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, aimed at assessing the relative impact of individual and neighbourhood socioeconomic status on the risk of developing the disease. Our results confirmed the presence of a social gradient in the distribution of the disease, with an increasing prevalence in correspondence with lower educational attainment. Moreover, we found evidence of a spatial heterogeneity in the distribution of the disease, which was not entirely explained by individual socioeconomic status: the association between neighbourhood socioeconomic status and the risk of developing Type 2 Diabetes Mellitus remained statistically significant even after accounting for individual-level variables, suggesting a role of the context in shaping risk exposure independently of the clustering of individuals with similar characteristics in the same areas. In line with the existing literature, we found that individual characteristics still play a major role in explaining risk exposure, but also that the context where people live has a non-negligible effect and should be encompassed in the design of policies aimed at tackling the disease and reducing social inequalities at its onset. Despite playing a role in mitigating disparities in relation to disease management and quality of care, there is evidence that the healthcare system alone is not able to effectively tackle existing inequalities, and that broader actions intervening in the structure that contribute to the generation and perpetuation of social and spatial inequalities are needed.
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, con l’obiettivo di esaminare l’impatto relativo delle condizioni socioeconomiche individuali e del quartiere di residenza sul rischio di sviluppare la patologia in esame. I risultati hanno confermato la presenza di un gradiente sociale nella patologia, con una più alta prevalenza rintracciabile nelle persone con titolo di studio più basso. È stata inoltre riscontrata un’eterogeneità nella distribuzione territoriale della patologia, la quale non viene tuttavia spiegata unicamente dalle condizioni socioeconomiche individuali: l’associazione tra condizioni socioeconomiche del quartiere di residenza e rischio di sviluppo del Diabete Mellito di Tipo 2 risulta infatti essere statisticamente significativa anche controllando per le variabili individuali, suggerendo un ruolo del contesto di residenza nel plasmare l’esposizione al rischio indipendentemente dalla concentrazione di individui con caratteristiche simili nelle stesse aree. In linea con la letteratura di riferimento, è stato riscontrato che le caratteristiche individuali giocano un ruolo predominate nel determinare l’esposizione, ciononostante il quartiere dove le persone vivono esercita un effetto non trascurabile sulla salute e necessita di essere tenuto in considerazione nello sviluppo di politiche volte a contrastare l’incidenza della patologia e a ridurre le disuguaglianze sociali connaturate alla sua insorgenza. Pur essendo parzialmente in grado di mitigare le disparità in ambito di gestione della patologia e qualità delle cure, è evidente che il sistema sanitario da solo non può essere in grado di porre rimedio alle disuguaglianze sociali esistenti nel Diabete Mellito di Tipo 2, evidenziando il bisogno di interventi più ampi capaci di agire sulla struttura che contribuisce a generare e perpetuare le disuguaglianze sociali e territoriali in relazione alla patologia.
(2020). Social and Spatial Inequalities in Health in Milan: the Case of Type 2 Diabetes Mellitus. (Tesi di dottorato, Università degli Studi di Milano-Bicocca, 2020).
Social and Spatial Inequalities in Health in Milan: the Case of Type 2 Diabetes Mellitus
CONSOLAZIO, DAVID
2020
Abstract
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, aimed at assessing the relative impact of individual and neighbourhood socioeconomic status on the risk of developing the disease. Our results confirmed the presence of a social gradient in the distribution of the disease, with an increasing prevalence in correspondence with lower educational attainment. Moreover, we found evidence of a spatial heterogeneity in the distribution of the disease, which was not entirely explained by individual socioeconomic status: the association between neighbourhood socioeconomic status and the risk of developing Type 2 Diabetes Mellitus remained statistically significant even after accounting for individual-level variables, suggesting a role of the context in shaping risk exposure independently of the clustering of individuals with similar characteristics in the same areas. In line with the existing literature, we found that individual characteristics still play a major role in explaining risk exposure, but also that the context where people live has a non-negligible effect and should be encompassed in the design of policies aimed at tackling the disease and reducing social inequalities at its onset. Despite playing a role in mitigating disparities in relation to disease management and quality of care, there is evidence that the healthcare system alone is not able to effectively tackle existing inequalities, and that broader actions intervening in the structure that contribute to the generation and perpetuation of social and spatial inequalities are needed.File | Dimensione | Formato | |
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