Fatal Human Rabies Infection With Suspected Host-Mediated Failure of Post-Exposure Prophylaxis Following a Recognized Zoonotic Exposure-Minnesota, 2021.

BACKGROUND: No human rabies post-exposure prophylaxis (PEP) failure has been documented in the United States using modern cell culture-based vaccines. In January 2021, an 84-year-old male died from rabies 6 months after being bitten by a rabid bat despite receiving timely rabies PEP. We investigated the cause of breakthrough infection. METHODS: We reviewed medical records, laboratory results, and autopsy findings and performed whole-genome sequencing (WGS) to compare patient and bat virus sequences. Storage, administration, and integrity of PEP biologics administered to the patient were assessed; samples from leftover rabies immunoglobulin were evaluated for potency. We conducted risk assessments for persons potentially exposed to the bat and for close patient contacts. RESULTS: Rabies virus antibodies present in serum and cerebrospinal fluid were nonneutralizing. Antemortem blood testing revealed that the patient had unrecognized monoclonal gammopathy of unknown significance. Autopsy findings showed rabies meningoencephalitis and metastatic prostatic adenocarcinoma. Rabies virus sequences from the patient and the offending bat were identical by WGS. No deviations were identified in potency, quality control, administration, or storage of administered PEP. Of 332 persons assessed for potential rabies exposure to the case patient, 3 (0.9%) warranted PEP. CONCLUSIONS: This is the first reported failure of rabies PEP in the Western Hemisphere using a cell culture-based vaccine. Host-mediated primary vaccine failure attributed to previously unrecognized impaired immunity is the most likely explanation for this breakthrough infection. Clinicians should consider measuring rabies neutralizing antibody titers after completion of PEP if there is any suspicion for immunocompromise.

First Identified Cases of SARS-CoV-2 Variant P.1 in the United States - Minnesota, January 2021.

Since December 2020, the Minnesota Department of Health (MDH) Public Health Laboratory has been receiving 100 specimens per week (50 from each of two clinical partners) with low cycle threshold (Ct) values for routine surveillance for SARS-CoV-2, the virus that causes COVID-19. On January 25, 2021, MDH identified the SARS-CoV-2 variant P.1 in one specimen through this surveillance system using whole genome sequencing, representing the first identified case of this variant in the United States. The P.1 variant was first identified in travelers from Brazil during routine airport screening in Tokyo, Japan, in early January 2021 (1). This variant has been associated with increased transmissibility (2), and there are concerns that mutations in the spike protein receptor-binding domain might disrupt both vaccine-induced and natural immunity (3,4). As of February 28, 2021, a total of 10 P.1 cases had been identified in the United States, including the two cases described in this report, followed by one case each in Alaska, Florida, Maryland, and Oklahoma (5).

First Identified Cases of SARS-CoV-2 Variant B.1.1.7 in Minnesota - December 2020-January 2021.

On January 9, 2021, the Minnesota Department of Health (MDH) announced the identification of the SARS-CoV-2 variant of concern (VOC) B.1.1.7, also referred to as 20I/501Y.V1 and VOC 202012/01, in specimens from five persons; on January 25, MDH announced the identification of this variant in specimens from three additional persons. The B.1.1.7 variant, which is reported to be more transmissible than certain other SARS-CoV-2 lineages*,† (1), was first reported in the United Kingdom in December 2020 (1). As of February 14, 2021, a total of 1,173 COVID-19 cases of the B.1.1.7 variant had been identified in 39 U.S. states and the District of Columbia (2). Modeling data suggest that B.1.1.7 could become the predominant variant in the United States in March 2021 (3).

COVID-19 Outbreak Associated with a 10-Day Motorcycle Rally in a Neighboring State - Minnesota, August-September 2020.

During August 7-16, 2020, a motorcycle rally was held in western South Dakota that attracted approximately 460,000 persons from across the United States to numerous indoor and outdoor events over a 10-day period. During August-September 2020, the Minnesota Department of Health (MDH) investigated a coronavirus disease 2019 (COVID-19) outbreak associated with the rally in Minnesota residents. Fifty-one primary event-associated cases were identified, and 35 secondary or tertiary cases occurred among household, social, and workplace contacts, for a total of 86 cases; four patients were hospitalized, and one died. Approximately one third (34%) of 87 counties in Minnesota had at least one primary, secondary, or tertiary case associated with this rally. Genomic sequencing supported the associations with the motorcycle rally. These findings support current recommendations for mask use, physical distancing, reducing the number of attendees at gatherings, isolation for patients with COVID-19, and quarantine for close contacts to slow the spread of SARS-CoV-2 (1). Furthermore, although these findings did not capture the impact of the motorcycle rally on residents of other states, they demonstrate the rationale for consistent mitigation measures across states.

Restaurant Inspection Letter Grades and Salmonella Infections, New York, New York, USA.

Rates of Salmonella infection in the United States have not changed over the past 20 years. Restaurants are frequent settings for Salmonella outbreaks and sporadic infections. Few studies have examined the effect of posting letter grades for restaurant inspections on the incidence of foodborne illness. We compared Salmonella infection rates in New York, New York, USA (NYC), with those in the rest of New York state before and after implementation of a letter grade system for restaurant inspections in NYC. We calculated a segmented regression model for interrupted time series data. After implementation of letter grading, the rate of Salmonella infections decreased 5.3% per year in NYC versus the rest of New York state during 2011-2015, compared with the period before implementation, 2006-2010. Posting restaurant inspection results as letter grades at the point of service was associated with a decline in Salmonella infections in NYC and warrants consideration for broader use.

Asian American Dietary Sources of Sodium and Salt Behaviors Compared with Other Racial/ethnic Groups, NHANES, 2011-2012.

OBJECTIVE: Asian Americans consume more sodium than other racial/ethnic groups. The purpose of this analysis was to describe major sources of sodium intake to inform sodium reduction initiatives. METHODS: Cross-sectional data on adults (aged >18 years) from the National Health and Nutrition Examination Survey (NHANES) 2011-2012 with one 24-hour dietary recall were analyzed (n=5,076). Population proportions were calculated from "What We Eat in America" (WWEIA) food categories. RESULTS: Asian Americans had a higher sodium density vs adults of other racial/ethnic groups (means in mg/1000kcal: Asian American, 2031.1; Hispanic,1691.6; White: 1666.5; Black: 1655.5; P<.05, all). Half of sodium consumed by Asian Americans came from the top 10 food categories, in contrast to Hispanics (43.6%), Whites (39.0%), and Blacks (36.0%). Four food categories were a top source of sodium for Hispanics, Whites, Blacks, and others, but not among Asian Americans: cold cuts and cured meats; meat mixed dishes; eggs and omelets; and cheese. The top three food category sources of sodium among Asians were soups, rice, and yeast breads accounting for 28.9% of dietary sodium. Asian Americans were less likely to add salt at the table, but used salt in food preparation 'very often' (P for both <.01). CONCLUSIONS: Mean sodium consumption and sources vary across racial/ethnic groups with highest consumption in Asian Americans. Given the smaller number of food categories contributing to sodium intake in Asian Americans, results imply that targeted activities on a few food items would have a large impact on reducing sodium intake in this group.

Perceptions and the role of group exercise among New York City adults, 2010-2011: an examination of interpersonal factors and leisure-time physical activity.

OBJECTIVE: To examine associations of descriptive norms (i.e., behaviors of social group members) and exercising 'with a partner' or 'as a part of a group' on weekly leisure-time physical activity. METHODS: T-tests and adjusted multivariable linear models were used to test the associations between descriptive norms and exercising with a partner or as a part of a group with self-reported leisure-time physical activity using the cross-sectional, population-based New York City Physical Activity and Transit (PAT) Survey 2010-2011 (n=3806). RESULTS: Overall, 70.6% of adult New Yorkers reported having physically active friends. Having active friends was associated with increased leisure-time physical activity; however, the effect varied by sex. Compared to those who did not have active friends, males with active friends reported two times more activity (56 min/week) and women reported two and a half times more activity (35 min/week) (both p-values<0.001). Physically active males and females who usually engaged in leisure-time activities as a part of a group reported 1.4 times more activity than those who exercised alone (both p-values<0.03). CONCLUSIONS: Descriptive norms and group exercise were associated with leisure-time physical activity among adults. Based on these associations, encouraging group exercise may be an effective strategy for increasing leisure-time physical activity among certain subgroups.

Self-reported sitting time in New York City adults, the Physical Activity and Transit Survey, 2010-2011.

INTRODUCTION: Recent studies have demonstrated the negative health consequences associated with extended sitting time, including metabolic disturbances and decreased life expectancy. The objectives of this study were to characterize sitting time in an urban adult population and assess the validity of a 2-question method of self-reported sitting time. METHODS: The New York City Health Department conducted the 2010-2011 Physical Activity and Transit Survey (N = 3,597); a subset of participants wore accelerometers for 1 week (n = 667). Self-reported sitting time was assessed from 2 questions on time spent sitting (daytime and evening hours). Sedentary time was defined as accelerometer minutes with less than 100 counts on valid days. Descriptive statistics were used to estimate the prevalence of sitting time by demographic characteristics. Validity of sitting time with accelerometer-measured sedentary time was assessed using Spearman's correlation and Bland-Altman techniques. All data were weighted to be representative of the New York City adult population based on the 2006-2008 American Community Survey. RESULTS: Mean daily self-reported sitting time was 423 minutes; mean accelerometer-measured sedentary time was 490 minutes per day (r = 0.32, P < .001). The mean difference was 49 minutes per day (limits of agreement: -441 to 343). Sitting time was higher in respondents at lower poverty and higher education levels and lower in Hispanics and people who were foreign-born. CONCLUSION: Participants of higher socioeconomic status, who are not typically the focus of health disparities-related research, had the highest sitting times; Hispanics had the lowest levels. Sitting time may be accurately assessed by self-report with the 2-question method for population surveillance but may be limited in accurately characterizing individual-level behavior.

Surveillance for Unexplained Deaths of Possible Infectious Etiologies During the COVID-19 Pandemic-Minnesota, 2020-2021.

OBJECTIVES: Surveillance systems for unexplained deaths that might have an infectious etiology are rare. We examined the Minnesota Department of Health Unexplained Deaths and Critical Illnesses of Possible Infectious Etiology and Medical Examiner Infectious Deaths (UNEX/MED-X) surveillance system,-a system that expanded postmortem surveillance for infectious diseases during the COVID-19 pandemic by leveraging standard (medical examiner [ME]) and expanded (mortuary) surveillance to identify COVID-19-related deaths. METHODS: MEs, coroners, or morticians collected postmortem swabs from decedents with an infectious prodrome or with SARS-CoV-2 exposure before death but with no known recent infectious disease testing. The Minnesota Department of Health Public Health Laboratory used nucleic acid amplification, viral culture, and standard algorithms to test specimens collected postmortem for SARS-CoV-2, influenza virus, and other infectious pathogens. We reviewed UNEX/MED-X data from March 2, 2020, through December 31, 2021, and characterized decedents by location of swab collection (ie, ME or mortuary). RESULTS: From March 2, 2020, through December 31, 2021, the UNEX/MED-X surveillance system received samples from 182 decedents from mortuaries and 955 decedents from MEs. Mortuary decedents were older than ME decedents (median age, 78 vs 46 y). Seventy-three mortuary decedents (40.1%) and 197 ME decedents (20.6%) had SARS-CoV-2 detections. The UNEX/MED-X system identified 212 COVID-19-related deaths, representing 2.0% of total COVID-19-related deaths in Minnesota. Eighty-nine decedents (42.0%) were from racial and ethnic minority populations, representing 6.1% more COVID-19-related deaths among people from racial and ethnic minority populations than would have been detected without this surveillance system. PRACTICE IMPLICATIONS: Expanded and standard UNEX/MED-X surveillance builds capacity and flexibility for responding to emerging public health threats. Similar programs should be considered elsewhere as resources allow.

Use of serial testing to interrupt a severe acute respiratory coronavirus virus 2 (SARS-CoV-2) outbreak on a hospital medical floor-Minnesota, October-December 2020.

OBJECTIVE: Describe a severe acute respiratory coronavirus virus 2 (SARS-CoV-2) hospital outbreak and the role of serial testing of patients and healthcare personnel (HCP) in interrupting SARS-CoV-2 transmission. DESIGN: Outbreak investigation. SETTING: Medical floor of a tertiary-care center in Minnesota. METHODS: Serial testing for SARS-CoV-2 and whole-genome sequencing (WGS) of positive specimens from HCP and patients were used. An outbreak-associated case was defined as a positive SARS-CoV-2 molecular test in an HCP who worked on the floor prior to testing positive or in a patient who was hospitalized on the medical floor bewteen October 27 and December 1, 2020. WGS was used to determine potential routes of transmission. RESULTS: The outbreak was detected after a patient hospitalized for 12 days tested positive for SARS-CoV-2. Serial testing of patients and HCP was conducted in response. Overall, 247 HCP and 41 patients participated in serial SARS-CoV-2 testing; 52 HCP (21%) and 19 hospitalized patients (46%) tested positive. One additional HCP tested positive outside serial testing. The WGS of specimens from 27 (51%) HCP and 15 (79%) patients identified 3 distinct transmission clusters. WGS and epidemiologic evidence suggested intrafacility transmission. The proportions of asymptomatic and presymptomatic patients who tested positive (63%) and HCP who worked during their infectious period (75%) highlight the need for serial testing of asymptomatic patients and HCP during outbreaks. CONCLUSIONS: Coupled with preventive measures such as personal protective equipment use and physical distancing, serial testing of HCP and patients could help detect and prevent transmission within healthcare facilities during outbreaks and when nosocomial transmission is suspected.

Rapid onset of functional tic-like behaviors among adolescent girls-Minnesota, September-November 2021.

Background: On October 15, 2021, the Minnesota Department of Health began investigating a school cluster of students experiencing tic-like behaviors thought to be related to recent COVID-19. The objective of this report is to describe the investigation, key findings, and public health recommendations. Methods: Affected students and proxies were interviewed with a standardized questionnaire including validated depression and anxiety screens. Results: Eight students had tic-like behaviors lasting >24 h after initial report with onset during September 26-October 30, 2021. All eight students were females aged 15-17 years. All students either had a history of depression or anxiety or scored as having more than minimal anxiety or depression on validated screens. Four students previously had confirmed COVID-19: the interval between prior COVID-19 and tic symptom onset varied from more than a year prior to tic symptom onset to at the time of tic symptom onset. Conclusion: The onset of tic-like behaviors at one school in Minnesota appeared to be related more to underlying mental health conditions than recent COVID-19. These findings highlight the need to better understand functional tic-like behaviors and adolescent mental health.

Foodborne Outbreak Rates Associated with Restaurant Inspection Grading and Posting at the Point of Service: Evaluation Using National Foodborne Outbreak Surveillance Data.

ABSTRACT: A previously conducted national survey of restaurant inspection programs associated the practice of disclosing inspection results to consumers at the restaurant point of service (POS) with fewer foodborne outbreaks. We used data from the national Foodborne Disease Outbreak Surveillance System (FDOSS) to assess the reproducibility of the survey results. Programs that participated in the survey accounted for approximately 23% of the single-state foodborne illness outbreaks in restaurant settings reported to FDOSS during 2016 to 2018. Agencies that disclosed inspection results at the POS reported fewer outbreaks (mean = 0.29 outbreaks per 1,000 establishments) than those that disclosed results online (0.7) or not at all (1.0). Having any grading method for inspections was associated with fewer reported outbreaks than having no grading method. Agencies that used letter grades had the lowest numbers of outbreaks per 1,000 establishments. There was a positive association (correlation coefficient, R2 = 0.29) between the mean number of foodborne illness complaints per 1,000 establishments, per the survey, and the mean number of restaurant outbreaks reported to FDOSS (R2 = 0.29). This association was stronger for bacterial toxin-mediated outbreaks (R2 = 0.35) than for norovirus (R2 = 0.10) or Salmonella (R2 = 0.01) outbreaks. Our cross-sectional study findings are consistent with previous observations that linked the practice of posting graded inspection results at the POS with reduced occurrence of foodborne illnesses and outbreaks associated with restaurants. Support for foodborne illness surveillance programs and food regulatory activities at local health agencies is foundational for food safety systems coordinated at state and federal levels.

A Public Health Informatics Solution to Improving Food Safety in Restaurants: Putting the Missing Piece in the Puzzle.

Foodborne illnesses remain an important public health challenge in the United States causing an estimated 48 million illnesses, 128,000 hospitalizations, and 3,000 deaths per year. Restaurants are frequent settings for foodborne illness transmission. Public health surveillance - the continual, systematic collection, analysis, and interpretation of reports of health data to prevent and control illness - is a prerequisite for an effective food control system. While restaurant inspection data are routinely collected, these data are not regularly aggregated like traditional surveillance data. However, there is evidence that these data are a valuable tool for understanding foodborne illness outbreaks and threats to food safety. This article discusses the challenges and opportunities for incorporating routine restaurant inspection data as a surveillance tool for monitoring and improving foodborne illness prevention activities. The three main challenges are: 1) lack of a national framework; 2) lack of data standards and interoperability; and 3) limited access to restaurant inspection data. Tapping into the power of public health informatics represents an opportunity to address these challenges. Advancing the food safety system by improving restaurant inspection information systems and making restaurant inspection data available to support decision-making represents an opportunity to practice smarter food safety.

Self-Rated Diet Quality and Cardiometabolic Health Among U.S. Adults, 2011-2018.

INTRODUCTION: Self-rated health has been extensively studied, but the utility of a similarly structured question to rate diet quality is not well characterized. This study aims to assess the relative validity of self-rated diet quality, compared with that of a validated diet quality measure (Healthy Eating Index-2015) and to examine the associations with cardiometabolic risk factors. METHODS: Analyses were conducted in 2020-2021 using cross-sectional data from the National Health and Nutrition Examination Survey, 2011-2018. Nonpregnant adults who responded to the question: How healthy is your overall diet? and provided 2 dietary recalls were eligible (n=16,913). Associations between self-rated diet quality (modeled as a 5-point continuous variable, poor=1 to excellent=5) and Healthy Eating Index-2015 scores and cardiometabolic risk factors were assessed by linear regression, accounting for the complex survey design and adjusting for demographic and lifestyle characteristics. RESULTS: Self-rated diet quality was positively associated with total Healthy Eating Index-2015 scores (p < 0.001) and with all components except with Dairy (p=0.94) and Sodium (p=0.66). Higher self-rated diet quality was associated with lower BMI, waist circumference, glucose, insulin, triglycerides, and HbA1c and with higher high-density lipoprotein cholesterol (all p<0.01). Positive associations with total diet quality persisted across all racial/ethnic groups, although the associations with individual dietary components varied. Higher self-ratings were most consistently associated with better-scored diet quality among individuals with BMI <30 kg/m2. CONCLUSIONS: Self-rated diet quality was associated with Healthy Eating Index-2015 scores and cardiometabolic disease risk factors. This single-item assessment may be useful in time-limited settings to quickly and easily identify patients in need of dietary counseling to improve cardiometabolic health.

Consumer Interest and Preferred Formats for Disclosure of Restaurant Inspection Results, Minnesota 2019.

ABSTRACT: In recent years, numerous state and local health departments have developed systems to disclose restaurant inspection results to consumers. Public disclosure of restaurant inspection results can reduce transmission of foodborne illness by driving improvements in sanitary conditions. In Minnesota, restaurant inspection results are not readily accessible for consumers to use to make decisions about where to eat. The objective of this study was to assess the consumer interest among Minnesota adults in having better access to restaurant inspection results and to identify preferred formats for disseminating this information. We conducted a survey among 1,188 Minnesota residents aged 18 years or older at the 2019 Minnesota State Fair. Overall, 94.4% of respondents wanted better access to restaurants' inspection information. More than three-quarters (77.1%) of respondents stated that they would use this information to decide where to eat. Respondents wanted to see inspection results online (71.6%) and at restaurants (62.1%). Increasing public access to inspection results could reinforce efforts by public health agencies and food service operators to improve the safety of foods prepared away from home.

Age and Racial/Ethnic Differences in Dietary Sources of Protein, NHANES, 2011-2016.

Background: Dietary protein serves a pivotal role in providing the body with essential amino acids, which are required for the maintenance of body proteins, and the assimilation of structural and functional components required for basic survival. Understanding how dietary protein sources potentially vary for different population subgroups will allow for future nutrition interventions to be more targeted for specific needs. Objective: The purpose of this analysis was to identify the top ten food category sources of dietary protein by age and race and ethnicity in a nationally representative sample. Methods: Cross-sectional data on adults (18+ years) from the National Health and Nutrition Examination Survey (NHANES) 2011-2016 with one 24-h dietary recall were analyzed (n = 15,697). Population proportions were calculated based on protein intake (g/day) for What We Eat In America food categories. Results: The analytic sample (n = 15,697) was 15.0% Hispanic (95% CI [12.1, 17.9], 65.0% non-Hispanic White (95% CI [60.8, 69.3]), 11.5% non-Hispanic Black (95% CI [9.1, 13.9]), 5.4% non-Hispanic Asian (95% CI [4.3, 6.6]), and 3.1% other (95% CI [2.5, 3.6]). In all racial and ethnic groups, as well as age categories, chicken (whole pieces) was the top-ranked source of dietary protein. In addition to chicken (whole pieces), beef (excludes ground), eggs and omelets, and meat mixed dishes food categories ranked in the top ten sources of protein for every race/ethnicity. Only two solely plant-based proteins appeared in the top ten sources: beans, peas and legumes for Hispanics, and nuts and seeds for Other. For all age categories, beef (excludes ground) was among the top five sources and egg/omelets appear in the top ten sources. Conclusion: The top ten sources of protein accounted for over 40% of dietary protein irrespective of race/ethnicity or age category, having major implications for the sustainability of our nation's food supply. Public health strategies that encourage diversity in protein sources in food preparation and incorporate legumes and nuts along with poultry have the potential to shift the overall population protein intake distribution toward improving overall diet quality.

Can Aggregated Restaurant Inspection Data Help Us Understand Why Individual Foodborne Illness Outbreaks Occur?

ABSTRACT: Restaurant inspections seek to identify and correct risk factors for foodborne illness, but restaurant inspection data are not typically used more broadly as a food safety surveillance tool. In 2015, there was an outbreak of Salmonella serotype Newport infections associated with multiple restaurants in a chain (chain A), primarily in Minnesota. The outbreak was associated with tomatoes that were likely contaminated at the point of production. The objective of this study was to demonstrate the potential usefulness of aggregated restaurant inspection data in aiding individual outbreak investigations. Reports of the last inspection for all chain A restaurants that preceded the first reported case meal date in the outbreak were obtained from local health departments and the Minnesota Department of Health. Ordinal logistic regression was used to assess differences in risk factor and good retail practice violation categories and specific violations in restaurants with zero cases (nonoutbreak restaurants) (n = 25), one to two cases (n = 16), and at least three cases (n = 13). For restaurants with a "protection from contamination" violation in the routine inspection that preceded the outbreak, the proportional odds ratio for outbreak level was 4.92 (95% confidence interval: 1.57, 15.39; P = 0.01). These findings suggest that food handling practices in the outbreak restaurants may have increased contamination of foods through cross-contamination, which in turn increased transmission at outbreak restaurants. These data suggest that aggregated data from routine inspection reports can provide useful information to aid in outbreak investigations and other foodborne illness surveillance and prevention activities.

Validation of self-rated overall diet quality by Healthy Eating Index-2010 score among New York City adults, 2013.

OBJECTIVE: Chronic conditions such as cardiovascular disease and cancer can result from a number of diet-related environmental and behavioral factors. Screening for poor diet is helpful in developing interventions to prevent chronic disease, but measuring dietary behavior can be costly and time-consuming. The purpose of this study was to test the ability of a self-rated, single-item measure for evaluating diet quality among individuals and populations. METHODS: A 24-h dietary recall and single-item self-rated diet quality measure were collected for 485 adults. From dietary recalls, Healthy Eating Index-2010 (HEI) scores were computed and compared with self-rated diet quality. Data were collected in 2013 among adult (18 years and older) New York City residents. RESULTS: The study sample was 57% female, 47% white, 56% college educated, and 45% in the highest income tertile. The mean HEI score was 56.5 out of a possible 100. Women averaged higher HEI scores compared to men (58.1 vs 54.3, p = .01). There was a modest yet significant correlation between HEI scores and self-rated diet quality (ρ = 0.29, p < .01). Overall, mean HEI score increased as self-rated diet quality improved (from 48.2 for "poor" to 63.0 for "excellent"). CONCLUSIONS: The single-item measure of self-rated diet quality may provide a simple method of identifying those with the worst diet quality. Further investigation of this measure's validity is needed with alternative measures of dietary intake and with health outcomes.

Independent associations of sodium intake with measures of body size and predictive body fatness.

OBJECTIVE: Observational studies highlight a possible relationship between sodium intake and obesity. This investigation explores the cross-sectional relationships between sodium intake and measures of body size and fatness (body mass index [BMI], weight, waist circumference, predictive body fatness). METHODS: Analyses were performed using data from participants in the National Health and Nutrition Examination Survey (NHANES) 2009-10 with two 24-h dietary recalls and measures of body size and fatness (n = 4,613). Regression analyses assessed the relationships of sodium (1,000 mg/day) with outcomes, adjusting for caloric intake. Analyses are presented overall and by sex; data were weighted to be representative of the non-institutionalized US adult population. RESULTS: Positive associations between sodium intake and measures of body size and predictive body fatness were observed, and the magnitude of association was larger in women than in men. For each 1,000 mg/day higher sodium intake, BMI was 1.03 kg/m(2) higher; weight was 2.75 kg higher; waist circumference was 2.15 cm higher; and predictive body fatness was 1.18% higher after adjustment for energy intake. CONCLUSIONS: Longitudinal analyses examining associations between sodium intake and measures of body size and body fatness are needed.