scholarly journals SAT0625-HPR FATIGUE AND CONTRIBUTING FACTORS IN CHINESE PATIENTS WITH ANKYLOSING SPONDYLITIS

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1272.2-1272
Author(s):  
W. Zhou ◽  
J. Guo ◽  
R. Zhao ◽  
C. Dong ◽  
Z. Gu
Keyword(s):  
Quality Of Life ◽  
Logistic Regression ◽  
Ankylosing Spondylitis ◽  
Sleep Quality ◽  
Binary Logistic Regression ◽  
The Self ◽  
Chinese Patients ◽  
Self Rating ◽  
Chi Square Analysis

Background:Ankylosing spondylitis (AS) is a systemic chronic inflammatory disease, which most likely occurs in young men. It mainly affects sacroiliac joints, axial skeleton, thoracic cage and seriously decreasing quality of life in AS patients[1,2]. In recent years, fatigue of AS patients has been paid more and more attention[3]. Fatigue is a complex feeling, diseased individuals describe fatigue as a sense of tiredness at rest, exhaustion with activity, lack of energy which affects daily work, inertia or lack of endurance, or as loss of vitality. It has been confirmed that fatigue is not only a symptom but may also be quantified by fatigue scores and can be modified by various measures depending on the underlying cause[4]. However, there has been no study about fatigue in AS patients in China.Objectives:This study aimed to evaluate the predictors of fatigue and the effects of fatigue on HR-QoL among patients with AS.Methods:A total of 150 AS patients were involved in the study. A series of questionnaires included: Bath Ankylosing Spondylitis Disease Activity Index (BASDAI), Bath Ankylosing Spondylitis Metrology Index (BASMI), Bath Ankylosing Spondylitis Functional Index (BASFI), the 10 cm Visual Analog Scale (VAS), the Self-Rating Anxiety Scale (SAS), the Self-Rating Depression Scale (SDS), the Pittsburgh Sleep Quality Index (PSQI), the Health Assessment Questionnaire-Disability Index (HAQ-DI), the Short Form 36 Health Survey (SF-36) and the Fatigue Severity Scale(FSS). Independent samples t-test, Mann–Whitney U-test, Chi-square analysis, Pearson /Spearman correlation and binary logistic regression were used to analyze the data.Results:The results demonstrated that 48.7% individuals with AS suffered from fatigue. Compared with AS patients without fatigue, AS patients with fatigue showed higher WHR(P<0.05), increased BASDAI (P<0.01) and poorer BASFI (P<0.05). Meanwhile, AS patients with fatigue tended to have more severe pain(P<0.05), higher degree of anxiety(P=0.001), more serious functional disability(P=0.001) and worse sleep quality(P=0.001). Binary logistic regression indicated that WHR (OR=1.78,P<0.05), BASDAI (OR=1.34,P=0.01), sleep disturbance (OR=2.35,P<0.05) were independent predictors of fatigue in AS patients. Additionally, the occurrence of fatigue significantly reduced the quality of life in AS patients both physically and psychologically.Conclusion:These findings suggested that medical personnel should pay more attention to AS patients with fatigue and take effective measures to relieve fatigue.References:[1]Law L, Beckman Rehnman J, Deminger A, Klingberg E, Jacobsson LTH, Forsblad-d’Elia H (2018) Factors related to health-related quality of life in ankylosing spondylitis, overall and stratified by sex. Arthritis research & therapy 20 (1):284. doi:10.1186/s13075-018-1784-8[2]Hanson A, Brown MA (2017) Genetics and the Causes of Ankylosing Spondylitis. Rheumatic diseases clinics of North America 43 (3):401-414. doi:10.1016/j.rdc.2017.04.006[3]Ulus Y, Akyol Y, Bilgici A, Kuru O (2019) Association of work instability with fatigue and emotional status in patients with ankylosing spondylitis: comparison with healthy controls. Clinical rheumatology 38 (4):1017-1024. doi:10.1007/s10067-018-4366-x[4]Finsterer J, Mahjoub SZ (2014) Fatigue in healthy and diseased individuals. The American journal of hospice & palliative care 31 (5):562-575. doi:10.1177/1049909113494748Acknowledgments:Thanks to all the authors for their efforts and thanks to all members of the Department of Rheumatology of Affiliated Hospital of Nantong University for their helpfulness in the acquisition of data.Disclosure of Interests:None declared

scholarly journals Prevalence, Correlations, and Impact of Sleep Disturbance in Chinese Meningioma Patients

2021 ◽  
Author(s):  
Dandan Zhang ◽  
Jing Wang ◽  
Xixi Gu ◽  
Zhifeng Gu ◽  
Liren Li ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Logistic Regression ◽  
Sleep Quality ◽  
Sleep Disturbance ◽  
Short Form ◽  
Binary Logistic Regression ◽  
Anxiety And Depression ◽  
Newly Diagnosed ◽  
Chi Square Analysis

Abstract Purpose Sleep disturbance is common in meningioma patients and may lead to disease aggravation and decreases health-related quality of life (HRQoL). However, the sleep quality of meningioma patients newly diagnosed and ready for surgery has not been well clarified in China. This study aims to evaluate the prevalence, correlates, and impact of sleep disturbance among Chinese meningioma patients. Methods In this cross-sectional study, meningioma patients were recruited from the Affiliated Hospital of Nantong University from January 2020 to November 2020. A series of questionnaires were applied: the 0–10 Numerical Rating Scale (NRS), the Hospital Anxiety and Depression Scale (HADS), the Multidimensional Fatigue Inventory (MFI-20), the Epworth Sleepiness Scale (ESS), the Short-Form 36 (SF-36), the Pittsburgh Sleep Quality Index (PSQI). Independent samples t test, Mann-Whitney U test, chi-square analysis, Pearson/Spearman correlation, and binary logistic regression were used to analyze the data. Results 100 meningioma patients completed the questionnaires. Sleep disturbance affected 43% of the meningioma patients and was linked to many concomitant symptoms, such as headache, fatigue, anxiety and depression. Binary logistic regression indicated that fatigue and headache were predictors of sleep disturbance in meningioma patients. Meanwhile, severe sleep disturbance led to lower quality of life. Conclusions These findings demonstrated that a considerable number of meningioma patients newly diagnosed and ready for surgery suffered from sleep disturbance, potentially contributing to impair HRQoL. Medical personnel should pay more attention to meningioma patients with sleep disturbance and take effective measures to improve sleep quality, with the ultimate goal to improve their HRQoL.

scholarly journals AB1331-HPR ACTIVE DISEASE ACTIVITY IN ANKYLOSIS SPONDYLITIS: WORSE OUTCOMES AND POORER HR-QOL

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1954.2-1954
Author(s):  
W. Zhou ◽  
M. He ◽  
R. Zhao ◽  
C. Dong ◽  
Z. Gu
Keyword(s):  
Quality Of Life ◽  
Ankylosing Spondylitis ◽  
Disease Activity ◽  
Activity Index ◽  
Disease Activity Index ◽  
The Self ◽  
Self Rating ◽  
Chi Square Analysis ◽  
Active Disease

Background:Ankylosing spondylitis (AS) is a chronic inflammatory disease that mainly affects the sacroiliac joints and the spine, resulting in decline in quality of life[1,2]. Poor QoL is significantly related to high disease activity[3]. However, there is no systematic report on which prognosis indicators are affected by disease activity in AS patients.Objectives:This study aimed to evaluate the patient-reported outcome measures and health-related quality of life (HR-QoL) in AS patients defined on the basis of the Bath Spondylitis Ankylosing Disease Activity Index (BASDAI).Methods:204 AS patients were involved in this study. A serious of questionnaires were used to overall assess AS patients, which include: Bath Ankylosing Spondylitis Disease Activity Index (BASDAI), Bath Ankylosing Spondylitis Metrology Index (BASMI), Bath Ankylosing Spondylitis Functional Index (BASFI), the 10 cm Visual Analog Scale (VAS), the Self-Rating Anxiety Scale (SAS), the Self-Rating Depression Scale (SDS), the Pittsburgh Sleep Quality Index (PSQI), the Health Assessment Questionnaire-Disability Index (HAQ-DI), the Fatigue Severity Scale(FSS) and the Short Form 36 Health Survey (SF-36). Independent samples t-test, Mann–Whitney U-test, Chi-square analysis and Pearson /Spearman correlation were used to analyze the data.Results:The results demonstrated 31.4% AS patients were in active disease activity stage. Active AS patients were older, unemployed, and had less exercise therapy than stable AS patients. Besides, AS patients with active disease activity presented more severe pain(P<0.001), poor physical function(P<0.001) and spinal mobility(P<0.001). They were more anxious(P<0.001), depressed(P<0.001) and had more sleep disturbance(P=0.001). Compared with active AS patients, stable AS patients had more leukocytes(P=0.040), lymphocytes(P=0.002), erythrocytes(P=0.001) and hemoglobin(P<0.001). Active disease activity had a significant impact on all dimensions of quality of life in AS patients(P<0.001).Conclusion:These findings suggested that medical personnel should pay more attention to active AS patients and make effective interventions to improve quality of life.References:[1]Exarchou S, Lindstrom U, Askling J, Eriksson JK, Forsblad-d’Elia H, Neovius M, Turesson C, Kristensen LE, Jacobsson LT (2015) The prevalence of clinically diagnosed ankylosing spondylitis and its clinical manifestations: a nationwide register study. Arthritis research & therapy 17:118. doi:10.1186/s13075-015-0627-0[2]Qian Q, Xu X, He H, Ji H, Zhang H, Ding Y, Dai SM, Zou Y, Zhu Q, Yang C, Ye S, Jiang L, Tang JP, Tong Q, He D, Zhao D, Li Y, Ma Y, Zhou J, Yuan Z, Zhang J, Jin L, Zhou X, Reveille JD, Zou H, Wang J (2017) Clinical patterns and characteristics of ankylosing spondylitis in China. Clinical rheumatology 36 (7):1561-1568. doi:10.1007/s10067-017-3660-3[3]Huang JC, Qian BP, Qiu Y, Wang B, Yu Y, Zhu ZZ, Hu J, Qu Z (2017) Quality of life and correlation with clinical and radiographic variables in patients with ankylosing spondylitis: a retrospective case series study. BMC musculoskeletal disorders 18 (1):352. doi:10.1186/s12891-017-1711-1Acknowledgments:Thanks to all the authors for their efforts and thanks to all members of the Department of Rheumatology of Affiliated Hospital of Nantong University for their helpfulness in the acquisition of data.Disclosure of Interests:None declared

scholarly journals AB1329-HPR THE CURRENT STATUS AND ASSOCIATED FACTORS OF FATIGUE IN CHINESE PATIENTS WITH GOUT

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1953.3-1953
Author(s):  
J. Guo ◽  
W. Zhou ◽  
M. He ◽  
Z. Gu ◽  
C. Dong
Keyword(s):  
Multiple Sclerosis ◽  
Logistic Regression ◽  
Linear Regression ◽  
Sleep Quality ◽  
Binary Logistic Regression ◽  
Psychological Status ◽  
Functional Disorder ◽  
Stepwise Linear Regression ◽  
Chi Square Analysis ◽  
Anxiety Depression

Background:Fatigue of chronic diseases has been paid more and more attention. but the status of fatigue in gout patients has not been reported all the world[1].Objectives:In the absence of previous studies, our study aims to investigate the fatigue status, explore the potential predictors of fatigue and the effects of fatigue on health-related quality of life (HRQoL) among Chinese gout patients.Methods:This cross-sectional study was conducted from the Affiliated Hospital of Nantong University. A series of questionnaires were applied: Fatigue Scale-14 (FS-14), the 10 cm visual analog scale (VAS), the Patient Health Questionnaire (PHQ-9), the Generalized Anxiety Disorder questionnaire (GAD-7), the Pittsburgh Sleep Quality Index (PSQI), Health Assessment Questionnaire(HAQ), the Short Form 36 health survey (SF-36). Laboratory examinations were taken to obtain some biochemical indicators. Independent samples t-test, Mann–Whitney U-test, Chi-square analysis, Pearson /Spearman correlation, Stepwise linear regression and binary logistic regression were used to analyze the data.Results:411 gout patients were included in this study. Among them, more than 50% patients reported physical fatigue in FS-14, severe disease, poor psychological status and reduced HRQoL were associated with fatigue. Multiple stepwise linear regression and binary logistic regression were applied and showed that pain, sleep quality, anxiety, depression and functional disorder were the potential predictors of fatigue. In addition, we found that the more severe the fatigue, the lower the patient’s HRQoL.Conclusion:Fatigue among gout patients is exceedingly common. The results of this study suggested that rheumatologists should pay closely attention to gout patients who suffer from serious fatigue, especially those with pain, poorer sleep quality, anxiety, depression and functional disorder.References:[1]Henry, A., Tourbah, A., Camus, G., Deschamps, R., Mailhan, L., Castex, C., Gout, O. & Montreuil, M. (2019) Anxiety and depression in patients with multiple sclerosis: The mediating effects of perceived social support, Multiple sclerosis and related disorders. 27, 46-51.Disclosure of Interests:None declared

THE IMPACT OF SIBLING STATUS ON CHINESE COLLEGE STUDENTS' QUALITY OF LIFE

2005 ◽  
Vol 33 (3) ◽  
pp. 227-242 ◽  
Author(s):  
Glen D. Edwards ◽  
Art W. Bangert ◽  
Gregory Cooch ◽  
Naotaka Shinfuku ◽  
Tao Chen ◽  
...  
Keyword(s):  
Quality Of Life ◽  
College Students ◽  
The Self ◽  
World Health ◽  
World Health Organization Quality ◽  
Chinese College Students ◽  
Self Rating ◽  
Holistic Understanding ◽  
The Impact

The World Health Organization Quality of Life-100 (WHOQOL-100, Power, Harper, Bullinger, & WHO1QLG), the Self-Rating Anxiety Scale (Zhang, 1993), and the Self-Rating Depression Scale (Zhang, 1993) were used to determine whether Chinese college students from only child and sibling child families rated perceptions of their quality of life differently. Small to moderate significant differences were found when comparing only students to sibling students on the WHOQOL-100 with no significant differences on measures of anxiety and depression. These results suggest that only students do not differ greatly from sibling students in terms of their overall perceptions of their quality of life. A unique characteristic of this study was that it targeted older college students born after implementation of the one-child-per-family policy in China. Also, self-rating instruments were used to gain a greater holistic understanding of the emotional well-being, physical state and social functioning of students. Several psychosocial and economic reasons, including methodological issues related to this study's findings, were discussed.

scholarly journals Interaction of anxiety, depression and hypertension on quality of life in patients with gynecological tumor and the moderating effect of social support

2021 ◽  
Author(s):  
ZhiHui Gu ◽  
Hui Wu
Keyword(s):  
Quality Of Life ◽  
Social Support ◽  
Gynecological Cancer ◽  
Moderating Effect ◽  
The Self ◽  
Self Rating ◽  
Gynecological Tumor ◽  
Interaction Term ◽  
Anxiety Depression

Objective: To explore the effect of anxiety, depression and hypertension on quality of life (QOL) of patients with gynecological tumor and the interaction among them, and the moderating effect of social support. Design: Cross-sectional design Setting: December 2019 to July 2020, the COVID-19 outbreak phase. Population or Sample: A total of 695 gynecological cancer patients were collected. Methods: The study used the Self-Rating Anxiety Scale (SAS), the Self-Rating Depression Scale (SDS), the Functional Assessment of Cancer Therapy Genera tool (FACT-G), and the Multidimensional Scale of Perceived Social Support Scale (MSPSS). Regression analysis and the simple slope analysis were conducted. Results: QOL of patients with anxiety and hypertension had seriously deteriorated [OR=10.297, 95%CI (5.647-18.775)]. And QOL of patients with depression and hypertension also had seriously deteriorated [OR=11.846, 95%CI (6.597-21.271)]. Calculated by crossover analysis, the synergy index, attributable proportion and relative excess risk due to interact of anxiety and hypertension were1.698,0.371 and 3.822, and the correlation index of interaction between depression and hypertension were 1.475, 0.295, and 3.493. The Social Support &Depression interaction term and Social Support &Anxiety interaction term were negatively correlated with QOL (p<0.01), and explained an extra 5.7% and 5.6% of the variance respectively (p<0.01). Conclusion: Anxiety, depression and hypertension have interaction on the QOL of patients with gynecological tumors. Social support can significantly moderate the relationship between depression, anxiety and QOL respectively. Funding: National Key R&D Program of China (Grant #2018YFC1311600). Keywords: quality of life, depression, anxiety, social support, hypertension, moderating effect

Effect of Continuous Nursing Mode on Negative Emotions and Self-Management of Patients With Parkinson’s Disease

2021 ◽  
Vol 7 (5) ◽  
pp. 2678-2686
Author(s):  
Pingli Chen ◽  
Xiulan Liu ◽  
Pengfei Xiao ◽  
Liu Wu
Keyword(s):  
Quality Of Life ◽  
Sleep Quality ◽  
Negative Emotions ◽  
Nursing Intervention ◽  
The Self ◽  
Self Management ◽  
Limb Function ◽  
Nursing Satisfaction ◽  
Perceived Burden

This research aims to explore the influence of continuous nursing mode on negative emotions and self-management of patients with Parkinson’s disease (PD).Seventy-two PD patients admitted to our hospital from February 2017 to March 2019 were collected in this experiment. Among them, those treated by routine nursing were divided into the control group (CG) (35 cases), and those with continuous nursing were included into the research group (RG) (37 cases). Self-perceived burden scale (SPBS) was used as an evaluation standard for patients; The higher the score, the more serious the self-perceived burden is. Before nursing and one month after nursing, the depression scores were evaluated by the Hamilton Depression Scale (HAMD); The higher the score, the more serious the depression is. The sleep quality of patients before and after nursing was assessed by the Pittsburgh Sleep Quality Index (PSQI), 21 scores in total; The higher the score, the lower the sleep quality of patients after delivery is. The function of patients’ activities of daily living (ADL) was measured by the Barthel index (Bl), totally 100 scores; The higher the score, the stronger the ADL is. The limb function of patients was analyzed by the Fugl-Meyer assessment of motor function (FAM), 100 scores in total; The higher the score, the stronger the limb function is. The quality of life of patients was evaluated by the quality of life scale (GQOL-74). There are four dimensions, 100 points for each; The higher the score, the better the quality of life is. The patients’ nursing satisfaction of our hospital were assessed by the self-made Nursing Satisfaction Questionnaire, 5 points for each question. The total score < 70 was dissatisfied, 70-89 was satisfied, and > 90 was very satisfied. Satisfaction = (very satisfied+satisfied)/total cases x100%. There was no difference in SPBS and HAMD scores between both groups before nursing intervention (P > 0.05), but the scores in the RG were lower than those in the CG after nursing intervention (P < 0.05). There was no marked difference in PSQI scores between the two groups before nursing (P > 0.05), but the scores of the RG decreased after nursing compared with the CG (P < 0.05). The FAM and Bl scores of both groups showed no difference before nursing intervention (P > 0.05), but the scores in the RG increased after nursing compared with the CG (P < 0.05). Complications occurred in both groups 6 months after discharge; The total incidence in the RG was 2.70%, dramatically lower that of the CG (22.86%) (P < 0.05).The GQOL-74 scores (physical function, mental function, social function and material life) of patients in the RG were higher than those in the CG (P < 0.05). The nursing satisfaction of patients in the RG was 97.30%, higher than that in the CG (77.14%) (P < 0.05).Continuous nursing can improve the negative emotions and self-management of patients, reduce the occurrence of complications, and perfect their quality of sleep and life.

scholarly journals The prevalence of poor sleep quality and its associated factors in patients with interstitial lung disease: a cross-sectional analysis

2019 ◽  
Vol 5 (3) ◽  
pp. 00062-2019 ◽  
Author(s):  
Jin-Gun Cho ◽  
Alan Teoh ◽  
Mary Roberts ◽  
John Wheatley
Keyword(s):  
Quality Of Life ◽  
Logistic Regression ◽  
Interstitial Lung Disease ◽  
Sleep Quality ◽  
Lung Disease ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Sectional Analysis

BackgroundMany patients with interstitial lung disease (ILD) experience poor sleep quality, which may contribute to decreased quality of life. Sleep disordered breathing is commonly associated with ILD but there is less information on other factors that may contribute to poor sleep quality.MethodsWe conducted a cross-sectional analysis of 101 patients with a diagnosis of ILD at a pulmonary rehabilitation assessment clinic. We assessed the prevalence of poor sleep quality using the Pittsburgh Sleep Quality Index (PSQI) and performed multivariable logistic regression analysis to determine factors independently associated with poor sleep quality.ResultsMedian forced expiratory volume in 1 s was 64% predicted (interquartile range (IQR) 50–77%) and vital capacity was 62% predicted (IQR 48–78%). 67 (66%) out of 101 patients reported poor sleep quality. The median PSQI was 8 units (IQR 4–11 units). There were no significant differences in physical or physiological parameters including age, sex distribution, body mass index or spirometry values between subjects with good sleep quality and those with poor sleep quality (all p>0.1). Multivariable logistic regression showed that depression (p=0.003) and Epworth Sleepiness Scale (p=0.03) were independently associated with poor sleep quality.ConclusionPoor sleep quality is common in patients with ILD and is independently associated with increasing symptoms of depression and sleepiness. Routine assessment of sleep quality should be undertaken and interventions targeting depression and coexisting sleep disorders may be required in symptomatic patients to determine if sleep quality and ultimately, health-related quality of life improves as a result.

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