scholarly journals Three-year trajectories in Functional Limitations and Cognitive Decline among Dutch 75+ year olds, using nine-month intervals

2021 ◽  
Author(s):  
Maura Gardeniers ◽  
Marjolein Broese van Groenou ◽  
Erik Jan Meijboom ◽  
Martijn Huisman
Keyword(s):  
Cognitive Functioning ◽  
Physical Functioning ◽  
Functional Limitations ◽  
Future Research ◽  
Short Version ◽  
Time Intervals ◽  
Longitudinal Aging Study Amsterdam ◽  
Aging Study ◽  
Mini Mental Status Examination ◽  
Longitudinal Aging Study

Abstract Background Using longitudinal panel data, the aim of this study was to first identify three-year trajectories in cognitive and physical functioning among Dutch older adults. And second, to identify which main characteristics were associated with these trajectories. Methods Group-based Trajectory Modelling with mortality jointly estimated was used to identify trajectories, using a scale composed of 6 Activities of Daily Living (ADL) as a measure of physical functioning, and a short version of the mini mental status examination (sMMSE) or the IQCODE as a measure of cognitive functioning. Data came from 574 Dutch adults aged 75+, collected in five nine-month measurement waves conducted between 2015 and 2018 for the Longitudinal Aging Study Amsterdam. Results Five trajectories in physical functioning were identified: ‘high’, ‘moderate’, ‘steeply declining’, ‘gradually declining’, and ‘continuously low’. People that were older, lower educated, living in an institution, or suffered from diabetes or cerebrovascular accidents were more likely to follow a low or declining physical trajectory. For cognitive functioning four trajectories were identified: a ‘high’, ‘moderate’, ‘declining’, and ‘low’ trajectory. Old age, low education, living in an institution, and heart- and lung diseases were associated with continuously low or declining cognitive functioning. Mortality risks were highest among those experiencing the continuously low functioning trajectories. Conclusions This study identified trajectories comparable to previous studies that used longer time intervals, showing the consistent presence of heterogeneity in both physical and cognitive trajectories. Co-modelling mortality resulted in bigger group sizes for the more adverse trajectories. The favourable trajectories, containing most of the participants, were mostly characterized by absence of disease, whereas trajectories showing decline did not share a common indicator. Specific chronic diseases were associated with different rates of decline, however there was no factor that was associated with all declining trajectories; future research could focus on finding such an indicator.

scholarly journals Late-life depression symptom dimensions and cognitive functioning in the Longitudinal Aging Study Amsterdam (LASA)

2016 ◽  
Vol 201 ◽  
pp. 171-178 ◽  
Author(s):  
Anamaria Brailean ◽  
Hannie C. Comijs ◽  
Marja J. Aartsen ◽  
Martin Prince ◽  
A. Matthew Prina ◽  
...  
Keyword(s):  
Cognitive Functioning ◽  
Late Life ◽  
Depression Symptom ◽  
Late Life Depression ◽  
Symptom Dimensions ◽  
Longitudinal Aging Study Amsterdam ◽  
Aging Study ◽  
Longitudinal Aging Study

scholarly journals The influence of differing social ties on decline in physical functioning among older people with and without chronic diseases: The Longitudinal Aging Study Amsterdam

2003 ◽  
Vol 15 (2) ◽  
pp. 164-173 ◽  
Author(s):  
M. Isabella Bisschop ◽  
Didi M. W. Kriegsman ◽  
Theo G. van Tilburg ◽  
Brenda W. J. H. Penninx ◽  
Jacques Th. M. van Eijk ◽  
...  
Keyword(s):  
Older People ◽  
Chronic Diseases ◽  
Physical Functioning ◽  
Social Ties ◽  
Longitudinal Aging Study Amsterdam ◽  
Aging Study ◽  
Longitudinal Aging Study

scholarly journals Psychosocial and Health-Related Factors Associated With Discordance Between 13-Year Trajectories of Self-Reported Functional Limitations and Performance-Based Physical Functioning in Old Age

2019 ◽  
Vol 32 (9) ◽  
pp. 1084-1097
Author(s):  
Almar A. L. Kok ◽  
Marieke J. Henstra ◽  
Nathalie van der Velde ◽  
Didi Rhebergen ◽  
Natasja M. van Schoor
Keyword(s):  
Physical Functioning ◽  
Latent Class ◽  
Multinomial Logistic Regression ◽  
Functional Limitations ◽  
Population Based ◽  
Related Factors ◽  
Factors Associated ◽  
Longitudinal Aging Study Amsterdam ◽  
Aging Study ◽  
And Performance

Objective: The objective of this study was to examine correlates of discordance between 13-year trajectories of self-reported functional limitations and performance-based physical functioning in older adults. Method: We included 2,135 participants from the population-based Longitudinal Aging Study Amsterdam, the Netherlands, followed across 1995-2008. Self-reported functional limitations included six (instrumental) activities of daily living. Performance-based functioning was a composite of four tests. We used latent class growth analysis and multinomial logistic regression to examine discordance and its correlates. Results: Patterns of discordance and concordance (41% concordance, 46% “overestimation” of daily functioning, 13% “underestimation”) appeared to be persistent over 13 years. Older age, male sex, cognitive impairment, absence of pain, and light alcohol use were associated with overestimation. Younger age, female sex, and lower self-rated health were associated with underestimation. Discussion: Factors associated with overestimation partly differ from those associated with underestimation. Factors that are highly stable over time are particularly good indicators of persistent discordance.

scholarly journals Older adults report cancellation or avoidance of medical care during the COVID-19 pandemic: results from the Longitudinal Aging Study Amsterdam

2021 ◽  
Author(s):  
Noah A. Schuster ◽  
Sascha de Breij ◽  
Laura A. Schaap ◽  
Natasja M. van Schoor ◽  
Mike J. L. Peters ◽  
...  
Keyword(s):  
Older Adults ◽  
Primary Care ◽  
Medical Care ◽  
Help Seeking ◽  
Community Dwelling ◽  
Multiple Chronic Conditions ◽  
Hospital Outpatient ◽  
Longitudinal Aging Study Amsterdam ◽  
Aging Study ◽  
Longitudinal Aging Study

Abstract Purpose Delay of routine medical care during the COVID-19 pandemic may have serious consequences for the health and functioning of older adults. The aim of this study was to investigate whether older adults reported cancellation or avoidance of medical care during the first months of the COVID-19 pandemic, and to explore associations with health and socio-demographic characteristics. Methods Cross-sectional data of 880 older adults aged ≥ 62 years (mean age 73.4 years, 50.3% female) were used from the COVID-19 questionnaire of the Longitudinal Aging Study Amsterdam, a cohort study among community-dwelling older adults in the Netherlands. Cancellation and avoidance of care were assessed by self-report, and covered questions on cancellation of primary care (general practitioner), cancellation of hospital outpatient care, and postponed help-seeking. Respondent characteristics included age, sex, educational level, loneliness, depression, anxiety, frailty, multimorbidity and information on quarantine. Results 35% of the sample reported cancellations due to the COVID-19 situation, either initiated by the respondent (12%) or by healthcare professionals (29%). Postponed help-seeking was reported by 8% of the sample. Multimorbidity was associated with healthcare-initiated cancellations (primary care OR = 1.92, 95% CI = 1.09–3.50; hospital OR = 1.86, 95% CI = 1.28–2.74) and respondent-initiated hospital outpatient cancellations (OR = 2.02, 95% CI = 1.04–4.12). Depressive symptoms were associated with postponed help-seeking (OR = 1.15, 95% CI = 1.06–1.24). Conclusion About one third of the study sample reported cancellation or avoidance of medical care during the first months of the pandemic, and this was more common among those with multiple chronic conditions. How this impacts outcomes in the long term should be investigated in future research.

scholarly journals Frailty Changes Predict Mortality in 4 Longitudinal Studies of Aging

2020 ◽  
Author(s):  
Erwin Stolz ◽  
Emiel O Hoogendijk ◽  
Hannes Mayerl ◽  
Wolfgang Freidl
Keyword(s):  
Mortality Risk ◽  
Clinical Decision Making ◽  
Frailty Index ◽  
Credible Interval ◽  
Clinical Decision ◽  
Population Based ◽  
Time To Event Data ◽  
Longitudinal Aging Study Amsterdam ◽  
Aging Study ◽  
Longitudinal Aging Study

Abstract Background Baseline frailty index (FI) values have been shown to predict mortality among older adults, but little is known about the effects of changes in FI on mortality. Methods In a coordinated approach, we analyzed data from 4 population-based cohorts: the Health and Retirement Study (HRS), the Survey of Health, Ageing and Retirement in Europe (SHARE), the English Longitudinal Survey of Ageing (ELSA), and the Longitudinal Aging Study Amsterdam (LASA), comprising a total of 24 961 respondents (65+), 95 897 observations, up to 9 repeated FI assessments, and up to 23 years of mortality follow-up. The effect of time-varying FI on mortality was modeled with joint regression models for longitudinal and time-to-event data. Results Differences (of 0.01) in current FI levels (hazard ratio [HR] = 1.04, 95% credible interval [CI] = 1.03–1.05) and baseline FI levels (HR = 1.03, 95% CI = 1.03–1.05) were consistently associated with mortality across studies. Importantly, individuals with steeper FI growth also had a higher mortality risk: An increase in annual FI growth by 0.01 was associated with an increased mortality risk of HR = 1.56 (95% CI = 1.49–1.63) in HRS, HR = 1.24 (95% CI = 1.13–1.35) in SHARE, HR = 1.40 (95% CI = 1.25–1.52) in ELSA, and HR = 1.71 (95% CI = 1.46–2.01) in LASA. Conclusions FI changes predicted mortality independently of baseline FI differences. Repeated assessment of frailty and individual’s frailty trajectory could provide a means to anticipate further health deterioration and mortality and could thus support clinical decision making.

scholarly journals Predictors in starting and stopping Internet use between 2002 and 2012 by Dutch adults 65 years and older

2017 ◽  
Vol 25 (3) ◽  
pp. 715-730 ◽  
Author(s):  
Jessica Berner ◽  
Marja Aartsen ◽  
Dorly Deeg
Keyword(s):  
Older Adults ◽  
Psychological Health ◽  
Internet Use ◽  
Cox Regression ◽  
Demographic Predictors ◽  
Longitudinal Aging Study Amsterdam ◽  
Aging Study ◽  
Longitudinal Aging Study ◽  
Normal Cognition ◽  
High Sense

Research has indicated the need to consider the ageing process with technology adoption by older adults. This study examined psychological, health, social and demographic predictors with starting and stopping Internet use by older adults (2002–2012). Data were used from the Longitudinal Aging Study Amsterdam, and Cox regression analyses were done to test predictors over time with starting or stopping Internet use. The results indicated that older adults starting to use the Internet (11.6%) outnumbered those who stopped (3.1%). Psychological, health, social and demographic predictors separately predicted starting and stopping Internet use. Starting use was predicted by lower age, higher education, normal cognition and living alone. The predictors in stopping use were being younger, having a high sense of mastery and being higher educated. The results need to be interpreted as indicative due to the small number of stoppers. Suggestions are made on how to improve usability.

Hoe pakt de hogere AOW-leeftijd uit?

2021 ◽  
Vol 37 (2) ◽  
pp. 137-160
Author(s):  
Dorly J.H. Deeg ◽  
Mariska van der Horst ◽  
Cécile R.L. Boot
Keyword(s):  
Content Type ◽  
Longitudinal Aging Study Amsterdam ◽  
Aging Study ◽  
Longitudinal Aging Study

Samenvatting Door de recente verhoging van de AOW-leeftijd in Nederland is een nieuwe groep ontstaan: de betaald werkenden tussen de oude AOW-leeftijd van 65 jaar en de nieuwe AOW-leeftijd, de ‘65-pre-AOW’ers’. In een eerste kenschets van deze groep vergelijken wij hun werk- en individuele kenmerken met die van de 61-64-jarige werkers, de ‘61-64’ers’, en de werkers boven de nieuwe AOW-leeftijd, de ‘post-AOW’ers’. In 2019 verschaften 764 61-70-jarige deelnemers aan de voor Nederland representatieve Longitudinal Aging Study Amsterdam gegevens over sociaal-demografische kenmerken, financiële situatie, gezondheid, werkcapaciteit en werkkenmerken. Het aandeel werkenden verschilde duidelijk naar leeftijd: 67% bij de 61-64’ers, 48% bij de 65-pre-AOW’ers en 16% bij de post-AOW’ers. Ook het gemiddeld aantal werkuren per week verschilde en bedroeg 31, 27 respectievelijk 18 uren. Voor de werkende 61-64’ers en 65-pre-AOW’ers was hun financiële situatie een belangrijke drijfveer om door te werken. De werkende 61-64’ers en 65-pre-AOW’ers hadden minder gezondheidsbeperkingen dan de werkende post-AOW’ers, maar de werkende post-AOW’ers rapporteerden een hogere werkcapaciteit. De werkende 65-pre-AOW’ers vormden een minderheid van hun leeftijdsgenoten. Om te bevorderen dat meer mensen tot de AOW-leeftijd doorwerken, zeker aangezien deze hoger wordt, zouden de arbeidsomstandigheden beter aangepast moeten worden aan de werkcapaciteit in deze leeftijdsgroep.

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