Abstract Purpose The aim of this study was to examine the longitudinal association between educational level and frailty prevalence in older adults and to investigate the role of material, ...biomedical, behavioral, social, and mental factors in explaining this association. Methods Data over a period of 13 years were used from the Longitudinal Aging Study Amsterdam. The study sample consisted of older adults aged 65 years and above at baseline ( n = 1205). Frailty was assessed using Fried's frailty criteria. A relative index of inequality was calculated for the level of education. Longitudinal logistic regression analyses based on multilevel modeling were performed. Results Older adults with a low educational level had higher odds of being frail compared with those with a high educational level (relative index of inequality odds ratio, 2.94; 95% confidence interval, 1.84–4.71). These differences persisted during 13 years of follow-up. Adjustment for all explanatory factors reduced the effect of educational level on frailty by 76%. Income, self-efficacy, cognitive impairment, obesity, and number of chronic diseases had the largest individual contribution in reducing the effect. Social factors had no substantial contribution. Conclusions Our findings highlight the need for a multidimensional approach in developing interventions aimed at reducing frailty, especially in lower educated groups.
Objectives: While online health information (OHI) has become ubiquitous, little is known about its use by middle-aged and older adults. This contribution examines the role of OHI and its influence on ...the patient–physician relationship. Method: This qualitative study reports the thematic analysis of 40 semistructured, in-depth interviews with Flemish middle-aged and older adults between the ages of 50 and 80 years. Results: Middle-aged and older adults obtain OHI pre- and post-consultation, albeit with different motivations and in search of different types of information. Patients strategically and carefully introduce OHI in the clinical encounter. “Doctor Google” expands the traditional patient–physician dyad into an information triangle. Discussion: The findings have implications for policy guidance and clinical practice. Public campaigns against “Googling” for health information might have to be amended to be successful. Importantly, physicians are increasingly expected to refer to and appraise OHI and put it into the individual patient context.
Abstract
Background
Frailty is an important geriatric syndrome, but little is known about its development in the years preceding onset of the syndrome. The aim of this study was to examine the ...progression of frailty and compare the trajectories of each frailty component prior to frailty onset.
Methods
Repeat data were from two cohort studies: the Longitudinal Aging Study Amsterdam (n = 1440) with a 15-year follow-up and the InCHIANTI Study (n = 998) with a 9-year follow-up. Participants were classified as frail if they had >3 frailty components (exhaustion, slowness, physical inactivity, weakness, and weight loss). Transitions between frailty components were examined with multistate modeling. Trajectories of frailty components were compared among persons who subsequently developed frailty to matched nonfrail persons by using mixed effects models.
Results
The probabilities were 0.43, 0.40, and 0.36 for transitioning from 0 to 1 frailty component, from 1 component to 2 components, and from 2 components to 3–5 components (the frail state). The transition probability from frail to death was 0.13. Exhaustion separated frail and nonfrail groups already 9 years prior to onset of frailty (pooled risk ratio RR = 1.53, 95% confidence interval CI 1.04–2.24). Slowness (RR = 1.94, 95% CI 1.44–2.61), low activity (RR = 1.59, 95% CI 1.19–2.13), and weakness (RR = 1.39, 95% CI 1.10–1.76) separated frail and nonfrail groups 6 years prior to onset of frailty. The fifth frailty component, weight loss, separated frail and nonfrail groups only at the onset of frailty (RR = 3.36, 95% CI 2.76–4.08).
Conclusions
Evidence from two cohort studies suggests that feelings of exhaustion tend to emerge early and weight loss near the onset of frailty syndrome.
This study examined trajectories of emotional functioning in three domains (depressive symptoms, emotional, and social loneliness) for individuals who experienced spousal bereavement and investigated ...cross-domain adaptation. We hypothesized that emotional difficulties after bereavement would be more detectable in emotional loneliness than depressive symptoms or social loneliness.
Using latent class growth analysis, we modeled changes in depressive symptoms, emotional loneliness, and social loneliness from 12 years pre- to 12 years post-bereavement on data from 686 older adults to identify trajectories indicating adaptive and maladaptive functioning in each domain.
Most participants reported depressive symptoms below the clinically relevant threshold by showing a resilient (15.5%) or a slightly elevated (53.5%) trajectory post-bereavement. One third (31%) reported clinically relevant depressive symptoms. More than half of the sample reported emotional loneliness post-bereavement, varying form prolonged (17%), increasing and prolonged (28.3%), and chronically high (8.9%) levels. Remaining participants displayed resilience (13.5%) or recovery (32.3%). Social loneliness showed four trajectories: very low and resilient (43.3%), low and resilient (27.5%), increasing (20.2%), and chronically high (9%) levels. One third of participants maintained adaptive, whereas 12% displayed maladaptive, functioning across all domains post-bereavement.
An increase in emotional loneliness was the most commonly observed change after spousal bereavement. This highlights the central role of emotional loneliness in depression after bereavement.
To date, determinants of retirement timing have been studied separately within various disciplines, such as occupational health and economics. This narrative literature review explores the ...determinants of retirement timing in countries, and relevant domains among older workers from both an economic and occupational health perspective.
A literature search was conducted using 11 databases. Longitudinal studies on determinants of retirement timing were included. Study inclusion criteria were as follows: full-text article written in English or Dutch, conducted in humans, main outcome was time until retirement (i.e. retirement date or retirement age), and longitudinal design. Next, the included articles were screened for hypotheses on retirement timing and these articles with hypotheses were subjected to a quality assessment. Determinants for retirement timing were classified into multiple domains by three researchers.
The literature search identified 20 articles. The determinants of retirement timing were classified into eight domains: demographic factors, health factors, social factors, social participation, work characteristics, financial factors, retirement preferences, and macro effects. In total, we identified 49 determinants, ranging from one (social, and retirement preferences) to 21 determinants (work characteristics) per domain.
The findings suggest that there is a wide range of determinants that influence retirement timing in modern industrialized countries and that these determinants differ between countries. We recommend that researchers include determinants from various domains when studying retirement timing, while taking into account a country's context.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Background: Frailty is an important risk factor for adverse outcomes in older people. Substantial variation in frailty prevalence between socioeconomic groups exists, but longitudinal evidence for ...the association between socioeconomic position (SEP) and frailty is scarce. Objective: To investigate the course of socioeconomic inequalities in frailty among older adults during 10 years of follow-up. Methods: Data were used from the Longitudinal Aging Study Amsterdam (n = 1,509). Frailty was measured with the functional domains approach, based on deficiencies in four domains: physical, nutritive, cognitive, and sensory. Mixed-model analyses were performed to estimate the course of frailty and its association with SEP during a 10-year follow-up. We investigated whether similar patterns of associations held in different scenarios, comparing results of survivor analyses with those based on two imputation methods accounting for dropout due to death (substitution of first missing value and missing values imputed with a prediction model). Results: All scenarios showed a linear increase in frailty with aging (survivor analyses OR = 1.87, 95% CI = 1.66-2.11) and associations of low education and low income with frailty (adjusted OR for low education = 1.76, 95% CI = 1.05-2.97; adjusted OR for low income = 1.90, 95% CI = 1.20-3.01; both for survivor analyses). Sex-stratified analyses indicated that socioeconomic inequalities were mainly present in men, not in women. Similar patterns of associations of SEP with frailty were observed in all scenarios, but the increase in frailty prevalence over time differed substantially between the scenarios. There were no statistically significant interactions between time and SEP on frailty (all scenarios), suggesting that inequalities in frailty did not increase or decrease during follow-up. Conclusion: SEP inequalities in frailty among older adults were observed, mainly among men, and persisted during 10 years of follow-up.
Abstract Objectives This paper aims to systematically review observational studies that have analysed whether depressive symptoms in the community are associated with higher general hospital ...admissions, longer hospital stays and increased risk of re-admission. Methods We identified prospective studies that looked at depressive symptoms in the community as a risk factor for non-psychiatric general hospital admissions, length of stay or risk of re-admission. The search was carried out on MEDLINE, PsycINFO, Cochrane Library Database, and followed up with contact with authors and scanning of reference lists. Results Eleven studies fulfilled our inclusion and exclusion criteria, and all were deemed to be of moderate to high quality. Meta-analysis of seven studies with relevant data suggested that depressive symptoms may be a predictor of subsequent admission to a general hospital in unadjusted analyses (RR = 1.36, 95% CI: 1.28–1.44), but findings after adjustment for confounding variables were inconsistent. The narrative synthesis also reported depressive symptoms to be independently associated with longer length of stay, and higher re-admission risk. Conclusions Depressive symptoms are associated with a higher risk of hospitalisation, longer length of stay and a higher re-admission risk. Some of these associations may be mediated by other factors, and should be explored in more details.
The Longitudinal Aging Study Amsterdam (LASA) is a prospective cohort study of older adults in the Netherlands, initially based on a nationally representative sample of people aged 55–84 years. The ...study has been ongoing since 1992, and focuses on the determinants, trajectories and consequences of physical, cognitive, emotional and social functioning. Strengths of the LASA study include its multidisciplinary character, the availability of over 25 years of follow-up, and the cohort-sequential design that allows investigations of longitudinal changes, cohort differences and time trends in functioning. The findings from LASA have been reported in over 600 publications so far (see
www.lasa-vu.nl
). This article provides an update of the design of the LASA study and its methods, on the basis of recent developments. We describe additional data collections, such as additional nine-monthly measurements in-between the regular three-yearly waves that have been conducted among the oldest old during 2016–2019, and the inclusion of a cohort of older Turkish and Moroccan migrants.
Background
Frailty is a state of increased vulnerability to adverse outcomes. The frailty index (FI), defined by the deficit accumulation approach, is a sensitive instrument to measure levels of ...frailty, and therefore important for longitudinal studies of aging.
Aims
To develop an FI in the Longitudinal Aging Study Amsterdam (LASA), and to examine the predictive validity of this FI for 19-year mortality.
Methods
LASA is an ongoing study among Dutch older adults, based on a nationally representative sample. A 32-item FI (LASA–FI) was developed at the second LASA measurement wave (1995–1996) among 2218 people aged 57–88 years. An FI score between 0 and 1 was calculated for each individual. The LASA–FI included health deficits from the physical, mental and cognitive domain and can be constructed for most LASA measurement waves. Associations with 19-year mortality were assessed using Kaplan–Meier curves and Cox proportional hazards models.
Results
The mean LASA–FI score was 0.19 (SD = 0.12), with a 99% upper limit of 0.53. Scores were higher in women than men (women = 0.20, SD = 0.13 vs. men = 0.17, SD = 0.11,
p
< 0.001). The average age-related increase in the log-transformed LASA–FI score was 3.5% per year. In a model adjusted for age and sex, the FI score was significantly associated with 19-year all-cause mortality (HR per 0.01 = 1.03, 95% CI 1.03–1.04,
p
< 0.001).
Discussion/conclusions
The key characteristics of the LASA–FI were in line with findings from previous FI studies in population-based samples of older people. The LASA–FI score was associated with mortality and may serve as an internal and external reference value.
Although the educational expansion is often seen as a mechanism that might reduce health inequalities, socioeconomic inequalities in health (SEIH) have persisted or increased over the past decades. ...Theories suggest that this persistence could be due to a changing role of education as a 'gatekeeper' to access other socioeconomic resources such as occupation and income that are also associated with health outcomes. To test this, we examine whether the mediating role of occupation and income in the education-health relationship differs between three cohorts of 55-64 year old adults.
We used cross-sectional data from three cohorts of 988, 1002, and 1023 adults born in 1928/37, 1938/47 and 1948/57 and observed in 1992/93, 2002/03, 2012/13 respectively, who participated in the Longitudinal Aging Study Amsterdam, the Netherlands. We used multigroup structural equation modelling to compare the strength of indirect effects of education via occupational skill level and income to functional limitations and depressive symptoms between cohorts.
Absolute educational inequalities in functional limitations increased for men and women in later cohorts, and in depressive symptoms only for men. Relative inequalities in functional limitations increased only for women and in depressive symptoms only for men. The indirect effect of education via income on both health outcomes was weaker in the most recent birth cohort compared to the earlier cohorts. In contrast, the indirect effect of education via occupation on functional limitations was stronger in the most recent cohort compared to the earlier cohorts. These differences were mainly due to a decreasing direct effect of education on income and an increasing direct effect of education on occupational skill level, rather than to changes in the direct effects of occupation and income on health.
The role of education in determining inequalities in health appears to have changed across cohorts. While education became a less important determinant of income, it became a more important determinant of occupational level. This changing role of education in producing health inequalities should be considered in research and policy.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
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