scholarly journals Anxiety, depression and quality of life in mothers of intellectually disabled children

2018 ◽  
Vol 6 (2) ◽  
pp. 28-35
Author(s):  
N Sapkota ◽  
A K Pandey ◽  
BK Deo ◽  
MK Shrivastava

Introduction: Studies have shown that there is an association between Anxiety, Depression in mothers of children having Intellectual disability with poor quality of life (QOL) in mothers of such children. This study was carried with the objectives to describe the clinico-socio-demographic profile of mothers of intellectually disabled children and to investigate the relationship among anxiety and depression with quality of life in mothers with intellectually disabled children.Material And Method: Mothers (N=31), whose children's IQ score was below 70, were enrolled in to the study with their informed consent. Depression and Anxiety disorders were diagnosed as per ICD 10. Severity of depression was measured with BDI and Anxiety symptoms with STAI. WHOQOL-BREF was used to assess Quality of life. The relationship among anxiety, depression and QOL were analysed using diagonal matrix, ANOVA and Pearson correlation test.Results: The mean age of participants was 50.23 (S.D= 6.11), BDI score was 13.65(S.D= 11.301), STAI score was 53.90 (SD= 15.821), WHOQOL- BREF in all four domains was 290.90 (S.D=49.42). There was significant correlation between BDI and STAI (P=0.01, r:0.651 ) and the three domains of WHOQOL- BREF(P=0.01, r:0.821, 0.843, 0.635 respectively) scale except Environment domain. Among the participants, 48.4% (ICD 10) had depression of varying degree along with 54.8% depression as per BDI cut off score. Anxiety disorder was seen in 22.6% as per ICD 10 but as per STAI it was 53.90(SD=15.821) which was statistically significant (p:0.01, r: -0.507). Depression when compared with no diagnosis persons has poor quality of life in WHOQOL-BREF physical domain (p:0.002) but with compared to Anxiety or both it was not statistically significant.Conclusion: The findings of this study revealed that mothers of children having Intellectual disability have high level of Anxiety and Depression which indeed had impact in quality of life. J Psychiatrists’ Association of Nepal Vol. 6, No. 2, 2017 Page: 28-35

Author(s):  
Karthikayini Sasinthar ◽  
Abhijit V. Boratne ◽  
Arun Sugumaran ◽  
Raj Kumar Patil

To identify currently available measures of Health-related quality of life (HRQOL) for intellectually disabled children and to describe their content. A comprehensive retrieval of the English literature from 2001 to 2021 was done in the PubMed and Google Scholar. The terms ‘Intellectual disability’, ‘Differently abled’, ‘Special children’, ‘Differently challenged’, ‘Mental retardation’, ‘Health-related quality of life’, ‘Quality of life’, ‘Burden of intellectual disability’ and ‘India’ were used to identify measures of HRQOL for children’s with intellectual disability. Several tools were identified to measure HRQOL for children with intellectual disability. Many have parent proxy as well as self-report form with good validity and reliability. Though, they were often developed with minimal involvement from families, focus on functioning rather than wellbeing, and have items that sometimes may cause emotional upset. When children with different health problems are compared, the degree of their particular health condition should be measured. Furthermore, overlap of items seems not to be a problem when the HRQOL of children with intellectually disability is studied. Hence, HRQOL assessments are useful for collecting information beyond the clinical symptoms of a health problem thus improving quality of care.


2016 ◽  
Vol 33 (10) ◽  
pp. 942-947 ◽  
Author(s):  
Alex Rua Rodrigues ◽  
Damila Cristina Trufelli ◽  
Fernando Fonseca ◽  
Larissa Carvalho de Paula ◽  
Auro del Giglio

Purpose: To assess which laboratory and clinical factors are associated with fatigue in patients with terminal cancer. Methods: We evaluated 51 patients with advanced incurable solid tumors using the Chalder Fatigue Questionnaire (CFQ) and the Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-F) scale for fatigue; the Pittsburgh Sleep Quality Index (PSQI-BR) for sleep quality; the Hospital Anxiety and Depression Scale (HADS) for anxiety and depression; the European Organization for Research and Treatment of Cancer (EORTC) Core Quality of Life Questionnaire, Version 3.0 (QLQ C-30); and Functional Assessment of Cancer Therapy (FACT) for quality of life. We also analyzed several inflammatory markers and the modified Glasgow prognostic score (mGPS). Results: We observed severe fatigue in 19 (38%) patients (FACIT-F score >36). There was a significant correlation between fatigue as evaluated by the CFQ and quality of sleep and between the CFQ mental fatigue subscale scores and TNF-α level. When fatigue was evaluated using the FACIT-F scale, we observed a significant association between fatigue and anxiety/depression, quality of sleep, mGPS, and hemoglobin levels. Fatigue measured both with the CFQ and FACIT-F scale correlated with poor quality of life according to the EORTC QLQ C-30. Conclusion: In patients with advanced cancer, fatigue is a common symptom associated with the presence of inflammation, poor quality of sleep, depression/anxiety, and poor quality of life.


BMJ Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. e041947
Author(s):  
Pamela G Mckay ◽  
Helen Walker ◽  
Colin R Martin ◽  
Mick Fleming

ObjectiveTo explore the relationship between symptoms of chronic fatigue syndrome (CFS)/myalgic encephalomyelitis (ME) and fibromyalgia (FM). The hypothesis predicated that there would be no significant differences between the group’s symptom experience.DesignA quasiexperimental design. Structural equation modelling (SEM) and invariance testing.ParticipantsMales (M) and females (F) >16 with a confirmed diagnosis of CFS/ME or FM by a general practitioner or specialist. CFS/ME (n=101, F: n=86, M: n=15, mean (M) age M=45.5 years). FM (n=107, F: n=95, M: n=12, M=47.2 years).Outcome measuresDiagnostic criteria: the American Centers for Disease Control and Prevention (CDC) for CFS/ME and the American College of Rheumatology (ACR) criteria for FM. Additional symptom questionnaires measuring: pain, sleep quality, fatigue, quality of life, anxiety and depression, locus of control and self-esteem.ResultsInvariance was confirmed with the exception of the American CDC Symptom Inventory, Fibromyalgia Impact Questionnaire and Hospital Anxiety and Depression Scale (p<0.05) based on five questions. Consequently, it was erroneous to conclude differences. Therefore, the Syndrome Model was created. SEM could not have tested the ACR previously, as it comprised a single data point. Thus, it was combined with these three questionnaires, increasing the data points, to create this new measurable model. Results confirmed no significant differences between groups (p=0.07 (p<0.05)).ConclusionParticipants responded in a similar manner to the questionnaire, confirming the same symptom experience. It is important to consider this in context with differing criteria and management guidelines, as this may influence diagnosis and the trajectory of patient’s management. With the biomedical cause currently unclear, it is the symptom experience and the impact on quality of life that is important. These findings are meaningful for patients, clinicians and policy development and support the requirement for future research.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
P. Irimia ◽  
M. Garrido-Cumbrera ◽  
S. Santos-Lasaosa ◽  
M. Aguirre-Vazquez ◽  
J. Correa-Fernández ◽  
...  

AbstractIdentifying highly disabled patients or at high risk of psychiatric comorbidity is crucial for migraine management. The burden of migraine increases with headache frequency, but the number of headache days (HDs) per month after which disability becomes severe or the risk of anxiety and depression is higher has not been established. Here, we estimate the number of HDs per month after which migraine is associated with higher risk of anxiety and depression, severe disability and lower quality of life. We analysed 468 migraine patients (mean age 36.8 ± 10.7; 90.2% female), of whom 38.5% had ≥ 15 HDs per month. Our results show a positive linear correlation between the number of HDs per month and the risk of anxiety (r = 0.273; p < 0.001), depression (r = 0.337; p < 0.001) and severe disability (r = 0.519; p < 0.001). The risk of anxiety is higher in patients having ≥ 3HDs per month, and those with ≥ 19HDs per month are at risk of depression. Moreover, patients suffering ≥ 10HDs per month have very severe disability. Our results suggest that migraine patients with ≥ 10HDs per month are very disabled and also that those with ≥ 3HDs per month should be screened for anxiety.


2020 ◽  
Vol 2 (3) ◽  
pp. 14
Author(s):  
Fatima I. AlNashri ◽  
Hayfa H. Almutary ◽  
Elham A. Al Nagshabandi

Context: Chronic kidney disease (CKD) is a life-threatening problem of global concern. Living with CKD is associated with many psychological problems, including depression and anxiety, which can directly or indirectly affect the quality of life. Only one review in the existing literature has assessed these associations among CKD patients using different dialysis modalities. However, the experience of these symptoms could be higher among patients on hemodialysis therapy. In this purview, there is a need to narrow the previous work to be more focused on hemodialysis patients. Aim: This scoping review aims to determine the gaps in the knowledge about the impact of anxiety and depression concerning QOL among people undergoing hemodialysis. Methods: The studies selected were those examined the relationships between depression or/and anxiety with quality of life in adult patients on hemodialysis. The CINAHL, MEDLINE, and Pub Med databases were searched for literature published between January 2012 and December 2019. The quality of the included studies was also apprised. Eleven studies met the inclusion criteria. Results: Six studies examined the impact of depression and anxiety on the quality of life. Five studies identified from the review have examined the relationships between depression and quality of life. It was established that the prevalence of anxiety and depression was high among hemodialysis patients, and the same was associated with low quality of life. Conclusion: The literature review highlights the negative associations between anxiety, depression, and quality of life among hemodialysis patients. It is, therefore, essential to screen hemodialysis patients frequently for anxiety and depression using a short-form questionnaire. This screening would allow for providing early interventions, and the potential deterioration of quality of life could be prevented. Further longitudinal studies are needed to assess these relationships. Additionally, further research is needed to determine effective interventional programs to improve the overall quality of life.


Cephalalgia ◽  
2014 ◽  
Vol 35 (8) ◽  
pp. 683-691 ◽  
Author(s):  
Marian Gómez-Beldarrain ◽  
Ane Anton-Ladislao ◽  
Urko Aguirre-Larracoechea ◽  
Isabel Oroz ◽  
Juan Carlos García-Moncó

Objective The objective of this article is to test the hypothesis that cognitive reserve (CR) is related to migraine chronification, medication overuse and poor quality of life in migraineurs. Design/methods A cross-sectional study on patients with chronic migraine with medication overuse (CM-MOH), episodic migraine (EM), and controls, matched by sex, age and education, was carried out. CR was assessed by a specific questionnaire, and quality of life was measured by general and specific questionnaires (SF-36 and MSQoL). Migraine Disability Assessment Scale and Beck questionnaires for depression and anxiety were used. Medication dependence was evaluated by the medication-dependence questionnaire in headache (MDQ-H). Results Fifty-five individuals were enrolled: 18 CM-MOH patients (32.73%), 22 EM patients (40%) and 15 controls (27.27%). Fifty (90.91%) of them were females and aged 43.53 (7.54) years. Univariate analysis showed a significant association between the study group and CR, and all items of the SF-36, anxiety and depression questionnaires, MSQoL and MDQ-H. The lower CR and CM-MOH group were related to a worse quality of life, more anxiety and depression and the highest medication dependence scores. Multivariate analysis showed that higher CR scores were related to higher quality of life as measured by the physical and mental composite scores of the SF-36, and to lower anxiety (beta = −1.08, p = 0.001) and depression (beta = −0.56, p = 0.03) levels. Focusing on MSQoL, the increase in CR was predictive of a better quality of life (beta = 1.88, p < 0.0001). By all the models, the explained variance of the sample ranged from 39% (mental composite score) to 58% (MSQoL). Conclusions Low CR appears to be an independent factor associated with the deterioration of quality of life, the presence of anxiety and depression, and drug dependence and medication overuse in CM-MOH.


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