THE HEALTH-RELATED QUALITY OF LIFE IN PATIENTS WITH ANKYLOSING SPONDYLITIS ASSESSED BY SF-36

2019 ◽  
pp. 63-67
Author(s):  
Hoang Thanh Van Nguyen ◽  
Thi Thuy Lien Vo
Keyword(s):  
Quality Of Life ◽  
Ankylosing Spondylitis ◽  
Mental Component Summary ◽  
Physical Component Summary Score ◽  
Summary Score ◽  
Health Related Quality ◽  
Sf 36 ◽  
Related Quality ◽  
Health Related

Background: Ankylosing spondylitis is a chronic arthritis primarily affecting the sacroiliac joints and spine, progressively progressing decrease or loss of spine mobility, severely influences the quality of life. The SF-36 questionnaire is useful in assessing quality of life, monitoring clinical outcomes and effectiveness of treament of ankylosing spondylitis. This study aims to assess the quality of life in patients with ankylosing spondylitis and investigate its correlation with clinical factors. Method: In this cross-sectional study, included 34 ankylosing spondylitis patients who were diagnosed according to the modified New York 1984 criteria. The health status was assessed by using the SF-36 questionnaire. Results: The patients with ankylosing spondylitis had average quality of life (82.4%) and low (17.6%). The mean physical component summary score, mental component summary and SF-36 score was: 36.48 ± 17.89, 48.79 ± 18.49 and 42.66 ± 17.52. There was significant correlation with disease activity, the body mass index and no correlation with age at diagnosis, duration of disease. Conclusions: The patients with ankylosing spondylitis is had significantly low SF-36 scores in all domains. The physical component summary score was more affected than the mental component summary score. Key words: Ankylosing spondylitis, the health-related quality of life, the SF-36 questionnaire

scholarly journals Effect of multimorbidity patterns on the decline in health-related quality of life: a nationwide prospective cohort study in Japan

BMJ Open ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. e047812
Author(s):  
Takuya Aoki ◽  
Shunichi Fukuhara ◽  
Yasuki Fujinuma ◽  
Yosuke Yamamoto
Keyword(s):  
Quality Of Life ◽  
Cohort Study ◽  
Clinical Outcomes ◽  
Prospective Cohort ◽  
Summary Score ◽  
Health Related Quality ◽  
Sf 36 ◽  
Related Quality ◽  
Health Related

ObjectivesLongitudinal studies, which consider multimorbidity patterns, are useful for better clarifying the effect of multimorbidity on health-related quality of life (HRQoL) and for identifying the target population with poorer clinical outcomes among patients with multimorbidity. This study aimed to examine the effects of different multimorbidity patterns on the decline in HRQoL.DesignNationwide prospective cohort study.SettingJapanese adult residents.ParticipantsResidents aged ≥50 years selected by the quota sampling method.Primary outcome measureClinically relevant decline in HRQoL was defined as a 0.50 SD (5-point) decrease in the 36-Item Short Form Health Survey (SF-36) component summary scores for 1 year.ResultsIn total, 1211 participants completed the follow-up survey. Among the multimorbidity patterns identified using confirmatory factor analysis, multivariable logistic regression analyses revealed that high cardiovascular/renal/metabolic and malignant/digestive/urologic pattern scores were significantly associated with the clinically relevant decline in SF-36 physical component summary score (adjusted OR (aOR)=1.25, 95% CI: 1.08 to 1.44 and aOR=1.28, 95% CI: 1.04 to 1.58, respectively). High cardiovascular/renal/metabolic pattern score was also significantly associated with the clinically relevant decline in SF-36 role/social component summary score (aOR=1.23, 95% CI: 1.06 to 1.42).ConclusionsOur study revealed that multimorbidity patterns have different effects on the clinically relevant decline in HRQoL for 1 year. These findings can be useful in identifying populations at high risk and with poor clinical outcomes among patients with chronic diseases and multimorbidity for efficient resource allocation.

scholarly journals Health-related Quality of Life Assessment on 100 Tunisian Patients with Ankylosing Spondylitis using the SF-36 Survey

2012 ◽  
Vol 27 (6) ◽  
pp. 455-460 ◽  
Author(s):  
Wafa Hamd ◽  
Dhouha Azzouz ◽  
Mohamed Mehdi Ghannouchi ◽  
Manel HaouelSamir Kochbati ◽  
Samir Kochbati ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Ankylosing Spondylitis ◽  
Life Assessment ◽  
Health Related Quality ◽  
Quality Of Life Assessment ◽  
Sf 36 ◽  
Tunisian Patients ◽  
Related Quality ◽  
Health Related

scholarly journals Nonmedical Factors and Health-Related Quality of Life in CKD in India

2020 ◽  
Vol 15 (2) ◽  
pp. 191-199 ◽  
Author(s):  
Gopesh K. Modi ◽  
Ashok K. Yadav ◽  
Arpita Ghosh ◽  
Kajal Kamboj ◽  
Prabhjot Kaur ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Kidney Disease ◽  
Socioeconomic Factors ◽  
Physical Component Summary ◽  
Mental Component Summary ◽  
Summary Score ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related

Background and objectivesPatient-reported outcomes have gained prominence in the management of chronic noncommunicable diseases. Measurement of health-related quality of life is being increasingly incorporated into medical decision making and health care delivery processes.Design, setting, participants, & measurementsThe Indian Chronic Kidney Disease Study is a prospective cohort of participants with mild to moderate CKD. Baseline health-related quality of life scores, determined by the standardized Kidney Disease Quality of Life 36 item instrument, are presented for the inception cohort (n=2919). Scores are presented on five subscales: mental component summary, physical component summary, burden, effect of kidney disease, and symptom and problems; each is scored 0–100. The associations of socioeconomic and clinical parameters with the five subscale scores and lower quality of life (defined as subscale score <1 SD of the sample mean) were examined. The main socioeconomic factors studied were sex, education, occupation, and income. The key medical factors studied were age, eGFR, diabetes, hypertension, and albuminuria.ResultsThe mean (SD) subscale scores were physical component summary score, 43±9; mental component summary score, 48±10; burden, 61±33; effects, 87±13; and symptoms, 90±20. Among the socioeconomic variables, women, lower education, and lower income were negatively associated with reduced scores across all subscales. For instance, the respective β-coefficients (SD) for association with the physical component summary subscale were −2.6 (−3.4 to −1.8), −1.5 (−2.2 to −0.7), and −1.6 (−2.7 to −0.5). Medical factors had inconsistent or no association with subscale scores. The quality of life scores also displayed regional variations.ConclusionsIn this first of its kind analysis from India, predominantly socioeconomic factors were associated with quality of life scores in patients with CKD.

scholarly journals Health-Related Quality of Life and Frailty in Chronic Liver Diseases

Life ◽  
2020 ◽  
Vol 10 (5) ◽  
pp. 76 ◽  
Author(s):  
Hiroki Nishikawa ◽  
Kazunori Yoh ◽  
Hirayuki Enomoto ◽  
Yoshinori Iwata ◽  
Yoshiyuki Sakai ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Physical Functioning ◽  
Summary Score ◽  
Chronic Liver ◽  
Health Related Quality ◽  
Sf 36 ◽  
Related Quality ◽  
Health Related ◽  
Frailty Score

We sought to examine the relationship between frailty and health-related quality of life as evaluated using the 36-item Short-Form Health Survey (SF-36) questionnaire in Japanese chronic liver disease (CLD) patients (n = 341, 122 liver cirrhosis cases, median age = 66 years). Frailty was defined as a clinical syndrome in which three or more of the following criteria were met (frailty score 3, 4, or 5): unintentional body weight loss, self-reported exhaustion, muscle weakness (grip strength: <26 kg in men and <18 kg in women), slow walking speed (<1.0 m/s), and low physical activity. Robust (frailty score 0), prefrail (frailty score 1 or 2), and frailty were found in 108 (31.7%), 187 (54.8%), and 46 (13.5%) patients, respectively. In all eight scales of the SF-36 (physical functioning, role physical, bodily pain, general health perception, vitality, social functioning, role emotion, and mental health), and the physical component summary score and mental component summary score, each score was well stratified according to the frailty status (all p < 0.0001). In the multivariate analysis, age (p = 0.0126), physical functioning (p = 0.0005), and vitality (p = 0.0246) were independent predictors linked to the presence of frailty. In conclusion, Japanese CLD patients with frailty displayed poorer conditions, both physically and mentally.

scholarly journals Health-Related Quality of Life of Military Policemen in Salvador, Brazil: Cross-Sectional Study.

2020 ◽  
Author(s):  
Carla Requião Barreto ◽  
Fernando Martins Carvalho ◽  
Liliane Lins-Kusterer
Keyword(s):  
Quality Of Life ◽  
Alcohol Consumption ◽  
Work Ability ◽  
Police Officers ◽  
Mental Component Summary ◽  
Health Related Quality ◽  
Sf 36 ◽  
Related Quality ◽  
Health Related

Abstract Background: Brazil is a violent society and police officers play a fundamental role in this scenario. Police work is a stressful occupation. Dealing with routine violence, police officers must have high standards of physical and mental health. Patrolling the streets involves several risks and stressful situations that may hamper military policemen's quality of life. This study aimed to identify factors associated with health-related quality of life in military policemen. Methods: A cross-sectional design study investigated a random sample of 329 male military police officers, engaged in patrolling the streets of Salvador, Bahia, Brazil. A structured questionnaire was applied to the policemen during their working hours. Information was collected about age, education, marital status, housing, car ownership, police rank, working day, alcohol consumption, smoking, frequency of vigorous physical activity and weight and height, in order to calculate body mass index. Health-related quality of life was evaluated through the 36-Item Short Form Survey Questionnaire (SF-36). Work ability was assessed through the Work Ability Index questionnaire. Poor work ability was defined by a Work Ability Index 7-27 points. Multivariable linear regression models were used to measure the impact of police officer characteristics on variation in the Physical Component and Mental Component Summary scores.Results: Normalised scores were below 50.0 for seven out of the eight SF-36 domains and for the two component summaries. The SF-36 Physical Component Summary was associated with poor work ability, while the Mental Component Summary was associated with poor work ability, excessive alcohol consumption, and younger age. Poor work ability affected 10.3% of the workforce. Decreases of 7.363 units (%) in the Physical Component Summary mean and of 12.862 units (%) in the Mental Component Summary mean were estimated for policemen with poor work ability.Conclusions: The military police officers investigated presented poor health-related quality of life, associated with younger age, excessive alcohol consumption, and poor work ability, which may hamper the performance of their professional activities.

The Effect of Golimumab Therapy on Disease Activity and Health-related Quality of Life in Patients with Ankylosing Spondylitis: 2-year Results of the GO-RAISE Trial

2014 ◽  
Vol 41 (6) ◽  
pp. 1095-1103 ◽  
Author(s):  
Désirée van der Heijde ◽  
Atul Deodhar ◽  
Jürgen Braun ◽  
Michael Mack ◽  
Benjamin Hsu ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Ankylosing Spondylitis ◽  
Disease Activity ◽  
Inactive Disease ◽  
Health Related Quality ◽  
Major Improvement ◽  
Sf 36 ◽  
Related Quality ◽  
Health Related

Objective.To evaluate the effects of golimumab therapy on achieving inactive disease or major improvement, as assessed by the Ankylosing Spondylitis Disease Activity Score (ASDAS), and improvements in health-related quality of life (HRQOL) and productivity through 2 years in patients with AS.Methods.In the phase III GO-RAISE trial, 356 patients were randomized to placebo with crossover to golimumab 50 mg at Week 24 (n = 78), golimumab 50 mg (n = 138), or golimumab 100 mg (n = 140) at baseline and every 4 weeks. The proportions of patients with ASDAS major improvement (improvement ≥ 2.0) or inactive disease (score < 1.3) were determined. HRQOL was assessed using the 36-item Medical Outcomes Study Short Form-36 physical/mental component summary (SF-36 PCS/MCS) scores (normal score ≥ 50). The effect of disease on productivity was assessed by visual analog scale (0–10). Regression analyses on the association of disease activity and HRQOL were performed. The final assessment was at Week 104.Results.Significantly greater proportions of golimumab-treated patients achieved ASDAS major improvement or inactive disease at weeks 14 and 24 versus placebo. Through Week 104, patients who achieved ASDAS inactive disease or major improvement had significantly greater improvements in SF-36 PCS and MCS scores and productivity than did patients not meeting these targets. Among all patients, achieving ASDAS inactive disease at weeks 52 and 104 was associated with normalized SF-36 PCS/MCS scores and significant improvements in work productivity.Conclusion.Greater proportions of golimumab-treated patients achieved ASDAS major improvement or inactive disease and improved HRQOL versus placebo. Achieving an inactive disease state by ASDAS criteria (< 1.3) was associated with normalized HRQOL through 2 years.

Association between eHealth Literacy and Health-Related Quality of Life among Chinese Older Adults: A Cross-Sectional Study (Preprint)

2020 ◽  
Author(s):  
Shaojie Li ◽  
Yongtian Yin ◽  
Lijun Chen ◽  
Guanghui Cui ◽  
Jiaqin Li ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Older Adults ◽  
Mental Component Summary ◽  
Health Related Quality ◽  
Cross Sectional ◽  
Chinese Older Adults ◽  
Ehealth Literacy ◽  
Related Quality ◽  
Health Related

BACKGROUND Older adults’ health literacy levels are crucial to improving health outcomes and health-related quality of life (HRQoL). However, the impact of eHealth literacy on HRQoL in older adults is unclear. OBJECTIVE The aim of this study was to examine the association between eHealth literacy and HRQoL of older adults and provide reference for the development of network intervention measures related to the health quality of life of the older adults. METHODS An anonymous cross-sectional survey was conducted among 1,201 adults aged 60 or older from Jinan, China. The eHealth Literacy Scale and Short-Form Health Survey (SF-12) were used to measure eHealth literacy and HRQoL. We used linear regression to test the adjusted association between eHealth literacy and HRQoL. RESULTS Most participants (88.9%) had inadequate eHealth literacy. Lower eHealth literacy was related to older age ( F=12.618, P<.001), female gender( t=3.303, P<.01), living in rural areas( F=11.356, P<.001), having less education( F=59.084, P<.001), being unmarried, divorced or widowed( t=4.416, P<.001), having a lower family income( F=38.017, P<.001), living with others(χ2=4.319, P<.05), and not having health insurance( F=12.713, P<.001). There were significant differences across physical functioning( t=-4.862, P<.001), role- physical( t=-2.485, P<.05), bodily pain( t=-3.470, P<.01), general health( t=-4.449, P<.001), vitality( t=-3.498, P<.001), role-emotional( t=-2.654, P<.01), mental health( t=-4.150, P<.001), physical component summary( t=-6.350, P<.001) and mental component summary( t=-4.483, P<.001) between adequate eHealth literacy and inadequate eHealth literacy. After controlling for age, gender, and other covariates, adequate eHealth literacy was positively related to physical component summary ( beta=7.6, P<.001) and mental component summary(beta=4.6, P=.001). CONCLUSIONS This study showed that Chinese older adults with higher eHealth literacy were more likely to contribute to higher HRQoL. Thus, Older adults’ eHealth literacy levels need to be taken into account when formulating health education and promotion programs for older adults, especially when the expected outcome is to improve HRQoL.

scholarly journals Impact of malnutrition on health-related quality of life in persons receiving dialysis: a prospective study

2021 ◽  
pp. 1-24
Author(s):  
Daniela Viramontes-Hörner ◽  
Zoe Pittman ◽  
Nicholas M Selby ◽  
Maarten W Taal
Keyword(s):  
Quality Of Life ◽  
Prospective Study ◽  
Health Related Quality ◽  
Poor Hrqol ◽  
Sf 36 ◽  
Related Quality ◽  
Health Related ◽  
The Impact ◽  
Over Time

Abstract Health-related quality of life (HRQoL) is severely impaired in persons receiving dialysis. Malnutrition has been associated with some measures of poor HRQoL in cross-sectional analyses in dialysis populations, but no studies have assessed the impact of malnutrition and dietary intake on change in multiple measures of HRQoL over time. We investigated the most important determinants of poor HRQoL and the predictors of change in HRQoL over time using several measures of HRQoL. We enrolled 119 haemodialysis and 31 peritoneal dialysis patients in this prospective study. Nutritional assessments (Subjective Global Assessment [SGA], anthropometry and 24-hour dietary recalls) and HRQoL questionnaires (Short Form-36 [SF-36] mental [MCS] and physical component scores [PCS] and European QoL-5 Dimensions [EQ5D] health state [HSS] and visual analogue scores [VAS]) were performed at baseline, 6 and 12 months. Mean age was 64(14) years. Malnutrition was present in 37% of the population. At baseline, malnutrition assessed by SGA was the only factor independently (and negatively) associated with all four measures of HRQoL. No single factor was independently associated with decrease in all measures of HRQoL over 1 year. However, prevalence/development of malnutrition over one year was an independent predictor of 1-year decrease in EQ5D HSS and 1-year decrease in fat intake independently predicted the 1-year decline in SF-36 MCS and PCS, and EQ5D VAS. These findings strengthen the importance of monitoring for malnutrition and providing nutritional advice to all persons on dialysis. Future studies are needed to evaluate the impact of nutritional interventions on HRQoL and other long-term outcomes.

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