Changes in body mass index and health related quality of life from childhood to adolescence

Reliability, acceptability, validity and responsiveness of the CHU9D and PedsQL in the measurement of quality of life in children and adolescents with overweight and obesity

BACKGROUND

The Paediatric Quality of life Inventory (PedsQL^TM) Generic Core Scales and the Child Health Utilities 9 Dimensions (CHU9D) are two paediatric health-related quality of life (HRQoL) measures commonly used in overweight and obesity research. However, no studies have comprehensively established the psychometric properties of these instruments in the context of paediatric overweight and obesity. The aim of this study was to assess the reliability, acceptability, validity and responsiveness of the PedsQL and the CHU9D in the measurement of HRQoL among children and adolescents living with overweight and obesity.

SUBJECTS/METHODS

Subjects were 6544 child participants of the Longitudinal Study of Australian Children, with up to 3 repeated measures of PedsQL and CHU9D and aged between 10 and 17 years. Weight and height were measured objectively by trained operators, and weight status determined using World Health Organisation growth standards. We examined reliability, acceptability, known group and convergent validity and responsiveness, using recognised methods.

RESULTS

Both PedsQL and CHU9D demonstrated good internal consistency reliability, and high acceptability. Neither instrument showed strong convergent validity, but PedsQL appears to be superior to the CHU9D in known groups validity and responsiveness. Compared with healthy weight, mean (95%CI) differences in PedsQL scores for children with obesity were: boys -5.6 (-6.2, -4.4); girls -6.7 (-8.1, -5.4) and differences in CHU9D utility were: boys -0.02 (-0.034, -0.006); girls -0.035 (-0.054, -0.015). Differences in scores for overweight compared with healthy weight were: PedsQL boys -2.2 (-3.0, -1.4) and girls -1.3 (-2.0, -0.6) and CHU9D boys: no significant difference; girls -0.014 (-0.026, -0.003).

CONCLUSION

PedsQL and CHU9D overall demonstrated good psychometric properties, supporting their use in measuring HRQoL in paediatric overweight and obesity. CHU9D had poorer responsiveness and did not discriminate between overweight and healthy weight in boys, which may limit its use in economic evaluation.

Effect of high-intensity interval training in adolescents with asthma: The eXercise for Asthma with Commando Joe's® (X4ACJ) trial

BACKGROUND

Higher levels of cardiorespiratory fitness are associated with reduced asthma severity and increased quality of life in those with asthma. Therefore, the purpose of this study was to evaluate the effectiveness of a 6-month high-intensity interval training (HIIT) intervention in adolescents with and without asthma.

METHODS

A total of 616 adolescents (334 boys; 13.0 ± 1.1 years, 1.57 ± 0.10 m, 52.6 ± 12.9 kg, mean ± SD), including 155 with asthma (78 boys), were recruited as part of a randomized controlled trial from 5 schools (4 control and 1 intervention). The 221 intervention participants (116 boys; 47 asthma) completed 6 months of school-based HIIT (30 min, 3 times per week, 10-30 s bouts at >90% age-predicted maximum heart rate with equal rest). At baseline, mid-intervention, post-intervention, and 3-month follow-up, measurements for 20-m shuttle run, body mass index (BMI), lung function, Pediatric Quality of Life Inventory, Paediatric Asthma Quality of Life Questionnaire, and Asthma Control Questionnaire were collected. Additionally, 69 adolescents (39 boys (of the 36 with asthma there were 21 boys)) also completed an incremental ramp test. For analysis, each group's data (intervention and control) were divided into those with and without asthma.

RESULTS

Participants with asthma did not differ from their peers in any parameter of aerobic fitness, at any time-point, but were characterized by a greater BMI. The intervention elicited a significant improvement in maximal aerobic fitness but no change in sub-maximal parameters of aerobic fitness, lung function, or quality of life irrespective of asthma status. Those in the intervention group maintained their BMI, whereas BMI significantly increased in the control group throughout the 6-month period.

CONCLUSION

HIIT represents an effective tool for improving aerobic fitness and maintaining BMI in adolescents, irrespective of asthma status. HIIT was well-tolerated by those with asthma, who evidenced a similar aerobic fitness to their healthy peers and responded equally well to a HIIT program.

A bi-directional association between weight change and health-related quality of life: evidence from the 11-year follow-up of 9916 community-dwelling adults

PURPOSE

To examine the prospective associations between body mass index (BMI) and health-related quality of life (HRQoL).

METHODS

Data were extracted from a longitudinal, nationally representative sample of 9916 men and women aged 18 years and over who were followed annually between 2006 and 2016 in the Household, Income and Labour Dynamics in Australia (HILDA) survey. HRQoL was assessed using the self-administered SF-36 questionnaire annually between 2006 (baseline) and 2016. BMI was calculated from self-reported height and weight and was classified into the following four categories of baseline BMI: underweight (< 18.5 kg/m²), normal weight (18.5-24.9 kg/m²), overweight (25-29.9 kg/m²) and obese (≥ 30 kg/m²). We used linear mixed-effects regression models to investigate the associations between change in BMI (kg/m²) and concurrent changes in HRQoL scores over 11 years.

RESULTS

BMI gain was associated with deterioration of Physical Component Summary (PCS) (P < 0.001), but not with change in Mental component summary (MCS) over the 11-year period. BMI gain was inversely associated (P < 0.001) with five of the eight HRQoL domains (physical functioning, role physical, bodily pain, general health and vitality) with a significant graded association according to baseline BMI category. Over the 11-year study period, every unit increase in PCS was associated with a decrease of 0.02 (P < 0.001), 0.03 (P < 0.001) and 0.04 (P < 0.001) BMI units per year among participants who were normal, overweight and obese at baseline, respectively. Five of the eight domains of HRQoL (physical functioning, role physical, bodily pain, general health and vitality) were inversely associated with BMI (P < 0.001) with a significant graded association according to baseline BMI category.

CONCLUSIONS

Weight gain was not only associated with deterioration of HRQoL, and vice versa. The bi-directional association was stronger for physical than mental domains of HRQoL.

Mental health of both child and parents plays a larger role in the health-related quality of life of obese and overweight children

Aims A decrease in health-related quality of life (HRQOL) measures among obese (OB) and overweight (OW) children has been shown in several studies, but knowledge about the variables affecting HRQOL impairments is missing. The aim of this study was to evaluate the relationship between HRQOL and sociodemographic characteristics, anthropometric measurements, metabolic parameters, mental symptoms and parental attitudes in a sample of OB/OW children. Methods Eighty-six OB/OW children, aged between 9 and 17 years, participated in the study. We performed sociodemographic questioning, anthropometric examinations and laboratory evaluations of the participants. HRQOL was assessed using the Pediatric Quality-of-Life Inventory (PedsQL), and levels of anxiety and depressive symptoms were measured using the Screen for Child Anxiety-Related Disorders (SCARED) questionnaire and the Children's Depression Inventory (CDI), respectively. Parental attitudes were assessed with the Parental Attitude Research Instrument (PARI) questionnaire. Results A statistically significant relationship was found between total scores of CDI and SCARED answered by children and the total and subscale scores of PedsQL. Scores of total quality of life subscale, physical functionality and emotional functionality subscales were significantly lower in children with a family history of mental illness. No relationship was found between PedsQL subscales, anthropometric and metabolic parameters. Conclusions Emotional problems and parental psychological distress are important factors in models of HRQOL in the OB/OW pediatric population.

Parental perception of child health status and quality of life associated with overweight and obesity in early childhood

PURPOSE

The aim was to assess perceived health status and health-related quality of life (HRQL) according to persistence of and variation in weight status among children from the age of 4 to 6 years.

METHODS

Longitudinal study of 1883 participants in the ELOIN cohort (Madrid Region, Spain), with physical examination at ages 4 and 6 years. Perceived health status and HRQL were assessed using parent-reported Kidscreen-10 scores, with excess weight being defined on the basis of body mass index (BMI) using the WHO reference tables (z-BMI > 1 standard deviation), and abdominal obesity being defined on the basis of waist circumference (percentile ≥ 90) using the tables proposed by Fernández et al. Variation in these two parameters at age 6 years was associated with incident cases of suboptimal health by logistic regression, and with HRQL by linear regression.

RESULTS

Compared to children without excess weight or abdominal obesity in both periods, incident cases of excess weight or abdominal obesity had odds ratios (ORs) of suboptimal health of 2.41 (95% CI 1.21 to 4.80) and 2.99 (95% CI 1.31 to 6.84) respectively. In terms of HRQL, children with remission of excess weight had a higher Kidscreen-10 score: β coefficient = 2.02 (95% CI 0.36 to 3.68), whereas new cases of abdominal obesity had a lower Kidscreen-10 score: β = - 2.22 (95% CI - 4.40 to - 0.03).

CONCLUSIONS

Incident cases of excess weight and abdominal obesity had a higher risk of suboptimal health. Incident cases of abdominal obesity were also associated with worse HRQL.

Weight Status, Physical Fitness, and Health-Related Quality of Life among Chinese Adolescents: A Cross-Sectional Study

PURPOSE

The impact of physical fitness (PF) on adolescents' health-related quality of life (HRQOL) is an important health issue in China. The purpose of this study was to identify whether body mass index (BMI), cardiorespiratory fitness (CRF), and musculoskeletal fitness (MSF) influences HRQOL among Chinese adolescents.

METHOD

The participants were 10,007 students (boys = 5276, 14.14 years ± 1.79; girls = 4829, 14.22 years ± 1.81) who were randomly selected from 30 secondary schools in Shandong, China. BMI, CRF, MSF, and HRQOL were measured and analyzed using ANCOVA and multiple regression.

RESULTS

BMI and physical fitness variables were partially associated with HRQOL in Chinese adolescents. ANCOVA showed a significant difference among BMI categories in terms of physical sense (PS), living convenience, and self-satisfaction (SS) for boys, but this difference was only seen with social activity opportunity (SAO) for girls. Multiple regression found that BMI was significantly associated with SAO. For boys, CRF was associated with the teacher and student relationship and SS, whereas MSF was only associated with PS. For girls, CRF was significantly linked with the parent and children relationship, learning capacity, and attitudes and self-perception (S-P), while MSF was associated with S-P.

CONCLUSION

Enforcing physical activity and enhancing PF will be a crucial pathway in improving adolescents' HRQOL in China.

Psychosocial measures and weight change in a clinical paediatric population with obesity

PURPOSE

Poor quality of life has been shown to occur in youth with obesity. This study aimed to assess associations between health-related quality of life, general mental health and general psychological distress measures, collectively termed psychosocial health questionnaires (PSH), with weight outcomes in a busy paediatric weight management service.

METHODS

A cross-sectional longitudinal clinical cohort, 'Childhood Overweight BioRepository of Australia (COBRA)', was used (n = 250, median age 11, range 2-18 year, mean BMI z-score 2.5 ± 0.2). Clinical data were collected and HRQOL questionnaires; Pediatric Quality of Life 4.0 (PedsQL), 'Sizing Me/Them Up' (SMU/STU), and psychological well-being questionnaires; strengths and difficulties questionnaire (SDQ) and Kessler 10 (K10) were completed by the child and primary caregiver. PSH results were compared to age- and sex-adjusted BMI z-score at baseline and follow-up. Direct logistic regression modelling was performed to assess the impact of PSH factors on the likelihood of successful weight reduction over a period of ≥ 12 months.

RESULTS

Mean self-report PSH scores were: 68.0 ± 15.28 (PedsQL, range 0-100), 64.8 ± 15.8, (SMU, range 0-100), 17.3 ± 4.4 (SDQ, range 0-40) and 20.0 ± 7.7 (K10, range 0-50). A significant negative correlation was observed between PSH scores and childhood obesity (baseline BMI z-scores (p < 0.01)). No correlations were observed between psychological well-being measures and BMI z-scores. Higher subscale scores of the PedsQL and SDQ, which measure impaired psychosocial health and more difficulties with hyperactivity and inattention, significantly predict weight loss in children with obesity after 12 months.

CONCLUSION

PSH questionnaires may be useful in identifying individuals who require additional support to achieve weight loss goals in a tertiary weight management service.

Associations of mental health with cardiovascular risk phenotypes and adiposity in adolescence: A cross-sectional community-based study

AIM

Cardiovascular disease and mental illness commonly co-occur in later life, but it is unknown how early these associations arise. We aimed to determine the extent to which: (i) childhood mental health is associated with functional and structural cardiovascular risk phenotypes and adiposity in late childhood/adolescence, and (ii) associations between mental health and cardiovascular phenotypes may be explained by differential body mass index.

METHODS

This cross-sectional study drew on three longitudinal community-based cohort studies (two enriched for overweight/obesity) in metropolitan Melbourne, Australia, with harmonized follow-up in 2014. Mental health exposures included emotional and behavioural problems (Strength and Difficulties Questionnaire) and psychosocial health and general well-being (Pediatric Quality of Life Inventory (PedsQL)), which were assessed by self- and parent-proxy report. Cardiovascular risk phenotypes and adiposity measures included mean arterial pressure, pulse wave velocity, carotid artery intima-media thickness, retinal arterioleto-venule ratio, waist circumference, % body fat, and BMI z-score. We used multivariable linear regression models, adjusting for age, sex and neighbourhood disadvantage, to examine associations.

RESULTS

Of the 364 participants (mean age 14.7, standard deviation 2.0, years), 30% were overweight and 16% obese. All adiposity indicators were positively associated with higher behavioural/emotional problems and poorer psychosocial health and negatively associated with better ratings of positive general well-being, as reported by parents and children (all P ≤ 0.03). However, there was little evidence that cardiovascular functional or structural phenotypes varied by mental health.

CONCLUSIONS

By late childhood/adolescence, mental health is strongly associated with adiposity but not with cardiovascular structure or function. This suggests that the known relationship between these constructs may not develop until early or mid-adulthood.

Associations between health-related quality of life and body mass index in Portuguese adolescents: LabMed physical activity study

Background In adolescence there are several biological and physiological changes associated with overweight and obesity. Objective The purpose of this study was to analyze the associations between health-related quality of life (HRQoL) and body mass index (BMI) in adolescents. Methods This is a cross-sectional analysis of 957 Portuguese adolescents (446 girls and 511 boys) aged 12-18 years. A series of variables were collected: (a) HRQoL was assessed using the KIDSCREEN-10 questionnaire; (b) socioeconomic status (SES) was measured using the Family Affluence Scale; (c) body composition (weigh, height) were measured and BMI was calculated and, (d) pubertal stage was assessed with Tanner stages; (e) the 20-m shuttle-run was used to estimate cardiorespiratory fitness. Regression models and mediation analysis were performed to assess the association between HRQoL and BMI. Results HRQoL was significantly higher in boys than girls (p < 0.05). The prevalence of overweight and obesity was 23.5% and 6.7% in girls, and 21.3% and 5% in boys, respectively. HRQoL was inversely and significantly associated with BMI in boys (B = -0.130; p < 0.05) and girls (B = -0.148; p < 0.05) after controlling for age, pubertal stage and SES. Cardiorespiratory fitness act as a full mediator variable on the relationship between BMI and HRQoL in adolescents (p < 0.05). Conclusion Our results suggest that cardiorespiratory fitness acted as a full mediator in the relationship between BMI and HRQoL, in adolescents. Public health policies targeting a wealthy weight and an improved physical fitness level could be a strategy of particular interest for improving the HRQoL of adolescents.

Psychosocial Quality-of-Life, Lifestyle and Adiposity: A Longitudinal Study in Pre-schoolers (Ballabeina Study)

PURPOSE

In obesity prevention, understanding psychosocial influences in early life is pivotal. Reviews reported contradictory results and a lack of longitudinal studies focusing on underlying lifestyle factors. This study tested whether psychosocial Quality-Of-Life (QOL) was associated with pre-schoolers' lifestyle and adiposity changes over one school year and whether lifestyle moderated the latter. It was hypothesised that QOL might not impact adiposity in everybody but that this might depend on preceding lifestyle.

METHOD

Longitudinal data from 291 Swiss pre-schoolers (initially 3.9-6.3 years) was available. The following measures were used in longitudinal regressions: psychosocial QOL by PedsQL, adiposity (BMI z-score, waist, fat%), diet (food frequency), sedentary time and accelerometer-based activity.

RESULTS

Concerning lifestyle, low psychosocial QOL was only related to unfavourable changes in diet (less fruit β = 0.21 and more fat intake β = -0.28) and lower physical activity (β = 0.21). Longitudinal QOL-adiposity relations appeared only after moderation by lifestyle factors (beta-range 0.13-0.67). Low psychosocial QOL was associated with increased adiposity in children with an unhealthy diet intake or high sedentary time. By contrast, low psychosocial QOL was associated with decreasing adiposity in high fruit consumers or more physically active pre-schoolers.

CONCLUSION

Results emphasise the need for testing moderation in the QOL-adiposity relation. An unhealthy diet can be a vulnerability factor and high physical activity a protective factor in QOL-related adiposity. Consequently, QOL and lifestyle should be targeted concurrently in multi-factorial obesity prevention. The environment should be an 'activity encouraging, healthy food zone' that minimises opportunities for stress-induced eating. In addition, appropriate stress coping skills should be acquired.

Association of obesity and health related quality of life in Iranian children and adolescents: the Weight Disorders Survey of the CASPIAN-IV study

BACKGROUND

Considering the role of different ethnical, cultural and geographical factors in health related quality of life (HRQOL) as well as the perception of different populations regarding various weight disorders, we aimed to evaluate the association between body mass index (BMI) and HRQOL in Iranian children and adolescents.

METHODS

This cross-sectional study was part of the Weight Disorders Survey of the CASPIAN-IV study. During this study, students aged 6-18 years from urban and rural areas of 30 provinces of Iran were selected. HRQOL of the students was evaluated by using the Persian version of the Pediatric Quality of Life inventory (PedsQL™ 4.0™ 4.0) Generic Core Scales. The mean of total HRQOL and its subscales were compared in underweight, normal weight, overweight and obese students.

RESULTS

The mean of total HRQOL, physical functioning and psychological functioning scores in the total population were 83.31, 84.25 and 82.79, respectively. The mean of the total HRQOL score and the psychosocial score were significantly lower in underweight students aged 6-12 years than in other groups (p<0.05). The mean of the total HRQOL score and psychosocial score were significantly lower in obese students aged 13-18 years than in other groups (p<0.05). Overweight and obesity was negatively associated with total HRQOL, psychosocial and school functioning subscales (p<0.05). There was a significant negative association between emotional functioning and obesity (p<0.05).

CONCLUSIONS

The findings or this study support the importance of personal perception and cultural norm roles in HRQOL. Given the association between weight disorders and psychosocial health, it is suggested that social and cultural factors have a more crucial role in the HRQOL of children and adolescents.

Bidirectional associations between psychosocial well-being and body mass index in European children: longitudinal findings from the IDEFICS study

Background

The negative impact of childhood overweight on psychosocial well-being has been demonstrated in a number of studies. There is also evidence that psychosocial well-being may influence future overweight. We examined the bidirectional association between childhood overweight and psychosocial well-being in children from a large European cohort.

The dual aim was to investigate the chronology of associations between overweight and psychosocial health indicators and the extent to which these associations may be explained by parental education.

Methods

Participants from the IDEFICS study were recruited from eight countries between September 2007 and June 2008 when the children were aged 2 to 9.9 years old. Children and families provided data on lifestyle, psychosocial well-being, and measured anthropometry at baseline and at follow-up 2 years later. This study includes children with weight, height, and psychosocial well-being measurements at both time points (n = 7,831). Psychosocial well-being was measured by the KINDL® and Strengths and Difficulties Questionnaire respectively. The first instrument measures health-related quality of life including emotional well-being, self-esteem, parent relations and social relations while the second measures well-being based on emotional symptoms, conduct problems and peer-related problems. Logistic regression was used for modeling longitudinal associations.

Results

Children who were overweight at baseline had increased risk of poor health-related quality of life (odds ratio (OR) = 1.23; 95 % confidence interval (CI):1.03–1.48) measured 2 years later; this association was unidirectional. In contrast to health-related quality of life, poor well-being at baseline was associated with increased risk of overweight (OR = 1.39; 95 % CI:1.03–1.86) at 2 year follow-up; this association was also only observed in one direction. Adjustment for parental education did not change our findings.

Conclusion

Our findings indicate that the association between overweight and psychosocial well-being may be bidirectional but varies by assessment measures. Future research should further investigate which aspects of psychosocial well-being are most likely to precede overweight and which are more likely to be consequences of overweight.

Child Obesity and Mental Health: A Complex Interaction

Prevalence rates of childhood obesity have risen steeply over the last 3 decades. Given the increased national focus, the frequency of this clinical problem, and the multiple mental health factors that coexist with it, make obesity a public health concern. The complex relationships between mental health and obesity serve to potentiate the severity and interdependency of each. The purpose of this review is to create a contextual connection for the 2 conditions as outlined by the research literature and consider treatment options that affect both health problems.

Influence of adiposity on health-related quality of life in the Gateshead Millennium Study cohort: longitudinal study at 12 years

OBJECTIVE

To examine whether adiposity is associated with an impaired quality of life (an individual's perception of their life) in general population samples in early adolescence.

DESIGN AND METHODS

Relationships between a direct measure of adiposity (fat mass index from bioimpedance) and a proxy measure (waist circumference), and a generic (KIDSCREEN-27) and a weight-specific measure of health-related quality of life (HRQoL, Impact of Weight on Quality of Life-Kids (IWQOL-Kids)) were examined in a longitudinal population-based cohort of young adolescents aged 12 years (n=519). The effects of change in adiposity over time (from 7 years and 9 years) were also examined (n=331-445 in longitudinal analyses).

RESULTS

Impairment in HRQoL was associated with current adiposity but it was not predicted by earlier adiposity. At 12 years, higher adiposity was associated with lower Physical Well-Being on KIDSCREEN-27, and with lower Total Scores on the weight-specific IWQOL-Kids instrument, the latter particularly in girls.

CONCLUSIONS

Health and education professionals need to be aware in their clinical practice that higher adiposity impairs HRQoL in general populations of young adolescents. Further research would be useful to determine whether or not children of primary school age self-reporting lower HRQoL are more likely to develop higher adiposity later in adolescence or early adulthood.

The effect of gender and age on the association between weight status and health-related quality of life in Australian adolescents

Background

Evidence suggests an inverse relationship between excess weight and health-related quality of life (HRQoL) in children and adolescents, however little is known about whether this association is moderated by variables such as gender and age. This study aimed to investigate these relationships.

Methods

Participants were secondary school students (818 females, 52% and 765 males, 48%) from 23 secondary schools in Victoria, Australia. Age ranged from 11.0 to 19.6 years (mean age 14.5 years). The adolescent version of the Assessment of Quality of Life (AQoL) Instrument (AQoL-6D) which is a self-reported measure of adolescent quality of life was administered and anthropometric measures (height and weight) were taken. Assessment of weight status was categorized using the Body Mass Index (BMI).

Results

HRQoL was associated with gender and age, but not weight status or socio-economic status; with males and younger adolescents having higher HRQoL scores than their female and older adolescent counterparts (both p < 0.05). There was also a significant interaction of weight status by gender whereby overweight females had poorer HRQoL (-.06 units) relative to healthy weight females (p < 0.05).

Conclusions

This study contributes to the evidence base around factors associated with adolescent HRQoL and reveals that gender and age are important correlates of HRQoL in an Australian adolescent population. This knowledge is critical to inform the design of health promotion initiatives so they can be tailored to be gender- and age-specific.

Trial registration

Australian Clinical Trials Registration Number 12609000892213.

Health-related quality of life and body mass index among US adolescents

PURPOSE

To examine the magnitude of differences in health-related quality of life (HRQOL) by body mass index (BMI) in a population-based sample of United States adolescents overall and by sex, and to provide national prevalence estimates of reported HRQOL outcomes for not only obese and overweight but also underweight adolescents.

METHODS

From the 2001 through 2010 cross-sectional National Health and Nutrition Examination Surveys, we estimated the percentages of four HRQOL outcomes-self-rated health, physically unhealthy days, mentally unhealthy days, and activity limitation days-in four BMI categories-obese, overweight, normal weight, and underweight-of approximately 6,000 US adolescents aged 12-17 years. We also estimated the percentages for boys and girls separately.

RESULTS

Substantial gaps in self-rated health exist between normal-weight adolescents and those who are obese and overweight, but not underweight. Eighteen percent (95% CI 15-22) of obese adolescents reported fair or poor health compared to only 5% (95% CI 4-7) of normal-weight adolescents. Thirty-seven percent (95% CI 33-42) of obese adolescents reported excellent or very good health, compared to 65% (94% CI 63-67) of normal-weight adolescents. However, all BMI groups reported similar percentages of physically unhealthy days, mentally unhealthy days, and activity limitation days. The associations between HRQOL and BMI groups did not vary by sex. Boys generally reported significantly better self-rated health and mental health than girls. Specifically, obese boys reported better self-rated health, mental health, and fewer activity limitation days than obese girls.

CONCLUSIONS

Substantially, significant differences in some domains of HRQOL are found between above normal-weight and normal-weight US adolescents. This relationship between BMI and HRQOL is robust and observed among both boys and girls.

Preschoolers' parent-rated health disparities are strongly associated with measures of adiposity in the Lifeways cohort study children

OBJECTIVE

To examine the relationship between lifecourse factors from preschoolers' microecosystem and their parent-reported (mother-reported) health (PRH), following them prospectively from preconception to age 5 years. To investigate if preschoolers' body mass index (BMI) and waist circumference were associated with preschoolers' PRH when controlled for lifecourse predictors.

DESIGN

Lifeways cross-generation cohort study.

SETTING

Ireland.

PARTICIPANTS

Of 1082 families, 62% mothers responded on a health and lifestyle questionnaire at follow-up. Food frequency, BMI and waist circumference were measured. There were 547 family data sets available for analysis of children's PRH.

MAIN OUTCOME MEASURE

Mother-reported children's PRH at age 5. Associations with child's individual and familial exposures from preconception to age 5 years examined using logistic regression.

RESULTS

In univariate analysis, relatively positive rating of children's PRH were associated with children's lower intake of fats (OR (95% CI) 2.2 (1.1 to 4.3)), higher intake of fruits/vegetables (OR (95% CI) 2.2 (1.1 to 4.3)); as well as familial socioeconomic characteristics {higher household income (OR (95% CI) 3.0 (1.6 to 5.9)), non-entitlement to means-tested healthcare (OR (95% CI) 2.1 (1.0 to 4.3)), mothers' higher education (OR (95% CI) 1.9 (1.0 to 3.6))}, psychosocial characteristics {father's participation in study (OR (95% CI) 2.1 (1.0 to 4.3)), mothers' perceiving better support from partner (OR (95% CI) 2.3 (1.2 to 4.3)), children (OR (95% CI) 1.9 (1.0 to 3.7)) or relatives (OR (95% CI) 2.2 (1.1 to 4.1))}, parents' lifestyle {mothers' lower intake of energy (OR (95% CI) 2.2 (1.1 to 4.3)), fathers' non-smoking status (OR (95% CI) 2.2 (1.1 to 4.4))} and parents' health {mothers' self-rated health relatively positive (OR (95% CI) 5.1 (2.6 to 9.9)), fathers' self-rated health relatively positive (OR (95% CI) 3.0 (1.5 to 6.0))}. In multivariable analysis (χ(2)=34.2, df=21, N=303, R(2 )= 0.26, p<0.05), one of the two strong predictors of children's relatively positive PRH was child not being obese by International Obesity Task Force classification (OR (95% CI) 5.5 (1.4 to 21.0)), observed also using BMI (kg/m(2); OR (95% CI) 0.73 (0.58 to 0.93)) or waist circumference (cm; OR (95% CI) 0.89 (0.81 to 0.98)) as continuous variables. The other significant predictor was mothers' self-rated health relatively positive (OR (95% CI) 4.2 (1.5 to 12.2)).

CONCLUSIONS

Preschoolers' health is adversely associated with obesity and this is independent of lifecourse and social and environmental inequalities. The findings suggest that reducing childhood obesity and improving maternal health may be useful ways to improve child's global health.

Effectiveness of a school-community linked program on physical activity levels and health-related quality of life for adolescent girls

BACKGROUND

This study evaluated the effectiveness of a school-community program on Health-Related Quality of Life (HRQoL; the primary outcome), physical activity (PA), and potential mediators of PA among adolescent girls living in low-socioeconomic rural/regional settings.

METHOD

The study was a cluster-randomized controlled trial. Twelve communities with the requisite sports clubs and facilities were paired according to relevant criteria; one of each pair was randomly assigned to the intervention or control condition. Eight schools per condition were randomly selected from these communities and the intervention was conducted over one school year (2011). Female students in grades 7-9 in intervention schools participated in two 6-session PA units - a sport unit (football or tennis) and a recreational unit (leisure centre-based). These were incorporated into physical education (PE) curriculum and linked to PA opportunities for participation outside school. Students were surveyed at baseline and endpoint, self-reporting impact on primary and secondary outcome measures (HRQoL, PA) and PA mediators (e.g. self-efficacy). Linear mixed models for two-group (intervention, control) and three-group (completers, non-completers, control) analyses were conducted with baseline value, age and BMI as covariates, group as a fixed effect and school as random cluster effect.

RESULTS

Participants completing baseline and endpoint measures included: 358 intervention (baseline response rate 33.7%, retention rate 61.3%) and 256 control (14.1% and 84.0%). Adjustment for age and BMI made no substantive difference to outcomes, and there were no cluster effects. For HRQoL, after adjustment for baseline scores, the intervention group showed significantly higher scores on all three PedsQL scores (physical functioning: M ± SE = 83.9 ± 0.7, p = .005; psychosocial: 79.9 ± 0.8, p = .001; total score: 81.3 ± 0.7, p = .001) than the control group (80.9 ± 0.8; 76.1 ± 0.9 and 77.8 ± 0.8). The three-group analysis found intervention non-completers had significantly higher PedsQL scores (84.0 ± 0.8, p = .021; 80.4 ± 0.9, p = .003; 81.7 ± 0.8, p = .002;) than controls (80.9 ± 0.8, 76.1 ± 0.9 and 77.8 ± 0.8). There were no significant differences for any PA measure. Intervention completers had significantly higher scores than non-completers and controls for some mediator variables (e.g. self-efficacy, behavioural control).

CONCLUSION

Positive outcomes were achieved from a modest school-community linked intervention. The school component contributed to maintaining HRQoL; students who completed the community component derived a range of intra-personal and inter-personal benefits.

TRIAL REGISTRATION

ACTRN12614000446662. April 30th 2014.

BMI, health behaviors, and quality of life in children and adolescents: a school-based study

OBJECTIVE

To explore the relationship between weight status (BMI) and health-related quality of life in children and adolescents through application of the Child Health Utility 9D, a new generic preference-based instrument.

METHODS

Data were collected from primary and high school students in rural and metropolitan regions of South Australia. Consenting participants (2588 in grades 4-6 and 765 in grades 9-10) were weighed and measured and categorized as underweight, healthy weight, overweight, or obese according to International Obesity Taskforce BMI cutoff points (primary outcome). Participants also completed a questionnaire including the Child Health Utility 9D and standardized measures of physical activity, sedentary behavior, sleep patterns, and eating behavior (secondary outcomes). Descriptive and multivariate linear regression analyses were undertaken to calculate mean utility differences.

RESULTS

In comparison with healthy-weight primary school students, adjusted mean utilities were lower for overweight (-0.016, P = .02) or obese (-0.039, P = .001) students. For high school students, the adjusted mean utilities were also lower for overweight and obese students but were nonsignificant (-0.018, P > .10). Physical activity, sedentary behavior, sleep patterns, and eating behavior were all found to be significantly associated with utilities.

CONCLUSIONS

Irrespective of BMI, young people engaging in more physical activities or less sedentary behavior, and having healthier sleep patterns or eating behavior exhibited higher utilities. Associations between utilities and sleep patterns or eating behavior were stronger than the associations with BMI. Future economic evaluations for obesity interventions should more formally investigate the relationship between changes over time in weight status and health-related quality of life for children and adolescents.

The relationship between body mass index and health-related quality of life in urban disadvantaged children

INTRODUCTION

The study's aim was to establish, for children living in urban disadvantage, the nature and extent of the relationship between body mass index (BMI) and health-related quality of life (HRQoL), including the role of individual and family factors in influencing this relationship.

METHODS

Within the context of a longitudinal design, 255 children aged 7-12 years (50 % male) self-reported their HRQoL (Kidscreen-27) and had their height and weight measured at year one and two. One parent/guardian for each child was also assessed at year one with the OSLO Social Support Scale and Hospital Anxiety and Depression Scale. Regression analysis was also conducted.

RESULTS

BMI was weakly inversely associated with 'total HRQoL' (r = -.15, p < .05), 'physical well-being' and 'autonomy and parent relations'. Significant differences were found between normal weight and obese children on all but the latter dimension. Neither weight group, however, fell below the average European HRQoL range. BMI predicted physical well-being a year later and vice versa, whilst autonomy and parent relations also predicted BMI a year later. In terms of 'overweight' children (38 %), those approaching adolescence had poorer physical and school well-being than younger children, and those whose parents had moderate-to-severe levels of depression fared worse on school well-being than children whose parents were not depressed.

CONCLUSION

The findings suggest that obesity programmes could aim to prevent/reduce obesity and optimise HRQoL in urban disadvantaged preadolescent children whilst also targeting parental mental health difficulties. Future research should examine mediators of the effect of BMI on HRQoL.

Quality of life in overweight and obese children and adolescents: a literature review

PURPOSE

The purpose of the study is to present a literature review on quality-of-life (QOL) assessment in overweight or obese children and adolescents in order to identify the most affected dimensions and better understand associated factors.

METHODS

The ERIC, FRANCIS, MEDLINE, PsycARTICLES, PsycINFO, and Academic Search Premier databases were searched for articles reporting cross-sectional QOL studies in obese children and adolescents published in English before January 2013. The reference lists of retained articles were also screened.

RESULTS

Among the 34 articles retained for the analysis, only three did not report lower QOL among obese youth. Clinical populations appeared to be more affected than the general population. Several variables were associated with QOL such as self-image, bullying, bodily pain, quality of food intake, physical activity, screen time, parents' educational level, and weight status.

CONCLUSIONS

Identifying variables associated with lower QOL in obese children and adolescents offers new perspectives for prevention and care. Further research is needed to better elucidate these findings. Better understanding QOL is a key element essential for the treatment for childhood and adolescent obesity.

Relationship between overweight and health-related quality of life in secondary school children in Fiji: results from a cross-sectional population-based study

OBJECTIVE

To investigate the relationship between excess weight (overweight and obesity) and health-related quality of life (HRQoL) in a sample of secondary school children in Fiji, by gender, age and ethnicity.

METHODS

The study comprised 8947 children from forms 3-6 (age 12-18 years) in 18 secondary schools on Viti Levu, the main island of Fiji. Body mass index (BMI) was calculated from measured height and weight, and weight status was classified according to the International Obesity Task Force recommendations. HRQoL was measured by the self-report version of the Pediatric Quality of Life Inventory 4.0.

RESULTS

HRQoL was similar in children with obesity and normal weight. Generally, this was replicated when analyzed separately by gender and ethnicity, but age stratification revealed disparities. In 12-14-year-old children, obesity was associated with better HRQoL, owing to better social and school functioning and well-being, and in 15-18-year olds with poorer HRQoL, owing to worse physical, emotional and social functioning and well-being (Cohen's d 0.2-0.3). Children with a BMI in the overweight range also reported a slightly lower HRQoL than children with a BMI in the normal weight range, but although statistically significant, the size of this difference was trivial (Cohen's d <0.2).

DISCUSSION

The results suggest that, overall there is no meaningful negative association between excess weight and HRQoL in secondary school children in Fiji. This is in contradiction to the negative relationship between excess weight and HRQoL shown in studies from other countries and cultures. The assumption that a large body size is associated with a lower quality of life cannot be held universally. Although a generally low HRQoL among children in Fiji may be masking or overriding the potential effect of excess weight on HRQoL, socio-economic and/or socio-cultural factors, may help to explain these relationships.

Impaired parent-reported health-related quality of life of underweight and obese children at elementary school entry

PURPOSE

Examine the health-related quality of life of 5-6-year-old underweight, overweight and obese children.

METHODS

Our cross-sectional study included 3,227 parent-child dyads from the "Be active, eat right" study. Parents completed questionnaires regarding child and parental characteristics. Health-related quality of life of the child was measured using the Child Health Questionnaire Parent Form 28. Children were classified normal weight, overweight, obese, severely obese, and underweight according to the international age and gender BMI cutoff points. Bootstrap analyses were performed for general linear models corrected for potential confounding variables.

RESULTS

Severely obese children (β, -2.60; 95% CI, -4.80 to -0.57, p < 0.01) and underweight children (β, -1.11; 95% CI, -1.85 to -0.39, p < 0.01) had lower parent-reported scores on the physical summary scale. On the physical functioning profile scale parents of overweight and severely obese children also reported statistically significant lower scores (p < 0.05 and p < 0.01, respectively).There were no significant differences regarding the psychosocial summary scale scores between the different weight categories.

CONCLUSION

Underweight and overweight children experience impaired health-related quality of life on the physical functioning domain. Physicians, teachers and parents should be aware of the possible negative impact on health-related quality of life in underweight and overweight 5-6-year-old children.

Meta-analysis of the association between body mass index and health-related quality of life among children and adolescents, assessed using the pediatric quality of life inventory index

OBJECTIVE

To explore the relationships between body mass index and overall, physical, and psychosocial health-related quality of life (HRQoL) in children and adolescents.

STUDY DESIGN

A systematic review was conducted in accordance with Preferred Reporting Items for Systematic Review and Meta-Analysis guidelines. Medline, Embase, PsycINFO, and the Web of Knowledge were searched for relevant articles. Inclusion was restricted to participants under 20 years of age, assessed using the Pediatric Quality of Life Inventory. Random-effects meta-analysis, meta-regression, and cumulative meta-analysis were conducted. Heterogeneity was assessed using the I(2) statistic, and potential publication and small study bias were evaluated using funnel plots and the Egger test.

RESULTS

Eleven eligible studies provided 35 estimates of effect size, derived from a total of 13210 study participants. Based on self-reports, children and adolescents with above-normal body mass index had significantly lower total, physical, and psychosocial HRQoL, with a clear dose relationship across all categories. In obese children and adolescents, the overall score was reduced by 10.6 points (95% CI, 14.0-7.2; P < .001). Parents reported the same pattern but a larger effect size. The total parental score for obese children and adolescents was reduced by 18.9 points (95% CI, 26.6-11.1; P < .001). No significant publication or small study bias was observed.

CONCLUSION

Parents overestimate the impact of obesity on the HRQoL of their children. Nonetheless, obese children and adolescents have significantly reduced overall, physical, and psychosocial HRQoL.

Reasons for (non)participating in a telephone-based intervention program for families with overweight children

Objective

Willingness to participate in obesity prevention programs is low; underlying reasons are poorly understood. We evaluated reasons for (non)participating in a novel telephone-based obesity prevention program for overweight children and their families.

Method

Overweight children and adolescents (BMI>90^th percentile) aged 3.5–17.4 years were screened via the CrescNet database, a representative cohort of German children, and program participation (repetitive computer aided telephone counseling) was offered by their local pediatrician. Identical questionnaires to collect baseline data on anthropometrics, lifestyle, eating habits, sociodemographic and psychosocial parameters were analyzed from 433 families (241 participants, 192 nonparticipants). Univariate analyses and binary logistic regression were used to identify factors associated with nonparticipation.

Results

The number of overweight children (BMI>90^th percentile) was higher in nonparticipants than participants (62% vs. 41.1%,p<0.001), whereas the number of obese children (BMI>97^th percentile) was higher in participants (58.9% vs.38%,p<0.001). Participating girls were younger than boys (8.8 vs.10.4 years, p<0.001). 87.3% and 40% of participants, but only 72.2% and 24.7% of nonparticipants, respectively, reported to have regular breakfasts (p = 0.008) and 5 regular daily meals (p = 0.003). Nonparticipants had a lower household-net-income (p<0.001), but higher subjective physical wellbeing than participants (p = 0.018) and believed that changes in lifestyle can be made easily (p = 0.05).

Conclusion

An important reason for nonparticipation was non-awareness of their child's weight status by parents. Nonparticipants, who were often low-income families, believed that they already perform a healthy lifestyle and had a higher subjective wellbeing. We hypothesize that even a low-threshold intervention program does not reach the families who really need it.

Health-related quality of life of adolescents with overweight or obesity in the north of Jordan

BACKGROUND

Previous studies showed that overweight and obesity in children and adolescents are associated with impaired health-related quality of life (QOL). The objective of this study was to describe health-related QOL among Jordanian adolescents who were overweight or obese.

METHODS

This is a cross-sectional study conducted among Jordanian students aged between 13 and 18 years in three educational directorates in Irbid City in the north of Jordan. Using simple random sampling, two male schools and two female schools were selected from the list of each directorate to represent all schools in north of Jordan. In each selected school, all adolescents aged 13-18 years were visited in their classes and were invited to participate in the study. Of the total number of 1561 subjects, 1433 (91.8%) agreed to participate in the study. The short-form 15-item Pediatric Quality of Life Inventory version 4.00 was used to measure health-related QOL among participants. Body mass index (BMI) was calculated and interpreted according to the BMI-for-age growth charts of the Center for Disease Control and Prevention guidelines.

RESULTS

This study included 707 boys and 726 girls; 17.6% of participants were overweight and 7.8% were obese. For boys and girls, adolescents who were overweight or obese had significantly lower average scores for psychosocial health summary scale and physical functioning scale. Female gender, age of 16-18 years, fathers' education of high school or less and unemployed fathers (for social functioning and physical functioning) were significantly associated with decreased average scores of all scales and subscales of Pediatric Quality of Life Inventory.

CONCLUSIONS

Compared with healthy adolescents, adolescents who were overweight or obese reported significantly lower health-related QOL in all domains. Girls reported greater effect of overweight and obesity on their health-related QOL.