Examining General Versus Condition-Specific Health-Related Quality of Life Across Weight Categories in an Adolescent Sample

Dalton, Autumn G.; Smith, Courtney D.; Dalton, William T.; Slawson, Deborah

doi:10.1016/j.pedhc.2015.04.001

Cited by 5 publications

(7 citation statements)

References 36 publications

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“…Weight status was proposed as a separate moderator due to the large proportion of the literature pertaining to HRQOL and physical activity in youth who are overweight or obese. Similar to other chronic disease populations, youth with overweight/obesity consistently report lower global levels of HRQOL than healthy-weight peers (Dalton et al, 2015;Herman et al, 2014;Lacy et al, 2012;Morales et al, 2013;Swallen et al, 2005;Tsiros et al, 2009) and significant improvements in HRQOL following physical activity interventions (Finne et al, 2013;Knopfli et al, 2008). However, children with overweight/obesity may experience additional stressors (e.g.…”

Section: Moderatorsmentioning

confidence: 87%

“…Sex. Based on conflicting research about the impact of gender on both physical activity and HRQOL (Dalton et al, 2015;Ekelund et al, 2012;Herman et al, 2014;Lacy et al, 2012;Swallen et al, 2005;Kantor et al, 2015), sex was proposed as another potential moderator.…”

Section: Moderatorsmentioning

confidence: 99%

“…Typical patterns of physical activity may vary across sex, with boys engaging in significantly more MVPA than girls (Ekelund et al, 2012). Differences in amount of physical activity may relate to findings that both obese and healthy weight girls reported poorer health outcomes and lower HRQOL than boys in some studies (Dalton et al, 2015;Lacy et al, 2012;Swallen et al, 2005). However, girls reported higher general, physical, emotional, and social HRQOL in at least one study (Kantor et al, 2015).…”

Section: Moderatorsmentioning

confidence: 99%

“…Four a priori moderators were examined: chronic disease status, weight status, sex, and study rigor. Children with chronic health disorders and overweight or obesity typically report lower HRQOL than healthy controls (Dalton, Smith, Dalton, & Slawson, 2015; Herman et al, 2014; Lacy et al, 2012) and were predicted to be more positively impacted by minor returns to normalcy, such as engaging in small increases in physical activity (Speyer, Herbinet, Vuillemin, Briançon, & Chastagner, 2010). Weight status was tested as a separate moderator because of the extant literature on HRQOL and physical activity in youth who are overweight or obese, and findings that weight status may explain up to a third of the variance in HRQOL postexercise intervention (de Beer et al, 2007).…”

mentioning

confidence: 99%

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Physical activity and health-related quality of life in children and adolescents: A systematic review and meta-analysis.

Marker¹,

Steele²,

Noser³

2018

Health Psychology

181

131

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Physical activity is associated with broad physical and psychological benefits in children and adolescents. One construct which may universally characterize functioning across various pediatric populations is health-related quality of life (HRQOL). A number of studies have found positive associations between physical activity and HRQOL; however, to date no systematic review and meta-analysis of physical activity and HRQOL has successfully quantified effects in children and adolescents. A systematic search of PubMed, PsycINFO, and ProQuest Dissertation Abstracts identified 1081 relevant, non-duplicate articles. Out of these possible articles, 33 studies, including both descriptive and pre-post intervention designs, met inclusion criteria and were included in effect size analyses. In descriptive studies, there was a small, positive effect of physical activity on HRQOL based on child-reports (Hedge's g = .302, p < .001) and a negligible effect based on parent-proxy reports (Hedge's g =.115, p =.101). In intervention studies, there was a small, positive effect of physical activity intervention on HRQOL based on child-reports (Hedge's g = .279, p = .014) and a medium, positive effect based on parent-proxy reports (Hedge's g = .522, p = .012). However, effects are attenuated by removal of a single intervention study. Overall, these findings supported the primary hypothesis that increased levels of physical activity would be related to better HRQOL in youth, although the magnitude of these effects did not represent a minimal clinically important difference (MCID) in most studies. Hypothesized moderators, including chronic disease status, weight status, sex, and study rigor, did not significantly moderate the relationship between physical activity and HRQOL. Exploratory analyses did not find intervention contact hours or age to moderate the effect of exercise on HRQOL. Future studies are needed to assess HRQOL in youth before and after high-quality exercise interventions to quantify the type, frequency, iv duration, and intensity of physical activity needed to change HRQOL to a clinically meaningful level. Although effects were small and analyses were limited, this study represents the first meta-analysis of physical activity and HRQOL across pediatric populations and may serve as a guide for future studies.

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Section: Moderatorsmentioning

confidence: 87%

Section: Moderatorsmentioning

confidence: 99%

Section: Moderatorsmentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

Physical activity and health-related quality of life in children and adolescents: A systematic review and meta-analysis.

Marker¹,

Steele²,

Noser³

2018

Health Psychology

181

131

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“…Although these studies unanimously concluded that girls report lower scores than boys, their results varied with regard to the specific subscales. Some studies reported sex differences in Emotional Functioning only [ 14 , 25 ], whereas others showed differences on a larger variety of subscales and on the Total Score [ 23 , 24 , 26 – 28 ].…”

Section: Discussionmentioning

confidence: 99%

Sex differences in children's health status as measured by the Pediatric Quality of Life Inventory (PedsQL)™: cross-sectional findings from a large school-based sample in the Netherlands

et al. 2021

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Background Previous research has shown that female adolescents and adults report lower health status than their male peers. Possibly, this discrepancy already develops during childhood. We collected sex-specific data with the Pediatric Quality of Life Inventory (PedsQL) in a large school-based sample. Methods The online version of the PedsQL was administered to healthy Dutch children aged 5–7 years (parent proxy-report), 8–12 years (parent proxy-report and child self-report), and 13–17 years (parent proxy-report and child self-report), recruited through regular primary and secondary schools. Sex differences were assessed using t-tests or Mann–Whitney U-tests. Wilcoxon signed-rank tests and intraclass correlation coefficients served to compare parent proxy-reports with child self-reports. Multivariable linear regression analyses were used to assess the associations of sex of the child, age, and parental educational level with PedsQL scores. Results Eight hundred eighty-two parents and five hundred eighty one children were recruited from 15 different schools in the Netherlands. Parents of 8-to-12-year-olds reported higher scores on School Functioning for girls than for boys (mean difference [MD]: 6.56, p < 0.001). Parents of 13-to-17-year-olds reported lower scores on Physical and Emotional Functioning for girls than for boys (MDs: 2.14 and 5.79, p = 0.014 and p < 0.001, respectively). Girls aged 8–12 years reported lower scores than boys in this age group on Physical Functioning (MD: 3.09, p = 0.005). Girls aged 13–17 years reported lower scores than boys in this age group on Physical Functioning (MD: 3.67, p < 0.001), Emotional Functioning (MD: 8.11, p < 0.001), and the Total Score (MD 3.26, p = 0.004). No sex differences were found in children aged 5–7 years. Agreement between child self-reports and parent proxy-reports was poor to moderate. Conclusions Girls generally had lower PedsQL scores than boys, both in parent proxy-reports and in child self-reports. We recommend to apply sex-specific data when assessing health status using the PedsQL.

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Change in health-related quality of life in the context of pediatric obesity interventions: A meta-analytic review.

Steele¹,

Gayes²,

Dalton³

et al. 2016

Health Psychology

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Objective: To quantitatively characterize change in health-related quality of life (HRQoL) in the context of behavioral (n= 16), surgical (n=5), and pharmacological (n=1) interventions for pediatric overweight and obesity. A secondary goal was to examine the relationship between change in HRQoL and change in weight status (ΔBMI) by treatment type. The amount of weight loss necessary to observe a minimally clinically important difference (MCID) in HRQoL was determined. Methods: Data were gathered from studies reporting on weight change and ΔHRQoL over the course of obesity interventions (N = 22) in youths (N=1,332) with average ages between 7.4 and 16.5 years (M = 12.2). An overall effect size was calculated for ΔHRQoL. Moderation analyses were conducted using ANOVA and weighted regression. MCID analyses were conducted by converting HRQoL data to SEM units. Results: The overall effect size for ΔHRQoL in the context of pediatric obesity interventions was medium (g = 0.51). A significant linear relationship was detected between ΔBMI and ΔHRQoL (R 2 = 0.87). This relationship was moderated by treatment type, with medical (i.e., surgical) interventions demonstrating a stronger relationship. Results indicated that it takes a change of 0.998 BMI units to detect true change in HRQoL. Conclusions: This study provides the first known quantitative examination of changes in HRQoL associated with weight loss in pediatric interventions. Medical interventions appear to offer a more substantial increase in HRQoL per unit of BMI change. These results offer a concrete weight loss goal for noticing positive effects in daily life activities.

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Examining General Versus Condition-Specific Health-Related Quality of Life Across Weight Categories in an Adolescent Sample

Cited by 5 publications

References 36 publications

Physical activity and health-related quality of life in children and adolescents: A systematic review and meta-analysis.

Physical activity and health-related quality of life in children and adolescents: A systematic review and meta-analysis.

Sex differences in children's health status as measured by the Pediatric Quality of Life Inventory (PedsQL)™: cross-sectional findings from a large school-based sample in the Netherlands

Change in health-related quality of life in the context of pediatric obesity interventions: A meta-analytic review.

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