No abstract

Grandparents are becoming an increasingly important source of childcare. However, caring for grandchildren may have negative health consequences particularly for grandparents with intensive commitments such as those with primary care responsibilities. To date most studies on this issue are based on cross-sectional data and do not take earlier life circumstances into account. Thus, it is not known whether (or to what extent) the relationship between grandparental childcare and health is due to cumulative advantage or disadvantage throughout the lifecourse or to the impact of grandchild care per se. Employing data from waves 1-3 of the Survey of Health, Ageing and Retirement in Europe we investigated the longitudinal relationship between grandparental childcare (i.e. intensive and non-intensive) and health once cumulative histories of advantage or disadvantage are taken into account. We used latent class analysis to categorise respondents according to childhood socio-economic and health conditions drawing on life history information. Experiences in adulthood (e.g. periods of ill health) were also captured. We created a latent continuous physical health variable based on self- and observer-measured indicators. OLS regression was used to explore the association between physical health at wave 2 and grandparental childcare at baseline, controlling for conditions in childhood and adulthood, and for health and socio-economic characteristics. We found a positive longitudinal association between grandchild care and health even after earlier life health and socio-economic conditions were taken into account. However, this significant association was found only for grandmothers, and not grandfathers. Our results suggesting the health benefits of grandchild care are important given the widespread provision of grandparental childcare in Europe. However, further research on underlying mechanisms and causal pathways between grandchild care and grandparent health, as well as on gender differences in the pattern of association, is needed.

This study investigates the variations by older people's socio-economic status (SES) (i.e. educational level and social class) in the use of informal and formal help from outside the household in Great Britain, Italy, Belgium and The Netherlands. In all these countries, it was older people in low SES groups who mostly used such help. Multinomial logistic regression analyses showed that, in each country and for both types of help, there were SES gradients in the utilisation of both formal and informal care, and that differences in age, health and marital status largely accounted for the former but not the latter. Cross-national differences in the use of both informal and formal help remained when variations in sex, age, SES, health, marital status, home ownership and the use of privately-paid help were taken into account. Significant interaction effects were found, which indicated that older people in low SES groups in Great Britain and The Netherlands had higher odds of using informal help from outside the household than their counterparts in Italy, and similarly that those in The Netherlands were more likely to use formal help than their Italian peers. The results are discussed in relation to the cultural differences and variations in the availability of formal services among the countries.

BackgroundMany adults with autism spectrum disorder (ASD) remain undiagnosed. Specialist assessment clinics enable the detection of these cases, but such services are often overstretched. It has been proposed that unnecessary referrals to these services could be reduced by prioritizing individuals who score highly on the Autism-Spectrum Quotient (AQ), a self-report questionnaire measure of autistic traits. However, the ability of the AQ to predict who will go on to receive a diagnosis of ASD in adults is unclear.MethodWe studied 476 adults, seen consecutively at a national ASD diagnostic referral service for suspected ASD. We tested AQ scores as predictors of ASD diagnosis made by expert clinicians according to International Classification of Diseases (ICD)-10 criteria, informed by the Autism Diagnostic Observation Schedule-Generic (ADOS-G) and Autism Diagnostic Interview-Revised (ADI-R) assessments.ResultsOf the participants, 73% received a clinical diagnosis of ASD. Self-report AQ scores did not significantly predict receipt of a diagnosis. While AQ scores provided high sensitivity of 0.77 [95% confidence interval (CI) 0.72–0.82] and positive predictive value of 0.76 (95% CI 0.70–0.80), the specificity of 0.29 (95% CI 0.20–0.38) and negative predictive value of 0.36 (95% CI 0.22–0.40) were low. Thus, 64% of those who scored below the AQ cut-off were ‘false negatives’ who did in fact have ASD. Co-morbidity data revealed that generalized anxiety disorder may ‘mimic’ ASD and inflate AQ scores, leading to false positives.ConclusionsThe AQ's utility for screening referrals was limited in this sample. Recommendations supporting the AQ's role in the assessment of adult ASD, e.g. UK NICE guidelines, may need to be reconsidered.

Objectives:Grandparents are an important source of childcare. However, caring for grandchildren may affect grandparents’ health in both positive and negative ways. Our study examines the association between grandparental childcare and grandparents’ health at 2- and 4-year follow-up.Method:Our study is based on grandparents aged 50 and older from Waves 1–4 of the Survey of Health, Ageing and Retirement in Europe (SHARE). Using multivariate analyses, we investigated associations between intensive and nonintensive grandparental childcare at Wave 2 and subsequent health (self-rated health, depressive symptoms, and disability) controlling for covariates and health at baseline. Associations between changes over time in grandparental childcare and health at follow-up were also explored. Multiple imputation techniques and sensitivity analyses were undertaken to investigate possible biases arising from sample attrition.Results:Grandparents looking after grandchildren, whether intensively or nonintensively, experienced some health benefits. Associations strengthened when attrition was accounted for, particularly if it is assumed that those who dropped out of the study were in poor health.Discussion:Our results show better health among grandparents who provided grandchild care in the European countries studied. These results are important given the widespread provision of grandchild care in Europe.