A Dietary Pattern With More Fruits and Vegetables in Children of Mothers Who Immigrated to the United States From Latin America Is Associated With Healthful Nutrient Intake and Weight Status.

BACKGROUND: Children from families who immigrated to the United States may consume a lower-quality diet compared with their US-born peers. However, specific features of their dietary patterns, which could be a focus for improving diet quality, are not well-studied. OBJECTIVE: The aim of this study was to examine dietary patterns that distinguish interpersonal variability in dietary intake and explore the association of dietary patterns with nutrient intake and weight status. DESIGN: This study was a cross-sectional analysis of baseline data from the Live Well randomized controlled trial collected between 2009 and 2010. PARTICIPANTS/SETTING: Study participants included 313 children (3-12 years) whose mothers immigrated to the United States from Latin America and resided in Somerville, Massachusetts. MAIN OUTCOME MEASURES: Dietary patterns (derived using principal component analysis); nutrient intake (derived from dietary data collected using the Block Food Screener); and weight status (categorized using body mass index z score based on measured height and weight). STATISTICAL ANALYSES PERFORMED: Nutrient intake levels were compared across quartiles for dietary patterns using analysis of covariance. Multivariable logistic or linear regression models were used to determine the associations between dietary pattern scores and odds of overweight or obesity or z scores. RESULTS: Two dietary patterns emerged: "fruits and vegetables" and "meat and sweets." Highest adherence to the fruits and vegetables pattern was associated with more healthful nutrient intake and lower odds of having overweight or obesity (odds ratio 0.37; 95% CI 0.16 to 0.98), but not body mass index z score (ß = -.07; 95% CI -.51 to 0.36) compared with the lowest adherence. Adherence to the meat and sweets pattern was associated with less healthful nutrient intake but not with the odds of experiencing overweight or obesity (odds ratio 0.48; 95% CI 0.16 to 1.46). CONCLUSIONS: A healthful dietary pattern in children of families who immigrated to the United States from Latin America may include a variety of fruits and vegetables. Longitudinal studies should be conducted to further assess the role of dietary intake patterns on the health of these children.

Breaking Academic Silos: Pedagogical Recommendations for Equitable Obesity Prevention Training and Research During an Age of Nutrition Polarization.

Introduction: Obesity is a preventable chronic condition and a risk factor for poor health and early mortality. Weight stigma and weight-neutral medicine are popular topics in social media that are often at odds with current medical guidelines on obesity treatment and prevention. This conflict may erode the public's trust in science, impede research progress on preventing obesity in marginalized groups, and uphold the ongoing and historical lack of diversity among nutrition trainees. Methods: The authors conducted a series of student-led dialogue sessions with nutrition graduate students in Boston, Massachusetts, from March to May 2023 to understand perceptions of obesity research, health equity, and racism and discrimination. This article summarizes the lessons learned and provides pedagogical recommendations for jointly addressing obesity at the population level and the recruitment, training, and retention of diverse scholars, clinicians, and public health practitioners. Results: Dialogue sessions revealed that students perceive a disproportionate focus on the harms of obesity as a chronic disease, highlighting that inadequate attention is given to weight stigma and discrimination. Some participants believed that weight-based discrimination is equally detrimental to individual health and wellbeing as having obesity. Discussions also emphasized the need to pinpoint the multidimensional and cultural manifestations of weight stigma, which necessitates collaboration across social sectors and academic disciplines. Students recognized the urgent need to apply an equity lens to obesity research and teaching but felt limited in their access to experts within nutrition science who specialize in racism, discrimination, eating disorders, and weight stigma. Conclusions: This study identified concrete opportunities for urgently needed new training and research in population-level obesity prevention, emphasizing antiracism, harm reduction, and elimination of stigma and bias across multiple levels of science and society. Overall, the decision to use the BMI within pedagogy and training must be explicitly stated-research, population surveillance, decision-making, or treatment pedagogy and training-while acknowledging its strengths and limitations across diverse settings. Finally, the social determinants of obesity should incorporate not only weight stigma but also racism and multiple forms of discrimination.

Are Caregivers' Feeding Competence and Autonomy Associated with Healthier Restaurant Food Purchases for Their Child at Fast Food or Counter Service Restaurants? A Cross-Sectional Study in a Diverse Sample of U.S. Caregivers.

This study examined the cross-sectional relationship between caregivers' perceived competence and autonomy (as defined by the Self-Determination Theory) and their fast food or counter service restaurant food purchases (side dishes, beverage, and dessert) for their child. A U.S. national convenience sample of caregivers with at least one 3-12-year-old child completed an online survey with questions adapted from the Intrinsic Motivation Inventory that measured perceived competence and autonomy for feeding fruits and vegetables and limiting sugar-sweetened beverages (SSBs) and desserts. The survey included four questions asking about their fast food or counter service restaurant food purchases (side dish, beverage, and dessert). We applied logistic and multinomial logistic regression models to examine the associations between competence or autonomy and restaurant orders. Competence and autonomy were associated with ordering fruits and vegetables as side dishes (OR [95% CI], 1.14 [1.06, 1.24] and 1.09 [1.03, 1.14], respectively). However, higher competence was also associated with ordering desserts at restaurants and higher autonomy was associated with lower odds of ordering water. These findings will inform interventions and programs that aim to support caregivers' psychological needs, like competence and autonomy, to promote supportive environments and healthier restaurant purchases for their children.

The longitudinal association between caregivers' perceived competence and autonomy and children's dietary consumption before and 10 months into the COVID-19 pandemic.

The COVID-19 pandemic has been stressful, potentially affecting caregivers' feeding choices. Caregivers play a role in shaping children's diets, yet few studies have explored how their competence and autonomy, defined by the Self-Determination Theory, impact children's diets. We examined the relationship between caregivers' autonomy and competence and their feeding practices before and during the first year of the pandemic. A national convenience sample of caregivers with 3-12-year-old children completed an online survey during two time-periods. Questions adapted from the Intrinsic Motivation Inventory measured perceived competence and autonomy for feeding fruits and vegetables (F/V) and limiting sugar-sweetened beverages (SSBs) and desserts. National Health and Nutrition Examination Survey Dietary Screener questions measured children's consumption of F/V, SSBs, and desserts. Paired t-tests examined how child consumption and caregiver's perceived competence and autonomy changed, and logistic regressions examined whether caregivers' competence and autonomy predicted the change in child consumption and if changes in competence and autonomy were associated with changes in child consumption. Caregivers (n = 597) were mostly Black/African American (33.0%) or Latina/o/x (42.7%) and older than 30 years (84.1%). Children's consumption did not change overall, but caregivers' competence for feeding F/V increased, and their competence for limiting SSBs and desserts decreased. Caregiver competence and autonomy before COVID-19 did not predict child dietary consumption during the pandemic. However, change in competence was a significant predictor of the change in child consumption of F/V [OR (95%CI): 0.70 (0.57, 0.86)]. The association between caregiver's perceived competence for feeding F/V and child consumption remained positive and significant in both periods [OR (95%CI) pre and during COVID: 2.09 (1.69, 2.57) - 2.40 (1.88, 3.06)]. This study can inform behavioral interventions supporting caregivers' competence and autonomy around feeding choices.

Temporal Dietary Pattern Cluster Membership Varies on Weekdays and Weekends but Both Link to Health.

BACKGROUND: Energy and dietary quality are known to differ between weekdays and weekends. Data-driven approaches that incorporate time, amount, and duration of dietary intake have previously been used to partition participants' daily weekday dietary intake time series into clusters representing weekday temporal dietary patterns (TDPs) linked to health indicators in United States adults. Yet, neither the relationship of weekend day TDPs to health indicators nor how the TDP membership may change from weekday to weekend is known. OBJECTIVES: This study was conducted to determine the association between TDPs on weekdays and weekend days and health indicators [diet quality, waist circumference (WC), body mass index (BMI), and obesity] and their overlap among participants. METHODS: A weekday and weekend day 24-hour dietary recall of 9494 nonpregnant United States adults aged 20-65 years from the cross-sectional National Health and Nutrition Examination Survey 2007-2018 was used to determine the timing and amount of energy intake. Modified dynamic time warping and kernel k-means algorithm clustered participants into 4 TDPs on weekdays and weekend days. Multivariate regression models determined the associations between TDPs and health indicators, controlling for potential confounders and adjusting for the survey design and multiple comparisons. The percentages of overlap in cluster membership between TDPs on weekdays and weekend days were also determined. RESULTS: United States adults with a TDP of evenly spaced, energy-balanced eating occasions, representing the TDP of more than one-third of all adults on weekdays and weekends, had significantly higher diet quality, lower BMI, WC, and odds of obesity when compared to those with other TDPs. Membership of most United States adults to TDPs varied from weekdays to weekends. CONCLUSIONS: Both weekday and weekend TDPs were significantly associated with health indicators. TDP membership of most United States adults was not consistent on weekdays and weekends.

AI-based digital image dietary assessment methods compared to humans and ground truth: a systematic review.

OBJECTIVE: Human error estimating food intake is a major source of bias in nutrition research. Artificial intelligence (AI) methods may reduce bias, but the overall accuracy of AI estimates is unknown. This study was a systematic review of peer-reviewed journal articles comparing fully automated AI-based (e.g. deep learning) methods of dietary assessment from digital images to human assessors and ground truth (e.g. doubly labelled water). MATERIALS AND METHODS: Literature was searched through May 2023 in four electronic databases plus reference mining. Eligible articles reported AI estimated volume, energy, or nutrients. Independent investigators screened articles and extracted data. Potential sources of bias were documented in absence of an applicable risk of bias assessment tool. RESULTS: Database and hand searches identified 14,059 unique publications; fifty-two papers (studies) published from 2010 to 2023 were retained. For food detection and classification, 79% of papers used a convolutional neural network. Common ground truth sources were calculation using nutrient tables (51%) and weighed food (27%). Included papers varied widely in food image databases and results reported, so meta-analytic synthesis could not be conducted. Relative errors were extracted or calculated from 69% of papers. Average overall relative errors (AI vs. ground truth) ranged from 0.10% to 38.3% for calories and 0.09% to 33% for volume, suggesting similar performance. Ranges of relative error were lower when images had single/simple foods. CONCLUSIONS: Relative errors for volume and calorie estimations suggest that AI methods align with - and have the potential to exceed - accuracy of human estimations. However, variability in food image databases and results reported prevented meta-analytic synthesis. The field can advance by testing AI architectures on a limited number of large-scale food image and nutrition databases that the field determines to be adequate for training and testing and by reporting accuracy of at least absolute and relative error for volume or calorie estimations.

These results suggest that AI methods are in line with ­ and have the potential to exceed ­ accuracy of human estimations of nutrient content based on digital food images.Variability in food image databases used and results reported prevented meta-analytic synthesis.The field can advance by testing AI architectures on a limited number of large-scale food image and nutrition databases that the field determines to be accurate and by reporting accuracy of at least absolute and relative error for volume or calorie estimations.Overall, the tools currently available need more development before deployment as stand-alone dietary assessment methods in nutrition research or clinical practice.

Temporal Patterns of Diet and Physical Activity and of Diet Alone Have More Numerous Relationships With Health and Disease Status Indicators Compared to Temporal Patterns of Physical Activity Alone.

BACKGROUND: Daily temporal patterns of energy intake (temporal dietary patterns [TDPs]) and physical activity (temporal physical activity patterns [TPAPs]) have been independently and jointly (temporal dietary and physical activity patterns [TDPAPs]) associated with health and disease status indicators. OBJECTIVE: The aim of this study was to compare the number and strength of association between clusters of daily TDPs, TPAPs, and TDPAPs and multiple health and disease status indicators. DESIGN: This cross-sectional study used 1 reliable weekday dietary recall and 1 random weekday of accelerometer data to partition to create clusters of participants representing the 3 temporal patterns. Four clusters were created via kernel-k means clustering algorithm of the same constrained dynamic time warping distance computed over the time series for each temporal pattern. PARTICIPANTS/SETTING: From the National Health and Nutrition Examination Survey (2003-2006), 1,836 US adults aged 20 through 65 years who were not pregnant and had valid diet, physical activity, sociodemographic, anthropometric, questionnaire, and health and disease status indicator data were included. MAIN OUTCOME MEASURES: Health status indicators used as outcome measures were body mass index, waist circumference, fasting plasma glucose, hemoglobin A1c, triglycerides, high-density lipoprotein cholesterol, total cholesterol, and systolic and diastolic blood pressure; disease status indicators included obesity, type 2 diabetes mellitus, and metabolic syndrome. STATISTICAL ANALYSES PERFORMED: Multivariate regression models determined associations between the clusters representing each pattern and health and disease status indicators, controlling for confounders and adjusting for multiple comparisons. The number of significant differences among clusters and adjusted R2 and Akaike information criterion compared the strength of associations between clusters of patterns and continuous and categorical health and disease status indicators. RESULTS: TDPAPs showed 21 significant associations with health and disease status indicators, including body mass index, waist circumference, obesity, and type 2 diabetes; TDPs showed 19 significant associations; and TPAPs showed 8 significant associations. CONCLUSIONS: TDPAPs and TDPs had stronger and more numerous associations with health and disease status indicators compared with TPAPs. Patterns representing the integration of daily dietary habits hold promise for early detection of obesity.

Testing Inclusive Language Revisions of the Breastfeeding Attrition Prediction Tool Using Cognitive Interviewing: A Pilot Study.

BACKGROUND: Recent calls-to-action have recommended the use of gender-inclusive language in the field of human lactation research and clinical care. However, little empirical evidence about parental acceptance and understanding of this new terminology exists. RESEARCH AIM: To assess understanding and acceptance of an inclusive language revision of the Breastfeeding Attrition Prediction Tool (BAPT). METHODS: This was a prospective qualitative study consisting of two phases, a survey followed by cognitive interview. Pregnant people (N = 16) were recruited from the Vermont Special Supplemental Nutrition Program for Women, Infants, and Children, which uses the BAPT as a standard of care. The study team revised the BAPT (e.g., changed terms like "breast milk" to "human milk"). Study participants completed the Revised BAPT and then participated in a cognitive interview by phone to assess their understanding and acceptance of revised, inclusive language. RESULTS: Most inclusive language was well understood and accepted by participants. Proposed revisions to the survey to replace terms like "breastfeeding" with other terms like "chestfeeding" or "bodyfeeding" were more difficult for participants to understand and were not well accepted. CONCLUSIONS: While it is clear that language in human lactation research and clinical practice should be revised to be more gender inclusive, specific inclusive terms elicit different levels of understanding and acceptance. Inclusive language options should be tested with target populations and more research is needed in this area.

Implementing a stakeholder-driven community diffusion-informed intervention to create healthier, more equitable systems: a community case study in Greenville County, South Carolina.

This case study describes the application of a theory-informed, stakeholder-driven intervention with a group of 19 multi-sector stakeholders from an existing coalition to promote whole-of-community change that supports childhood obesity prevention. The intervention applied community-based system dynamics to design and implement activities that promoted insights into the systems driving childhood obesity prevalence and helped participants prioritize actions to influence those systems. This led to three new priority areas for the coalition: addressing food insecurity; building power among historically marginalized voices within the community; and supporting advocacy efforts to promote community-wide change beyond the coalition's previous focus on organizational-level policy, systems and environment change. The intervention spurred the application of community-based system dynamics to other health issues and in partner organizations, which demonstrates paradigm shifts about how to address complex public health issues in the community.

Community coalition efforts to prevent childhood obesity: two-year results of the Shape Up Under 5 study.

BACKGROUND: Cross-sector collaborations and coalitions are promising approaches for childhood obesity prevention, yet there is little empirical evidence about how they affect change. We hypothesized that changes in knowledge of, and engagement with, childhood obesity prevention among coalition members can diffuse through social networks to influence policies, systems, and environments. METHODS: We studied a community coalition (N = 16, Shape Up Under 5 "SUU5 Committee") focused on early childhood obesity prevention in Somerville, MA from 2015-17. Knowledge, engagement, and social network data were collected from Committee members and their network contacts (n = 193) at five timepoints over two years. Policy, systems, and environment data were collected from the SUU5 Committee. Data were collected via the validated COMPACT Stakeholder-driven Community Diffusion survey and analyzed using regression models and social network analysis. RESULTS: Over 2 years, knowledge of (p = 0.0002), and engagement with (p = 0.03), childhood obesity prevention increased significantly among the SUU5 Committee. Knowledge increased among the Committee's social network (p = 0.001). Significant changes in policies, systems, and environments that support childhood obesity prevention were seen from baseline to 24 months (p = 0.003). CONCLUSION: SUU5 had positive effects on "upstream" drivers of early childhood obesity by increasing knowledge and engagement. These changes partially diffused through networks and may have changed "midstream" community policies, systems, and environments.

Cluster Analysis to Find Temporal Physical Activity Patterns Among US Adults.

Physical activity (PA) is known to be a risk factor for obesity and chronic diseases such as diabetes and metabolic syndrome. Few attempts have been made to pattern the time of physical activity while incorporating intensity and duration in order to determine the relationship of this multi-faceted behavior with health. In this paper, we explore a distance-based approach for clustering daily physical activity time series to estimate temporal physical activity patterns among U.S. adults (ages 20-65) from the National Health and Nutrition Examination Survey 2003-2006 (NHANES). A number of distance measures and distance-based clustering methods were investigated and compared using various metrics. These metrics include the Silhouette and the Dunn Index (internal criteria), and the associations of the clusters with health status indicators (external criteria). Our experiments indicate that using a distance-based cluster analysis approach to estimate temporal physical activity patterns through the day, has the potential to describe the complexity of behavior rather than characterizing physical activity patterns solely by sums or labels of maximum activity levels.

Joint Temporal Patterns By Integrating Diet and Physical Activity.

Both diet and physical activity are associated with obesity and chronic diseases such as diabetes and metabolic syndrome. Early efforts in connecting dietary and physical activity behaviors to generate patterns rarely considered the use of time. In this paper, we propose a distance-based cluster analysis approach to find joint temporal diet and physical activity patterns among U.S. adults ages 20-65. Dynamic Time Warping (DTW) generalized to multi-dimensions is combined with commonly used clustering methods to generate unbiased partitioning of the National Health and Nutrition Examination Survey 2003-2006 (NHANES) dataset. The clustering results are evaluated using visualization of the clusters, the Silhouette Index, and the associations between clusters and health status indicators based on multivariate regression models. Our experiments indicate that the integration of diet, physical activity, and time has the potential to discover joint temporal patterns with association to health.

Reliability and Validity of Digital Images to Assess Child Dietary Intake in a Quick-Service Restaurant Setting.

BACKGROUND: Development of methods to accurately measure dietary intake in free-living situations-restaurants or otherwise-is critically needed to understand overall dietary patterns. OBJECTIVE: This study aimed to develop and test reliability and validity of digital images (DI) for measuring children's dietary intake in quick-service restaurants (QSRs), validating against weighed plate waste (PW) and bomb calorimetry (BC). DESIGN: In 2016, cross-sectional data were collected at two time points within a randomized controlled trial assessing children's leftovers in QSRs from parents of 4- to 12-year-old children. PARTICIPANTS/SETTING: Parents (n = 640; mean age = 35.9 y; 70.8% female) consented and agreed to provide their child's PW for digital imaging, across 11 QSRs in Massachusetts in areas with low socioeconomic status and ethnically diverse populations. OUTCOME MEASURES: Outcome measures were interrater reliability for DIs, correspondence between methods for energy consumed and left over, and correspondence between methods across varying quantities of PW. ANALYSES PERFORMED: Intraclass correlations, percent agreement, Spearman correlations, Wilcoxon signed rank tests, and Bland-Altman plots were used. RESULTS: Interrater reliability ratings for DIs had substantial intraclass correlations (ICC = 0.94) but not acceptable exact percent agreement (80.2%); DI and PW energy consumed were significantly correlated (r = 0.96, P < 0.001); DI slightly underestimated energy consumed compared with PW (Mdiff = -1.61 kcals, P < 0.001). Bland-Altman plots showed high DI-PW correspondence across various energy amounts and revealed few outliers. Energy left over by BC was highly correlated with DI (r = 0.87, P < 0.001) and PW (r = 0.90, P < 0.001); and mean differences were not significantly different from DI (Mdiff = 9.77 kcal, P = 0.06) or PW (Mdiff = -2.84 kcal, P = 0.20). CONCLUSIONS: Correspondence was high between PW and DI assessments of energy consumed, and high with BC energy left over. Results demonstrate reliability and practical validity of digital images for assessing child meal consumption in QSR settings.

The impact of a community social marketing campaign on children's meal orders and consumption: main outcomes from a group randomised controlled trial.

OBJECTIVE: Restaurants may be important settings for interventions to reduce children's energy intake. The objective of this study was to test the impact of a parent-focused social marketing campaign to promote healthy children's meals on calories ordered and consumed by children at quick-service restaurants (QSR). DESIGN: Using a repeated cross-sectional study design, two urban communities were randomised to intervention (IN) v. control (C) condition. A community-wide social marketing campaign was implemented in the IN community to empower Black and Latinx mothers who frequent QSR (priority population) to select healthier options for their child. SETTING: Data were collected in 2016 at QSR located within the communities pre- and post-IN and analysed in 2017. PARTICIPANTS: Parents (n 1686; n 819 and n 867 for I and C conditions, respectively) were recruited after placing their QSR order; a survey, receipt and their child's leftovers were collected. RESULTS: Calories ordered did not differ significantly between the IN and C conditions (changeadj = -146·4 kJ (-35·0 kcal); 95 % CI -428·0 kJ (-102·3 kcal), 134·6 kJ (32·2 kcal)). In a sub-analysis of only the priority audience, children in the IN community ordered significantly fewer calories compared to C children in unadjusted models (changeunadj = -510·4 kJ (-122·0 kcal); 95 % CI -1013·4 kJ (-242·2 kcal), -7·5 kJ (-1·8 kcal)), but the trend did not persist after adjusting for covariates (changeadj = -437·2 kJ (-104·5 kcal); 95 % CI -925·5 kJ (-221·2 kcal), 50·6 kJ (12·1 kcal)). Calories consumed followed similar trends. CONCLUSION: The campaign did not significantly reduce children's QSR calories ordered or consumed. However, a quantitatively important mean reduction in calories was suggested among the priority audience, indicating potential for community-wide promotion of healthful children's meals.

Using Agent-Based Modeling to Extrapolate Community-Wide Impact from a Stakeholder-Driven Childhood Obesity Prevention Intervention: Shape Up Under 5.

Objective: Whole-of-community interventions are a promising systems-based approach to childhood obesity prevention. A theorized driver of success is "Stakeholder-Driven Community Diffusion" (SDCD): the spread of knowledge about and engagement with obesity prevention efforts from a committee of stakeholder representatives. We focus on the potential of SDCD to affect the broader community. Methods: We use an agent-based model of SDCD to dynamically represent the interpersonal interactions that drive community diffusion of knowledge and engagement. We test its explanatory power using longitudinal data from a sample of community members and then use simulations to extrapolate from this limited sample to the unobserved community at large. We also consider counterfactual scenarios that show how changes in implementation strategy might have led to different patterns of community change. Results: Our model can reproduce real-world patterns of diffusion. Simulations show a substantial increase in knowledge (an approximate doubling) and a slight increase in engagement throughout the broader community. A relatively small amount of this change in knowledge (∼10%), and all the change in engagement is attributable to direct intervention effects on committee members. Conclusions: SDCD is premised on creating preconditions for sustainable change. Previous work has estimated impact on small samples closely linked to the stakeholder committee, but the degree to which this translates into the much broader diffusion envisioned by SDCD theory is unknown. This analysis demonstrates the potential of interventions to do just that. Additionally, the counterfactual scenarios suggest that simulation can help tailor implementation of SDCD interventions to increase impact.

The Discovery of Data-Driven Temporal Dietary Patterns and a Validation of Their Description Using Energy and Time Cut-Offs.

Data-driven temporal dietary patterning (TDP) methods were previously developed. The objectives were to create data-driven temporal dietary patterns and assess concurrent validity of energy and time cut-offs describing the data-driven TDPs by determining their relationships to BMI and waist circumference (WC). The first day 24-h dietary recall timing and amounts of energy for 17,915 U.S. adults of the National Health and Nutrition Examination Survey 2007−2016 were used to create clusters representing four TDPs using dynamic time warping and the kernel k-means clustering algorithm. Energy and time cut-offs were extracted from visualization of the data-derived TDPs and then applied to the data to find cut-off-derived TDPs. The strength of TDP relationships with BMI and WC were assessed using adjusted multivariate regression and compared. Both methods showed a cluster, representing a TDP with proportionally equivalent average energy consumed during three eating events/day, associated with significantly lower BMI and WC compared to the other three clusters that had one energy intake peak/day at 13:00, 18:00, and 19:00 (all p < 0.0001). Participant clusters of the methods were highly overlapped (>83%) and showed similar relationships with obesity. Data-driven TDP was validated using descriptive cut-offs and hold promise for obesity interventions and translation to dietary guidance.

Tracing coalition changes in knowledge in and engagement with childhood obesity prevention to improve intervention implementation.

BACKGROUND: While most coalition research focuses on studying the effects of peer relationship structure, this study examines the coevolution of coalition structure and behavior across three communities in the U.S. with the goal of identifying coalition dynamics that impact a childhood obesity prevention intervention.  METHODS: Over two years (2018-2020), three communities within the U.S. participated in a childhood obesity prevention intervention at different times. This intervention was guided by the Stakeholder-Driven Community Diffusion theory, which describes an empirically testable mechanism for promoting community change. Measures are part of the Stakeholder-driven Community Diffusion (SDCD) survey with demonstrated reliability, which include knowledge of and engagement with childhood obesity prevention and social networks. Data from three coalition-committees and their respective networks were used to build three different stochastic actor-oriented models. These models were used to examine the coevolution of coalition structure with coalition behavior (defined a priori as knowledge of and engagement with obesity prevention) among coalition-committee members and their nominated alters (Network A) and coalition-committee members only (Network B).  RESULTS: Overall, coalitions decrease in size and their structure becomes less dense over time. Both Network A and B show a consistent preference to form and sustain ties with those who have more ties. In Network B, there was a trend for those who have higher knowledge scores to increase their number of ties over time. The same trend appeared in Network A but varied based on their peers' knowledge in and engagement with childhood obesity prevention. Across models, engagement with childhood obesity prevention research was not a significant driver of changes in either coalition network structure or knowledge. CONCLUSIONS: The trends in coalition Network A and B's coevolution models may point to context-specific features (e.g., ties among stakeholders) that can be leveraged for better intervention implementation. To that end, examining tie density, average path length, network diameter, and the dynamics of each behavior outcome (i.e., knowledge in and engagement with childhood obesity prevention) may help tailor whole-of-community interventions. Future research should attend to additional behavioral variables (e.g., group efficacy) that can capture other aspects of coalition development and that influence implementation, and to testing the efficacy of network interventions after trends have been identified.

Implementation of nutrition and physical activity-related policies and practices on college campuses participating in the Healthier Campus initiative.

Objective: To evaluate implementation of nutrition/physical activity-related policies/practices at colleges participating in a healthy campus initiative and campus health leaders' perceptions of policies/practices' support for student health and ease of/barriers to implementation. Participants: Health leaders at colleges participating in the Healthier Campus Initiative (HCI), with completed or ongoing three-year HCI commitments. Methods: Surveys asked which of 41 guidelines were implemented and perceptions around support for student health and ease of/barriers to implementation. Qualitative interviews explored similar domains. Results: Campuses with completed HCI commitments (n = 17) averaged 27.6 guidelines implemented, versus 21.1 on campuses with commitments ongoing (n = 13; p = 0.003). Perceived support for student health and implementation ease varied by guideline. Common implementation barriers included financial costs and time. Interviews largely reinforced these findings. Conclusions: Completion of a campus environmental change initiative may be associated with more health-supporting practices. Campuses may benefit from implementing coordinated policy/practice changes supporting healthy eating and physical activity.

Implementing and Evaluating a Stakeholder-Driven Community Diffusion-Informed Early Childhood Intervention to Prevent Obesity, Cuyahoga County, Ohio, 2018-2020.

PURPOSE AND OBJECTIVES: The purpose of this article is to demonstrate and evaluate aspects of a Stakeholder-Driven Community Diffusion (SDCD)-informed intervention with a group of stakeholders drawn from a large coalition seeking a novel approach for promoting policy, systems, and environmental-level change. The objectives were to implement an SDCD intervention, assess changes in participants' perspectives, and evaluate where the group's actions fit within the context of a systems map that the group created during the intervention. INTERVENTION APPROACH: An SDCD-informed intervention convened 12 multisector stakeholders from the Early Ages Healthy Stages coalition in Cuyahoga County, Ohio. They participated in group model building activities to promote systems thinking related to childhood obesity prevention, reviewed evidence about topics of interest to the group, and were provided with technical assistance and seed funding to guide the selection and implementation of actions prioritized by the group. EVALUATION METHODS: Data were collected via meeting notes and group model building outputs to demonstrate implementation and action prioritization; online surveys and qualitative interviews to measure perspective change among stakeholders; and a follow-up survey to the broader coalition assessing actions coalition members were taking. RESULTS: An SDCD-informed intervention guided the development of a systems map and the selection of 4 actions: 1) develop a better understanding of the local early childcare environment; 2) assess the effectiveness and impact of Ohio Healthy Programs (OHP); 3) advocate for OHP and improved early childhood education quality; and 4) hold OHP designees accountable to high-quality programming. Data collected from surveys and interviews showed increased awareness of programs, resources, and collaboration opportunities among stakeholders. Follow-up survey results showed ongoing coalition action throughout the systems map. IMPLICATIONS FOR PUBLIC HEALTH: Using an SDCD-informed intervention among a coalition of community stakeholders provided a unique approach for implementing, assessing, and analyzing collaborative efforts to prevent childhood obesity in Cuyahoga County. Our approach can be applied to help researchers and stakeholders improve efforts to address childhood obesity in their communities.

Joint temporal dietary and physical activity patterns: associations with health status indicators and chronic diseases.

BACKGROUND: Diet and physical activity (PA) are independent risk factors for obesity and chronic diseases including type 2 diabetes mellitus (T2DM) and metabolic syndrome (MetS). The temporal sequence of these exposures may be used to create patterns with relations to health status indicators. OBJECTIVES: The objectives were to create clusters of joint temporal dietary and PA patterns (JTDPAPs) and to determine their association with health status indicators including BMI, waist circumference (WC), fasting plasma glucose, glycated hemoglobin, triglycerides, HDL cholesterol, total cholesterol, blood pressure, and disease status including obesity, T2DM, and MetS in US adults. METHODS: A 24-h dietary recall and random day of accelerometer data of 1836 participants from the cross-sectional NHANES 2003-2006 data were used to create JTDPAP clusters by constrained dynamic time warping, coupled with a kernel k-means clustering algorithm. Multivariate regression models determined associations between the 4 JTDPAP clusters and health and disease status indicators, controlling for potential confounders and adjusting for multiple comparisons. RESULTS: A JTDPAP cluster with proportionally equivalent energy consumed at 2 main eating occasions reaching ≤1600 and ≤2200 kcal from 11:00 to 13:00 and from 17:00 to 20:00, respectively, and the highest PA counts among 4 clusters from 08:00 to 20:00, was associated with significantly lower BMI (P < 0.0001), WC (P = 0.0001), total cholesterol (P = 0.02), and odds of obesity (OR: 0.2; 95% CI: 0.1, 0.5) than a JTDPAP cluster with proportionally equivalent energy consumed reaching ≤1600 and ≤1800 kcal from 11:00 to 14:00 and from 17:00 to 21:00, respectively, and high PA counts from 09:00 to 12:00. CONCLUSIONS: The joint temporally patterned sequence of diet and PA can be used to cluster individuals with meaningful associations to BMI, WC, total cholesterol, and obesity. Temporal patterns hold promise for future development of lifestyle patterns that integrate additional temporal and contextual activities.