Biomaterial Database

Food habits are related to glycemic control among people with type 2 diabetes mellitus. 2004

Margaret R Savoca, and Carla K Miller, and David A Ludwig

Department of Nutrition, University of North Carolina, Greensboro, USA.

OBJECTIVE To investigate the food habits of people with type 2 diabetes and to identify those habits related to glycemic control. METHODS The purposive sampling plan targeted people (40 to 65 years old) living in two urban communities in the Southeastern United States with type 2 diabetes for >1 year (60% women, 50% African Americans and low-income individuals). In-depth interviews were used to identify food habits. Glycated hemoglobin (HbA(1c)) was measured to assess glycemic control. METHODS The final sample contained 89 participants (62% women, 48% African American, and 43% below 200% of the poverty level). METHODS Analysis of variance, principal component/factor analysis, cluster analysis, and multiple regression were used to relate food habits to glycemic control. RESULTS A four-factor solution derived from 15 food habits explained 51.5% of the total variance in HbA(1c) values. High factor scores for three factors (Basic Eating Practices, Meal Planning, and Carbohydrate/Vegetable Strategies) and low factor scores for a fourth factor (Challenges of Dining Out) were related to lower HbA(1c) values. Based on similar patterns across the 15 food habits, participants were clustered into four groupings. The clusters differing on HbA(1c) (mean+/-standard deviation) were Healthful Eating Lifestyle (6.25+/-0.25), Disciplined Eating Approach (7.31+/-0.35), Limited Dietary Focus (8.28+/-0.33), and Poor Dietary Management (9.05+/-0.24). These groupings reflected different food habit factor profiles. CONCLUSIONS Knowledge of the specific food habits of people with diabetes can offer a way to structure a meaningful dialog with clients about dietary self-management and guide the collaborative development of relevant dietary goals.

UI	MeSH Term	Description	Entries
D007407	Interviews as Topic	Works about conversations with an individual or individuals held in order to obtain information about their background and other personal biographical data, their attitudes and opinions, etc. It includes works about school admission or job interviews.	Group Interviews,Interviewers,Interviews, Telephone,Oral History as Topic,Group Interview,Interview, Group,Interview, Telephone,Interviewer,Interviews, Group,Telephone Interview,Telephone Interviews
D007722	Health Knowledge, Attitudes, Practice	Knowledge, attitudes, and associated behaviors which pertain to health-related topics such as PATHOLOGIC PROCESSES or diseases, their prevention, and treatment. This term refers to non-health workers and health workers (HEALTH PERSONNEL).	Knowledge, Attitudes, Practice
D008297	Male		Males
D008875	Middle Aged	An adult aged 45 - 64 years.	Middle Age
D011203	Poverty	A situation in which the level of living of an individual, family, or group is below the standard of the community. It is often related to a specific income level.	Federal Poverty Level,Federal Poverty Threshold,Indigency,Low-Income Population,Absolute Poverty,Extreme Poverty,Indigents,Low Income Population,Federal Poverty Levels,Indigent,Level, Federal Poverty,Low Income Populations,Low-Income Populations,Population, Low Income,Population, Low-Income,Poverty Level, Federal,Poverty Threshold, Federal,Poverty, Absolute,Poverty, Extreme
D012044	Regression Analysis	Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable.	Regression Diagnostics,Statistical Regression,Analysis, Regression,Analyses, Regression,Diagnostics, Regression,Regression Analyses,Regression, Statistical,Regressions, Statistical,Statistical Regressions
D003924	Diabetes Mellitus, Type 2	A subclass of DIABETES MELLITUS that is not INSULIN-responsive or dependent (NIDDM). It is characterized initially by INSULIN RESISTANCE and HYPERINSULINEMIA; and eventually by GLUCOSE INTOLERANCE; HYPERGLYCEMIA; and overt diabetes. Type II diabetes mellitus is no longer considered a disease exclusively found in adults. Patients seldom develop KETOSIS but often exhibit OBESITY.	Diabetes Mellitus, Adult-Onset,Diabetes Mellitus, Ketosis-Resistant,Diabetes Mellitus, Maturity-Onset,Diabetes Mellitus, Non-Insulin-Dependent,Diabetes Mellitus, Slow-Onset,Diabetes Mellitus, Stable,MODY,Maturity-Onset Diabetes Mellitus,NIDDM,Diabetes Mellitus, Non Insulin Dependent,Diabetes Mellitus, Noninsulin Dependent,Diabetes Mellitus, Noninsulin-Dependent,Diabetes Mellitus, Type II,Maturity-Onset Diabetes,Noninsulin-Dependent Diabetes Mellitus,Type 2 Diabetes,Type 2 Diabetes Mellitus,Adult-Onset Diabetes Mellitus,Diabetes Mellitus, Adult Onset,Diabetes Mellitus, Ketosis Resistant,Diabetes Mellitus, Maturity Onset,Diabetes Mellitus, Slow Onset,Diabetes, Maturity-Onset,Diabetes, Type 2,Ketosis-Resistant Diabetes Mellitus,Maturity Onset Diabetes,Maturity Onset Diabetes Mellitus,Non-Insulin-Dependent Diabetes Mellitus,Noninsulin Dependent Diabetes Mellitus,Slow-Onset Diabetes Mellitus,Stable Diabetes Mellitus
D003927	Diet, Diabetic	A course of food intake prescribed for patients, that limits the amount of foods with a high GLYCEMIC INDEX.	Diabetic Diet,Diabetic Diets,Diets, Diabetic
D005163	Factor Analysis, Statistical	A set of statistical methods for analyzing the correlations among several variables in order to estimate the number of fundamental dimensions that underlie the observed data and to describe and measure those dimensions. It is used frequently in the development of scoring systems for rating scales and questionnaires.	Analysis, Factor,Analysis, Statistical Factor,Factor Analysis,Statistical Factor Analysis,Analyses, Factor,Analyses, Statistical Factor,Factor Analyses,Factor Analyses, Statistical,Statistical Factor Analyses
D005247	Feeding Behavior	Behavioral responses or sequences associated with eating including modes of feeding, rhythmic patterns of eating, and time intervals.	Dietary Habits,Eating Behavior,Faith-based Dietary Restrictions,Feeding Patterns,Feeding-Related Behavior,Food Habits,Diet Habits,Eating Habits,Behavior, Eating,Behavior, Feeding,Behavior, Feeding-Related,Behaviors, Eating,Behaviors, Feeding,Behaviors, Feeding-Related,Diet Habit,Dietary Habit,Dietary Restriction, Faith-based,Dietary Restrictions, Faith-based,Eating Behaviors,Eating Habit,Faith based Dietary Restrictions,Faith-based Dietary Restriction,Feeding Behaviors,Feeding Pattern,Feeding Related Behavior,Feeding-Related Behaviors,Food Habit,Habit, Diet,Habit, Dietary,Habit, Eating,Habit, Food,Habits, Diet,Pattern, Feeding,Patterns, Feeding,Restrictions, Faith-based Dietary