Relationship between a single quality-of-life question score and Graded Symptom Checklist score in 350 people with a diagnosed concussion: A chart review study

Neurology ◽  
2020 ◽  
Vol 95 (20 Supplement 1) ◽  
pp. S8.3-S9
Author(s):  
Kenneth Jay ◽  
Derek Barton ◽  
Matthew Michael Antonucci
Keyword(s):  
Quality Of Life ◽  
Regression Analysis ◽  
Chart Review ◽  
Linear Regression Analysis ◽  
Outpatient Rehabilitation ◽  
Symptom Checklist ◽  
Long Distance ◽  
Persistent Symptoms ◽  
Single Question

ObjectiveThe objective of the study was to analyze the relationship between a single question on quality of life and composite Graded Symptom Checklist (GSC) score in a population of 350 individuals diagnosed with a concussion seeking treatment at an outpatient neurorehabilitation center.BackgroundWhile the majority of people subjected to a concussion recover within the first two weeks of injury, up to 30% experience persistent symptoms lasting for months. Symptoms of concussion include dizziness, fatigue, and balance problems. These symptoms may have consequences that affect the quality of life of the individual.Design/MethodsFrom July 2016 to April 2020, 350 individuals diagnosed with a concussion sought treatment an outpatient rehabilitation center. Questionnaire-based symptom severity using the GSC was collected. Additionally, answers to a single question on “quality of life” on a modified Visual Analog Scale (0–100) were also collected. A linear regression analysis was performed between quality of life score and GSC composite score in Graphpad PRISM v. 8.4.3. Results are reported as R2-value, slope and y-intercept (95% confidence intervals) and an alpha level of 0.05 was considered statistically significant (slope different from 0).ResultsThe regression analysis showed a significant negative relationship with an R2-value of 0.26 between quality of life and GSC score (p < 0.0001) representing a weak effect size. The regression equation slope and y-intercept were −0.6385 (95% CI: −0.7516 to −0.5254) and 89.15 (95% CI: 83.15 to 95.16), respectively.ConclusionsThe present study showed a significant, albeit weak, relationship between quality of life and GSC score. Short questions that provide meaningful insight into the wellbeing of the patient allow for long distance progress monitoring and follow-up consultations. More studies are needed to establish exactly what questions provide the best possible information as the present study is limited by its retrospective design using chart review data.

scholarly journals What’s going on following acute covid-19? Clinical characteristics of patients in an out-patient rehabilitation program

2021 ◽  
pp. 1-12
Author(s):  
Sergiu Albu ◽  
Nicolas Rivas Zozaya ◽  
Narda Murillo ◽  
Alberto Garcia-Molina ◽  
Cristian Andres Figueroa Chacón ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Cognitive Impairment ◽  
Acute Infection ◽  
Rehabilitation Program ◽  
Neuropsychological Impairment ◽  
Outpatient Rehabilitation ◽  
Screening Process ◽  
Icu Patients ◽  
Persistent Symptoms

BACKGROUND: Coronavirus disease 2019 (COVID-19) patients present long-lasting physical and neuropsychological impairment, which may require rehabilitation. OBJECTIVES: The current cross-sectional study characterizes post COVID-19 sequelae and persistent symptoms in patients in an outpatient rehabilitation program. METHODS: Thirty patients [16 post-ICU and 14 non-ICU; median age = 54(43.8–62) years; 19 men] presenting sequelae and/or persistent symptoms (>3 months after acute COVID-19) were selected of 41 patients referred for neurorehabilitation. Patients underwent physical, neuropsychological and respiratory evaluation and assessment of impact of fatigue and quality of life. RESULTS: The main reasons for referral to rehabilitation were: fatigue (86.6%), dyspnea (66.7%), subjective cognitive impairment (46.7%) and neurological sequelae (33.3%). Post-ICU patient presented sequelae of critical illness myopathy and polyneuropathy, stroke and encephalopathy and lower forced vital capacity compared to non-ICU patients. Cognitive impairment was found in 63.3% of patients, with a similar profile in both sub-groups. Increased physical fatigue, anxiety and depression and low quality of life were prevalent irrespective of acute COVID-19 severity. CONCLUSIONS: The variability of post COVID-19 physical and neuropsychological impairment requires a complex screening process both in ICU and non-ICU patients. The high impact of persistent symptoms on daily life activities and quality of life, regardless of acute infection severity, indicate need for rehabilitation.

Study time, glasses utilization and age affect quality of life among senior first-year Chinese myopia students

2021 ◽  
pp. 112067212098252
Author(s):  
Ziqian Zhu ◽  
Yan He ◽  
Jiezheng Yang ◽  
Qiaoli Li ◽  
HuanHuan Cheng ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Risk Factors ◽  
Regression Analysis ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Study Time ◽  
First Year ◽  
Normal Vision ◽  
First Year Students

Purpose: To compare the quality of life of senior first-year students with normal vision and myopia, and to explore the risk factors related to quality of life in students with myopia. Methods: In this study, 1103 senior first-year students were enrolled in ten high schools. These students were divided according to the diopter degree, with 916 myopia students and 187 normal vision students. Visual function indexes, such as naked eye vision, were measured and recorded, and social demographic indexes and the National Eye Institute 25-Item Visual Function Questionnaire (NEI VFQ-25) was used. The differences in quality of life between the two groups were compared. Multiple linear regression analysis was used to explore the possible risk factors for quality of life in myopia students. Results: In the NEI VFQ-25, the total quality of life scores of myopia students (77.06 ± 15.66) were lower than those of normal vision students (85.49 ± 12.37). The difference was statistically significant ( p = 0.007). In the correlation analysis, the total scores of quality of life in myopia students were positively correlated with wearing glasses ( p = 0.049), and were negatively correlated with study time ( p = 0.029). Multiple linear regression analysis showed that study time, wearing glasses and age were risk factors affecting quality of life in myopia students. Conclusion: Our results show that senior first-year myopia students have lower quality of life scores than students with normal vision. Study time, wearing glasses and age are risk factors for quality of life in senior first-year myopia students.

Determinants of health-related quality of life in colon cancer patients include stoma and smoking habits, but not type of surgery

2019 ◽  
Author(s):  
Catarina Tiselius ◽  
Andreas Rosenblad ◽  
Eva Strand ◽  
Kennet Smedh
Keyword(s):  
Quality Of Life ◽  
Colon Cancer ◽  
Regression Analysis ◽  
Cancer Patients ◽  
Linear Regression Analysis ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related

Abstract Background: Health-related quality of life (HRQoL) has gained increased attention in cancer care. Studies have shown that poor QoL might worsen the cancer related prognosis. The aim of this study was to investigate HRQoL in patients with colon cancer and to compare data with reference values from the general population in Sweden at diagnosis (baseline) and at six months of follow-up. Methods : This was a prospective population-based study of colon cancer patients from Västmanland County, Sweden, included between March 2012 and September 2016. HRQoL was measured using the cancer-specific EORTC QLQ-C30 questionnaire. Data on HRQoL was compared with Swedish population reference values. Multiple linear regression analysis adjusted for age, sex, body mass index (BMI), American Society of Anaesthesiology (ASA) physical status classification, emergency/elective surgery, and resection with/without a stoma and tumour stage (TNM), was used. Results : A total of 67% (376/561) of all incident colon cancer patients (196 [52.1%] females) were included. Mean (range) age was 73 (30-96) years. The univariate analysis showed that patients with colon cancer had worse QoL (8/15 parameters) compared with a Swedish reference population both at baseline and at 6 months follow-up. Furthermore, linear regression analysis showed that patients with more comorbidity (ASA 3 and 4), smokers and patients planned to be operated on with a stoma, were at higher risks for poor QoL than the other included patients. Conclusions : The reported determinants of HRQoL may be used to identify risk groups and enable individualized care for patients that need more support from health care.

scholarly journals The Relationship of Functional Status of Cortisol, Testosterone, and Parameters of Metabolic Syndrome in Male Schizophrenics

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Yi Han ◽  
Haifeng Ji ◽  
Li Liu ◽  
Yuncheng Zhu ◽  
Xixi Jiang
Keyword(s):  
Quality Of Life ◽  
Metabolic Syndrome ◽  
Regression Analysis ◽  
Correlation Analysis ◽  
Testosterone Level ◽  
Linear Regression Analysis ◽  
Fasting Blood Glucose ◽  
Metabolic Indices ◽  
The Relationship

Background. The cross-sectional study is aimed at investigating the relationship between cortisol, testosterone, and metabolic characteristics among male schizophrenics. Methods. 174 patients were grouped based on their risk of metabolic syndrome (MetS) into the non-MetS, high-risk-MetS (HR-MetS), or MetS groups. Metabolic indices (body mass index (BMI), mean arterial pressure (MAP), cholesterol, triglyceride, and fasting blood glucose (FBG)) were associated with cortisol and testosterone levels using correlation analysis. Multiple linear regression analysis was used to associate the correlations between the WHO Quality of Life–BREF (WHOQOL–BREF) score and the five metabolic indices. Results. The WHOQOL–BREF score for the non-MetS group significantly differed from the scores of the HR-MetS and MetS groups. The triglyceride level was positively correlated with the cortisol level, while all five metabolic indices were negatively correlated with testosterone level. Stepwise regression analysis produced a model predicting WHOQOL–BREF scores with four variables including MAP, intelligence quotient (IQ), FBG, and age. The correlation analysis then showed that there was a weak linear correlation between the testosterone level and all five metabolic indices. Conclusions. Among the five metabolic indices, the risks of hypertension and hyperglycemia are correlated with the quality of life in male schizophrenics rather than those of obesity or hyperlipidemia.

Predictors of problematic Internet use in school going adolescents of Bhavnagar, India

2019 ◽  
Vol 65 (2) ◽  
pp. 151-157 ◽  
Author(s):  
Sneha B Vadher ◽  
Bharat N Panchal ◽  
Ashok U Vala ◽  
Imran J Ratnani ◽  
Kinjal J Vasava ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Regression Analysis ◽  
Linear Regression ◽  
Sleep Quality ◽  
Internet Use ◽  
Linear Regression Analysis ◽  
Poor Quality ◽  
Problematic Internet Use ◽  
Quality Of Sleep

Background: Problematic Internet use (PIU) is the inability of individuals to control their Internet use, resulting in marked distress and/or functional impairment in daily life. Aim/Objective: We assessed the frequency of PIU and predictors of PIU, including social anxiety disorder (SAD), quality of sleep, quality of life and Internet-related demographic variables among school going adolescents. Methods: This was an observational, single-centered, cross-sectional, questionnaire-based study of 1,312 school going adolescents studying in Grades 10, 11 and 12 in Bhavnagar, India. Every participant was assessed by a pro forma containing demographic details, questionnaires of Internet Addiction Test (IAT), Social Phobia Inventory (SPIN), Pittsburgh Sleep Quality Index (PSQI) and Satisfaction With Life Scale (SWLS) for PIU severity, SAD severity, Quality of Sleep assessment and Quality of Life assessment, respectively. The statistical analysis was done with SPSS Version 23 (IBM Corporation) using chi-square test, Student’s t test and Pearson’s correlation. Multiple linear regression analysis was applied to find the predictors of PIU. Results: We found frequency of PIUs as 16.7% and Internet addiction as 3.0% among school going adolescents. Participants with PIU are more likely to experience SAD ( p < .0001), poor quality of sleep ( p < .0001) and poor quality of life ( p < .0001). There is positive correlation between severity of PIU and SAD ( r = .411, p < .0001). Linear regression analysis shows PIU can be predicted by SAD, sleep quality, quality of life, English medium, male gender, total duration of Internet use, monthly cost of Internet use, education, social networking, gaming, online shopping and entertainment as purpose of Internet use. Conclusion: Participants with PIU are more likely to experience SAD, poor quality of sleep and poor quality of life.

scholarly journals Nutritional status and quality of life in diabetic patients on hemodialysis: a cross-sectional study from Palestine

2021 ◽  
Vol 40 (1) ◽  
Author(s):  
Eba’a Hafi ◽  
Ro’ya Soradi ◽  
Sarah Diab ◽  
Ahmad M. Samara ◽  
Marah Shakhshir ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Regression Analysis ◽  
Linear Regression ◽  
Nutritional Status ◽  
Linear Regression Analysis ◽  
Cross Sectional Study ◽  
Diabetic Patients ◽  
Sectional Study ◽  
Cross Sectional

Abstract Background End-stage renal disease (ESRD) is a leading cause of death and morbidity worldwide. Malnutrition is a common problem among hemodialysis (HD) patients that negatively impacts their prognosis and is linked to an increase in morbidity and mortality in these patients, as well as a decrease in their quality of life (QOL). In this study, we aimed to evaluate the QOL and to investigate factors that can influence it, including nutritional status, as well as socio-demographic factors, among Palestinian diabetic patients on HD therapy. Methods This was a cross-sectional study that occurred at a large hemodialysis center in Palestine. Malnutrition was assessed by the malnutrition-inflammation scale (MIS), and the quality of life was evaluated by using the EuroQoL five-dimensional instrument (EQ-5D). Multivariable linear regression analysis was carried out to look at the effect of multiple variables on QOL. Results A total of 118 diabetic patients on HD were included. Of these, 66.9% were male, and 60.2% were aged 60 years or higher. Having multiple comorbid diseases (p=0.004) and having been on HD for >4 years (p=0.003) were significantly associated with a higher MIS score, whereas living alone (p=0.037) and having been on HD for >4 years (p=0.002) was significantly associated with lower EQ-5D score. We also observed a significant association between the MIS score and the EQ-5D score(r=−0.616, p<0.001). Multiple linear regression analysis demonstrated that diabetic hemodialysis patients who lived within a family household were positively correlated with the QOL score (standardized coefficient, 0.178; 95% confidence interval (CI), 0.042 to 0.372; p = 0.015), and MIS score was significantly and negatively correlated with QOL scores (standardized coefficient, −0.587; 95% CI, −0.047 to −0.028; p < 0.001). Conclusions We found that malnutrition was associated with a lower QOL score among diabetic patients on HD. We recommend general practitioners, dietitians, nephrologists, and nurses to make plans that pay more attention to this group of patients who show evidence of malnutrition. Patients on dialysis for ≥ 4 years, patients who live alone, and those suffering from multiple co-morbid diseases should receive special care due to their higher risk of being impacted by this problem.

scholarly journals Developing the Patient Health Questionnaire-8 for a greater impact on the quality of life of patients with functional dyspepsia compared to Somatic Symptom Scale-8

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Chaoqun Yuan ◽  
Guizhen Yong ◽  
Xi Wang ◽  
Ting Xie ◽  
Chunyan Wang ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Regression Analysis ◽  
Somatic Symptom ◽  
Linear Regression Analysis ◽  
Reliability And Validity ◽  
Health Questionnaire ◽  
Symptom Scale ◽  
Patient Health ◽  
Scale 8

Abstract Background To develop the Patient Health Questionnaire-8 (PHQ-8) as a more reliable approach than the Somatic Symptom Scale-8 (SSS-8), evaluating somatization which might be a critical factor influencing the quality of life (QoL) in patients with functional dyspepsia (FD). Also, the effects of somatization on QoL of FD patients were assessed by these two approaches. Methods Herein, 612 FD patients completed a questionnaire involving 25 items. 8/25 items were selected to develop the PHQ-8 by four methods of discrete degree, correlation coefficient, factor analysis, and Cronbach’s α coefficient. Reliability and validity of the PHQ-8 and the SSS-8 were compared by principal component and confirmatory factor analyses. The effects of somatization, depression, and anxiety on the Nepean Dyspepsia Index (NDI) for QoL were explored by Pearson’s correlation coefficient and linear regression analysis. Results The Cronbach’s α coefficient for the PHQ-8 and the SSS-8 was 0.601 and 0.553, respectively, and the cumulative contribution rate of three extracted factors for the developed PHQ-8 and SSS-8 was 55.103% and 51.666%, respectively. Somatization evaluated by the PHQ-8 (r = 0.309, P < 0.001) and the SSS-8 (r = 0.281, P < 0.001) was found to be correlated to NDI. The model used for the PHQ-8 showed that the values of goodness-of-fit index (GFI) and adjusted GFI (AGFI) were 0.984 and 0.967, respectively, which indicated that the model fitted well. Linear regression analysis unveiled that somatization (β = 0.270, P < 0.001), anxiety (β = 0.163, P < 0.001), and depression (β = 0.136, P = 0.003) assessed by the PHQ-8 were correlated to NDI. In addition, somatization (β = 0.250, P < 0.001), anxiety (β = 0.156, P < 0.001), and depression (β = 0.155, P = 0.001) evaluated by the SSS-8 were correlated to NDI. Conclusions PHQ-8 showed a superior reliability and validity, and somatization assessed by the developed PHQ-8 showed a greater influence on the QoL of FD patients as compared to the SSS-8. Our findings suggested that the developed PHQ-8 may show improvement in a reliable assessment of the effects of somatization on FD patients in lieu of the SSS-8.

scholarly journals The Combined Effects of Patient Activation and Relational Aspects on the Quality of Life in Atrial Fibrillation Patients

2021 ◽  
Vol 12 ◽  
Author(s):  
Jie Wang ◽  
Qin Wang ◽  
Zhipeng Bao ◽  
Yuanyuan Peng ◽  
Shenxinyu Liu ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Atrial Fibrillation ◽  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Patient Activation ◽  
Multiple Linear Regression Analysis ◽  
Daily Activities

Objective: This study aims to explore the influence of patient activation (PA) and relational aspects on the quality of life (QoL) in patients with Atrial Fibrillation (AF) for developing measures to improve PA and QoL.Methods: A cross-sectional study was undertaken in 2021 among 190 AF patients in Nanjing, China. Research instruments included a self-designed social-demographic characteristics scale, the Patient Activation Measure (PAM), the Atrial Fibrillation Effect on Quality of Life (AFEQT). The data analysis was performed using IBM SPSS 25.0. Spearman correlation analysis, multiple linear regression analysis, and Wilcoxon rank-sum tests were used to assess the association accordingly.Results: The average AFEQT score for the 190 AF patients was 69.32 ± 14.52. The distribution of activation Levels 1, 2, 3, and 4, were where 4.7, 34.2, 47.4, and 13.7%, respectively. The multiple linear regression analysis revealed that patient activation, work status, and cardiac rehabilitation of AF patients predicted AF-related QoL (β = 0.270, −0.205, and 0.183, respectively; all P &lt; 0.05). The influences of PA level on subdimensions of AF-related QoL were as follows: symptoms, daily activities and treatment concern.Conclusion: The level of QoL of patients with AF was moderate. Higher levels of patient activation in those with AF were associated with milder symptoms, more positive daily activities and fewer treatment concern. Based on our findings, we suggest that healthcare personnel should encourage AF patients to take active participation in cardiac rehabilitation, disease self-management and foster progression of PA level. Future research is warranted to develop tailor-made interventions aimed at the activation level.

scholarly journals Adherence to COVID-19 Preventive Measures among Dental Care Workers in Vietnam: An Online Cross-Sectional Survey

2022 ◽  
Vol 19 (1) ◽  
pp. 481
Author(s):  
Tai Tan Tran ◽  
Thang Van Vo ◽  
Tuyen Dinh Hoang ◽  
Minh Vu Hoang ◽  
Nhu Thi Quynh Tran ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Regression Analysis ◽  
Dental Care ◽  
Preventive Measures ◽  
Linear Regression Analysis ◽  
Multivariate Linear Regression Analysis ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Care Workers

An online cross-sectional survey using a “snowball” sampling method was carried out to assess the adherence to COVID-19 preventive measures among dental care workers (DCWs) during the pandemic. Six questions concerning the COVID-19 preventive guidelines issued by the Vietnam Ministry of Health were used to evaluate DCWs’ adherence to preventive measures at dental care clinics. The quality of life of DCWs was assessed using the WHO-5 questionnaire and was defined as low if the total score was less than 13 points. Factors relating to adherence to COVID-19 prevention measures of DCWs were determined by multivariate linear regression analysis. In total, 514 DCWs completed the questionnaire. A total of 37% DCWs rated their quality of life as low. Regression analysis suggested that older age, a better quality of life, living in an urban area, and training on COVID-19 prevention were associated with better adherence to COVID-19 preventive measures, while being a dentist and lack of personal protective equipment was associated with less adherence to COVID-19 preventive measures. The pandemic had a significant negative impact on the physical and mental health of DCWs. Therefore, specific national guidelines for the prevention and control of the spread of COVID-19 in dental facilities should be issued.

scholarly journals The Developed Patient Healthy Questionnaire-8 with a Greater Impact on Quality of Life Compared with the Somatic Symptom Scale-8 in Functional Dyspepsia

2020 ◽  
Author(s):  
Chaoqun Yuan ◽  
Guizhen Yong ◽  
Xi Wang ◽  
Ting Xie ◽  
Chunyan Wang ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Factor Analysis ◽  
Regression Analysis ◽  
Linear Regression ◽  
Somatic Symptom ◽  
Linear Regression Analysis ◽  
Reliability And Validity ◽  
Symptom Scale ◽  
Scale 8

Abstract Background: To adapt insufficiencies of the Somatic Symptom Scale-8 (SSS-8) measuring somatization in functional dyspepsia (FD) to develop PHQ-8, of which reliability, validity and the effects of somatization evaluated by the developed PHQ-8 on quality of life (QoL) were further assessed.Methods: 612 FD patients completed a 25 items questionnaire. 8 items were selected from 25 items to constitute the PHQ-8 by discrete degree, correlation coefficient, factor analysis and Cronbach coefficient four methods. Reliability and validity for the PHQ-8 and the SSS-8 were compared by principal component and confirmatory factor analysis. The effects of somatization, depression and anxiety on the Nepean Dyspepsia Index (NDI) for QoL were explored by Pearson correlation coefficient and linear regression analysis.Results: Cronbach’s α coefficients for the PHQ-8 and the SSS-8 were 0.601, 0.553, and cumulative contribution rates of three extracted factors were 55.103%, 51.666%, respectively. Somatization evaluated by the PHQ-8(r=0.309, P<0.001) and the SSS-8 (r=0.281, P<0.001) were related to the NDI. The model for the PHQ-8 showed χ2=31.247, RMR=0.01, RMSEA=0.042, GFI=0.984. Linear regression analysis showed that somatization measured by the PHQ-8 (β=0.270, P<0.001), anxiety (β=0.163, P<0.001) and depression (β=0.136, P=0.003) were determinants of the NDI; somatization measured by the SSS-8 (β=0.250, P<0.001), anxiety (β=0.156, P<0.001) and depression (β=0.155, P =0.001) were determinants of the NDI.Conclusions: The developed PHQ-8 had a better reliability and validity, which assessing somatization appeared to have a greater impact on QoL than that of the SSS-8. These results suggested that the developed PHQ-8 might improve to study the effects of somatization on QoL instead of the SSS-8 in specific FD patients.

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