scholarly journals Child care by grandparents: changes between 1992 and 2006

2014 ◽  
Vol 35 (6) ◽  
pp. 1318-1334 ◽  
Author(s):  
TEUN GEURTS ◽  
THEO VAN TILBURG ◽  
ANNE-RIGT POORTMAN ◽  
PEARL A. DYKSTRA
Keyword(s):  
Child Care ◽  
Maternal Employment ◽  
Adult Daughters ◽  
Employment Rate ◽  
Longitudinal Aging Study Amsterdam ◽  
Aging Study ◽  
Provide Child Care ◽  
Longitudinal Aging Study ◽  
Multi Level ◽  
Employment Rates

ABSTRACTThis study considers changes in child care by grandparents between 1992 and 2006 in relation to changes in mothers' need for and grandparents' opportunity to provide child care. Data from the Longitudinal Aging Study Amsterdam are used to compare two cohorts of Dutch grandparents aged 58–68 (N1992=181; N2006=350). Multi-level regression analysis shows that the probability that grandparents care for their adult daughters' children (N1992=261; N2006=484) increased from 0.23 to 0.41. The increase can be ascribed to higher maternal employment rates, growth in single motherhood, reduced travel time and a decline in the number of adult children. The increase would have been higher if the employment rate of grandparents had not risen.

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.

The Longitudinal Aging Study Amsterdam (LASA): An Overview

2021 ◽  
pp. 5065-5070
Author(s):  
Erik J. Timmermans ◽  
Emiel O. Hoogendijk ◽  
Martijn Huisman
Keyword(s):  
Longitudinal Aging Study Amsterdam ◽  
Aging Study ◽  
Longitudinal Aging Study

Child Care and Child Care Policy: Existing Policies, Their Effects, and Reforms

2019 ◽  
Vol 686 (1) ◽  
pp. 310-338 ◽  
Author(s):  
V. Joseph Hotz ◽  
Matthew Wiswall
Keyword(s):  
United States ◽  
Child Care ◽  
Low Income ◽  
Maternal Employment ◽  
The United States ◽  
Care Services ◽  
Children And Parents ◽  
Provide Child Care ◽  
Policies And Programs ◽  
Low Income Mothers

We analyze policies that support and affect the provision and costs of child care in the United States. These policies are motivated by at least three objectives: (1) improving the cognitive and social development of young children, (2) facilitating maternal employment, and (3) alleviating poverty. We summarize this policy landscape and the evidence on the effects they have on the development of children and parents. We provide a summary of the use and costs of nonparental child care services; and we summarize existing policies and programs that subsidize child care costs, provide child care to certain groups, and regulate various aspects of the services provided in the United States. We then review the evidence on the effects that child care policies have on these objectives. We go on to discuss the existing evidence of their effects on various outcomes. Finally, we outline three reform proposals that will both facilitate work by low-income mothers and improve the quality of child care that their children receive.

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