Gender, Ethnicity, Psychosocial Factors, and Quality of Life Among Severely Overweight, Treatment-Seeking Adolescents

Stern, Marilyn; Mazzeo, Suzanne E.; Gerke, Clarice K.; Porter, Jerlym S.; Bean, Melanie K.; Laver, Joseph

doi:10.1093/jpepsy/jsl013

Cited by 59 publications

(54 citation statements)

References 14 publications

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“…12,13 Judging from the findings of our pooled analyses and those of individual studies (Table 1), it appears likely that increasing weight status has a moderate to strong negative influence on HRQOL in pediatric populations, whereby decrements in HRQOL are evident as soon as BMI is above healthy normal limits 6,15,17,23 (Table 1). Even though some smaller US studies did not find a significant relationship between BMI and HRQOL, 13,28,29 this may have been attributable to insufficient power because of the small sample sizes and a narrow range of BMI scores. 13 When examining the subsets of HRQOL, studies consistently report that obese young people have impaired physical functioning compared with lean children.…”

Section: Discussionmentioning

confidence: 92%

“…In contrast, three smaller cross-sectional studies from the United States of America did not find a significant inverse relationship between BMI (as a continuous predictor) and overall HRQOL. 13,28,29 Physical functioning. When examining subsets of HRQOL, 12 studies report significantly lower physical functioning in obese compared with lean children 6,11,12,15,17,23,24,27,28,[30][31][32] ( Table 1).…”

Section: Resultsmentioning

confidence: 99%

“…Similarly, two independent studies found that treatment-seeking severely obese youths had a HRQOL similar to youths with cancer. 12,13 Comparisons of this nature can yield information that may be of particular interest to policy-makers and funding agencies. 14 Alternatively, condition-specific measures may be more sensitive to HRQOL limitations experienced as a result of a particular health condition, and may therefore be better suited to detecting specific treatment effects.…”

Section: Measuring Hrqolmentioning

confidence: 99%

“…In contrast, other studies have found no significant gender-effects on HRQOL. 11,13,25,30 Age. Two studies report finding no age-effects on HRQOL, 11,28 whereas other research has identified ageeffects.…”

Section: Treatment-seeking Versus Community Samplesmentioning

confidence: 99%

“…Social and emotional support may have a positive link to HRQOL. 26,28,34 Teasing appears to have a negative relationship with HRQOL, 13,29 with some evidence that selfesteem may mediate the effects of teasing. 13 Single-parent families may also have a negative association with pediatric HRQOL, 14,17 as may lower maternal education 6,14 and parental income.…”

Section: Treatment-seeking Versus Community Samplesmentioning

confidence: 99%

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Health-related quality of life in obese children and adolescents

et al. 2009

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Objective: This review addresses the effect of overweight and obese weight status on pediatric health-related quality of life (HRQOL). Method: Web of Science, Medline, CINAHL, Cochrane Library, EMBASE, AMED and PubMed were searched for peer-reviewed studies in English reporting HRQOL and weight status in youth (o21 years), published before March 2008. Results: Twenty-eight articles were identified. Regression of HRQOL against body mass index (BMI) using pooled data from 13 studies utilizing the Pediatric Quality of Life Inventory identified an inverse relationship between BMI and pediatric HRQOL (r ¼ À0.7, P ¼ 0.008), with impairments in physical and social functioning consistently reported. HRQOL seemed to improve with weight loss, but randomized controlled trials were few and lacked long-term follow-up. Conclusions: Little is known about the factors associated with reduced HRQOL among overweight or obese youth, although gender, age and obesity-related co-morbidities may play a role. Few studies have examined the differences in HRQOL between community and treatment-seeking samples. Pooled regressions suggest pediatric self-reported HRQOL can be predicted from parent proxy reports, although parents of obese youths tend to perceive worse HRQOL than children do about themselves. Thus, future research should include both pediatric and parent proxy perspectives.

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Section: Discussionmentioning

confidence: 92%

Section: Resultsmentioning

confidence: 99%

Section: Measuring Hrqolmentioning

confidence: 99%

Section: Treatment-seeking Versus Community Samplesmentioning

confidence: 99%

Section: Treatment-seeking Versus Community Samplesmentioning

confidence: 99%

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Health-related quality of life in obese children and adolescents

et al. 2009

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Preventing Childhood Obesity

Lydecker¹,

Cotter²,

Gow³

et al. 2015

Eating Disorders and Obesity

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Hello Ladies...Hope you are all travelling well and are dodging the dreaded flu...as it seems to be affecting more and more family day care homes. In this week's round up are some tips to refresh our minds on how to stay flu free. I must personally congratulate all the educators who have grabbed the new eylf with two hands and are giving it a real go. It is great to be on visits and to be asked questions about practices, reflection and documentation. I am proud to be a director of a FDC scheme with educators that are so enthusiastic and dedicated to providing the best service they can. Great work Ladies! I also want to remind educators that we have a fantastic toy Library which is full of great resources and toys for you to use with your FDC children. It's easy to be a member and we are adding to it all the time-so get borrowing! Talk more soon; Shanyn

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Edmonton Obesity Staging System for Pediatrics, quality of life and fitness in adolescents with obesity

Kakon

Hadjiyannakis

Sigal

et al. 2019

Obesity Science & Practice

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BackgroundBody mass index (BMI) is often used to diagnose obesity in childhood and adolescence but has limitations as an index of obesity-related morbidity. The Edmonton Obesity Staging System for Pediatrics (EOSS-P) is a clinical staging system that uses weight-related comorbidities to determine health risk in paediatric populations. The purpose of this study was to investigate the associations of EOSS-P and BMI percentile with quality of life (QOL), cardiorespiratory fitness (CRF) and muscular strength in adolescents with obesity. MethodsParticipants were enrolled at baseline in the Healthy Eating, Aerobic and Resistance Training in Youth trial (BMI = 34.6 ± 4.5 kg m À2 , age = 15.6 ± 1.4 years, N = 299). QOL, CRF (peak oxygen uptake, VO 2peak ) and muscular strength were assessed by the Pediatric QOL Inventory (PedsQL), indirect calorimetry during a maximal treadmill test and eight-repetition maximum bench and leg press tests, respectively. Participants were staged from 0 to 3 (absent to severe health risk) according to EOSS-P. Associations were assessed using age-adjusted and sex-adjusted general linear models. ResultsQuality of life decreased with increasing EOSS-P stages (p < 0.001). QOL was 75.7 ± 11.4 in stage 0/1, 69.1 ± 13.1 in stage 2 and 55.4 ± 13.0 in stage 3. BMI percentile was associated with VO 2peak (β = -0.044 mlO 2 kg À1 min À1 per unit increase in BMI percentile, p < 0.001), bench press (β = 0.832 kg per unit increase in BMI percentile, p = 0.029) and leg press (β = 3.992 kg, p = 0.003). There were no significant differences in treadmill time or VO 2peak between EOSS-P stages (p > 0.05). ConclusionAs EOSS-P stages increase, QOL decreases. BMI percentile was negatively associated with CRF and positively associated with muscular strength.

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Gender, Ethnicity, Psychosocial Factors, and Quality of Life Among Severely Overweight, Treatment-Seeking Adolescents

Cited by 59 publications

References 14 publications

Health-related quality of life in obese children and adolescents

Health-related quality of life in obese children and adolescents

Preventing Childhood Obesity

Edmonton Obesity Staging System for Pediatrics, quality of life and fitness in adolescents with obesity

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