Quality of life among perinatally HIV-affected and HIV-unaffected school-aged and adolescent Ugandan children: a multi-dimensional assessment of wellbeing in the post-HAART era
Abstract
Objective
To examine quality of life (QOL) in perinatally HIV-infected (PHIV) or HIV-exposed uninfected (PHEU) vs. healthy HIV-unexposed uninfected (HUU) children during school-age/adolescence.
Methods
PHIV infection was diagnosed via DNA PCR. Current HIV status was confirmed by HIV rapid diagnostic test. Three HIV groups were defined: PHIV, PHEU, and HUU. QOL was assessed with proxy and self-report versions of the PedsQL™ 4.0 instrument at 6–18 years of age. QOL scores ranged from zero (least QOL) to 100 (highest QOL) in the following dimensions: combined QOL inventory (CQOLI), multi-dimensional vigor (MDV), general wellbeing (GWB), present functioning, and general cognitive functioning (CF). Multivariable linear regression models estimated HIV-related percent differences (β) in QOL scores and 95% confidence intervals (CI).
Findings
Compared to HUU CQOLI deficits ranged from 6.5 to 9.2% (95% CI −15.4, −1.6), GWB deficit ranged from 6.5 to 10.5% (95% CI −16.0, −1.3), MDV deficit ranged from 6.8 to 11.6% (95% CI −14.5, 0.9), and CF deficit ranged from 9.7 to 13.1% for PHIV children. QOL deficits of similar magnitude and direction in most domains were observed for PHIV compared to PHEU. However, self-reported indicators of GWB (β = −3.5; 95% CI −9.0, 2.0) and present functioning (β = 4.0; 95% CI −4.6, 12.5) were similar for PHIV compared to PHEU. QOL scores were generally similar for PHEU compared to HUU.
Conclusion
PHEU and HUU had similar QOL profile but PHIV predicted sustained deficits in multiple QOL domains. PHIV and PHEU children were similar with respect to general wellbeing and present functioning. Psychosocial and scholastic interventions in combination with HIV care are likely to improve QOL in PHIV.
Keywords
Quality of life Perinatally acquired HIV infection Perinatally HIV-exposed uninfected Healthy unexposed uninfected controls School-age AdolescenceNotes
Acknowledgements
We acknowledge with thanks the kind indulgence of study participants and the diligence of our field research staff.
Funding
Data collection for this work was supported by a faculty research grant to AEE from the University of Georgia Research Foundation (Grant#: 2523) and 2013 seed funding support from the University of Georgia School of Public Health to AEE. Support for AEE time spent on analysis and manuscript development was provided with support from the International AIDS Society (Grant#: 327-EZE).
Author contributions
AKN led data analysis, data interpretation and manuscript development, critique, and revision for important intellectual content. SKZ contributed to study design, led data collection, and contributed to manuscript development. FNK and JNS contributed to data collection, data interpretation, and manuscript critique and revision for intellectually important content. JM, MZ, and PM contributed to data interpretation, critique, and revision of the manuscript for important intellectual content. All authors reviewed drafts of the manuscript, provided suggestions for refinement, and were involved in the final approval of the version for peer-review. AEE designed the study, contributed to data collection, data analysis, interpretation, and manuscript development and refinement.
Compliance with ethical standards
Conflict of interest
The authors declare that they have no competing interests.
Supplementary material
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