FC28-06 - ADHD in elderly. First data from a dutch epidemiological cohort (LASA study)

2011 ◽  
Vol 26 (S2) ◽  
pp. 1976-1976
Author(s):  
J.J.S. Kooij ◽  
Keyword(s):  
Age Groups ◽  
Epidemiological Data ◽  
Diagnostic Interview ◽  
Longitudinal Aging Study Amsterdam ◽  
Aging Study ◽  
General Dutch Population ◽  
Somatic Disorders ◽  
Longitudinal Aging Study ◽  
Treatment Facilities ◽  
The Impact

IntroductionADHD occurs in 3–5% of children and adults. Yet little is known about ADHD in elderly.ObjectivesTo review the literature and to present first Dutch epidemiological data on ADHD in elderly (VUmc/LASA and PsyQ).AimsThe study aims to estimate the prevalence of ADHD in eldery and to correlate symptoms of ADHD with comorbidity patterns, cognitive decline and somatic disorders. This knowledge may help predict the future of the current group of adults with ADHD.MethodsThe Longitudinal Aging Study Amsterdam (LASA) included a selfreport questionnaire for ADHD in 2009 in around 1500 elderly, aged 63–94 years. From those with low, intermediate and high scores, a random sample was interviewed using the DIVA, a structured Diagnostic Interview for ADHD in adults (N = 234).ResultsFirst data on prevalence of ADHD in elderly in the general Dutch population will be discussed. The long term consequences of the persistence of the disorder in adults and elderly, and the impact for the organisation of treatment of this lifespan disorder will be reviewed.ConclusionsThe continuity of ADHD symptoms and impairment from childhood into to old age, may pose psychiatric services for important questions like the usefulness of separate treatment facilities for different age groups in case of a lifespan disorder like ADHD.

scholarly journals Prevalence of attention-deficit hyperactivity disorder in older adults in the Netherlands

2012 ◽  
Vol 201 (4) ◽  
pp. 298-305 ◽  
Author(s):  
Marieke Michielsen ◽  
Evert Semeijn ◽  
Hannie C. Comijs ◽  
Peter van de Ven ◽  
Aartjan T. F. Beekman ◽  
...  
Keyword(s):  
Older Adults ◽  
Attention Deficit Hyperactivity Disorder ◽  
The Netherlands ◽  
Attention Deficit ◽  
Diagnostic Interview ◽  
Elderly Adults ◽  
Hyperactivity Disorder ◽  
Longitudinal Aging Study Amsterdam ◽  
Aging Study ◽  
Longitudinal Aging Study

BackgroundLittle is known about the prevalence of attention-deficit hyperactivity disorder (ADHD) among older adults.AimsTo estimate the prevalence of the syndromatic and symptomatic DSM-IV ADHD diagnosis in older adults in The Netherlands.MethodData were used from the Longitudinal Aging Study Amsterdam (LASA). At baseline, 1494 participants were screened with an ADHD questionnaire and in 231 respondents a structured diagnostic interview was administered. The weighted prevalence of ADHD was calculated.ResultsThe estimated prevalence rate of syndromatic ADHD in older adults was 2.8%; for symptomatic ADHD the rate was 4.2%. Younger elderly adults (60–70 years) reported significantly more ADHD symptoms than older elderly adults (71–94 years).ConclusionsThis is the first epidemiological study on ADHD in older persons. With a prevalence of 2.8% the study demonstrates that ADHD does not fade or disappear in adulthood and that it is a topic very much worthy of further study.

scholarly journals Multiple domains of functioning in older adults during the pandemic: design and basic characteristics of the Longitudinal Aging Study Amsterdam COVID-19 questionnaire

2021 ◽  
Author(s):  
Emiel O. Hoogendijk ◽  
Marleen H. L. van der Horst ◽  
Jan Poppelaars ◽  
Majogé van Vliet ◽  
Martijn Huisman
Keyword(s):  
Older Adults ◽  
Cohort Study ◽  
The Netherlands ◽  
Longitudinal Aging Study Amsterdam ◽  
Aging Study ◽  
Longitudinal Aging Study ◽  
Basic Characteristics ◽  
Multiple Domains ◽  
The Impact ◽  
Selection Of

AbstractThe Longitudinal Aging Study Amsterdam (LASA) is an ongoing cohort study among older adults in the Netherlands. Respondents are usually interviewed approximately every 3 years. Because of the exceptional situation of the COVID-19 pandemic, it was decided to add an extra assessment in between, consisting of a postal/digital questionnaire with measures assessing the impact of the COVID-19 situation, as well as a selection of measures from regular LASA measurement cycles covering the physical, social and mental domains. In total, 1128 LASA respondents aged 62–102 years provided data, just after the first wave of the pandemic in 2020. This paper describes the methods and design of the LASA COVID-19 questionnaire, as well as the basic characteristics of the sample, including an overview of impactful situations experienced by older adults during the first months of the pandemic. The data of the questionnaire may be used to study the impact of the COVID-19 pandemic on multiple domains of functioning in older adults.

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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