The present study seeks to evaluate the potential of a more cost-efficient animal welfare assessment by investigating the association between animal welfare indices (AWI) based on different data sources, namely register data (AWI 1, ie routine registrations, such as treatment, reproduction and abattoir data) and resource data (AWI 2, ie barn design and equipment) validated against animal-based data (AWI 3, ie direct animal observations). AWIs were created based on data from 73 Danish dairy herds. Indices for each information source were created by a weighted linear aggregation of herd level incidence and prevalence of the given indicators. Indicator weights were assigned by expert opinion for each of the AWIs. Linear dependency between the high cost AWI 3 and the two low cost AWI 1 and AWI 2 was investigated. Additionally, different time-periods of 90, 180 and 365 days prior to the actual on-farm collection of AWI 3 measures were evaluated in order to find the most predictive time-period of AWI 1. Predictive key indicators for on-farm animal welfare were investigated in uni- and multivariable analyses. Significant associations were found between the AWI 1 based on incidences 180 days prior to the farm visit and the AWI 3. Predictive key indicators were milk yield, abattoir and mortality data. Predictive models for 180 and 365 days prior to the on-farm assessment consisted of abattoir indicators, while the model 90 days prior included mortality and milk yield. The limited associations between indices and the predictive key indicators and models suggest that these cost-effective welfare assessments are not suitable to stand alone and cannot replace the actual animal welfare assessed by on-farm collection of animal-based measures.

Older people's ability to thrive independently of their adult children is an important feature of a universalistic welfare system. However, population ageing puts this notion under stress. In separate multinomial logistic regression models for older men and women, we examined whether adult children's gender, number and proximity were associated with older parents’ relocations into residential care facilities, and whether the effects of these children's characteristics on older parents’ institutionalisation vary by parents’ severe health problems, operationalised as closeness to death – specifically, dying within the two-year observation period. Analyses were based on the Swedish register data between 2014 and 2016 (N = 696,007 person-years). Older parents with at least one co-resident child were less likely to move or become institutionalised than those without a co-resident child. We did not find a relationship between older adults’ institutionalisation and the closest child's gender. The negative effect of having a non-resident child living nearby on the likelihood of becoming institutionalised was more pronounced for mothers than fathers. Having a child nearby decreased the likelihood of moving to an institution more for mothers who had severe health problems than for those in better health. We found no evidence of a relationship between number of children and likelihood of institutionalisation.

Reducing social assistance dependency is high on the political agenda; labour market and social exclusion of youth, in particular, has been considered worrisome. With these policy objectives and societal considerations in mind we set to study the association between health problems, with a specific focus on mental health, and the duration of social assistance receipt among young adults in Finland. Our analyses are based on rich register data encompassing the total population in the metropolitan area of Finland from 2005 to 2016. We follow a cohort of new social assistance recipients (n=36,728) aged 18–34 for a maximum of 60 months using Cox proportional hazard model. The results show a strong association between mental health problems and duration of social assistance receipt. The association was the strongest among those aged 18–24. Some differences in the strength of the association were found for different psychiatric diagnoses. On the other hand, somatic diagnoses were only weakly associated with duration of social assistance receipt. Mental health problems appear to be an important obstacle for exiting social assistance and this should be taken into account when governments aim to decrease welfare dependency and reform the last-resort financial aid.

The assessment of animal welfare can include resource-based or animal-based measures. Official animal welfare inspections in Denmark primarily control compliance with animal welfare legislation based on resource measures (e.g. housing system) and usually do not regard animal response parameters (e.g. clinical and behavioural observations). Herds selected for welfare inspections are sampled by a risk-based strategy based on existing register data. The aim of the present study was to evaluate register data variables as predictors of dairy herds with violations of the animal welfare legislation (VoAWL) defined as occurrence of at least one of the two most frequently violated measures found at recent inspections in Denmark, namely (a) presence of injured animals not separated from the rest of the group and/or (b) animals in a condition warranting euthanasia still being present in the herd. A total of 25 variables were extracted from the Danish Cattle Database and assessed as predictors using a multivariable logistic analysis of a data set including 73 Danish dairy herds, which all had more than 100 cows and cubicle loose-housing systems. Univariable screening was used to identify variables associated with VoAWL at a P-value<0.2 for the inclusion in a multivariable logistic regression analysis. Backward selection procedures identified the following variables for the final model predictive of VoAWL: increasing standard deviation of milk yield for first lactation cows, high bulk tank somatic cell count (⩾250 000 cells/ml) and suspiciously low number of recorded veterinary treatments (⩽25 treatments/100 cow years). The identified predictors may be explained by underlying management factors leading to impaired animal welfare in the herd, such as poor hygiene, feeding and management of dry or calving cows and sick animals. However, further investigations are required for causal inferences to be established.

We investigated the extent to which the geographic proximity of adult children affected the relocations of older people in the Netherlands in 2008. A major contribution of this study is the examination of the differentiation between relocation to care institutions and elsewhere. Data from the Dutch population register linked to complementary datasets were analysed for nearly one million inhabitants aged 75 and above, using multinomial logistic regression models to estimate the effects of intergenerational proximity and of other factors on the propensity to relocate to an institution and elsewhere. An interaction of proximity with partnership status as an indicator of the presence of an important care provider was considered. We found that older people were less likely to move elsewhere when their children were living very close by, and were more likely to do so when their children were living farther away. Having children living close was negatively associated with the likelihood of moving to a care institution. Very close proximity had an additional negative effect on the propensity of older people with a partner to relocate elsewhere whereas the negative effect was less for older people without a partner on moving elsewhere. Our findings did, however, show that (recently) widowed people were more likely to move elsewhere when their children were living more than 40 kilometres away.