A Population-based study of the association between food insecurity and preventable hospitalization among persons with diabetes using linked survey and administrative data
Background Studies have found food insecurity to be more prevalent among persons with diabetes mellitus. Other research using areal-based measures of socioeconomic status have pointed to a social gradient in diabetes hospitalizations, but without accounting for individuals’ health status. Linking p...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
Swansea University
2019-08-01
|
Series: | International Journal of Population Data Science |
Subjects: | |
Online Access: | https://ijpds.org/article/view/1102 |
id |
doaj-640871592e02424694f83ee3b97d9e1e |
---|---|
record_format |
Article |
spelling |
doaj-640871592e02424694f83ee3b97d9e1e2020-11-25T01:44:35ZengSwansea UniversityInternational Journal of Population Data Science2399-49082019-08-014110.23889/ijpds.v4i1.1102A Population-based study of the association between food insecurity and preventable hospitalization among persons with diabetes using linked survey and administrative dataNeeru Gupta0Zihao Sheng1Department of Sociology, University of New Brunswick, PO Box 4400, Fredericton, New Brunswick E3B 5A3, CanadaDepartment of Sociology, University of New Brunswick, PO Box 4400, Fredericton, New Brunswick E3B 5A3, Canada Background Studies have found food insecurity to be more prevalent among persons with diabetes mellitus. Other research using areal-based measures of socioeconomic status have pointed to a social gradient in diabetes hospitalizations, but without accounting for individuals’ health status. Linking person-level data from health surveys to population-based hospital records enables profiling of the role of food insecurity with hospital morbidity, focusing on the high-risk diabetic population. Objective This national study aims to assess the association between income-related household food insecurity and potentially avoidable hospital admissions among community-dwelling persons living with diagnosed diabetes. Methods We use three cycles of the Canadian Community Health Survey (2007, 2008, and 2011) linked to multiple years of hospital records from the Discharge Abstract Database (2005/06 to 2012/13), covering 12 of Canada’s 13 provinces and territories. We apply multiple logistic regression for testing the association of household food insecurity with the risk of hospitalization for diabetes and common comorbid ambulatory care sensitive conditions among persons aged 12 and over living with diabetes. Analysis Data linkage allowed us to analyze inpatient hospital records among 10,260 survey respondents with diabetes; 590 respondents had been hospitalized at least once for diabetes or a common comorbid chronic physical or mental illness. The regression results indicated that the odds of experiencing a preventable hospital admission were significantly higher among persons with diabetes who were food insecure compared to their counterparts who were food secure (OR=1.66 [95%CI=1.24-2.23]), after controlling for age, sex and other characteristics. Conclusion We found food insecurity to significantly increase the odds of hospital admission for ambulatory care sensitive conditions among Canadians living with diabetes. These results reinforce the need to consider food insecurity in public health and clinical strategies to reduce the hospital burden of diabetes and other nutrition-related chronic diseases, from primary prevention to post-discharge care. Keywords Data linkage; health surveys; hospital records; diabetes mellitus; hospitalization; food security. https://ijpds.org/article/view/1102Data linkage; health surveys; hospital records; diabetes mellitus; hospitalization; food security |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Neeru Gupta Zihao Sheng |
spellingShingle |
Neeru Gupta Zihao Sheng A Population-based study of the association between food insecurity and preventable hospitalization among persons with diabetes using linked survey and administrative data International Journal of Population Data Science Data linkage; health surveys; hospital records; diabetes mellitus; hospitalization; food security |
author_facet |
Neeru Gupta Zihao Sheng |
author_sort |
Neeru Gupta |
title |
A Population-based study of the association between food insecurity and preventable hospitalization among persons with diabetes using linked survey and administrative data |
title_short |
A Population-based study of the association between food insecurity and preventable hospitalization among persons with diabetes using linked survey and administrative data |
title_full |
A Population-based study of the association between food insecurity and preventable hospitalization among persons with diabetes using linked survey and administrative data |
title_fullStr |
A Population-based study of the association between food insecurity and preventable hospitalization among persons with diabetes using linked survey and administrative data |
title_full_unstemmed |
A Population-based study of the association between food insecurity and preventable hospitalization among persons with diabetes using linked survey and administrative data |
title_sort |
population-based study of the association between food insecurity and preventable hospitalization among persons with diabetes using linked survey and administrative data |
publisher |
Swansea University |
series |
International Journal of Population Data Science |
issn |
2399-4908 |
publishDate |
2019-08-01 |
description |
Background
Studies have found food insecurity to be more prevalent among persons with diabetes mellitus. Other research using areal-based measures of socioeconomic status have pointed to a social gradient in diabetes hospitalizations, but without accounting for individuals’ health status. Linking person-level data from health surveys to population-based hospital records enables profiling of the role of food insecurity with hospital morbidity, focusing on the high-risk diabetic population.
Objective
This national study aims to assess the association between income-related household food insecurity and potentially avoidable hospital admissions among community-dwelling persons living with diagnosed diabetes.
Methods
We use three cycles of the Canadian Community Health Survey (2007, 2008, and 2011) linked to multiple years of hospital records from the Discharge Abstract Database (2005/06 to 2012/13), covering 12 of Canada’s 13 provinces and territories. We apply multiple logistic regression for testing the association of household food insecurity with the risk of hospitalization for diabetes and common comorbid ambulatory care sensitive conditions among persons aged 12 and over living with diabetes.
Analysis
Data linkage allowed us to analyze inpatient hospital records among 10,260 survey respondents with diabetes; 590 respondents had been hospitalized at least once for diabetes or a common comorbid chronic physical or mental illness. The regression results indicated that the odds of experiencing a preventable hospital admission were significantly higher among persons with diabetes who were food insecure compared to their counterparts who were food secure (OR=1.66 [95%CI=1.24-2.23]), after controlling for age, sex and other characteristics.
Conclusion
We found food insecurity to significantly increase the odds of hospital admission for ambulatory care sensitive conditions among Canadians living with diabetes. These results reinforce the need to consider food insecurity in public health and clinical strategies to reduce the hospital burden of diabetes and other nutrition-related chronic diseases, from primary prevention to post-discharge care.
Keywords
Data linkage; health surveys; hospital records; diabetes mellitus; hospitalization; food security.
|
topic |
Data linkage; health surveys; hospital records; diabetes mellitus; hospitalization; food security |
url |
https://ijpds.org/article/view/1102 |
work_keys_str_mv |
AT neerugupta apopulationbasedstudyoftheassociationbetweenfoodinsecurityandpreventablehospitalizationamongpersonswithdiabetesusinglinkedsurveyandadministrativedata AT zihaosheng apopulationbasedstudyoftheassociationbetweenfoodinsecurityandpreventablehospitalizationamongpersonswithdiabetesusinglinkedsurveyandadministrativedata AT neerugupta populationbasedstudyoftheassociationbetweenfoodinsecurityandpreventablehospitalizationamongpersonswithdiabetesusinglinkedsurveyandadministrativedata AT zihaosheng populationbasedstudyoftheassociationbetweenfoodinsecurityandpreventablehospitalizationamongpersonswithdiabetesusinglinkedsurveyandadministrativedata |
_version_ |
1725027760270737408 |