scholarly journals Depressive Symptoms and Quality of Life in Adolescents With Type 2 Diabetes: Baseline data from the TODAY study

Diabetes Care ◽  
2011 ◽  
Vol 34 (10) ◽  
pp. 2205-2207 ◽  
Author(s):  
B. J. Anderson ◽  
S. Edelstein ◽  
N. W. Abramson ◽  
L. E. L. Katz ◽  
P. M. Yasuda ◽  
...  
2017 ◽  
Vol 2017 ◽  
pp. 1-7 ◽  
Author(s):  
Xu Wang ◽  
Biyu Shen ◽  
Xun Zhuang ◽  
Xueqin Wang ◽  
Weiqun Weng

Aim.To assess the depressive symptoms status of chronic kidney diseases in Nantong, China, with type 2 diabetes and to identify factors associated with depressive symptoms.Methods.In this cross-sectional analytic study, 210 type 2 diabetic patients were recruited from the Second Affiliated Hospital of Nantong University. Depressive symptoms were assessed with the depression subscale of the Hospital Anxiety and Depression Scale (HAD-D). The quality of life was measured with the RAND 36-Item Health Survey (SF-36). And the independent risk factors of depressive symptoms were assessed by using a stepwise forward model of logistic regression analysis.Results.The mean age of the study subjects was 57.66 years (SD: 11.68). Approximately 21.4% of subjects reported depressive symptoms (n=45). Forward stepwise logistic regression analysis showed that female gender (P=0.010), hypertension (P=0.022), Stage IV (P=0.003), and Stage V (P<0.001) were significant risk factors for depressive symptoms. The quality of life of individuals with HAD-D score <11 was significantly better compared with individuals with HAD-D score ≥ 11.Conclusions.These results indicate that clinicians should be aware that female patients with chronic kidney diseases with T2DM in their late stage with hypertension are at a marked increased risk of depressive symptoms. Providing optimal care for the psychological health of this population is vital.


2006 ◽  
Vol 7 (4) ◽  
pp. 279-288 ◽  
Author(s):  
Deborah A. Chyun ◽  
Gail D. Melkus ◽  
Deborah M. Katten ◽  
Wendie J. Price ◽  
Janice A. Davey ◽  
...  

The objective of this study was to determine the relationship of sociodemographics; diabetes-related factors, including diabetes-related microvascular complications; cardiac risk factors; and psychological factors with quality of life (QOL). Participants enrolled at three sites in the Detection of Ischemia in Asymptomatic Diabetics (DIAD) study were invited to participate in this ancillary study. Questionnaires assessing psychological factors were completed by participants, and the remainder of the data was obtained as part of the DIAD study. Many participants had elevated levels of anxiety (n = 91; 82%), depressive symptoms (n = 16; 14%), anger (n = 38; 34%), and hostility (n = 17; 17%). Results of multivariate analyses conducted for each of the eight domains on the Medical Outcomes Study Short Form-36 and two Diabetes Quality of Life domains demonstrated that in the majority of models (42% to 68% of the variance explained), female sex, peripheral or autonomic neuropathy, physical inactivity, higher body mass index, and the presence of depressive symptoms and anxiety were associated with poorer QOL (p = .0001). These findings demonstrate that anxiety, depressive symptoms, and neuropathy are prevalent in older adults with type 2 diabetes. In addition, potentially important correlations were demonstrated between psychological factors, neuropathy, body mass index, and physical inactivity.


BMJ Open ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. e024696 ◽  
Author(s):  
Jolien Janssen ◽  
Paula S Koekkoek ◽  
Geert-Jan Biessels ◽  
Jaap L Kappelle ◽  
Guy E H M Rutten

ObjectivesTo assess changes in depressive symptoms and health-related quality of life (HRQOL) after screening for cognitive impairment in people with type 2 diabetes.DesignA prospective cohort study, part of the Cognitive Impairment in Diabetes (Cog-ID) study.SettingParticipants were screened for cognitive impairment in primary care. People suspected of cognitive impairment (screen positives) received a standardised evaluation at a memory clinic.ParticipantsParticipants ≥70 years with type 2 diabetes were included in Cog-ID between August 2012 and September 2014, the current study includes 179 patients; 39 screen positives with cognitive impairment, 56 screen positives without cognitive impairment and 84 participants not suspected of cognitive impairment during screening (screen negatives).Outcome measuresDepressive symptoms and HRQOL assessed with the Center for Epidemiologic Studies Depression Scale (CES-D), 36-Item Short-Form Health Survey, European Quality of Life-5 Dimensions questionnaire and the EuroQol Visual Analogue Scale. Outcomes were assessed before the screening, and 6 and 24 months after screening. An analysis of covariance model was fitted to assess differences in score changes among people diagnosed with cognitive impairment, screen negatives and screen positives without cognitive impairment using a factor group and baseline score as a covariate.ResultsOf all participants, 60.3% was male, mean age was 76.3±5.0 years, mean diabetes duration 13.0±8.5 years. At screening, participants diagnosed with cognitive impairment had significantly more depressive symptoms and a worse HRQOL than screen negatives. Scores of both groups remained stable over time. Screen positives without cognitive impairment scored between the other two groups at screening, but their depressive symptoms decreased significantly during follow-up (mean CES-D: −3.1 after 6 and −2.1 after 24 months); their HRQOL also tended to improve.ConclusionsDepressive symptoms are common in older people with type 2 diabetes. Screening for and a subsequent diagnosis of cognitive impairment will not increase depressive symptoms.


Author(s):  
E. Bąk ◽  
A. Młynarska ◽  
C. Marcisz ◽  
R. Bobiński ◽  
D. Sternal ◽  
...  

Abstract Introduction There have been no comprehensive studies that assess the impact of frailty syndrome on quality of life (QoL) of patients with diagnosed type 2 diabetes. The purpose of the study was to assess the impact of frailty syndrome on QoL and depression symptoms of patients with type 2 diabetes. Methods The study included 148 consecutive patients (aged ≥ 60y). The patients were divided into two groups according to the prevalence of the frailty syndrome: robust and frailty. For all of the patients that were included in the study, we used the Polish version of validated instruments: ADDQoL, TFI and BDI. Results In the study group, 43.2% had been diagnosed with frailty syndrome. An analysis of QoL assessment depending on the prevalence of the frailty syndrome showed that patients who were robust (without recognized frailty syndrome) assessed QoL significantly better than patients with coexisting frailty syndrome. Robust patients did not have any severe depressive symptoms, whereas in the group of patients with the frailty syndrome 43.8% of the patients had a depression. 70.2% of the patients without any depressive symptoms were robust patients, meanwhile only 14% of the patients had frailty syndrome recognized. Conclusions Frailty syndrome occurred in 43 percent of the patients with type 2 diabetes. This has a negative impact on QoL of patients. Depression is more common in patients with the frailty syndrome and diabetes.


2010 ◽  
Vol 89 (3) ◽  
pp. 227-230 ◽  
Author(s):  
M. Papelbaum ◽  
H.M. Lemos ◽  
M. Duchesne ◽  
R. Kupfer ◽  
R.O. Moreira ◽  
...  

2013 ◽  
Vol 57 (1) ◽  
pp. 44-50 ◽  
Author(s):  
Thiago Medeiros da Costa Daniele ◽  
Veralice Meireles Sales de Bruin ◽  
Débora Siqueira Nobre de Oliveira ◽  
Clara Mota Randal Pompeu ◽  
Adriana Costa e Forti

OBJECTIVE: To investigate associations between physical activity, comorbidity severity, depressive symptoms, and health-related quality of life in type 2 diabetes mellitus. SUBJECTS AND METHODS: All individuals, 200 patients and 50 controls, aged from 40 to 60 years, were investigated by interview, and all variables were measured concurrently. Physical activity was evaluated by the International Physical Activity Questionnaire (IPAQ), Health-Related Quality of Life (HRQL) by the Short-Form Health Survey (SF-36), comorbidity severity by the Charlson Comorbidity Index (CCI), and depressive symptoms by the Beck Depression Inventory (BDI-II > 16). Single and multiple regression analysis evaluated the effects of independent variables on physical activity. RESULTS: The patients had more depressive symptoms and greater comorbidity severity (p < 0.005). Diabetic patients showed better activity levels (IPAQ) (p < 0.005). Functional Capacity, General State of Health, and Physical Limitation were the most affected subscales in the SF-36 evaluation of the HRQL. Sedentary diabetic patients had higher waist circumference, waist-to-hip ratios, more depressive symptoms, and worse HRQL. Functional capacity (p = 0.000), followed by General State of Health (p = 0.02), were the health status measure subscales independently associated with physical activity. Conclusions: The findings suggest that increasing patient independence and treating depressive symptoms can promote physical activity for type 2 diabetes mellitus patients. It is suggested that group activities and caregivers/family support might compensate for the patient dependence, and increase adherence to exercise programs in those that are less active.


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