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Whereas a great deal of literature has been devoted to investigating the link between intergenerational social mobility and health, the few studies that have examined the association between social mobility and life satisfaction have produced conflicting findings. In the present study, we attempt to rectify several shortcomings common to previous work by examining the association between intergenerational social mobility and both life satisfaction and self-rated health as measured in later-life. Our sample consisted of individuals born in Scotland in 1936, who took part in the Scottish Mental Survey 1947 and were subsequently followed-up into later-life. Regression analyses demonstrated that satisfaction with life at age 78 was not significantly predicted by childhood or adulthood socioeconomic status, or by the amount of social mobility experienced from parental occupational social class. In contrast, self-rated health at age 78 was significantly predicted by adult socioeconomic status and by education, but not by social mobility from parental occupational social class. These results suggest that efforts to promote upwards social mobility may not result in better subjective wellbeing, despite the apparent benefits for health.

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Background Loneliness is a growing public health issue in the developed world. Among older adults, loneliness is a particular challenge, as the older segment of the population is growing and loneliness is comorbid with many mental as well as physical health issues. Comorbidity and common cause factors make identifying the antecedents of loneliness difficult, however, contemporary machine learning techniques are positioned to tackle this problem. Methods This study analyzed four cohorts of older individuals, split into two age groups – 45–69 and 70–79 – to examine which common psychological and sociodemographic are associated with loneliness at different ages. Gradient boosted modeling, a machine learning technique, and regression models were used to identify and replicate associations with loneliness. Results In all cohorts, higher emotional stability was associated with lower loneliness. In the older group, social circumstances such as living alone were also associated with higher loneliness. In the younger group, extraversion's association with lower loneliness was the only other confirmed relationship. Conclusions Different individual and social factors might underlie loneliness differences in distinct age groups. Machine learning methods have the potential to unveil novel associations between psychological and social variables, particularly interactions, and mental health outcomes.