Did a workplace sugar-sweetened beverage sales ban reduce anxiety-related sugar-sweetened beverage consumption during the COVID-19 pandemic?

OBJECTIVE: Workplace sugar-sweetened beverage (SSB) sales bans can reduce SSB consumption. Because stress and anxiety can promote sugar consumption, we examined whether anxiety among hospital employees during the COVID-19 pandemic was associated with changes in SSB consumption and explored whether this relationship varied by exposure to a workplace SSB sales ban. DESIGN: In a prospective, controlled trial of workplace SSB sales bans, we examined self-reported anxiety (generalised anxiety disorder-7) and self-reported SSB consumption (fluid ounces/d) before (July 2019) and during (May 2020) the COVID-19 pandemic. SETTING: Hospital sites in two conditions (four with SSB sales bans and three without sales bans) in Northern California. PARTICIPANTS: We sampled 580 participants (hospital employees) from a larger trial of sales bans; all were regular consumers of SSB (minimum 3/week at main trial enrollment). This subsample was chosen based on having appropriately timed data for our study questions. RESULTS: Across conditions, participants reduced SSB consumption over the study period. However, participants with higher pandemic-era anxiety scores experienced smaller reductions in SSB consumption after 9 months compared with those with lower anxiety scores (ß = 0·65, P < 0·05). When the sample was disaggregated by sales ban condition, this relationship held for participants in the control group (access to SSB at work, ß = 0·82, P < 0·05), but not for those exposed to an SSB sales ban (ß = 0·42, P = 0·25). CONCLUSIONS: SSB sales bans likely reduce SSB consumption through multiple pathways; buffering stress-related consumption may be one mechanism.

Why we struggle to make progress in obesity prevention and how we might overcome policy inertia: Lessons from the complexity and political sciences.

Despite evidence for the effectiveness of policies that target obesogenic environments, their adoption remains deficient. Using methods and concepts from complexity and political science (Stock-and-Flow analysis and Punctuated Equilibrium Theory) and a qualitative literature review, we developed system maps to identify feedback loops that hinder policymaking on mitigating obesogenic environments and feedback loops that could trigger and sustain policy change. We found numerous self-reinforcing feedback loops that buttress the assumption that obesity is an individual problem, strengthening the biomedical and commercial weight-loss sectors' claim to "ownership" over solutions. That is, improvements in therapies for individuals with obesity reinforces policymakers' reluctance to target obesogenic environments. Random events that focus attention on obesity (e.g., celebrities dismissing soda) could disrupt this cycle, when actors from outside the medical and weight-loss sector (e.g., anti-weight stigma activists) successfully reframe obesity as a societal problem, which requires robust and politically relevant engagement with affected communities prior to such events taking place. Sustained prioritization of policies targeting obesogenic environments requires shared problem ownership of affected communities and nonhealth government sectors, by emphasizing cobenefits of policies that target obesogenic environments (e.g., ultraprocessed food taxation for raising revenue) and solutions that are meaningful for affected communities.

Using an Online Panel to Crosswalk Alternative Measures of Alcohol Use As Fielded in Two National Samples.

Introduction: Accurate estimation of the health effects of drinking is hampered by inconsistent phrasing of questions about alcohol use in commonly-used health surveys (e.g., HRS, NYLS79), and measurement error in brief self-reports of drinking. We fielded an online survey to a diverse pool of respondents, assessing two versions of alcohol use questions. We used the measurement survey responses to evaluate correspondence across question versions and create a crosswalk between versions of alcohol questions from two different nationally representative studies of middle-aged adults. The measurement model can also be used to incorporate measurement error correction. Methods: Respondents to two measurement survey platforms (Centiment and Qualtrics) were asked drinking frequency and quantity questions as phrased in the Health and Retirement Study (HRS: average days per week drank in the last 3 months; quantity consumed on days drank in the last 3 months) and differently phrased questions from the National Longitudinal Survey of Youth 1979 (NLSY79: days drank in last 30 days, average quantity consumed on days drank). The order in which respondents encountered different versions of the questions was randomized. From these questions, we derived measures of average weekly alcohol consumption. In the online panel data, we regressed responses to the HRS question on responses to the NLSY question and vice versa to create imputation models. HRS (n=14,639) and NLSY79 (n=7,069) participants aged 50-59 self-rated their overall health (range 0-4, 0=excellent and 4=poor). NLSY79 or HRS participants' responses to the alcohol question from the other survey were multiply imputed (k=30) using the measurement model from the measurement survey participant data (k=30). We regressed self-rated health on each alcohol measure and estimated covariate-adjusted coefficients from observed and imputed versions of the questions. Results: The measurement survey (n=2,070) included respondents aged 50+; 64.8% female; 21.4% Hispanic, 23.95% Black, 27.1% White, and 27.6% another ("Other") self-reported racial/ethnic identity. Associations of observed alcohol question responses with self-reported health were slightly smaller than associations of imputed responses for frequency of alcohol use and consumption on days when alcohol was used. For example, using the HRS version of the frequency of alcohol use (days per week), the estimate for the observed question in HRS respondents was ꞵ =-0.045 [-0.055,-0.036]; and the estimate for the imputed version of the HRS question in NLSY79 respondents was ꞵ=-0.051 [-0.065,-0.037]. The estimated effect of average drinks per week was substantially larger for the imputed version of the measure (ꞵ for the observed question in HRS=-0.002 [-0.004,0.001], ꞵ for the imputed version of the HRS measure in NLSY79 respondents=-0.02 [-0.027,-0.012]). Patterns were similar when using the NLSY79 versions of questions as reported in NLSY79 and imputed for HRS respondents. For example, the estimated effect of average drinks per week was substantially larger for the imputed version of the NLSY79 question (ꞵ for the observed question in NLSY79=-0.006 [-0.01,-0.002], ꞵ for the imputed version of the HRS question in NLSY79 respondents=-0.019 [-0.027,-0.01]). Conclusions: Measurement inconsistencies and imperfect reliability are major challenges in estimating effects of alcohol use on health. Collecting additional data using online panels is a feasible and flexible approach to quantifying measurement differences. This approach may enable measurement error corrections, improve meta-analyses, and promote evidence triangulation.

Drink Tap: A Multisector Program to Promote Water Access and Intake in San Francisco Parks.

Taxes on sugar-sweetened beverages (SSBs), or drinks with added sugars, show promise in decreasing purchases and consumption of SSBs. Some have called for coupling such taxes with improvements in access to safe drinking water as a strategy for reducing inequities in SSB intake, yet no studies have examined such an approach. Drink Tap is a San Francisco-based program in which public tap water stations were installed in parks and public spaces (winter 2017) and promotional efforts (fall and winter 2018) encouraged water intake. At the same time, San Francisco and surrounding communities were also implementing SSB taxes. We conducted a quasi-experimental study to examine whether water access and promotion combined with SSB taxes affected beverage intake habits more than SSB taxes alone. We conducted 1-hour observations (N = 960) at 10 intervention parks (Drink Tap plus SSB taxes) and 20 comparison parks (SSB taxes only) in San Francisco Bay Area cities before (July-September 2016) and after (June-August 2019) implementation of Drink Tap. We found significant adjusted percentage increases in drinking water among visitors to intervention parks, compared with comparison parks: water from park water sources (+80%, P < .001) and water from reusable bottles (+40%, P = .02). We found no significant reductions in visitors observed drinking bottled water, juices, or SSBs. The Drink Tap intervention led to increases in water intake from park sources and reusable bottles across parks that surpassed increases achieved through SSB taxes alone. Jurisdictions should consider coupling tap water access and promotion with policies for reducing intake of SSBs.

Effectiveness of a School Drinking Water Promotion and Access Program for Overweight Prevention.

BACKGROUND AND OBJECTIVE: Drinking water promotion and access shows promise for preventing weight gain. This study evaluated the impact of Water First, a school-based water promotion and access intervention on changes in overweight. METHODS: Low-income, ethnically diverse elementary schools in California's Bay Area were cluster-randomized to intervention and control groups. Water First includes classroom lessons, water stations, and schoolwide water promotion over 1 school year. The primary outcome was overweight prevalence (BMI-for-age-and-sex ≥85th percentile). Students (n = 1249) in 56 fourth-grade classes in 18 schools (9 intervention, 9 control) from 2016 to 2019 participated in evaluation at baseline, 7, and 15 months. Data collection was interrupted in 8 additional recruited schools because of coronavirus disease 2019. RESULTS: Of 1262 students from 18 schools, 1249 (47.4% girls; mean [SD] age, 9.6 [0.4] years; 63.4% Hispanic) were recruited. From baseline to 7 months, there was no significant difference in changes in overweight prevalence in intervention schools (-0.2%) compared to control schools (-0.4%) (adjusted ratio of odds ratios [ORs]: 0.7 [confidence interval (CI): 0.2-2.9] P = 0.68). From baseline to 15-months, increases in overweight prevalence were significantly greater in control schools (3.7%) compared to intervention schools (0.5%). At 15 months, intervention students had a significantly lower change in overweight prevalence (adjusted ratio of ORs: 0.1 [CI: 0.03-0.7] P = .017) compared to control students. There were no intervention effects for obesity prevalence. CONCLUSIONS: Water First prevented increases in the prevalence of overweight, but not obesity, in elementary school students.

Alignment in local approaches to alcohol and cannabis control policy: A case study of California cities and counties.

BACKGROUND: Public health experts have urged governments around the world to regulate newly legalized cannabis as they do alcohol to effectively and efficiently protect health. However, research evaluating the alignment of alcohol and cannabis policies is sparse. We assessed similarities and differences in local alcohol and cannabis control policies across California, and characterized localities adopting distinct policy approaches. METHODS: Using standard legal epidemiologic techniques, we collected and coded local alcohol and cannabis control policies relevant to public health for 12 California counties and all incorporated cities within them (N=241). We assessed whether localities were equally stringent on alcohol and cannabis policies by comparing overall restrictiveness (summed policy scores) and 9 specific provisions that applied to both substances. We captured distinct local alcohol-cannabis policy approaches using latent class analysis, and examined this classification in relation to local demographic, socioeconomic, political, and retail market characteristics. RESULTS: All 241 localities permitted alcohol sales, while 71% banned cannabis sales. Among those that did not ban cannabis sales, more stringent alcohol policy scores were associated with more stringent cannabis policy scores (linear regression coefficient: 0.16 [95% CI: 0.07, 0.25]). Local governments rarely adopted the same provisions for alcohol and cannabis (e.g., limits on hours of sale, advertising restrictions), and only two regulated the co-location of cannabis and alcohol outlets. Localities that were restrictive on alcohol yet permissive on cannabis (12%) were more urban, politically progressive, and had more low-income and racial/ethnic minority residents. Localities that were more permissive on alcohol and restrictive on cannabis (51%) were more socioeconomically advantaged. CONCLUSION: We found few similarities between local alcohol and cannabis control policies. California's experience suggests that, as governments around the world legalize cannabis, lessons learned from regulating alcohol are not routinely applied to cannabis, particularly in communities distinguished by high social and economic advantages.

Controlled trial of a workplace sales ban on sugar-sweetened beverages.

OBJECTIVE: To examine the effectiveness of a workplace sugar-sweetened beverage (SSB) sales ban on reducing SSB consumption in employees, including those with cardiometabolic disease risk factors. DESIGN: A controlled trial of ethnically diverse, full-time employees who consumed SSB heavily (sales ban n 315; control n 342). Outcomes included standardised measures of change in SSB consumption in the workplace (primary) and at home between baseline and 6 months post-sales ban. SETTING: Sutter Health, a large non-profit healthcare delivery system in Northern California. PARTICIPANTS: Full-time employees at Sutter Health screened for heavy SSB consumption. RESULTS: Participants were 66·1 % non-White. On average, participants consumed 34·7 ounces (about 1 litre) of SSB per d, and the majority had an elevated baseline BMI (mean = 29·5). In adjusted regression analyses, those exposed to a workplace SSB sales ban for 6 months consumed 2·7 (95 % CI -4·9, -0·5) fewer ounces of SSB per d while at work, and 4·3 (95 % CI -8·4, -0·2) fewer total ounces per d, compared to controls. Sales ban participants with an elevated BMI or waist circumference had greater post-intervention reductions in workplace SSB consumption. CONCLUSIONS: Workplace sales bans can reduce SSB consumption in ethnically diverse employee populations, including those at higher risk for cardiometabolic disease.

Pathways from climate change to emotional wellbeing: A qualitative study of Kenyan smallholder farmers living with HIV.

Climate change is associated with adverse mental and emotional health outcomes. Social and economic factors are well-known drivers of mental health, yet comparatively few studies examine the social and economic pathways through which climate change affects mental health. There is additionally a lack of research on climate change and mental health in sub-Saharan Africa. This qualitative study aimed to identify potential social and economic pathways through which climate change impacts mental and emotional wellbeing, focusing on a vulnerable population of Kenyan smallholder farmers living with HIV. We conducted in-depth, semi-structured interviews with forty participants to explore their experience of climate change. We used a thematic analytical approach. We find that among our study population of Kenyan smallholder farmers living with HIV, climate change is significantly affecting mental and emotional wellbeing. Respondents universally report some level of climate impact on emotional health including high degrees of stress; fear and concern about the future; and sadness, worry, and anxiety from losing one's home, farm, occupation, or ability to support their family. Climate-related economic insecurity is a main driver of emotional distress. Widespread economic insecurity disrupts systems of communal and family support, which is an additional driver of worsening mental and emotional health. Our study finds that individual adaptive strategies used by farmers in the face of economic and social volatility can deepen economic insecurity and are likely insufficient to protect mental health. Finally, we find that agricultural policies can worsen economic insecurity and other mental health risk factors. Our proposed conceptual model of economic and social pathways relevant for mental health can inform future studies of vulnerable populations and inform health system and policy responses to protect health in a changing climate.

Using Online Crowdsourced Data to Measure the Availability of Cannabis Home Delivery: A Pilot Study.

OBJECTIVE: The growing availability of cannabis products through home delivery services may affect cannabis-related health outcomes. However, research is impeded by a lack of data measuring the scale of home delivery. Prior research demonstrated that crowdsourced websites can be used to validly enumerate brick-and-mortar cannabis outlets. We piloted an extension of this method to explore the feasibility of measuring availability of cannabis home delivery. METHOD: We tested implementation of an automated algorithm designed to webscrape data from Weedmaps, the largest crowdsourced website for cannabis retail, to count the number of legal cannabis retailers offering home delivery to the geographic centroid of each Census block group in California. We compared these estimates to the number of brick-and-mortar outlets within each block group. To assess data quality, we conducted follow-up telephone interviews with a subsample of cannabis delivery retailers. RESULTS: We successfully implemented the webscraping. Of the 23,212 block groups assessed, 22,542 (97%) were served by at least one cannabis delivery business. Only 461 block groups (2%) contained one or more brick-and-mortar outlets. In interviews, availability varied dynamically as a function of staffing levels, order sizes, time of day, competition, and demand. CONCLUSIONS: Webscraping crowdsourced websites could be a viable method for quantifying rapidly evolving availability of cannabis home delivery. However, key practical and conceptual challenges must be overcome to conduct a full-scale validation and develop methodological standards. Acknowledging data limitations, cannabis home delivery appears to be nearly universal in California, whereas availability of brick-and-mortar outlets is limited, underscoring the need for research on home delivery.

Water Security Experiences and Water Intake Among Elementary Students at Low-Income Schools: A Cross-Sectional Study.

OBJECTIVE: To examine students' experiences of water security at school and how experiences relate to intake of water from different sources of water at school. DESIGN/METHODS: In this cross-sectional study, 651 students in grades 3 to 5 in 12 low-income public elementary schools in the San Francisco area completed surveys about their daily intake of water from different sources of water at school, experiences of water security including safety, cleanliness, and taste of water at school, and their demographics. Multivariable linear regressions examined associations between students' water security experiences at school and reported intake from different sources of water at school. RESULTS: Approximately half of students were Latino (56.1%) and had overweight/obesity (50.4%). Most (74.5%) had some negative water security experience at school. Students drank from the school fountain or water bottle filling station a mean of 1.2 times/day (standard deviation [SD] = 1.4), sinks 0.2 times/day (SD = 0.7), tap water dispensers 0.2 times/day (SD = 0.6), and bottled water 0.5 times/day (SD = 1.0). In multivariable linear regression, students with more negative experiences of school water security drank less frequently from fountains (-0.5 times/day, P value < .001), but more frequently from tap water dispensers (0.1 times/day, P value = .040) and sinks (0.1 times/day, P value = .043), compared to students with no negative perceptions. CONCLUSIONS: On average, students had negative school water security experiences, which decreased their consumption of water from tap water sources. However, relationships between negative water security experiences and reported water intake appeared to be mitigated by water source. Schools should consider installing more appealing water sources to promote water intake.

[How the infant food industry processes scientific research]. / Hoe de flesvoedingsindustrie wetenschappelijk onderzoek beïnvloedt.

For the minority of health claims on infant formula marketing materials that cited scientific studies, the vast majority had a high risk of bias and was sponsored by formula manufacturers. This is consistent with prior research revealing a 'cycle of bias' in nutrition research. The food industry biases what is being investigated in the first place. It encourages a focus on exercise and specific nutrients that legitimize health claims for specific products - a situation that is exacerbated by chronic government disinvestment in research on dietary patterns. Industry-funded studies more often report findings favourable to their sponsor, possibly because scientists are mostly influenced by their funders on an unconscious level. Investigating such effects is complicated because funding sources are not always reported clearly. Industry-funded studies should be assessed critically on what was and on what was not investigated. Governments should increase funding for nutritional research for a more level playing field.

Buprenorphine Treatment: Advanced Practice Nurses Add Capacity.

During the COVID-19 pandemic, there was slower growth in the number of new waivers authorizing clinicians to provide buprenorphine treatment for opioid use disorder. However, treatment capacity grew at a stable rate as a result of already authorized clinicians obtaining waivers for larger patient panels. Advanced practice nurses accounted for the largest portion of capacity growth during the pandemic.

Equity in Coverage of Local Cannabis Control Policies in California, 2020‒2021.

Objectives. To assess whether cannabis control policies that may protect public health were adopted evenly across California localities with differing sociodemographic compositions. Methods. From November 2020 to January 2021, we measured cannabis control policies for 241 localities across California and linked them to data on the characteristics of the communities affected by these policies. We evaluated whether disadvantaged communities were more likely to allow cannabis businesses and less likely to be covered by policies designed to protect public health. Results. Localities with all-out bans on cannabis businesses (65% of localities) were disproportionately high-education (55.8% vs 50.5% with any college) and low-poverty (24.3% vs 34.2%), with fewer Black (4.4% vs 6.9%) and Latinx (45.6% vs 50.3%) residents. Among localities that allowed retail cannabis businesses (28%), there were more cannabis control policies in localities with more high-income and Black residents, although the specific policies varied. Conclusions. Cannabis control policies are unequally distributed across California localities. If these policies protect health, inequities may be exacerbated. Public Health Implications. Uniform adoption of recommended cannabis control policies may help limit any inequitable health impacts of cannabis legalization. (Am J Public Health. 2022;112(11):1640-1650. https://doi.org/10.2105/AJPH.2022.307041).

A Spatiotemporal Analysis of the Association of California City and County Cannabis Policies with Cannabis Outlet Densities.

BACKGROUND: Cannabis outlets may affect health and health disparities. Local governments can regulate outlets, but little is known about the effectiveness of local policies in limiting outlet densities and discouraging disproportionate placement of outlets in vulnerable neighborhoods. METHODS: For 241 localities in California, we measured seven policies pertaining to density or location of recreational cannabis outlets. We geocoded outlets using web-scraped data from the online finder Weedmaps between 2018 and 2020. We applied Bayesian spatiotemporal models to evaluate associations of local cannabis policies with Census block group-level outlet counts, accounting for confounders and spatial autocorrelation. We assessed whether associations differed by block group median income or racial-ethnic composition. RESULTS: Seventy-six percent of localities banned recreational cannabis outlets. Bans were associated with fewer outlets, particularly in block groups with higher median income, fewer Hispanic residents, and more White and Asian residents. Outlets were disproportionately located in block groups with lower median income [posterior RR (95% credible interval): 0.76 (0.70, 0.82) per $10,000], more Hispanic residents [1.05 (1.02, 1.09) per 5%], and fewer Black residents [0.91 (0.83, 0.98) per 5%]. For the six policies in jurisdictions permitting outlets, two policies were associated with fewer outlets and two with more; two policy associations were uninformative. For these policies, we observed no consistent heterogeneity in associations by median income or racial-ethnic composition. CONCLUSIONS: Some local cannabis policies in California are associated with lower cannabis outlet densities, but are unlikely to deter disproportionate placement of outlets in racial-ethnic minority and low-income neighborhoods.

Indirect COVID-19 health effects and potential mitigating interventions: Cost-effectiveness framework.

BACKGROUND: The COVID-19 pandemic led to important indirect health and social harms in addition to deaths and morbidity due to SARS-CoV-2 infection. These indirect impacts, such as increased depression and substance abuse, can have persistent effects over the life course. Estimated health and cost outcomes of such conditions and mitigation strategies may guide public health responses. METHODS: We developed a cost-effectiveness framework to evaluate societal costs and quality-adjusted life years (QALYs) lost due to six health-related indirect effects of COVID-19 in California. Short- and long-term outcomes were evaluated for the adult population. We identified one evidence-based mitigation strategy for each condition and estimated QALYs gained, intervention costs, and savings from averted health-related harms. Model data were derived from literature review, public data, and expert opinion. RESULTS: Pandemic-associated increases in prevalence across these six conditions were estimated to lead to over 192,000 QALYs lost and to approach $7 billion in societal costs per million population over the life course of adults. The greatest costs and QALYs lost per million adults were due to adult depression. All mitigation strategies assessed saved both QALYs and costs, with five strategies achieving savings within one year. The greatest net savings over 10 years would be achieved by addressing depression ($242 million) and excessive alcohol use ($107 million). DISCUSSION: The COVID-19 pandemic is leading to significant human suffering and societal costs due to its indirect effects. Policymakers have an opportunity to reduce societal costs and health harms by implementing mitigation strategies.

Food and beverage industry interference in science and policy: efforts to block soda tax implementation in Mexico and prevent international diffusion.

Mexico is the largest soft drink market in the world, with high rates of obesity and type 2 diabetes. Due to strains on the nation's productivity and healthcare spending, Mexican lawmakers implemented one of the world's first public health taxes on sugar-sweetened beverages (SSBs) in 2014. Because Mexico's tax was designed to reduce SSB consumption, it faced strong opposition from transnational food and beverage corporations. We analysed previously secret internal industry documents from major corporations in the University of California San Francisco's Food Industry Documents Archive that shed light on the industry response to the Mexican soda tax. We also reviewed all available studies of the Mexican soda tax's effectiveness, contrasting the results of industry-funded and non-industry-funded studies. We found that food and beverage industry trade organisations and front groups paid scientists to produce research suggesting that the tax failed to achieve health benefits while harming the economy. These results were disseminated before non-industry-funded studies could be finalized in peer review. Mexico still provided a real-world context for the first independent peer-reviewed studies documenting the effectiveness of soda taxation-studies that were ultimately promoted by the global health community. We conclude that the case of the Mexican soda tax shows that industry resistance can persist well after new policies have become law as vested interests seek to roll back legislation, and to stall or prevent policy diffusion. It also underscores the decisive role that conflict-of-interest-free, peer-reviewed research can play in implementing health policy innovations.

Longer Leukocyte Telomere Length Predicts Stronger Response to a Workplace Sugar-Sweetened Beverage Sales Ban: An Exploratory Study.

BACKGROUND: Shorter leukocyte telomere length (LTL) is associated with increased risk of a number of metabolic diseases including insulin resistance and the development of type 2 diabetes mellitus. Shorter LTL is also associated with stress reactivity suggestive of a possible role for LTL to predict response to behavioral interventions. However, few studies have evaluated how interventions, such as weight loss or dietary changes, are associated with LTL changes or whether LTL can predict behavioral responses to interventions. OBJECTIVES: We evaluated metabolic changes in relation to LTL changes and LTL at baseline in a cohort of at-risk adults in response to a 10-mo workplace-based sugar-sweetened beverage (SSB) intervention. METHODS: At baseline, metabolic health and LTL measurements were assessed through standard blood draws on 212 participants. Multivariable linear regression models were used to assess changes in anthropometrics, SSB consumption, and 13 blood-based metabolic risk factors, in relation to LTL at baseline and changes in LTL. RESULTS: Longer LTL at baseline was associated with decreases in SSB consumption over the 6-mo follow-up period (B = -29.67; P = 0.04). Slower LTL attrition rates were associated with decreases in waist circumference (B = -0.27; P  = 0.03), HDL cholesterol (B = -0.20; P  = 0.05), and apoA1 (B = -0.09; P = 0.01). CONCLUSIONS: Longer LTL at baseline predicted a favorable overall response to a behavioral intervention: decreases in SSB consumption. Abdominal adiposity losses paralleled slower declines in LTL suggestive of overall health benefits, but we found differences in the relations between metabolic changes and LTL at baseline compared with LTL attrition rates. Longer LTL may be a proxy marker of a positive behavioral response.This trial was registered at clinicaltrials.gov as NCT02585336.

Missed Opportunities: The Need to Promote Public Knowledge and Awareness of Sugar-Sweetened Beverage Taxes.

Despite a growing body of evidence showing that sugar-sweetened beverage (SSB) taxes nudge consumers away from SSBs, we lack an understanding of people's awareness and perceptions of SSB taxes and whether tax awareness and perceptions differ based on sociodemographic characteristics. We used serial cross-sectional study intercept surveys (n = 2715) in demographically diverse neighborhoods of Berkeley and Oakland in 2015 and 2017, and San Francisco and Richmond in 2017. In the year following successful SSB tax ballot measures, 45% of respondents correctly recalled that an SSB tax had passed in their city. In untaxed cities, 14% of respondents incorrectly thought that a tax had passed. Perceived benefits of SSB taxes to the community and to children's health were moderate and, like correct recall of an SSB tax, were higher among respondents with higher education levels. Awareness of SSB taxes was low overall, and perceptions about taxes' benefits varied by educational attainment, reflecting a missed opportunity to educate citizens about how SSB taxes work and their importance. Public health efforts should invest in campaigns that explain the benefits of SSB taxes and provide information about how tax revenues will be invested, both before and after a tax proposal has passed.

A cluster-randomized controlled trial of an elementary school drinking water access and promotion intervention: Rationale, study design, and protocol.

INTRODUCTION: Promoting water consumption among children in schools is a promising intervention to reduce sugar-sweetened beverage (SSB) intake and achieve healthful weight. To date, no studies in the United States have examined how a school-based water access and promotion intervention affects students' beverage and food intake both in and out of school and weight gain over time. The Water First trial is intended to evaluate these interventions. METHODS: Informed by the PRECEDE-PROCEED model and Social Cognitive Theory, the Water First intervention includes: 1) installation of lead-free water stations in cafeterias, physical activity spaces, and high-traffic common areas in lower-income public elementary schools, 2) provision of cups/reusable water bottles for students, and 3) a 6-month healthy beverage education campaign. A five year-long cluster randomized controlled trial of 26 low-income public elementary schools in the San Francisco Bay Area is examining how Water First impacts students' consumption of water, caloric intake from foods and beverages, and BMI z-score and overweight/obesity prevalence, from baseline to 7 months and 15 months after the start of the study. Intervention impact on outcomes will be examined using a difference-in-differences approach with mixed-effects regression accounting for the clustering of students in schools and classrooms. DISCUSSION: This paper describes the rationale, study design, and protocol for the Water First study. If the intervention is effective, findings will inform best practices for implementing school water policies, as well as the development of more expansive policies and programs to promote and improve access to drinking water in schools.