Considerations of eating disorder risk during obesity treatment in Australia: Current practice, attitudes and barriers.

INTRODUCTION: People with obesity are vulnerable to eating disorders. It has been suggested that screening for eating disorder risk be part of obesity care. However, it is unclear what current practice entails. OBJECTIVE: To explore considerations of eating disorder risk during treatment of obesity, including assessment and intervention strategies used in clinical practice. MATERIALS AND METHODS: An online (REDCap) cross-sectional survey was distributed to health professionals working with individuals with obesity in Australia through professional societies and social media. The survey had three sections: 1. Characteristics of Clinician/Practice, 2. Current Practice, 3. Attitudes. Data were summarised using descriptive statistics and free-text comments were independently coded in duplicate to identify themes. RESULTS: 59 health professionals completed the survey. Most were dietitians (n = 29), identified as women (n = 45) and worked within a public hospital (n = 30) and/or private practice (n = 29). Overall, 50 respondents reported assessing for eating disorder risk. Most reported that having a history of, or risk factors of eating disorders should not preclude obesity care but emphasised the importance of treatment modification including using a patient-centred approach involving a multidisciplinary team and promoting healthy eating behaviours, with less emphasis on calorie restriction or bariatric surgery. Management approaches did not differ for those with eating disorder risk factors or a diagnosed eating disorder. Clinicians identified the need for additional training and clear referral pathways. CONCLUSION: Individualised care, balancing models of care for eating disorders and obesity and further access to training and services will be important in improving care of patients with obesity.

Acceptability and feasibility of a parent-targeted dietary intervention in young survivors of childhood cancer: "Reboot".

BACKGROUND: Assess the acceptability and feasibility of delivering Reboot, a telephone dietary intervention to parents of pediatric cancer survivors. The research question asks whether tailored dietary support is acceptable and feasible to deliver to parents of young cancer survivors who have recently completed cancer treatment? PROCEDURE: Pre-post study. Nineteen parents of pediatric cancer survivors (aged 2-13 years) in remission, who had received cancer treatment at a tertiary children's hospital, less than 5 years prior to the intervention. Participants received four weekly 45-min telephone sessions led by a psychologist or dietitian and one postintervention booster session 6 weeks later. Sessions addressed strategies to increase children's vegetable and fruit intake. RESULTS: Of the 19 parents who started the intervention, 14 completed all sessions within 8 weeks and 12 completed the booster session within 10 weeks. The mean session duration was 47 min. All participants reported that Reboot increased their confidence and knowledge about promoting healthy eating habits to their child. CONCLUSIONS: Reboot is an acceptable intervention in young cancer survivors aimed at increasing vegetable and fruit intake after cancer treatment. IMPLICATIONS FOR CANCER SURVIVORS: The results from the Reboot pilot provides preliminary evidence that a targeted intervention to improve the diets of childhood cancer survivors may be feasible with future modification.

Childhood cancer survivors report preferring lifestyle interventions delivered in person rather than online: An adolescent and parent perspective.

BACKGROUND: Maintaining a healthy lifestyle can protect adolescent survivors of pediatric cancer against chronic diseases such as obesity and cardiovascular disease. In this study, we examined the attitudes of adolescent survivors of pediatric cancer and their parents toward improving lifestyle behaviors after cancer treatment, including their preferences for intervention delivery and perceived barriers and benefits to healthy eating and exercise. METHODS: We recruited adolescent survivors of childhood cancer aged 11-19 years and their parents, from two hospitals. Participants completed a questionnaire via mail or at routine oncology clinic visits. RESULTS: Thirty-three adolescents (response rate 39%, mean age 15, 61% male) and 32 parents (representing 30 parent-child dyads) participated. Parents were significantly more interested in having their child participate in a lifestyle intervention than adolescents (41% of adolescents and 72% of parents, P = .012). Both groups preferred that the survivor receive lifestyle support face to face rather than online. Adolescents preferred to involve their friends (39% of adolescents and 19% of parents) whereas parents preferred to involve the family in a lifestyle intervention (15% of adolescents and 47% of parents, P = .006). Adolescents and their parents perceived a dislike of the taste of fruits and vegetables, fatigue, lack of motivation, and fear of injury as barriers to change. They perceived that keeping healthy and having more energy were benefits to participation. Participants indicated that interventions that provide face-to-face personal training and dietary education at a local gym would be well accepted. CONCLUSIONS: Adolescents who have had cancer in childhood have a preference for face-to-face contact with health professionals to overcome the barriers to participation in a lifestyle intervention.

Descriptive epidemiology of changes in weight and weight-related behaviours of Australian children aged 5 years: two population-based cross-sectional studies in 2010 and 2015.

OBJECTIVE: Over the past 10-15 years there has been substantial investment in New South Wales (NSW), Australia, to reduce child obesity through interventions in children aged 0-5 years. We report changes in weight and weight-related behaviours of 5-year-old children. DESIGN: Cross-sectional surveys conducted in 2010 and 2015. SETTING: NSW schools (2010 n=44; 2015 n=41) PARTICIPANTS: Australian children in kindergarten (2010 n=1141 and 2015 n=1150). OUTCOME MEASURES: Change in anthropometry and indicators of diet, screen time, school travel and awareness of health recommendations. Additionally, we examined 2015 differences in weight-related behaviours by sociodemographic characteristics. RESULTS: Prevalence of overweight/obesity was 2.1% lower (adjusted OR (AOR) 0.83, 95% CI 0.67 to 1.04) and abdominal obesity 1.7% higher (AOR 1.35, 95% CI 0.93 to 1.98) in 2015 than 2010. Significant improvements in multiple weight-related behaviours were observed among children in the highest tertile of junk food consumption (AOR 0.63, 95% CI 0.50 to 0.80), rewarded for good behaviour with sweets (AOR 0.59, 95% CI 0.47 to 0.74) and had a TV in their bedroom (AOR 0.65, 95% CI 0.43 to 0.96). In 2015, children from low socioeconomic neighbourhoods and non-English-speaking backgrounds were generally less likely to engage in healthy weight-related behaviours than children from high socioeconomic status neighbourhoods and from English-speaking backgrounds. Children in these demographic groups were less likely to eat breakfast daily, have high junk food intake and eat fast food regularly. Children from rural areas tended to have healthier weight-related behaviours than children from urban areas. CONCLUSIONS: There were significant positive changes in 5-year-old children's weight-related behaviours but children from low socioeconomic neighbourhoods and from non-English-speaking backgrounds were more likely to engage in unhealthy weight-related behaviours than children from high socioeconomic neighbourhoods and English-speaking backgrounds. The findings indicate that there is a need to enhance population-level efforts and ensure community programmes are targeted and tailored to meet different subpopulation needs.

Changes in body mass index in long-term survivors of childhood acute lymphoblastic leukemia treated without cranial radiation and with reduced glucocorticoid therapy.

BACKGROUND: Cranial radiation and glucocorticoids are associated with an increase in body mass index (BMI) z-score in survivors of childhood acute lymphoblastic leukemia (ALL). We aimed to investigate the impact of a contemporary treatment protocol that omitted prophylactic cranial radiation and glucocorticoids from the maintenance phase on longitudinal BMI, height, and weight z-scores in children with ALL. METHOD: We retrospectively studied 184 children with standard- and medium-risk ALL treated without cranial radiation or glucocorticoids. Height, weight, and BMI z-scores were collected from diagnosis to 7 years after diagnosis. Longitudinal changes in anthropometric data were compared to diagnosis using separate linear mixed models, adjusting for age, sex, and socioeconomic status (SES). RESULTS: Relative to diagnosis, there was a significant increase in estimated marginal mean BMI z-score during dexamethasone-containing re-induction (1.08, P < 0.001) that persisted throughout intensification (0.85, P < 0.001) and maintenance phases (0.81, P < 0.001), and up to 7 years after diagnosis (0.76, P = 0.002). Height z-scores decreased over the same time (P < 0.001), whereas weight z-scores fluctuated during treatment and declined thereafter (P = 0.007). A higher BMI z-score at diagnosis was associated with a younger age (P < 0.001), male sex (P < 0.001), and lower SES (P < 0.001). CONCLUSIONS: Children who did not receive cranial radiation or glucocorticoids during maintenance remain at increased risk of treatment-related increases in BMI z-score, which is associated with a loss of height z-score. Interventions designed to mediate this risk should begin early, even while children are on treatment because of the association with cardiovascular risk. Monitoring of survivors of ALL should include anthropometric measures.

Can early weight loss, eating behaviors and socioeconomic factors predict successful weight loss at 12- and 24-months in adolescents with obesity and insulin resistance participating in a randomised controlled trial?

BACKGROUND: Lifestyle interventions in adolescents with obesity can result in weight loss following active intervention but individual responses vary widely. This study aimed to identify predictors of weight loss at 12- and 24-months in adolescents with obesity and clinical features of insulin resistance. METHODS: Adolescents (n = 111, 66 girls, aged 10-17 years) were participants in a randomised controlled trial, the RESIST study, examining the effects of two diets differing in macronutrient content on insulin sensitivity. Eighty-five completed the 12-month program and 24-month follow-up data were available for 42 adolescents. Change in weight was determined by BMI expressed as a percentage of the 95th percentile (BMI95). The study physician collected socioeconomic data at baseline. Physical activity and screen time, and psychological dimensions of eating behavior were self-reported using the validated CLASS and EPI-C questionnaires, respectively. Stepwise multiple regressions were conducted to identify models that best predicted change in BMI95 at 12- and 24-months. RESULTS: Mean BMI95 was reduced at 12-months compared with baseline (mean difference [MD] ± SE: -6.9 ± 1.0, P < 0.001) but adolescents had significant re-gain from 12- to 24-months (MD ± SE: 3.7 ± 1.5, P = 0.017). Participants who achieved greater 12-month weight loss had: greater 3-month weight loss, a father with a higher education, lower baseline external eating and parental pressure to eat scores and two parents living at home. Participants who achieved greater 24-month weight loss had: greater 12-month weight loss and a lower baseline emotional eating score. CONCLUSIONS: Early weight loss is consistently identified as a strong predictor of long-term weight loss. This could be because early weight loss identifies those more motivated and engaged individuals. Patients who have baseline factors predictive of long-term weight loss failure may benefit from additional support during the intervention. Additionally, if a patient does not achieve early weight loss, further support or transition to an alternate intervention where they may have increased success may be considered. TRIAL REGISTRATION: Australian New Zealand Clinical Trial Registration Number (ACTRN) 12608000416392 https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=83071.

Neuroblastoma, body mass index, and survival: a retrospective analysis.

Extremes of body mass index (BMI) at diagnosis of childhood cancers have been associated with poorer prognosis. The aims of this retrospective review were to examine the growth and BMI status of children diagnosed with neuroblastoma (NB) and determine if BMI status at diagnosis affected survival. Between 1985 and 2005, 154 children were diagnosed with NB at Sydney Children's Hospitals Network (Westmead), Australia, of which 129 had both length/height and weight recorded in the medical records at diagnosis. BMI was calculated and children were classified as underweight (BMI <15th percentile), normal weight, and overweight (BMI >85th percentile). Disease stage was classified according to the International NB Staging System. At diagnosis, 24.0% of the children were classified as underweight and 11.6% were overweight. Six months after diagnosis all children except those with stage 4s disease had a decrease in BMI z-score; difference in estimated marginal mean -0.73, P < .001. After 12 months an increase in BMI z-score was observed and by 2 years BMI z-score was significantly higher than BMI z-score at baseline; difference in estimated marginal mean 0.81, P = .007. At the last follow-up (median 5.6 years [range 3-7] after diagnosis) the proportion of children who were classified as underweight decreased to 8.7% and the proportion of children who were classified as overweight increased to 27.5%. The overall survival rate was 61.2%; however, BMI status did not predict survival. In multivariable Cox regression modeling, stage at diagnosis was the only predictor of survival; children diagnosed with stage 4 were less likely to survive (hazard ratio [HR] [95%CI]: 7.02 [1.7-29.0], P = .007). Almost a quarter of children with NB were underweight at diagnosis. However, we did not demonstrate a prognostic association between BMI status and survival. The high proportion of children who were classified as overweight at follow-up indicates a need for nutritional interventions to prevent potential late effects.

Animal protein intakes during early life and adolescence differ in their relation to the growth hormone-insulin-like-growth-factor axis in young adulthood.

Recent studies provide evidence that insulin-like-growth-factor I (IGF-I) and its binding proteins (IGFBP) IGFBP-2 and IGFBP-3 are related to the risk of several common cancers. It remains to be clarified whether their concentrations can be programmed by protein intake from different sources during growth. This study addressed the hypothesis that animal protein intakes during infancy, mid-childhood, and adolescence differ in their relevance for the growth-hormone (GH)-IGF-I axis in young adulthood. Data from the Dortmund Nutritional and Anthropometric Longitudinally Designed Study participants with at least 2 plausible 3-d weighed dietary records during adolescence (age: girls, 9-14 y; boys, 10-15 y; n = 213), around the adiposity rebound (age 4-6 y; n = 179) or early life (age 0.5-2 y; n = 130), and one blood sample in young adulthood were included in the study. Mean serum concentrations of IGF-I, IGFBP-1, IGFBP-2, and IGFBP-3 were compared between tertiles of habitual animal protein intake using multivariable regression analysis. Habitually higher animal protein intakes in females during puberty were related to higher IGF-I (P-trend = 0.005) and IGFBP-3 (P-trend = 0.01) and lower IGFBP-2 (P-trend = 0.04), but not to IGFBP-1 in young adulthood. In turn, IGF-I concentrations in young adulthood were inversely related to animal protein intakes in early life among males only (P-trend = 0.03), but not to animal protein intake around adiposity rebound (P-trend > 0.5). Our data suggest that, among females, a habitually higher animal protein intake during puberty may precipitate an upregulation of the GH-IGF-I axis, which is still discernible in young adulthood. By contrast, among males, higher animal protein intakes in early life may exert a long-term programming of the GH-IGF-I axis.

Optimal macronutrient content of the diet for adolescents with prediabetes; RESIST a randomised control trial.

CONTEXT: Prediabetes and clinical insulin resistance in adolescents are rapidly emerging clinical problems with serious health outcomes. OBJECTIVE: The objective of this study was to determine the efficacy of 2 structured lifestyle interventions, both differing in diet macronutrient composition, on insulin sensitivity. DESIGN: This study was a randomized controlled trial, known as Researching Effective Strategies to Improve Insulin Sensitivity in Children and Teenagers, in 2 hospitals in Sydney, Australia. PARTICIPANTS: Participants included overweight or obese 10- to 17-year-olds with either prediabetes and/or clinical features of insulin resistance. INTERVENTION: At baseline adolescents were prescribed metformin and randomized to a structured diet, which was either high carbohydrate or moderate carbohydrate with increased protein. The program commenced with a 3-month dietary intervention, with the addition of an exercise intervention in the next 3 months. OUTCOMES: The outcomes included an insulin sensitivity, anthropometry, and cardiometabolic profile at 6 months. RESULTS: One hundred eleven subjects (66 girls) were recruited and 98 subjects (58 girls) completed the 6-month intervention. After 3 months the mean insulin sensitivity index increased by 0.3 [95% confidence interval (CI) 0.2-0.4]. After 6 months the mean insulin (picomoles per liter) to glucose ratio (millimoles per liter) decreased by 7.2 [95%CI -12.0 to -2.3], body mass index, expressed as a percentage of the 95th centile, decreased by 9% (95% CI -3 to -15), but there was no significant change in the lipids. There were no significant differences in outcomes between the diet groups at any time point. CONCLUSIONS: These results are in contrast with our hypothesis that adolescents randomized to the increased protein diet would have better outcomes. Further strategies are required to better address prediabetes and clinical features of insulin resistance in adolescents.

IL-6, IL-8 and IL-10 levels in healthy weight and overweight children.

BACKGROUND/AIM: In adults, studies have shown that obesity is a chronic low-grade inflammatory state characterized by altered levels of cytokines. Studies in children have mainly focused on C-reactive protein and adiponectin, and there is limited data for other inflammatory markers in healthy weight and overweight children. The aim of this study was to measure IL-6, IL-8 and IL-10 levels in healthy normal weight and overweight children at 8 and 15 years. METHODS: 118 normal weight and overweight children (59 boys) from the Nepean longitudinal study were recruited at age 8 years and followed up at 15 years. Serum IL-6, IL-8 and IL-10 levels were measured at both time-points. RESULTS: At 8 years, we found no significant differences in cytokine levels between normal weight and overweight (owt)/obese (ob) groups. However, at 15 years, owt/ob girls (n = 23) had higher levels of IL-6 (p = 0.04), IL-8 (p = 0.04) and IL-10 (p = 0.03) compared to normal weight girls (n = 36), even after adjustment for puberty; no differences were seen in boys. CONCLUSION: The effects of obesity on IL-6, IL-8 and IL-10 levels vary with age and sex, with owt/ob girls at 15 years showing raised IL-6, IL-8 and IL-10 levels compared to healthy weight girls.

Opposing influences of prenatal and postnatal growth on the timing of menarche.

CONTEXT AND OBJECTIVE: Menarche is a milestone of reproductive development, and its timing may be differentially influenced by the growth conditions before birth and those between birth and puberty. The present study explored the relationships among menarcheal timing and markers of prenatal and midchildhood growth in healthy Australian girls. SETTING, DESIGN, AND PATIENTS: A total of 156 girls aged 8 yr from a birth cohort of full-term babies had height, weight, and waist circumference measured. One hundred three girls had dual x-ray absorptiometry performed and blood analyzed for insulin, leptin, IGF-I, estradiol, and dehydroepiandrosterone sulfate levels. Girls were followed up at age 15 yr and their age of menarche was recorded. MAIN OUTCOME MEASURES: Measures included age of menarche; birth weight and birth length; height, weight, waist circumference, and body composition by dual x-ray absorptiometry; and plasma insulin, leptin, IGF-I, estradiol, and dehydroepiandrosterone sulfate at age 8 yr. RESULTS: Girls with earlier menarche were light and long at birth and had higher total and central adiposity and IGF-I and estradiol levels in midchildhood, compared with those with later menarche. Age of menarche was best predicted by combining size at birth and body mass index z score at age 8 yr (r2 = 0.12; P < 0.001). CONCLUSIONS: The timing of menarche appears to be influenced in opposing directions by pre- and postnatal growth. Menarche was found to occur earlier in girls who were long and light at birth and who had a higher fat mass and circulating IGF-I in childhood. These findings may partly explain ethnic differences and secular trends in the age of menarche.

Change in women's body mass index and waist circumference, 1997 to 2002: the Nepean Study.

OBJECTIVE: To investigate characteristics associated with body mass index (BMI) and waist circumference stability over a five-year period in women with school-age children. METHODS: Women with 7-8 year-old children from western Sydney, Australia, had anthropometric measures taken in 1996/97 (n=436) and five years later (n=327). Socio-demographic characteristics examined at baseline included age, socioeconomic status, smoking, and number of children. RESULTS: Over five years, less than half of the women maintained a stable BMI (38.8%) or waist circumference (31.5%), with the majority gaining in both indicators of adiposity. BMI and socio-demographic characteristics were not predictive of BMI or waist circumference stability or decrease. CONCLUSIONS AND IMPLICATIONS: Total and abdominal adiposity increased in these Australian women who have children. The results support the need to develop effective weight gain prevention initiatives.

Relation between hormones and body composition, including bone, in prepubertal children.

BACKGROUND: Sex differences in body composition exist before puberty, but the reason for this phenomenon is unknown. The physical changes that occur during puberty are mediated, in part, through sex steroids, insulin-like growth factor I (IGF-I), and leptin. However, data are lacking that address the extent to which concentrations of these hormones influence body composition, bone mass, and density in prepubertal children. OBJECTIVE: We investigated the effects of IGF-I, dehydroepiandrosterone sulfate, and sex steroids on body composition and fat distribution and the effects of these hormones and leptin on total body bone mineral content (TBMC) and volumetric bone mineral density (vBMD) at the femoral neck and lumbar spine (LS) in 255 healthy children (137 girls), aged 7-8 y. DESIGN: Body composition, fat distribution, TBMC, and vBMD were derived by using dual-energy X-ray absorptiometry. Association between variables was examined by using regression analysis. RESULTS: No sex differences were found in age, height, or weight. However, girls had significantly more total body fat, trunk fat, and higher LS vBMD but significantly less fat-free soft tissue, TBMC, and femoral neck vBMD than did boys. Girls also had significantly (P < 0.001) higher IGF-I, estradiol, testosterone, and leptin concentrations than did boys. Estradiol concentrations predicted percentage body fat, which supported an effect of estrogen on fat storage. Leptin had an independent effect on LS vBMD, which suggests a positive effect for leptin on trabecular bone. CONCLUSIONS: The hormones examined explained 3-17% of the variations in body-composition measures, fat distribution, and bone density, which suggests that other factors are important predictors of prepubertal sexual dimorphism.