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Measuring and Valuing Health-Related Quality of Life among Children and Adolescents in Mainland China – A Pilot Study

Background The Child Health Utility 9D (CHU9D), a new generic preference-based health-related quality of life (HRQoL) instrument, has been validated for use in young people in both the UK and Australia. The main objectives of this study were to examine the feasibility of using a Chinese version of t... Full description

Journal Title: PLoS One Feb 2014, Vol.9(2), p.e89222
Main Author: Xu, Fei
Other Authors: Chen, Gang , Stevens, Katherine , Zhou, Hairong , Qi, Shengxiang , Wang, Zhiyong , Hong, Xin , Chen, Xupeng , Yang, Huafeng , Wang, Chenchen , Ratcliffe, Julie
Format: Electronic Article Electronic Article
Language: English
Subjects:
ID: E-ISSN: 19326203 ; DOI: 10.1371/journal.pone.0089222
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title: Measuring and Valuing Health-Related Quality of Life among Children and Adolescents in Mainland China – A Pilot Study
format: Article
creator:
  • Xu, Fei
  • Chen, Gang
  • Stevens, Katherine
  • Zhou, Hairong
  • Qi, Shengxiang
  • Wang, Zhiyong
  • Hong, Xin
  • Chen, Xupeng
  • Yang, Huafeng
  • Wang, Chenchen
  • Ratcliffe, Julie
subjects:
  • China
  • Adelaide South Australia Australia
  • Child Development
  • Behavior
  • Childrens Health
  • Sleep
  • Physical Activity
  • Adolescence
  • Quality
  • Adolescents
  • Health
  • Demographics
  • Algorithms
  • Scoring
  • Children
  • Disease Prevention
  • Sleep
  • Feasibility Studies
  • Pediatrics
  • Health Economics
  • Validation Studies
  • Students
  • Feasibility Studies
  • Children
  • Quality of Life
  • Feasibility Studies
  • Validity
  • Utilities
  • Children
  • Adults
  • Public Health
  • Preferences
  • Algorithms
  • Quality of Life
  • Algorithms
  • Mental Depression
  • Regression Analysis
  • Children & Youth
  • Sleep
  • Sleep
  • Teenagers
  • Scaling
  • Quality of Life
  • Disease Control
  • Young Adults
  • Centers for Disease Control & Prevention–CDC
  • Flinders University
  • Sleep
  • Physical Activity
  • Adolescents
  • China
  • Schools
  • Child Health
  • Quality of Life
  • Chinese People
ispartof: PLoS One, Feb 2014, Vol.9(2), p.e89222
description: Background The Child Health Utility 9D (CHU9D), a new generic preference-based health-related quality of life (HRQoL) instrument, has been validated for use in young people in both the UK and Australia. The main objectives of this study were to examine the feasibility of using a Chinese version of the CHU9D (CHU9D-CHN) to assess HRQoL and to investigate the association of physical activity, homework hours and sleep duration with HRQoL in children and adolescents in Mainland China. Methods Data were collected using a multi-stage sampling method from grades 4–12 students in May 2013 in Nanjing, China. Consenting participants (N = 815) completed a self-administered questionnaire including the CHU9D-CHN instrument and information on physical activity, homework and sleep duration, self-reported health status, and socio-demographic characteristics. Descriptive and multivariate linear regression analyses were undertaken. CHU9D-CHN utility scores were generated by employing two scoring algorithms currently available for the instrument, the first derived from UK adults utilising the standard gamble (SG) valuation method and the second derived from Australian adolescents utilising the best-worst scaling (BWS) method. Results It was found that CHU9D utility scores discriminated well in relation to self-reported health status and that better health status was significantly associated with higher utility scores regardless of which scoring algorithm was employed (both p
language: eng
source:
identifier: E-ISSN: 19326203 ; DOI: 10.1371/journal.pone.0089222
fulltext: fulltext_linktorsrc
issn:
  • 19326203
  • 1932-6203
url: Link


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titleMeasuring and Valuing Health-Related Quality of Life among Children and Adolescents in Mainland China – A Pilot Study
creatorXu, Fei ; Chen, Gang ; Stevens, Katherine ; Zhou, Hairong ; Qi, Shengxiang ; Wang, Zhiyong ; Hong, Xin ; Chen, Xupeng ; Yang, Huafeng ; Wang, Chenchen ; Ratcliffe, Julie
ispartofPLoS One, Feb 2014, Vol.9(2), p.e89222
identifierE-ISSN: 19326203 ; DOI: 10.1371/journal.pone.0089222
subjectChina ; Adelaide South Australia Australia ; Child Development ; Behavior ; Childrens Health ; Sleep ; Physical Activity ; Adolescence ; Quality ; Adolescents ; Health ; Demographics ; Algorithms ; Scoring ; Children ; Disease Prevention ; Sleep ; Feasibility Studies ; Pediatrics ; Health Economics ; Validation Studies ; Students ; Feasibility Studies ; Children ; Quality of Life ; Feasibility Studies ; Validity ; Utilities ; Children ; Adults ; Public Health ; Preferences ; Algorithms ; Quality of Life ; Algorithms ; Mental Depression ; Regression Analysis ; Children & Youth ; Sleep ; Sleep ; Teenagers ; Scaling ; Quality of Life ; Disease Control ; Young Adults ; Centers for Disease Control & Prevention–CDC ; Flinders University ; Sleep ; Physical Activity ; Adolescents ; China ; Schools ; Child Health ; Quality of Life ; Chinese People
descriptionBackground The Child Health Utility 9D (CHU9D), a new generic preference-based health-related quality of life (HRQoL) instrument, has been validated for use in young people in both the UK and Australia. The main objectives of this study were to examine the feasibility of using a Chinese version of the CHU9D (CHU9D-CHN) to assess HRQoL and to investigate the association of physical activity, homework hours and sleep duration with HRQoL in children and adolescents in Mainland China. Methods Data were collected using a multi-stage sampling method from grades 4–12 students in May 2013 in Nanjing, China. Consenting participants (N = 815) completed a self-administered questionnaire including the CHU9D-CHN instrument and information on physical activity, homework and sleep duration, self-reported health status, and socio-demographic characteristics. Descriptive and multivariate linear regression analyses were undertaken. CHU9D-CHN utility scores were generated by employing two scoring algorithms currently available for the instrument, the first derived from UK adults utilising the standard gamble (SG) valuation method and the second derived from Australian adolescents utilising the best-worst scaling (BWS) method. Results It was found that CHU9D utility scores discriminated well in relation to self-reported health status and that better health status was significantly associated with higher utility scores regardless of which scoring algorithm was employed (both p<0.001). The adjusted mean utilities were significantly higher for physically active than inactive students (0.023 by SG, 0.029 by BWS scoring methods, p<0.05). An additional hour of doing homework and sleep duration were, separately, associated with mean utilities of −0.019 and 0.032 based on SG, and −0.021 and 0.040 according to BWS scoring algorithms (p<0.01). Conclusion The CHU9D-CHN shows promise for measuring and valuing the HRQoL of children and adolescents in China. Levels of self-reported physical activity, homework and sleep time were important influencers of utility scores.
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9Wang, Chenchen
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titleMeasuring and Valuing Health-Related Quality of Life among Children and Adolescents in Mainland China – A Pilot Study
descriptionBackground The Child Health Utility 9D (CHU9D), a new generic preference-based health-related quality of life (HRQoL) instrument, has been validated for use in young people in both the UK and Australia. The main objectives of this study were to examine the feasibility of using a Chinese version of the CHU9D (CHU9D-CHN) to assess HRQoL and to investigate the association of physical activity, homework hours and sleep duration with HRQoL in children and adolescents in Mainland China. Methods Data were collected using a multi-stage sampling method from grades 4–12 students in May 2013 in Nanjing, China. Consenting participants (N = 815) completed a self-administered questionnaire including the CHU9D-CHN instrument and information on physical activity, homework and sleep duration, self-reported health status, and socio-demographic characteristics. Descriptive and multivariate linear regression analyses were undertaken. CHU9D-CHN utility scores were generated by employing two scoring algorithms currently available for the instrument, the first derived from UK adults utilising the standard gamble (SG) valuation method and the second derived from Australian adolescents utilising the best-worst scaling (BWS) method. Results It was found that CHU9D utility scores discriminated well in relation to self-reported health status and that better health status was significantly associated with higher utility scores regardless of which scoring algorithm was employed (both p<0.001). The adjusted mean utilities were significantly higher for physically active than inactive students (0.023 by SG, 0.029 by BWS scoring methods, p<0.05). An additional hour of doing homework and sleep duration were, separately, associated with mean utilities of −0.019 and 0.032 based on SG, and −0.021 and 0.040 according to BWS scoring algorithms (p<0.01). Conclusion The CHU9D-CHN shows promise for measuring and valuing the HRQoL of children and adolescents in China. Levels of self-reported physical activity, homework and sleep time were important influencers of utility scores.
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titleMeasuring and Valuing Health-Related Quality of Life among Children and Adolescents in Mainland China – A Pilot Study
authorXu, Fei ; Chen, Gang ; Stevens, Katherine ; Zhou, Hairong ; Qi, Shengxiang ; Wang, Zhiyong ; Hong, Xin ; Chen, Xupeng ; Yang, Huafeng ; Wang, Chenchen ; Ratcliffe, Julie
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2Child Development
3Behavior
4Childrens Health
5Sleep
6Physical Activity
7Adolescence
8Quality
9Adolescents
10Health
11Demographics
12Algorithms
13Scoring
14Children
15Disease Prevention
16Feasibility Studies
17Pediatrics
18Health Economics
19Validation Studies
20Students
21Quality of Life
22Validity
23Utilities
24Adults
25Public Health
26Preferences
27Mental Depression
28Regression Analysis
29Children & Youth
30Teenagers
31Scaling
32Disease Control
33Young Adults
34Centers for Disease Control & Prevention–CDC
35Flinders University
36Schools
37Child Health
38Chinese People
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abstractBackground The Child Health Utility 9D (CHU9D), a new generic preference-based health-related quality of life (HRQoL) instrument, has been validated for use in young people in both the UK and Australia. The main objectives of this study were to examine the feasibility of using a Chinese version of the CHU9D (CHU9D-CHN) to assess HRQoL and to investigate the association of physical activity, homework hours and sleep duration with HRQoL in children and adolescents in Mainland China. Methods Data were collected using a multi-stage sampling method from grades 4–12 students in May 2013 in Nanjing, China. Consenting participants (N = 815) completed a self-administered questionnaire including the CHU9D-CHN instrument and information on physical activity, homework and sleep duration, self-reported health status, and socio-demographic characteristics. Descriptive and multivariate linear regression analyses were undertaken. CHU9D-CHN utility scores were generated by employing two scoring algorithms currently available for the instrument, the first derived from UK adults utilising the standard gamble (SG) valuation method and the second derived from Australian adolescents utilising the best-worst scaling (BWS) method. Results It was found that CHU9D utility scores discriminated well in relation to self-reported health status and that better health status was significantly associated with higher utility scores regardless of which scoring algorithm was employed (both p<0.001). The adjusted mean utilities were significantly higher for physically active than inactive students (0.023 by SG, 0.029 by BWS scoring methods, p<0.05). An additional hour of doing homework and sleep duration were, separately, associated with mean utilities of −0.019 and 0.032 based on SG, and −0.021 and 0.040 according to BWS scoring algorithms (p<0.01). Conclusion The CHU9D-CHN shows promise for measuring and valuing the HRQoL of children and adolescents in China. Levels of self-reported physical activity, homework and sleep time were important influencers of utility scores.
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