The impact of the federal menu labeling law on the sentiment of Twitter discussions about restaurants and food retailers: An interrupted time series analysis.

The US federal menu labeling law, implemented on May 7 th 2018, required that restaurant chains post calorie counts on menu items. The purpose of this study was to analyze the change in public sentiment, using Twitter data, regarding eight restaurant chains before and after the calorie labeling law's implementation. Twitter data was mined from Twitter's application programming interface (API) for this study from the calendar year 2018; 2016 and was collected as a control. We selected restaurant chains that had a range of compliance dates with the law. Tweets about each chain were filtered by brand-specific keywords, and Valence Aware Dictionary and sEntiment Reasoner (VADER) sentiment analysis was applied to receive a continuous compound score (-1-1) of how positive (1) or negative (-1) each tweet was. Controlled Interrupted Time Series (CITS) was performed with Ordinary Least Squares (OLS) Regression on 2018 and 2016 series of compound scores for each brand, and level and trend changes were calculated. Most restaurant chains that implemented the federal menu calorie labeling law experienced no change or a small change in level or trend in sentiment after they implemented labeling. Chains experienced mildly more negative sentiment right after the law was implemented, with attenuation of this effect over time. Calorie labeling did not have a strong effect on the public's perception of food brands over the long-term on Twitter and may imply the need for greater efforts to change the sentiment towards unhealthy restaurant chains.

Obesity prevention across the US: A review of state-level policies from 2009 to 2019.

Objective: Uniquely, state legislators may enact obesity prevention policies tailored to each state's needs and take diverse policy approaches to address obesity prevalence. The objective of this study was to identify and describe state-level obesity-related policies between 2009 and 2019. Methods: Using a database of legislation covering 2009-2019, researchers categorized obesity-related legislation by status (proposed/enacted), topic, and environment impacted. Researchers determined the number of policies proposed; enacted, by political party control; obesity prevalence, by states over time. Results: 3256 obesity-related policies were proposed among 50 states and Washington DC between 2009 and 2019. Collectively, 18% (593) of policies were enacted; California (96), New and Jersey (57) enacted the most. Across environment and topics, the most enacted policies categorized in school environment (226) and school nutrition (150) topic area. Most policies were proposed (496) and enacted (77) in 2011. On average, Democrat-controlled states had higher enactment rates than Republican-controlled states, as did states with lower (vs. higher) obesity prevalence. Conclusions: States have actively pursued obesity-related legislation across multiple topics and environments from 2009 to 2019, with mixed enactment rates. Evaluating the impact of these policies, alone and in combination, will be important to determine whether these state-level efforts reduce obesity.

Nutritional Composition and Purchasing Patterns of Supermarket Prepared Foods Over Time.

INTRODUCTION: Prepared (ready-to-eat) foods are sold in >90% of U.S. supermarkets, but little is known about their nutritional quality. This study examined trends in purchases of supermarket prepared foods and compared their nutritional profile with that of supermarket packaged foods and restaurant foods. METHODS: Nutrition data were obtained on prepared foods sold from 2015 to 2019 in 2 supermarket chains (∼1,200 stores). One chain (193 stores) provided transaction-level sales data from 2015 to 2017. Analyses (conducted in 2021-2022) examined trends in the number of different prepared foods offered by the chains and trends in purchases of calories, total sugar, saturated fat, and sodium from prepared foods. Calorie and nutrient densities (i.e., per 100 g of food) and prevalence of being high in calories or nutrients (on the basis of Chilean standards) were analyzed among supermarket prepared foods, supermarket packaged foods, and restaurant foods consumed in the National Health and Nutrition Examination Surveys 2015-2018. RESULTS: The number of different prepared foods offered at supermarket chains increased from 1,930 in 2015 to 4,113 in 2019. Calories per transaction purchased from supermarket prepared foods increased by 1.0 calories/month (95% CI=0.8, 1.1), a ∼3% annual increase, with similar trends for other nutrients. At supermarkets, >90% of prepared bakery and deli items and 61% of prepared entrees/sides were high in calories or another nutrient of concern, similar to supermarket packaged foods and restaurant foods. CONCLUSIONS: Supply of and demand for supermarket prepared foods have grown substantially over time. These trends are concerning given these foods' overall poor nutritional quality.

Assessment of Calories Purchased After Calorie Labeling of Prepared Foods in a Large Supermarket Chain.

Importance: Calorie labels for prepared (ie, ready-to-eat) foods are required in large chain food establishments in the US. Large evaluations in restaurants suggest small declines in purchases of prepared foods after labeling, but to the authors' knowledge, no studies have examined how this policy influences supermarket purchases. Objective: To estimate changes in calories purchased from prepared foods and potential packaged substitutes compared with control foods after calorie labeling of prepared foods in supermarkets. Design, Setting, and Participants: This controlled interrupted time series compared sales 2 years before labeling implementation (April 2015-April 2017) with sales 7 months after labeling implementation (May 2017-December 2017). Data from 173 supermarkets from a supermarket chain with locations in Maine, Massachusetts, New Hampshire, New York, and Vermont were analyzed from March 2020 to May 2022. Intervention: Implementation of calorie labeling of prepared foods in April 2017. Main Outcomes and Measures: Purchased items were classified as prepared foods, potential packaged substitutes for prepared foods, or all other (ie, control) foods. The primary outcome was mean weekly calories per transaction purchased from prepared foods, and the secondary outcome was mean weekly calories per transaction purchased from similar packaged items (for substitution analyses). Analyses of prepared and packaged foods were stratified by food category (bakery, entrées and sides, or deli meats and cheeses). Results: Among the included 173 supermarkets, calorie labeling was associated with a mean 5.1% decrease (95% CI, -5.8% to -4.4%) in calories per transaction purchased from prepared bakery items and an 11.0% decrease (95% CI, -11.9% to -10.1%) from prepared deli items, adjusted for changes in control foods; no changes were observed for prepared entrées and sides (change = 0.3%; 95% CI, -2.5% to 3.0%). Labeling was also associated with decreased calories per transaction purchased from packaged bakery items (change = -3.9%; 95% CI, -4.3% to -3.6%), packaged entrées and sides (change = -1.2%; 95% CI, -1.4% to -0.9%), and packaged deli items (change = -2.1%; 95% CI, -2.4% to -1.7%). Conclusions and Relevance: In this longitudinal study of supermarkets, calorie labeling of prepared foods was associated with small to moderate decreases in calories purchased from prepared bakery and deli items without evidence of substitution to similar packaged foods.

Changes in Calorie Content of Menu Items at Large Chain Restaurants After Implementation of Calorie Labels.

Importance: Calorie labeling on menus is required in US chain food establishments with 20 or more locations. This policy may encourage retailers to offer lower-calorie items, which could lead to a public health benefit by reducing customers' calorie intake from prepared foods. However, potential reformulation of restaurant menu items has not been examined since nationwide enforcement of this policy in 2018. Objective: To examine the calorie content of menu items at large chain restaurants before and after implementation of federally mandated menu calorie labels. Design, Setting, and Participants: This pre-post cohort study used restaurant menu data from MenuStat, a database of nutrition information for menu items offered in the largest chain restaurants in the US, collected annually from 2012 to 2019. The study comprised 35 354 menu items sold at 59 large chain restaurants in the US. Statistical analysis was conducted from February 4 to October 8, 2021. Intervention: Nationwide implementation of menu calorie labeling. Main Outcomes and Measures: Changes in menu items' calorie content after restaurant chains implemented calorie labels were estimated, adjusting for prelabeling trends. All menu items, continuously available items, items newly introduced to menus, and items removed from menus were examined separately. Results: Among the 59 restaurant chains included in the study, after labeling, there were no changes in mean calorie content for all menu items (change = -2.0 calories; 95% CI, -8.5 to 4.4 calories) or continuously available items (change = -2.3 calories; 95% CI, -11.5 to 6.3 calories). Items that were newly introduced after labeling, however, had a lower mean calorie content than items introduced before labeling (change = -112.9 calories; 95% CI, -208.6 to -25.2 calories), although there was heterogeneity by restaurant type. Items removed from menus after labeling had similar calorie content as items removed before labeling (change = 0.5 calories; 95% CI, -79.4 to 84.0 calories). Conclusions and Relevance: In this cohort study of large chain restaurants, implementing calorie labels on menus was associated with the introduction of lower-calorie items but no changes in continuously available or removed items.

The Federal Menu Labeling Law and Twitter Discussions about Calories in the United States: An Interrupted Time-Series Analysis.

Public awareness of calories in food sold in retail establishments is a primary objective of the menu labeling law. This study explores the extent to which we can use social media and internet search queries to understand whether the federal calorie labeling law increased awareness of calories. To evaluate the association of the federal menu labeling law with tweeting about calories we retrieved tweets that contained the term "calorie(s)" from the CompEpi Geo Twitter Database from 1 January through 31 December in 2016 and 2018. Within the same time period, we also retrieved time-series data for search queries related to calories via Google Trends (GT). Interrupted time-series analysis was used to test whether the federal menu labeling law was associated with a change in mentions of "calorie(s)" on Twitter and relative search queries to calories on GT. Before the implementation of the federal calorie labeling law on 7 May 2018, there was a significant decrease in the baseline trend of 4.37 × 10-8 (SE = 1.25 × 10-8, p < 0.001) mean daily ratio of calorie(s) tweets. A significant increase in post-implementation slope of 3.19 × 10-8 (SE = 1.34 × 10-8 , p < 0.018) mean daily ratio of calorie(s) tweets was seen compared to the pre-implementation slope. An interrupted time-series (ITS) analysis showed a small, statistically significant upward trend of 0.0043 (SE = 0.036, p < 0.001) weekly search queries for calories pre-implementation, with no significant level change post-implementation. There was a decrease in trend of 1.22 (SE = 0.27, p < 0.001) in search queries for calories post-implementation. The federal calorie labeling law was associated with a 173% relative increase in the trend of mean daily ratio of tweets and a -28381% relative change in trend for search queries for calories. Twitter results demonstrate an increase in awareness of calories because of the addition of menu labels. Google Trends results imply that fewer people are searching for the calorie content of their meal, which may no longer be needed since calorie information is provided at point of purchase. Given our findings, discussions online about calories may provide a signal of an increased awareness in the implementation of calorie labels.

Changes in the calorie and nutrient content of purchased fast food meals after calorie menu labeling: A natural experiment.

BACKGROUND: Calorie menu labeling is a policy that requires food establishments to post the calories on menu offerings to encourage healthy food choice. Calorie labeling has been implemented in the United States since May 2018 per the Affordable Care Act, but to the best of our knowledge, no studies have evaluated the relationship between calorie labeling and meal purchases since nationwide implementation of this policy. Our objective was to investigate the relationship between calorie labeling and the calorie and nutrient content of purchased meals after a fast food franchise began labeling in April 2017, prior to the required nationwide implementation, and after nationwide implementation of labeling in May 2018, when all large US chain restaurants were required to label their menus. METHODS AND FINDINGS: We obtained weekly aggregated sales data from 104 restaurants that are part of a fast food franchise for 3 national chains in 3 US states: Louisiana, Mississippi, and Texas. The franchise provided all sales data from April 2015 until April 2019. The franchise labeled menus in April 2017, 1 year prior to the required nationwide implementation date of May 2018 set by the US Food and Drug Administration. We obtained nutrition information for items sold (calories, fat, carbohydrates, protein, saturated fat, sugar, dietary fiber, and sodium) from Menustat, a publicly available database with nutrition information for items offered at the top revenue-generating US restaurant chains. We used an interrupted time series to find level and trend changes in mean weekly calorie and nutrient content per transaction after franchise and nationwide labeling. The analytic sample represented 331,776,445 items purchased across 67,112,342 transactions. Franchise labeling was associated with a level change of -54 calories/transaction (95% confidence interval [CI]: -67, -42, p < 0.0001) and a subsequent 3.3 calories/transaction increase per 4-week period (95% CI: 2.5, 4.1, p < 0.0001). Nationwide implementation was associated with a level decrease of -82 calories/transaction (95% CI: -88, -76, p < 0.0001) and a subsequent -2.1 calories/transaction decrease per 4-week period (95% CI: -2.9, -1.3, p < 0.0001). At the end of the study, the model-based predicted mean calories/transaction was 4.7% lower (change = -73 calories/transaction, 95% CI: -81, -65), and nutrients/transaction ranged from 1.8% lower (saturated fat) to 7.0% lower (sugar) than what we would expect had labeling not been implemented. The main limitations were potential residual time-varying confounding and lack of individual-level transaction data. CONCLUSIONS: In this study, we observed that calorie labeling was associated with small decreases in mean calorie and nutrient content of fast food meals 2 years after franchise labeling and nearly 1 year after implementation of labeling nationwide. These changes imply that calorie labeling was associated with small improvements in purchased meal quality in US chain restaurants.

Calorie Labeling and Product Reformulation: A Longitudinal Analysis of Supermarket-Prepared Foods.

INTRODUCTION: The 2010 Affordable Care Act required chain retail food establishments, including supermarkets, to post calorie information for prepared (i.e., ready to eat) foods. Implementation of calorie labeling could spur companies to reduce the calorie content of prepared foods, but few studies have explored this. This study evaluates the changes in the calorie content of prepared foods at 2 large U.S. supermarket chains after they implemented calorie labels in April 2017. METHODS: The chains (≈1,200 stores) provided data on the calorie content and labeling status of all items sold between July 2015 and January 2019. In 2021, analyses used a difference-in-differences approach to examine the changes in the calorie content of prepared bakery, entree, and deli items introduced before calorie labeling to those introduced after the labeling compared with changes in similar foods not subject to the new labeling requirement. Primary analyses examined continuously available items; exploratory analyses examined items newly introduced to the marketplace. RESULTS: Relative to changes in comparison foods not subject to the labeling requirement, continuously available prepared bakery items decreased by 7.7 calories per item after calorie labels were implemented (95% CI= -12.9, -2.5, p=0.004, ≈0.5% reduction). In exploratory analyses, prepared bakery items introduced after calorie labeling contained 440 fewer calories per item than those introduced before calorie labeling (95% CI= -773.9, -106.1, p=0.01, ≈27% reduction), driven by reductions in product size. No changes were observed in the calorie content of continuously available or newly introduced prepared entrees or deli items. CONCLUSIONS: Implementing calorie labels could encourage product reformulation among some types of prepared supermarket foods. These supply-side changes could lead to reductions in caloric intake.

Reaching women with obesity to support weight loss before pregnancy: feasibility and qualitative assessment.

BACKGROUND: We sought to assess attitudes toward weight and barriers to recruitment of women with obesity for a potential preconception weight-loss/lifestyle modification intervention. METHODS: We performed a qualitative study involving women of reproductive age (18-45) with obesity (body mass index ⩾30 kg/m2) who were considering a pregnancy in the next 2 years. We evaluated four methods of recruitment. We used previously validated survey questions to evaluate risk perceptions. In a subset, we used semistructured interviews for topics that required more in-depth information: domains included attitudes toward weight-related issues, intentions, and barriers to engagement in a structured weight-loss program. We performed qualitative analyses of interview transcripts using immersion crystallization. RESULTS: We recruited the majority (80/82, 98%) of women using e-recruitment strategies. Eighty-one women filled out the survey and 39 completed an interview. Three-quarters of the women surveyed (60 of 81) reported attempts to lose weight in the past year and 77% (68/81) of survey respondents cited jobs and work schedules as a barrier to adopting healthy habits. More than 87% (34 of 39) of women interviewed reported willingness to participate in a structured weight-loss program prior to getting pregnant. Of these, 74% (25 of 34) stated they would consider delaying their attempts at a future pregnancy in order to participate in such a program. CONCLUSIONS: E-recruitment is a promising strategy for recruitment for preconception weight-loss and lifestyle modification program. Most women state a willingness to delay pregnancy attempts to participate in a weight-loss program.

Federal calorie labelling compliance at US chain restaurants.

OBJECTIVE: The 2010 Affordable Care Act included a provision requiring chain food establishments to post calories on menus. In 2017, prior to the final implementation of the law, 59 of 90 top-selling chains had fully implemented labelling. This study extends the documentation of compliance to the 200 top-selling chains after the nationwide requirement went into effect in May 2018. METHODS: To determine if restaurants were compliant with the federal menu labelling law, objective information was collected from all 197 of the 200 highest grossing restaurant chains in the United States. The study team obtained information via site visits and internet searches for a convenience sample of restaurants within each of these chains. RESULTS: 94% had implemented menu calorie labelling after the May 2018 deadline. Of the 11 chains not complying, six were full-service restaurants. CONCLUSION: Most chain restaurants have complied with the federal calorie labelling law, suggesting that compliance is attainable for all chains. Given this finding, the Food and Drug Administration should initiate enforcement of labelling for noncompliant chains.

BWHealthy Weight Pilot Study: A randomized controlled trial to improve weight-loss maintenance using deposit contracts in the workplace.

OBJECTIVE: Deposit contracts, where participants "bet" on achieving a goal and get their money back only if successful, have been shown to be effective for short-term weight-loss. This pilot study examined their effect on weight-loss maintenance. METHODS: From 2016 to 2018, we conducted a pilot, 50-week randomized controlled trial among 42 hospital employees (19 intervention and 23 control), in Boston, Massachusetts, who lost ≥10 lb (4.5 kg) in the two years prior to enrollment. Participants were recruited primarily in-person. Both control and intervention participants were asked to attend a weigh in weekly and received weekly email communication. Intervention participants also entered into a deposit contract to maintain baseline weight within ≤2 lb (0.9 kg). We examined weight change from baseline to 50 weeks (primary outcome) and maintenance of baseline weight at 50 weeks (secondary outcome; binary - yes v. no). Participants completed baseline and follow-up surveys and received incentives for completion. RESULTS: At baseline, mean (SD) weight was 83.2 (15.5 kg) among intervention and 80.7 (14.5 kg) among control participants. After 50 weeks, intervention participants had slightly less but non-significant weight gain (adjusted ß -1.12 kg; 95% CI -5.28, 3.05) than control participants; 73.7% of intervention v. 39.1% of control participants met their weight-loss maintenance goal by study end (adjusted OR 4.78; 95% CI 1.01, 22.71). CONCLUSIONS: A deposit contract was not associated with differences in weight but led to more participants meeting their weight-loss maintenance goals; a deposit contract for weight-loss maintenance should be tested in a full-scale intervention. Most intervention participants viewed the deposit contract as acceptable.

Estimating the effect of calorie menu labeling on calories purchased in a large restaurant franchise in the southern United States: quasi-experimental study.

OBJECTIVE: To evaluate whether calorie labeling of menus in large restaurant chains was associated with a change in mean calories purchased per transaction. DESIGN: Quasi-experimental longitudinal study. SETTING: Large franchise of a national fast food company with three different restaurant chains located in the southern United States (Louisiana, Texas, and Mississippi) from April 2015 until April 2018. PARTICIPANTS: 104 restaurants with calorie information added to in-store and drive-thru menus in April 2017 and with weekly aggregated sales data during the pre-labeling (April 2015 to April 2017) and post-labeling (April 2017 to April 2018) implementation period. MAIN OUTCOME MEASURES: Primary outcome was the overall level and trend changes in mean purchased calories per transaction after implementation of calorie labeling compared with the counterfactual (ie, assumption that the pre-intervention trend would have persisted had the intervention not occurred) using interrupted time series analyses with linear mixed models. Secondary outcomes were by item category (entrees, sides, and sugar sweetened beverages). Subgroup analyses estimated the effect of calorie labeling in stratums defined by the sociodemographic characteristics of restaurant census tracts (defined region for taking census). RESULTS: The analytic sample comprised 14 352 restaurant weeks. Over three years and among 104 restaurants, 49 062 440 transactions took place and 242 726 953 items were purchased. After labeling implementation, a level decrease was observed of 60 calories/transaction (95% confidence interval 48 to 72; about 4%), followed by an increasing trend of 0.71 calories/transaction/week (95% confidence interval 0.51 to 0.92) independent of the baseline trend over the year after implementation. These results were generally robust to different analytic assumptions in sensitivity analyses. The level decrease and post-implementation trend change were stronger for sides than for entrees or sugar sweetened beverages. The level decrease was similar between census tracts with higher and lower median income, but the post-implementation trend in calories per transaction was higher in low income (change in calories/transaction/week 0.94, 95% confidence interval 0.67 to 1.21) than in high income census tracts (0.50, 0.19 to 0.81). CONCLUSIONS: A small decrease in mean calories purchased per transaction was observed after implementation of calorie labeling in a large franchise of fast food restaurants. This reduction diminished over one year of follow-up.

Supporting healthful lifestyles during pregnancy: a health coach intervention pilot study.

BACKGROUND: Excessive gestational weight gain (GWG) is associated with adverse health outcomes in both the mother and child. Many previous lifestyle interventions in women with excess weight during pregnancy encouraging appropriate GWG have been unsuccessful, and there remains no consensus about the content, format, or theoretical framework of GWG interventions. We assessed the feasibility and acceptability of a remote health coach intervention to promote healthful lifestyle behaviors and appropriate GWG among overweight pregnant women. METHODS: At one northeastern US clinic, we enrolled 30 overweight (pre-pregnancy BMI ≥ 25 kg/m2) pregnant women at a median gestation of 12.5 weeks (IQR: 11-15) into a one-arm trial. We connected participants with a health coach to provide behavioral support to help participants adopt healthful lifestyles during pregnancy. Health coaches contacted participants by phone every 2-3 weeks to monitor goals, and sent emails and text messages between calls. Participants completed baseline (N = 30) and follow-up (N = 26) surveys at the end of the intervention (36 weeks gestation), as well as follow-up phone interviews (N = 18). RESULTS: Among 30 participants, median age was 32 years (IQR: 28-33), median self-reported pre-pregnancy BMI was 27.3 kg/m2 (IQR: 25.7-31.1), and 17/30 were white, 9/30 African-American, and 3/30 Asian. Three-quarters (22/29) of participants completed at least a college degree. Although 25/30 participants reported in baseline surveys that they worried about being able to lose the weight postpartum that they expected to gain during pregnancy, just 12/26 participants reported the same at follow-up (P < 0.001). In follow-up surveys, 21/26 participants reported that health coaches were helpful in keeping them motivated, and 22/26 thought the phone conversations helped them face problems and find solutions. Based on qualitative assessment, several themes emerged in follow-up interviews about the quality of the intervention including accountability and support from health coaches. Participants also expressed desire for more visual resources and integration with standard clinical care to improve the intervention. CONCLUSIONS: We demonstrated feasibility and high participant satisfaction with our remote health coach intervention during pregnancy. We identified areas in which we could refine the intervention for inclusion in a full-scale RCT, such as integration with clinical care and additional visual resources. TRIAL REGISTRATION: Retrospectively registered at ClinicalTrials.gov ( NCT03080064 , 3/14/2017).

Compliance in 2017 With Federal Calorie Labeling in 90 Chain Restaurants and 10 Retail Food Outlets Prior to Required Implementation.

OBJECTIVES: To examine early compliance with the delayed federal calorie labeling regulation that requires posting calories on menus and menu boards at retail food chains with 20 or more establishments nationally. METHODS: We explored implementation of calorie labeling at 90 of the largest US chain restaurants and the 10 highest-grossing supermarket chains from May to December 2017. We contacted corporate offices and at least 2 locations for each chain, made site visits when possible, and supplemented these efforts with targeted Internet searches. RESULTS: Overall, 71 (79%) restaurant chains partially or fully implemented labeling, as did 9 (90%) supermarket chains. Fast-food and fast-casual restaurants fully implemented labeling at a modestly higher rate than did full-service restaurants. CONCLUSIONS: Most of the retail food chains we assessed implemented calorie labeling policies in advance of the May 2018 compliance date. Public Health Implications. Although implementation of federal calorie labeling has been delayed repeatedly in the 8 years since the passage of the legislation, retail food chains have demonstrated a high rate of compliance with calorie labeling in advance of the required May 2018 implementation date. Despite reports from some retail food industries that compliance will be difficult, current implementation shows the feasibility of complying.

Assessment of Child Anthropometry in a Large Epidemiologic Study.

A high proportion of children have overweight and obesity in the United States and other countries. Accurate assessment of anthropometry is essential to understand health effects of child growth and adiposity. Gold standard methods of measuring adiposity, such as dual X-ray absorptiometry (DXA), may not be feasible in large field studies. Research staff can, however, complete anthropometric measurements, such as body circumferences and skinfold measurements, using inexpensive portable equipment. In this protocol we detail how to obtain manual anthropometric measurements from children, including standing and sitting height, weight, waist circumference, hip circumference, mid-upper arm circumference, triceps skinfold thickness, and subscapular skinfold thickness, and procedures to assess the quality of these measurements. To demonstrate accuracy of these measurements, among 1,110 school-aged children in the pre-birth cohort Project Viva we calculated Spearman correlation coefficients comparing manual anthropometric measurements with a gold standard measure of body fat, DXA fat mass1. To address reliability, we evaluate intra-rater technical error of measurement at a quality control session conducted on adult female volunteers.