Prevalence of depression, risk factors, and quality of life in patients with epilepsy in a remote area of western Rajasthan

2022 ◽  
Vol 127 ◽  
pp. 108488
Author(s):  
Girish Chandra Baniya ◽  
Kamala Verma
Keyword(s):  
Quality Of Life ◽  
Risk Factors ◽  
Remote Area ◽  
Depression Risk ◽  
Prevalence Of Depression ◽  
Patients With Epilepsy

scholarly journals Prevalence and Associated Factors of Depression among Patients with Diabetes at Jazan Province, Saudi Arabia: A Cross-Sectional Study

2019 ◽  
Vol 2019 ◽  
pp. 1-6 ◽  
Author(s):  
Jnadi M. Madkhali ◽  
Ammar A. Hakami ◽  
Ali H. Dallak ◽  
Ramzi M. Hakami ◽  
Abdullah A. Yatimi ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Risk Factors ◽  
Associated Factors ◽  
Cross Sectional Study ◽  
Diabetic Patients ◽  
Sectional Study ◽  
Cross Sectional ◽  
Prevalence Of Depression ◽  
Patients With Diabetes

Context. Patients with diabetes mellitus (DM) have a poorer quality of life when compared with patients without DM. In fact, one in every five diabetic patients suffers from comorbid depression, which can lead to poor management, poor compliance with treatment, and low quality of life. Therefore, we assessed the prevalence of depression and identified its associated factors among diabetic patients at Jazan Province, KSA. Methods and Materials. A cross-sectional study was conducted among 500 diabetic patients attending a diabetic center in addition to four primary healthcare centers. We used a simple Arabic translation of the Beck Depression Inventory (BDI II) tool to evaluate the depression level among the subjects. We also evaluated the frequencies of certain sociodemographic characteristics and clinical information. Moreover, we performed univariate and multivariate analyses to identify the potential risk factors using adjusted odds ratios (AORs). Results. The prevalence of depression among DM patients was 20.6%. The majority of patients showed no depression (N = 285, 59.4%), one-fifth had mild depression (N = 96, 20.0%), some (N = 55, 11.4%) had moderate depression, and some had severe depression (N = 44, 9.2%). Depression was significantly more prevalent among uneducated patients (N = 27, 31.8%) (X2 = 17.627, P = 0.001) and patients with low monthly income (< 2500 SR/month) (N = 33, 22.8%) (X2 = 9.920, P = 0.019). Hypertension (AOR = 2.531, 95% CI [1.454, 4.406]) and ischemic heart diseases (AOR = 3.892, 95% CI [1.995, 7.593]) were considered as risk factors for depression among diabetic patients. Conclusions. Almost one in every five patients with DM is affected by depression coexisting with cardiovascular diseases. Therefore, screening for psychological problems, proper treatment, and educating patients with diabetes about DM self-management should be routine components of DM care.

scholarly journals Evaluation of clinical aspects and quality of life as risk factors for depression in patients with epilepsy

Seizure ◽  
2012 ◽  
Vol 21 (5) ◽  
pp. 367-370 ◽  
Author(s):  
Ting Zhao ◽  
Ming-yue Sun ◽  
Pei-min Yu ◽  
Guo-xing Zhu ◽  
Xing-hua Tang ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Risk Factors ◽  
Clinical Aspects ◽  
Patients With Epilepsy

Clinical case of a comorbid patient with arterial hypertension

2020 ◽  
pp. 31-39
Author(s):  
Ella Polozova ◽  
Vsevolod Skvortsov ◽  
Olga Radaykina ◽  
Mariya Narvatkina ◽  
Anastasiya Seskina ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Risk Factors ◽  
Arterial Hypertension ◽  
Clinical Picture ◽  
Clinical Case ◽  
Diagnosis And Treatment ◽  
The Moment

The widespread prevalence of comorbid pathology determines the relevance of this problem. Comorbid pathology due to the interaction of diseases, drug pathomorphism, age characteristics of the patient, significantly changes clinical picture and course of the main nosology, affects severity of complications and their nature, significantly affects quality of life and prognosis of patients. Diagnosis and treatment of many diseases is complicated in the conditions of comorbidity. The article presents a clinical case of a comorbid patient with arterial hypertension from the moment of exposure to risk factors and ending with the formation of many concomitant diseases, as an example of trans-nosological comorbidity.

Features and methods of assessing health-related quality of life and cognitive functions in patients with glial tumors

2020 ◽  
pp. 47-56
Author(s):  
Vera Arsenyeva ◽  
Boris Martynov ◽  
Gennadiy Bulyshchenko ◽  
Dmitriy Svistov ◽  
Boris Gaydar ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Cognitive Functions ◽  
Well Being ◽  
Health Related Quality ◽  
Number Of Patients ◽  
Related Quality ◽  
Health Related ◽  
Eortc Qlq ◽  
Patients With Epilepsy

Gliomas make up about 8 cases per 100,000 population and the number of patients with this disease is only increasing. There can be not only various types of neurological deficits among the symptoms, but also personal and emotional changes, that seriously affects the quality of life. The modern model of health care includes not only recovery of the patient’s physical functions, but also his or her psychosocial well-being. In particular, the assessment and study of the characteristics of health-related quality of life, as well as cognitive functions in patients with gliomas, is increasingly recognized as an important criterion when considering the effectiveness of treatment. To date, the features of health related quality of life and cognitive functions of patients with epilepsy and acute cerebral circulation disorders have been studied sufficiently, and, as a result, techniques have been developed that accurately assess the QOL and CF in patients with these diseases. These are QOLIE-31 and QOLIE-AD-48 questionnaires for patients with epilepsy. This is the National Institutes of Health Stroke Scale (NIHSS), Orgogozo stroke scale (OSS), World Federation of Neurological Surgeons (WFNS) scale for the clinical assessment of subarachnoid hemorrhage (SAH) for patients with acute cerebrovascular accident. At the same time, there are no generally accepted methods for assessing quality of life and neurocognitive functions that are sensitive to changes in the condition of patients with gliomas in the early postoperative period by the time of discharge from the hospital. As a result, there is no systematic information on the dynamics of the quality of life of such patients, their neurocognitive functioning. The purpose of this article was to study the literature on QOL and CF in patients affected by neurological and neurosurgical disorders for the further selection of optimal methods for assessing dynamics of the condition of patients with glial brain tumors before and after surgery. At the moment, such requirements are only partially met by the EORTC QLQ-C30 questionnaire and its application EORTC QLQ-BN20.

OSTEOPOROSIS AND RISK FACTORS IN THE PATIENTS ON CHRONIC HEMODIALYSIS

2015 ◽  
pp. 50-58
Author(s):  
Thi Dung Nguyen ◽  
Tam Vo
Keyword(s):  
Quality Of Life ◽  
Risk Factors ◽  
Bone Density ◽  
Region Of Interest ◽  
Cross Sectional Study ◽  
Chronic Hemodialysis ◽  
Cross Sectional ◽  
X Ray ◽  
Density Reduction

Background: The patients on hemodialysis have a significantly decreased quality of life. One of many problems which reduce the quality of life and increase the mortality in these patients is osteoporosis and osteoporosis associated fractures. Objectives: To assess the bone density of those on hemodialysis by dual energy X ray absorptiometry and to examine the risk factors of bone density reduction in these patients. Patients and Method: This is a cross-sectional study, including 93 patients on chronic hemodialysis at the department of Hemodialysis at Cho Ray Hospital. Results: Mean bone densities at the region of interest (ROI) neck, trochanter, Ward triangle, intertrochanter and total neck are 0.603 ± 0.105; 0.583 ± 0.121; 0.811 ± 0.166; 0.489 ± 0.146; 0.723 ± 0.138 g/cm2 respectively. The prevalences of osteoporosis at those ROI are 39.8%, 15.1%; 28%; 38.7%; and 26.9% respectively. The prevalences of osteopenia at those ROI are 54.8%; 46.3%; 60.2%; 45.2% and 62.7% respectively. The prevalence of osteopososis in at least one ROI is 52.7% and the prevalence of osteopenia in at least one ROI is 47.3%. There are relations between the bone density at the neck and the gender of the patient and the albuminemia. Bone density at the trochanter is influenced by gender, albuminemia, calcemia and phosphoremia. Bone density at the intertrochanter is affected by the gender. Bone density at the Ward triangle is influenced by age and albuminemia. Total neck bone density is influenced by gender, albuminemia and phosphoremia. Conclusion: Osteoporosis in patients on chronic hemodialysis is an issue that requires our attention. There are many interventionable risk factors of bone density decrease in these patients. Key words: Osteoporosis, DEXA, chronic renal failure, chronic hemodialysis

scholarly journals Potential of Beetroot and Blackcurrant Compounds to Improve Metabolic Syndrome Risk Factors

Metabolites ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 338
Author(s):  
Cameron Haswell ◽  
Ajmol Ali ◽  
Rachel Page ◽  
Roger Hurst ◽  
Kay Rutherfurd-Markwick
Keyword(s):  
Quality Of Life ◽  
Diabetes Mellitus ◽  
Risk Factors ◽  
Metabolic Syndrome ◽  
Metabolic Abnormalities ◽  
Dietary Nitrate ◽  
Increased Risk ◽  
High Concentrations

Metabolic syndrome (MetS) is a group of metabolic abnormalities, which together lead to increased risk of coronary heart disease (CHD) and type 2 diabetes mellitus (T2DM), as well as reduced quality of life. Dietary nitrate, betalains and anthocyanins may improve risk factors for MetS and reduce the risk of development of CHD and T2DM. Beetroot is a rich source of dietary nitrate, and anthocyanins are present in high concentrations in blackcurrants. This narrative review considers the efficacy of beetroot and blackcurrant compounds as potential agents to improve MetS risk factors, which could lead to decreased risk of CHD and T2DM. Further research is needed to establish the mechanisms through which these outcomes may occur, and chronic supplementation studies in humans may corroborate promising findings from animal models and acute human trials.

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