Characterisation and validation of lactation information from structured electronic health records for use in pharmacoepidemiological studies.

BACKGROUND: Breastfeeding information stored within electronic health records (EHR) has recently been used for pharmacoepidemiological research, however the data are primarily collected for clinical care. OBJECTIVES: To characterise breastfeeding information recorded in structured fields in EHR during infant and postpartum health care visits, and to assess the validity of lactation status based on EHR data versus maternal report at research study visits. METHODS: We assessed breastfeeding information recorded in structured fields in EHR from one health system for a subset of 211 patients who were also enrolled in a study on breast milk composition between 2014 and 2017 that required participants to exclusively breastfeed their infants until at least 1 month of age. We assessed the frequency of breastfeeding information in EHR during the first 12 months of age and compared lactation status based on EHR with maternal report at 1 and 6-month study visits (reference standard). RESULTS: The median number of breastfeeding records in the EHR per infant was six (interquartile range 3) with most observations clustering in the first few weeks of life and around well-infant visits. At the 6-month study visit, 93.8% of participants were breastfeeding and 80.1% were exclusively breastfeeding according to maternal report. Sensitivity of EHR data for identifying ever breastfeeding was at or near 100%, and sensitivity for identifying ever exclusive breastfeeding was 98.0% (95% CI: 95.0%, 99.2%). Sensitivities were 97.3% (95% CI: 93.9%, 98.9%) for identifying any breastfeeding and 94.4% (95% CI: 89.7%, 97.0%) for exclusive breastfeeding, and positive predictive values were 99.5% (95% CI: 97.0%, 99.9%) for any breastfeeding and 95.0% (95% CI: 90.4%, 97.4%) for exclusive breastfeeding. CONCLUSIONS: Breastfeeding information in structured EHR fields have the potential to accurately classify lactation status. The validity of these data should be assessed in populations with a lower breastfeeding prevalence.

Cumulative environmental stress and emerging cardiometabolic risk during childhood.

OBJECTIVE: To prospectively evaluate the relationship between cumulative environmental stress and cardiometabolic risk in middle childhood, and to examine whether hair cortisol, a measure of hypothalamic pituitary adrenal-axis activity, mediates this relationship. METHODS: In a cohort of children from low-income households (n = 320; 59% Hispanic, 23% Black, body mass index (BMI) percentile >50th at enrollment), environmental stressors including family and neighbourhood factors representing disadvantage/deprivation, and cortisol concentrations from hair samples, were measured over five timepoints beginning when children were 2-4 years old. Cardiometabolic risk factors (i.e., BMI, blood pressure, lipids, blood sugar, C-reactive protein) were measured at the final timepoint when children were 7-11 years of age. RESULTS: In adjusted logistic regression models, greater cumulative environmental stress was associated with a higher likelihood of elevated cardiometabolic risk in middle childhood (p = 0.01). Children from minoritized racial/ethnic groups had a higher prevalence of both stressors and cardiometabolic risk factors. Cumulative environmental stress was associated with higher hair cortisol concentrations (p < 0.01). However, hair cortisol was not directly associated with cardiometabolic risk factors and did not explain the association between environmental stress and cardiometabolic risk in causal mediation analysis. CONCLUSIONS: The influence of cumulative stress on cardiometabolic health can be observed in middle childhood and may contribute to cardiometabolic health disparities, highlighting the importance of public health interventions to mitigate disadvantage.

Household Income, Cortisol, and Obesity During Early Childhood: A Prospective Longitudinal Study.

OBJECTIVE: To prospectively evaluate the relationship between household income, children's cortisol, and body mass index (BMI) trajectories over a 3-year period in early childhood. STUDY DESIGN: Household income, child hair cortisol levels, and BMI were measured at baseline, 12-, 24-, and 36-month follow-up visits in the Now Everybody Together for Amazing and Healthful Kids (NET-Works) Study (n = 534, children ages 2-4 years, and household income <$65 000/year at baseline). Relationships were examined between very low household income (<$25 000/year) at baseline, income status over time (remained <$25 000/year or had increasing income), cortisol accumulation from hair samples, and BMI percent of the 95th percentile (BMIp95) trajectories using adjusted linear growth curve modeling. Households with baseline income between $25 000 and $65 000/year were the reference group for all analyses. RESULTS: Children from very low-income households at baseline had annual changes in BMIp95 that were higher (P < .001) than children from reference group households (0.40 vs -0.62 percentage units/year). Annual increases in BMIp95 were also greater among children from households that remained very low income (P < .01, .34 percentage units/year) and among those with increasing income (P = .01, .51 percentage units/year) compared with the reference group (-0.61 percentage units/year). Children from households that remained very low income had higher hair cortisol accumulations (0.22 pg/mg, P = .02) than reference group children, whereas hair cortisol concentrations of children from households with increasing income (0.03 pg/mg) did not differ significantly from the reference group. Cortisol was not related to BMIp95. CONCLUSIONS: The economic circumstances of families may impact children's BMI trajectories and their developing stress systems, but these processes may be independent of one another.

Race/ethnicity and age associations with hair cortisol concentrations among children studied longitudinally from early through middle childhood.

A total of 513 children were included in this secondary analysis of data from the NET-Works trial of low income children at risk for obesity. The purpose of the analysis was to examine HCC longitudinally over 5 assessments from early through middle childhood with the goal of i) determining if there were racial/ethnic differences in HCC, and if so, how early in childhood these differences could be observed; and (ii) whether racial/ethnic differences in HCC reflected structural and family-level indicators of disadvantage. The sample consisted of children from diverse racial/ethnic backgrounds: Black, including Hispanic Black (N = 156), non-Hispanic White (N = 67) and Non-Black Hispanic (N = 290) children. As the largest group, the last group was used as the reference group in analyses. Structural and family-level indicators of disadvantage, including the neighborhood child opportunity index (COI), family income, and parent perceived neighborhood safety, were collected at each assessment. The results showed higher HCC among Black children beginning as early as 2-4 years of age than non-Black Hispanic children who did not differ from non-Hispanic White children. Although family income and COI were lower for children from minoritized racial-ethnic backgrounds, entering these measures as covariates did not reduce the difference in HCC between Black children and the other two groups. The results also showed that HCC initially decreased with age and then plateaued, with no evidence that this pattern differed by race/ethnicity. Because of the potential health risks of chronically elevated cortisol concentrations, these data argue for increased attention to the myriad of factors (oppressive structures, systems, and interpersonal experiences) that likely contribute to elevated cortisol levels among Black children.

BestFIT Sequential Multiple Assignment Randomized Trial Results: A SMART Approach to Developing Individualized Weight Loss Treatment Sequences.

BACKGROUND: State-of-the-art behavioral weight loss treatment (SBT) can lead to clinically meaningful weight loss, but only 30-60% achieve this goal. Developing adaptive interventions that change based on individual progress could increase the number of people who benefit. PURPOSE: Conduct a Sequential Multiple Assignment Randomized Trial (SMART) to determine the optimal time to identify SBT suboptimal responders and whether it is better to switch to portion-controlled meals (PCM) or acceptance-based treatment (ABT). METHOD: The BestFIT trial enrolled 468 adults with obesity who started SBT and were randomized to treatment response assessment at Session 3 (Early TRA) or 7 (Late TRA). Suboptimal responders were re-randomized to PCM or ABT. Responders continued SBT. Primary outcomes were weight change at 6 and 18 months. RESULTS: PCM participants lost more weight at 6 months (-18.4 lbs, 95% CI -20.5, -16.2) than ABT participants (-15.7 lbs, 95% CI: -18.0, -13.4), but this difference was not statistically significant (-2.7 lbs, 95% CI: -5.8, 0.5, p = .09). PCM and ABT participant 18 month weight loss did not differ. Early and Late TRA participants had similar weight losses (p = .96), however, Early TRA PCM participants lost more weight than Late TRA PCM participants (p = .03). CONCLUSIONS: Results suggest adaptive intervention sequences that warrant further research (e.g., identify suboptimal responders at Session 3, use PCMs as second-stage treatment). Utilizing the SMART methodology to develop an adaptive weight loss intervention that would outperform gold standard SBT in a randomized controlled trial is an important next step, but may require additional optimization work. CLINICAL TRIAL INFORMATION: ClinicalTrials.gov identifier; NCT02368002.

Association of childhood abuse with behavioral weight-loss outcomes: Examining the mediating effect of binge eating severity.

OBJECTIVE: The study aims were to (1) document the relationship between a history of childhood abuse and weight change during behavioral obesity treatment and (2) estimate the indirect effect of childhood abuse on weight change through binge eating severity. METHODS: Participants (n = 431) were enrolled in a behavioral weight-loss intervention. Childhood physical and emotional abuse history and current binge eating severity were self-reported. Percent weight loss at 6 months was calculated using measured weight. Adjusted mediation models examined whether there was an indirect effect of childhood physical and emotional abuse on 6-month percent weight loss that operated through binge eating severity. RESULTS: After covariate adjustment, childhood physical abuse, but not emotional abuse, predicted a lower percent weight loss (B = -1.78%; 95% CI: -3.10% to -0.47%). Although childhood physical and emotional abuse were positively related to baseline binge eating severity, binge eating severity did not mediate the associations between either childhood abuse type and percent weight loss. CONCLUSIONS: Individuals with a childhood physical abuse history had a lower percent weight loss than those without such histories during behavioral obesity treatment. This effect was not explained by binge eating severity. Individuals with a history of childhood abuse may benefit from trauma-informed obesity care.

Discrepancies Between Clinician and Participant Intervention Adherence Ratings Predict Percent Weight Change During a Six-Month Behavioral Weight Loss Intervention.

BACKGROUND: Individuals receiving behavioral weight loss treatment frequently fail to adhere to prescribed dietary and self-monitoring instructions, resulting in weight loss clinicians often needing to assess and intervene in these important weight control behaviors. A significant obstacle to improving adherence is that clinicians and clients sometimes disagree on the degree to which clients are actually adherent. However, prior research has not examined how clinicians and clients differ in their perceptions of client adherence to weight control behaviors, nor the implications for treatment outcomes. PURPOSE: In the context of a 6-month weight-loss treatment, we examined differences between participants and clinicians when rating adherence to weight control behaviors (dietary self-monitoring; limiting calorie intake) and evaluated the hypothesis that rating one's own adherence more highly than one's clinician would predict less weight loss during treatment. METHODS: Using clinician and participant-reported measures of self-monitoring and calorie intake adherence, each assessed using a single item with a 7- or 8-point scale, we characterized discrepancies between participant and clinician adherence and examined associations with percent weight change over 6 months using linear mixed-effects models. RESULTS: Results indicated that ratings of adherence were higher when reported by participants and supported the hypothesis that participants who provided higher adherence ratings relative to their clinicians lost less weight during treatment (p < 0.001). CONCLUSIONS: These findings suggest that participants in weight loss treatment frequently appraise their own adherence more highly than their clinicians and that participants who do so to a greater degree tend to lose less weight.

Using targeting to recruit men and women of color into a behavioral weight loss trial.

BACKGROUND: The majority of participants in weight loss trials are non-Hispanic White women, while men and women of color are underrepresented. This study presents data obtained from non-targeted and targeted recruitment approaches in a trial of behavioral weight loss programs to (1) describe the yields from each approach and (2) compare the demographics, weight control histories, and study involvement of samples recruited by each approach. METHODS: Data for this observational study include source of recruitment, demographic information, weight loss experiences (e.g., lifetime weight loss, current weight loss behaviors), and completion of the 6-month assessment visit. RESULTS: Men comprised 14.2% of participants who responded to non-targeted recruitment efforts, while targeted efforts yielded 50.4% men. Similarly, people of color comprised 12.8% of those who responded to non-targeted approaches, whereas targeted recruitment methods yielded 47.2% people of color. Men recruited through targeted methods were younger (p = 0.01) than men recruited through non-targeted means but were otherwise similar. Women of color recruited through targeted methods reported use of fewer weight loss strategies relative to women of color recruited through non-targeted means (p = 0.006) but were otherwise similar. There were no differences by recruitment method on retention to the study. CONCLUSIONS: Using targeted recruitment methods increased the ethnic and gender diversity of the recruited sample without reducing study retention. This targeting also increased the enrollment of women with less weight loss experience who may not have otherwise sought out a weight loss program. Developing and implementing a targeted recruitment plan should be considered early in the clinical trial development process. TRIAL REGISTRATION: Clinicaltrials.gov, NCT02368002. Registered on 20 February 2015.

The Healthy Homes/Healthy Kids 5-10 Obesity Prevention Trial: 12 and 24-month outcomes.

BACKGROUND: Pediatric primary care is an important setting for addressing obesity prevention. OBJECTIVE: The Healthy Homes/Healthy Kids 5-10 randomized controlled trial evaluated the efficacy of an obesity prevention intervention integrating pediatric primary care provider counseling and parent-targeted phone coaching. METHODS: Children aged 5 to 10 years with a BMI between the 70th and 95th percentile and their parents were recruited from pediatric primary care clinics. Participants received well-child visit provider counseling about obesity and safety/injury prevention and were then randomized to a 14-session phone-based obesity prevention (OP; n = 212) or safety and injury prevention contact control (CC; n = 209) intervention. The primary outcome was 12 and 24-month child BMI percentile. RESULTS: There was no overall significant treatment effect on child BMI percentile. Caloric intake was significantly lower among OP compared with CC participants at 12 months (P < .005). In planned subgroup analyses, OP condition girls had significantly lower BMI percentile (P < .05) and BMI z-score (P < .02) at 12 and 24 months relative to CC girls and were less likely to be overweight (38.0% vs 53.0%, P < .01) or (obese 3.4% vs 8.8%, P < .10) at follow-up. CONCLUSIONS AND RELEVANCE: An obesity prevention intervention integrating brief provider counseling and parent-targeted phone counseling did not impact 12 and 24-month BMI status overall but did have a significant impact on BMI in girls.

Parent Choice in a Pediatric Obesity Prevention Intervention.

BACKGROUND: There is value in having parents choose which behaviors to address in obesity interventions, but it is unknown whether they choose behaviors that will effectively impact healthy growth. This study assessed whether child behaviors or parent intention to change behaviors were associated with behaviors parents chose to discuss. METHODS: Parent intention to change specific behaviors and time spent discussing behaviors was coded during intervention sessions. RESULTS: Child activity, screen-time, energy intake, breakfast, and family meals were associated with time spent discussing these behaviors. Fewer associations were seen between parent intention and time spent discussing these behaviors. CONCLUSIONS: Results suggest that in interventions allow choice, parents may choose to discuss the weight-related behaviors their children need to address.

The BestFIT trial: A SMART approach to developing individualized weight loss treatments.

Behavioral weight loss programs help people achieve clinically meaningful weight losses (8-10% of starting body weight). Despite data showing that only half of participants achieve this goal, a "one size fits all" approach is normative. This weight loss intervention science gap calls for adaptive interventions that provide the "right treatment at the right time for the right person." Sequential Multiple Assignment Randomized Trials (SMART), use experimental design principles to answer questions for building adaptive interventions including whether, how, or when to alter treatment intensity, type, or delivery. This paper describes the rationale and design of the BestFIT study, a SMART designed to evaluate the optimal timing for intervening with sub-optimal responders to weight loss treatment and relative efficacy of two treatments that address self-regulation challenges which impede weight loss: 1) augmenting treatment with portion-controlled meals (PCM) which decrease the need for self-regulation; and 2) switching to acceptance-based behavior treatment (ABT) which boosts capacity for self-regulation. The primary aim is to evaluate the benefit of changing treatment with PCM versus ABT. The secondary aim is to evaluate the best time to intervene with sub-optimal responders. BestFIT results will lead to the empirically-supported construction of an adaptive intervention that will optimize weight loss outcomes and associated health benefits.

Recruitment and retention in obesity prevention and treatment trials targeting minority or low-income children: a review of the clinical trials registration database.

BACKGROUND: Efforts to recruit and retain participants in clinical trials are challenging, especially in studies that include minority or low-income children. To date, no studies have systematically examined recruitment and retention strategies and their effectiveness in working successfully with this population. We examined strategies employed to recruit or retain minority or low-income children in trials that included an obesity-related behavior modification component. METHODS: First, completed home-, community-, and school-based trials involving minority or low-income children aged 2-17 years were identified in a search of the ClinicalTrials.gov registry. Second, a PubMed search of identified trials was conducted to locate publications pertinent to identified trials. Recruitment and retention rates were calculated for studies that included relevant information. RESULTS: Our final analytic sample included 43 studies. Of these, 25 studies reported recruitment or retention strategies, with the amount of information varying from a single comment to several pages; 4 published no specific information on recruitment or retention; and 14 had no publications listed in PubMed. The vast majority (92 %) of the 25 studies reported retention rates of, on average, 86 %. Retention rates were lower in studies that: targeted solely Hispanics or African Americans (vs. mixed races of African Americans, whites, and others); involved children and parents (vs. children only); focused on overweight or obese children (vs. general children), lasted ≥1 year (vs. <1 year), were home or community-based (vs. school-based), included nutrition and physical activity intervention (vs. either intervention alone), had body mass index or other anthropometrics as primary outcome measures (vs. obesity-related behavior, insulin sensitivity, etc.). Retention rates did not vary based on child age, number of intervention sessions, or sample size. CONCLUSIONS: Variable amounts of information were provided on recruitment and retention strategies in obesity-related trials involving minority or low-income children. Although reported retention rates were fairly high, a lack of reporting limited the available information. More and consistent reporting and systematic cataloging of recruitment and retention methods are needed. In addition, qualitative and quantitative studies to inform evidence-based decisions in the selection of effective recruitment and retention strategies for trials including minority or low-income children are warranted.

Objectively coding intervention fidelity during a phone-based obesity prevention study.

BACKGROUND: Childhood obesity prevention studies have yielded disappointing results. Understanding intervention fidelity is necessary in explaining why interventions are (or are not) successful and ultimately improving future intervention. In spite of this, intervention fidelity it is not consistently reported in the obesity prevention literature. The purpose of the current study was to develop and utilize a coding protocol to objectively assess intervention fidelity in a phone-based obesity prevention study for parents of preschool-aged children. FINDINGS: Both interventionists and independent coders completed session fidelity measures including time spent on target areas (media use, physical activity, etc.) and components of goal setting quality. Coders also rated participant engagement. Agreement between ratings by interventionists and coders, fidelity levels and changes in fidelity components over time are presented. Coders and interventionists showed high agreement when reporting time spent discussing different target areas. Interventionists consistently rated themselves higher than independent coders on measures of goal quality. Coder ratings of session quality were initially high, but some components declined slightly across the eight sessions. CONCLUSIONS: Future directions for intervention fidelity measurement and analysis are discussed, including utilizing changes in fidelity measures over time to predict study outcomes. Obtaining a more in-depth understanding of intervention fidelity has the potential to strengthen obesity interventions.

A Review of Primary Care-Based Childhood Obesity Prevention and Treatment Interventions.

Effective obesity prevention and treatment interventions targeting children and their families are needed to help curb the obesity epidemic. Pediatric primary care is a promising setting for these interventions, and a growing number of studies are set in this context. This review aims to identify randomized controlled trials of pediatric primary care-based obesity interventions. A literature search of 3 databases retrieved 2947 publications, of which 2899 publications were excluded after abstract (n=2722) and full-text review (n=177). Forty-eight publications, representing 31 studies, were included in the review. Eight studies demonstrated a significant intervention effect on child weight outcomes (e.g., BMI z-score, weight-for-length percentile). Effective interventions were mainly treatment interventions, and tended to focus on multiple behaviors, contain weight management components, and include monitoring of weight-related behaviors (e.g., dietary intake, physical activity, or sedentary behaviors). Overall, results demonstrate modest support for the efficacy of obesity treatment interventions set in primary care.

Disability and Discussions of Health-Related Behaviors Between Youth and Health Care Providers.

PURPOSE: The purpose of this study was to examine the likelihood of discussing health-related behaviors with health care providers (HCPs), comparing youth with and without mobility limitations (MLs). METHODS: Analyses were conducted using baseline data from the MyPath study. Adolescents and young adults between the ages of 16 and 24 years completed a survey about their health care and health-related experiences. Analyses assessed the relationship between mobility status and discussing health-related behaviors with an HCP. Secondary analyses examined the extent to which adolescents and young adults' engagement in these behaviors was associated with these discussions. RESULTS: Overall, we found low rates of discussions about the following topics: substance use, sexual and reproductive health, healthy eating, weight, and physical activity. Adolescents and young adults with MLs were less likely to report discussing substance use and sexual and reproductive health, but were more likely to discuss healthy eating, weight, and physical activity than peers without MLs. Those adolescents and young adults who reported substance use had higher odds of discussing this topic and those who reported having sexual intercourse had higher odds of discussing sexual and reproductive health. CONCLUSIONS: Results suggest mobility status and a young person's engagement in health risk and promoting behaviors are associated with the likelihood of discussing these behaviors with an HCP. It is important that HCPs view adolescents and young adults with MLs as needing the same counseling and guidance about health-related behaviors as any young person presenting him/herself for treatment.

Household factors, family behavior patterns, and adherence to dietary and physical activity guidelines among children at risk for obesity.

OBJECTIVE: To describe the proportion of children adhering to recommended physical activity and dietary guidelines, and examine demographic and household correlates of guideline adherence. DESIGN: Cross-sectional (pre-randomization) data from a behavioral intervention trial designed to prevent unhealthy weight gain in children. PARTICIPANTS: A total of 421 children (aged 5-10 years) at risk for obesity (body mass index percentile, 70-95). MAIN OUTCOMES MEASURED: Physical activity (accelerometry), screen time (parent survey), and fruit and vegetable and sugar-sweetened beverage intake (24-hour dietary recall). ANALYSIS: Proportions meeting guidelines were calculated. Logistic regression examined associations between demographic and household factors and whether children met recommended guidelines for (1) physical activity (≥ 60 min/d), (2) screen time (≤ 2 h/d), (3) fruit and vegetable intake (≥ 5 servings/d), and (4) sugar-sweetened beverage avoidance. RESULTS: Few children met more than 1 guideline. Only 2% met all 4 recommended guidelines and 19% met none. Each guideline had unique sociodemographic and domain-specific household predictors (ie, availability of certain foods and beverages, media, and active play and exercise equipment). CONCLUSIONS AND IMPLICATIONS: Families equipped to promote healthy child behavior patterns in 1 activity or dietary domain may not be in others. Results have implications for the development of interventions to affect children's weight-related behaviors and growth trajectories.

Activity Patterns of Preschool-Aged Children at Risk for Obesity.

BACKGROUND: Although the prevalence of obesity in young children highlights the importance of early interventions to promote physical activity (PA), there are limited data on activity patterns in this age group. The purpose of this study was to describe activity patterns in preschool-aged children and explore differences by weight status. METHODS: Analyses use baseline data from Healthy Homes/Healthy Kids-Preschool, a pilot obesity prevention trial of preschool-aged children who are overweight or at risk for being overweight. A modified parent-reported version of the previous-day PA recall was used to summarize types of activity. Accelerometry was used to summarize daily and hourly activity patterns. RESULTS: "Playing with toys" accounted for the largest proportion of a child's previous day, followed by "meals and snacks" and "chores." Accelerometry-measured daily time spent in sedentary behavior, light PA, and moderate-to-vigorous PA (MVPA) was 412, 247, and 69 minutes, respectively. Percentage of hourly time spent in MVPA ranged from 3% to 13%, peaking in the late morning and evening hours. There were no statistically significant MVPA differences by weight status. CONCLUSIONS: This study extends our understanding of activity types, amounts, and patterns in preschool-aged children and warrants further exploration of differences in PA patterns by weight status.

Eating behaviors and quality of life in preadolescents at risk for obesity with and without abdominal pain.

OBJECTIVES: We evaluated eating behaviors and quality of life (QOL) in preadolescent children at risk for obesity, with and without abdominal pain (AP). METHODS: Participants were parent-child dyads enrolled in a randomized, controlled obesity prevention trial. The children were between 5 and 10 years of age and at risk for obesity (70th-95th percentile of body mass index, n = 420). Parents completed measures of their child's eating behaviors, QOL, AP, and bowel function and their own depression status, concern about child weight, and feeding practices. Children's height and weight were also measured. RESULTS: Children with frequent AP (≥2/month, n = 103) were compared with children reporting infrequent AP (<2/month, n = 312). Age and body mass index did not differ between groups, but AP was more prevalent in girls. Child emotional overeating and parental depression scores were higher in the frequent AP group (P < 0.01), and child QOL was lower (P < 0.01). In multivariable analysis, female gender (odds ratio [OR] 2.18, 95% confidence interval [CI] 1.20-3.97), emotional overeating (OR 2.28, 95% CI 1.37-3.81), and parental depression (OR 1.23, 95% CI 1.12-1.35) were associated with more frequent AP. Secondary analyses were completed for children who met Rome III criteria for irritable bowel syndrome. CONCLUSIONS: Clinicians working with children with AP at risk for obesity should consider assessing for and, when appropriate, addressing parent and child factors that could exacerbate AP.

Concern about Child Weight among Parents of Children At-Risk for Obesity.

OBJECTIVES: This study investigated the relationship between parental concern about child weight and weight-related child behaviors, parenting practices, and household characteristics. METHODS: Parent-child dyads (N=421) enrolled in a randomized, controlled obesity prevention trial were evaluated at baseline. RESULTS: Parental concern regarding child weight was associated with greater use of restrictive and monitoring feeding practices and lower total child energy intake. CONCLUSIONS: Parents expressing greater concern about child weight were more likely to report engaging in strategies to regulate their child's dietary intake, some of which may inadvertently have negative consequences. Intervention strategies that activate parental concern about child weight should include guidance and support for engaging in feeding practices that support healthful child eating patterns and growth.

Healthy Homes/Healthy Kids: a randomized trial of a pediatric primary care-based obesity prevention intervention for at-risk 5-10 year olds.

Pediatric primary care is an important setting in which to address obesity prevention, yet relatively few interventions have been evaluated and even fewer have been shown to be effective. The development and evaluation of cost-effective approaches to obesity prevention that leverage opportunities of direct access to families in the pediatric primary care setting, overcome barriers to implementation in busy practice settings, and facilitate sustained involvement of parents is an important public health priority. The goal of the Healthy Homes/Healthy Kids (HHHK 5-10) randomized controlled trial is to evaluate the efficacy of a relatively low-cost primary care-based obesity prevention intervention aimed at 5 to 10 year old children who are at risk for obesity. Four hundred twenty one parent/child dyads were recruited and randomized to either the obesity prevention arm or a Contact Control condition that focuses on safety and injury prevention. The HHHK 5-10 obesity prevention intervention combines brief counseling with a pediatric primary care provider during routine well child visits and follow-up telephone coaching that supports parents in making home environmental changes to support healthful eating, activity patterns, and body weight. The Contact Control condition combines the same provider counseling with telephone coaching focused on safety and injury prevention messages. This manuscript describes the study design and baseline characteristics of participants enrolled in the HHHK 5-10 trial.