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Health-related quality of life among 13-14?year old adolescents with overweight-a mixed methods approach.

ABSTRACT: BACKGROUND:Overweight and obesity are public concerns with risk of adverse health outcomes. Health-related quality of life (HRQoL) is lower in adolescents than children in general. An increase in body mass index (BMI) is associated with a decrease in HRQoL. The purpose of this study was to measure and explore the HRQoL among adolescents with overweight or obesity who had participated in an intervention study, Young & Active, with the aim of increasing physical activity (PA), reducing BMI and promoting HRQoL. METHODS:Mixed methods, with a convergent design, were used to investigate how different methodological approaches could expand our understanding of the adolescents' HRQoL. Quantitative post-intervention data on HRQoL were collected among the 84 intervention participants, aged 13-14?years, using the KIDSCREEN 52 questionnaire. The data were compared with a Norwegian reference population of 244 individuals, and analysed using a non-parametric Mann-Whitney test. Qualitative semi-structured interviews were conducted with 21 adolescents from the intervention. A directed approach to content analysis was adopted, using the ten sub-scales from KIDSCREEN 52. RESULTS:HRQoL in the intervention sample was significantly reduced on the sub-scale of physical well-being compared to the reference population. The reference population scored significantly lower than the intervention sample on the sub-scale of parent relation and home life. No significant differences were found on the other sub-scales. The qualitative data supported the quantitative findings on the sub-scale of physical well-being, but showed that perceptions of fitness, energy level or health could vary. Regarding parent relations, the interviewees extended this to include relationships to other family members as equally important. Most of the interviewees expressed a negative view of their bodies, but not their clothing or accessories. This may explain why no statistically significant differences were found on these aspects in the results from the KIDSCREEN questionnaire. CONCLUSION:The use of the KIDSCREEN 52 instrument gave important indications about the adolescents' HRQoL and need for additional follow up. The qualitative data provided an in-depth understanding that nuanced the findings and widened our knowledge of the adolescents HRQoL. Combining methods enabled a comprehensive approach to research on HRQoL.

SUBMITTER: Sundar TKB

PROVIDER: S-EPMC7260808 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature

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Health-related quality of life among 13-14 year old adolescents with overweight-a mixed methods approach.

Sundar T K B TKB Riiser K K Småstuen M C MC Opheim R R Løndal K K Glavin K K Helseth S S

Health and quality of life outcomes 20200529 1

<h4>Background</h4>Overweight and obesity are public concerns with risk of adverse health outcomes. Health-related quality of life (HRQoL) is lower in adolescents than children in general. An increase in body mass index (BMI) is associated with a decrease in HRQoL. The purpose of this study was to measure and explore the HRQoL among adolescents with overweight or obesity who had participated in an intervention study, Young & Active, with the aim of increasing physical activity (PA), reducing BMI ...[more]

PMID: 32471437

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Project description:BACKGROUND:Process evaluations are critical for interpreting and understanding outcome trial results. By understanding how interventions function across different settings, process evaluations have the capacity to inform future dissemination of interventions. The complexity of Get others Active (GoActive), a 12-week, school-based physical activity intervention implemented in eight schools, highlights the need to investigate how implementation is achieved across a variety of school settings. This paper describes the mixed methods GoActive process evaluation protocol that is embedded within the outcome evaluation. In this detailed process evaluation protocol, we describe the flexible and pragmatic methods that will be used for capturing the process evaluation data. METHODS:A mixed methods design will be used for the process evaluation, including quantitative data collected in both the control and intervention arms of the GoActive trial, and qualitative data collected in the intervention arm. Data collection methods will include purposively sampled, semi-structured interviews and focus group interviews, direct observation, and participant questionnaires (completed by students, teachers, older adolescent mentors, and local authority-funded facilitators). Data will be analysed thematically within and across datasets. Overall synthesis of findings will address the process of GoActive implementation, and through which this process affects outcomes, with careful attention to the context of the school environment. DISCUSSION:This process evaluation will explore the experience of participating in GoActive from the perspectives of key groups, providing a greater understanding of the acceptability and process of implementation of the intervention across the eight intervention schools. This will allow for appraisal of the intervention's conceptual base, inform potential dissemination, and help optimise post-trial sustainability. The process evaluation will also assist in contextualising the trial effectiveness results with respect to how the intervention may or may not have worked and, if it was found to be effective, what might be required for it to be sustained in the 'real world'. Furthermore, it will offer suggestions for the development and implementation of future initiatives to promote physical activity within schools. TRIAL REGISTRATION:ISRCTN, ISRCTN31583496 . Registered on 18 February 2014.

Project description:BackgroundThe aim of this study was to investigate bidirectional associations between (prolonged) sitting time and sleep duration in 12- to 14-year-old adolescents using a between-subjects and within-subjects analyses approach.MethodsObservational data were used from 108 adolescents (53% girls; mean age 12.9 (SD 0.7) years) from six schools in Flanders, Belgium. The Axivity AX3 triaxial accelerometer, worn on the thigh, was used to assess daily total sitting time and daily time spent in sedentary bouts of ≥30 min (as a proxy for prolonged sitting time). The Fitbit Charge 3 was used to assess nightly sleep duration. Both monitors were worn on schooldays only (ranging from 4 to 5 days). Linear mixed models were conducted to analyse the associations, resulting in four models. In each model, the independent variable (sleep duration, sitting time or prolonged sitting time) was included as within- as well as between-subjects factor.ResultsWithin-subjects analyses showed that when the adolescents sat more and when the adolescents spent more time sitting in bouts of ≥30 min than they usually did on a given day, they slept less during the following night (p = 0.01 and p = 0.05 (borderline significant), respectively). These associations were not significant in the other direction. Between-subjects analyses showed that adolescents who slept more on average, spent less time sitting (p = 0.006) and less time sitting in bouts of ≥30 min (p = 0.004) compared with adolescents who slept less on average. Conversely, adolescents who spent more time sitting on average and adolescents who spent more time sitting in bouts of ≥30 min on average, slept less (p = 0.02 and p = 0.003, respectively).ConclusionsBased on the between-subjects analyses, interventions focusing on reducing or regularly breaking up sitting time could improve adolescents' sleep duration on a population level, and vice versa. However, the within-subjects association was only found in one direction and suggests that to sleep sufficiently during the night, adolescents might limit and regularly break up their sitting time the preceding day.Trial registrationData have been used from our trial registered at ClinicalTrials.gov ( NCT04327414 ; registered on March 11, 2020).

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Dataset Information

Health-related quality of life among 13-14?year old adolescents with overweight-a mixed methods approach.

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Health-related quality of life among 13-14 year old adolescents with overweight-a mixed methods approach.

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