The Influence of Psychological Variables on Health-Related Quality of Life among HIV-Positive Individuals with a History of Intravenous Drug Use

In total, 679 HIV-positive patients from 4 clinics in Urumqi city were given structured questionnaires by the doctors or nurses treating them. Health-related quality of life (HRQL) was assessed using the Chinese Patient-Reported Outcome Quality of Life-HIV questionnaire versions in Mandarin and Uyghur. This tool has been used in other parts of China and several countries. Compared to France, Australia, United States, Brazil, Thailand, Cambodia, Senegal, and Central-Southern China (CS China), the HRQL was significantly lower among HIV-positive patients in Xinjiang, with regard to the dimension of treatment impact and general health score. The health concern was similar to Brazil and Cambodia but lower than other countries and CS China. Our findings showed high stigmatization: 86% of the patients were afraid to tell others they were HIV positive and 69% often felt or always felt depressed. Only 1% of the patients were on antidepressant treatment.

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Association Between Anticholinergic Drug Use and Health-Related Quality of Life in Community-Dwelling Older Adults

Drugs & Aging ◽

10.1007/s40266-017-0486-2 ◽

2017 ◽

Vol 34 (10) ◽

pp. 785-792 ◽

Cited By ~ 8

Author(s):

Benoit Cossette ◽

Maimouna Bagna ◽

Modou Sene ◽

Caroline Sirois ◽

Gabrielle P. Lefebvre ◽

...

Keyword(s):

Quality Of Life ◽

Older Adults ◽

Drug Use ◽

Anticholinergic Drug ◽

Community Dwelling ◽

Health Related Quality ◽

Related Quality ◽

Health Related ◽

Community Dwelling Older Adults

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A history of unemployment or sick leave influences long-term functioning and health-related quality-of-life after severe traumatic brain injury

Brain Injury ◽

10.3109/02699052.2013.865274 ◽

2013 ◽

Vol 28 (3) ◽

pp. 328-335 ◽

Cited By ~ 5

Author(s):

Trandur Ulfarsson ◽

Åsa Lundgren-Nilsson ◽

Christian Blomstrand ◽

Michael Nilsson

Keyword(s):

Quality Of Life ◽

Traumatic Brain Injury ◽

Brain Injury ◽

Sick Leave ◽

Health Related Quality ◽

Related Quality ◽

Health Related ◽

History Of

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Anticholinergic drug use and health related quality of life (HRQoL) in the elderly with dementia

Value in Health ◽

10.1016/j.jval.2014.03.1290 ◽

2014 ◽

Vol 17 (3) ◽

pp. A220-A221

Author(s):

S.D. Sura ◽

R.M. Carnahan ◽

H. Chen ◽

R.R. Aparasu

Keyword(s):

Quality Of Life ◽

Drug Use ◽

Anticholinergic Drug ◽

The Elderly ◽

Health Related Quality ◽

Related Quality ◽

Health Related

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Health-Related Quality of Life in Athletes: A Systematic Review With Meta-Analysis

Journal of Athletic Training ◽

10.4085/1062-6050-51.7.03 ◽

2016 ◽

Vol 51 (6) ◽

pp. 442-453 ◽

Cited By ~ 21

Author(s):

Megan N. Houston ◽

Matthew C. Hoch ◽

Johanna M. Hoch

Keyword(s):

Quality Of Life ◽

Confidence Interval ◽

Random Effects ◽

Meta Analysis ◽

Collegiate Athletes ◽

Health Related Quality ◽

Related Quality ◽

Health Related ◽

History Of

Context: Assessment of health-related quality of life (HRQOL) after injury is important. Differences in HRQOL between nonathletes and athletes and between injured and uninjured athletes have been demonstrated; however, the evidence has not been synthesized. Objective: To answer the following questions: (1) Does HRQOL differ among adolescent and collegiate athletes and nonathletes? (2) Does HRQOL differ between injured adolescent and collegiate athletes or between athletes with a history of injury and uninjured athletes or those without a history of injury? Data Sources: We systematically searched CINAHL, MEDLINE, SPORTDiscus, and PubMed. A hand search of references was also conducted. Study Selection: Studies were included if they used generic instruments to compare HRQOL outcomes between athletes and nonathletes and between uninjured and injured athletes. Studies were excluded if they did not use a generic instrument, pertained to instrument development, or included retired athletes or athletes with a chronic disease. Data Extraction: We assessed study quality using the modified Downs and Black Index Tool. Bias-corrected Hedges g effect sizes and 95% confidence intervals (CIs) were calculated. The Strength of Recommendation Taxonomy (SORT) was used to determine the overall strength of the recommendation. A random-effects meta-analysis was performed for all studies using the composite or total score. Data Synthesis: Eight studies with modified Downs and Black scores ranging from 70.6% to 88.4% were included. For question 1, the overall random-effects meta-analysis was weak (effect size = 0.27, 95% confidence interval = 0.14, 0.40; P < .001). For question 2, the overall random-effects meta-analysis was moderate (effect size = 0.68, 95% confidence interval = 0.42, 0.95; P < .001). Conclusions: Grade A evidence indicates that athletes reported better HRQOL than nonathletes and that uninjured athletes reported better HRQOL than injured athletes. However, the overall effect for question 1 was weak, suggesting that the differences between athletes and nonathletes may not be clinically meaningful. Clinicians should monitor HRQOL after injury to ensure that all dimensions of health are appropriately treated.

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Fear-Avoidance Beliefs and Health-Related Quality of Life in Post-ACL Reconstruction and Healthy Athletes: A Case–Control Study

Journal of Sport Rehabilitation ◽

10.1123/jsr.2018-0491 ◽

2020 ◽

Vol 29 (6) ◽

pp. 772-776 ◽

Cited By ~ 2

Author(s):

Johanna M. Hoch ◽

Megan N. Houston ◽

Shelby E. Baez ◽

Matthew C. Hoch

Keyword(s):

Quality Of Life ◽

Physical Activity ◽

College Athletes ◽

Health Related Quality ◽

Fear Avoidance ◽

Fear Avoidance Beliefs ◽

Related Quality ◽

Health Related ◽

History Of

Context: Many athletes return to sport after anterior cruciate ligament reconstruction (ACLR) with lingering physical or mental health impairments. Examining health-related quality of life (HRQL) and fear-avoidance beliefs across the spectrum of noninjured athletes and athletes with a history of ACLR may provide further insight into targeted therapies warranted for this population. Objective: The purpose of this study was to examine differences in fear-avoidance beliefs and HRQL in college athletes with a history of ACLR not participating in sport (ACLR-NPS), participating in sport (ACLR-PS), and healthy controls (Control) with no history of injury participating in sport. Design: Cross-sectional. Setting: Laboratory. Patients (or Other Participants): A total of 10 college athletes per group (ACLR-NPS, ACLR-PS, and Control) were included. Participants were included if on a roster of a Division I or III athletic team during data collection. Interventions: Participants completed a demographic survey, the modified Disablement in the Physically Active Scale (mDPA) to assess HRQL, and Fear-Avoidance Beliefs Questionnaire (FABQ) to assess fear-avoidance beliefs. Main Outcome Measures: Scores on the mDPA (Physical and Mental) and FABQ subscales (Sport and Physical Activity) were calculated, a 1-way Kruskal–Wallis test and separate Mann–Whitney U post hoc tests were performed (P < .05). Results: ACLR-NPS (30.00 [26.00]) had higher FABQ-Sport scores than ACLR-PS (18.00 [26.00]; P < .001) and Controls (0.00 [2.50]; P < .001). ACLR-NPS (21.50 [6.25]) had higher FABQ-Physical Activity scores than ACLR-PS (12.50 [13.00]; P = .001) and Controls (0.00 [1.00]; P < .001). Interestingly, ACLR-PS scores for FABQ-Sport (P = .01) and FABQ-Physical Activity (P = .04) were elevated compared with Controls. ACLR-NPS had higher scores on the mDPA-Physical compared with the ACLR-PS (P < .001) and Controls (P < .001), and mDPA-Mental compared with ACLR-PS (P = .01), indicating decreased HRQL. Conclusions: The ACLR-NPS had greater fear-avoidance beliefs and lower HRQL compared with ACLR-PS and Controls. However, the ACLR-PS had higher scores for both FABQ subscales compared with Controls. These findings support the need for additional psychosocial therapies to address fear-avoidance beliefs in the returned to sport population.

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