How the Environmental influences on Child Health Outcome (ECHO) Cohort can spur discoveries in environmental epidemiology.

NIH's Environmental influences on Child Health Outcome (ECHO) program is an innovative, large, collaborative research initiative whose mission is to enhance the health of children for generations to come. The goal of the ECHO Cohort is to examine effects of a broad array of early environmental exposures on child health and development. It includes longitudinal data and biospecimens from over 100,000 children and family members from diverse settings across the U.S. ECHO investigators have published collaborative analyses showing associations of environmental exposures--primarily in the developmentally sensitive pre-, peri-, and post-natal periods--with preterm birth and childhood asthma, obesity, neurodevelopment, and positive health. Investigators have addressed health disparities, joint effects of environmental and social determinants, and effects of mixtures of chemicals. The ECHO Cohort is now entering its second 7-year cycle (2023-2030), which will add the preconception period to its current focus on prenatal through adolescence. Through a controlled access public use database, ECHO makes its deidentified data available to the general scientific community. ECHO Cohort data provide opportunities to fill major knowledge gaps in in environmental epidemiology, and to inform policies, practices, and programs to enhance child health.

Desafíos de medición para la investigación de la obesidad infantil en y entre América Latina y Estados Unidos.

La obesidad infantil es un grave problema de salud pública en Latinoamérica y Estados Unidos y para luchar contra ella se precisan instrumentos de medición válidos y fiables y que tengan en cuenta los aspectos culturales. Para avanzar en este campo sería útil mejorar las mediciones en los distintos grupos de edades y países del continente americano, tanto en las comunidades de origen como en las de acogida. Además, una mayor precisión y comparabilidad de las mediciones contribuiría a acelerar la colaboración y el aprendizaje transfronterizos. En este documento presentamos (1) los marcos conceptuales que han influido en nuestra perspectiva sobre la obesidad infantil y las necesidades relacionadas con su medición en el continente americano; (2) un resumen de los recursos y guías existentes sobre los instrumentos de medida y su adaptación a la investigación de la obesidad infantil; (3) tres áreas clave que plantean desafíos y oportunidades para avanzar en la medición de la obesidad infantil, incluidas las conductas parentales, la aculturación y el potencial de utilizar métodos etnográficos para identificar los factores clave relacionados con la economía y la globalización. El progreso para reducir la obesidad infantil en las Américas podría acelerarse mediante mayor colaboración transnacional destinada a optimizar la medición para una mejor vigilancia, desarrollo y evaluación de intervenciones, investigación de implementación y evaluación de los experimentos naturales. Además, es necesario mejorar la formación sobre los instrumentos de medición y el acceso a medidas válidas y fiables tanto en español como en otros idiomas de uso frecuente en las Américas.

Prevención transfronteriza de la obesidad infantil: comentario de los National Institutes of Health.

En respuesta al aumento de las tasas de obesidad infantil, Estados Unidos y algunos países de Latinoamérica han financiado numerosos estudios que analizan estrategias e intervenciones innovadoras. A pesar de ello, los avances han sido lentos, irregulares y esporádicos, lo cual demuestra la necesidad de intensificar el intercambio de conocimientos y la colaboración en la investigación para acelerar la adaptación e implementación de intervenciones prometedoras en el campo de la obesidad infantil. Con la intención de compartir resultados de estudios, problemas y estrategias de intervención de probada eficacia entre los investigadores latinoamericanos y estadounidenses (especialmente los que trabajan con poblaciones latinas y latinoamericanas), los National Institutes of Health (NIH) reunieron a investigadores de Estados Unidos y Latinoamérica para destacar las sinergias entre los estudios de Latinoamérica y los realizados en poblaciones latinas de Estados Unidos. El fin último de esta iniciativa fue catalizar nuevas relaciones e identificar preguntas y estrategias comunes para la investigación. Este artículo se centra en la investigación y las prioridades de los NIH en materia de prevención de la obesidad infantil, así como en las áreas para futuras acciones, incluidos los planes generales de los NIH y las inversiones de sus institutos, centros y oficinas en áreas concretas relacionadas con la prevención de la obesidad infantil en Latinoamérica y en las poblaciones latinas de Estados Unidos.

Measurement challenges for childhood obesity research within and between Latin America and the United States.

Childhood obesity is a major public health challenge across Latin America and the United States. Addressing childhood obesity depends on valid, reliable, and culturally sensitive measurements. Such progress within and between countries of the Americas could be enhanced through better measurement across different age groups, different countries, and in sending and receiving communities. Additionally, better and more comparable measurements could accelerate cross-border collaboration and learning. Here, we present (1) frameworks that influenced our perspectives on childhood obesity and measurement needs across the Americas; (2) a summary of resources and guidance available concerning measurement and adaptation of measures for childhood obesity research; and (3) three major areas that present challenges and opportunities for measurement advances related to childhood obesity, including parental behavior, acculturation, and the potential to incorporate ethnographic methods to identify critical factors related to economics and globalization. Progress to reduce childhood obesity across the Americas could be accelerated by further transnational collaboration aimed at improving measurement for better surveillance, intervention development and evaluation, implementation research, and evaluation of natural experiments. Additionally, there is a need to improve training related to measurement and for improving access to valid and reliable measures in Spanish and other languages common in the Americas.

Childhood obesity prevention across borders: A National Institutes of Health commentary.

In response to the increasing rates of childhood obesity, the United States and countries across Latin America have invested in research that tests innovative strategies and interventions. Despite this, progress has been slow, uneven, and sporadic, calling for increased knowledge exchange and research collaboration that accelerate the adaptation and implementation of promising childhood obesity interventions. To share research results, challenges, and proven intervention strategies among Latin American and US researchers, particularly those working with Latino and Latin American populations, the National Institutes of Health (NIH) convened researchers from the United States and Latin America to highlight synergies between research conducted in Latin America and among Latino populations in the United States with the goal of catalyzing new relationships and identifying common research questions and strategies. This article highlights the NIH's research and priorities in childhood obesity prevention as well as areas for future direction, including overarching NIH plans and NIH institutes, centers, and offices investments in specific areas related to childhood obesity prevention in Latin America and/or among Latino populations in the United States.

Attenuated early pregnancy weight gain by prenatal lifestyle interventions does not prevent gestational diabetes in the LIFE-Moms consortium.

AIMS: To examine the effect of lifestyle (diet and physical activity) interventions on the prevalence of GDM, considering the method of GDM ascertainment and its association with early pregnancy characteristics and maternal and neonatal outcomes in the LIFE-Moms consortium. METHODS: LIFE-Moms evaluated the effects of lifestyle interventions to optimize gestational weight gain in 1148 pregnant women with BMI ≥ 25 kg/m2 and without known diabetes at enrollment, compared with standard care. GDM was assessed between 24 and 31-weeks gestation by a 2-hour, 75-gram OGTT or by local clinical practice standards. RESULTS: Lifestyle interventions initiated prior to 16 weeks reduced early excess GWG compared with standard care (0.35 ± 0.24 vs 0.43 ± 0.26 kg per week, p=<0.0001) but did not affect GDM diagnosis (11.1% vs 11.6%, p = 0.91). Using the 75-gram, 2-hour OGTT, 13. 0% of standard care and 11.0% of the intervention group had GDM by the IADPSG criteria (p = 0.45). The 'type of diagnostic test' did not change the result (p = 0.86). Women who developed GDM were significantly heavier, more likely to have obesity, and more likely to have dysglycemia at baseline. CONCLUSION: Moderate-to-high intensity lifestyle interventions grounded in behavior change theory initiated between 9 and 16-weeks gestation did not affect the prevalence of GDM despite reducing early GWG. CLINICALTRIALS.GOV: NCT01545934, NCT01616147, NCT01771133, NCT01631747, NCT01768793, NCT01610752, NCT01812694.

Funding of Hispanic/Latino Health-Related Research by the National Institutes of Health: An Analysis of the Portfolio of Research Program Grants on Six Health Topic Areas.

Hispanics/Latinos are expected to constitute 25% of the U.S. population by 2060. Differences in the prevalence of health risk factors, chronic diseases, and access to and utilization of health-care services between Hispanics/Latinos and other populations in the U.S. have been documented. This study aimed to describe and analyze the landscape of Research Program Grants (RPGs) funded by the National Institutes of Health (NIH) between 2008 and 2015 involving Hispanic/Latino health research in six health condition areas-asthma, cancer, dementia, diabetes, liver/gallbladder disease, and obesity-and to identify opportunities for continued research in these areas. Using an NIH internal search engine, we identified new and renewal Hispanic/Latino health RPGs searching for specific Hispanic/Latino identifiers in the Title, Abstract, and Specific Aims. We used descriptive statistics to examine the distribution of funded RPGs by NIH disease-based classification codes for the six health condition areas of interest, and other selected characteristics. The most prominent clusters of research subtopics were identified within each health condition area, and performance sites were mapped at the city level. Within the selected time frame, 3,221 Hispanic/Latino health-related unique RPGs were funded (constituting 4.4% of all funded RPGs), and of those 625 RPGs were eligible for review and coding in the present study. Cancer and obesity were the most commonly studied health condition areas (72%), while studies on mechanisms of disease-biological and non-biological-(72.6%), behavioral research (42.1%) and epidemiological studies (38.1%) were the most common types of research. Most of the primary performance sites were in California, Texas, the northeastern U.S., and Illinois. The predominance of mechanistic, behavioral, and epidemiological studies in our analysis poses opportunities to evaluate knowledge gained and their clinical application, explore new research questions, or to update some methods or instruments. The findings of the present study suggest opportunities to expand research in understudied mechanisms of disease that could explain differences in prevalence of conditions like diabetes and cancer among different heritage groups. In addition, our findings suggest that the impact of interventions or policies designed to reduce health disparities, innovative multi-level interventions, implementation and dissemination studies, the role of health information technology on health outcomes, and the intersectionality of individual, sociocultural, geographic, and other factors on health outcomes, among others, are understudied approaches, which could potentially advance research in Hispanic/Latino health and contribute to the achievement of better health outcomes in this diverse population.

Identification of Measurement Needs to Prevent Childhood Obesity in High-Risk Populations and Environments.

INTRODUCTION: Children at highest obesity risk include those from certain racial/ethnic groups, from low-income families, with disabilities, or living in high-risk communities. However, a 2013 review of the National Collaborative for Childhood Obesity Research Measures Registry identified few measures focused on children at highest obesity risk. The objective is to (1) identify individual and environmental measures of diet and physical activity added to the Measures Registry since 2013 used among high-risk populations or settings and (2) describe methods for their development, adaptation, or validation. METHODS: Investigators screened references in the Measures Registry from January 2013 to September 2017 (n=351) and abstracted information about individual and environmental measures developed for, adapted for, or applied to high-risk populations or settings, including measure type, study population, adaptation and validation methods, and psychometric properties. RESULTS: A total of 38 measures met inclusion criteria. Of these, 30 assessed individual dietary (n=25) or physical activity (n=13) behaviors, and 11 assessed the food (n=8) or physical activity (n=7) environment. Of those, 17 measures were developed for, 9 were applied to (i.e., developed in a general population and used without modification), and 12 were adapted (i.e., modified) for high-risk populations. Few measures were used in certain racial/ethnic groups (i.e., American Indian/Alaska Native, Hawaiian/Pacific Islander, and Asian), children with disabilities, and rural (versus urban) communities. CONCLUSIONS: Since 2013, a total of 38 measures were added to the Measures Registry that were used in high-risk populations. However, many of the previously identified gaps in population coverage remain. Rigorous, community-engaged methodologic research may help researchers better adapt and validate measures for high-risk populations.

Association of Multisetting Community Programs and Policies With Child Body Mass Index: The Healthy Communities Study.

INTRODUCTION: Expert opinion suggests that efforts to address childhood obesity should seek to transform the environments in which children operate. The objective of this study was to describe the extent to which multisetting programs and policies interact with community and child predictors and are associated with child body mass index (BMI) in the 130 US communities participating in the Healthy Communities Study. METHODS: For 2 years beginning in fall 2013, we collected data through key informant interviews on community programs and policies related to healthy weight among children that occurred in the 10 years before the interview. We characterized community programs and policies by intensity of efforts and the number of settings in which a program or policy was implemented. Child height and weight were measured during household data collection. We used multilevel modeling to examine associations of community programs and policies in multiple settings and child and community predictors with BMI z scores of children. RESULTS: The mean number of settings in which community policies and programs were implemented was 7.3 per community. Of 130 communities, 31 (23.8%) implemented community programs and policies in multiple settings. Higher-intensity community programs and policies were associated with lower BMI in communities that used multiple settings but not in communities that implemented programs and policies in few settings. CONCLUSION: Efforts to prevent childhood obesity may be more effective when community programs and policies are both intensive and are implemented in multiple settings in which children live, learn, and play.

One-year postpartum anthropometric outcomes in mothers and children in the LIFE-Moms lifestyle intervention clinical trials.

BACKGROUND/OBJECTIVES: Excess gestational weight gain (GWG) is a risk factor for maternal postpartum weight retention and excessive neonatal adiposity, especially in women with overweight or obesity. Whether lifestyle interventions to reduce excess GWG also reduce 12-month maternal postpartum weight retention and infant weight-for-length z score is unknown. Randomized controlled trials from the LIFE-Moms consortium investigated lifestyle interventions that began in pregnancy and tested whether there was benefit through 12 months on maternal postpartum weight retention (i.e., the difference in weight from early pregnancy to 12 months) and infant-weight-for-length z scores. SUBJECTS/METHODS: In LIFE-Moms, women (N = 1150; 14.1 weeks gestation at enrollment) with overweight or obesity were randomized within each of seven trials to lifestyle intervention or standard care. Individual participant data were combined and analyzed using generalized linear mixed models with trial entered as a random effect. The 12-month assessment was completed by 83% (959/1150) of women and 84% (961/1150) of infants. RESULTS: Compared with standard care, lifestyle intervention reduced postpartum weight retention (2.2 ± 7.0 vs. 0.7 ± 6.2 kg, respectively; difference of -1.6 kg (95% CI -2.5, -0.7; p = 0.0003); the intervention effect was mediated by reduction in excess GWG, which explained 22% of the effect on postpartum weight retention. Lifestyle intervention also significantly increased the odds (OR = 1.68 (95% CI, 1.26, 2.24)) and percentage of mothers (48.2% vs. 36.2%) at or below baseline weight at 12 months postpartum (yes/no) compared with standard care. There was no statistically significant treatment group effect on infant anthropometric outcomes at 12 months. CONCLUSIONS: Compared with standard care, lifestyle interventions initiated in pregnancy and focused on healthy eating, increased physical activity, and other behavioral strategies resulted in significantly less weight retention but similar infant anthropometric outcomes at 12 months postpartum in a large, diverse US population of women with overweight and obesity.

Understanding childhood obesity in the US: the NIH environmental influences on child health outcomes (ECHO) program.

BACKGROUND: Few resources exist for prospective, longitudinal analysis of the relationships between early life environment and later obesity in large diverse samples of children in the United States (US). In 2016, the National Institutes of Health launched the Environmental influences on Child Health Outcomes (ECHO) program to investigate influences of environmental exposures on child health and development. We describe demographics and overweight and obesity prevalence in ECHO, and ECHO's potential as a resource for understanding how early life environmental factors affect obesity risk. METHODS: In this cross-sectional study of 70 extant US and Puerto Rico cohorts, 2003-2017, we examined age, race/ethnicity, and sex in children with body mass index (BMI) data, including 28,507 full-term post-birth to <2 years and 38,332 aged 2-18 years. Main outcomes included high BMI for age <2 years, and at 2-18 years overweight (BMI 85th to <95th percentile), obesity (BMI ≥ 95th percentile), and severe obesity (BMI ≥ 120% of 95th percentile). RESULTS: The study population had diverse race/ethnicity and maternal demographics. Each outcome was more common with increasing age and varied with race/ethnicity. High BMI prevalence (95% CI) was 4.7% (3.5, 6.0) <1 year, and 10.6% (7.4, 13.7) for 1 to <2 years; overweight prevalence increased from 13.9% (12.4, 15.9) at 2-3 years to 19.9% (11.7, 28.2) at 12 to <18 years. ECHO has the statistical power to detect relative risks for 'high' BMI ranging from 1.2 to 2.2 for a wide range of exposure prevalences (1-50%) within each age group. CONCLUSIONS: ECHO is a powerful resource for understanding influences of chemical, biological, social, natural, and built environments on onset and trajectories of obesity in US children. The large sample size of ECHO cohorts adopting a standardized protocol for new data collection of varied exposures along with longitudinal assessments will allow refined analyses to identify drivers of childhood obesity.

Behavioral Interventions Using Consumer Information Technology as Tools to Advance Health Equity.

The digital divide related to consumer information technologies (CITs) has diminished, thus increasing the potential to use CITs to overcome barriers of access to health interventions as well as to deliver interventions situated in the context of daily lives. However, the evidence base regarding the use and impact of CIT-enabled interventions in health disparity populations lags behind that for the general population. Literature and case examples are summarized to demonstrate the use of mHealth, telehealth, and social media as behavioral intervention platforms in health disparity populations, identify challenges to achieving their use, describe strategies for overcoming the challenges, and recommend future directions. The evidence base is emerging. However, challenges in design, implementation, and evaluation must be addressed for the promise to be fulfilled. Future directions include (1) improved design methods, (2) enhanced research reporting, (3) advancement of multilevel interventions, (4) rigorous evaluation, (5) efforts to address privacy concerns, and (6) inclusive design and implementation decisions.

Childhood obesity research at the NIH: Efforts, gaps, and opportunities.

Childhood obesity is a major public health challenge. This article describes an overview of the National Institutes of Health (NIH) behavioral and social sciences childhood obesity research efforts. The overview will highlight five areas of childhood obesity research supported by the NIH: (a) basic behavioral and social sciences; (b) early childhood; (c) policies, programs, and environmental strategies; (d) health disparities; and (e) transagency and public-private collaboration. The article also describes potential gaps and opportunities in the areas of childhood obesity and severe obesity, measurement, and sleep.

Accumulating Data to Optimally Predict Obesity Treatment (ADOPT) Core Measures: Environmental Domain.

BACKGROUND: There is growing interest in how environment is related to adults' weight and activity and eating behaviors. However, little is known about whether environmental factors are related to the individual variability seen in adults' intentional weight loss or maintenance outcomes. OBJECTIVES: The environmental domain subgroup of the Accumulating Data to Optimally Predict obesity Treatment (ADOPT) Core Measures Project sought to identify a parsimonious set of objective and perceived neighborhood and social environment constructs and corresponding measures to include in the assessment of response to adult weight-loss treatment. SIGNIFICANCE: Starting with the home address, the environmental domain subgroup recommended for inclusion in future weight-loss or maintenance studies constructs and measures related to walkability, perceived land use mix, food outlet accessibility (perceived and objective), perceived food availability, socioeconomics, and crime-related safety (perceived and objective) to characterize the home neighborhood environment. The subgroup also recommended constructs and measures related to social norms (perceived and objective) and perceived support to characterize an individual's social environment. The 12 neighborhood and social environment constructs and corresponding measures provide a succinct and comprehensive set to allow for more systematic examination of the impact of environment on adults' weight loss and maintenance.

Overview of the obesity intervention taxonomy and pooled analysis working group.

The National Heart, Lung, and Blood Institute and the National Institutes of Health Office of Disease Prevention convened a meeting on August 29-30, 2013 entitled "Obesity Intervention Taxonomy and Pooled Analysis." The overarching goals of the meeting were to understand how to decompose interventions targeting behavior change, and in particular, those that focus on obesity and to combine data from groups of related intervention studies to supplement what can be learned from the individual studies. This paper summarizes the workshop recommendations and provides an overview of the two other papers that originated from the workshop and that address decomposition of behavioral change interventions and pooling of data across diverse studies within a consortium.