Literature DB >> 25451908

Understanding geographical inequities in diabetes: multilevel evidence from 114,755 adults in Sydney, Australia.

Thomas Astell-Burt1, Xiaoqi Feng2, Gregory S Kolt3, Mark McLean4, Glen Maberly4.   

Abstract

Multilevel analysis revealed the odds of having diabetes varied geographically by 42% among 114,755 persons. Approximately 9% of this variation was attributable to behavioural risk factors, 41% due to health status and obesity, 26% due to socioeconomic circumstances and 13% to country of birth. Contextual risk factors warrant future investigation.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Geographical inequity; Multilevel modelling; Person-level risk factors

Mesh：

Year:  2014        PMID： 25451908     DOI： 10.1016/j.diabres.2014.09.033

Source DB:  PubMed          Journal:  Diabetes Res Clin Pract        ISSN： 0168-8227            Impact factor:   5.602


  10 in total

1.  Socioeconomic inequalities and diabetes: A systematic review from Iran.

Authors:  Niloofar Peykari; Shirin Djalalinia; Mostafa Qorbani; Sahar Sobhani; Farshad Farzadfar; Bagher Larijani
Journal:  J Diabetes Metab Disord       Date:  2015-02-25

2.  Large-scale investment in green space as an intervention for physical activity, mental and cardiometabolic health: study protocol for a quasi-experimental evaluation of a natural experiment.

Authors:  Thomas Astell-Burt; Xiaoqi Feng; Gregory S Kolt
Journal:  BMJ Open       Date:  2016-04-06       Impact factor: 2.692

3.  Healthiness of Food and Beverages for Sale at Two Public Hospitals in New South Wales, Australia.

Authors:  Carrie Tsai; Erika Svensen; Victoria M Flood; Yasmine Probst; Kathryn Reilly; Stephen Corbett; Jason H Y Wu
Journal:  Nutrients       Date:  2018-02-15       Impact factor: 5.717

4.  Geographic variation in cardiometabolic risk factor prevalence explained by area-level disadvantage in the Illawarra-Shoalhaven region of the NSW, Australia.

Authors:  Renin Toms; Darren J Mayne; Xiaoqi Feng; Andrew Bonney
Journal:  Sci Rep       Date:  2020-07-29       Impact factor: 4.379

5.  Geographic and area-level socioeconomic variation in cardiometabolic risk factor distribution: a systematic review of the literature.

Authors:  Renin Toms; Andrew Bonney; Darren J Mayne; Xiaoqi Feng; Ramya Walsan
Journal:  Int J Health Geogr       Date:  2019-01-08       Impact factor: 3.918

6.  Examining the Association between Neighbourhood Socioeconomic Disadvantage and Type 2 Diabetes Comorbidity in Serious Mental Illness.

Authors:  Ramya Walsan; Darren J Mayne; Xiaoqi Feng; Nagesh Pai; Andrew Bonney
Journal:  Int J Environ Res Public Health       Date:  2019-10-15       Impact factor: 3.390

7.  Diabetes Detection and Communication among Patients Admitted through the Emergency Department of a Public Hospital.

Authors:  Osuagwu Uchechukwu Levi; Frederick Webb; David Simmons
Journal:  Int J Environ Res Public Health       Date:  2020-02-04       Impact factor: 3.390

8.  Exploring the geography of serious mental illness and type 2 diabetes comorbidity in Illawarra-Shoalhaven, Australia (2010 -2017).

Authors:  Ramya Walsan; Darren J Mayne; Nagesh Pai; Xiaoqi Feng; Andrew Bonney
Journal:  PLoS One       Date:  2019-12-05       Impact factor: 3.240

9.  Diabetes case finding in the emergency department, using HbA1c: an opportunity to improve diabetes detection, prevention, and care.

Authors:  Tien-Ming Hng; Amanda Hor; Sumathy Ravi; Xiaoqi Feng; Jaime Lin; Thomas Astell-Burt; David Chipps; Mark McLean; Glen Maberly
Journal:  BMJ Open Diabetes Res Care       Date:  2016-06-03

10.  Serious Mental Illness, Neighborhood Disadvantage, and Type 2 Diabetes Risk: A Systematic Review of the Literature.

Authors:  Ramya Walsan; Andrew Bonney; Darren J Mayne; Nagesh Pai; Xiaoqi Feng; Renin Toms
Journal:  J Prim Care Community Health       Date:  2018 Jan-Dec
  10 in total

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