Survival to extreme ages clusters within families. However, identifying genetic loci conferring longevity and low morbidity in such longevous families is challenging. There is debate concerning the survival percentile that best isolates the genetic component in longevity. Here, we use three-generational mortality data from two large datasets, UPDB (US) and LINKS (Netherlands). We study 20,360 unselected families containing index persons, their parents, siblings, spouses, and children, comprising 314,819 individuals. Our analyses provide strong evidence that longevity is transmitted as a quantitative genetic trait among survivors up to the top 10% of their birth cohort. We subsequently show a survival advantage, mounting to 31%, for individuals with top 10% surviving first and second-degree relatives in both databases and across generations, even in the presence of non-longevous parents. To guide future genetic studies, we suggest to base case selection on top 10% survivors of their birth cohort with equally long-lived family members.

This study scrutinizes gender differences in adolescent problem behaviour and its potential determinants, simultaneously taking into account the individual and contextual level, including personality, family and country characteristics. Using the 2010 EU Kids Online Survey, we estimate multilevel models on 18,027 individuals from 24 European countries. In line with earlier research, we find that boys engage more in adolescent problem behaviour than girls. The gender gap is largely explained by personality traits, such as self-control. Whereas the influence of self-control does not differ between boys and girls, the association between conduct problems and problem behaviour is stronger for boys than for girls. Family factors are relevant but not gender specific in their impact on problem behaviour. European countries differ with respect to the gender gap in adolescent problem behaviour, which is partly explained by the societal level of gender inequality.

Research on early-life mortality in contemporary and historical populations has shown that infant and child mortality tend to cluster in a limited number of high-mortality families, a phenomenon known as 'mortality clustering'. This paper is the first to review the literature on the role of the family in early-life mortality. Contemporary results, methodological and theoretical shortfalls, recent developments, and opportunities for future research are all discussed in this review. Four methodological approaches are distinguished: those based on sibling deaths, mother heterogeneity, thresholds, and excess deaths in populations. It has become clear from research to date that the death of an older child harms the survival chances of younger children in that family, and that fertility behaviour, earlier stillbirths, remarriages, and socio-economic status all explain mortality clustering to some extent.

In demographic research large-scale individual-level data have become increasingly available. At the same time, it remains unknown how varying sources affect the reconstruction of individual life courses and families in databases. In this paper, we conduct individual-level comparisons of family and life course reconstructions of 495 individuals simultaneously present in two well-known Dutch datasets: LINKS-Zeeland and the HSN. The first dataset is based on a province’s full population vital event registration data; the other is based on a national sample of birth certificates, after which individuals were followed in population registers. We compare indicators of fertility, marriage, mortality, and measurements of occupational status of individuals found in both databases and conclude that reconstructions in both the HSN and LINKS reflect each other well. LINKS provides more complete family information on siblings and parents, whereas the HSN provides more complete life course information, especially for individuals who migrate out of Zeeland.

It remains unknown how different types of sources affect the reconstruction of life courses and families in large-scale databases increasingly common in demographic research. Here, we compare family and lifecourse reconstructions for 495 individuals simultaneously present in two well-known Dutch data sets: LINKS, based on the Zeeland province's full-population vital event registration data (passive registration), and the Historical Sample of the Netherlands (HSN), based on a national sample of birth certificates, with follow-up of individuals in population registers (active registration). We compare indicators of fertility, marriage, mortality, and occupational status, and conclude that reconstructions in the HSN and LINKS reflect each other well: LINKS provides more complete information on siblings and parents, whereas the HSN provides more complete life-course information. We conclude that life-course and family reconstructions based on linked passive registration of individuals constitute a reliable alternative to reconstructions based on active registration, if case selection is carefully considered.