scholarly journals Investigating Factors Associated with Depressive Symptoms of Chronic Kidney Diseases in China with Type 2 Diabetes

2017 ◽  
Vol 2017 ◽  
pp. 1-7 ◽  
Author(s):  
Xu Wang ◽  
Biyu Shen ◽  
Xun Zhuang ◽  
Xueqin Wang ◽  
Weiqun Weng
Keyword(s):  
Quality Of Life ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Regression Analysis ◽  
Depressive Symptoms ◽  
Kidney Diseases ◽  
Chronic Kidney Diseases ◽  
Factors Associated

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.

Risk Factors and Coping Style Affect Health Outcomes in Adults With Type 2 Diabetes

2015 ◽  
Vol 18 (1) ◽  
pp. 82-89 ◽  
Author(s):  
Chiung-Yu Huang ◽  
Hui-Ling Lai ◽  
Yung-Chuan Lu ◽  
Wen-Kuei Chen ◽  
Shu-Ching Chi ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Coping Style ◽  
Coping Styles ◽  
Equation Modeling ◽  
Duration Of Diabetes ◽  
And Coping

Objective: Most psychosocial interventions among individuals with Type 2 diabetes mellitus (T2DM) target depressive symptoms (DSs) rather than causal antecedents that lead to DSs or affect health-related quality of life (HrQoL). This research investigated a conceptual model of the effects of risk factors and coping styles on HrQoL and DSs in patients with T2DM. Method: A descriptive, correlational design was used with a convenience sample of 241 adults with T2DM aged ≥ 20 years recruited from a hospital metabolic outpatient department. Data were collected using a demographic questionnaire, the modified Ways of Coping Checklist, the Center for Epidemiological Studies Depression Scale, the Short Form 36 Health Survey, and physiological examination. HbA1C was collected from participants’ medical records. Structural equation modeling techniques were used to analyze relationships among risk factors, mediators, and HrQoL. Results: Younger age, more education, and longer duration of diabetes predicted better physical quality of life. Duration of diabetes and three coping styles predicted DSs. Longer duration of diabetes and lower fasting glucose predicted better mental quality of life. Three coping styles acted as mediators between risk factors and health, that is, active and minimizing styles promoted positive outcomes, while avoidance promoted negative outcomes. Conclusions: This integrated model provides a holistic picture of how risk factors and coping style influence HrQoL and DSs in individuals with T2DM. Nurses could use active coping strategies in cognitive behavioral therapy to enhance glycemic control in patients with T2DM.

scholarly journals The Influence of Hypoglycemia on the Specific Quality of Life in Type 2 Diabetes Mellitus: a Comparative Cross-sectional Study of Diabetics With and Without Hypoglycemia in Xi'an, China

2021 ◽  
Author(s):  
Wu Chao ◽  
Ge Yiling ◽  
Zhang Xinyan ◽  
Liu Mingchao ◽  
Heng Chunni ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Regression Analysis ◽  
Cross Sectional Study ◽  
Hierarchical Regression ◽  
Sectional Study ◽  
Cross Sectional

Abstract Purpose This study aims to explore the incidence of hypoglycemia in patients with type 2 diabetes mellitus (T2DM) and the influence of hypoglycemia on the specific quality of life in T2DM patients.Methods It was a comparative cross-sectional study consisting of 519 T2DM patients in Xi'an, China and patients were investigated by self-reported hypoglycemia and specific quality of life questionnaires during September 2019 to January 2020. Descriptive analysis, t-test, Chi-square test, hierarchical regression analysis and stepwise multiple regression analysis were used to assess the influence of hypoglycemia on the specific quality of life. Results The incidence of hypoglycemia in T2DM patients was 32.18%. The mean score of specific quality of life in diabetes without hypoglycemia was 57.33±15.36 and was 61.56±17.50 in those with hypoglycemia, which indicated that hypoglycemia had a serious impact on the quality of life diabetics (t＝-5.172, p＝0.000). In the Univariate analysis of specific quality of life, age, education background, marital status, living status, duration of diabetes, monthly income per capita were independent and significant factors associated with specific quality of life of two groups of T2DM patients (P<0.05). In the hierarchical regression analysis, the duration of the diabetes more than 11 years and the frequency of hypoglycemia more than 6 times in half a year entered the equation of specific quality of life of 519 diabetics respectively (P<0.001). In multiple linear regression analysis, age, marital status and income both entered the regression equation of quality of life of the two groups (P<0.05).Conclusion Hypoglycemia will have a serious impact on the quality of life of T2DM patients. In order to improve the living quality in diabetics, effective measurements should be taken to strengthen the management of blood glucose and avoid hypoglycemia.

The Association of Psychological Factors, Physical Activity, Neuropathy, and Quality of Life in Type 2 Diabetes

2006 ◽  
Vol 7 (4) ◽  
pp. 279-288 ◽  
Author(s):  
Deborah A. Chyun ◽  
Gail D. Melkus ◽  
Deborah M. Katten ◽  
Wendie J. Price ◽  
Janice A. Davey ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Type 2 Diabetes ◽  
Body Mass Index ◽  
Depressive Symptoms ◽  
Body Mass ◽  
Psychological Factors ◽  
Physical Inactivity ◽  
Short Form

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.

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 ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Type 2 Diabetes ◽  
Depressive Symptoms ◽  
Baseline Data

scholarly journals Factors associated with quality of life in patients with Type 2 diabetes of Cotonou, South Benin

2021 ◽  
Vol 35 (S1) ◽  
Author(s):  
Halimatou Alaofe ◽  
Waliou Hounkpatin ◽  
Francois Djrolo ◽  
John Ehiri ◽  
Cecilia Rosales
Keyword(s):  
Quality Of Life ◽  
Type 2 Diabetes ◽  
Factors Associated

scholarly journals Chronic pain after breast surgery: incidence, associated factors and impact on quality of life, an observational prospective study

2021 ◽  
Author(s):  
Gianluca Villa ◽  
Raffaele Mandarano ◽  
Caterina Scirè Calabrisotto ◽  
Valeria Rizzelli ◽  
Martina Del Duca ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Risk Factors ◽  
Chronic Pain ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Breast Surgery ◽  
Factors Associated ◽  
Axillary Surgery

Abstract Background. Chronic pain after breast surgery (CPBS) has a disabling impact on postoperative health status. Mainly because of the lack of a clear definition, inconsistency does exist in the literature concerning both the actual incidence and the risk factors associated to CPBS. The aim of this prospective, observational study is to describe the incidence of and risk factors for CPBS, according to the definition provided by the IASP taskforce. The impact of CPBS on patients’ function and quality of life is also described. Methods. Women aged 18+ undergoing oncological or reconstructive breast surgery from Jan until Apr 2018 at the Breast Unit of Careggi Hospital (Florence, Italy) were prospectively observed. Postoperative pain was measured at 0hrs, 3hrs, 6hrs, 12hrs, 24hrs, 48hrs, and 3 months (CPBS) after surgery. Preoperative, intraoperative, and postoperative factors were compared in CPBS and No-CPBS groups through multivariate logistic regression analysis. Results. Among the 307 patients considered in this study, the incidence of CPBS was 28% [95%CI 23.1%-33.4%]. Results from the logistic regression analysis suggest that axillary surgery (OR [95%CI], 2.99 [1.13-7.87], p=0.03), preoperative use of pain medications (OR [95%CI], 2.04 [1.20-3.46], p=0.01), and higher dynamic NRS values at 6 hours postoperatively (OR [95%CI], 1.28 [1.05-1.55], p=0.01) were all independent predictors for CPBS. Conclusions. Chronic pain after breast surgery is a frequent complication. In our cohort, long-term use of analgesics for pre-existing chronic pain, axillary surgery, and higher dynamic NRS values at 6 hours postoperatively were all factors associated with increased risk of developing CPBS. The possibility to early detect persistent pain, particularly in those patients at high risk for CPBS, might help physicians to more effectively prevent pain chronicisation.Trial registration: clinicalTrials.gov registration NCT04309929

scholarly journals Risk factors of chronic kidney diseases in Chinese adults with type 2 diabetes

2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Lin Yang ◽  
Tsun Kit Chu ◽  
Jinxiao Lian ◽  
Cheuk Wai Lo ◽  
Pak Ki Lau ◽  
...  
Keyword(s):  
Risk Factors ◽  
Type 2 Diabetes ◽  
Kidney Diseases ◽  
Chinese Adults ◽  
Chronic Kidney Diseases

Simulation of Quality-Adjusted Survival in Chronic Diseases

2011 ◽  
Vol 31 (4) ◽  
pp. 559-570 ◽  
Author(s):  
Alison J. Hayes ◽  
Philip M. Clarke ◽  
Merryn Voysey ◽  
Anthony Keech
Keyword(s):  
Quality Of Life ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Health Utility ◽  
Clinical Risk Factors ◽  
Patient Level ◽  
Clinical Risk ◽  
Life Years

Background. Recent studies have demonstrated that measures of health-related quality of life can predict complications and mortality in patients with diabetes, even after adjustment for clinical risk factors. Methods. The authors developed a simulation model of disease progression in type 2 diabetes to investigate the impact of patient quality of life on lifetime outcomes and its potential response to therapy. Changes in health utility over time are captured as a result of complications and aging. All risk equations, model parameter estimates, and input data were derived from patient-level data from the Fenofibrate Intervention and Event Lowering in Diabetes (FIELD) trial. Results. Healthier patients with type 2 diabetes enjoy more life years, quality-adjusted life years (QALYs), and more life years free of complications. A 65-year-old patient at full health (utility = 1) can expect to live approximately 2 years longer and achieve 6 more QALYs than a patient at average health (utility = 0.8), given similar clinical risk factors. For patients with higher EQ-5D utility, the additional years lived without complications contribute more to longer life expectancy than years lived with complications. Conclusions. The authors have developed a model for progression of disease in diabetes that has a number of novel features; it captures the observed relationships between measures of quality of life and future outcomes, the number of states have been minimized, and it can be parameterized with just 4 risk equations. Underlying the simple model structure is important patient-level heterogeneity in health and outcomes. The simulations suggest that differences in patients’ EQ-5D utility can account for large differences in QALYs, which could be relevant in cost-utility analyses.

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