247 resultados para Blood donors. Quality of life. sf-36. Customer services. Donor selection


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Context: The negative effects of childhood overweight and obesity on quality of life (QOL) have been shown in clinical samples but not yet in population-based community samples.

Objective: To determine relationships between weight and health-related QOL reported by parent-proxy and child self-report in a population sample of elementary school children.

Design, Setting, and Participants:
Cross-sectional data collected in 2000 within the Health of Young Victorians Study, a longitudinal cohort study commenced in 1997. Individuals were recruited via a random 2-stage sampling design from primary schools in Victoria, Australia. Of the 1943 children in the original cohort, 1569 (80.8%) were resurveyed 3 years later at a mean age of 10.4 years.

Main Outcome Measures: Health-related QOL using the PedsQL 4.0 survey completed by both parent-proxy and by child self-report. Summary scores for children'S total, physical, and psychosocial health and subscale scores for emotional, social, and school functioning were compared by weight category based on International Obesity Task Force cut points.

Results: Of 1456 participants, 1099 (75.5%) children were classified as not overweight; 294 (20.2%) overweight; and 63 (4.3%) obese. Parent-proxy and child self-reported PedsQL scores decreased with increasing child weight. The parent-proxy total PedsQL mean (SD) score for children who were not overweight was 83.1 (12.5); overweight, 80.0 (13.6); and obese, 75.0 (14.5); P < .001. The respective child self-reported total PedsQL mean (SD) scores were 80.5 (12.2), 79.3 (12.8), and 74.0 (14.2); P < .001. At the subscale level, child and parent-proxy reported scores were similar, showing decreases in physical and social functioning for obese children compared with children who were not overweight (all P < .001). Decreases in emotional and school functioning scores by weight category were not significant.

Conclusion: The effects of child overweight and obesity on health-related QOL in this community-based sample were significant but smaller than in a clinical sample using the same measure.

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Although illnesses and diseases are thought to adversely affect quality of life (QoL), whether children who have physical disabilities (PD) from a young age adapt to the effect of developmental disabilities has rarely been investigated. This study attempted to assess the subjective wellbeing, and examine the correlation between objective and subjective QoL, of children with PD. Using a self-reported non-disease-specific questionnaire, the QoL of 72 young persons (13.5 ± 2.0 years) with PD was contrasted with those who do not have disabilities (n = 510; age-matched). MANOVA analyses revealed that the PD group had lower objective QoL score (63.0 ± 7.4 vs. 66.8 ± 5.7, p < 0.001) but the two groups were not significantly different in subjective QoL score (70.9 ± 11.4 vs. 69.6 ± 13.6, p = 0.466). No correlation was found between objective and subjective QoL in the PD group (r ranged from 0.06 to 0.19), while weak to medium correlations (r ranged from 0.03 to 0.41) were observed for the controls. The apparent detachment of subjective feeling and objective circumstances in the PD group may reflect adjustment to developmental disabilities.

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Despite increased concern for the health related quality of life (HRQOL) of people with disabilities, little is known about the HRQOL of children with developmental disabilities. The present study aimed to explore the HRQOL of children who were at risk or having developmental disabilities in Hong Kong. Using the parent-reported Chinese Pediatric Quality of Life Inventory (PedsQL), the HRQOL of 173 children (2–4 years) with signs of delays in development was contrasted with that of 132 children with typical development. We found that those who exhibited high risk of developing a developmental disability had significantly lower overall well-being (76.3 ± 13.7 vs. 84.2 ± 11.3; p<0.001) and psychosocial health (71.3 ± 15.6 vs. 82.5 ± 12.9; p<0.001) but not necessarily physical health. The findings are consistent with previous findings in children with different disabilities and chronic illnesses. They suggest children at risk or having DDs need help in restoring their quality of life up to the standard experienced by their healthy peers, particular in psychosocial aspects such as social functioning, emotion functioning, and school functioning.

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The Pediatric Quality of Life Inventory (PedsQL) is a scale for assessing health-related quality of life of children and adolescents aged 2-18 years. Three reports of PedsQL for the age ranges 2-4 years and 5-7 years were translated into Chinese and their validities were examined. A total of 186 children and parents were involved in the study. Content validity, test-retest reliability, internal consistency reliability and construct validity were assessed. The correlation of parents' and children's reports was also examined. The results showed that the internal consistency is generally good, test-retest reliability ranged from moderate to good, differences between disabled and non-disabled individuals are significant in total scores and in all subscales except for the physical functioning subscale for the children's self-report for the age ranges of 2-4 years and 5-7 years and the correlation between the reports of the parents and children for the age range of 5-7 years is moderate to high. This suggests that the newly translated Chinese PedsQL for children aged 2-4 years and 5-7 years seems to be reliable and valid to be used as a measure of health-related quality of life in Chinese pediatric research and clinical applications.

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Background: Although parent-proxy reports of health-related quality of life (HRQOL) are only moderately correlated with child reported HRQOL, it remains unknown why these scores differ. The aim of this study was to use a qualitative methodology to examine why parents and children report different levels of HRQOL.

Method: The sample consisted of 15 parent–child pairs. A think-aloud technique was used where parents and children were given a generic HRQOL instrument (KIDSCREEN) and instructed to share their thoughts with the interviewer. Qualitative analyses were conducted to assess whether parents and children base their answer on different experiences or reasoning, have different response styles, or interpret the items differently.

Results: There was discordance between parents and children, in terms of rating scale and in terms of the reasoning for their answer. Children tended to have different response styles to parents, where for example, children tended to provide extreme scores (highest or lowest score) and base their response on one single example, more than parents. Parents and children interpreted the meaning of the items very similarly.

Discussion: This study provides evidence to suggest that discordance among parent-child pairs on KIDSCREEN scores may be as a result of different reasoning and different response styles, rather than interpretation of items. These findings have important implications when parent-proxy reported HRQOL is used to guide clinical/treatment decisions.

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This paper describes the development and psychometric properties of a condition-specific quality of life instrument for children with cerebral palsy (CP QOL-Child). A sample of 205 primary caregivers of children with CP aged 4 to 12 years (mean 8y 5mo) and 53 children aged 9 to 12 years completed the CP QOL-Child. The children (112 males, 93 females) were sampled across Gross Motor Function Classification System (GMFCS) levels (Level I=18%, II=28%, III=14%, IV=11%, V=27%). Primary caregivers also completed other measures of child health (Child Health Questionnaire; CHQ), QOL (KIDSCREEN), and functioning (GMFCS). Internal consistency ranged from 0.74 to 0.92 for primary caregivers and from 0.80 to 0.90 for child self-report. For primary caregivers, 2-week test-retest reliability ranged from 0.76 to 0.89. The validity of the CP QOL is supported by the pattern of correlations between CP QOL-Child scales with the CHQ, KIDSCREEN, and GMFCS. Preliminary statistics suggest that the child self-report questionnaire has acceptable psychometric properties. The questionnaire can be freely accessed at http://www.deakin.edu.ac/hmnbs/chase/cerebralpalsy/cp_qol_home.php.

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Where people are located can influence behavioral choices and health outcomes through the effects of place on health. Walking is the most commonly reported form of nonoccupational and nonhousehold physical activity for adults. It is a behavior of particular interest to those in the transportation, urban planning, and public health fields. Researchers have examined patterns of walking from both an individual perspective (psychological and social factors) and from a broader community focus (location and built environment factors). The majority of studies have examined walking in the context of urban environments. Variations within regions (urban, periurban, and rural, for example) in walking have not been previously described. We use data from a regionally based quality of life survey to examine subregional variations in walking for particular purposes. Both the social and contextual variations that may underlie these differences are considered. This is useful in helping identify particular factors that may be further investigated in disaggregated analyses using GIS methods to identify specific differences in objective attributes between subregions that may influence peoples' choices to walk, such as walking infrastructure and the availability of destinations.

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This study examined the financial costs of multiple sclerosis (MS) and the impact of financial strain on the subjective quality of life of people with MS and their families. Due to the lack of research in this area, a qualitative research design was employed. Interviews were conducted with 16 health professionals, 26 people with MS, and 11 family members of people who had MS. Adjusting to actual or threatened loss of income caused financial stress. These financial struggles led to a lower quality of life among respondents. Problem solving, coping, and positive reappraisal helped people to adjust to financial changes. Professionals focused on increased funding for services, whereas people with MS focused on improved income support. These findings highlight the need for professionals to consider the financial strain associated with this disease and the impact of this strain on the quality of life of individuals with MS and their families.

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A number of governments and public policy institutes have developed ldquoQuality of Life Indexesrdquo – statistics that attempt to measure the quality of life for entire states or regions. We develop 14 criteria for determining the validity and usefulness of such QOL indexes to public policy. We then review 22 of the most-used QOL indexes from around the world. We conclude that many of the indexes are successful in that they are reliable, have established time series measures, and can be disaggregated to study subpopulations. However, many fall short in four areas: (1) indexes vary greatly in their coverage and definitions of domains of QOL, (2) none of the indexes distinguish among the concepts of input, throughput, and output that are used by public policy analysts, (3) they fail to show how QOL outputs are sensitive to public policy inputs, and (4) none have examined convergent validity against each other. We conclude that many of these indexes are potentially very useful for public policy and recommend research to further improve them.

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A Rasch analysis was used to assess the unidimensionality and appropriateness of the scoring level of a 13-item self-perceived change in quality of life scale (CQOL) for stroke patients. A total of 158 patients with mild stroke completed the CQOL themselves at home. The results showed that a unidimensional CQOL can be created by deleting the three items related to speaking, vision, and thinking. The 4 scoring categories of the shortened scale were deemed appropriate from the analysis. These results provide preliminary evidence of the 10-item CQOL in assessing self-perceived change in quality of life in stroke patients. Further studies are needed to examine the test-retest reliability, criterion validity, and responsiveness of the 10-item CQOL in stroke patients.

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The purpose of this study was to explore the effect of physical disabilities (PD) on the quality of life (QoL) of adolescents aged from 10 to 18 years. Sixty-three adolescents with PD (aged 14.9 ± 2.4 years) from primary (5th grade or above) to high schools in Kaohsiung City volunteered to participate in this research; 282 children without disability (aged 13.8 ± 2.3 years) attending schools in the same geographical region were recruited as controls. The Student Version of the Comprehensive Quality of Life Scale was used in this study. This is a multidimensional self-report, global measure of subjective and objective QoL. Multivariate analysis of variance revealed that the two groups were significantly different in objective QoL (F = 11.53, p < 0.001). Material wellbeing was substantially lower in the PD group when compared to the control group. In contrast, domains such as productivity, safety, and emotion were higher in the PD group. Among the subjective scales, the PD group showed higher productivity and better emotion when compared to the control group. No significant correlation was observed between objective and subjective overall QoL scores (r = 0.20, p = 0.12) in the PD group. These findings showed that subjects with PD in regular schools demonstrated different patterns in objective and subjective QoL when compared to those without PD. Both subjective and objective domains are important when measuring QoL of adolescents with PD.

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In this article a number of issues involving the concept of quality of life as applied to persons with intellectual disabilities are summarized, and a number of agreed-upon principles regarding its conceptualization, measurement, and application are presented. We realize that the concepts and models presented in this article will vary potentially from country to country, and even from area to area within countries. The cross-cultural understanding of the concept of quality of life is in its infancy, and we hope that the discourses resulting from the material presented in this article will facilitate both cross-cultural understanding and collaborative work. The article reflects current thought about the conceptualization, measurement, and application of this increasingly important and widely used concept in the field of intellectual disabilities and sets the stage for its continuing development.

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Objectives: To compare groups of urban and regional Victorian diabetic children and assess their quality of life, diabetes knowledge, access to services and metabolic control.

Methods: Forty-seven children from three regional Victorian communities (Horsham, Warrnambool and Sale; n = 16, 18 and 13, respectively) were compared with 120 age-, sex- and duration of diabetes-matched children attending the Royal Children's Hospital (RCH) diabetes clinic in Melbourne. Quality of life, diabetes knowledge, use of services, and metabolic control were assessed using the child health questionnaire (CHQ PF-50/CF-80); a diabetes-knowledge questionnaire; access to a diabetes nurse educator (DNE), dietitian and complication screening; and indices of mean HbA1C (values are taken every 3 months in the 'yearly HbA1C'), respectively.

Results: Comparisons of CHQ data showed that regional diabetic youth scored significantly lower on most subscales. The greatest deficits were seen in areas of mental health, self-esteem, parent impact (emotional) and family cohesion. Diabetes knowledge and median yearly HbA1C for patients were not significantly different between the regional and urban centres (8.1%, 8.9%, 8.4% and 8.6% at RCH, Horsham, Warrnambool and Sale, respectively). Patients in regional centres had reportedly less access to team-based diabetes care.

Conclusions: Regional youth in Victoria, with similar levels of metabolic control and diabetes knowledge as their urban counterparts, have a markedly lower quality of life, implying a negative synergy between diabetes and the demands of regional lifestyles.