Cited by 12Liver Disease Diagnosis and TreatmentDiabetes, Cardiovascular Risks, and LipoproteinsMobile Health and mHealth Applications

Lifestyle Intervention in NAFLD: Long-Term Diabetes Incidence in Subjects Treated by Web- and Group-Based Programs

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Petroni, Maria Letizia, Brodosi, Lucia, Armandi, Angelo, Marchignoli, Francesca, Bugianesi, Elisabetta, Marchesini, Giulio·2023·Nutrients

Abstract

Background: Behavioral programs are needed for prevention and treatment of NAFLD and the effectiveness of a web-based intervention (WBI) is similar to a standard group-based intervention (GBI) on liver disease biomarkers. Objective: We aimed to test the long-term effectiveness of both programs on diabetes incidence, a common outcome in NAFLD progression. Methods: 546 NAFLD individuals (212 WBI, 334 GBI) were followed up to 60 months with regular 6- to 12-month hospital visits. The two cohorts differed in several socio-demographic and clinical data. In the course of the years, the average BMI similarly decreased in both cohorts, by 5% or more in 24.4% and by 10% or more in 16.5% of cases available at follow-up. After excluding 183 cases with diabetes at entry, diabetes was newly diagnosed in 48 cases during follow-up (31 (16.6% of cases without diabetes at entry) in the GBI cohort vs. 17 (9.7%) in WBI; p = 0.073). Time to diabetes was similar in the two cohorts (mean, 31 ± 18 months since enrollment). At multivariable regression analysis, incident diabetes was significantly associated with prediabetes (odds ratio (OR) 4.40; 95% confidence interval (CI) 1.97–9.81; p < 0.001), percent weight change (OR 0.57; 95% CI 0.41–0.79; p < 0.001) and higher education (OR 0.49; 95% CI 0.27–0.86; p = 0.014), with no effect of other baseline socio-demographic, behavioral and clinical data, and of the type of intervention. The importance of weight change on incident diabetes were confirmed in a sensitivity analysis limited to individuals who completed the follow-up. Conclusion: In individuals with NAFLD, WBI is as effective as GBI on the pending long-term risk of diabetes, via similar results on weight change.

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  • Before-and-after studies or cohort studies can provide valuable insights into special populations such as patients with chronic liver disease or renal transplant.

    “before-and-after studies or cohort studies can provide valuable insights into special populations, such as patients with chronic liver disease [57] or renal transplant [58]”

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  1. [20]Miller W.R. Rollnick S. Motivational Interviewing, 2nd ed The Guilford Press New York, NY, USA 2002

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Authors
Petroni, M. L., Brodosi, L., Armandi, A., Marchignoli, F., Bugianesi, E., & Marchesini, G.
Affiliations
  • IRCCS Azienda Ospedliero-Universitaria di Bologna Policlinico di Sant'Orsola (IT)
  • Azienda Ospedaliera Citta' della Salute e della Scienza di Torino (IT)
  • University of Bologna (IT)
Corresponding author
Marchesini, Giulio
Venue
Nutrients
Publisher
MDPI AG
Published
2023-02-03
Volume
15
Issue
3
Pages
792
ISSN
2072-6643 (ISSN-L)
OpenAlex
W4319315582
Cited by
12
References
58
Citations by year
2026: 2 · 2025: 3 · 2024: 4 · 2023: 3
FWCI
2.40
Type
journal article
Language
en
Open access
Locations
  • Nutrients (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) (submittedVersion, cc-by)
  • Institutional Research Information System University of Turin (University of Turin) (submittedVersion, other-oa)
Funders
European Community subproject FP7/2007- 2013 FLIP (HEALTH-F2-2009-241762)
Topics
  • Health Sciences › Medicine › Epidemiology › Liver Disease Diagnosis and Treatment
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
Keywords
non-alcoholic fatty liver disease, lifestyle intervention, online intervention, group intervention, diabetes incidence, prediabetes, weight change, body mass index, long-term follow-up, educational attainment
MeSH terms
Diabetes Mellitus, Diabetes Mellitus, Type 2, Humans, Life Style, Prediabetic State, Incidence, Non-alcoholic Fatty Liver Disease

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