scholarly journals Pediatric health-related quality of life and school social capital through network perspectives

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0242670
Author(s):  
Tomoya Hirota ◽  
Michio Takahashi ◽  
Masaki Adachi ◽  
Kazuhiko Nakamura
Keyword(s):  
Quality Of Life ◽  
Social Capital ◽  
Network Structure ◽  
Population Sample ◽  
Health Related Quality ◽  
Pediatric Health ◽  
Related Quality ◽  
Health Related ◽  
School Social Capital

Background Despite their importance in population health among children and adolescents, our understanding of how individual items mutually interact within and between pediatric health-related quality of life (HRQOL) and school social capital is limited. Methods We employed network analysis in a general population sample of 7759 children aged 9–15 years to explore the network structure of relations among pediatric HRQOL and school social capital items measured using validated scales. Furthermore, network centrality was examined to identify central items that had stronger and more direct connections with other items in the network than others. Network structure and overall strength of connectivity among items were compared between groups (by sex and age). Results Our analysis revealed that the item related to school/academic functioning and the item related to shared enjoyment among students had the highest strength centrality in the network of HRQOL and school social capital, respectively, underpinning their critical roles in pediatric HRQOL and school social capital. Additionally, the edge connecting “I trust my friends at school” and “trouble getting along with peers” had the strongest negative edge weight among ones connecting school social capital and pediatric HRQOL constructs. Network comparison test revealed stronger overall network connectivity in middle schoolers compared to elementary schoolers but no differences between male and female students. Conclusion The network approach elucidated the complex relationship of mutually influencing items within and between pediatric HRQOL and school social capital. Addressing central items may promote children’s perceived health and school social capital.

scholarly journals Individual social capital and health-related quality of life among older rural Chinese

2015 ◽  
Vol 37 (2) ◽  
pp. 221-242 ◽  
Author(s):  
XIAOJIE SUN ◽  
KUN LIU ◽  
MARTIN WEBBER ◽  
LIZHENG SHI
Keyword(s):  
Quality Of Life ◽  
Social Capital ◽  
Short Form ◽  
Health Related Quality ◽  
Chinese People ◽  
Individual Social Capital ◽  
Related Quality ◽  
Health Related ◽  
Resource Generator

ABSTRACTNo study based on the Resource Generator has explored the association between individual social capital and health-related quality of life among older adults. This study aims to evaluate the validity and reliability of the adapted Resource Generator-China, and examine the association between individual social capital measured by the Resource Generator-China and health-related quality of life of older rural-dwelling Chinese people. A field survey including 975 rural-dwelling people aged between 60 and 75 years was conducted in three counties of the Shandong Province of China in 2013. Quality of life was measured by the Chinese version of the 36-Item Short Form Health Survey (SF-36): scores of Physical Component Summary and Mental Component Summary. Cumulative scale analyses were performed to analyse the homogeneity and reliability of the Resource Generator-China. We constructed generalised linear models by gender to examine the associations of social capital with health-related quality of life. Our findings suggest that the adapted instrument for older rural-dwelling Chinese people can be a reliable and valid measure of access to individual social capital. There were positive associations between individual social capital (total scores and sub-scale scores) and health-related quality of life. Individual social capital had a stronger association with mental health among women than men. Future studies should be improved through a longitudinal design with a larger and randomised sample covering large geographical rural areas in China.

Health related quality of life in recurrent depression: A comparison with a general population sample

2010 ◽  
Vol 120 (1-3) ◽  
pp. 126-132 ◽  
Author(s):  
Mascha C. ten Doesschate ◽  
Maarten W.J. Koeter ◽  
Claudi L.H. Bockting ◽  
Aart H. Schene
Keyword(s):  
Quality Of Life ◽  
General Population ◽  
Population Sample ◽  
General Population Sample ◽  
Health Related Quality ◽  
Recurrent Depression ◽  
Related Quality ◽  
Health Related

scholarly journals Validation of pediatric health‐related quality of life instruments for primary ciliary dyskinesia (QOL‐PCD)

2019 ◽  
Vol 54 (12) ◽  
pp. 2011-2020 ◽  
Author(s):  
Laura Behan ◽  
Margaret W. Leigh ◽  
Sharon D. Dell ◽  
Alexandra L. Quittner ◽  
Claire Hogg ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Primary Ciliary Dyskinesia ◽  
Health Related Quality ◽  
Pediatric Health ◽  
Related Quality ◽  
Health Related ◽  
Quality Of Life Instruments ◽  
Ciliary Dyskinesia

scholarly journals Cross-sectional comparison of health-related quality of life and other features in people with and without objective and subjective binge eating using a general population sample

BMJ Open ◽  
2019 ◽  
Vol 9 (2) ◽  
pp. e024227
Author(s):  
Natalie Li ◽  
Deborah Mitchison ◽  
Stephen Touyz ◽  
Phillipa Hay
Keyword(s):  
Quality Of Life ◽  
Mental Health ◽  
Eating Disorders ◽  
Binge Eating ◽  
Diagnostic Criteria ◽  
Population Sample ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related

ObjectivesEvidence suggests that while objective binge eating (OBE) and subjective binge eating (SBE) differ in the amount of food consumed, both are associated with impairment in people with eating disorders. However, only OBE is accounted for in the diagnostic criteria of eating disorders. This study compared the sociodemographic profile and burden of OBE versus SBE at a population level.DesignPopulation-based survey.ParticipantsA representative sample of 3028 men and women. Participants were categorised into four groups based on their reporting of binge eating in the past 3 months: non-binge eating group (no OBE or SBE), OBE group, SBE group and OSBE group (both OBE and SBE).Outcome measuresDemographics (age, genderand body mass index, BMI), binge eating, distress, weight/shape overvaluation and health-related quality of life. Groups were compared on sociodemographic information, overvaluation and health-related quality of life. The OBE and SBE groups were also compared on the distress related to binge eating.ResultsNo differences were found between the SBE group and OBE group in age, gender, BMI, mental health-related quality of life and overvaluation (all p>0.05). However, differences were found in the OSBE participants, namely that they were younger, had a higher mean BMI, lower mental health-related quality of life and higher overvaluation of weight/shape than the non-binge-eating participants (all p<0.001). Proportions of participants who reported distress related to binge eating in the OBE and SBE groups also did not differ (p=0.678).ConclusionThere is little difference in the demographic profile or burden of people who engage in OBE versus SBE, supporting the proposed inclusion of SBE in the diagnostic criteria for eating disorders in International Classification of Diseases-11. People who experience both OBE and SBE may experience a relatively higher eating disorder severity and impairment.

Does it really matter where you live? A panel data multilevel analysis of Swedish municipality-level social capital on individual health-related quality of life

2006 ◽  
Vol 1 (3) ◽  
pp. 209-235 ◽  
Author(s):  
M. Kamrul Islam ◽  
Juan Merlo ◽  
Ichiro Kawachi ◽  
Martin Lindström ◽  
Kristina Burström ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Social Capital ◽  
Health Status ◽  
Panel Data ◽  
Health State ◽  
Health Related Quality ◽  
Individual Health ◽  
Related Quality ◽  
Health Related

We test whether individual health status is related to area-level social capital measured by rates of voting participation in municipal political elections, controlling for personal characteristics, where health status is measured by mapping responses to interview survey questions into the generic health-related quality of life measure (HRQoL) the EQ-5D in order to derive the health state scores. The analysis is based on unbalanced panel data from Statistic Sweden's Survey of Living Conditions (the ULF survey) and a 3-level multilevel regression analysis, where level 1 consists of a total of 31,585 observations for 24,419 individuals at level 2 nested within 275 Swedish municipalities at level 3. We find that the health state scores increase significantly with municipality election rates. This result is robust to a number of measurement and specification issues explored in a sensitivity analysis. However, almost all variation in health status exists across individuals (more than 98%), which demonstrates that even if social capital (and other contextual variables) may be significant it is of less importance, at least at the municipality level in Sweden.

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