Hormonal and blood glucose responsiveness as an indicator of specific emotional arousal in type 1 diabetics

Longitudinal analysis of depressive symptoms and glycemic control in type 2 diabetes

OBJECTIVE

To compare whether depressive symptoms are more strongly related to subsequent or prior glycemic control in type 2 diabetes and to test whether patient characteristics modify these longitudinal associations.

RESEARCH DESIGN AND METHODS

On two occasions separated by 6 months, depressive symptoms and glycemic control were assessed in 253 adults with type 2 diabetes. Regression analyses examined depressive symptoms as both a predictor and outcome of glycemic control and tested whether medication regimen (e.g., insulin versus oral drugs) was an effect modifier before and after adjusting for baseline levels of the outcome being predicted.

RESULTS

Depressive symptom severity predicted poor glycemic control 6 months later (P = 0.018) but not after baseline glycemic control was taken into account (P = 0.361). Although baseline glycemic control did not generally predict depressive symptoms 6 months later (P = 0.558), it significantly interacted with regimen (P = 0.008). Specifically, glycemic control predicted depressive symptoms among patients prescribed insulin (beta = 0.31, P = 0.002) but not among those prescribed oral medication alone (beta = -0.10, P = 0.210). Classifying depression dichotomously produced similar but weaker findings.

CONCLUSIONS

Depressive symptoms do not necessarily lead to worsened glycemic control. In contrast, insulin-treated patients in poor glycemic control are at moderate risk for worsening of depressive symptoms. These patients should be carefully monitored to determine whether depression treatment should be initiated or intensified.

Association between depression and concurrent Type 2 diabetes outcomes varies by diabetes regimen

AIMS

Although depression has weak associations with several Type 2 diabetes mellitus (DM) outcomes, it is possible that these associations are concentrated within certain patient subgroups that are more vulnerable to their effects. This study tested the hypothesis that depression is related to glycaemic control and diabetes-related quality of life (DQOL) in patients who are prescribed injected insulin, but not those on oral glucose-lowering agents alone.

METHODS

Participants (103 on insulin, 155 on oral glucose-lowering agents alone) with Type 2 DM were recruited from a large US healthcare system and underwent assessment of glycaemic control (glycated haemoglobin; HbA(1c)), medication adherence and diabetes self-care behaviours, DQOL and depression (none, mild, moderate/severe).

RESULTS

There was a significant regimen x depression interaction on HbA(1c) (P = 0.002), such that depression was associated with HbA(1c) in patients using insulin (beta = 0.35, P < 0.001) but not in patients using oral agents alone (beta = -0.08, P = NS). There was a similar interaction when quality of life was analysed as an outcome (P = 0.002). Neither effect was mediated by regimen adherence.

CONCLUSIONS

The generally weak association between depression and glycaemic control is concentrated among patients who are prescribed insulin. Similarly, the association between depression and illness quality of life is strongest in patients prescribed insulin. Because this is not attributable to depression-related adherence problems, psychophysiological mechanisms unique to this group ought to be carefully investigated. Clinicians might be especially vigilant for depression in Type 2 DM patients who use insulin and consider its potential impact upon their illness course.

Predictors of Youth Diabetes Care Behaviors and Metabolic Control: A Structural Equation Modeling Approach

OBJECTIVE

To empirically test a biopsychosocial model of predictors of youth diabetes care behaviors and metabolic control.

METHODS

A cross-sectional multisite study of youths (N = 222) with T1D (mean age = 12.6) used structural equation modeling to examine interrelations among predictors, with follow-up analyses of covariance (ANCOVAs).

RESULTS

Youths' memory skills related to diabetes knowledge which, along with self-efficacy and age, was associated with greater youth responsibility that in turn predicted poorer self-care behaviors. Less frequent/briefer exercise and less frequent blood glucose monitoring/eating were found; the latter directly related to poorer metabolic control. Behavior problems also were associated directly with poorer metabolic control. A parsimonious model found memory directly related to blood glucose testing.

CONCLUSIONS

Continued parental supervision of adolescents, along with monitoring diabetes knowledge and efficacy, may help optimize transfer of diabetes care from parents to youths. Behavior problems warrant immediate attention because of their direct and adverse relation to metabolic control.

Daily stress and glycaemic control in Type 1 diabetes: individual differences in magnitude, direction, and timing of stress-reactivity

The aim of this study was to investigate the relationships between daily stress and glycaemic control in 54 people with Type 1 diabetes over 21 days. Measures included daily reports of stress (hassles), four-times-daily blood glucose measurements, and HbA1c levels. Time-series analyses revealed considerable variation between individuals in the nature and extent of blood glucose response to stress (stress-reactivity). In approximately one-third of the sample, stress was significantly associated with either same- or next-day blood glucose levels (r-range: -0.79 to 0.58). The majority of stress-reactive individuals (20.4% of the sample) demonstrated a positive association between hassles and same-day blood glucose levels. A much less common effect was found in two individuals (3.7%), where hassles were related to decreased same-day blood glucose. 'Stress-reactive' individuals tended to have high HbA1c values at baseline (t(52) = 2.2; P < 0.05), and significant relationships between emotion-focused coping and blood glucose levels (r = 0.93; P < 0.01). In conclusion, although a significant majority of this sample was resistant to the effects of stress, marked individual differences were found in the nature and extent of stress-reactivity. Our study goes beyond other published results as it is longitudinal, uses time-series analyses and includes a relatively larger sample. Clinicians need to be aware of these individual differences in order to advise patients about anticipating and preventing stress-related disruptions of glycaemic control.

Acute stressors and cortisol responses: a theoretical integration and synthesis of laboratory research

This meta-analysis reviews 208 laboratory studies of acute psychological stressors and tests a theoretical model delineating conditions capable of eliciting cortisol responses. Psychological stressors increased cortisol levels; however, effects varied widely across tasks. Consistent with the theoretical model, motivated performance tasks elicited cortisol responses if they were uncontrollable or characterized by social-evaluative threat (task performance could be negatively judged by others), when methodological factors and other stressor characteristics were controlled for. Tasks containing both uncontrollable and social-evaluative elements were associated with the largest cortisol and adrenocorticotropin hormone changes and the longest times to recovery. These findings are consistent with the animal literature on the physiological effects of uncontrollable social threat and contradict the belief that cortisol is responsive to all types of stressors.

Stress management training as related to glycemic control and mood in adults with Type 1 diabetes mellitus

Relationships between attending a stress management and relaxation-training program, glycemic control (HbA(1c)) and mood were examined in two randomised groups of 31 persons with Type 1 diabetes. The program involved group-education 2 h a week for 14 weeks. Whereas one group received the program, the other acted as a control group and received the program later. HbA(1c) was measured and subjects filled out a mood adjective checklist before the start of intervention and both 1 month and 1 year after completing it. In both groups, significant positive mood changes were obtained, but no significant changes in HbA(1c) values occurred. No significant relationship was found between measures of change in HbA(1c) and of changes in mood. For those attending the group-sessions less frequently, the HbA(1c) values were significantly worse on each of the three measurement occasions than the values of those attending more frequently. The effectiveness of the program, with its failure to improve glycemic control but enhancing the mood of participants, is discussed in terms of characteristics of the sample and various methodological issues as well as in comparison with results of similar studies involving Type 1 and Type 2 diabetes.

Stress and metabolic control in diabetes mellitus: methodological issues and an illustrative analysis

RATIONALE

The purpose of this article was twofold: a) to review studies of stress and glycemic control in diabetes, and b) to present a data analysis that illustrates the complexities of investigating stress in relation to blood glucose. The literature review emphasized human studies and the strengths and weaknesses of alternative designs. Special consideration was given to longitudinal investigations, and an analysis of data from the Diabetes Control and Complications Trial (DCCT) was presented to exemplify this approach. Nine individuals with Type 1 diabetes who participated in this project at the University of Iowa were studied over a period of 2 years. Stress was multiply measured (Life Experiences Survey, Hassles Scale, Perceived Stress Scale) as was blood glucose control (daily reflectance meter readings; monthly HbA1c). Within-subject time-series analyses and a combined longitudinal/cross-sectional model were used to analyze data. Two of the nine subjects manifested significant correlations between stress and HbA1c, and six subjects exhibited significant associations between stress and daily level or variability of glucose readings. The latter correlations varied in sign and appeared to cluster around specific individuals rather than a particular measure of stress or blood glucose.

CONCLUSION

While the subjects may not represent the full spectrum of individuals with Type 1 diabetes, results were consistent with earlier longitudinal research in suggesting that the strength and direction of the relationship between stress and blood glucose control varies considerably between individuals.

Psychological stress and neuroendocrine function in humans: the last two decades of research

This paper reviews experimental contributions published in the last two decades and exploring the effect of emotional stress on neuroendocrine function in healthy humans. Laboratory studies allow standardization of the stressor and better control for known confounding factors. Commonly used stressors are mental arithmetics, speech tasks, the Stroop test, videogame playing, films or videotapes and interviews. Little is known about the generalizability of laboratory results, with some studies suggesting great caution in extrapolating data to real-life stress conditions. Another strategy is studying the psychoendocrine reaction to real-life stressors, such as bereavement or anticipated loss, academic examinations, everyday work and parachute jumping. The effects of different stressors on neuroendocrine axes are reviewed, as well as the influence of gender, age, personality, coping style, social support, biological and nonbiological interventions. The subjective perception of the situation is probably a main determinant of the psychoendocrine response pattern. In fact, marked variability in individual responses to a variety of stressors has frequently been observed. Evidently, the 'objective' characteristics of a given event are not the only determinants of reaction to the event itself. According to a constructivistic perspective, every given stressor has a strictly personal and idiosyncratic meaning and loses its 'objective' characteristics. Of course, biological factors may also play a part. In any case, it is mandatory to overcome a rigid dichotomy between psychological and biological processes. Dualistic conceptions which imply a determination of the physical by the psychological or vice versa should give place to a systemic conception, which implies mutual, circular interactions.

Glycemic control and major depression in patients with type 1 and type 2 diabetes mellitus

The current study evaluated the association of glycemic control and major depression in 33 type 1 and 39 type 2 diabetes mellitus patients. Type 1 patients with a lifetime history of major depression showed significantly worse glycemic control than patients without a history of psychiatric illness (t = 2.09; df = 31, p < 0.05). Type 2 diabetes patients with a lifetime history of major depression did not have significantly worse control than those with no history of psychiatric illness. Findings from this study indicate different relationships between lifetime major depression and glycemic control for patients with type 1 and type 2 diabetes. Treatment implications for glycemic control in type 1 and type 2 diabetes patients are discussed.

Hypoglycaemia induces emotional disruption

This study investigated how hypoglycaemia affects mood, whether psychological characteristics mediate an emotional disturbance during hypoglycaemia. Ten IDDM patients (1 female) were studied, aged [mean (range)] 28 (20-37) years, body mass index (BMI) 23.4 (19.6-25.7) kg/m2, diabetes duration 11 (7-15) years, HbA1c 7.5 (6.0-8.7)%. Patients underwent a standardized stepwise, hypoglycaemic, hyperinsulinaemic clamp, performed in steps of 0.5 mmol/l from 4.0 mmol/l to a glucose nadir of 2.0 mmol/l. At euglycaemia, the Symptom Checklist-90 (SCL-90) was administered. The Profile of Mood States (POMS) was completed at 4.0 and 2.5 mmol/l, while the feelings chart of the COOP/WONCA was filled out at euglycaemia and all hypoglycaemic steps.

RESULTS

The t-test for the POMS demonstrated a significant increase for anger (P < 0.05). COOP/WONCA scores displayed a progressive negative change in mood for each hypoglycaemic step, albeit with a large interindividual variability. Hostility (SCL-90) significantly interacted with anger (POMS) at 2.5 mmol/l (P < 0.05).

CONCLUSIONS

Progression of hypoglycaemia negatively alters the overall mood state. IDDM patients characterised by high scores on hostility (SCL-90) apparently are more prone to experience an increase in anger (POMS) during hypoglycaemia.

Diabetes mellitus and psychological well-being. Results of the Nord-Trøndelag health survey

The present study relies on questionnaire data from a diabetes and hypertension screening carried out on the entire adult population of a medium-sized Norwegian county (total number of participants = 74,977). Self-reported diabetic patients were compared with non-diabetics, and with patients with self-reported angina pectoris, previous cardiac infarction, and stroke. The psychological well-being of the known diabetic patients was found to be significantly poorer than that of those without diabetes, but better than that of those with angina and stroke. HbAl level was found to be significantly related to well-being, the low levels of HbAl (below 7.5%) scoring low on well-being and the high levels (above 15%) scoring high. Because of its special design, the present study allowed comparisons between diabetic patients undergoing treatment and newly detected patients who had not yet been treated. Treatment-related interpretations therefore could be rejected.