Publications by authors named "Linda Geiss"

Introduction: Defining type of diabetes using survey data is challenging, although important, for determining national estimates of diabetes. The purpose of this study was to compare the percentage and characteristics of US adults classified as having type 1 diabetes as defined by several algorithms.

Research Design And Methods: This study included 6331 respondents aged ≥18 years who reported a physician diagnosis of diabetes in the 2016-2017 National Health Interview Survey.

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Objective: Diabetic retinopathy (DR) is the leading cause of blindness among working-age adults, and although screening with eye exams is effective, screening rates are low. We evaluated eye exam visits over a 5-year period in a large population of insured patients 10-64 years of age with diabetes.

Research Design And Methods: We used claims data from IBM Watson Health to identify patients with diabetes and continuous insurance coverage from 2010 to 2014.

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Objective: To examine changes in diabetes-related preventable hospitalization costs and to determine the contribution of each underlying factor to these changes.

Research Design And Methods: We used data from the 2001-2014 U.S.

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Objective: To determine whether declining trends in lower-extremity amputations have continued into the current decade.

Research Design And Methods: We calculated hospitalization rates for nontraumatic lower-extremity amputation (NLEA) for the years 2000-2015 using nationally representative, serial cross-sectional data from the Nationwide Inpatient Sample on NLEA procedures and from the National Health Interview Survey for estimates of the populations with and without diabetes.

Results: Age-adjusted NLEA rates per 1,000 adults with diabetes decreased 43% between 2000 (5.

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Accurately quantifying undiagnosed type 2 diabetes is an important challenge for conducting diabetes surveillance and identifying the potential missed opportunities for preventing complications. However, there has been little focused attention on how undiagnosed diabetes is defined in epidemiologic surveys and how limitations in methods used to ascertain undiagnosed diabetes may impact our understanding of the magnitude of this important public health problem. This Perspective highlights weaknesses in how undiagnosed diabetes is quantified in epidemiologic research and the biases and caveats that should be considered when using estimates of undiagnosed diabetes to influence public health policy.

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Objective: Cardiovascular disease (CVD) mortality has declined substantially in the U.S. The aims of this study were to examine trends and demographic disparities in mortality due to CVD and CVD subtypes among adults with and without self-reported diabetes.

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Background: Large reductions in diabetes complications have altered diabetes-related morbidity in the USA. It is unclear whether similar trends have occurred in causes of death.

Methods: Using data from the National Health Interview Survey Linked Mortality files from 1985 to 2015, we estimated age-specific death rates and proportional mortality from all causes, vascular causes, cancers, and non-vascular, non-cancer causes among US adults by diabetes status.

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Objective: The use of emergency medical services (EMS) for diabetes-related events is believed to be substantial but has not been quantified nationally despite the diverse acute complications associated with diabetes. We describe diabetes-related EMS activations in 2015 among people of all ages from 23 U.S.

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Article Synopsis
  • * In a 2016 study using National Health Interview Survey data, it was estimated that 0.55% of adults had type 1 diabetes (about 1.3 million people) and 8.6% had type 2 diabetes (around 21 million people).
  • * Understanding the prevalence of different diabetes types is crucial for tracking health trends, planning public health strategies, and managing healthcare services effectively.
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Diabetes is a common chronic condition and as of 2015, approximately 30 million persons in the United States had diabetes (23 million with diagnosed and 7 million with undiagnosed) (1). Diabetic ketoacidosis (DKA) is a life-threatening but preventable complication of diabetes characterized by uncontrolled hyperglycemia (>250 mg/dL), metabolic acidosis, and increased ketone concentration that occurs most frequently in persons with type 1 diabetes (2). CDC's United States Diabetes Surveillance System* (USDSS) indicated an increase in hospitalization rates for DKA during 2009-2014, most notably in persons aged <45 years.

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Article Synopsis
  • The study aimed to evaluate trends in the detection of undiagnosed type 2 diabetes among adults in the USA using data from national health surveys conducted between 1999 and 2014.
  • Findings revealed that the overall probability of detecting undiagnosed diabetes remained relatively stable, with only small increases noted among Mexican-Americans and decreases among older adults, non-Hispanic whites, and those in higher income brackets.
  • The researchers concluded that despite some improvements among specific groups, the overall detection of undiagnosed type 2 diabetes has not significantly increased over the past 15 years, highlighting the need for better primary prevention efforts.
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Purpose: Health and administrative systems are facing spatial clustering in chronic diseases such as diabetes. This study explores how geographic distribution of diabetes in the United States is associated with socioeconomic and built environment characteristics and health-relevant policies.

Methods: We compiled nationally representative county-level data from multiple data sources.

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States bear substantial responsibility for addressing the rising rates of diabetes and prediabetes in the United States. However, accurate state-level estimates of diabetes and prediabetes prevalence that include undiagnosed cases have been impossible to produce with traditional sources of state-level data. Various new and nontraditional sources for estimating state-level prevalence are now available.

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During 2014, 120,000 persons in the United States and Puerto Rico began treatment for end-stage renal disease (ESRD) (i.e., kidney failure requiring dialysis or transplantation) (1).

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Diabetes is a common chronic disease of childhood affecting approximately 200,000 children and adolescents in the United States (1). Children and adolescents with diabetes are at increased risk for death from acute complications of diabetes, including hypoglycemia and diabetic ketoacidosis (2,3); in 2012, CDC reported that during 1968-2009, diabetes mortality among U.S.

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Structured lifestyle interventions can reduce diabetes incidence and cardiovascular disease (CVD) risk among persons with impaired glucose tolerance (IGT), but it is unclear whether they should be implemented among persons without IGT. We conducted a systematic review and meta-analyses to assess the effectiveness of lifestyle interventions on CVD risk among adults without IGT or diabetes. We systematically searched MEDLINE, EMBASE, CINAHL, Web of Science, the Cochrane Library, and PsychInfo databases, from inception to May 4, 2016.

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Article Synopsis
  • Recent studies indicate that the rate of diagnosed diabetes in the U.S. plateaued around 2008, paralleling similar trends in obesity and physical activity levels.
  • * A detailed analysis using data from the CDC examined changes across 3143 counties, revealing that the average annual percentage point changes in diabetes, obesity, and physical inactivity were lower in the period from 2008 to 2012 compared to 2004-2008.
  • * Despite these improvements, high levels of diabetes and obesity remain, highlighting the need for targeted interventions in high-risk areas to further reduce these health risks.
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This study systematically assessed the effectiveness of lifestyle interventions on glycemic indicators among adults (⩾18years) without IGT or diabetes. Randomized controlled trials using physical activity (PA), diet (D), or their combined strategies (PA+D) with follow-up ⩾12months were systematically searched from multiple electronic-databases between inception and May 4, 2016. Outcome measures included fasting plasma glucose (FPG), glycated hemoglobin (HbA1c), fasting insulin (FI), homeostasis model assessment-estimated insulin resistance (HOMA-IR), and bodyweight.

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Background: In recent decades, the United States experienced increasing prevalence and incidence of diabetes, accompanied by large disparities in county-level diabetes prevalence and incidence. However, whether these disparities are widening, narrowing, or staying the same has not been studied. We examined changes in disparity among U.

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Article Synopsis
  • Asians and Native Hawaiians or other Pacific Islanders (NHPIs) are rapidly growing U.S. minority populations that are at a heightened risk for type 2 diabetes.
  • A CDC analysis of 2011-2014 data showed that diabetes prevalence among NHPIs varied by state, with rates between 13.4% in New York and 19.1% in California, while for Asians, it ranged from 4.9% in Arizona to 15.3% in New York.
  • NHPIs had a higher prevalence of diabetes and were more likely to be overweight or obese and have lower educational attainment compared to Asians, indicating a need for targeted interventions to reduce diabetes rates in these populations.
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Introduction: Hospitalization data typically cannot be used to estimate the number of individuals hospitalized annually because individuals are not tracked over time and may be hospitalized multiple times annually. We examined the impact of repeat hospitalizations on hospitalization rates for various conditions and on comparison of rates by diabetes status.

Methods: We analyzed hospitalization data for which repeat hospitalizations could be distinguished among adults aged 18 or older from 12 states using the 2011 Agency for Healthcare Research and Quality's State Inpatient Databases.

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Importance: Previous studies have shown increasing prevalence of diabetes in the United States. New US data are available to estimate prevalence of and trends in diabetes.

Objective: To estimate the recent prevalence and update US trends in total diabetes, diagnosed diabetes, and undiagnosed diabetes using National Health and Nutrition Examination Survey (NHANES) data.

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