Health-related quality of life (HRQL) in immunodeficient adults with selective IgA deficiency compared with age- and gender-matched controls and identification of risk factors for poor HRQL

2013 ◽  
Vol 23 (2) ◽  
pp. 645-658 ◽  
Author(s):  
G. H. Jörgensen ◽  
A. Gardulf ◽  
M. I. Sigurdsson ◽  
S. Arnlaugsson ◽  
L. Hammarström ◽  
...  
2020 ◽  
Vol 32 (10) ◽  
pp. 2041-2047
Author(s):  
Anna K. Ojala ◽  
Harri Sintonen ◽  
Risto P. Roine ◽  
Timo E. Strandberg ◽  
Camilla Schalin-Jäntti

Abstract Background Cardiovascular disease (CVD) and thyroid dysfunction are common in older people, but little is known about how they affect health-related quality of life (HRQoL). Methods We assessed HRQoL with the 15D instrument in 329 home-dwelling patients aged ≥ 75 years with stable CVD and compared the results to those of an age- and gender-matched general population (n = 103). We also studied the impact of age, BMI, number of medications, thyroid-stimulating hormone (TSH) concentration, levothyroxine (L-T4) substitution and Mini-Mental State Examination (MMSE) on HRQoL. Results Overall HRQoL was impaired in older people with stable CVD (mean 15D score 0.777 vs 0.801, p = 0.001), and also on single dimensions of breathing, sleeping, discomfort and symptoms, distress, vitality (all p < 0.001), and depression (p = 0.016) compared to the age- and gender-matched general population. Furthermore, in the patients, L-T4 substitution associated with impaired sleeping (p = 0.018) and sexual activity (p = 0.030). Moreover, MMSE points, number of medications used, age (all p < 0.001) and BMI (p = 0.009) predicted impaired HRQoL. Conclusions Older people with stable CVD are characterized by impaired HRQoL compared to age- and gender-matched controls. We demonstrate that this is the consequence of impaired breathing, sleeping, discomfort and symptoms, distress, vitality, and depression. L-T4 substitution has a negative impact on HRQoL in old patients with stable CVD. MMSE score, number of medications, age and BMI predict worse HRQoL.


2020 ◽  
Vol 27 (09) ◽  
pp. 1976-1982
Author(s):  
Subhan Ullah ◽  
Zubash Aslam ◽  
Ghulam Abbas Shiekh

Objectives: To determine the risk factors of depressive disorders and health related quality of life among adult patients of depression presenting at psychiatric OPD clinic of Aziz Fatima Hospital Faisalabad. Study Design: Cross-sectional study. Setting: Psychiatric OPD clinic of Aziz Fatima Hospital Faisalabad Pakistan. Period: 1st August 2019 to 31st December 2019. Material & Method: 150 patients for the screening of depression Patient Health Questionnaire (PHQ) was used. For measuring health related quality of life World Health Organization Quality of Life (WHOQOL-Brief) was used. Results: It was found that out of 150 patients with depressive disorder 104(69.3%) were female and 46(30.7%) were male patients. Findings of the study assessed that depressive disorder not only impacts on the patients' mood but it also impairs the individuals overall perception of their general health, physical health, psychological wellbeing, social relationship and also distorted perception of their surrounding psychosocial environment. Conclusion: Depressive disorder is common in patients visiting psychiatric OPD clinic and findings of study suggested that age, education level, socio-economic status, death of parent at early age, unemployment, workplace issues, parental separation, loss of partner and family history of depression are important demographic variables which plays the role of significant risk factor for depression and impairs the quality of life among depressive patients.


2020 ◽  
Author(s):  
Ana Stefancic ◽  
Nathaniel Lu ◽  
Xiaoyan Wang ◽  
Lauren Bochicchio ◽  
Christopher Weatherly ◽  
...  

Abstract Background: Given indications of widening disparities in mortality for people with serious mental illness, understanding and reducing their risk of cardiovascular disease (CVD) and improving health-related quality of life is an urgent public health priority. This study examined CVD risk factor clustering, health-related quality of life (HRQoL), and their correlates among people with SMI who were overweight/obese (i.e., BMI ≥ 25) and living in supportive housing. Methods: Baseline data were used from participants enrolled in a clinical trial examining the effectiveness of a peer-led healthy lifestyle program. univariate analyses were used to describe the distribution of individual risk factors and the cumulative number of CVD risk factors. Bivariate and regression analyses were used to explore correlates of individual CVD risk factors, the cumulative number of risk factors, and HRQoL Physical and Mental Health Composite Scores. Results: Participants were 48.7 years old, on average (sd = 11.6) and the majority identified as male (57.3%) and as racial/ethnic minorities (82%; primarily non-Hispanic black). Most participants (75.4%) had at least two co-occurring CVD risk factors and almost half (46.7%) had three or more, most commonly obesity, smoking, and hypertension. Prevalence of individual risk factors, particularly smoking and diabetes, varied by demographic and clinical characteristics. Identifying as female, older age, and taking second generation antipsychotic medication were associated with having more co-occurring CVD risk factors, while having completed high school was associated with fewer risks. Number of co-occurring CVD risk factors, identifying as female, and greater psychiatric symptoms were negatively associated with physical HRQoL. Older age, lower psychiatric symptoms, and greater internal locus of control were positively associated with mental HRQoL.Conclusion: Even when compared to other studies examining CVD risk among individuals diagnosed with schizophrenia, our study sample generally had higher rates of clustering of multiple risk factors, highlighting the need for urgent intervention among those living in supportive housing. Demographic and clinical factors further identify those who may have the highest risk as well as factors that may adversely affect perceived health status and functioning. Reducing CVD risk and improving HRQoL will likely require expanding access to quality care, adapting intervention approaches to subpopulations, and providing increased support to facilitate health behavior change and perceived control for modifiable risk factors.Trial Registration: This trial was registered through ClinicalTrials.gov on June 26, 2014. The registration number is NCT02175641.


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