Locality deprivation and Type 2 diabetes incidence: A local test of relative inequalities

Cox, Matthew; Boyle, Paul J.; Davey, Peter; Feng, Zhiqiang; Morris, Andrew D.

doi:10.1016/j.socscimed.2007.05.043

Cited by 87 publications

(84 citation statements)

References 53 publications

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“…In the basic model the baseline hazard function was stratified by centre and adjusted for sex and energy intake (natural log kJ). In multivariate model 1, analyses were performed stratified by centre and adjusted for sex, energy intake, smoking status (dummy variables for former and current smokers; never smokers as reference), alcohol (quintiles of daily intake), physical activity (four levels) and educational level (five levels) based on a priori knowledge of the main risk factors for type 2 diabetes [3,[20][21][22]. In multivariate model 2, a term for BMI (continuous) was added.…”

Section: Methodsmentioning

confidence: 99%

Association between dietary meat consumption and incident type 2 diabetes: the EPIC-InterAct study

et al. 2012

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Aims/hypothesis A diet rich in meat has been reported to contribute to the risk of type 2 diabetes. The present study aims to investigate the association between meat consumption and incident type 2 diabetes in the EPIC-InterAct study, a large prospective case-cohort study nested within the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Methods During 11.7 years of follow-up, 12,403 incident cases of type 2 diabetes were identified among 340,234 adults from eight European countries. A centre-stratified random subsample of 16,835 individuals was selected in order to perform a case-cohort design. Prentice-weighted Cox regression analyses were used to estimate HR and 95% CI for incident diabetes according to meat consumption. Results Overall, multivariate analyses showed significant positive associations with incident type 2 diabetes for increasing consumption of total meat (50 g increments: HR 1.08; 95% CI 1.05, 1.12), red meat (HR 1.08; 95% CI 1.03, 1.13) and processed meat (HR 1.12; 95% CI 1.05, 1.19), and a borderline positive association with meat iron intake. Effect modifications by sex and class of BMI were observed. In men, the results of the overall analyses were confirmed. In women, the association with total and red meat persisted, although attenuated, while an association with poultry consumption also emerged (HR 1.20; 95% CI 1.07, 1.34). These associations were not evident among obese participants. Conclusions/interpretation This prospective study confirms a positive association between high consumption of total and red meat and incident type 2 diabetes in a large cohort of European adults.

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Section: Methodsmentioning

confidence: 99%

Association between dietary meat consumption and incident type 2 diabetes: the EPIC-InterAct study

et al. 2012

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“…[1][2][3][4][5][6][7][8][9][10][11][12][13] Vários são os autores que têm investigado esta relação, apontando fatores de risco para a incidência da doença inerentes ao contexto individual, social e geográfico do indivíduo. [14][15][16][17] Lugares e comunidades envelhecidas, com baixa escolaridade, desemprego elevado, baixos rendimentos, más condições da habitação, fraca disponibilidade de infraestruturas que incentivem a adoção de estilos de vida saudáveis e com dificuldades de acesso aos cuidados de saúde transformam-se em ambientes vulneráveis, determinantes para a incidência da DM.…”

Section: Introductionunclassified

Geografias da Diabetes Mellitus em Portugal: Como as Condições do Contexto Influenciam o Risco de Morrer

et al. 2014

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Introduction: Diabetes Mellitus is a public health problem that is on the increase throughout the world, including in Portugal. This paper aims to identify the changing geographic pattern of this cause of death in Portugal and its association with sociomaterial deprivation. Material and Methods: This is a transversal ecological study of the deaths by Diabetes Mellitus in Portuguese municipalities in three periods (1989-1993, 1999-2003 and 2006-2010). It uses a Bayesian hierarchical model in order to obtain a smooth standardized mortality ratio and the relative risk of death by Diabetes Mellitus associated to sociomaterial deprivation. Results: In 1989-1993, the highest smooth standardized mortality ratio values were found in coastal urban municipalities (80% of municipalities with smooth standardized mortality ratio ≥ 161, of which 60% are urban); in 2006-2010, the opposite was found, with the highest smooth standardized mortality ratio values occurring in rural areas in southern inland regions (76.9% of municipalities with smooth standardized mortality ratio ≥ 161, of which 69.2% are rural), particularly the Alentejo. The relative risk of death by Diabetes Mellitus increases with vulnerability associated to social and economic conditions in the area of residence, and is significant in the last two periods (relative risk: 1.00; IC95%: 0.98-1.02). Discussion: Diabetes Mellitus presents a geographic pattern marked by coastal-inland and urban-rural asymmetry. However, this has been altering over the last twenty years. 48% of the population reside in municipalities where the smooth standardized mortality ratio has increased in the last twenty years, particularly in the rural areas of inland Portugal. Conclusion: The highest smooth standardized mortality ratio are currently found in rural municipalities with the highest index of sociomaterial deprivation. Keywords: Demography; Diabetes Mellitus/epidemiology; Diabetes Mellitus/mortality; Portugal; Socioeconomic Factors.

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“…This has been observed for a range of health care services but was not evident in this study [31]. There are two caveats: the first is that the ecologically assigned socioeconomic status assumes that it is the deprived people in the deprived areas who are getting the medication; and secondly, the observed gradient may still represent inequality [32] given the increased risk of negative health outcomes in the more deprived populations [33,34]. The practice effect on the likelihood of being prescribed anti-obesity medication is evident for both males and females.…”

Section: What This Study Addsmentioning

confidence: 57%

Factors Related to Successful Weight Reduction among Subjects who Tried to Reduce Their Weight for 1 Year: Data from the 2015 Korea National Health and Nutrition Examination Survey

Jung¹,

Jeong²

2017

J Health Info Stat

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Locality deprivation and Type 2 diabetes incidence: A local test of relative inequalities

Cited by 87 publications

References 53 publications

Association between dietary meat consumption and incident type 2 diabetes: the EPIC-InterAct study

Association between dietary meat consumption and incident type 2 diabetes: the EPIC-InterAct study

Geografias da Diabetes Mellitus em Portugal: Como as Condições do Contexto Influenciam o Risco de Morrer

Factors Related to Successful Weight Reduction among Subjects who Tried to Reduce Their Weight for 1 Year: Data from the 2015 Korea National Health and Nutrition Examination Survey

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