Coping, control, and adjustment in type 2 diabetes.

Macrodimitris, Sophia; Endler, Norman S.

doi:10.1037/0278-6133.20.3.208

Cited by 117 publications

(112 citation statements)

References 60 publications

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“…The engagement in health-related behaviours was related to the locus of control only in patients with excessive body weight. This result is inconsistent with the authors' assumptions and inconsistent with the results of other reports in which the conviction of influence was related both to health-related behaviours and adherence to medical recommendations in the groups of people with diabetes [3,8,9]. However, as emphasized by Morowatisharifabad et al [9], their low prediction for internal control suggests that other psychological variables undoubtedly play an important role.…”

Section: Discussioncontrasting

confidence: 57%

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The belief of control and engagement in health related behaviours in the groups of adolescents with type 1 diabetes and excess body weight

Miniszewska

Kręciejewska

Szymańska‐Garbacz

2017

Clinical Diabetology

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Section: Discussioncontrasting

confidence: 57%

“…It is recognized that the above-mentioned behaviours may directly affect health (through, e.g. reducing the level of glucose in the blood) and reduce the risk of developing serious complications [3][4][5][6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

The belief of control and engagement in health related behaviours in the groups of adolescents with type 1 diabetes and excess body weight

Miniszewska

Kręciejewska

Szymańska‐Garbacz

2017

Clinical Diabetology

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“…Other studies suggest that an increased level of depression is associated with demographic variables such as low education, female sex, or being unmarried [9,10,11]. Furthermore, general or diabetes-specific social support was found to be associated with fewer depressive symptoms or greater emotional well-being [12,13]. It was concluded that population-based studies are needed which combine a number of risk factors for depression, as illness intrusiveness and social support can mediate the association between disease variables and depression [7].…”

mentioning

confidence: 99%

Rates and risks for co-morbid depression in patients with Type 2 diabetes mellitus: results from a community-based study

et al. 2003

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Aims/hypothesis. There is accumulating evidence that depression is common in people with Type 2 diabetes. However, most prevalence-studies are uncontrolled and could also be inaccurate from selection-bias, as they are conducted in specialized treatment settings. We studied the prevalence and risk factors of comorbid depression in a community-based sample of older adults, comparing Type 2 diabetic patients with healthy control subjects. Methods. A large (n=3107) community-based study in Dutch adults (55-85 years of age) was conducted. Pervasive depression was defined as a CES-D score greater than 15. Diagnosis of Type 2 diabetes was obtained from self-reports and data from general practitioners. Results. A number of 216 patients (7%) were identified as having Type 2 diabetes. The prevalence of pervasive depression was increased in people with Type 2 diabetes and co-morbid chronic disease (20%) but not in patients with Type 2 diabetes only (8%), compared with the healthy control subjects (9%). Regression analyses in diabetic patients yielded that being single, being female, having functional limitations, receiving instrumental support and having an external locus of control were associated with higher levels of depression. Conclusions/interpretation. The Results suggest that the prevalence of pervasive depression is increased in patients with Type 2 diabetes and co-morbid disease(s), but not in patients with Type 2 diabetes only. Functional limitations that often accompany co-morbid chronic disease could play an essential role in the development of depression in Type 2 diabetes. These findings can enable clinicians and researchers to identify high-risk groups and set up prevention and treatment programs. [Diabetologia (2003) ArticlesRates and risks for co-morbid depression in patients with Type 2 diabetes mellitus: results from a community-based study diabetes was 20.5%, versus 11.4% in non-diabetic subjects [1]. It was also concluded that depression does not only have a negative effect on the quality of life of people with diabetes [2] but also on their glycaemic control [3,4,5], and it is associated with increased health-care use and health-care costs [6]. However, many studies aiming to determine the prevalence of depression in Type 2 diabetes are not accurate because of selection bias as they have been conducted in specialised hospitals that treat patients with problematic diabetes. Moreover, potential confounders such as sex, socio-economic status, obesity, concomitant medical illness or complications of diabetes are often not addressed. The authors therefore concluded that additional analyses are required to determine In a recent meta-analysis, the presence of Type 2 diabetes doubled the odds of co-morbid depression. In that study, data of 18 controlled studies were used, and the mean unadjusted prevalence of depression in

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“…A long list of factors have been identified to date, female sex (3), younger age (3,17), being unmarried (3,8,18), lower socioeconomic status (10,(17)(18)(19), perceived poor physical health (3,20,21), lack of social support (22), and perceived lack of control and illness intrusiveness (23,24). Other important factors include duration of diabetes (24), having multiple complications (7,(25)(26)(27), poor glycemic control (5,8), smoking (28), and type of treatment for diabetes (nonuse of insulin) (17).…”

mentioning

confidence: 99%

“…For instance, several studies used nonrepresentative samples from few clinical sites (17)(18)(19)(20)22,25,26,28), others used minority populations (6,10) and other subpopulations (8,12), and a few others used managed care populations (4,29). In addition, some studies included only a few participants (23,27), whereas several studies did not differentiate depressive symptomatology obtained from screening questionnaires from clinical diagnoses obtained from diagnostic interview schedules (2). Most importantly, several of these earlier studies did not adequately control for confounding.…”

mentioning

confidence: 99%

Independent Factors Associated With Major Depressive Disorder in a National Sample of Individuals With Diabetes

2003

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OBJECTIVE -To determine whether perceived poor physical health, duration of diabetes, and smoking are associated with major depressive disorder in a national sample of individuals with diabetes.RESEARCH DESIGN AND METHODS -Data on 1,810 individuals with diabetes from the 1999 National Health Interview Survey (NHIS) were analyzed. The Composite International Diagnostic Interview (CIDI) Short-Form (CIDI-SF) developed by the World Health Organization was used to identify individuals with major depressive disorder. Multiple logistic regression was used to determine whether perceived poor physical health, duration of diabetes, and smoking were associated with major depressive disorder. The model controlled for age, sex, race/ethnicity, education, income, employment, marital status, and health status. Other control variables included BMI, smoking, duration of diabetes, presence or absence of major complications, and type of treatment for diabetes. SUDAAN software was used for statistical analyses to account for the complex sampling design of NHIS.RESULTS -Independent factors associated with major depressive disorder were age Ͻ64 years, female sex, at least high school education, income Ͻ124% of federal poverty level, perceived worsening of health status, and smoking.CONCLUSIONS -In addition to other psychosocial factors such as younger age, female sex, lower income, at least high school education, and smoking, perceptions about the effect of diabetes on overall health seems to play an important role in the etiology of depression.

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Coping, control, and adjustment in type 2 diabetes.

Cited by 117 publications

References 60 publications

The belief of control and engagement in health related behaviours in the groups of adolescents with type 1 diabetes and excess body weight

The belief of control and engagement in health related behaviours in the groups of adolescents with type 1 diabetes and excess body weight

Rates and risks for co-morbid depression in patients with Type 2 diabetes mellitus: results from a community-based study

Independent Factors Associated With Major Depressive Disorder in a National Sample of Individuals With Diabetes

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