Biomaterial Database

Locus of control, social support, and adherence to the diabetes regimen. 1996

L M Tillotson, and M S Smith

There is a need to better understand how psychosocial factors influence regimen adherence behavior. Therefore, the purpose of this study was to assess the ability of internal diabetes locus of control and social support to predict adherence to a weight-control regimen among persons with non-insulin-dependent diabetes mellitus (NIDDM). A community-based sample of 465 patients with NIDDM was interviewed. Regression analyses revealed that internal locus of control and social support were modest but statistically significant predictors. Correlation analyses showed that internal locus of control was not related to weight control in the high social support group. In the low social support group, a stronger internal locus of control was not associated with weight management. The ways in which internal locus of control and social support work together were not clear. The findings suggest that these two factors are advantageous for promoting regimen adherence.

UI	MeSH Term	Description	Entries
D007389	Internal-External Control	Personality construct referring to an individual's perception of the locus of events as determined internally by his or her own behavior versus fate, luck, or external forces. (ERIC Thesaurus, 1996).	Locus of Control,External-Internal Control,Sense of Control,Control Locus,Control, External-Internal,Controls, External-Internal,Controls, Internal-External,Internal-External Controls
D008297	Male		Males
D008875	Middle Aged	An adult aged 45 - 64 years.	Middle Age
D010349	Patient Compliance	Voluntary cooperation of the patient in following a prescribed regimen.	Client Adherence,Client Compliance,Non-Adherent Patient,Patient Adherence,Patient Cooperation,Patient Noncompliance,Patient Non-Adherence,Patient Non-Compliance,Patient Nonadherence,Therapeutic Compliance,Treatment Compliance,Adherence, Client,Adherence, Patient,Client Compliances,Compliance, Client,Compliance, Patient,Compliance, Therapeutic,Compliance, Treatment,Cooperation, Patient,Non Adherent Patient,Non-Adherence, Patient,Non-Adherent Patients,Non-Compliance, Patient,Nonadherence, Patient,Noncompliance, Patient,Patient Non Adherence,Patient Non Compliance,Patient, Non-Adherent,Therapeutic Compliances,Treatment Compliances
D011237	Predictive Value of Tests	In screening and diagnostic tests, the probability that a person with a positive test is a true positive (i.e., has the disease), is referred to as the predictive value of a positive test; whereas, the predictive value of a negative test is the probability that the person with a negative test does not have the disease. Predictive value is related to the sensitivity and specificity of the test.	Negative Predictive Value,Positive Predictive Value,Predictive Value Of Test,Predictive Values Of Tests,Negative Predictive Values,Positive Predictive Values,Predictive Value, Negative,Predictive Value, Positive
D011795	Surveys and Questionnaires	Collections of data obtained from voluntary subjects. The information usually takes the form of answers to questions, or suggestions.	Community Survey,Nonrespondent,Questionnaire,Questionnaires,Respondent,Survey,Survey Method,Survey Methods,Surveys,Baseline Survey,Community Surveys,Methodology, Survey,Nonrespondents,Questionnaire Design,Randomized Response Technique,Repeated Rounds of Survey,Respondents,Survey Methodology,Baseline Surveys,Design, Questionnaire,Designs, Questionnaire,Methods, Survey,Questionnaire Designs,Questionnaires and Surveys,Randomized Response Techniques,Response Technique, Randomized,Response Techniques, Randomized,Survey, Baseline,Survey, Community,Surveys, Baseline,Surveys, Community,Techniques, Randomized Response
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
D005260	Female		Females
D006801	Humans	Members of the species Homo sapiens.	Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man