Impact of diabetes on hospital admission and length of stay among a general population aged 45 year or more: a record linkage study.

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  • Additional Information
    • Source:
      Publisher: BioMed Central Country of Publication: England NLM ID: 101088677 Publication Model: Electronic Cited Medium: Internet ISSN: 1472-6963 (Electronic) Linking ISSN: 14726963 NLM ISO Abbreviation: BMC Health Serv Res Subsets: MEDLINE
    • Publication Information:
      Original Publication: London : BioMed Central, [2001-
    • Subject Terms:
      Diabetes Mellitus, Type 1/*complications ; Diabetes Mellitus, Type 2/*complications ; Hospitalization/*statistics & numerical data; Aged ; Depression/epidemiology ; Diabetes Mellitus, Type 1/epidemiology ; Diabetes Mellitus, Type 2/epidemiology ; Epidemiologic Methods ; Female ; Health Status ; Humans ; Length of Stay/statistics & numerical data ; Male ; Middle Aged ; New South Wales/epidemiology ; Obesity/epidemiology ; Poverty/statistics & numerical data ; Smoking/epidemiology ; Socioeconomic Factors
    • Abstract:
      Background: The increased prevalence of diabetes and its significant impact on use of health care services, particularly hospitals, is a concern for health planners. This paper explores the risk factors for all-cause hospitalisation and the excess risk due to diabetes in a large sample of older Australians.
      Methods: The study population was 263,482 participants in the 45 and Up Study. The data assessed were linked records of hospital admissions in the 12 months following completion of a baseline questionnaire. All cause and ambulatory care sensitive admission rates and length of stay were examined. The associations between demographic characteristics, socioeconomic status, lifestyle factors, and health and wellbeing and risk of hospitalisation were explored using zero inflated Poisson (ZIP) regression models adjusting for age and gender. The ratios of adjusted relative rates and 95% confidence intervals were calculated to determine the excess risk due to diabetes.
      Results: Prevalence of diabetes was 9.0% (n = 23,779). Age adjusted admission rates for all-cause hospitalisation were 631.3 and 454.8 per 1,000 participant years and the mean length of stay was 8.2 and 7.1 days respectively for participants with and without diabetes. In people with and without diabetes, the risk of hospitalisation was associated with age, gender, household income, smoking, BMI, physical activity, and health and wellbeing. However, the increased risk of hospitalisation was attenuated for participants with diabetes who were older, obese, or had hypertension or hyperlipidaemia and enhanced for those participants with diabetes who were male, on low income, current smokers or who had anxiety or depression.
      Conclusions: This study is one of the few studies published to explore the impact of diabetes on hospitalisation in a large non-clinical population, the 45 and Up Study. The attenuation of risk associated with some factors is likely to be due to correlation between diabetes and factors such as age and obesity. The increased risk in association with other factors such as gender and low income in participants with diabetes is likely to be due to their synergistic influence on health status and the way services are accessed.
    • References:
      Diabetes Care. 2000 Dec;23(12):1774-9. (PMID: 11128351)
      Int J Obes (Lond). 2013 Jun;37(6):790-9. (PMID: 22986682)
      Diabetes Res Clin Pract. 2002 Apr;56(1):27-34. (PMID: 11879718)
      Aust N Z J Public Health. 2002;26(3):251-5. (PMID: 12141621)
      Int J Psychiatry Med. 2002;32(3):235-47. (PMID: 12489699)
      BMJ. 2003 Jan 25;326(7382):219. (PMID: 12543843)
      Eur Heart J. 2003 Jan;24(1):105-12. (PMID: 12559942)
      Mayo Clin Proc. 1990 Sep;65(9):1171-84. (PMID: 2402159)
      Diabetes Care. 1994 Nov;17(11):1320-9. (PMID: 7821174)
      Aust J Public Health. 1995 Apr;19(2):160-6. (PMID: 7786942)
      Diabetes Care. 1998 Feb;21(2):231-5. (PMID: 9539987)
      Arch Intern Med. 1999 Sep 27;159(17):2053-7. (PMID: 10510991)
      J Clin Epidemiol. 2004 Nov;57(11):1196-201. (PMID: 15567637)
      Pediatrics. 2005 May;115(5):1315-9. (PMID: 15867041)
      Stat Methods Med Res. 2006 Feb;15(1):47-61. (PMID: 16477948)
      Pediatrics. 2006 Apr;117(4):1348-58. (PMID: 16585333)
      Diabetes Res Clin Pract. 2006 Sep;73(3):260-7. (PMID: 16504336)
      J Hum Hypertens. 2007 Mar;21(3):225-30. (PMID: 17167523)
      Diabetes Res Clin Pract. 2007 Dec;78(3):360-8. (PMID: 17532084)
      Int J Epidemiol. 2008 Oct;37(5):941-7. (PMID: 17881411)
      Value Health. 2009 Mar-Apr;12(2):267-72. (PMID: 20667061)
      Diabetes Care. 2011 Aug;34(8):1729-34. (PMID: 21680721)
      Nutr Metab Cardiovasc Dis. 2012 Jul;22(7):605-12. (PMID: 21333508)
      BMC Health Serv Res. 2012;12:263. (PMID: 22900643)
      BMC Health Serv Res. 2012;12:475. (PMID: 23259969)
      Int J Clin Pract. 2014 Jan;68(1):40-8. (PMID: 24112108)
      BMC Health Serv Res. 2013;13:481. (PMID: 24245780)
      Diabetes Care. 2001 Oct;24(10):1821-33. (PMID: 11574449)
    • Publication Date:
      Date Created: 20150123 Date Completed: 20161114 Latest Revision: 20220321
    • Publication Date:
      20221213
    • Accession Number:
      PMC4310177
    • Accession Number:
      10.1186/s12913-014-0666-2
    • Accession Number:
      25609196