Elucidating pathways to pediatric obesity: a study evaluating obesity polygenic risk scores related to appetitive traits in children.

BACKGROUND/OBJECTIVES: Obesity polygenic risk scores (PRS) explain substantial variation in body mass index (BMI), yet associations between PRSs and appetitive traits in children remain unclear. To better understand pathways leading to pediatric obesity, this study aimed to assess the association of obesity PRSs and appetitive traits. SUBJECTS/METHODS: This study included 248 unrelated children aged 9-12 years. DNA from the children was genotyped (236 met quality control thresholds) and four weighted polygenic risk scores from previous studies were computed and standardized: a 97 SNP PRS, 266 SNP pediatric-specific PRS, 466 SNP adult-specific PRS, and ~2 million SNP PRS. Appetitive traits were assessed using a parent-completed Child Eating Behavior Questionnaire, which evaluated food approach/avoidance traits and a composite obesogenic appetite score. BMI was directly measured and standardized by age and sex. Three associations were evaluated with linear regression: (1) appetitive traits and BMI, (2) PRSs and BMI, and (3) PRSs and appetitive traits, the primary association of interest. RESULTS: Expected positive associations were observed between obesogenic appetitive traits and BMI and all four PRSs and BMI. Examining the association between PRSs and appetitive traits, all PRSs except for the 466 SNP adult PRS were significantly associated with the obesogenic appetite score. Each standard deviation increase in the 266 SNP pediatric PRS was associated with an adjusted 2.1% increase in obesogenic appetite score (95% CI: 0.6%, 3.7%, p = 0.006). Significant partial mediation of the PRS-BMI association by obesogenic appetite score was found for these PRSs; for example, 21.3% of the association between the 266 SNP pediatric PRS and BMI was explained by the obesogenic appetite score. CONCLUSIONS: Genetic obesity risk significantly predicted appetitive traits, which partially mediated the association between genetic obesity risk and BMI in children. These findings build a clearer picture of pathways leading to pediatric obesity.

Association of Food Desert Residence and 5-Year Mortality in Lung Cancer Patients Undergoing Resection.

INTRODUCTION: Food desert (FD) residence has emerged as a risk factor for poor outcomes in breast, colon and esophageal cancers. The purpose of this retrospective study was to examine FD residence as an associated risk factor in nonsmall cell lung cancer (NSCLC) patients treated with anatomic lung resection (ALR). METHODS: All consecutive ALRs for stage I-III NSCLC from January 2015 to December 2017 at a single institution were reviewed. The primary exposure of interest was FD residence as defined by the United States Department of Agriculture. The primary outcome was 5-y overall mortality. Secondary outcomes were 30-d complications and 1- and 3-y mortality. Cox proportional hazard analysis was used to model factors associated with each outcome, adjusted for covariates. RESULTS: A total of 348 ALRs were included, with 101 (29%) patients residing in an FD. In the unadjusted Cox model, those residing in FD had an associated lower 5-year mortality risk compared to those not residing in an FD (hazard ratio = 0.56, 95% confidence interval (0.33-0.97); P = 0.04). That association was not statistically significant once adjusted for covariates (hazard ratio = 0.59, 95% confidence interval (0.34-1.04); P = 0.07). CONCLUSIONS: In this study, FD residence was not associated with an increase in the risk of 5-y mortality. Selection bias of patients deemed healthy enough to undergo surgery may have mitigated the negative association of FD residence demonstrated in other cancers. Future work will evaluate all NSCLC patients undergoing treatments at our institution to further evaluate FDs as a risk factor for worse outcomes.

Associations between sleep and appetitive traits in higher-income preschoolers: A six-month study.

BACKGROUND: Short sleep is consistently linked with childhood obesity, possibly via disrupting appetite hormones and increasing food responsiveness. Few studies have objectively examined this association in early childhood. OBJECTIVE: To evaluate associations of sleep quantity and quality with child appetitive traits and eating in the absence of hunger (EAH) in a higher-income cohort of 86 preschool-age children (age 4.0 ± 0.8 years; 42% female; 93% non-Hispanic white, Northern New England, US). METHODS: Children's sleep duration and quality were assessed via parent report (Children's Sleep Habits Questionnaire, CSHQ) at baseline and 6-month follow-up and via accelerometry at baseline. Parents also completed the Child Eating Behaviors Questionnaire to assess the child's appetitive traits. EAH, an objective measure of overeating, was observed at baseline during an in-person visit. Associations between sleep measures and appetitive traits were examined with linear mixed-effect or linear regression models, as appropriate, adjusting for child age, sex, and household income. RESULTS: Shorter sleep duration per parent report was associated with less satiety responsiveness (standardized ß = 0.14, 95% CI: 0.01, 0.26; p = 0.03). Further, satiety responsiveness was inversely related to EAH (Pearson's r = -0.35, p = 0.02). No associations were found between accelerometer-measured sleep parameters and appetitive traits, and no sleep measures were related to EAH. CONCLUSIONS: Shorter usual sleep, per the parent report, was cross-sectionally associated with reduced satiety responsiveness in this sample of higher-income preschoolers. Future studies should consider whether socioeconomic status may modify the impact of poor sleep on appetitive traits in early childhood.

Associations between behavioral self-regulation and external food cue responsiveness (EFCR) in preschool-age children and evidence of modification by parenting style.

Decreased behavioral regulation is hypothesized to be a risk factor for excess weight gain among children, possibly via reduced appetite-specific regulation. Little research has specifically focused on behavioral regulation and food cue responsiveness, a conditioned precursor to eating, at a young age. This study examined the association between behavioral regulation and external food cue responsiveness among preschool-age children and explored if a more structured parenting style moderated that association. Baseline data from a prospective study on media use among preschool-age children (n = 83) in Northern New England were used. Parents reported on three domains of children's behavioral regulation (attentional focusing, inhibitory control, and emotional self-regulation), the children's external food cue responsiveness (EFCR), and their parenting styles (authoritative and permissive) via validated questionnaires. Mean age among children was 4.31 (SD 0.91) years, 57% of children were male, 89% were non-Hispanic white, and 26.2% had overweight or obesity. In a series of adjusted linear regression models, lower attentional focusing (standardized ß, ßs = -0.35, p = 0.001), inhibitory control (ßs = -0.30, p = 0.008), and emotional self-regulation (standardized beta, ßs = -0.38, p < 0.001) were each significantly associated with greater EFCR. In exploratory analyses, a more structured parenting style (more authoritative or less permissive) mitigated the associations between inhibitory control and EFCR (Bonferroni-adjusted p-interaction < 0.017). Findings support that lower attentional focusing, inhibitory control, and emotional self-regulation relate to greater ECFR in preschool-age children. The association between inhibitory control and EFCR may be modified by parenting style. Further research is needed to understand if children's responsiveness to external food cues may account for reported associations between lower behavioral regulation and adiposity gain over time.

A national evaluation of geographic accessibility and provider availability of obesity medicine diplomates in the United States between 2011 and 2019.

BACKGROUND/OBJECTIVES: Obesity is a pressing health concern within the United States (US). Obesity medicine "diplomates" receive specialized training, yet it is unclear if their accessibility and availability adequately serves the need. The purpose of this research was to understand how accessibility has evolved over time and assess the practicality of serving an estimated patient population with the current distribution and quantity of diplomates. METHODS: Population-weighted Census tracts in US counties were mapped to the nearest facility on a road network with at least one diplomate who specialized in adult (including geriatric) care between 2011 and 2019. The median travel time for all Census tracts within a county represented the primary geographic access measure. Availability was assessed by estimating the number of diplomates per 100 000 patients with obesity and the number of facilities able to serve assigned patients under three clinical guidelines. RESULTS: Of the 3371 diplomates certified since 2019, 3036 were included. The median travel time (weighted for county population) fell from 28.5 min [IQR: 13.7, 68.1] in 2011 to 9.95 min [IQR: 7.49, 18.1] in 2019. There were distinct intra- and inter-year travel time variations by race, ethnicity, education, median household income, rurality, and Census region (all P < 0.001). The median number of diplomates per 100 000 with obesity grew from 1 [IQR: 0.39, 1.59] in 2011 to 5 [IQR: 2.74, 11.4] in 2019. In 2019, an estimated 1.7% of facilities could meet the recommended number of visits for all mapped patients with obesity, up from 0% in 2011. CONCLUSIONS: Diplomate geographic access and availability have improved over time, yet there is still not a high enough supply to serve the potential patient demand. Future studies should quantify patient-level associations between travel time and health outcomes, including whether the number of available diplomates impacts utilization.

Diet Quality and Survival in a Population-Based Bladder Cancer Study.

Nutrition may impact bladder cancer survival. We examined the association between diet quality and overall and bladder cancer-specific survival. Bladder cancer cases from a population-based study reported pre-diagnosis diet. Diet quality was assessed using the 2010 Alternate Healthy Eating Index (AHEI-2010). Vital status was ascertained from the National Death Index. Adjusted hazard ratios (HR) and 95% confidence intervals (CI) were estimated using proportional hazards and competing risks regression models. Overall AHEI-2010 adherence was not associated with overall or bladder cancer-specific survival among non-muscle invasive bladder cancer (NMIBC) cases (HR, 1.00; 95% CI, 0.98-1.01; HR, 1.00; 95% CI, 0.97-1.02) or muscle invasive bladder cancer (MIBC) cases (HR, 0.99; 95% CI, 0.96-1.03; HR, 1.01, 95% CI 0.97-1.06). AHEI-2010 sugar-sweetened beverages adherence was associated with poorer overall survival (HR, 1.04; 95% CI, 1.01-1.08) and AHEI-2010 sodium adherence was associated with better overall and bladder cancer-specific survival after NMIBC diagnosis (HR, 0.92, 95% CI, 0.85-1.00; HR, 0.82; 95% CI, 0.68-0.98). AHEI-2010 fruit adherence was associated with poorer overall and bladder cancer-specific survival after MIBC diagnosis (HR, 1.17; 95% CI, 1.02-1.33; HR, 1.26; 95% CI, 1.03-1.55). Consumption of sugar-sweetened beverages, sodium, and fruit, not overall AHEI-2010 adherence, may be associated with bladder cancer survival.

Tobacco Use and Respiratory Symptoms Among Adults: Findings From the Longitudinal Population Assessment of Tobacco and Health (PATH) Study 2014-2016.

INTRODUCTION: We examined the relationship between current tobacco use and functionally important respiratory symptoms. METHODS: Longitudinal cohort study of 16 295 US adults without COPD in Waves 2-3 (W2-3, 2014-2016) of the Population Assessment of Tobacco and Health Study. Exposure-Ten mutually exclusive categories of tobacco use including single product, multiple product, former, and never use (reference). Outcome-Seven questions assessing wheezing/cough were summed to create a respiratory symptom index; cutoffs of ≥2 and ≥3 were associated with functional limitations and poorer health. Multivariable regressions examined both cutoffs cross-sectionally and change over approximately 12 months, adjusting for confounders. RESULTS: All tobacco use categories featuring cigarettes (>2/3's of users) were associated with higher risk (vs. never users) for functionally important respiratory symptoms at W2, for example, at symptom severity ≥ 3, risk ratio for exclusive cigarette use was 2.34 [95% CI, 1.92, 2.85] and for worsening symptoms at W3 was 2.80 [2.08, 3.76]. There was largely no increased symptom risk for exclusive use of cigars, smokeless tobacco, hookah, or e-cigarettes (adjustment for pack-years and marijuana attenuated the cross-sectional e-cigarette association from 1.53(95% CI 0.98, 2.40) to 1.05 (0.67, 1.63); RRs for these products were also significantly lower compared to exclusive use of cigarettes. The longitudinal e-cigarette-respiratory symptom association was sensitive to the respiratory index cutoff level; exclusive e-cigarette use was associated with worsening symptoms at an index cutoff ≥ 2 (RR = 1.63 [1.02, 2.59]) and with symptom improvement at an index cutoff of ≥ 3 (RR = 1.64 [1.04, 2.58]). CONCLUSIONS: Past and current cigarette smoking drove functionally important respiratory symptoms, while exclusive use of other tobacco products was largely not associated. However, the relationship between e-cigarette use and symptoms was sensitive to adjustment for pack-years and symptom severity. IMPLICATIONS: How noncigarette tobacco products affect respiratory symptoms is not clear; some studies implicate e-cigarettes. We examined functionally important respiratory symptoms (wheezing/nighttime cough) among US adults without COPD. The majority of adult tobacco users smoke cigarettes and have higher risk of respiratory symptoms and worsening of symptoms, regardless of other products used with them. Exclusive use of other tobacco products (e-cigarettes, cigars, smokeless, hookah) was largely not associated with functionally important respiratory symptoms and risks associated with their use was significantly lower than for cigarettes. The association for e-cigarettes was greatly attenuated by adjustment for cigarette pack-years and sensitive to how symptoms were defined.

Associations between adolescent and young adult External Food Cue Responsiveness (EFCR) and brand recall, product craving and product purchasing in the livestreaming food marketing environment.

OBJECTIVE: To evaluate the utility of three validated food responsiveness scales in measuring recall of, and responsiveness to, food marketing exposure on social media. DESIGN: Cross-sectional survey among adolescents and adults who used the social media platform Twitch.tv (Twitch). Responsiveness to food marketing was self-reported as craving or purchasing any brands participants observed on Twitch. Participants completed three validated scales of food responsiveness: the revised 18-question Three Factor Eating Questionnaire (TFEQ), the external eating subscale of the Dutch Eating Behavior Questionnaire (DEBQ) and the External Food Cue Responsiveness (EFCR) scale. Adjusted linear regression models assessed the predictive ability of each scale on recall and responsiveness outcomes. SETTING: Online survey. PARTICIPANTS: Five hundred and sixty-eight Twitch users (90·1 % male, 60·6 % White, 43·7 % aged 18-24, 25·9 % under 18). RESULTS: In separate adjusted linear regression models, scores on the TFEQ were not related to any outcome, while DEBQ scores related to product cravings (OR: 1·10, 95 % CI 1·01, 1·19, P = 0·02). In contrast, scores on the EFCR scale were significantly associated with higher brand recall (incident rate ratio: 1·42, 95 % CI 1·20, 1·68, P < 0·001), product craving (OR: 3·93, 95 % CI 2·22, 7·17, P < 0·001) and purchasing behaviour (OR: 3·97, 95 % CI 1·99, 8·26, P < 0·001). A subset of three EFCR scale items related to influencer marketing were similarly associated with each outcome with greater precision in the point estimates than the overall EFCR. CONCLUSIONS: The EFCR scale predicted recall of and responsiveness to food marketing via Twitch, suggesting its utility in monitoring the effects of food marketing on social media.

Quantifying differences in packaged food and drink purchases among households with diet-related cardiometabolic multi-morbidity: a cross-sectional analysis.

BACKGROUND: Diet is important for chronic disease management, with limited research understanding dietary choices among those with multi-morbidity, the state of having 2 or more chronic conditions. The objective of this study was to identify associations between packaged food and drink purchases and diet-related cardiometabolic multi-morbidity (DRCMM). METHODS: Cross-sectional associations between packaged food and drink purchases and household DRCMM were investigated using a national sample of U.S. households participating in a research marketing study. DRCMM households were defined as household head(s) self-reporting 2 or more diet-related chronic conditions. Separate multivariable logistic regression models were used to model the associations between household DRCMM status and total servings of, and total calories and nutrients from, packaged food and drinks purchased per month, as well as the nutrient density (protein, carbohydrates, and fat per serving) of packaged food and drinks purchased per month, adjusted for household size. RESULTS: Among eligible households, 3795 (16.8%) had DRCMM. On average, households with DRCMM versus without purchased 14.8 more servings per capita, per month, from packaged foods and drinks (p < 0.001). DRCMM households were 1.01 times more likely to purchase fat and carbohydrates in lieu of protein across all packaged food and drinks (p = 0.002, p = 0.000, respectively). DRCMM households averaged fewer grams per serving of protein, carbohydrates, and fat per month across all food and drink purchases (all p < 0.001). When carbonated soft drinks and juices were excluded, the same associations for grams of protein and carbohydrates per serving per month were seen (both p < 0.001) but the association for grams of fat per serving per month attenuated. CONCLUSIONS: DRCMM households purchased greater quantities of packaged food and drinks per capita than non-DRCMM households, which contributed to more fat, carbohydrates, and sodium in the home. However, food and drinks in DRCMM homes on average were lower in nutrient-density. Future studies are needed to understand the motivations for packaged food and drink choices among households with DRCMM to inform interventions targeting the home food environment.

Can diverse population characteristics be leveraged in a machine learning pipeline to predict resource intensive healthcare utilization among hospital service areas?

BACKGROUND: Super-utilizers represent approximately 5% of the population in the United States (U.S.) and yet they are responsible for over 50% of healthcare expenditures. Using characteristics of hospital service areas (HSAs) to predict utilization of resource intensive healthcare (RIHC) may offer a novel and actionable tool for identifying super-utilizer segments in the population. Consumer expenditures may offer additional value in predicting RIHC beyond typical population characteristics alone. METHODS: Cross-sectional data from 2017 was extracted from 5 unique sources. The outcome was RIHC and included emergency room (ER) visits, inpatient days, and hospital expenditures, all expressed as log per capita. Candidate predictors from 4 broad groups were used, including demographics, adults and child health characteristics, community characteristics, and consumer expenditures. Candidate predictors were expressed as per capita or per capita percent and were aggregated from zip-codes to HSAs using weighed means. Machine learning approaches (Random Forrest, LASSO) selected important features from nearly 1,000 available candidate predictors and used them to generate 4 distinct models, including non-regularized and LASSO regression, random forest, and gradient boosting. Candidate predictors from the best performing models, for each outcome, were used as independent variables in multiple linear regression models. Relative contribution of variables from each candidate predictor group to regression model fit were calculated. RESULTS: The median ER visits per capita was 0.482 [IQR:0.351-0.646], the median inpatient days per capita was 0.395 [IQR:0.214-0.806], and the median hospital expenditures per capita was $2,302 [1$,544.70-$3,469.80]. Using 1,106 variables, the test-set coefficient of determination (R2) from the best performing models ranged between 0.184-0.782. The adjusted R2 values from multiple linear regression models ranged from 0.311-0.8293. Relative contribution of consumer expenditures to model fit ranged from 23.4-33.6%. DISCUSSION: Machine learning models predicted RIHC among HSAs using diverse population data, including novel consumer expenditures and provides an innovative tool to predict population-based healthcare utilization and expenditures. Geographic variation in utilization and spending were identified.

Characterizing the Prevalence of Obesity Misinformation, Factual Content, Stigma, and Positivity on the Social Media Platform Reddit Between 2011 and 2019: Infodemiology Study.

BACKGROUND: Reddit is a popular social media platform that has faced scrutiny for inflammatory language against those with obesity, yet there has been no comprehensive analysis of its obesity-related content. OBJECTIVE: We aimed to quantify the presence of 4 types of obesity-related content on Reddit (misinformation, facts, stigma, and positivity) and identify psycholinguistic features that may be enriched within each one. METHODS: All sentences (N=764,179) containing "obese" or "obesity" from top-level comments (n=689,447) made on non-age-restricted subreddits (ie, smaller communities within Reddit) between 2011 and 2019 that contained one of a series of keywords were evaluated. Four types of common natural language processing features were extracted: bigram term frequency-inverse document frequency, word embeddings derived from Bidirectional Encoder Representations from Transformers, sentiment from the Valence Aware Dictionary for Sentiment Reasoning, and psycholinguistic features from the Linguistic Inquiry and Word Count Program. These features were used to train an Extreme Gradient Boosting machine learning classifier to label each sentence as 1 of the 4 content categories or other. Two-part hurdle models for semicontinuous data (which use logistic regression to assess the odds of a 0 result and linear regression for continuous data) were used to evaluate whether select psycholinguistic features presented differently in misinformation (compared with facts) or stigma (compared with positivity). RESULTS: After removing ambiguous sentences, 0.47% (3610/764,179) of the sentences were labeled as misinformation, 1.88% (14,366/764,179) were labeled as stigma, 1.94% (14,799/764,179) were labeled as positivity, and 8.93% (68,276/764,179) were labeled as facts. Each category had markers that distinguished it from other categories within the data as well as an external corpus. For example, misinformation had a higher average percent of negations (ß=3.71, 95% CI 3.53-3.90; P<.001) but a lower average number of words >6 letters (ß=-1.47, 95% CI -1.85 to -1.10; P<.001) relative to facts. Stigma had a higher proportion of swear words (ß=1.83, 95% CI 1.62-2.04; P<.001) but a lower proportion of first-person singular pronouns (ß=-5.30, 95% CI -5.44 to -5.16; P<.001) relative to positivity. CONCLUSIONS: There are distinct psycholinguistic properties between types of obesity-related content on Reddit that can be leveraged to rapidly identify deleterious content with minimal human intervention and provide insights into how the Reddit population perceives patients with obesity. Future work should assess whether these properties are shared across languages and other social media platforms.

Associations between advertisement-supported media exposure and dietary quality among preschool-age children.

Foods of low nutritional quality are heavily marketed to children, and exposure to food ads shapes children's preferences and intake towards advertised foods. Whether food ad exposure independently relates to an overall lower diet quality among children remains unclear. We examined the association between ad-supported media use, a proxy for food ad exposure, and diet quality using the baseline data (2014-2015) from 535 3-5-year-olds in a community-based cohort study. Parents reported their child's dietary intake over 3 days via a diary, and diet quality was assessed with the Healthy Eating Index (HEI-2015) where higher scores reflect greater adherence to USDA dietary guidelines. Children's media exposure was measured through online parent surveys. Mean HEI score was 54.5 (SD = 9.4). In models adjusted for sociodemographic characteristics and metrics of parent diet quality, children's HEI scores were 0.5 points lower (adjusted beta = -0.5 [95% CI: 0.8, -0.1]; P < 0.01) for each 1-h increment in weekly viewing of ad-supported children's TV networks. Children's use of media that may have food ads (e.g., apps, online games) also related to a lower diet quality yet to a lesser extent (adjusted beta -0.2 [-0.2, -0.1]; P < 0.01). In contrast, children's ad-free media use was not associated with diet quality (P = 0.21). Findings support the premise that exposure to food advertisements via media may result in a lower quality diet among children independently of other risk factors.

Prevalence and strategies of energy drink, soda, processed snack, candy and restaurant product marketing on the online streaming platform Twitch.

OBJECTIVE: To evaluate the prevalence of food and beverage marketing on Twitch.tv (Twitch), a social media platform where individuals broadcast live audiovisual material to millions of daily users. DESIGN: Observational analysis of the prevalence of 238 food and beverage brands in five distinct categories (processed snacks; food delivery services and restaurants; candies, energy drinks/coffees/teas; and sodas and other sugar-sweetened beverages) over the course of 18 months. SETTING: Twitch streamer profiles and stream titles between January 2018 and July 2019. Twitch chat room messages during July 2019. PARTICIPANTS: None. RESULTS: There was a significant increase in brand exposure on Twitch both in stream titles (sodas and candies, P < 0·05) and on streamer profiles (sodas, restaurants/food delivery services, candies, and energy drinks/coffees/teas, P < 0·05) over the 18-month study period. Energy drinks, coffees and teas had the most exposure with 1·08 billion exposure hours from profiles and 83 million exposure hours from titles. Restaurants/food delivery services and sugar-sweetened beverages were the most frequently mentioned products in chat rooms with 1·24 million messages and 1·10 million messages, respectively. CONCLUSIONS: This study is the first to demonstrate the extent by which food and beverage brands garner millions of hours of exposure on Twitch. Future studies should evaluate the impact that this level of exposure to nutrient-poor, energy-dense products may have on behavioural and health outcomes.

Household chaos: a risk factor for adverse child outcomes gains attention in public health.

Household chaos, characterized by high levels of confusion, disorganization and hurriedness in the home, is increasingly recognized as an important risk factor for adverse child outcomes. Early research on household chaos and child well-being was largely within the field of developmental psychology, where greater levels of household chaos has been associated with greater behavioral, attention and learning problems in young children. The potential influence of household chaos on child health behaviors is more recently gaining attention within public health. A recent study by Marsh et al., entitled, the Relationship between Household Chaos and Child, Parent, and Family Outcomes: A Systematic Scoping Review, presents the findings from 112 studies that assessed the influence of household chaos on a wide range of child outcomes. Findings highlight the various adverse child health outcomes across multiple domains that may be negatively affected by greater levels of household chaos including a few that reflect child health behaviors such as sleep, diet and weight gain. The review additionally presents findings from mediation and moderation analyses. This commentary highlights key aspects of the Marsh et al. review and outlines the implications of the work within health behavior research. This commentary further identifies child screen media use as a critically understudied area when considering the interplay between household chaos and child well-being.

Measuring attentional bias to food cues in young children using a visual search task: An eye-tracking study.

OBJECTIVE: Attentional bias to food cues may be a risk factor for childhood obesity, yet there are few paradigms to measure such biases in young children. Therefore, the present work introduces an eye-tracking visual search task to measure attentional bias in young children. METHODS: Fifty-one 3-6-year-olds played a game to find a target cartoon character among food (experimental condition) or toy (control condition) distractors. Children completed the experimental and toy conditions on two separate visits in randomized order. Behavioral (response latencies) and eye-tracking measures (time to first fixation, initial gaze duration duration, cumulative gaze duration ) of attention to food and toy cues were computed. Regressions were used to test for attentional bias to food versus toy cues, and whether attentional bias to food cues was related to current BMI z-score. RESULTS: Children spent more cumulative time looking at food versus toy distractors and took longer to locate the target when searching through food versus toy distractors. The faster children fixated on their first food versus toy distractor was associated with higher BMI z-scores. CONCLUSIONS: Using a game-based paradigm employing eye-tracking, we found a behavioral attentional bias to food vs. toy distractors in young children. Further, attentional bias to food cues was associated with current BMI z-score.

Youth Access to Tobacco Products in the United States: Findings From Wave 1 (2013-2014) of the Population Assessment of Tobacco and Health Study.

OBJECTIVES: Tobacco products in the US market are growing in diversity. Little is known about how youth access tobacco products given this current landscape. METHODS: Data were drawn from 15- to 17-year-olds from the Wave 1 youth sample of the US nationally representative Population Assessment of Tobacco and Health (PATH) Study. Past 30-day tobacco users were asked about usual sources of access to 12 different tobacco products, and if they had been refused sale because of their age. RESULTS: Among 15- to 17-year-olds, social sources ("someone offered" or "asked someone") were the predominant usual source of access for each tobacco product. "Bought by self" was the usual source of access for users of smokeless (excluding snus, 23.2%), cigarillos (21.0%), cigarettes (13.8%), hookah (12.0%), and electronic cigarettes (10.5%). Convenience stores and/or gas stations were the most often selected retail source for all products except hookah. Among youth who attempted purchase, 24.3% were refused sale of cigarettes, 23.9% cigarillos, and 13.8% smokeless tobacco. CONCLUSIONS: Most 15- to 17-year-old tobacco users obtain tobacco products through social sources; however, among those who purchased tobacco, the majority report not being refused sale because of age. At the time of survey, cigarette and cigar sales to under 18 years were prohibited in all 50 states, and electronic cigarettes sales in 47 states and two territories. 2014 Annual Synar Reports signaled increasing trends in retail violations of state and/or district laws prohibiting tobacco product sales to under 18 years. Monitoring illicit youth sales, conducting compliance check inspections, and penalizing violations remain important to reduce youth tobacco access at retail venues. IMPLICATIONS: Access to the spectrum of tobacco products by youth in the United States remains predominantly through social sources. However, of the minority of youth tobacco users in 2014 who purchased tobacco themselves, a few reported being refused sale: Convenience stores and/or gas stations were the most common retail source for tobacco products. The strategies of monitoring illicit youth sales, conducting compliance checks, and penalizing violations remain important to reduce youth tobacco access at retail venues. Limiting sources of youth tobacco access remains an important focus to reduce the burden of tobacco on the public health.

Measurement of external food cue responsiveness in preschool-age children: Preliminary evidence for the use of the external food cue responsiveness scale.

BACKGROUND: Conditioned eating in response to external food cues may contribute to obesity risk in young children. OBJECTIVES: To develop a brief, parent-reported scale to measure external food cue responsiveness for preschool-age children. METHODS: Focus groups with parents of preschool-age children were conducted to create an initial pool of items reflecting children's behavioral responses to external food cues. Items were included in a nationally-distributed online survey of parents of preschool-age children (n = 456). Factor analysis was used to reduce the initial item pool, the scale's psychometric properties were assessed, and scores were correlated with reported snacking behaviors. RESULTS: Nine items met inclusion criteria in the final scale, which had high internal consistency (alpha = 0.86). Final scores were the mean across the nine items. External food cue responsiveness was greater among children with, versus without, usual TV advertisement exposure. Furthermore, greater external food cue responsiveness mediated the relationship between children's usual TV advertisement exposure and snacking during TV viewing. Findings remained statistically significant when adjusted for food responsiveness as measured with the Child Eating Behavior Questionnaire. CONCLUSIONS: Findings provide preliminary evidence that external food cue responsiveness is measurable by parental report in preschool-age children.

Influence of child-targeted fast food TV advertising exposure on fast food intake: A longitudinal study of preschool-age children.

INTRODUCTION: Fast food (FF) advertising is a potential risk factor for FF consumption among children, yet the impact of such advertising on children's FF intake has not been assessed in a longitudinal, naturalistic study. Whether parents' FF consumption mitigates advertising effects is also unknown. METHODS: One-year, longitudinal study among 624 preschool-age children, 3-5 years old, and one parent each recruited from New Hampshire, 2014-2015. Parents completed six online surveys every eight weeks and, at each, reported the number of times their children consumed FF in the past week. Each child's advertisement exposure was determined by counting the brand-specific FF advertisements aired within the programs they viewed on children's TV networks during the study. At baseline, parents reported the frequency of their own FF consumption. Data were analyzed in 2017-2018. RESULTS: Three FF brands targeted TV advertising to children during the study: McDonald's, Wendy's and Subway. Few children were exposed to child-targeted advertising for Wendy's or Subway. Results from adjusted Poisson regression models focused on McDonald's showed a differential effect of advertisement exposure on children's McDonald's intake in the past week (any or mean intake) by parental FF consumption (P < 0.01). Specifically, McDonald's intake was consistently high among children whose parents consumed FF more frequently (≥monthly), regardless of children's advertisement exposure. However, advertisement exposure increased the risk of McDonald's intake among children nearly two-fold when parents consumed FF less frequently (

Better Diet Quality during Pregnancy Is Associated with a Reduced Likelihood of an Infant Born Small for Gestational Age: An Analysis of the Prospective New Hampshire Birth Cohort Study.

Background: Birth weight has a U-shaped relation with chronic disease. Diet quality during pregnancy may impact fetal growth and infant birth weight, yet findings are inconclusive. Objective: We examined the relation between maternal diet quality during pregnancy and infant birth size among women enrolled in a prospective birth cohort. Methods: Women 18-45 y old with a singleton pregnancy were recruited at 24-28 wk of gestation from prenatal clinics in New Hampshire. Women completed a validated food frequency questionnaire at enrollment. Diet quality was computed as adherence to the Alternative Healthy Eating Index. Infant birth outcomes (sex, head circumference, weight, and length) were extracted from medical records. Weight-for-length z scores, low birth weight, macrosomia, and size for gestational age [small for gestational age (SGA) or large for gestational age (LGA)] were computed. Multivariable regression models fit each outcome on quartiles of diet quality, adjusted for covariates. Models were computed overall and stratified by smoking status. Results: Analyses included 862 women and infants with complete data. Lower diet quality was associated with lower maternal education, being a smoker, prepregnancy obesity status, and lack of exercise during pregnancy. Overall, 3.4% of infants were born with a low birth weight, 12.1% with macrosomia, 4.6% were SGA, and 8.7% were LGA. In an adjusted model, increased diet quality appeared linearly associated with a reduced likelihood of SGA (P-trend = 0.03), although each quartile comparison did not reach statistical significance. Specifically, ORs for SGA were 0.89 (95% CI: 0.37, 2.15), 0.73 (95% CI: 0.28, 1.89), and 0.35 (95% CI: 0.11, 1.08) for each increasing quartile of diet quality compared to the lowest quartile. Similar trends for SGA were observed among non-smokers (n = 756; P-trend = 0.07). Also among non-smokers, increased diet quality was associated with lower infant birth weight (P-trend = 0.03) and a suggested reduction in macrosomia (P-trend = 0.07). Conclusions: Increased diet quality during pregnancy was related to a reduced risk of SGA in this cohort of pregnant women from New Hampshire. Additional studies are needed to elucidate the relation between maternal diet quality and macrosomia.