Diabetes Self-Management: Self-reported recommendations and patterns in a large population

Author:

Ruggiero Laurie1,Glasgow Russell2,Dryfoos Janet M1,Rossi Joseph S1,Prochaska James O1,Orleans C Tracy3,Prokhorov Alexander V4,Rossi Susan R1,Greene Geoffrey W1,Reed Gabrielle R5,Kelly Kim6,Chobanian Lisa7,Johnson Suzann7

Affiliation:

1. University of Rhode Island New Brunswick, New Jersey

2. Kingston, Rhode Island Oregon Research Institute New Brunswick, New Jersey

3. Eugene, Oregon Robert Wood Johnson Foundation New Brunswick, New Jersey

4. Princeton, New Jersey University of Texas M.D. Anderson Cancer Center New Brunswick, New Jersey

5. Houston, Texas Center for Health Behavior Research New Brunswick, New Jersey

6. Washington University School of Medicine St. Louis, Missouri; LifeScan, Inc., New Brunswick, New Jersey

7. Milpitas, California; and Johnson & Johnson Health Care Systems, Inc., New Brunswick, New Jersey

Abstract

OBJECTIVE Diabetes self-management is the cornerstone of overall diabetes management. Yet many questions concerning self-management remain unanswered. The current study was designed to examine several questions about diabetes self-management: 1) What do individuals report being told to do? 2) What are their self-reported levels and patterns of self-care? 3) Are there differences on self-reported self-management recommendations and levels across various subgroups? RESEARCH DESIGN AND METHODS Mailed surveys were returned by 2,056 individuals (73.4% response rate). Of the total, 13.8% had IDDM and the remainder had NIDDM, with 65% of the NIDDM group using insulin. RESULTS The levels and patterns of self-management were consistent with those found in previous studies, i.e., individuals most regularly followed their prescribed medication regimen and least regularly followed recommendations for lifestyle changes of diet and exercise. There were significant differences on reported self-management recommendations across different subgroups. Comparisons on level of self-management across diabetes type revealed significant differences for diet and glucose testing. Differences were also found on self-management levels for a number of individual characteristics, including age, working status, and type of insurance, along with knowledge of the Diabetes Control and Complications Trial findings. CONCLUSIONS These findings provide important information on perceived self-management recommendations and the specific self-management levels and patterns in individuals with diabetes. The current findings may help health professionals better understand the levels and correlates of diabetes self-management and direct future research.

Publisher

American Diabetes Association

Subject

Advanced and Specialized Nursing,Endocrinology, Diabetes and Metabolism,Internal Medicine

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