Associations of 5-year changes in alcoholic beverage intake with 5-year changes in waist circumference and BMI in the Coronary Artery Risk Development in Young Adults (CARDIA) study.

OBJECTIVE: This study aimed to shed light on contradictory associations of alcohol intake with waist circumference (WC) and body mass index (BMI) by examining 5-yr changes in alcohol intake in relation to 5-yr WC and BMI changes. METHODS: This prospective study included 4,355 participants (1,974 men and 2,381 women) enrolled in the Coronary Artery Risk Development in Young Adults (CARDIA) study at baseline (1985-1986) and followed over 25 years (2010-2011). Longitudinal random effects linear regression models were used to test whether changes in drinking (defined categorically) as starting to drink, increasing, decreasing, stable drinking or stopping drinking (versus stable non-drinking) over a series of 5-yr periods were associated with corresponding 5-yr WC and BMI changes. Associations with 5-yr changes (defined categorically as starting, stable or stopping) in drinking level (i.e., light/moderate and excessive) and 5-yr changes (defined categorically as increasing, no change, or decreasing) by beverage type (i.e., beer, wine and liquor/mixed drinks) were also examined. RESULTS: In men, compared to stable non-drinking, decreasing total alcohol intake was associated with lower 5-yr WC (ß:-0.62 cm; 95% CI: -1.09, -0.14 cm) and BMI gains (ß:-0.20 kg/m2; 95% CI: -0.30, -0.03 kg/m2) and stopping excessive drinking was associated with lower 5-yr WC gains (ß:-0.77 cm; 95% CI: -1.51, -0.03 cm). In women, compared to those with stable non-drinking habits, starting light/moderate drinking was associated with lower 5-yr WC (ß: -0.78 cm; 95% CI: -1.29, -0.26 cm) and BMI gains (ß:-0.42 kg/m2; 95% CI: -0.64, -0.20 kg/m2). Increasing wine intake was associated with a lower 5-yr BMI gain (ß:-0.27 kg/m2; 95% CI: -0.51, -0.03 kg/m2). Decreasing liquor/mixed drink (ß:-0.33 kg/m2; 95% CI: -0.56, -0.09 kg/m2) intake was associated with lower 5-yr WC (ß:-0.88 cm; 95% CI: -1.43, -0.34 cm) and BMI (ß:-0.33 kg/m2; 95% CI: -0.56, -0.09 kg/m2) gains. CONCLUSIONS: Associations of alcohol intake with obesity measures are complex. In women, wine and liquor/mixed drink intakes had contrasting associations with WC and BMI change. In men, decreasing weekly alcoholic beverage intake with an emphasis on stopping excessive consumption may be beneficial in managing WC and BMI gains.

Simulating the impact of sodium reduction from packaged foods on population sodium intake in US adults and children.

OBJECTIVE: To simulate the impact that Na reductions in food categories that are the largest contributors to dietary Na intake would have on population Na intake from packaged foods among US adults and children. DESIGN: 24 h Dietary recall data were used. For each store-bought packaged food product reported by participants, we generated sales-weighted Na content at the median and 25th percentile using Nutrition Facts Panel data from 193 195 products purchased by US households. The impact that Na reductions would have on population Na intake, overall and by sociodemographic subgroup, was examined. SETTINGS: US households. PARTICIPANTS: Children aged 2-18 years (n 2948) and adults aged >18 years (n 4878), 2011-2012 National Health and Nutrition Examination Survey. RESULTS: Na intake from packaged foods was 1258 (se 21) mg for adults and 1215 (se 35) mg for children. Top-ten packaged food group sources contributed 67 % of Na intake. For adults and children, there was a decrease of 8·7 % (109 mg) and 8·0 % (97 mg), respectively, in Na intake if the top-ten sources reduced Na from the median to the 25th percentile. Although absolute reduction in intake varied between sociodemographic subgroups, significant differences were not observed. CONCLUSIONS: The study demonstrated that if Na reduction shifted the top-ten packaged food group sources of dietary Na intake from the median to 25th percentile, population Na intake would be reduced by 9 % in US adults and children. These findings will help inform the US government's Na reduction targets, as well as policy makers' understanding of differences in intake of critical sub-populations in the USA.

Child Maltreatment and Body Mass Index over Time: The Roles of Social Support and Stress Responses.

An unhealthy body mass index (BMI) trajectory can exacerbate the burdens associated with child maltreatment. However, we have yet to explain why the relationship between maltreatment and BMI trajectories exists and what allows individuals to attain healthy BMI trajectories despite adversity. Guided by the Transactional Model of Stress and Coping, we evaluated (1) if peer friendship and adult mentors moderate, and (2) if impulsivity and depressive symptoms mediate, the relationship between maltreatment experiences and average excess BMI. We used data from four waves of the National Longitudinal Study of Adolescent to Adult Health (n = 17,696), following adolescents from ages 13-21 (Wave I) to 24-31 years (Wave IV). We did not find evidence of significant moderation or mediation of the maltreatment experience to average excess BMI relationship. However, models did demonstrate a relationship between peer friendship quality and average excess BMI, such that higher quality protected against higher average excess BMI (B = -0.073, s.e. = 0.02, p < 0.001). Age of maltreatment onset was also associated with average excess BMI, such that maltreatment onset in adolescence was associated with a higher average excess BMI (B = 0.275-0.284, s.e. = 0.11, p = 0.01). Although we found no evidence of moderation by social support or mediation by stress responses of the relationship between maltreatment experiences and average excess BMI, peer friendship appears to protect against higher average excess BMI from adolescence to young adulthood for all adolescents. Future public health interventions should consider how to leverage friendship in obesity prevention efforts.

Is a Hypertension Diagnosis Associated With Improved Dietary Outcomes Within 2 to 4 Years? A Fixed-Effects Analysis From the China Health and Nutrition Survey.

Background Evidence shows that dietary factors play an important role in blood pressure. However, there is no clear understanding of whether hypertension diagnosis is associated with dietary modifications. The aim of this study is to estimate the longitudinal association between hypertension diagnosis and subsequent changes (within 2-4 years) in dietary sodium, potassium, and sodium-potassium (Na/K) ratio. Methods and Results We included adults (18-75 years, n=16 264) from up to 9 waves (1991-2015) of the China Health and Nutrition Survey. Diet data were collected using three 24-hour dietary recalls and a household food inventory. We used fixed-effects models to estimate the association between newly self-reported diagnosed hypertension and subsequent within-individual changes in sodium, potassium, and Na/K ratio. We also examined changes among couples and at the household level. Results suggest that on average, men who were diagnosed with hypertension decreased their sodium intake by 251 mg/d and their Na/K ratio by 0.19 within 2 to 4 years after diagnosis (P<0.005). Among spouse pairs, sodium intake and Na/K ratio of women decreased when their husbands were diagnosed (P<0.05). Household average sodium density and Na/K ratio decreased, and household average potassium density increased after a man was diagnosed. In contrast, changes were not statistically significant when women were diagnosed. Conclusions Our findings suggest that hypertension diagnosis for a man may result in modest dietary improvements for him, his wife, and other household members. Yet, diagnosis for a woman does not seem to result in dietary changes for her or her household members.

Sensitive Periods for the Association Between Childhood Maltreatment and BMI.

INTRODUCTION: Although previous research has suggested a positive association between child maltreatment and BMI over the life course, it is unclear when this develops. METHODS: The authors used time-varying effect models and data from a nationally representative, longitudinal, cohort study (Add Health), to test how childhood physical, sexual, and emotional abuse uniquely varied in associations with BMI from age 13 to 28 years, and whether different patterns existed for male and female participants. Add Health collected data from 1994 to 2008, and the present analyses took place in 2018. RESULTS: Age 18 years was the earliest that a relationship between maltreatment and BMI emerged for either sex. Child sexual abuse was negatively associated with BMI among male participants from 18.5 to 20 years, but positively associated with BMI among female participants from 19 to 24.5 years, and childhood emotional abuse was positively associated with BMI among female participants from 18 to 28 years. CONCLUSIONS: The relationship between child maltreatment and BMI varies as a function of type of maltreatment, sex, and time. Notably, associations between maltreatment and BMI did not emerge until young adulthood. Future research should investigate mechanisms by which the association between maltreatment and BMI changes over time to identify trauma-informed intervention targets for improving weight outcomes.

Maltreatment experience in childhood and average excess body mass from adolescence to young adulthood.

BACKGROUND: Prior studies have suggested maltreatment is a strong predictor of later weight outcomes, such that maltreatment experiences in childhood increase the likelihood of being overweight or obese in adulthood. Estimates of this relationship may be biased due to: 1) inadequate selection of covariates; 2) improper operationalization of child maltreatment; and 3) restricting analyses to cross-sectional outcomes. OBJECTIVES: Evaluate how latent classes of child maltreatment experiences are associated with a longitudinal BMI measure from adolescence to adulthood. PARTICIPANTS: Data from the National Longitudinal Study of Adolescent to Adult Health. METHODS: We evaluated how previously developed latent classes of child maltreatment experiences were associated with average excess BMI from adolescence to adulthood using multivariate linear regression. RESULTS: In the unadjusted model, individuals in the poly-maltreatment class (b = 0.46, s.e. = 0.20) and individuals who experienced adolescent-onset maltreatment (b = 0.36, s.e. = 0.11) had higher average excess BMI compared to individuals in the no maltreatment class. After adjusting for confounders, the relationship between poly-maltreatment and average excess BMI abated, whereas the relationship between adolescent-onset maltreatment and average excess BMI sustained (b = 0.28, s.e. = 0.11). CONCLUSIONS: Contrary to previous findings, our analyses suggest the association between maltreatment experiences and longitudinal weight outcomes dissipates after controlling for relevant confounders. We did find a relationship, however, between adolescent-onset maltreatment and average excess BMI from adolescence to adulthood. This suggests the importance of maltreatment timing in the relationship between maltreatment and weight.

Does a parsimonious measure of complex body mass index trajectories exist?

BACKGROUND: A single measure that distills complex body mass index (BMI) trajectories into one value could facilitate otherwise complicated analyses. This study creates and assesses the validity of such a measure: average excess BMI. METHODS: We use data from Waves I-IV of the National Longitudinal Study of Adolescent to Adult Health (n = 17,669). We calculate average excess BMI by integrating to find the area above a healthy BMI trajectory and below each subject-specific trajectory and divide this value by total study time. To assess validity and utility, we (1) evaluate relationships between average excess BMI from adolescence to adulthood and adult chronic conditions, (2) compare associations and fit to models using subject-specific BMI trajectory parameter estimates as predictors, and (3) compare associations to models using BMI trajectory parameter estimates as outcomes. RESULTS: Average excess BMI from adolescence to adulthood is associated with increased odds of hypertension (OR = 1.56; 95% CI: 1.47, 1.67), hyperlipidemia (OR = 1.36; 95% CI: 1.26, 1.47), and diabetes (OR = 1.57; 95% CI: 1.47, 1.67). The odds associated with average excess BMI are higher than the odds associated with the BMI intercept, linear, or quadratic slope. Correlations between observed and predicted health outcomes are slightly lower for some models using average excess BMI as the focal predictor compared to those using BMI intercept, linear, and quadratic slope. When using trajectory parameters as outcomes, some co-variates associate with the intercept, linear, and quadratic slope in contradicting directions. CONCLUSIONS: This study supports the utility of average excess BMI as an outcome. The higher an individual's average excess BMI from adolescence to adulthood, the greater their odds of chronic conditions. Future studies investigating longitudinal BMI as an outcome should consider using average excess BMI, whereas studies that conceptualize longitudinal BMI as the predictor should continue using traditional latent growth methods.

Persistent disparities over time in the distribution of sugar-sweetened beverage intake among children in the United States.

Background: Recent research suggests that sugar-sweetened beverage (SSB) consumption has been declining among US children aged 2-18 y. However, most studies focused on changes in mean intake, ignore high SSB consumers and do not examine intake among vulnerable groups and, including adolescents, low-income households, and several racial/ethnic minorities. Objective: The aim was to estimate usual SSB intake from NHANES surveys from 2003-2004 to 2013-2014 to examine shifts at both the median and 90th percentile among US children, evaluating the extent to which intake disparities in total SSBs and subtypes have persisted. Design: Children 2-18 y from NHANES 2003, 2005, 2007, 2009, 2011 and 2013. SSBs were all non-diet beverages sweetened with sugars including revising all beverages to as consumed status and excluding soy and dairy based beverages. The NCI usual intake method was used to estimate usual intake from two 24-hour recalls. A 2-part correlated model accounted for nonconsumers. Quantile regression was then used to examine differences in SSB usual intakes at the 50th and 90th percentiles by race-ethnicity, and examine interactions indicating whether racial-ethnic disparities in intake were modified by income. Results: Despite considerable declines, children's SSB intake remains high, particularly among heavy consumers. Among adolescents, median SSB intake in 2013-2014 was on the order of 150-200 kcal/d, and heavy intake at the 90th percentile was on the order of 250-300 kcal/d. There were important disparities in intake that persisted over time. Although high household income was associated with lower SSB intake in non-Hispanic white (NHW) children, intakes of non-Hispanic black (NHB) and Mexican-American (MA) children from these households were similar to or higher than those from poor households. There were also large racial/ethnic differences in the types of SSBs consumed. The consumption of regular sodas by NHB children was somewhat lower than among MA and NHW children, whereas fruit drink intake was markedly higher. Conclusions: Overall, these findings suggest that, despite recent declines, strategies are needed to further reduce SSB consumption, and particularly heavy intake, especially among NHB children where fruit drinks also are key source of SSBs.

Patterns and trends in the intake distribution of manufactured and homemade sugar-sweetened beverages in pre-tax Mexico, 1999-2012.

OBJECTIVE: To describe trends across the intake distribution of total, manufactured and homemade sugar-sweetened beverages (SSB) from 1999 to 2012, focusing on high SSB consumers and on changes by socio-economic status (SES) subgroup. DESIGN: We analysed data from one 24 h dietary recall from two nationally representative surveys. Quantile regression models at the 50th, 75th and 90th percentiles of energy intake distribution of SSB were used. SETTING: 1999 Mexican National Nutrition Survey and 2012 Mexican National Health and Nutrition Survey.ParticipantsSchool-aged children (5-11 years) and women (20-49 years) for trend analyses (n 7718). Population aged >1 year for 2012 (n 10 096). RESULTS: Over the 1999-2012 period, there were significant increases in the proportion of total and manufactured SSB consumers (5·7 and 10·7 percentage points), along with an increase in per-consumer SSB energy intake, resulting in significant increases in per-capita total SSB energy intake (142, 247 and 397 kJ/d (34, 59 and 95 kcal/d) in school-aged children and 155, 331 and 456 kJ/d (37, 79 and 109 kcal/d) in women at the 50th, 75th and 90th percentile, respectively). Total and manufactured SSB intakes increased sharply among low-SES children but remained similar among high-SES children during this time span. CONCLUSIONS: Large increases in SSB consumption were seen between 1999 and 2012 during this pre-tax SSB period, particularly for the highest consumers. Trends observed in school-aged children are a clear example of the nutrition transition experienced in Mexico. Policies to discourage high intake of manufactured SSB should continue, joined with strategies to encourage water and low-calorie beverage consumption.

Federal Nutrition Program Revisions Impact Low-income Households' Food Purchases.

INTRODUCTION: The Special Supplemental Nutrition Program for Women, Infants and Children (WIC) required major revisions to food packages in 2009; effects on nationwide low-income household purchases remain unexamined. METHODS: This study examines associations between WIC revisions and nutritional profiles of packaged food purchases from 2008 to 2014 among 4,537 low-income households with preschoolers in the U.S. (WIC participating versus nonparticipating) utilizing Nielsen Homescan Consumer Panel data. Overall nutrients purchased (e.g., calories, sugar, fat), amounts of select food groups with nutritional attributes that are encouraged (e.g., whole grains, fruits and vegetables) or discouraged (e.g., sugar-sweetened beverages, candy) consistent with dietary guidance, composition of purchases by degree of processing (less, moderate, or high), and convenience (requires preparation, ready to heat, or ready to eat) were measured. Data analysis was performed in 2016. Longitudinal random-effects model adjusted outcomes controlling for household composition, education, race/ethnicity of the head of the household, county quarterly unemployment rates, and seasonality are presented. RESULTS: Among WIC households, significant decreases in purchases of calories (-11%), sodium (-12%), total fat (-10%), and sugar (-15%) occurred, alongside decreases in purchases of refined grains, grain-based desserts, higher-fat milks, and sugar-sweetened beverages, and increases in purchases of fruits/vegetables with no added sugar/fats/salt. Income-eligible nonparticipating households had similar, but less pronounced, reductions. Changes were gradual and increased over time. CONCLUSIONS: WIC food package revisions appear associated with improved nutritional profiles of food purchases among WIC participating households compared with low-income nonparticipating households. These package revisions may encourage WIC families to make healthier choices among their overall packaged food purchases.

Associations of Alcoholic Beverage Consumption with Dietary Intake, Waist Circumference, and Body Mass Index in US Adults: National Health and Nutrition Examination Survey 2003-2012.

BACKGROUND: Findings from studies of alcohol and obesity measures (eg, waist circumference [WC] and body mass index [BMI; calculated as kg/m2]) are conflicting. Residual confounding by dietary intake, inconsistent definitions of alcohol consumption across studies, and the inclusion of former drinkers in the nondrinking comparison group can contribute to the mixed literature. OBJECTIVE: This study examines associations of alcoholic beverage consumption with dietary intake, WC, and BMI. DESIGN: Cross-sectional data from the 2003-2012 National Health and Nutrition Examination Survey were analyzed. PARTICIPANTS/SETTING: Adults 20 to 79 years of age (n=7,436 men; n=6,939 women) were studied. MAIN OUTCOME MEASURES: Associations of alcoholic beverage consumption with energy (kcal), macronutrient and sugar intakes (% kcal), WC, and BMI were determined. STATISTICAL ANALYSES PERFORMED: Multivariable linear regression models were used to determine associations of average daily volume and drinking quantity (ie, drinks per drinking day) with dietary intake and obesity measures. Former and never drinkers were analyzed as distinct categories; associations of drinking with WC and BMI were examined with and without adjustment for dietary intake variables. RESULTS: Heavier-drinking men (≥3 drinks/day) and women (≥2 drinks/day) consumed less nonalcoholic energy (ß -252 kcal/day, 95% CI -346 to -159 kcal/day and ß -159 kcal/day, 95% CI -245 to -73 kcal/day, respectively) than moderate drinkers (1 to 2 drinks/day in men and 1 drink/day in women). By average daily drinking volume, differences in WC and BMI between former and moderate drinkers were +1.78 cm (95% CI 0.51 to 3.05 cm) and +0.65 (95% CI 0.12 to 1.18) in men and +4.67 cm (95% CI 2.95 to 6.39 cm) and +2.49 (95% CI 1.64 to 3.34) in women. Compared with moderate drinking, heavier drinking volume was not associated with WC or BMI among men or women. In men, drinking ≥5 drinks/drinking day was associated with higher WC (ß 3.48 cm, 95% CI 1.97 to 5.00 cm) and BMI (ß 1.39, 95% CI 0.79 to 2.00) compared with men who consumed 1 to 2 drinks/drinking day. In women, WC and BMI were not significantly different for women drinking ≥4 drinks/drinking day compared with 1 drink/drinking day. CONCLUSIONS: Differences in dietary intake across drinking subgroups and separation of former drinkers from nondrinkers should be considered in studies of alcohol intake in relation to WC and BMI.

Development of a food composition database to monitor changes in packaged foods and beverages.

In order to monitor nutritional changes in the US food supply and assess potential impact on individual dietary intake, an approach was developed to enhance existing standard food composition tables with time-varying product- and brand-specific information for barcoded packaged foods. A "Crosswalk" was formed between barcoded products and USDA foodcodes in a time-specific manner, such that sales-weighted average nutritional profiles were generated for each foodcode based on corresponding products (275,000 to 350,000 per 2-year cycle). This Crosswalk-enhanced food composition table was applied to dietary intake data from the National Health and Nutrition Examination Survey (cycles 2007-2008, 2009-2010, and 2011-2012). Total energy density of foods consumed by Americans from stores/vending was stable over time and differed by <5 kcal/100g using the Crosswalk-enhanced vs standard database. However, changes in the energy density of food groups were found utilizing the Crosswalk that were not detected using the standard database. Likewise, significant declines in energy intake from beverages among children (288±7.3 to 258±6.8 kcal/d) were found using the Crosswalk-enhanced database but were non-significant using the standard database. The Crosswalk approach can potentially augment national nutrition surveys by utilizing commercial food purchase and nutrient databases to capture changes in the nutrient content of packaged foods.

Ultra-processed Food Intake and Obesity: What Really Matters for Health-Processing or Nutrient Content?

PURPOSE OF REVIEW: The aim of this narrative review was to summarize and critique recent evidence evaluating the association between ultra-processed food intake and obesity. RECENT FINDINGS: Four of five studies found that higher purchases or consumption of ultra-processed food was associated with overweight/obesity. Additional studies reported relationships between ultra-processed food intake and higher fasting glucose, metabolic syndrome, increases in total and LDL cholesterol, and risk of hypertension. It remains unclear whether associations can be attributed to processing itself or the nutrient content of ultra-processed foods. Only three of nine studies used a prospective design, and the potential for residual confounding was high. Recent research provides fairly consistent support for the association of ultra-processed food intake with obesity and related cardiometabolic outcomes. There is a clear need for further studies, particularly those using longitudinal designs and with sufficient control for confounding, to potentially confirm these findings in different populations and to determine whether ultra-processed food consumption is associated with obesity independent of nutrient content.

Sodium Reduction in US Households' Packaged Food and Beverage Purchases, 2000 to 2014.

Importance: Initiatives to reduce sodium in packaged foods have been launched in the United States, yet corresponding changes in the amount of sodium that US households obtain from packaged foods have not been evaluated, to our knowledge. Objective: To assess 15-year changes in the amount of sodium that US households acquire from packaged food purchases, the sodium content of purchases, and the proportion of households that have purchases with optimal sodium density. Design, Setting, and Participants: Longitudinal study of US households in the 2000 to 2014 Nielsen Homescan Consumer Panel, a population-based sample of households that used barcode scanners to record all packaged foods purchased throughout the year. Time-varying brand- and product-specific nutrition information was used for 1 490 141 products. Main Outcomes and Measures: Sociodemographic-adjusted changes in mean sodium per capita (mg/d) and sodium content (mg/100 g), overall and for top food group sources of sodium, and the proportion of households that have total purchases with sodium density of 1.1 mg/kcal or less. Results: In a nationwide sample of 172 042 US households (754 608 year-level observations), the amount of sodium that households acquired from packaged food and beverage purchases decreased significantly between 2000 and 2014 by 396 mg/d (95% CI, -407 to -385 mg/d) per capita. The sodium content of households' packaged food purchases decreased significantly during this 15-year period by 49 mg/100 g (95% CI, -50 to -48 mg/100 g), a 12.0% decline; decreases began in 2005 and continued through 2014. Moreover, the sodium content of households' purchases decreased significantly for all top food sources of sodium between 2000 and 2014, including declines of more than 100 mg/100 g for condiments, sauces, and dips (-114 mg/100 g; 95% CI, -117 to -111 mg/100 g) and salty snacks (-142 mg/100 g; 95% CI, -144 to -141 mg/100 g). However, in all years, less than 2% of US households had packaged food and beverage purchases with sodium density of 1.1 mg/kcal or less. Conclusions and Relevance: In this nationwide study, significant reductions in sodium from packaged food purchases were achieved in the past 15 years. Nonetheless, most US households had food and beverage purchases with excessive sodium density. Findings suggest that more concerted sodium reduction efforts are needed in the United States.

Emerging Disparities in Dietary Sodium Intake from Snacking in the US Population.

BACKGROUND: The US population consumes dietary sodium well in excess of recommended levels. It is unknown how the contribution of snack foods to sodium intake has changed over time, and whether disparities exist within specific subgroups of the US population. OBJECTIVE: To examine short and long term trends in the contribution of snack food sources to dietary sodium intake for US adults and children over a 37-year period from 1977 to 2014. METHODS: We used data collected from eight nationally representative surveys of food intake in 50,052 US children aged 2-18 years, and 73,179 adults aged 19+ years between 1977 and 2014. Overall, patterns of snack food consumption, trends in sodium intake from snack food sources and trends in food and beverage sources of sodium from snack foods across race-ethnic, age, gender, body mass index, household education and income groups were examined. RESULTS: In all socio-demographic subgroups there was a significant increase in both per capita sodium intake, and the proportion of sodium intake derived from snacks from 1977-1978 to 2011-2014 (p < 0.01). Those with the lowest household education, Non-Hispanic Black race-ethnicity, and the lowest income had the largest increase in sodium intake from snacks. While in 1977-1978 Non-Hispanic Blacks had a lower sodium intake from snacks compared to Non-Hispanic Whites (p < 0.01), in 2011-2014 they had a significantly higher intake. Conclusions: Important disparities are emerging in dietary sodium intake from snack sources in Non-Hispanic Blacks. Our findings have implications for future policy interventions targeting specific US population subgroups.

Color-Coded Front-of-Pack Nutrition Labels-An Option for US Packaged Foods?

The implementation of a standardized front-of-pack-labelling (FoPL) scheme would likely be a useful tool for many consumers trying to improve the healthfulness of their diets. Our objective was to examine what the traffic light labelling scheme would look like if implemented in the US. Data were extracted from Label Insight's Open Access branded food database in 2017. Nutrient levels and the proportion of products classified as "Red" (High), "Amber" (Medium) or "Green" (Low) in total fat, saturated fat, total sugar and sodium for food and beverage items were examined. The proportion of products in each category that had each possible combination of traffic light colors, and met the aggregate score for "healthy" was examined. Out of 175,198 products, >50% of all US packaged foods received a "Red" rating for total sugar and sodium. "Confectionery" had the highest mean total sugar (51.9 g/100 g) and "Meat and meat alternatives" the highest mean sodium (781 mg/100 g). The most common traffic light label combination was "Red" for total fat, saturated fat and sodium and "Green" for sugar. Only 30.1% of products were considered "healthy". A wide variety (n = 80) of traffic light color combinations were observed. A color coded traffic light scheme appears to be an option for implementation across the US packaged food supply to support consumers in making healthier food choices.

Changes in prices, sales, consumer spending, and beverage consumption one year after a tax on sugar-sweetened beverages in Berkeley, California, US: A before-and-after study.

BACKGROUND: Taxes on sugar-sweetened beverages (SSBs) meant to improve health and raise revenue are being adopted, yet evaluation is scarce. This study examines the association of the first penny per ounce SSB excise tax in the United States, in Berkeley, California, with beverage prices, sales, store revenue/consumer spending, and usual beverage intake. METHODS AND FINDINGS: Methods included comparison of pre-taxation (before 1 January 2015) and first-year post-taxation (1 March 2015-29 February 2016) measures of (1) beverage prices at 26 Berkeley stores; (2) point-of-sale scanner data on 15.5 million checkouts for beverage prices, sales, and store revenue for two supermarket chains covering three Berkeley and six control non-Berkeley large supermarkets in adjacent cities; and (3) a representative telephone survey (17.4% cooperation rate) of 957 adult Berkeley residents. Key hypotheses were that (1) the tax would be passed through to the prices of taxed beverages among the chain stores in which Berkeley implemented the tax in 2015; (2) sales of taxed beverages would decline, and sales of untaxed beverages would rise, in Berkeley stores more than in comparison non-Berkeley stores; (3) consumer spending per transaction (checkout episode) would not increase in Berkeley stores; and (4) self-reported consumption of taxed beverages would decline. Main outcomes and measures included changes in inflation-adjusted prices (cents/ounce), beverage sales (ounces), consumers' spending measured as store revenue (inflation-adjusted dollars per transaction) in two large chains, and usual beverage intake (grams/day and kilocalories/day). Tax pass-through (changes in the price after imposition of the tax) for SSBs varied in degree and timing by store type and beverage type. Pass-through was complete in large chain supermarkets (+1.07¢/oz, p = 0.001) and small chain supermarkets and chain gas stations (1.31¢/oz, p = 0.004), partial in pharmacies (+0.45¢/oz, p = 0.03), and negative in independent corner stores and independent gas stations (-0.64¢/oz, p = 0.004). Sales-unweighted mean price change from scanner data was +0.67¢/oz (p = 0.00) (sales-weighted, +0.65¢/oz, p = 0.003), with +1.09¢/oz (p < 0.001) for sodas and energy drinks, but a lower change in other categories. Post-tax year 1 scanner data SSB sales (ounces/transaction) in Berkeley stores declined 9.6% (p < 0.001) compared to estimates if the tax were not in place, but rose 6.9% (p < 0.001) for non-Berkeley stores. Sales of untaxed beverages in Berkeley stores rose by 3.5% versus 0.5% (both p < 0.001) for non-Berkeley stores. Overall beverage sales also rose across stores. In Berkeley, sales of water rose by 15.6% (p < 0.001) (exceeding the decline in SSB sales in ounces); untaxed fruit, vegetable, and tea drinks, by 4.37% (p < 0.001); and plain milk, by 0.63% (p = 0.01). Scanner data mean store revenue/consumer spending (dollars per transaction) fell 18¢ less in Berkeley (-$0.36, p < 0.001) than in comparison stores (-$0.54, p < 0.001). Baseline and post-tax Berkeley SSB sales and usual dietary intake were markedly low compared to national levels (at baseline, National Health and Nutrition Examination Survey SSB intake nationally was 131 kcal/d and in Berkeley was 45 kcal/d). Reductions in self-reported mean daily SSB intake in grams (-19.8%, p = 0.49) and in mean per capita SSB caloric intake (-13.3%, p = 0.56) from baseline to post-tax were not statistically significant. Limitations of the study include inability to establish causal links due to observational design, and the absence of health outcomes. Analysis of consumption was limited by the small effect size in relation to high standard error and Berkeley's low baseline consumption. CONCLUSIONS: One year following implementation of the nation's first large SSB tax, prices of SSBs increased in many, but not all, settings, SSB sales declined, and sales of untaxed beverages (especially water) and overall study beverages rose in Berkeley; overall consumer spending per transaction in the stores studied did not rise. Price increases for SSBs in two distinct data sources, their timing, and the patterns of change in taxed and untaxed beverage sales suggest that the observed changes may be attributable to the tax. Post-tax self-reported SSB intake did not change significantly compared to baseline. Significant declines in SSB sales, even in this relatively affluent community, accompanied by revenue used for prevention suggest promise for this policy. Evaluation of taxation in jurisdictions with more typical SSB consumption, with controls, is needed to assess broader dietary and potential health impacts.

Associations of Cooking With Dietary Intake and Obesity Among Supplemental Nutrition Assistance Program Participants.

INTRODUCTION: Participation in the Supplemental Nutrition Assistance Program (SNAP) may help ease economic and time constraints of cooking, helping low-income households prepare healthier meals. Therefore, frequent cooking may be more strongly associated with improved dietary outcomes among SNAP recipients than among income-eligible non-recipients. Alternately, increased frequency of home-cooked meals among SNAP participants may be beneficial simply by replacing fast food intake. This study quantified the association between home cooking and fast food with diet intake and weight status among SNAP recipients. METHODS: In 2016, data from low-income adults aged 19-65 years from the National Health and Nutrition Survey 2007-2010 (N=2,578) were used to examine associations of daily home-cooked dinner and weekly fast food intake with diet intake, including calories from solid fat and added sugar and key food groups (sugar-sweetened beverages, fruit, and vegetables), and prevalence of overweight/obesity. Differences in these associations for SNAP recipients versus income-eligible non-recipients were analyzed, as well as whether associations were attenuated when controlling for fast food intake. RESULTS: Daily home-cooked dinners were associated with small improvements in dietary intake for SNAP recipients but not for non-recipients, including lower sugar-sweetened beverage intake (-54 kcal/day), and reduced prevalence of overweight/obesity (-6%) (p<0.05). However, these associations were attenuated after controlling for fast food intake. Consuming at least one fast food meal/week was associated with 9.3% and 11.6% higher overweight/obesity prevalence among SNAP recipients and non-recipients, respectively (p<0.05). CONCLUSIONS: Strategies to improve dietary intake among SNAP recipients should consider both increasing home cooking and reducing fast food intake.

Trends in racial/ethnic and income disparities in foods and beverages consumed and purchased from stores among US households with children, 2000-2013.

BACKGROUND: It is unclear whether racial/ethnic and income differences in foods and beverages obtained from stores contribute to disparities in caloric intake over time. OBJECTIVE: We sought to determine whether there are disparities in calories obtained from store-bought consumer packaged goods (CPGs), whether brands (name brands compared with private labels) matter, and if disparities have changed over time. DESIGN: We used NHANES individual dietary intake data among households with children along with the Nielsen Homescan data on CPG purchases among households with children. With NHANES, we compared survey-weighted energy intakes for 2003-2006 and 2009-2012 from store and nonstore sources by race/ethnicity [non-Hispanic whites (NHWs), non-Hispanic blacks (NHBs), and Hispanic Mexican-Americans) and income [≤185% federal poverty line (FPL), 186-400% FPL, and >400% FPL]. With the Nielsen data, we compared 2000-2013 trends in calories purchased from CPGs (obtained from stores) across brands by race/ethnicity (NHW, NHB, and Hispanic) and income. We conducted random-effect models to derive adjusted trends and differences in calories purchased (708,175 observations from 64,709 unique households) and tested whether trends were heterogeneous by race/ethnicity or income. RESULTS: Store-bought foods and beverages represented the largest component of dietary intake, with greater decreases in energy intakes in nonstore sources for foods and in store sources for beverages. Beverages from stores consistently decreased in all subpopulations. However, in adjusted models, reductions in CPG calories purchased in 2009-2012 were slower for NHB and low-income households than for NHW and high-income households, respectively. The decline in calories from name-brand food purchases was slower among NHB, Hispanic, and lowest-income households. NHW and high-income households had the highest absolute calories purchased in 2000. CONCLUSIONS: Across 2 large data sources, we found decreases in intake and purchases of beverages from stores across racial/ethnic and income groups. However, potentially beneficial reductions in calories purchased were more pronounced in some subgroups over others.

Highly Processed and Ready-to-Eat Packaged Food and Beverage Purchases Differ by Race/Ethnicity among US Households.

BACKGROUND: Racial/ethnic disparities in dietary quality persist among Americans, but it is unclear whether highly processed foods or convenience foods contribute to these inequalities. OBJECTIVE: We examined the independent associations of race/ethnicity with highly processed and ready-to-eat (RTE) food purchases among US households. We determined whether controlling for between-group differences in purchases of these products attenuated associations between race/ethnicity and the nutritional quality of purchases. METHODS: The 2000-2012 Homescan Panel followed US households (n = 157,142) that scanned their consumer packaged goods (CPG) food and beverage purchases. By using repeated-measures regression models adjusted for sociodemographic characteristics, we examined time-varying associations of race/ethnicity with processed and convenience food purchases, expressed as a percentage of calories purchased. We estimated associations between race/ethnicity and saturated fat, sugar, or energy density of total purchases with and without adjustment for processed and convenience food purchases. RESULTS: Compared with white households, black households had significantly lower purchases of highly processed foods (-4.1% kcal) and RTE convenience foods (-4.9% kcal) and had higher purchases of basic processed foods, particularly cooking oils and sugar (+5.4% kcal), foods requiring cooking/preparation (+4.5% kcal), and highly processed beverages (+7.1% kcal). Hispanics also had lower purchases of highly processed and RTE foods than whites. Blacks had CPG purchases with significantly higher median sugar (+2.2% kcal) and energy density (+72 kcal/1000 g), whereas Hispanics had purchases with lower saturated fat (-0.6% kcal) and energy density (-25 kcal/1000 g) than whites. Racial/ethnic differences remained significant after adjustment for processed and convenience food purchases. CONCLUSIONS: In our study, compared with white households, both black and Hispanic households had lower purchases of highly processed and RTE foods, yet had total CPG purchases with differing nutritional quality. Our findings suggest that highly processed convenience foods are associated with, but cannot fully explain, racial/ethnic disparities in the nutritional quality of CPG purchases.