Literature DB >> 30610138

Awareness of Prediabetes Status and Subsequent Health Behavior, Body Weight, and Blood Glucose Levels.

Ibiye Owei1, Nkiru Umekwe1, Fatoumatta Ceesay1, Samuel Dagogo-Jack2.   

Abstract

BACKGROUND: Lifestyle intervention decreases diabetes risk in prediabetic subjects, but the impact of passive notification of prediabetes status on glycemia or health behavior is unclear.
METHODS: The Pathobiology of Prediabetes in a Biracial Cohort (POP-ABC) study followed normoglycemic African American (AA) and European American (EA) offspring of parents with type 2 diabetes mellitus for incident prediabetes. During 5.5 years of follow-up (mean, 2.62 years), 101 of 343 subjects developed prediabetes and were notified, without any interventions. Participants were recalled 18 months poststudy. Here, we compared data from participants with incident prediabetes or normoglycemia (control) during POP-ABC who underwent retesting 18-months poststudy.
RESULTS: There were 73 subjects (46 female, 27 male; 36 AA, 37 EA) in the prediabetes group and 73 subjects (48 female, 25 male; 35 AA, 38 EA) in the control group. The mean (± SEM) enrollment age was 48.7 ± 0.96 years versus 48.3 ± 1.06 years (P = .37) and body mass index (BMI) was 31.1 ± 0.70 kg/m2 versus 29.2 ± 0.69 kg/m2 (P = .04) for prediabetes versus control groups, respectively. The 18-month changes (prediabetes vs control) were the following: fasting plasma glucose (FPG), -8.01 ± 1.11 vs 2.02 ± 0.64 mg/dL; 2-hour plasma glucose (2hrPG), -8.21 ± 3.34 vs 8.53 ± 3.17 mg/dL; weight, -0.54 ± 0.72 vs 2.77 ± 1.25 kg; and waist circumference -1.07 ± 0.78 vs 1.78 ± 0.85 (P = .03-<0.0001). The interval changes in FPG were significantly correlated with changes in weight and waist circumference (r = 0.2, P = .01). The prediabetes group reported improved dietary and exercise habits compared with control.
CONCLUSION: Communication of prediabetes status is associated with improvements in glucose tolerance, glycemia, and adiposity, probably via self-directed lifestyle modification. © Copyright 2019 by the American Board of Family Medicine.

Entities:  

Keywords:  Health Behavior; Life Style; Prediabetes

Mesh:

Substances:

Year:  2019        PMID: 30610138      PMCID: PMC6472472          DOI: 10.3122/jabfm.2019.01.180242

Source DB:  PubMed          Journal:  J Am Board Fam Med        ISSN: 1557-2625            Impact factor:   2.657


  3 in total

1.  Association between prediabetes diagnosis and body mass index trajectory of overweight and obese adolescents.

Authors:  Mary Ellen Vajravelu; Joyce M Lee; Rachana Shah; Justine Shults; Sandra Amaral; Andrea Kelly
Journal:  Pediatr Diabetes       Date:  2020-05-15       Impact factor: 4.866

2.  Association of physical activity and sedentary behavior with type 2 diabetes and glycemic traits: a two-sample Mendelian randomization study.

Authors:  Hansjoerg Baurecht; Sebastian Edgar Baumeister; Christa Meisinger; Jakob Linseisen; Michael Leitzmann
Journal:  BMJ Open Diabetes Res Care       Date:  2020-12

3.  Assessing the implementation of a clinical decision support tool in primary care for diabetes prevention: a qualitative interview study using the Consolidated Framework for Implementation Science.

Authors:  Rebekah Pratt; Daniel M Saman; Clayton Allen; Benjamin Crabtree; Kris Ohnsorg; JoAnn M Sperl-Hillen; Melissa Harry; Hilary Henzler-Buckingham; Patrick J O'Connor; Jay Desai
Journal:  BMC Med Inform Decis Mak       Date:  2022-01-15       Impact factor: 2.796

  3 in total

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