ArticlePreventing chronic disease2010
Factors predicting glycemic control in middle-aged and older adults with type 2 diabetes.
Article in Preventing chronic disease, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.
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Who cites it
44 citing papers in PubMed, 81 citations in OpenAlex.
- Effect of a Comprehensive Telehealth Intervention vs Telemonitoring and Care Coordination in Patients With Persistently Poor Type 2 Diabetes Control: A Randomized Clinical Trial.JAMA internal medicine · 2022Trial
- Effect of Behaviorally Designed Gamification With Social Incentives on Lifestyle Modification Among Adults With Uncontrolled Diabetes: A Randomized Clinical Trial.JAMA network open · 2021Trial
- Effect of Peer Mentors in Diabetes Self-management vs Usual Care on Outcomes in US Veterans With Type 2 Diabetes: A Randomized Clinical Trial.JAMA network open · 2020Trial
- Rapid improvement of glycemic control in type 2 diabetes using weekly intensive multifactorial interventions: structured glucose monitoring, patient education, and adjustment of therapy-a randomized controlled trial.Diabetes technology & therapeutics · 2011Trial
- The Diabetes Telemonitoring Study Extension: an exploratory randomized comparison of alternative interventions to maintain glycemic control after withdrawal of diabetes home telemonitoring.Journal of the American Medical Informatics Association : JAMIATrial
- Association between arterial stiffness and choroidal vascular in type 2 diabetes: more pronounced in individuals aged 30 to 50 years.International ophthalmology · 2026Article
- Homebound status and glycemic control among older adults: results from a national survey.GeroScience · 2026Article
- The correlation between plasma lactoferrin and inflammatory biomarkers in type 2 diabetes with dry eye disease patients.Frontiers in medicine · 2025Article
- Exploring the impact of self-efficacy on glycemic control in Omani type 2 diabetes patients.Frontiers in endocrinology · 2025Article
- Association between diabetes knowledge and medication adherence among people with type 2 diabetes mellitus of Gokarneshwor municipality: A community-based cross-sectional study.PLOS global public health · 2025Article
- Perceptions of a comprehensive telehealth intervention in patients with persistently poor type 2 diabetes control.Journal of clinical and translational science · 2025Article
- Tailoring nursing interventions to empower patients: personal coping strategies and self-management in type 2 diabetes care.BMC nursing · 2024Article
- A doctor-nurse-patient mobile health management system effectively controls blood glucose in chinese patients with type 2 diabetes mellitus: a prospective study.BMC health services research · 2022Article
- Glycemic control and its association with sociodemographics, comorbid conditions, and medication adherence among patients with type 2 diabetes in southwestern Nigeria.The Journal of international medical research · 2021Observational
- A Hypothesis: The Interplay of Exercise and Physiological Heterogeneity as Drivers of Human Ageing.Frontiers in physiology · 2021Article
- Practical telehealth to improve control and engagement for patients with clinic-refractory diabetes mellitus (PRACTICE-DM): Protocol and baseline data for a randomized trial.Contemporary clinical trials · 2020Article
- Article
- Effect of socioeconomic deprivation on outcomes of diabetes complications in patients with type 2 diabetes mellitus: a nationwide population-based cohort study of South Korea.BMJ open diabetes research & care · 2020Article
- Racial/Ethnic Differences in Glycemic Control in Older Adults with Type 2 Diabetes: United States 2003-2014.International journal of environmental research and public health · 2020Review
- How Much Do We Know about the Biopsychosocial Predictors of Glycaemic Control? Age and Clinical Factors Predict Glycaemic Control, but Psychological Factors Do Not.Journal of diabetes research · 2020Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
introductionFew studies have prospectively assessed the explanatory effects of demographics, clinical conditions, treatment modality, and general lifestyle behaviors on glycemic control in large heterogeneous samples of middle-aged and older adults with type 2 diabetes. We hierarchically examined these factors, focused especially on the effects of modifiable factors (ie, general lifestyle behaviors), and compared predictive patterns between middle-aged and older adults.
methodsWe used nationally representative data from the 1998 and 2000 Health and Retirement Study (HRS) and the HRS 2003 Diabetes Study. We analyzed data from 379 middle-aged adults (aged 51-64 y) and 430 older adults (aged >or=65 y) who self-reported having type 2 diabetes at baseline.
resultsAmong middle-aged adults, demographic factors and clinical conditions were the strongest predictors of hemoglobin A1c (HbA1c) levels. However, among older adults, treatment modality (diet only, oral medication, or insulin only or in combination with other regimens) significantly affected HbA1c levels. Lifestyle (physical activity, smoking, drinking, and body weight control), independent of the effects of demographics, clinical conditions, and treatment modality, significantly affected HbA1c levels. An increase of 1 healthy behavior was associated with a decrease in HbA1c levels of more than 1 percentage point.
conclusionOur findings provide support for current diabetes guidelines that recommend a lifestyle regimen across the entire span of diabetes care and highlight the need to help both sociodemographically and clinically disadvantaged middle-aged adults with type 2 diabetes as well as older adults who exhibit poor adherence to medication recommendations to achieve better glycemic control.
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20040223PMC2811503W90260715What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.