Loss-of-Control Eating and Obesity Among Children and Adolescents

Byrne, Meghan E.; LeMay‐Russell, Sarah; Tanofsky‐Kraff, Marian

doi:10.1007/s13679-019-0327-1

Cited by 67 publications

(63 citation statements)

References 73 publications

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“…Researchers have suggested that behavioral dysregulation may be a marker of dysregulation in more proximal behaviors that confer risk for obesity, including disordered eating behaviors (e.g., eating in the absence of hunger) (10,12,38). We found that youth in the severe obesity trajectory exhibited the highest level of disordered eating attitudes, namely dieting attitudes, followed by youth in the overweight/ obesity trajectory.…”

Section: Discussionmentioning

confidence: 61%

“…Data were drawn from the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) Study of Early Child Care and Youth Development (SECCYD), a prospective study of youth born into 1,364 families across 10 data collection sites in the United States in 1991. Home and laboratory visits were completed at 1, 6, and 15 months and at 2, 3,4,7,9,11,12,13,14, and 15 years of age; we used data collected at recruitment and between ages 15 months and 15 years. Because we were interested in modeling normative growth patterns, we excluded youth whose gestational age was < 37 or > 42 weeks (n = 119) or youth who had less than two BMI data points between ages 2 and 15 years (n = 165).…”

Section: Methods Participantsmentioning

confidence: 99%

“…Several regulatory factors have been shown to predict the development of obesity in youth, including behavioral self‐regulation , eating regulation , and adrenocortical regulation or hypothalamic‐pituitary‐adrenal (HPA) axis dysfunction . Little is known, however, about associations between longitudinal changes in BMI and HPA axis dysregulation in childhood and adolescence.…”

Section: Introductionmentioning

confidence: 99%

“…Obesity tracks across the life-span, and it is likely that the long-term risks associated with obesity are magnified among youth with severe obesity. Several regulatory factors have been shown to predict the development of obesity in youth, including behavioral self-regulation (6)(7)(8)(9), eating regulation (10)(11)(12)(13), and adrenocortical regulation or hypothalamic-pituitaryadrenal (HPA) axis dysfunction (14,15). Little is known, however, about associations between longitudinal changes in BMI and HPA axis dysregulation in childhood and adolescence.…”

Section: Introductionmentioning

confidence: 99%

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Biobehavioral Dysregulation and its Association with Obesity and Severe Obesity Trajectories from 2 to 15 Years of Age: A Longitudinal Study

Francis

Rollins

Bryce

2020

Obesity

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Objective This study aimed to identify obesity trajectories from childhood to adolescence (2‐15 years of age) and investigate differences in behavioral, eating, and adrenocortical regulation by trajectory membership. Methods A total of 1,077 households from the National Institute of Child Health and Human Development Study of Early Child Care and Youth Development were included. Anthropometrics were measured 11 times between ages 15 months and 15 years. Behavioral self‐regulation was assessed at ages 3 and 4 years. Disordered eating behaviors and awakening cortisol were assessed at age 15 years. Results Latent growth curve modeling identified four BMI trajectories: two nonoverweight trajectories based on average BMI at the 40th and 70th percentiles and overweight/obesity and severe obesity trajectories. Youth in the severe obesity trajectory exhibited lower behavioral self‐regulation in early childhood and lower awakening cortisol at age 15 years compared with youth in the nonoverweight trajectories. Youth in the overweight/obesity and severe obesity trajectories showed higher levels of disordered eating behaviors at age 15 years. Conclusions Obesity trajectories were associated with biobehavioral markers of dysregulation in early childhood and adolescence. Dysregulation across biobehavioral domains was particularly apparent among youth who developed severe obesity. Further work is needed to better understand resilience factors that distinguish youth who develop obesity and severe obesity from those who do not.

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Section: Discussionmentioning

confidence: 61%

Section: Methods Participantsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Biobehavioral Dysregulation and its Association with Obesity and Severe Obesity Trajectories from 2 to 15 Years of Age: A Longitudinal Study

Francis

Rollins

Bryce

2020

Obesity

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“…We are designing a mobile behavioral intervention to address obesity and binge eating simultaneously. In addition to addressing the standard tenants of behavioral weight loss treatment—namely, improving dietary intake and increasing physical activity (Wilfley, Hayes, Balantekin, Van Buren, & Epstein, )—we theorize that reducing overvaluation of weight and/or shape, unhealthy weight control practices, and/or negative affect will be beneficial, as these constructs affect binge eating and weight gain (Byrne, LeMay‐Russell, & Tanofsky‐Kraff, ; Goldschmidt, ). To help individuals achieve improvements in these theoretical constructs, we identified 20 potential corresponding treatment targets (“targets”; see Table ).…”

Section: Introductionmentioning

confidence: 99%

Past, current, and future willingness to engage with treatment targets: Applying user‐centered design to inform the design of a mobile behavioral intervention

Weinheimer

Chang

Neubert

et al. 2020

Intl J Eating Disorders

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Objective: User-centered design can improve engagement with and the potential efficacy of behavioral interventions, but is underutilized in health care. This work demonstrates how design methodologies can inform the design of a mobile behavioral intervention for binge eating and obesity.Method: A needs assessment was conducted with end-users (N = 22 adults with obesity and recurrent binge eating [≥12 episodes in 3 months] who were interested in losing weight and addressing binge eating), which included assessing participants' past/current and future willingness to engage with 20 treatment targets for managing binge eating and weight. Targets focused on improving dietary intake, increasing physical activity, and reducing overvaluation of weight and/or shape, unhealthy weight control practices, and negative affect. Results:Participants' past and current use of targets varied. For all targets except those addressing unhealthy weight control practices, on average, participants had increasing levels of willingness to try targets. Among participants not currently using a target, at least some were willing to use every target again.Discussion: Findings inform ways to personalize how users begin treatment. Furthermore, this study exemplifies how user-centered design can inform ways to ensure that digital interventions are designed to meet end-users' needs to improve engagement and clinical impact.

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The interactive effects of parental self‐efficacy and child eating styles in relation to naturalistically‐assessed craving, overeating, and loss of control eating

Haedt‐Matt

Dougherty

Ivins-Lukse

et al. 2020

Intl J Eating Disorders

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Objective Parental factors have been linked to weight‐related outcomes in children, though less is known regarding the role of parental self‐efficacy (PSE) for promoting healthy dietary behaviors (HDBs). This study examined associations between PSE for promoting HDBs and child reports of craving, overeating, and loss of control eating in daily life. The interactive effects of PSE and child eating style (emotional eating, external eating, and restraint) were also explored. Method Thirty‐eight youth (ages 8–14; 55.3% female) with overweight/obesity and their parents completed the Dutch Eating Behavior Questionnaire for Children (DEBQ‐C) and Parental Self‐Efficacy for Healthy Dietary and Physical Activity Behaviors Scale, respectively. Youth completed ecological momentary assessment (EMA) to report craving, overeating, and loss of control eating. Results Generalized estimating equations indicated no consistent main effects of PSE on EMA outcomes, but PSE interacted with DEBQ‐C child eating styles to predict each EMA outcome. Among children of parents with lower PSE, (a) higher emotional eating was associated with greater overeating and loss of control eating; (b) higher external eating was associated with greater craving; and (c) higher restraint was associated with greater loss of control eating and craving. Conversely, these associations were attenuated among children of parents with higher PSE. Discussion Together findings suggest the interplay of child characteristics and PSE regarding children's eating behaviors warrants future investigation in the context of eating and weight disorders. In particular, further research is needed to examine the directionality of effects and mechanisms underlying these associations.

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Loss-of-Control Eating and Obesity Among Children and Adolescents

Cited by 67 publications

References 73 publications

Biobehavioral Dysregulation and its Association with Obesity and Severe Obesity Trajectories from 2 to 15 Years of Age: A Longitudinal Study

Biobehavioral Dysregulation and its Association with Obesity and Severe Obesity Trajectories from 2 to 15 Years of Age: A Longitudinal Study

Past, current, and future willingness to engage with treatment targets: Applying user‐centered design to inform the design of a mobile behavioral intervention

The interactive effects of parental self‐efficacy and child eating styles in relation to naturalistically‐assessed craving, overeating, and loss of control eating

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