structural and functional physiological systems, and then to relate both of these measures to twins’ cognitive developmental trajectories. Midlife IQ was uncorrelated with biological age (−.01) while better scores on episodic memory more strongly correlated with lower biological age (−.19 to −.31). As expected, midlife IQ positively correlated with IQ measures collected throughout childhood and adolescence. Additionally, positive linear rates of change in FSIQ scores in childhood significantly correlated with biological age (−.68), physical functioning (.71), and functional ability (−.55), suggesting that cognitive development predicts lower biological age, better physical functioning, and better functional ability. In sum, the Louisville twins can be relocated to investigate whether and how early and midlife cognitive and physical health factors contribute to cognitive aging. 

Psychiatric care in Sweden is jointly organized by psychiatric practice and municipal social services. To determine who is entitled to support from the municipalities, the concept of “psychiatric disability” was created in connection with psychiatric reform in 1995. Psychiatric disability is a poorly identified concept and in Sweden, a person has severe mental illness (SMI) if they have difficulties in carrying out activities in crucial areas of life, these difficulties are caused by a mental disorder, and they are prolonged. Internationally, SMI is often synonymous with psychosis, but in Sweden other severe psychiatric conditions are included, but not dementia. Both practically and ethically, the unclear definition of SMI is a problem because it determines whether a person is granted interventions and what forms the interventions take. We investigated similarities and differences in people defined as SMI, divided into two groups, psychosis (Nf222) and non-psychosis (Nf253). Adults with SMI aged 65 or over (in 2016) have been assessed using data from four surveys carried out between 1996 and 2011, as well data available from national registers. People with psychosis had worse functional levels on the Global Assessment of Functioning and more unmet needs, according to Camberwell Assessment of Needs. However, differences between psychosis and non-psychosis groups varied across measures (e.g., education, income, living situation) and results differed depending on age at onset, year of first admission to a mental hospital, and length of institutionalization. These variables had a greater impact on the similarities and differences between measures than the diagnosis itself.

BACKGROUND: The concept of deinstitutionalization started in the 1960s in the US to describe closing down or reducing the number of beds in mental hospitals. The same process has been going on in many countries but with different names and in various forms. In Europe, countries like Italy prescribed by law an immediate ban on admitting patients to mental hospitals while in some other European countries psychiatric care was reorganized into a sectorized psychiatry characterized by open psychiatric care. This sectorization has not been studied to the same extent as the radical closures of mental hospitals, even though it entailed major changes in the organization of care. The deinstitutionalization in Sweden is connected to the sectorization of psychiatric care, a protracted process taking years to implement.

METHODS: Older people, with their first admission to psychiatric care before or after the sectorization process, were followed using three different time metrics: (a) year of first entry into a mental hospital, (b) total years of institutionalization, and (c) changes resulting from aging. Data from surveys in 1996, 2001, 2006, and 2011 were used, together with National registers.

RESULTS: Examination of date of first institutionalization and length of stay indicates a clear break in 1985, the year when the sectorization was completed in the studied municipality. The results show that the two groups, despite belonging to the same age group (birthyears 1910-1951, mean birthyear 1937), represented two different patient generations. The pre-sectorization group was institutionalized at an earlier age and accumulated more time in institutions than the post-sectorization group. Compared to the post-sectorization group, the pre-sectorization group were found to be disadvantaged in that their level of functioning was lower, and they had more unmet needs, even when diagnosis was taken into account.

CONCLUSIONS: Sectorization is an important divide which explains differences in two groups of the same age but with different institutional history: "modern" and "traditional" patient generations that received radically different types of care. The results indicate that the sectorization of psychiatric care might be as important as the Mental Health Care Reform of 1995, although a relatively quiet revolution.

The Louisville Twin Study (LTS) is nationally recognized as one of the largest and most comprehensive studies of child development related to multiple birth status. The LTS is unique because of the extensive longitudinal face-to-face assessments, the frequency of data collection, the inclusion of data on additional family members (i.e., parents, siblings, grandparents; and later, twins' own spouses and children), and the variety of data collection methods used. Data preservation efforts began in 2008 and are largely complete, although efforts are ongoing to obtain funding to convert the electronic data to a newer format. A pilot study was completed in the summer of 2018 to bring the twins, who are now middle-aged, back for testing. A grant is currently under review to extend the pilot study to include all former participants who are now ≥40 years of age. Opportunities for collaboration are welcome.

BACKGROUND: Substantial research is dedicated to understanding the aging-related dynamics among individual differences in level, change, and variation across physical and cognitive abilities. Evaluating replicability and synthesizing these findings has been limited by differences in measurements and samples, and by study design and statistical analyses confounding between-person differences with within-person changes. In this paper, we conducted a coordinated analysis and summary meta-analysis of new results on the aging-related dynamics linking pulmonary function and cognitive performance.

METHODS: We performed coordinated analysis of bivariate growth models in data from 20,586 participants across eight longitudinal studies to examine individual differences in baseline level, rate of change, and occasion-specific variability in pulmonary and cognitive functioning. Results were summarized using meta-analysis.

RESULTS: We found consistent but weak baseline and longitudinal associations in levels of pulmonary and cognitive functioning, but no associations in occasion-specific variability.

CONCLUSIONS: Results provide limited evidence for a consistent link between simultaneous changes in pulmonary and cognitive function in a normal aging population. Further research is required to understand patterns of onset of decline and differences in rates of change within and across physical and cognitive functioning domains, both within-individuals and across countries and birth cohorts. Coordinated analysis provides an efficient and rigorous approach for replicating and comparing results across independent longitudinal studies.

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.

OBJECTIVES: Body fat, measured with body mass index (BMI), and obesity are associated with depressive symptoms. Among younger adults there is stronger evidence of obesity leading to depressive symptoms than of depressive symptoms leading to obesity, but the temporal relationship is unknown among older adults. This study utilized dual-change-score models (DCSMs) to determine the directional relationship between body mass and depressive symptoms among older adults.

METHOD: Participants (n=1743) from the Swedish Twin Registry (baseline age range 50-96 years) completed at least one assessment of BMI (nurse measurement of height and weight) and the Center for Epidemiologic Studies-Depression scale (CESD). More than half the sample completed three or more assessments, scheduled at intervals of 2-4 years. DCSMs modeled the relationship of BMI and CESD across age, both independently and as part of bivariate relationships.

RESULTS: Depressive symptoms contributed to subsequent changes in BMI after age 70, while BMI contributed to subsequent changes in depressive symptoms after age 82. Thus, there is a reciprocal relationship that may change with age. The effect was more pronounced for women.

DISCUSSION: The association of BMI and depressive symptoms is bi-directional among older adults, and it appears to be affected by both age and sex.

Background: Quality of life in late adulthood is a function of physical, emotional, and intellectual health, and maintenance of functional ability is central to sustaining independent living. Generational differences in health behaviors and health care may result in differences in how functional ability changes with age. Cohort differences in rates of decline would provide support for environmental or behavioral influences on aging of physical functioning.

Method: Twenty assessments of functional ability were collected as part of the longitudinal Swedish Adoption/Twin Study of Aging from twins aged 50–88 at the first wave. Participants completed up to 7 assessments covering a 21-year period. Factor analysis was used to create 3 factors: flexibility, fine motor skills, and balance. Individuals born 1900-1924 (N=441) were compared with individuals born 1925-1948 (N=418).

Results: Latent growth curve modeling incorporating two linear slopes was used to compare rates of decline between the two cohorts. For the early born cohort, slopes assessed change from 60-80 (slope 1) and 80-95 (slope 2); for the later born cohort, slopes assessed changes from 50-60 and 60-80. The balance and flexibility factors showed equivalent increase in difficulty in functioning in the overlapping age range (age 60-80); however, difficulties in fine motor skills increased faster in the later born cohort in that age range.

Conclusions: Cohort differences in experiences have modest impact on increases in difficulty in physical functioning; generally, aging of physical functioning is occurring at the same pace for two distinct cohorts, providing support for internal mechanisms of decline.

Objective: We examined changes in participation in cognitive, social, and physical leisure activities across middle and older adulthood and tested moderation of trajectories of change in participation by gender.

Method: In all, 1,398 participants in the Swedish Adoption/Twin Study of Aging (SATSA) completed a 7-item leisure activity questionnaire up to 4 times over 17 years. Mean baseline age was 64.9 years (range = 36-91); 59% were women. Factor analysis identifed physical, social, and cognitive/sedentary leisure activity participation factors. Age-based latent growth curve models adjusted for marital status, gender, education, depressive symptoms, and physical health were used.

Results: Overall, results indicated stability in social activities, increase in cognitive/sedentary activities, and decrease in physical activities, as well as accelerated decline in all three types of activities after about the age of 70 years. Social activity remained mostly stable for women and declined for men. Women reported higher levels of cognitive/sedentary leisure activity across the study. Both men and women declined in physical leisure activity. Variance in leisure activities increased with age; men demonstrated more variance in social activities and women in physical activities.

Conclusions: Understanding change in leisure activities with age and by gender can have important implications for interventions and for use of leisure activity data in epidemiological research. 

Objectives

As part of the process of de-institutionalization in the Swedish mental healthcare system, a reform was implemented in 1995, moving the responsibility for services and social support for people with severe mental illness (SMI) from the regional level to the municipalities. In many ways, older people with SMI were neglected in this changing landscape of psychiatric care. The aim of this study is to investigate functional levels, living conditions, need of support in daily life, and how these aspects changed over time for older people with SMI.

Methods

In this study we used data from surveys collected in 1996, 2001, 2006, and 2011 and data from national registers. A group of older adults with severe persistent mental illness (SMI-O:P) was identified and divided into those who experienced shorter stays (less than 3 years) in a mental hospital (N = 118) and longer stays (N = 117).

Results

After correcting for longitudinal changes with age, the longer-stay group was more likely than the shorter-stay group to experience functional difficulties and as a result, were more likely to have experienced 're-institutionalization' to another care setting, as opposed to living independently.

Conclusions

The length of mental illness hospitalization has significant effects on the living conditions of older people with SMI and their ability to participate in social life.

The current analysis investigates genetic and environmental influences on the bidirectional relationships between temperament and general cognitive ability (GCA). Measures of GCA and three temperament factors (persistence, approach, and reactivity) were collected from 486 children ages 4-9 years (80% white, 50% female) from the Louisville Twin Study from 1976 to 1998. The results indicated a bidirectional dynamic model of temperament influencing subsequent GCA and GCA influencing subsequent temperament. The dynamic relationship between temperament and GCA arose primarily from shared genetic variance, particularly in families with higher socioeconomic status, where input from temperament contributed on average 20% to genetic variance in GCA versus 0% in lower SES families.

Quality of life in late adulthood is a function of physical, emotional, and intellectual health, and maintenance of functional ability is central to sustaining independent living. Generational differences in health behaviors and health care may result in differences in how functional ability changes with age. Twenty assessments of functional ability were collected as part of the longitudinal Swedish Adoption/Twin Study of Aging from twins aged 50–88 at the first wave. Participants completed up to 9 assessments covering a 26-year period. Factor analysis was used to create 3 factors: flexibility, fine motor skills, and balance. Individuals born 1900–1924 (N=441) were compared with individuals born 1925–1948 (N=418). Latent growth curve modeling indicated accelerating changes with age for all 3 factors in both cohorts, but difficulties in motor function increased at a significantly slower pace in the later born cohort. Education was added to the LGCM as an indicator of socio-economic conditions: lower education (elementary school) vs. higher education. Sixty-nine percent of the earlier born cohort and 50% of the later born cohort had only elementary school education. Adding education to the LGCM had no impact on rates of change in the early born cohort. In the later born cohort, however, individuals with less education had the same aging trajectories as the earlier born cohort. That is, only later born individuals with higher educational achievement showed the slower rate of aging of functional abilities. Results demonstrate the SES distinction in the impact of health improvements over the 20th century.

OBJECTIVE: Investigations of cohort differences in relationships between education and health tend to focus on mortality or self-reported health. We report one of the first analyses of cohort differences in relationships between education and objective measures of functional abilities across the lifespan.

METHOD: Up to 26 years of follow-up data were available from 859 adults from the Swedish Adoption/Twin Study of Aging. The sample was divided into two cohorts by birth year: 1900-1924 and 1925-1948. Latent growth curve models (LGCM) were compared across cohort and educational levels.

RESULTS: LGCM indicated divergence between adults with lower and higher educational attainment in longitudinal trajectories of change with age in the Balance and Flexibility factors for the later born cohort only.

DISCUSSION: Results support the cumulative advantage theory and suggest that education-health disparities are increasing in recent cohorts, even in counties with national health care systems and strong support of education.

Background

Extensive research has investigated the association between age changes in various domains, including lung function and motor function. However, a few analyses have tested models that incorporate bidirectional longitudinal influences between lung and motor function to test the temporal chain of events in the disability process. Dual change score models (DCSM) assist with identification of leading indicators of change by leveraging longitudinal data to examine the extent to which changes in one variable influence subsequent changes in a second variable, and vice versa.

Aims

The purpose of the current-analysis study was to apply DCSM to data from the Swedish Adoption/Twin Study of ageing to examine the nature of the longitudinal relationship between motor functioning and lung function.

Methods

Three motor functioning factors were created from 20 performance measures, including measures of balance, flexibility, and fine motor skills. Peak expiratory flow measured lung function. Participants were 829 adults aged 50–88 at the first of 9 waves of testing covering a 27-year follow-up period; 80% participated in at least three waves.

Results

Model comparisons indicated that decline in lung function preceded and contributed to subsequent decline in motor function.

Discussion

Combined with previous results, these results suggest that declining lung function results in increasing difficulties in motor function, which contribute to subsequent declines in multiple domains.

Conclusion

Understanding the cascade of events that can lead to dependence can help in the development of interventions targeted early in the disablement process.

Objective: The current analysis examines sex differences in longitudinal changes in genetic and environmental influences on three measures of subjective health.

Method: Sample includes 7372 twins (mean intake age = 73.22) with up to 8 waves of measurement (mean = 3.1). Three subjective health (SH) items were included: general self-rated health (SRH), health compared to age peers (COMP), and impact of health on activities (ACT) which previous research shows capture different frames of reference.

Results: Latent growth curve modeling indicated significant differences across gender and frame of reference in trajectories of change with age and in genetic and environmental contributions to change. Men have higher mean scores on all three SH measures, indicating better SH, but there were no sex differences in pattern of change with age. Accelerating declines with age were found for SRH and ACT, whereas COMP improved with age. Results indicated more genetic variance for women than men, but declining genetic variance for both after age 70. Increasing shared environmental variance with increasing age was also found for both sexes.

Discussion: As aging triggers a re-evaluation of the meaning of "good health," physical aspects of health may become less important and shared cultural conceptions of health may become more relevant. This change in conceptions of good health may reflect both aging and the change in composition of the elderly population as a result of selective survival.

OBJECTIVES: Subjective health (SH) is not just an indicator of physical health, but also reflects active cognitive processing of information about one's own health and has been associated with emotional health measures, such as neuroticism and depression. Behavior genetic approaches investigate the genetic architecture of SH, i.e., genetic and environmental influences on individual differences in SH and associations with potential components such as physical, cognitive, and emotional health. Previous twin analyses have been limited by sex, sample size, age range, and focus on single covariates.

METHODS: The current analysis used data from 24,173 adults ranging in age from 40-90 years from the international Interplay of Genes and Environment Across Multiple Studies (IGEMS) consortium to investigate the genetic architecture of three measures of SH: self-rated health, health compared to others, and impact of health on activities. Independent pathways model of SH included physical health, depressive symptoms, and episodic memory, with age, sex, and country included as covariates.

RESULTS: Most or all of the genetic variance for SH measures was shared with physical health, depressive symptoms, and episodic memory. Genetic architecture of SH differed across measures, age groups (40-65, 66-90), and sexes. Age comparisons indicated stronger correlations with all 3 covariates in older adults, often resulting from greater shared genetic variance.

DISCUSSION: The predictive value of SH has been amply demonstrated. The higher genetic contributions to associations between SH and its components in older adults support the increasing conceptualization with age of SH as an intuitive summation of one's vital reserve.

The Swedish health care system focuses on allowing older adults to “age in place”; however, that approach assumes that home health services are adequate to support health and prevent unnecessary decline. Data from the Senior Alert national quality register in Sweden were examined to compare the quality of care across care locations. First registration in Senior Alert was available for 2914 adults aged 57–109 (median age = 81): 3.6% dementia unit, 7.8% home health care, 4.4% rehabilitation unit, 62.8% hospital, 21.4% care home. There were significant differences across units in the number of identified risks in 4 categories: falls, malnutrition, oral health, and pressure ulcer. Individuals in rehabilitation units averaged 2.4 risks, individuals in dementia and care homes averaged 2.0 risks, and individuals in home health care and hospitals averaged 1.4 risks. For individuals with identified risks, the differences between planned and performed actions for each risk independently were greatest for those in home health care. Moreover, the correlation between total planned and performed actions in home health care was .79 for adults aged 65–80 years and .39 for adults aged 81 and over. The correlation did not differ across age for the other care units. Results suggest that individuals most in need of actions to address health risks (older adults in home health care) are least likely to have the actions performed. Training and support of workers responsible for home health care need to be improved if the “age in place” policy is to continue.

OBJECTIVES: To examine life-course models by investigating the roles of childhood and adult socioeconomic position (SEP) in longitudinal changes in a functional aging index.

METHOD: Up to eight waves of testing, covering 25 years, were available from the Swedish Adoption/Twin Study of Aging: N = 654, intake age = 50-82. A two-slope latent growth curve model was applied to the data, and the impact of including childhood and adult SEP as covariates of the intercept (at age 70) and slopes (before and after age 70) was tested.

RESULTS: Both childhood and adult SEP contributed to the best-fitting model. Childhood SEP was significantly associated with intercept and Slope 1 (before age 70) of the latent growth curve model (p < .05). Association of adult SEP with Slope 2 (after age 70) trended toward significance (p < .10). There was a significant interaction effect of childhood and adult SEP on the intercept (p < .05). As a result, intercept at age 70 was highest and change after age 70 was fastest for those whose SEP decreased from childhood to adulthood.

CONCLUSIONS: Both childhood and adult SEP impact change in functional abilities with age, supporting both critical period and social mobility models. The social environment is modifiable by policies at local, national, and international levels, and these policies need to recognize that early social disadvantage can have long-lasting health impacts.

Long-term stress is associated with adverse health outcomes in aging. It is important to identify not only factors that influence functioning in late adulthood, such as accumulated stress, but also the timing of such factors. The aim of the current analysis was to examine how socioeconomic stressors throughout the life course are associated with aging in functional capacity. Data were available from 740 adults ranging in age from 40 to 83 at intake (mean = 62.4, SD = 8.2) who participated in up to 8 waves of data collection (mean = 3.9, SD = 2.4). A Functional Aging Index (FAI) was created by combining measures of sensory, pulmonary, gait, and grip functioning. Both childhood and adulthood measures of objective socioeconomic position (SEP) and perceived SEP (financial strain) were available. Latent growth curve models (corrected for twinness) were used to estimate the trajectory of change in FAI over age and the impact of child and adult SEP measures on the trajectories. Results indicated that both childhood and adult objective SEP independently influenced rates of change in FAI in adulthood: higher SEP was associated with higher mean functioning and slower rates of decline. In combination, model fitting indicated that if SEP is above the median in adulthood, then childhood SEP has no impact on FAI trajectories; however, if SEP is below the median in adulthood, then childhood SEP can play a role. In addition, results indicated possible long-term effects of childhood financial strain on rates of change in FAI in adulthood.

Behavior genetic investigations of cognitive aging began in earnest in the 1980s. After an initial focus on general cognitive ability (GCA) in earlier lifespan periods, aging researchers turned their focus to investigations of age changes in GCA as well as specific cognitive abilities, finding different patterns of change with age and different compositions of genetic and environmental contributions to change. Mapping the human genome in the early 2000s provided researchers with tools to investigate multiple genes associated with cognitive function. Moreover, contexts in which cognitive aging occurs, as well as the role of gene and environment interplay, have become a focus.

The existence of genetic influences on both health and SES attainment suggests that GE interplay plays a role in SES-health associations. Adverse environments raise the risk of disease for everyone, but various models of GE interplay predict that some genotypes are more vulnerable to adversity than others (diathesis-stress), enriched environments prevent the expression of an underlying genetic vulnerability (social compensation), or genetic factors are minimized in adverse environments and maximized in favorable ones (social enhancement). Differential susceptibility models propose that specific genotypes might be more responsive to the social environment at both positive and negative extremes. Nine of the 15 twin studies of adult development and aging that are part of the IGEMS consortium included items assessing financial strain as well as subjective health, representing 10,756 individuals. The sample was 55% women, included 3185 MZ twins and 5228 DZ twins, and age ranged from 24 to 98. A factor model was used to create a harmonized measure of financial strain across studies and items: extent to which money covers needs, difficulty in paying monthly bills, economic situation compared to others, and whether there is money for extras. Twin analysis of genetic and environmental variance for self-rated health incorporating age and financial strain as continuous moderators and sex as a dichotomous moderator indicated significant financial strain moderation of genetic influences on self-rated health. Genetic variance increased as financial strain increased, matching the predictions of the diathesis-stress and social comparison models for components of variance.

BACKGROUND: The aim was to develop a functional aging index (FAI) that taps four body systems: sensory (vision and hearing), pulmonary, strength (grip strength), and movement/balance (gait speed) and to test the predictive value of FAI for entry into care and mortality.

METHOD: Growth curve models and cox regression models were applied to data from 1695 individuals from three Swedish longitudinal studies of aging. Participants were aged 45 to 93 at intake and data from up to 8 follow-up waves were available.

RESULTS: The rate of change in FAI was twice as fast after age 75 as before, women demonstrated higher mean FAI, but no sex differences in rates of change with chronological age were identified. FAI predicted entry into care and mortality, even when chronological age and a frailty index were included in the models. Hazard ratios indicated FAI was a more important predictor of entry into care for men than women; whereas it was a stronger predictor of mortality for men than women.

CONCLUSIONS: Measures of biological aging and functional aging differ in their predictive value for entry into care and mortality for men and women, suggesting that both are necessary for a complete picture of the aging process across genders.

We describe and analyze active ageing and quality of life among older Swedes drawing on national statistics and demographic records, surveys, and other sources. When feasible, we assess shifts over time, covering lifestyles—half of older persons still lived in rural settings in 1945—work and income (older persons increasingly are in the labor market), leisure activities, health and ADL status, cultural activities, volunteering and caregiving. Additionally, we also focus on changes in family life of older persons, loneliness and isolation. In significant ways family ties are stronger today than just some 30 years ago, many more have a partner and children, and more often children who live close. Here we draw on data for the whole Swedish population. These changes have important implications for activities and quality of life in general of older persons, but they are also embedded in larger social changes that may affect their perception of life.

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.

This study investigated the systematic rise in cognitive ability scores over generations, known as the Flynn Effect, across middle childhood and early adolescence (7–15 years; 291 monozygotic pairs, 298 dizygotic pairs; 89% White). Leveraging the unique structure of the Louisville Twin Study (longitudinal data collected continuously from 1957 to 1999 using the Wechsler Intelligence Scale for Children [WISC], WISC–R, and WISC–III ed.), multilevel analyses revealed between-subjects Flynn Effects—as both decrease in mean scores upon test re-standardization and increase in mean scores across cohorts—as well as within-child Flynn Effects on cognitive growth across age. Overall gains equaled approximately three IQ points per decade. Novel genetically informed analyses suggested that individual sensitivity to the Flynn Effect was moderated by an interplay of genetic and environmental factors.

INTRODUCTION:

Research indicate that cognitive impairment might be related to hospitalization, but little is known about these effects over time.

OBJECTIVE:

To assess cognitive change before and after hospitalization among older adults in a population-based longitudinal study with up to 25 years of follow-up.

METHOD:

A longitudinal study on 828 community living men and women aged 50-86 from the Swedish Adoption/Twin Study of Ageing (SATSA) were linked to The Swedish National Inpatient Register. Up to 8 assessments of cognitive performance (general cognitive ability, verbal, spatial/fluid, memory, and processing speed) from 1986 to 2010 were available. Latent growth curve modelling was used to assess the association between cognitive performance and hospitalization including spline models to analyse cognitive trajectories pre- and post-hospitalization.

RESULTS:

A total of 735 persons (89%) had at least one hospital admission during the follow-up. Mean age at first hospitalization was 70.2 (±9.3)years. Persons who were hospitalized exhibited a lower mean level of cognitive performance in general ability, processing speed and spatial/fluid ability compared with those who were not hospitalized. The two-slope models revealed steeper cognitive decline before hospitalization than after among those with at least one hospitalization event, as compared to non-hospitalized persons who showed steeper cognitive decline after the centering age of 70 years.

CONCLUSIONS:

Persons being hospitalized in late life have lower cognitive performance across all assessed domains. The results indicate that the main decline occurs before the hospitalization, and not after. This might indicate that when you get treatment you also benefit cognitively.

IMPORTANCE: Visual-motor integration (VMI) is typically examined in children to promote handwriting, but it may also be relevant for adults' capacity for technology use.

OBJECTIVE: To examine the reliability and validity of speed of completion of the box clicking test, a web-based test of VMI.

DESIGN: Participants in the Understanding America Study completed online surveys on a regular basis, including a very brief (less than 30 s) self-administered box clicking test. For validity testing, we examined whether box clicking speed was associated with constructs relevant to visual-perceptual skills and motor coordination, the skills underlying VMI. Test-retest reliability was examined by computation of intraclass correlation coefficients.

PARTICIPANTS: A total of 11,114 adults. MEASURES: Measures included the completion time for the box clicking task and measures relevant to visual perception (e.g., perceptual speed) and motor coordination (e.g., self-reported functional limitation).

RESULTS: Results suggested that the box clicking test was a VMI task. Slower test performance was associated with lower visual-perceptual speed and a greater likelihood of reporting difficulties with dressing, a motor coordination relevant task. Box clicking tests taken within at least 2 yr of one another had moderate test-retest stability, but future studies are needed to examine test-retest reliabilities over brief (e.g., 2-wk) time intervals.

CONCLUSIONS AND RELEVANCE: The box clicking test may serve both as a tool for research and to clinically observe whether clients have VMI difficulties that interfere with computer, smartphone, or tablet use.

Plain-Language Summary: Use of devices such as smartphones and computers is increasingly becoming integral for daily functioning. Visual-motor integration (VMI) has often been addressed by occupational therapists to support handwriting of children, but it may also be important for technology use by adults. Prior literature supports the relevance of VMI to technology use, and adults with various chronic conditions have been found to have decrements in VMI. We tested the psychometric properties of a brief box clicking test of VMI that could be used to examine VMI underlying technology use among adults. Overall, results suggested that the box clicking test was a VMI task. Just as speed of gait has been used as an index of functional mobility, speed on the box clicking task seemed serviceable as an index of VMI ability. The box clicking test may also be used for clinical observation of whether VMI interferes with technology use.

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.