scholarly journals Berbagai Faktor yang Berpengaruh Terhadap Kualitas Hidup Penyelam Tradisional Penderita Penyakit Dekompresi

2019 ◽  
Vol 4 (1) ◽  
pp. 45
Author(s):  
Sri Rahayu Widyastuti ◽  
Suharyo Hadisaputro ◽  
Munasik Munasik
Keyword(s):  
Quality Of Life ◽  
Decompression Sickness ◽  
Poor Quality ◽  
Loss Of Consciousness ◽  
Diving Depth ◽  
Related Quality ◽  
Health Related ◽  
History Of ◽  
Control Study

Background: Decompression sickness is thought to have an effect on health-related quality of life (HRQL), however, not yet known factors that affect the quality of life on traditional divers with decompression sickness.Methods: This research was a mix methods research with case-control study design which strengthened by FGD. The participants were 66 volunteers, consist of  33 cases dan 33 controls. The data obtained from the study were analyzed using bivariate and multivariate analysis.Results: Variables that had been proven to affect poor quality of life were history of hypertension  comorbid (p = 0.010; OR = 65.476; 95% CI = 2.735 – 1,568), diving depth ≥ 30 meters (p = 0.014; OR = 38.410; 95% CI = 2.114 – 698.028), history of loss of consciousness during diving (p = 0.009; OR = 12.456, 95% CI = 1.884 – 82.363), diving duration ≥ 2 hours (p = 0.021; OR = 9.860; 95% CI = 1.410 – 68.943), suffering from anemia (p = 0.024; OR = 8.837; 95% CI = 1.332 – 58.632), frequency of decompression sickness history > 1 time (p = 0.020; OR = 8.834; 95% CI = 1.404 – 55.584).Conclusion: Factors that had been proven to affect poor quality of life on traditional diver with decompression sickness were the history of hypertension comorbid, diving depth ≥ 30 meters, history of loss of consciousness during diving, diving duration ≥ 2 hours, suffering from anemia, the frequency of previous decompression sickness > 1 time.

scholarly journals The Relationship between Non-Communicable Diseases History and Health-Related Quality of Life

2016 ◽  
Vol 12 (1) ◽  
Author(s):  
Ajeng Tias Endarti ◽  
Agus Handito
Keyword(s):  
Quality Of Life ◽  
Poor Quality ◽  
Communicable Diseases ◽  
Joint Disease ◽  
Shortness Of Breath ◽  
Non Communicable Diseases ◽  
Related Quality ◽  
Health Related ◽  
History Of

Disaster-prone population is vulnerable for suffering non-communicable diseases (NCDs) which become risk factors for poor quality of life (QoL). The study aims at investigating the effect of history of NCDs to the QoL. QoL was measured by WHODAS. NCDs with prevalence more than 1% were involved in analysis. Those NCDs included shortness of breath, diabetes, hypertension, joint disease and stroke. Among 1,872 respondents of Riskesdas, 7.7% of them have a poor QoL, suffering hypertension (8.7%), shortness of breath (7.3%) and asthma (6.9%). Risks of poor QoL six times higher among those with a history of PTM (PORadj 5.987; 95% CI 4.210-8.514) after adjusted by age, gender, education, socioeconomic status and region of residence. Stroke gives the greatest impact with POR 25.00 (95% CI 10.406 to 60.063). We recommend that the promotion and prevention of NCDs should be integrated with both mitigation-related and community resilience activities to disasters.

scholarly journals Assessment of Quality of life Among Children with Cancer, Children Undergoing Hemodialysis and Children with Thalassemia: A Comparative Study

2020 ◽  
Author(s):  
Tayseer Afifi ◽  
Khamis Elessi ◽  
Obay Baraka ◽  
Mohammed Omar ◽  
Israa Ahmad ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Chronic Conditions ◽  
Poor Quality ◽  
Health Related Quality ◽  
Children With Cancer ◽  
Related Quality ◽  
Health Related ◽  
Pedsql 4.0 ◽  
Assess Quality

Abstract Purpose This study aims to evaluate health-related quality of life among children with different chronic conditions and make a comparison among them. In addition, the study will draw a comparison between children’s perspective about their quality of life and parents’ perspective. Furthermore, the study will address the associations between quality of life with disease severity, duration and the presence of other co-morbidities. Methods This was a prospective, analytical, correlational study design in which Pediatric Quality of Life Inventory (PedsQL 4.0 generic core scale) was administered to assess quality of life on 110 children; 50 children with cancer, 30 children with thalassemia and 30 children undergoing hemodialysis. Researchers interviewed children as well as their parents. Results Results showed that children with Thalassemia had the lowest scores and suffered from poor quality of life compared to the other two groups of children. Interestingly, quality of life level among children undergoing dialysis was lower than children with cancer. However, there were marked discrepancy between child’s and parents’ answers on scale questions. The level of quality of life, in all children, were statistically significant in relation with family size, income and parents’ education. Conclusion We identified high prevalence of poor level of health-related quality of life among children included in this study. The findings support that the quality of life among children with chronic conditions should receive more attention in our local medical settings.

scholarly journals Double disadvantage: a case control study on health-related quality of life in children with sickle cell disease

2010 ◽  
Vol 8 (1) ◽  
pp. 121 ◽  
Author(s):  
Channa T Hijmans ◽  
Karin Fijnvandraat ◽  
Jaap Oosterlaan ◽  
Harriët Heijboer ◽  
Marjolein Peters ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Sickle Cell Disease ◽  
Case Control Study ◽  
Case Control ◽  
Health Related Quality ◽  
Cell Disease ◽  
Related Quality ◽  
Health Related ◽  
Control Study

scholarly journals Foot health-related quality of life among elderly with and without lesser toe deformities: a case–control study

2018 ◽  
Vol Volume 12 ◽  
pp. 251-255 ◽  
Author(s):  
Daniel Lopez Lopez ◽  
María Martínez-Vázquez ◽  
Marta Elena Losa-Iglesias ◽  
Cesar Calvo Lobo ◽  
David Rodríguez-Sanz ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Health Related Quality ◽  
Foot Health ◽  
Related Quality ◽  
Health Related ◽  
Control Study

scholarly journals Primary breast cancer and health related quality of life in Spanish women: The EpiGEICAM case-control study

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Nerea Fernández de Larrea-Baz ◽  
Beatriz Pérez-Gómez ◽  
Ángel Guerrero-Zotano ◽  
Ana María Casas ◽  
Begoña Bermejo ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Quality Of Life ◽  
Case Control Study ◽  
Case Control ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related ◽  
Spanish Women ◽  
Control Study

Changes in Health-Related Quality of Life Among Older Adults with Prostate Cancer: A Case-Control Study

2017 ◽  
Vol 225 (4) ◽  
pp. e105
Author(s):  
Gopal L. Narang ◽  
Angela B. Smith ◽  
Byron Jaeger ◽  
Laura Pinheiro ◽  
Lloyd J. Edwards ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Prostate Cancer ◽  
Older Adults ◽  
Case Control Study ◽  
Case Control ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related ◽  
Control Study

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

2016 ◽  
Vol 51 (6) ◽  
pp. 442-453 ◽  
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.

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

2020 ◽  
Vol 29 (6) ◽  
pp. 772-776 ◽  
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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