Work-Related Factors Associated With Health and Well-Being of Early Care and Education Workers.

OBJECTIVE: We assessed and examined relationships between the health and working conditions of early care and education workers. METHODS: We surveyed early care and education workers ( n = 2242) about their socioeconomic characteristics; work organization; psychosocial, physical, and ergonomic exposures; coping behaviors; and health. RESULTS: Nearly half of respondents reported chronic health conditions. Most worked full time, half earned less than $30,000 a year, and many reported unpaid hours or inability to take breaks. One-quarter reported economic strain. Numerous exposures were prevalent. Workers' general health was poorer than normed averages, although their physical functioning was slightly better. Sixteen percent of workers reported work-related injuries, and 43% reported depressive symptoms. Factors associated with health included socioeconomic characteristics, having a chronic condition, job type, access to benefits, eight psychosocial stressors, four physical exposures, sleep, and alcohol consumption. CONCLUSIONS: Findings support the need for attention to this workforce's health.

Insights from Washington State's COVID-19 Response: A Mixed-Methods Evaluation of WIC Remote Services and Expanded Food Options Using the RE-AIM Framework.

BACKGROUND: In response to the COVID-19 pandemic, Washington State's Supplemental Nutrition Program for Women, Infants, and Children (WA WIC) adopted federal waivers to transition to remote service delivery for certification and education appointments. WA WIC also expanded the approved food list without using federal waivers, adding more than 600 new items to offset challenges participants experienced accessing foods in stores. OBJECTIVE: This study aimed to assess the reach and effectiveness of the programmatic changes instituted by WA WIC during the COVID-19 pandemic; the processes, facilitators, and challenges involved in their implementation; and considerations for their continuation in the future. DESIGN: A mixed-methods design, guided by the RE-AIM framework, including virtual, semi-structured focus groups and interviews with WA WIC staff and participants, and quantitative programmatic data from WIC agencies across the state. PARTICIPANTS/SETTING: This study included data from 52 state and local WIC staff and 40 WIC participants across the state of Washington and from various WA WIC programmatic records (2017-2021). The research team collected data and conducted analyses between January 2021 and August 2021. ANALYSIS: An inductive thematic analysis approach with Dedoose software was used to code qualitative data, generate themes, and interpret qualitative data. Descriptive statistics were calculated for quantitative programmatic data, including total participant count, percent increase and decrease in participation, percent of food benefits redeemed monthly, and appointment completion rates. RESULTS: All WA WIC participants (n = 125,279 in May 2020) experienced the programmatic changes. Participation increased by 2% from March to December 2020 after WA WIC adopted programmatic changes in response to the COVID-19 pandemic. Certification and nutrition education completion rates increased by 5% and 18% in a comparison of June 2019 with June 2020. Food benefit redemption also increased immediately after the food list was expanded in April 2020. Staff and participants were highly satisfied with remote service delivery, predominantly via the phone, and participants appreciated the expanded food options. Staff and participants want a remote service option to continue and suggested various changes to improve service quality. CONCLUSIONS: Participation in WIC and appointment completion rates increased after WA WIC implemented service changes in response to the COVID-19 pandemic. Staff and participants were highly satisfied with remote services, and both desire a continued hybrid model of remote and in-person WIC appointments. Some of the suggested changes to WIC, especially the continuation of remote services, would require federal policy change, and others could be implemented under existing federal regulations.

Association of State Minimum Wage Rates and Health in Working-Age Adults Using the National Health Interview Survey.

States adopt minimum wages to improve workers' economic circumstances and well-being. Many studies, but not all, find evidence of health benefits from higher minimum wages. This study used a rigorous "triple difference" strategy to identify the associations between state minimum wages and adult obesity, body mass index (weight (kg)/height (m)2), hypertension, diabetes, fair or poor health, and serious psychological distress. National Health Interview Survey data (United States, 2008-2015) on adults aged 25-64 years (n = 131,430) were linked to state policies to estimate the prevalence odds ratio or mean difference in these outcomes associated with a $1 increase in current and 2-year lagged minimum wage among less-educated adults overall and by sex, race/ethnicity, and age. In contrast to prior studies, there was no association between current minimum wage and health; however, 2-year lagged minimum wage was positively associated with the likelihood of obesity (prevalence odds ratio = 1.08, 95% confidence interval: 1.00, 1.16) and with elevated body mass index (mean difference = 0.27, 95% confidence interval: 0.04, 0.49). In subgroup models, current and 2-year lagged minimum wage were associated with a higher likelihood of obesity among male and non-White or Hispanic adults. The associations with hypertension also varied by sex and the timing of the exposure.

Low-income workers' perceptions of wages, food acquisition, and well-being.

Although studies have demonstrated an association between increased economic resources and improvements in food security and health, there is a paucity of qualitative research regarding the relationships between household resources, food security, and health. Policy changes related to increasing low wages are potential opportunities to understand changes to material resources. The aims of this analysis were to describe how low-wage workers perceive household resources in relation to food acquisition and to explore how workers in low-wage jobs connect food and diet to perceptions of health and well-being. We analyzed 190 transcripts from 55 workers in low-wage jobs who were living in households with children who were part of the Seattle Minimum Wage Study (up to three in-depth qualitative interviews and one phone survey per participant, conducted between 2015 and 2017). We coded and analyzed interviews using Campbell's food acquisition framework and best practices for qualitative research. Participants relied on a combination of wages, government assistance, and private assistance from community or family resources to maintain an adequate food supply. Strategies tended to focus more on maintaining food quality than food quantity. Restricted resources also limited food-related leisure activities, which many participants considered important to quality of life. Although many low-wage workers would like to use additional income to purchase higher quality foods or increase food-related leisure activities, they often perceive trade-offs that limit income-based adjustments to food-spending patterns. Future studies should be specifically designed to examine food choices in response to changes in income.

The Culture Of Health In Early Care And Education: Workers' Wages, Health, And Job Characteristics.

Little is known about the health of the 2.2 million early care and education (ECE) workers responsible for the care, well-being, and success of the approximately ten million children younger than age six enrolled in ECE, or the extent to which ECE environments and employers play a role in workers' health. The purpose of this analysis was to describe the health of an ECE worker sample by wage and by job and center characteristics and to begin to explore the relationships between these factors and workers' health. Our data indicate that ECE workers earn low wages and experience poor mental well-being and high rates of food insecurity. Lower-wage workers worked at centers with more children enrolled in subsidy programs and were more likely to work at centers that did not offer health insurance, paid sick leave, or parental or family leave. Policies and programs that raised workers' wages or mandated the provision of meals to both children and workers could better support teacher health and the quality of ECE for children. Our results suggest that the culture of health in ECE settings and equity-related outcomes could be improved by helping centers provide support and flexibility to teachers (for example, offsetting workers' benefit costs or reducing teacher-to-child ratios to reduce stress) who are managing their own health in the context of demanding work.

The Impact of a City-Level Minimum Wage Policy on Supermarket Food Prices by Food Quality Metrics: A Two-Year Follow Up Study.

Objective: To examine the effects of increasing minimum wage on supermarket food prices in Seattle over 2 years of policy implementation, overall and differentially across food quality metrics. Methods: Prices for the UW Center for Public Health Nutrition (CPHN) market basket of 106 foods were obtained for 6 large supermarket chain stores in Seattle ("intervention") and for the same chain stores in King County ("control") at four time points: 1-month pre- (March 2015), 1-month post- (May 2015), 1-year post- (May 2016), and 2-years post-policy implementation (May 2017). Prices for all food items were standardized and converted to price per 100 kcal. Food quality metrics were used to explore potential differential price increases by (a) food groups, as defined by US Department of Agriculture; (b) NOVA food processing categories, and (c) nutrient density quartiles, based on the Nutrient Rich Foods Index 9.3. Separate difference-in-differences linear regression models with robust standard errors, examined price differences per 100 kcal overall, clustered by store chain, and stratified by each food quality metric. Results: There were no overall market basket price changes attributable to Seattle's minimum wage policy. Moreover, no minimum wage effect was detected by USDA food group, food processing, or nutrient density categories. Conclusions: Local area supermarket food prices were not impacted by Seattle's minimum wage policy 2 years into policy implementation and after the first increase to $15/h overall or by sub-classification. Low-income workers may be able to afford higher quality diets if wages increase yet supermarket prices stay the same.

The development and adoption of the first statewide comprehensive policy on food service guidelines (Washington State Executive Order 13-06) for improving the health and productivity of state employees and institutionalized populations.

National health authorities uniformly express an urgent need for large-scale policies that incorporate population-based strategies to improve diet-related population health outcomes. On October 30, 2013, Washington State passed the first statewide comprehensive policy on food service guidelines (i.e., Executive Order 13-06: "Improving the Health and Productivity of State Employees and Access to Healthy Foods in State Facilities") aimed at improving diet-related health outcomes and estimated to impact 73,000 individuals. The aim of this study was to examine the facilitators and constraints to the development and passage of Executive Order 13-06 to inform future food service guideline development and passage in other agencies, states, and municipalities. We conducted 17 semi-structured telephone interviews with key stakeholders involved in the development and/or passage of Executive Order 13-06. Recorded interviews were transcribed verbatim, coded, and analyzed using the Advocacy Coalition Framework. Interviewees were from local and state public health departments, Washington State government, public agencies, academia, advocacy coalitions, and national organizations. Two main coalitions (proponents and opponents) diverged in their support of the passage of Executive Order 13-06. Proponents supported it given its potential to increase access to healthy food and beverage options. Opponents felt that it was not feasible to meet food service guidelines without affecting sales and profit. Study findings highlight the importance of early engagement with stakeholders most impacted by proposed food service guidelines, using existing guidelines rather than developing new guidelines, and creating a workgroup to discuss the feasibility of food service guideline implementation and compliance.

Low-Calorie Sweetened Beverages and Cardiometabolic Health: A Science Advisory From the American Heart Association.

In the United States, 32% of beverages consumed by adults and 19% of beverages consumed by children in 2007 to 2010 contained low-calorie sweeteners (LCSs). Among all foods and beverages containing LCSs, beverages represent the largest proportion of LCS consumption worldwide. The term LCS includes the 6 high-intensity sweeteners currently approved by the US Food and Drug Administration and 2 additional high-intensity sweeteners for which the US Food and Drug Administration has issued no objection letters. Because of a lack of data on specific LCSs, this advisory does not distinguish among these LCSs. Furthermore, the advisory does not address foods sweetened with LCSs. This advisory reviews evidence from observational studies and clinical trials assessing the cardiometabolic outcomes of LCS beverages. It summarizes the positions of government agencies and other health organizations on LCS beverages and identifies research needs on the effects of LCS beverages on energy balance and cardiometabolic health. The use of LCS beverages may be an effective strategy to help control energy intake and promote weight loss. Nonetheless, there is a dearth of evidence on the potential adverse effects of LCS beverages relative to potential benefits. On the basis of the available evidence, the writing group concluded that, at this time, it is prudent to advise against prolonged consumption of LCS beverages by children. (Although water is the optimal beverage choice, children with diabetes mellitus who consume a balanced diet and closely monitor their blood glucose may be able to prevent excessive glucose excursions by substituting LCS beverages for sugar-sweetened beverages [SSBs] when needed.) For adults who are habitually high consumers of SSBs, the writing group concluded that LCS beverages may be a useful replacement strategy to reduce intake of SSBs. This approach may be particularly helpful for persons who are habituated to a sweet-tasting beverage and for whom water, at least initially, is an undesirable option. Encouragingly, self-reported consumption of both SSBs and LCS beverages has been declining in the United States, suggesting that it is feasible to reduce SSB intake without necessarily substituting LCS beverages for SSBs. Thus, the use of other alternatives to SSBs, with a focus on water (plain, carbonated, and unsweetened flavored), should be encouraged.

Seattle's minimum wage ordinance did not affect supermarket food prices by food processing category.

OBJECTIVE: To examine the impacts of Seattle's minimum wage ordinance on food prices by food processing category. DESIGN: Supermarket food prices were collected for 106 items using a University of Washington Center for Public Health Nutrition market basket at affected and unaffected supermarket chain stores at three times: March 2015 (1-month pre-policy enactment), May 2015 (1-month post-policy enactment) and May 2016 (1-year post-policy enactment). Food items were categorized into four food processing groups, from minimally to ultra-processed. Data were analysed across time using a multilevel, linear difference-in-differences model at the store and price level stratified by level of food processing. SETTING: Six large supermarket chain stores located in Seattle ('intervention') affected by the policy and six same-chain but unaffected stores in King County ('control'), Washington, USA. SUBJECTS: One hundred and six food and beverage items. RESULTS: The largest change in average price by food item was +$US 0·53 for 'processed foods' in King County between 1-month post-policy and 1-year post-policy enactment (P < 0·01). The smallest change was $US 0·00 for 'unprocessed or minimally processed foods' in Seattle between 1-month post-policy and 1-year post-policy enactment (P = 0·94). No significant changes in averaged chain prices were observed across food processing level strata in Seattle v. King County stores at 1-month or 1-year post-policy enactment. CONCLUSIONS: Supermarket food prices do not appear to be differentially impacted by Seattle's minimum wage ordinance by level of the food's processing. These results suggest that the early implementation of a city-level minimum wage policy does not alter supermarket food prices by level of food processing.

The Impact of a City-Level Minimum-Wage Policy on Supermarket Food Prices in Seattle-King County.

Background: Many states and localities throughout the U.S. have adopted higher minimum wages. Higher labor costs among low-wage food system workers could result in higher food prices. Methods: Using a market basket of 106 foods, food prices were collected at affected chain supermarket stores in Seattle and same-chain unaffected stores in King County (n = 12 total, six per location). Prices were collected at 1 month pre- (March 2015) and 1-month post-policy enactment (May 2015), then again 1-year post-policy enactment (May 2016). Unpaired t-tests were used to detect price differences by location at fixed time while paired t-tests were used to detect price difference across time with fixed store chain. A multi-level, linear differences-in-differences model, was used to detect the changes in the average market basket item food prices over time across regions, overall and by food group. Results: There were no significant differences in overall market basket or item-level costs at one-month (-$0.01, SE = 0.05, p = 0.884) or one-year post-policy enactment (-$0.02, SE = 0.08, p = 0.772). No significant increases were observed by food group. Conclusions: There is no evidence of change in supermarket food prices by market basket or increase in prices by food group in response to the implementation of Seattle's minimum wage ordinance.

Creating Environments to Support Breastfeeding: The Challenges and Facilitators of Policy Development in Hospitals, Clinics, Early Care and Education, and Worksites.

Objectives Supportive organizational breastfeeding policies can establish enabling environments for breastfeeding. In this qualitative study we identify facilitators and barriers to the development, adoption, and implementation of supportive breastfeeding policies and practices in four influential sectors for breastfeeding women: hospitals, clinics, early care and education settings, and worksites. Methods We interviewed 125 individuals representing 110 organizations in Washington State about their breastfeeding policy development and implementation process between August 2014 and February 2015. Greenhalgh's diffusion of innovations framework guided the interviews and qualitative analysis. Results Breastfeeding policy facilitators across the sectors include national and state laws and regulations, performance tracking requirements, and an increasingly supportive sociopolitical climate; barriers include limited resources and appreciation about the need for breastfeeding policies, and certain organizational characteristics such as workforce age. Despite broad support for breastfeeding, organizations differed on perceptions about the usefulness of written breastfeeding policies. Personal breastfeeding experiences of policy makers and staff affect organizational breastfeeding policies and practices. Conclusions for Practice Supportive organizational systems and environments are built through effective policy development processes; public health can support breastfeeding policy development and assure a coordinated continuum of care by leveraging federal health care policy requirements, building networks to support training and collaboration, and disseminating strategies that reflect the personal nature of breastfeeding.

Factors Influencing the Food Purchases of Early Care and Education Providers.

BACKGROUND: With the majority of US children enrolled in some form of early care and education, the settings for early care and education represent a valuable opportunity to positively impact young children's diets and their interactions with food. Little evidence exists on how early care and education providers make food purchasing and service decisions for this population of young children. OBJECTIVE: Our aim was to explore the factors that influence early care and education providers' food purchasing and service decisions. DESIGN: A qualitative design consisting of individual, in-person, and semi-structured interviews with providers and on-site observations was used. PARTICIPANTS/SETTING: Sixteen early care and education providers-selected across a variety of characteristics that might affect food selection (eg, size of site, participation in reimbursement programs, presence of staff assigned to foodservice) using maximum variation purposive sampling-based in the Puget Sound region, Washington, were interviewed from June to September 2014. MAIN OUTCOME MEASURE: Provider perspectives on food purchasing and service decisions. STATISTICAL ANALYSES PERFORMED: Inductive analysis of transcribed interviews using TAMS Analyzer software (GPL version 2, 2012) to identify themes. RESULTS: Ten main influencers emerged from the data. These were grouped into four categories based on an ecological framework: macro-level environments (ie, regulations; suppliers and vendors, including stores); physical environment and settings (ie, organizational mission, budget, and structure; the facility itself); social environments (ie, professional networks; peers; the site-specific parent and child community); and individual factors at both a provider and child-level (ie, providers' skills, behaviors, motivations, attitudes, knowledge, and values; child food preferences; and, child allergies). A model was then developed to identify potential pathways of intervention and underscore the need for a comprehensive approach to improve early care and education nutrition. CONCLUSIONS: This study suggests that a more system-based understanding and approach-one that accounts for an array of influencers and their interactions-is necessary to take advantage of opportunities and address barriers to improving early care and education-based nutrition.

Examining the Washington State Breastfeeding-Friendly Policy Development Process Using the Advocacy Coalition Framework.

Objectives Breastfeeding promotion is increasingly recognized as a key public health strategy. Policies can promote breastfeeding by creating supportive environments and addressing challenges. In 2014, the Washington State legislature considered bills to create a voluntary recognition system for breastfeeding-friendly hospitals, clinics, worksites and childcare settings. These Breastfeeding-Friendly Washington (BFW) bills (SB 6298 and HB 2329) did not pass. Methods The purpose of this case study was to analyze the policy development process for the BFW bills using the Advocacy Coalition Framework. Data were collected through semi-structured interviews with key stakeholders in the state policy process, and document review. We used thematic analysis to identify deductive and inductive themes. Results Though all policy actors indicated general support for breastfeeding, two main coalitions (proponents and opponents) diverged in their support of the BFW bills as policy solutions to address barriers to breastfeeding. We conducted 29 interviews with mainly bill proponents, and 54 documents confirmed data about bill opponents. Proponents supported the bills given increasingly strong evidence of breastfeeding's benefits and that public policy could address environmental challenges to breastfeeding. Opponents saw the bills as government overreach into the private matter of choosing to breastfeed. Opposition to the bills came late in the session, and proponents felt opponents' messaging misconstrued the intent of the legislation. Conclusions for Practice Key learnings for developing breastfeeding-friendly state policies include analyzing differences between proponents' and opponents' beliefs, framing advocacy messages beyond individuals and health, expanding the coalition outside of traditional health entities, and anticipating the opposition.

Effect of the Healthy Hunger-Free Kids Act on the Nutritional Quality of Meals Selected by Students and School Lunch Participation Rates.

IMPORTANCE: Effective policies have potential to improve diet and reduce obesity. School food policies reach most children in the United States. OBJECTIVE: To assess the nutritional quality of foods chosen by students and meal participation rates before and after the implementation of new school meal standards authorized through the Healthy Hunger-Free Kids Act. DESIGN, SETTING, AND PARTICIPANTS: This descriptive, longitudinal study examined changes in the nutritional quality of 1,741,630 school meals at 3 middle schools and 3 high schools in an urban school district in Washington state. Seventy two hundred students are enrolled in the district; 54% are eligible for free and reduced-price meals. Student food selection data were collected daily from January 2011 through January 2014 during the 16 months prior to and the 15 months after implementation of the Healthy Hunger-Free Kids Act. EXPOSURE: The Healthy Hunger-Free Kids Act. MAIN OUTCOMES AND MEASURES: Nutritional quality was assessed by calculating monthly mean adequacy ratio and energy density of the foods selected by students each day. Six nutrients were included in the mean adequacy ratio calculations: calcium, vitamin C, vitamin A, iron, fiber, and protein. Monthly school meal participation was calculated as the mean number of daily meals served divided by student enrollment. Mean monthly values of mean adequacy ratio, energy density, and participation were compared before and after policy implementation. RESULTS: After implementation of the Healthy Hunger-Free Kids Act, change was associated with significant improvement in the nutritional quality of foods chosen by students, as measured by increased mean adequacy ratio from a mean of 58.7 (range, 49.6-63.1) prior to policy implementation to 75.6 (range, 68.7-81.8) after policy implementation and decreased energy density from a mean of 1.65 (range, 1.53-1.82) to 1.44 (range, 1.29-1.61), respectively. There was negligible difference in student meal participation following implementation of the new meal standards with 47% meal participation (range, 40.4%-49.5%) meal participation prior to the implemented policy and 46% participation (range, 39.1%-48.2%) afterward. CONCLUSIONS AND RELEVANCE: Food policy in the form of improved nutrition standards was associated with the selection of foods that are higher in nutrients that are of importance in adolescence and lower in energy density. Implementation of the new meal standards was not associated with a negative effect on student meal participation. In this district, meal standards effectively changed the quality of foods selected by children.

Getting research to the policy table: a qualitative study with public health researchers on engaging with policy makers.

INTRODUCTION: Little attention has been given to how researchers can best provide evidence to policy makers so that it informs policy making. The objectives of this study were to increase understanding about the current state of public health nutrition and obesity researcher practices, beliefs, barriers, and facilitators to communicating and engaging with policy makers, and to identify best practices and suggest improvements. METHODS: Eighteen semistructured interviews were conducted from 2011 to 2013 with public health nutrition and obesity researchers who were highly involved in communicating research to policy makers. Interviews were transcribed verbatim, coded, and analyzed to identify common themes. RESULTS: Study participants described wide variation in practices for communicating and engaging with policy makers and had mixed beliefs about whether and when researchers should engage. Besides a lack of formal policy communication training, barriers noted were promotion and tenure processes and a professional culture that does not value communicating and engaging with policy makers. Study participants cited facilitators to engaging with policy makers as ranging from the individual level (eg, desire to make a difference, relationships with collaborators) to the institutional level (eg, training/mentorship support, institutional recognition). Other facilitators identified were research- and funding-driven. Promising strategies suggested to improve policy engagement were more formal training, better use of intermediaries, and learning how to cultivate relationships with policy makers. CONCLUSION: Study findings provide insights into the challenges that will need to be overcome and the strategies that might be tried to improve communication and engagement between public health researchers and policy makers.

Food marketing to children through toys: response of restaurants to the first U.S. toy ordinance.

BACKGROUND: On August 9, 2010, Santa Clara County CA became the first U.S. jurisdiction to implement an ordinance that prohibits the distribution of toys and other incentives to children in conjunction with meals, foods, or beverages that do not meet minimal nutritional criteria. Restaurants had many different options for complying with this ordinance, such as introducing more healthful menu options, reformulating current menu items, or changing marketing or toy distribution practices. PURPOSE: To assess how ordinance-affected restaurants changed their child menus, marketing, and toy distribution practices relative to non-affected restaurants. METHODS: Children's menu items and child-directed marketing and toy distribution practices were examined before and at two time points after ordinance implementation (from July through November 2010) at ordinance-affected fast-food restaurants compared with demographically matched unaffected same-chain restaurants using the Children's Menu Assessment tool. RESULTS: Affected restaurants showed a 2.8- to 3.4-fold improvement in Children's Menu Assessment scores from pre- to post-ordinance with minimal changes at unaffected restaurants. Response to the ordinance varied by restaurant. Improvements were seen in on-site nutritional guidance; promotion of healthy meals, beverages, and side items; and toy marketing and distribution activities. CONCLUSIONS: The ordinance appears to have positively influenced marketing of healthful menu items and toys as well as toy distribution practices at ordinance-affected restaurants, but did not affect the number of healthful food items offered.

Effects of television viewing reduction on energy intake and expenditure in overweight and obese adults: a randomized controlled trial.

BACKGROUND: The average adult watches almost 5 hours of television (TV) per day, an amount associated with increased risks for obesity. This trial examines the effects of TV reduction on energy intake (EI), energy expenditure (EE), energy balance, body mass index (BMI), (calculated as weight in kilograms divided by height in meters squared), and sleep in overweight and obese adults. METHODS: Randomized controlled trial of 36 adults with a BMI of 25 to 50 who self-reported a minimum of 3 h/d of TV viewing. Participants were enrolled in home-based protocols from January through July 2008. After a 3-week observation phase, participants were stratified by BMI and randomized to an observation-only control group (n = 16) or an intervention group (n = 20) for 3 additional weeks. The intervention consisted of reducing TV viewing by 50% of each participant's objectively measured baseline enforced by an electronic lock-out system. RESULTS: Although not statistically significant, both groups reduced their EI (-125 kcal/d [95% CI, -303 to 52] vs -38 [95% CI, -265 to 190]) (P = .52) for intervention and control group participants, respectively, where CI indicates confidence interval. The intervention group significantly increased EE (119 kcal/d [95% CI, 23 to 215]) compared with controls (-95 kcal/d [95% CI, -254 to 65]) (P = .02). Energy balance was negative in the intervention group between phases (-244 kcal/d [95% CI, -459 to -30]) but positive in controls (57 kcal/d [95% CI, -216 to 330]) (P = .07). The intervention group showed a greater reduction in BMI (-0.25 [95% CI, -0.45 to -0.05] vs -0.06 [95% CI, -0.43 to 0.31] in controls) (P = .33). There was no change in sleep. CONCLUSION: Reducing TV viewing in our sample produced a statistically significant increase in EE but no apparent change in EI after 3 weeks of intervention. Trial Registration clinicaltrials.gov Identifier: NCT00622050.