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Related Experiment Videos

Seasonal patterns in monthly hemoglobin A1c values.

Chin-Lin Tseng1, Michael Brimacombe, Minge Xie

  • 1Center for Health Care Knowledge Management, Department of Veterans Affairs New Jersey Health Care System, 385 Tremont Avenue #129, East Orange, NJ 07018, USA. Tseng@njneuromed.org

American Journal of Epidemiology
|March 5, 2005
PubMed
Summary

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Diabetic veterans show seasonal hemoglobin A1c (A1c) variations, with higher levels in winter and lower in summer. This pattern, consistent across demographics and regions, impacts diabetes management and research.

Area of Science:

  • Endocrinology
  • Public Health
  • Epidemiology

Background:

  • Hemoglobin A1c (A1c) is a key marker for long-term glycemic control in diabetes.
  • Understanding population-level trends in A1c is crucial for effective diabetes management and public health strategies.

Purpose of the Study:

  • To investigate seasonal variations in monthly hemoglobin A1c (A1c) values among US diabetic veterans.
  • To analyze these variations across different demographic and climatic subpopulations.

Main Methods:

  • Analysis of 856,181 A1c tests from 285,705 US diabetic veterans over two years (Oct 1998-Sep 2000).
  • Calculation of monthly average A1c values and proportion of A1c > 9.0%.
  • Application of seasonal autoregressive models with trigonometric functions to identify seasonal effects.

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Main Results:

  • A significant seasonal pattern in A1c values was observed, with higher levels in winter and lower levels in summer (0.22 difference).
  • The proportion of elevated A1c values (>9.0%) also exhibited a similar seasonal trend.
  • Colder regions showed a more pronounced winter-summer contrast in A1c levels.

Conclusions:

  • Seasonal variations in A1c are a significant factor in the diabetic veteran population.
  • These findings have implications for quality assessment, epidemiological studies, and clinical trial design in diabetes care.
  • The observed patterns align with other physiological markers and health outcomes, suggesting a broader environmental influence on diabetes management.