Literature DB >> 25976519

Demographic, lifestyle, and health characteristics of older adults with prediabetes in England.

Eva Graham1, Geneviève Gariépy2, Rachel J Burns3, Norbert Schmitz4.   

Abstract

OBJECTIVE: To describe the demographic, lifestyle, and health characteristics of older adults with prediabetes compared to those with normal glucose levels or diabetes.
METHOD: Participants were from the English Longitudinal Study of Aging 2004-2005 (n=4168). Statistical analyses examined differences between people with prediabetes and 1) people with normal glucose levels and 2) people with diabetes. Design-based F-statistics and t-tests tested differences for each characteristic individually and multinomial logistic regression examined adjusted associations. Survey weighting and cluster information was used to generalize to the older English population.
RESULTS: Compared to people with normal glucose levels, people with prediabetes were older (RR=1.05 95% CI 1.04-1.07), more likely to be employed (RR=1.27 95% CI 1.01-1.60), more likely to smoke (RR=2.21 95% CI 1.74-2.80), and had higher BMIs (RR=1.08 95% CI 1.06-1.10). Compared to people with diabetes, people with prediabetes were more likely to be women (RR=2.12 95% CI 1.57-2.86), more likely to be employed (RR=1.54 95% CI 1.02-2.33), had lower BMIs (RR=0.95 95% CI 0.93-0.98), were less likely to have a cardiovascular condition (RR=0.34 95% CI 0.24-0.47), and had higher self-rated health (χ(2)=26.08, p<0.001).
CONCLUSION: Older adults with prediabetes have a unique set of characteristics that may inform prevention or intervention schemes.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Aged; Cross-sectional studies; Lifestyle; Mental health; Middle aged; Prediabetes; Self-rated health; Self-report

Mesh:

Year:  2015        PMID: 25976519     DOI: 10.1016/j.ypmed.2015.05.004

Source DB:  PubMed          Journal:  Prev Med        ISSN: 0091-7435            Impact factor:   4.018


  3 in total

1.  Prevalence and Predictors of Pre-Diabetes and Diabetes among Adults 18 Years or Older in Florida: A Multinomial Logistic Modeling Approach.

Authors:  Ifechukwude Obiamaka Okwechime; Shamarial Roberson; Agricola Odoi
Journal:  PLoS One       Date:  2015-12-29       Impact factor: 3.240

2.  Individuals at high risk for type 2 diabetes invited to a lifestyle program: characteristics of participants versus non-participants (the HUNT Study) and 24-month follow-up of participants (the VEND-RISK Study).

Authors:  Ingrid Sørdal Følling; Bård Kulseng; Kristian Midthjell; Vegar Rangul; Anne-S Helvik
Journal:  BMJ Open Diabetes Res Care       Date:  2017-07-31

3.  Self-reported lifestyle behaviours in families with an increased risk for type 2 diabetes across six European countries: a cross-sectional analysis from the Feel4Diabetes-study.

Authors:  Marieke De Craemer; Vicky Van Stappen; Ruben Brondeel; Violeta Iotova; Nevena Chakarova; Imre Rurik; Jaana Lindström; Jemina Kivelä; Luis Alberto Moreno; Christina Mavrogianni; Yannis Manios; Greet Cardon
Journal:  BMC Endocr Disord       Date:  2022-08-24       Impact factor: 3.263

  3 in total

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