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Association between urbanisation and type 2 diabetes: an ecological study

Association between urbanisation and type 2 diabetes: an ecological study
Association between urbanisation and type 2 diabetes: an ecological study
Introduction: Previous studies have explored the effect of urbanisation on the prevalence of type 2 diabetes (T2D) at regional/national level. The aim of this study is to investigate the association between urbanisation and T2D at country level, worldwide, and to explore the role of intermediate variables (physical inactivity, sugar consumption and obesity). The potential effect modification of gross domestic product (GDP) was also assessed.

Methods: Data for 207 countries were collected from accessible datasets. Direct acyclic graphs were used to describe the association between urbanisation, T2D and their intermediate variables (physical inactivity, sugar consumption and obesity). Urbanisation was measured as urban percentage (UP) and as agglomeration index (AI). Crude and multivariate linear regression analyses were conducted to explore selected associations. The interaction between urbanisation and T2D across levels of GDP per capita was investigated.

Results: The association between urbanisation and T2D diverged by exposure: AI was positively associated, while UP negatively associated with T2D prevalence. Physical inactivity and obesity were statistically significantly associated with increased prevalence of T2D. In middle-income countries (MIC) UP, AI and GDP were significantly associated with T2D prevalence, while in high-income countries (HIC), physical inactivity and obesity were the main determinant of T2D prevalence.

Conclusions: The type of urban growth, not urbanisation per se, predicted T2D prevalence at country level. In MIC, population density and GDP were the main determinant of diabetes, while in HIC. these were physical inactivity and obesity. Globalisation is playing an important role in the rise of T2D worldwide.
2059-7908
Gassasse, Zakariah
14ec1f2c-d9d8-42e7-8011-d4067731492e
Smith, Dianna
e859097c-f9f5-4fd0-8b07-59218648e726
Finer, Sarah
6659a18b-ffec-4a76-87d0-ef46fca99386
Gallo, Valetina
3bb2dcab-3539-49da-8a22-d90586249196
Gassasse, Zakariah
14ec1f2c-d9d8-42e7-8011-d4067731492e
Smith, Dianna
e859097c-f9f5-4fd0-8b07-59218648e726
Finer, Sarah
6659a18b-ffec-4a76-87d0-ef46fca99386
Gallo, Valetina
3bb2dcab-3539-49da-8a22-d90586249196

Gassasse, Zakariah, Smith, Dianna, Finer, Sarah and Gallo, Valetina (2017) Association between urbanisation and type 2 diabetes: an ecological study. BMJ Global Health, 2 (4), [e000473]. (doi:10.1136/bmjgh-2017-000473).

Record type: Article

Abstract

Introduction: Previous studies have explored the effect of urbanisation on the prevalence of type 2 diabetes (T2D) at regional/national level. The aim of this study is to investigate the association between urbanisation and T2D at country level, worldwide, and to explore the role of intermediate variables (physical inactivity, sugar consumption and obesity). The potential effect modification of gross domestic product (GDP) was also assessed.

Methods: Data for 207 countries were collected from accessible datasets. Direct acyclic graphs were used to describe the association between urbanisation, T2D and their intermediate variables (physical inactivity, sugar consumption and obesity). Urbanisation was measured as urban percentage (UP) and as agglomeration index (AI). Crude and multivariate linear regression analyses were conducted to explore selected associations. The interaction between urbanisation and T2D across levels of GDP per capita was investigated.

Results: The association between urbanisation and T2D diverged by exposure: AI was positively associated, while UP negatively associated with T2D prevalence. Physical inactivity and obesity were statistically significantly associated with increased prevalence of T2D. In middle-income countries (MIC) UP, AI and GDP were significantly associated with T2D prevalence, while in high-income countries (HIC), physical inactivity and obesity were the main determinant of T2D prevalence.

Conclusions: The type of urban growth, not urbanisation per se, predicted T2D prevalence at country level. In MIC, population density and GDP were the main determinant of diabetes, while in HIC. these were physical inactivity and obesity. Globalisation is playing an important role in the rise of T2D worldwide.

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Accepted/In Press date: 21 September 2017
e-pub ahead of print date: 23 October 2017
Published date: November 2017

Identifiers

Local EPrints ID: 415337
URI: http://eprints.soton.ac.uk/id/eprint/415337
ISSN: 2059-7908
PURE UUID: d4838821-58dd-47c7-93f0-2265909b8e9c
ORCID for Dianna Smith: ORCID iD orcid.org/0000-0002-0650-6606

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Date deposited: 07 Nov 2017 17:30
Last modified: 16 Mar 2024 04:23

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Contributors

Author: Zakariah Gassasse
Author: Dianna Smith ORCID iD
Author: Sarah Finer
Author: Valetina Gallo

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