Name (Synonyms) | Correlation | |
---|---|---|
drug2398 | Sustained attention Wiki | 0.45 |
drug910 | FBT+Variety Wiki | 0.45 |
drug909 | FBT Wiki | 0.45 |
drug2640 | Video Wiki | 0.45 |
drug894 | Exposure to the Dutch measures due to the Covid-19 pandemic. Wiki | 0.45 |
drug1635 | Non-food Ads Wiki | 0.45 |
drug756 | Diagnosis of SARS-Cov2 by RT-PCR and : IgG, Ig M serologies in the amniotoc fluid, the blood cord and the placenta Wiki | 0.45 |
drug964 | Food Ads Wiki | 0.45 |
drug2885 | media multi-task Wiki | 0.45 |
drug1344 | Lifestyle intervention Wiki | 0.45 |
Name (Synonyms) | Correlation | |
---|---|---|
D050177 | Overweight NIH | 0.40 |
D009765 | Obesity NIH | 0.37 |
D006963 | Hyperphagia NIH | 0.32 |
D002908 | Chronic Disease NIH | 0.14 |
Name (Synonyms) | Correlation | |
---|---|---|
HP:0001513 | Obesity HPO | 0.37 |
HP:0002591 | Polyphagia HPO | 0.32 |
There are 5 clinical trials
Children and adolescents with overweight and obesity are predisposed to significant health problems. It is known that childhood obesity can adversely affect almost every organ system, and if left untreated, the major impact of childhood overweight is likely to be felt in the next generation of adults. The aim of " Kijk op overgewicht bij kinderen" is to collect and follow-up longitudinal data from a population of different degrees of children with overweight regarding etiological factors, risk factors and early stages of chronic disease in different degrees of childhood overweight.
This study assesses the associations between genetic factors, food-cue-related neural reactivity, self-regulatory capacity, eating in the absence of hunger (EAH), and adiposity gain in children.
Description: Activation in brain reward regions in response to food vs. non-food cues, as measured by differences in the blood-oxygen-level dependent response during fMRI scans. Investigators will examine associations between polymorphisms in FTO, MC4R, as well as a genetic risk score with the differential neural activity.
Measure: Food-cue-related neural activity Time: BaselineDescription: Difference in kcals consumed in response to food vs. non-food cue exposure in the behavioral sessions. Investigators will examine how differential neural activity in response to food vs. non-food cues will relate to EAH. Investigators will also assess whether self-regulatory capacity diminishes this association between differential neural activity and EAH.
Measure: Food-cue-related Eating in the Absence of Hunger (EAH) Time: Baseline, 2 weeks, 4 weeksDescription: Difference between BMI z-score according to the Center for DiseaSe Control 2000 Growth Reference Curves assessed at baseline and follow-up. Investigators will assess the associations between genetic factors (polymorphisms in FTO, MC4R; and a genetic obesity risk score), food-cue-related neural activity and EAH with change in BMI.
Measure: Change in BMI Time: Baseline, 1-year followupChildhood obesity is a critical public health problem in the United States. One factor known to contribute to childhood obesity is excess consumption. Importantly, excess consumption related to weight gain is not necessarily driven by hunger. For example, environmental food cues stimulate brain reward regions and lead to overeating even after a child has eaten to satiety. This type of cued eating is associated with increased attention to food cues; the amount of time a child spends looking at food cues (e.g., food advertisements) is associated with increased caloric intake. However, individual susceptibility to environmental food cues remains unknown. It is proposed that the prevalent practice of media multi-tasking—simultaneously attending to multiple electronic media sources—increases attention to peripheral food cues in the environment and thereby plays an important role in the development of obesity. It is hypothesized that multi-tasking teaches children to engage in constant task switching that makes them more responsive to peripheral cues, many of which are potentially harmful (such as those that promote overeating). The overarching hypothesis is that media multi-tasking alters the attentional networks of the brain that control attention to environmental cues. High media multi-tasking children are therefore particularly susceptible to food cues, thereby leading to increased cued eating. It is also predicted that attention modification training can provide a protective effect against detrimental attentional processing caused multi-tasking, by increasing the proficiency of the attention networks. These hypotheses will be tested by assessing the pathway between media-multitasking, attention to food cues, and cued eating. It will also be examined whether it is possible to intervene on this pathway by piloting an at-home attention modification training intervention designed to reduce attention to food cues. It is our belief that this research will lead to the development of low-cost, scalable tools that can train attention networks so that children are less influenced by peripheral food cues, a known cause of overeating. For example, having children practice attention modification intervention tasks regularly (which could be accomplished through user-friendly computer games or cell phone/tablet apps) might offset the negative attentional effects of media multi-tasking.
Description: Eye-tracking will be used to measure the amount of time spent looking at static food cues while participants play a media game on the computer. The amount time spent looking at a food cue is a measure how much attention was given to the food cue. The longer the looking time, the greater amount of attention.
Measure: Amount of time spent looking at food cues while playing a media game Time: approximately 15 minutes post-interventionDescription: The amount of kcals consumed of snack foods after participants have completed the intervention.
Measure: Amount of snack foods consumed post-intervention Time: approximately 30 minutes post-interventionDescription: This questionnaire measures the amount of media multi-tasking in a typical hour of media use, by asking respondents to report their interaction with 12 forms of media. The 12 different media forms are print media, television, computer-based video, music, non-musical audio, video or computer games, telephone and mobile phone, instant messaging, text messaging, email, web surfing, and other computer-based applications. For each activity, respondents indicate how often they concurrently use the other 11 media forms, using a 4-point scale: never (0), a little of the time (0.33), some of the time (0.67), and most of the time (1).
Measure: Daily usual media multi-tasking Time: approximately 10 minutes prior to the interventionThe investigators plan to implement a novel limited RED (high-energy-dense) food variety prescription within a 18-month FBT to examine its effect on 18-month body mass index (BMI). This will be the first randomized control trial to examine how habituation rate, assessed via salivary habituation, mediates reduction in RED food intake, overall energy intake, and reductions in BMI over time, as well as if baseline habituation rate is a behavioral phenotype that moderates BMI outcomes. One hundred fifty-six children aged 8 to 12 years at > 85th percentile BMI will be randomized to one of two, 18-month interventions compared in our 6-month pilot study: FBT (family-based behavioral obesity treatment) or FBT+Variety. Child and adult caregiver assessments will occur at 0, 6, 12, and 18 months on anthropometrics, dietary intake (RED food variety, energy, and diet quality), habituation, and physical activity.
Description: Child's and adult caregiver's weight will be assessed by an electronic scale and height will be measured by a stadiometer.
Measure: Child and adult body mass index Time: Change from 0 to 6, and 6 to 18 monthsDescription: To assess habituation of salivary responses to food cues, whole mouth parotid salivary flow will be measured using the Strongin-Hinsie Peck method. Two measures will be taken, one with juice and one with food.
Measure: Child and adult salivary habituation Time: Change from 0 to 6, and 6 to 18 monthsDescription: Dietary intake for both the child and adult caregiver will be assessed by 3 (2 weekdays and 1 weekend day) 24-hour dietary phone recalls, using the five-step, multiple-pass method. Variables of interest will be the variety of RED foods consumed over the three days; and the mean over the three days of daily servings and kcal from RED foods, kcal, energy density (kcal/g), and Healthy Eating Index (HEI)-2015. Adherence to the prescriptions in the two conditions will be examined. At 6, 12, and 18 months, the percentage of goals met each day will be calculated, with a mean percentage calculated. We will also provide a detailed list of snack foods to participants, and they will be asked to indicate which of the foods on the list were eaten during the previous month, regardless of quantity consumed.
Measure: Child and adult dietary Intake Time: Change from 0 to 6, and 6 to 18 monthsDescription: The wGT9x (ActiGraph, LLC, Pensacola, FL) will objectively measure time spent in MVPA (physical activity at > 3.0 metabolic equivalents units).
Measure: Child and adult physical activity via wGT3X-BT Time: Change from 0 to 6, and 6 to 18 monthsDescription: Percent overweight (%OW) will also be calculated (100*[BMI/50th percentile BMI for child age and sex]).
Measure: Child percent overweight Time: Change from 0 to 6, and 6 to 18 monthsDescription: Waist circumference (WC) will be measured using standard procedures.
Measure: Child and adult waist circumference Time: Change from 0 to 6, and 6 to 18 monthsDescription: Parent time scarcity and fatigue as barriers to planning and preparing meals will measure frequency of occurrence of these barriers.
Measure: Meal planning, preparation, and grocery shopping Time: Change from 0 to 6, and 6 to 18 monthsDescription: Child eating pathology will be assessed using the Kid's Eating Disorder Survey
Measure: Child eating pathology Time: Change from 0 to 6, and 6 to 18 monthsDescription: Self-reported inventory of foods available in the household will be assessed
Measure: Home Food Inventory Time: Change from 0 to 6, and 6 to 18 monthsDescription: Usual sleeping and waking time will be collected
Measure: Child and Adult Sleep Habits Time: Change from 0 to 6, and 6 to 18 monthsDescription: Parent-report measure of commonly occurring routines in school-aged children will measure the frequency of occurrence of routines in children.
Measure: Child Routines Time: Change from 0 to 6, and 6 to 18 monthsDescription: Total number of weekly, and type, of self-monitoring records (hard copy or electronic) completed will be assessed. Number of treatment sessions attended will be recorded.
Measure: Compliance and process data Time: 6, 12, and 18 monthsThis study aims to evaluate the impact of the COVID-19 pandemic and its measures on lifestyle in Dutch children between 4 - 18 years.
Description: Weight development of the child. Weight (in kg) will be measured using scales at home, with clear instructions.
Measure: Change in weight child Time: Every 2 weeks until end of the Dutch governement measures affecting children (e.g. fully opening of the schools and sportclubs). Three months after the "measures"-period, 1 follow-up moment.Description: Weight development of the parents. Weight (in kg) will be measured using scales at home, with clear instructions.
Measure: Change in weight parents Time: Every 2 weeks until end of the Dutch governement measures affecting children (e.g. fully opening of the schools and sportclubs, hereafter: "coronacrisis-period"). Three months after the "measures"-period, 1 follow-up moment.Description: eating behaviour during measures due to the coronacrisis, measured with an online questionnaire.
Measure: Eating behaviour Time: Every month until end of the Dutch governement measures affecting children (e.g. fully opening of the schools and sportclubs). Three months after the "measures"-period, 1 follow-up moment.Description: COVID-19 related symptoms and adherence to governmental measures, measured with an online questionnaire.
Measure: Symptoms Time: Every 2 weeks until end of the Dutch governement measures affecting children (e.g. fully opening of the schools and sportclubs). Three months after the "measures"-period, 1 follow-up moment.Description: Daystructure of children during the coronacrisis, measured with an online questionnaire.
Measure: Day structure Time: Every month until end of the Dutch governement measures affecting children (e.g. fully opening of the schools and sportclubs). Three months after the "measures"-period, 1 follow-up moment.Description: Physical activity behaviour children during the coronacrisis, measured with the Baecke questionnaire.
Measure: Physical activity Time: Every month until end of the Dutch governement measures affecting children (e.g. fully opening of the schools and sportclubs). Three months after the "measures"-period, 1 follow-up moment.Description: Screentime during the the coronacrisis, measured with an online questionnaire.
Measure: Screentime Time: Every month until end of the Dutch governement measures affecting children (e.g. fully opening of the schools and sportclubs). Three months after the "measures"-period, 1 follow-up moment.Description: Online possibilities for working on a healthy lifestyle, such as challenges regarding nutrition and physical activity, measured with an online questionnaire.
Measure: Online possibilities Time: Every month until end of the Dutch governement measures affecting children (e.g. fully opening of the schools and sportclubs). Three months after the "measures"-period, 1 follow-up moment.Description: Quality of life during the coronacrisis, measured with the Kidscreen-27.
Measure: Quality of life in children Time: Once in first month of the study and once within three months after COVID-19 measures are scaled down.Description: Parenting practices regarding eating behaviour and physical activity, measured with a questionnaire.
Measure: Parenting practices Time: Once in first month of the study and once within three months after COVID-19 measures are scaled down.Description: Qualitative data on lifestyle in children during the coronacrisis, by semi-structured interviews.
Measure: Qualitative data on lifestyle in children Time: Up to approximately 1 year