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Aims: Socio-economic inequalities originate from several channels, one of which is family origins, with clear effects on people’s health. This paper aims to evaluate the role played by social mobility in determining health inequalities, relying on Blau and Duncan’s status attainment model and focusing specifically on two moments of social reproduction of inequalities: one inter-generational, based on the transmission of resources from the family of origin, the other intra-generational, related to the capitalisation of economic resources to maximise well-being. Methods: Multi-group models of structural equations were used to examine the direct and indirect effects of parental cultural background, education and economic conditions of respondents on self-perceived health in 28 countries, relying on the European Social Survey (N=38,879). Results: Overall, the results confirmed the presence of an inter-generational transmission of social and health status. Different models of transmission of health inequalities emerged among the countries considered. Countries characterised by a social democratic welfare regime showed higher social mobility and fewer health inequalities, although in correspondence with a prominent role of economic factors in determining health conditions. On the other hand, in countries where social mobility is lower, health inequalities are more pronounced, yet driven by factors others than economics, such as socio-cultural origins. Conclusions: The presence of a higher economic-health gradient in social democratic countries – notwithstanding their egalitarian and universal welfare policies – provides support for the existence of a Nordic paradox in relation to health inequalities.

Background In February 2021, the spread of a new variant of SARS-CoV-2 in the Lombardy Region, Italy caused concerns about school-aged children as a source of contagion, leading local authorities to adopt an extraordinary school closure measure. This generated a debate about the usefulness of such an intervention in light of the trade-off between its related benefits and costs (e.g. delays in educational attainment, impact on children and families’ psycho-physical well-being). This article analyses the epidemiological impact of the school closure intervention in the Milan metropolitan area. Methods Data from the Agency for Health Protection of the Metropolitan City of Milan allowed analysing the trend of contagion in different age classes before and after the intervention, adopting an interrupted times series design, providing a quasi-experimental counterfactual scenario. Segmented Poisson regression models of daily incident cases were performed separately for the 3–11-year-old, the 12–19-year-old, and the 20+-year-old age groups, examining the change in the contagion curves after the intervention, adjusting for time-varying confounders. Kaplan-Meier survival curves and Cox regression were used to assess the equality of survival curves in the three age groups before and after the intervention. Results Net of time-varying confounders, the intervention produced a daily reduction of the risk of contagion by 4% in those aged 3–11 and 12–19 (IRR = 0.96) and by 3% in those aged 20 or more (IRR = 0.97). More importantly, there were differences in the temporal order of contagion decrease between the age groups, with the epidemic curve lowering first in the school-aged children directly affected by the intervention, and only subsequently in the adult population, which presumably indirectly benefitted from the reduction of contagion among children. Conclusion Though it was not possible to completely discern the effect of school closures from concurrent policy measures, a subs

Objective Low individual socioeconomic status (SES) is known to be associated with a higher risk of type 2 diabetes mellitus (T2DM), but the extent to which the local context in which people live may influence T2DM rates remains unclear. This study examines whether living in a low property value neighbourhood is associated with higher rates of T2DM independently of individual SES. Research Design and Methods Using cross-sectional data from the Maastricht Study (2010-2013) and geographical data from Statistics Netherlands, multilevel logistic regression was used to assess the association between neighbourhood property value and T2DM. Individual SES was based on education, occupation and income. Of the 2,056 participants (aged 40–75 years), 494 (24%) were diagnosed with T2DM. Results Individual SES was strongly associated with T2DM, but a significant proportion of the variance in T2DM was found at the neighbourhood level (VPC=9.2%; 95% CI=5.0% - 16%). Participants living in the poorest neighbourhoods had a 2.38 times higher odds ratio of T2DM compared to those living in the richest areas (95% CI=1.58 - 3.58), independently of individual SES. Conclusions Neighbourhood property value showed a significant association with T2DM, suggesting the usefulness of area-based programmes aimed at improving neighbourhood characteristics in order to tackle inequalities in T2DM.

La presente tesi di dottorato si propone di indagare lo stato delle disuguaglianze di salute nella città di Milano. Si parla di disuguaglianze di salute in presenza di differenze negli stati di salute delle persone all’interno di una popolazione, o tra gruppi di individui, quando queste sono attribuibili alle condizioni socioeconomiche delle persone, in virtù dell’iniqua distribuzione di risorse sociali, economiche, culturali e relazionali che consentono a ciascuno di raggiungere il proprio potenziale di salute. In aggiunta, il raggiungimento di uno stato di salute ottimale può essere influenzato anche dalle caratteristiche materiali e psicosociali del contesto di residenza, esponendo coloro che vivono in contesti svantaggiati a maggiori rischi per la loro. Muovendo dai presupposti teorici e concettuali della Fundamental Causes Theory e dall’approccio alla salute basato sui determinanti sociali questo lavoro si pone l’obiettivo di fornire una mappatura della distribuzione delle condizioni di salute all’interno del territorio milanese, contribuendo altresì al dibattito circa la presenza di neighbourhood effects sulla salute. Il lavoro svolto si basa sull’utilizzo di un approccio interdisciplinare, nel quale si fa ricorso a metodi e strumenti di tipo sociologico, epidemiologico, e geografico. Uno studio dettagliato della distribuzione sociale e territoriale di una patologia nei diversi quartieri della città è ad oggi assente, abbiamo dunque deciso di concentrarci sul Diabete Mellito di Tipo 2 alla luce della sua tipica associazione sia con le condizioni socioeconomiche individuali che con le caratteristiche dell’ambiente di vita. Facendo ricorso all’utilizzo inedito di dati amministrativi del sistema sanitario forniti dall’Unità di Epidemiologia dell’Agenzia di Tutela della Salute della Città Metropolitana di Milano, in combinazione con i dati provenienti dall’ultimo censimento della popolazione italiana, abbiamo condotto uno studio caso-controllo multilivello, This PhD dissertation is aimed at studying health inequalities in the Italian city of Milan. Health inequalities can be defined as differences in people’s health across the population and between population groups, which are attributable to individuals’ socioeconomic status as a consequence of the uneven distribution of social, economic, cultural, and relational resources that enable people to reach their health potential (Sarti et al., 2011). Moreover, people’s health may also be affected by psychosocial and physical characteristics of the local environment in which they live, so that those living in disadvantaged areas may be at a higher risk of being subjected to worse health conditions (Macintyre and Ellaway, 2000; 2003). Moving from the theoretical and conceptual foundations of the Fundamental Causes Theory (Link and Phelan 1995; Phelan et al., 2010) and the Social Determinants of Health approach ( Solar and Irwin, 2010; Wilkinson and Marmot, 2003) this work intends to provide both an accurate mapping of the distribution of health conditions within the Milanese territory – and its association with individual and contextual socioeconomic status – and to contribute to the debate on the presence of neighbourhood effects on health (Diez-Roux, 2004; Galster, 2012). We thus relied on an interdisciplinary approach, making use of tools and methods from sociology, epidemiology, and geography. A fine-grained study of disease distribution among the neighbourhoods of the city of Milan was missing, and we opted to focus on Type 2 Diabetes Mellitus in light of its typical association with both individual socioeconomic conditions (Agardh et al., 2011) and environmental characteristics (Den Braver et al., 2018). Relying on the unprecedented use of administrative healthcare data provided by the Epidemiology Unit of the Health Protection Agency of the Metropolitan City of Milan, linked with data from the most recent Italian census, we performed a multilevel case-control study, a

La salute è influenzata da una serie di fattori tra loro in interazione. Essi possono essere ricondotti a tre dimensioni: condizioni sociali, fattori biologici e caratteristiche contestuali o ecologiche. Un’ampia letteratura riconosce nelle condizioni strutturali un importante determinante del deterioramento delle condizioni di salute degli individui. Sono moltissimi gli studi che documentano un’influenza sulla salute delle tradizionali variabili di stratificazione sociale, come il titolo di studio e la condizione occupazionale. Tuttavia, sappiamo anche che il peggioramento delle condizioni socio-economiche si trasmette solo in parte in modo diretto. Sussistono infatti numerosi effetti trasversali e indipendenti dalla posizione socio-economica legati a stili di vita individuali e familiari. Descrivere le dinamiche di queste relazioni, anche alla luce dei cambiamenti a livello macro, come quelli imposti dalla crisi economica, appare un compito di centrale importanza. Alcuni autori, ad esempio, sostengono che fasi di recessione economica producano effetti ambivalenti sulle condizioni di salute (Karanikolos et al. 2013; Merino 2013; Suhrcke & Stuckler 2012; Ruhm 2000). In questo senso si evidenzia che nei periodi di crisi alcuni comportamenti insalubri tendano a ridursi per una serie di ragioni contingenti, tra cui la minore disponibilità economica di cui gli individui beneficiano. Ad esempio, la crescita delle tasse sull’alcol e sul tabacco per necessità finanziarie avrebbero indotto una riduzione di questi comportamenti pericolosi per la salute. Ancora, si sarebbe osservata in molti paesi una diminuzione delle morti per incidenti stradali, poiché gli automobilisti si sarebbero indirizzati verso mezzi di trasporto meno costosi o avrebbero ridotto i loro viaggi. D’altra parte, comprendere ed esplorare come le abitudini insalubri possano essersi modificate entro i diversi gruppi occupazionali con l’avvento della crisi può aiutare a mettere in atto pratiche di Work Healt