Dietary patterns and associations with BMI in low-income, ethnic minority youth in the USA according to baseline data from four randomised controlled trials.

Few studies have derived data-driven dietary patterns in youth in the USA. This study examined data-driven dietary patterns and their associations with BMI measures in predominantly low-income, racial/ethnic minority US youth. Data were from baseline assessments of the four Childhood Obesity Prevention and Treatment Research (COPTR) Consortium trials: NET-Works (534 2-4-year-olds), GROW (610 3-5-year-olds), GOALS (241 7-11-year-olds) and IMPACT (360 10-13-year-olds). Weight and height were measured. Children/adult proxies completed three 24-h dietary recalls. Dietary patterns were derived for each site from twenty-four food/beverage groups using k-means cluster analysis. Multivariable linear regression models examined associations of dietary patterns with BMI and percentage of the 95th BMI percentile. Healthy (produce and whole grains) and Unhealthy (fried food, savoury snacks and desserts) patterns were found in NET-Works and GROW. GROW additionally had a dairy- and sugar-sweetened beverage-based pattern. GOALS had a similar Healthy pattern and a pattern resembling a traditional Mexican diet. Associations between dietary patterns and BMI were only observed in IMPACT. In IMPACT, youth in the Sandwich (cold cuts, refined grains, cheese and miscellaneous) compared with Mixed (whole grains and desserts) cluster had significantly higher BMI (ß = 0·99 (95 % CI 0·01, 1·97)) and percentage of the 95th BMI percentile (ß = 4·17 (95 % CI 0·11, 8·24)). Healthy and Unhealthy patterns were the most common dietary patterns in COPTR youth, but diets may differ according to age, race/ethnicity or geographic location. Public health messages focused on healthy dietary substitutions may help youth mimic a dietary pattern associated with lower BMI.

Evaluating dose delivered of a behavioral intervention for childhood obesity prevention: a secondary analysis.

BACKGROUND: Current recommendations for intensive behavioral interventions for childhood obesity treatment do not account for variable participant attendance, optimal duration of the intervention, mode of delivery (phone vs. face-to-face), or address obesity prevention among young children. A secondary analysis of an active one-year behavioral intervention for childhood obesity prevention was conducted to test how "dose delivered" was associated with body mass index z-score (BMI-Z) across 3 years of follow-up. METHODS: Parent-child pairs were eligible if they qualified for government assistance and spoke English or Spanish. Children were between three and 5 years old and were at risk for but not yet obese (BMI percentiles ≥50th and < 95th). The intended intervention dose was 18 h over 3-months via 12 face-to-face "intensive sessions" (90 min each) and 6.75 h over the next 9 months via 9 "maintenance phone calls" (45 min each). Ordinary least-squares multivariable regression was utilized to test for associations between dose delivered and child BMI-Z immediately after the 1-year intervention, and at 2-, and 3-year follow-up, including participants who were initially randomized to the control group as having "zero" dose. RESULTS: Among 610 parent-child pairs (intervention n = 304, control n = 306), mean child age was 4.3 (SD = 0.9) years and 51.8% were female. Mean dose delivered was 10.9 (SD = 2.5) of 12 intensive sessions and 7.7 (SD = 2.4) of 9 maintenance calls. Multivariable linear regression models indicated statistically significant associations of intensive face-to-face contacts (B = -0.011; 95% CI [- 0.021, - 0.001]; p = 0.029) and maintenance calls (B = -0.015; 95% CI [- 0.026, - 0.004]; p = 0.006) with lower BMI-Z immediately following the 1-year intervention. Their interaction was also significant (p = 0.04), such that parent-child pairs who received higher numbers of both face-to-face intensive sessions (> 6) and maintenance calls (> 8) were predicted to have lower BMI-Z. Sustained impacts were not statistically significant at 2- or 3-year follow-up. CONCLUSIONS: In a behavioral intervention for childhood obesity prevention, the combination of a modest dose of face-to-face sessions (> 6 h over 3 months) with sustained maintenance calls (> 8 calls over 9 months) was associated with improved BMI-Z at 1-year for underserved preschool aged children, but sustained impacts were not statistically significant at 2 or 3 year follow-up. CLINICAL TRIAL REGISTRATION: The trial was registered on ClinicalTrials.gov (NCT01316653) on March 16, 2011, which was prior to participant enrollment.

The Effect of a General Healthy Lifestyle Intervention Delivered Around Pregnancy on Gestational Weight Gain and Infant Growth.

OBJECTIVES: A life-course perspective emphasizes healthy behaviors before, during, and after pregnancy to support a multi-generational risk reduction in obesity for mothers and infants. Optimal timing, content, and dose of such interventions is not well defined. METHODS: We conducted a nested cohort within a randomized trial to evaluate whether a healthy lifestyle intervention around pregnancy led to a "spill-over effect," including a healthier rate (kg/week) of maternal gestational weight gain, and infant growth during the first year. Study enrollment began in 2012, follow-up data collection completed in 2018, and the data were analyzed in 2019. The intervention focused on healthy maternal diet and physical activity but not pregnancy weight or infant feeding. Outcome data were abstracted from electronic medical records. RESULTS: Of the 165 women who became pregnant, 114 enrolled in the nested cohort. The average pre-pregnancy BMI was 29.6 (SD 5.1) kg/m2. Mixed effects models suggested clinically insignificant differences in both the rate of gestational weight gain (-0.02 kg/week; 95% CI -0.09, 0.06) and the rate of infant growth (difference at 1 year: -0.002 kg/cm; 95% CI -0.009, 0.005). CONCLUSIONS FOR PRACTICE: A behavioral intervention that focused on overall maternal health delivered in the time around pregnancy did not result in a "spill-over effect" on healthy gestational weight gain or healthy infant growth during the first year of life. TRIAL REGISTRATION: This study is registered at www.clinicaltrials.gov NCT01316653.

Effect of a Behavioral Intervention for Underserved Preschool-Age Children on Change in Body Mass Index: A Randomized Clinical Trial.

Importance: Prevention of obesity during childhood is critical for children in underserved populations, for whom obesity prevalence and risk of chronic disease are highest. Objective: To test the effect of a multicomponent behavioral intervention on child body mass index (BMI, calculated as weight in kilograms divided by height in meters squared) growth trajectories over 36 months among preschool-age children at risk for obesity. Design, Setting, and Participants: A randomized clinical trial assigned 610 parent-child pairs from underserved communities in Nashville, Tennessee, to a 36-month intervention targeting health behaviors or a school-readiness control. Eligible children were between ages 3 and 5 years and at risk for obesity but not yet obese. Enrollment occurred from August 2012 to May 2014; 36-month follow-up occurred from October 2015 to June 2017. Interventions: The intervention (n = 304 pairs) was a 36-month family-based, community-centered program, consisting of 12 weekly skills-building sessions, followed by monthly coaching telephone calls for 9 months, and a 24-month sustainability phase providing cues to action. The control (n = 306 pairs) consisted of 6 school-readiness sessions delivered over the 36-month study, conducted by the Nashville Public Library. Main Outcomes and Measures: The primary outcome was child BMI trajectory over 36 months. Seven prespecified secondary outcomes included parent-reported child dietary intake and community center use. The Benjamini-Hochberg procedure corrected for multiple comparisons. Results: Participants were predominantly Latino (91.4%). At baseline, the mean (SD) child age was 4.3 (0.9) years; 51.9% were female. Household income was below $25 000 for 56.7% of families. Retention was 90.2%. At 36 months, the mean (SD) child BMI was 17.8 (2.2) in the intervention group and 17.8 (2.1) in the control group. No significant difference existed in the primary outcome of BMI trajectory over 36 months (P = .39). The intervention group children had a lower mean caloric intake (1227 kcal/d) compared with control group children (1323 kcal/d) (adjusted difference, -99.4 kcal [95% CI, -160.7 to -38.0]; corrected P = .003). Intervention group parents used community centers with their children more than control group parents (56.8% in intervention; 44.4% in control) (risk ratio, 1.29 [95% CI, 1.08 to 1.53]; corrected P = .006). Conclusions and Relevance: A 36-month multicomponent behavioral intervention did not change BMI trajectory among underserved preschool-age children in Nashville, Tennessee, compared with a control program. Whether there would be effectiveness for other types of behavioral interventions or implementation in other cities would require further research. Trial Registration: ClinicalTrials.gov Identifier: NCT01316653.

Relational Approaches to Community-Based Health Promotion Across Scales of Practice.

In this article, we describe a personalized approach to meeting individual and community health needs that foregrounds relational learning. This article analyzes how relational approaches to learning expand participants' objectives and result in more enduring learning. We report on mixed methods data from interviews, focus groups, surveys, and goal setting and monitoring. Analyses reveal that relationships de confianza served as a central tool in supporting participants' agency to enact change across scales of practice to promote the health of themselves, their families, and their communities.

Identifying meaningful dietary intake and physical activity questions for individual and population health.

We aimed to identify valid screening questions for adults regarding physical activity and dietary behaviours that (a) were correlated with BMI, (b) were deemed by patients and providers to be relevant to clinical care, and (c) have utility for longitudinal understanding of health behaviours in populations. The goal was to identify screening questions that could be implemented at annual health care visits. First, we identified dietary behaviour questions and solicited patient input. Next, we tested both physical activity and dietary behaviour questions in a large sample to test their potential utility. Finally, we used cognitive interviews with patients and physicians to narrow our assessment for clinical settings. We present a parsimonious and reliable six-question scale of physical activity and dietary behaviours for research settings, as well as a three-question scale for clinical settings. We demonstrate a robust relationship between these measures and obesity. Additionally, we present evidence that these measures may serve as a useful red flag for patients before they develop obesity. We provide a concise and useful tool for assessing patients' physical activity and dietary behaviours in a variety of research settings. We also highlight the importance of incorporating this tool into the clinical intake flow for inclusion in patients' Electronic Health Record.

Development of Brief Child Nutrition and Physical Activity Screening Questions for Electronic Health Record Use.

Background: To develop and test brief nutrition and physical activity screening questions for children ages 2-11 years that could be used as a pragmatic screening tool to tailor counseling, track behavior change, and improve population health. Methods: A literature review identified existing validated questions for nutrition and physical activity behaviors in children ages 2-11 years. Response variation and concurrent validity was then assessed using a mechanical Turk (MTurk) crowdsourcing survey employed in 2018. Additionally, cognitive interviews were conducted with both providers and parents of 2- to 11-year-old children to assess screening question priorities and perceived added value. Results: The literature review identified 260 questions, and 20 items were selected with expert guidance based on prespecified criteria (simplicity and potential utility for both clinical interactions during a well-child exam and population health). MTurk surveys yielded 1147 records that met eligibility criteria and revealed 6 items that had adequate response variation and were significantly correlated with parent-reported child BMI or BMI percentile, exhibiting concurrent validity. Cognitive interviews with 10 providers and 20 parents uncovered themes regarding suggestions and usability of the questions, eliminating 3 items due to parent and provider concerns. Combining quantitative and qualitative results, 3 nutrition and physical activity screening items remained for inclusion into the electronic health record (EHR). Conclusions: The three-pronged validation methodology produced a brief, 3-item child nutrition and physical activity screener to incorporate in the EHR, where it can inform tailored counseling for well-child care and be used to test associations with population health outcomes.

Qualitative analysis of COACH: A community-based behavioral intervention to reduce obesity health disparities within a marginalized community.

BACKGROUND: The purpose of this study was to conduct a qualitative evaluation of a behavioral intervention to prevent and treat childhood obesity in minority children. Using qualitative methods to augment understanding of intervention success may be one way to gain insight into the types of behavior change strategies that are most effective in childhood obesity interventions. METHODS: COACH was a randomized controlled trial of 117 Latino parent-child (ages 3-5) pairs in Nashville, TN that resulted in improved child BMI in intervention vs. control families at 1-year follow-up. All participant parents were invited to focus groups after the trial. Discussions were audiotaped, transcribed, and translated into English. A hierarchical coding scheme was generated, and qualitative analysis done using an inductive/deductive approach. Both theme saturation and consensus between the coders were achieved. Responses were compared between intervention and control groups. RESULTS: We conducted seven focus groups with 43 participants. 4 themes emerged from the intervention group: 1) perceived barriers to health behavior change; 2) strategies learned to overcome perceived barriers; 3) behavioral changes made in response to the program; and 4) knowledge, skills, and agency for family health behaviors. 4 themes emerged from the control group: 1) a desire to engage in health behaviors without specific strategies; 2) common set of barriers to health behavior change; 3) engagement in literacy activities, including creative problem-solving strategies; and 4) changes made in response to study visits. Analysis of coded data showed the intervention increased healthy behaviors (e.g., fruit/vegetable consumption) despite barriers (e.g., time, cost, culture, family dynamics). Intervention participants described using specific behavior change strategies promoted by the intervention including: substituting ingredients in culturally-normative recipes; avoiding grocery shopping when hungry; and coping with inability to meet goals with acceptance and problem-solving. Control participants reported little success in achieving healthy changes for their family. Intervention participants described successful health behavior changes that were shared across generations and were maintained after the program. Intervention participants reported increased awareness of their own agency in promoting their health. CONCLUSIONS: Qualitative evaluation of COACH provides a more detailed understanding of the intervention's quantitative effectiveness: child and adult health behaviors and personal agency were improved.

Competency-Based Approaches to Community Health: A Randomized Controlled Trial to Reduce Childhood Obesity among Latino Preschool-Aged Children.

Background: Health behavior change interventions that target childhood obesity in minority populations have led to inconsistent and short-lived results. The purpose of this study was to test a novel intervention that was personalized and family-based in a Latino population to reduce childhood obesity. Methods: Competency-Based Approaches to Community Health (COACH) was a randomized controlled trial. Latino parent-child pairs were recruited from community settings in Nashville, TN. Child eligibility criteria included age 3-5 years and a BMI ≥50th percentile. The intervention included 15 weekly, 90-minute sessions followed by 3 months of twice-monthly health coaching calls. The control group was a twice-monthly school readiness curriculum for 3 months. Sessions were conducted by a health coach in local community centers, with groups of 8-11 parent-child pairs. The primary outcome was child BMI trajectory across 12 months, measured at four times. The intervention's effect was assessed by using a longitudinal, linear mixed-effects growth model, adjusting for child gender, baseline child and parent age, and baseline parent BMI and education. Results: Of the 305 parent-child pairs assessed for eligibility, 117 were randomized (59 intervention, 58 control). Child BMI was available for 91.5% at 1-year follow-up. Mean baseline child age was 4.2 [standard deviation (SD) = 0.8] years, and 53.8% of children were female. Mean baseline child BMI was 18.1 (SD = 2.6) kg/m2. After adjusting for covariates, the intervention's effect on linear child BMI growth was -0.41 kg/m2 per year (95% confidence interval -0.82 to 0.01; p = 0.05). Conclusions: Over 1-year follow-up, the intervention resulted in slower linear BMI growth for Latino preschool-aged children from poverty.

Competency Based Approach to Community Health (COACH): The methods of a family-centered, community-based, individually adaptive obesity randomized trial for pre-school child-parent pairs.

Competency-Based Approaches to Community Health (COACH) is a randomized controlled trial of a family-centered, community-based, and individually-tailored behavioral intervention for childhood obesity among Latino pre-school children. COACH focuses on improving personal agency for health behavior change by tailoring content to overcome contextual barriers. The intervention focuses on diet, physical activity, sleep, media use, and engaged parenting. The content is individually adapted based on routine assessments of competency in specific health behaviors using a mobile health platform and novel measurement tools developed by our team. In response to these regular assessments, health coaches provide tailored health behavior change strategies to help families focus on the areas where they decide to improve the most. The intervention consists of a 15-week group-based intensive phase, with weekly sessions delivered by health coaches in community centers. Following weekly sessions, a 3-month maintenance phase of the intervention consists of twice monthly coaching calls for participants to focus on individual health goals for their families. The primary outcome of the trial is child body mass index trajectory over 1 year. Secondary outcomes include parent body mass index change, child waist circumference, child diet, child physical activity, and other psychosocial mediators of child health behavior change. The control arm consists of a school readiness intervention, delivered by the Nashville Public Library. By applying a personalized approach to child behavior change, in the setting of both family and community, COACH aims to develop sustainable solutions for childhood obesity by supporting healthy childhood growth in low-income, minority preschool children.