Variance In Self-care Behaviors Research Articles

Self-Efficacy and Self-Care Behavior in Patients with Unruptured Intracranial Aneurysm after Treatment with Coil Embolization

This study aimed to identify the self-efficacy and self-care behaviors in patients with an unruptured intracranial aneurysm who have undergone coil embolization.A cross-sectional study was conducted to 143 patients who were diagnosed with unruptured intracranial aneurysm and visited the outpatient department of radiology for follow-up management after performing coil embolization at a tertiary hospital, Seoul. The self-efficacy and self-care behaviors were measured using self-reported questionnaire. The collected data were analyzed with independent t-test, one-way analysis of variance, Pearson's correlation using the SPSS/win 26.0 statistical programs (IBM Corp, Armonk, NY, USA).The mean score of self-efficacy in patients with an unruptured intracranial aneurysm was 3.49±0.55 out of 5. The mean score of self-care behaviors was 3.69±0.66 out of 5. The self-efficacy exhibited statistically significant differences depending on the size and number of the cerebral aneurysms and the presence of such aneurysms remaining after treatment. There was a positive correlation between self-efficacy and self-care behaviors (r=0.37, P=0.001). Regression analysis revealed that the patient's self-care behaviors of the patients was explained by self-efficacy (β=0.37, P<0.001) and these variables explained 13.3% of the variance in self-care behaviors (F=22.86, P<0.001).In order to increase self-care behaviors, it is necessary to develop self-efficacy interventions so that an unruptured intracranial aneurysm who have undergone coil embolization can effectively cope with various difficulties during treatment course.

Factors Influencing Self-care behaviors in Elderly Hemodialysis Patients

A growing number of patients are supported by dialysis in older age. Care of these patients can be challenging due to chronic healthcare conditions, diminished quality of life, and an increased risk of death. The purposes of this study were to measure self-care behaviors in elderly hemodialysis (HD) patients and to identify variables associated with self-care behaviors. The subjects were 113 elderly patients on HD who visited a tertiary hospital in Seoul between November 5th and 30th, 2012, and consented to participate in the study. The SPSS WIN 15.0 program was used of data analysis. The mean score for self-care behaviors was 3.14. Caring for an arteriovenous fistula, followed by taking medication showed the highest scores for self-care activities, and engaging in social activities and diet control showed the lowest scores. The mean score for social support was 76.8. Significant negative correlation was observed between self-care behaviors and serum phosphorus, and potassium concentration, and significant positive correlation was observed between self-care behaviors and social support. Age, education level, and social support predicted value accounted for 36.8% of the variance in self-care behaviors in elderly hemodialysis patients. Dialysis providers should recognize self-care behaviors as an important nursing issue for elderly hemodialysis patients, and self-care and self-efficacy training should be provided to improve patients’ confidence in performing self-care behaviors.

Factors affecting self-care behavior in Koreans with COPD

BackgroundDespite the importance of self-care in people with COPD, little is known about the effect of symptoms and symptom clusters on self-care behavior in people with exacerbated COPD. This study was designed to describe their level of self-care and to examine factors associated with self-care behavior, including symptoms and symptom clusters. MethodsFor this cross-sectional descriptive study, the researcher recruited Koreans with exacerbated COPD (N=71) from three tertiary care hospitals. Self-care behavior was measured with Alberto Chronic Obstructive Pulmonary Disease Self-care Behavior Inventory. Descriptive and inferential statistics were used to analyze the data from structured interviews, questionnaires, and clinical measures. ResultsMean score of self-care behavior was 119.30. Level of education, comorbidities, emergency department visits during past year, general health perception, and education about exacerbation and symptom management explained 43.9% of total variance in self-care behavior. When individual symptoms were added to the regression model, anxiety accounted for the largest change in total variance in self-care behavior. When a symptom cluster group variable was added to the regression model, change in total variance in self-care behavior was significantly greater than change in variance from individual symptoms. ConclusionStudy results indicate that nurses should assess level of self-care in people with COPD and provide them with appropriate education to improve their self-care behavior. Further, it will remind nurses to heed symptom levels and other variables that affect self-care behavior. COPD patients with a lower level of multiple symptoms should be targeted for intervention to improve self-care.

Prediction of Self-Care Behavior Using Extended Theory of Reasoned Action among Women with Type 2 Diabetes Referred to Health Centers of Mashhad

Background and objective: The successful management of diabetes relies on performing individual designed self-care activities to control symptoms and avoid complications; but one of the causes of diabetes complications is lack of self-care by diabetic patients. Therefore this study was conducted to predict self-care behavior using extended theory of reasoned action (ETRA) among women with type 2 diabetes. Materials and methods: In this cross-sectional and descriptive-analytical study, 300 women with type 2 diabetes referred to government health centers in the city of Mashhad were selected by multistage cluster sampling method. Data gathering tools were ETRA questionnaire and Toobert and colleagues’ brief scale of self-care behaviors'. For data analysis was used by descriptive and inferential statistics through SPSS 21. For prediction self-care behavior, as dependent variables, was used from multiple linear regression (using the Enter and backward models). Results: The self-efficacy was the most important structure for predicting of self-care intention. Results of regression showed that 55 the variance of behavioral intention and 24 the variance in self-care behavior can be predicted by the model. Conclusion: The theory of reasoned action along with self-efficacy is suitable for predicting the self-care behaviors in diabetic women and self-efficacy is considered an important structure in determining self-care behaviors. Paper Type: Research Article.

Health literacy, self-efficacy, and self-care behaviors in patients with type 2 diabetes mellitus

The study purpose was to explore the relationships among health literacy, self-efficacy, and self-care behaviors of patients with type 2 diabetes. A cross-sectional study with a descriptive correlational design was conducted. Patients (N = 150) with type 2 diabetes were recruited from diabetes clinics in the Marshall Islands. Levels of health literacy, self-efficacy, and self-care behaviors were assessed by a questionnaire. Health literacy, receiving diabetes education, and employment status together explained 11.8% of the variance in self-efficacy (F((3,147)) = 7.58, p < .001). Patients who had higher health literacy, received more diabetes-related education, were currently employed and had better self-efficacy. Self-efficacy and marital status together explained 16.7% of the variance in self-care behaviors (F((2,148)) = 15.96, p < .001). Patients who had higher self-efficacy and who were married had better self-care behaviors. Strategies are needed to incorporate the concept of self-efficacy in the design of diabetes education to promote patients' self-care behaviors, with an emphasis on dealing with hyper- or hypoglycemia, following the diet plan, and checking blood sugar levels as recommended. Diabetes education material that requires a lower literacy level may be needed for older or unemployed adult populations.

Self-Care Behaviors and Depressive Symptoms of Low-Income Elderly Women with Hypertension

This study aimed to compare self-care behaviors and depressive symptoms between the young old (65-74 yr) and the old-old (75-84 yr) in low-income women with hypertension. This study used a descriptive research design. The subjects of this study were 136 elderly women over 65 yr living in D city. Data was collected from September to December 2007 through personal interviews using a questionnaire. The collected data was analyzed using the SPSS WIN 12.0 Program. Self-care behaviors, functional status, and number of medications showed a significant difference between young elderly and middle elderly. There was a negative correlation between self-care behaviors and depressive symptoms. 52.2% of variance in self-care behaviors of young elderly and 76.8% of variance in self-care behaviors of middle elderly were explained by depressive symptoms, number of medications, and functional status. It is necessary to manage depressive symptoms to improve the self-care behaviors of low-income elderly with hypertension. Depressive symptoms need to be considered in planning hypertension programs for low-income elderly women.

A predictive model of well-being and self-care for rural elderly women in Taiwan.

A predictive model of well-being and self-care was tested with 284 women aged 60-88 living in rural communities in Taiwan. The variables studied were age, marital status, social class, social support, perceived health, self-care agency, self-care behavior, and perceived well-being. The model was tested by path analysis. The parameters of the model were estimated with the maximum likelihood method. In the refined model, chi2 (12, N = 284) = 15.18, p =.23), 33% of the total variance in well-being was explained by self-care behavior, social support, and perceived health; 66% of the total variance in self-care behavior was explained by self-care agency and social support; 49% of the total variance in self-care agency was explained by social support, perceived health, social class, and age; 14% of the total variance in social support was explained by marital status, social class, and age; and 8% of the total variance in perceived health was explained by social support. The goodness-of-fit index was.99, indicating that the refined model fit the data well. The findings of this study contribute to a greater understanding of this predictive model for application with older women in rural Taiwan.

A Study of Factors Predicting Self-care Behavior in Diabetics

【To determine factors affecting self-care behavior of diabetics, the relationships of hardiness, family support, demographic and medical variables to self-care behavior were investigated in 180 samples with non-insulin dependent diabetes mellitus. In stepwise multiple regression analysis, 26.76% of the variance in self-care behavior was accounted for by family support(15.52%), age(7.76%), and clinical history (2.07%). To compare the magnitude of predictor's significance by gender, stepwise multiple regression was conducted seperatively by gender group. In the male sample 25.22% of the variance in self-care behavior was accounted for by family support, age, and challenge. In the female sample family support, age, and committment were significant predictors in self-care behavior with 28.82% of the variance. The results highlight the value of family support in self-care behavior in diabetics regardless of gender difference. According to the finding of this study, family support is the most significant predictor of self-care behavior in NIDDM. This implicates that in future diabetic care, a family member should be encouraged to participate in the patient education process. Also as hardiness is not supported by a unidimensional construct, more empirical studies are recommended to differentiate the conceptual traits for the three subconcepts of hardiness.】

Psychosocial predictors of self-care behaviors (compliance) and glycemic control in non-insulin-dependent diabetes mellitus.

This study assessed potential psychosocial correlates of self-care behaviors (compliance) and of glycemic control in a community sample of 184 people diagnosed as having non-insulin-dependent (type II) diabetes mellitus. Four different diabetes self-care behaviors were studied (medication taking, glucose testing, diet, and exercise), and glycemic control was assessed by glycosylated hemoglobin analyses. Multiple measures were collected within each of several categories of psychosocial variables including knowledge, stress, depression, anxiety, diabetes-specific health beliefs, and social support. Findings indicate that approximately 25% of the variance in self-care behaviors can be explained by psychosocial and demographic variables. In contrast, psychosocial variables were not significant predictors of level of glycemic control. The diabetes-specific psychosocial measures of health beliefs and social support were the most consistent and strongest predictors of self-care behavior across the different regimen areas studied. Possible reasons for these findings, limitations of the study, and directions for future research are discussed.