Biases in self-reported height and weight measurements and their effects on modeling health outcomes

Maternal Breast Growth and Body Mass Index Are Associated with Low Milk Production in Women

BACKGROUND

Maternal breast volume is determined by the quantity of glandular and adipose tissue, and it undergoes significant changes during pregnancy. These changes are intricately linked to the development of glandular tissue, which most likely reflects lactation capacity. Evidence indicates that women with overweight or obesity exhibit larger breast volume compared to those with a normal body mass index (BMI), emphasizing the close relationship between breast volume and maternal adiposity. Hence, we aim to investigate breast volume growth and maternal BMI as potential risk factors for low milk production.

METHODS

Lactating women (n = 609) from the Perth metropolitan area in Western Australia between 2011 and 2023 were included in the analysis. Twenty-four-hour milk production measurements were conducted using the test weighing method, and milk removal frequencies were recorded. Mothers completed questionnaires regarding demographic, obstetric and infant details. Linear and logistic regression models were used to determine maternal and infant factors associated with milk production.

RESULTS

Here we show that increasing maternal age and BMI are associated with low milk production. Moreover, larger pre-pregnancy breast volume and breast growth are associated with both higher BMI and milk production.

CONCLUSIONS

Women who are older, have an obese BMI and who have minimal pre-pregnancy breast volume and breast growth should be provided with antenatal screening and breastfeeding support as they are more likely to experience low milk production.

Association between Symptoms of Depression and Generalised Anxiety Disorder Evaluated through PHQ-9 and GAD-7 and Anti-Obesity Treatment in Polish Adult Women

Obesity impacts mental health greatly. Psychological factors may influence the effectiveness of its treatment. This study aimed to compare symptoms of generalised anxiety disorder and depression among adult women across different weight categories. The study sample comprised 1105 adult women. The computer-assisted web interview (CAWI) utilising the seven-item Generalised Anxiety Disorders Scale (GAD-7) and the nine-item Patient Health Questionnaire (PHQ-9) was used. Both GAD-7 and PHQ-9 scores correlated positively with BMI (r = 0.121, p < 0.001 and r = 0.173, p < 0.001, respectively) and negatively with age (r = -0.106, p < 0.001 and r = -0.103, p < 0.001, respectively). Patients undergoing treatment with semaglutide scored lower for both anxiety symptoms (8.71 ± 6.16, p = 0.013) and depression symptoms (9.76 ± 6.37, p = 0.013). Women who underwent bariatric surgery screened less frequently for anxiety (8.03 ± 6.27, p = 0.002) but not for depression. An interdisciplinary approach involving mental health professionals within the therapeutic team can comprehensively address factors contributing to obesity development and treatment outcomes. Further investigation of semaglutide's use is needed due to the promising evidence suggesting a positive effect on decreasing the severity of depression and anxiety symptoms to assess the direct or indirect character of this influence.

Validity of Measured vs. Self-Reported Weight and Height and Practical Considerations for Enhancing Reliability in Clinical and Epidemiological Studies: A Systematic Review

Self-reported measures of height and weight are often used in large epidemiological studies. However, concerns remain regarding the validity and reliability of these self-reported measures. The aim of this systematic review was to summarise and evaluate the comparative validity of measured and self-reported weight and height data and to recommend strategies to improve the reliability of self-reported-data collection across studies. This systematic review adopted the PRISMA guidelines. Four online sources, including PubMed, Medline, Google Scholar, and CINAHL, were utilised. A total of 17,800 articles were screened, and 10 studies were eligible to be included in the SLR based on the defined inclusion and exclusion criteria. The findings from the studies revealed good agreement between measured and self-reported weight and height based on intra-class correlation coefficient and Bland-Altman plots. Overall, measured weight and height had higher validity and reliability (ICC > 0.9; LOA < 1 SD). However, due to biases such as social pressure and self-esteem issues, women underreported their weight, while men overreported their height. In essence, self-reported measures remain valuable indicators to supplement the restricted direct anthropometric data, particularly in large-scale surveys. However, it is essential to address potential sources of bias.

The influence of early diet quality on the mental health of college students: the mediation effects of height and qi-deficiency

Background

In China, the prevalence of mental health issues among college students is a significant concern in society. This study aims to investigate the impact of early dietary quality on the psychological well-being of college students and elucidate the underlying mechanisms through which these effects occur, specifically focusing on height and qi-deficiency as mediators according to Chinese traditional medicine (CTM).

Methods

A total of 655 college students were surveyed in October 2023 using paper-pencil-based questionnaires at four second-tier universities in Sichuan Province. The assessment included mental health, height, and qi-deficiency. Pearson's correlation and linear regression analyses were employed to examine the mediation model and test the hypotheses.

Results

The college students exhibited acceptable levels of early diet quality (M = 3.72) and mental health (M = 3.63), while also presenting mild qi-deficiency symptoms (M = 2.25). Their average height was measured at 164.61 cm. Early diet quality demonstrated significant associations with mental health (r = 0.38, p < 0.01), height (r = 0.32, p < 0.01), and qi-deficiency (r = -0.32, p < 0.01). Mental health displayed correlations with height (r = 0.32, p < 0.01) and qi-deficiency (r = -0.49, p < 0.01). The results of linear regression analyses revealed significant associations between early diet quality and mental health (β = 0.31, p < 0.01), height (β = 0.21, p < 0.01), as well as qi-deficiency (β = -0.26, p < 0.01). Furthermore, when early diet quality was included in the regression model, both height (β = 0.21, p < 0.01) and qi-deficiency (β = -0.35, p < 0.01) emerged as significant mediators in the relationship with mental health.

Conclusion

The mediation model and hypotheses were strongly supported, demonstrating that early diet quality exerted an influence on the mental health of college students through two distinct pathways: height and qi-deficiency. Moreover, the mediating effect of qi-deficiency was found to be more pronounced than that of height in the relationship between early diet quality and mental health among college students.

Preventing liver disease with policy measures to tackle alcohol consumption and obesity: The HEPAHEALTH II study

BACKGROUND & AIMS

Chronic liver disease (CLD) causes 1.8% of all deaths in Europe, many of them from liver cancer. We estimated the impact of several policy interventions in France, the Netherlands, and Romania.

METHODS

We used a validated microsimulation model to assess seven different policy scenarios in 2022-2030: a minimum unit price (MUP) of alcohol of €0.70 or €1, a volumetric alcohol tax, a sugar-sweetened beverage (SSB) tax, food marketing restrictions, plus two different combinations of these policies compared against current policies (the 'inaction' scenario).

RESULTS

All policies reduced the burden of CLD and liver cancer. The largest impact was observed for a MUP of €1, which by 2030 would reduce the cumulative incidence of CLD by between 7.1% to 7.3% in France, the Netherlands, and Romania compared with inaction. For liver cancer, the corresponding reductions in cumulative incidence were between 4.8% to 5.8%. Implementing a package containing a MUP of €0.70, a volumetric alcohol tax, and an SSB tax would reduce the cumulative incidence of CLD by between 4.29% to 4.71% and of liver cancer by between 3.47% to 3.95% in France, the Netherlands, and Romania. The total predicted reduction in healthcare costs by 2030 was greatest with the €1 MUP scenario, with a reduction for liver cancer costs of €8.18M and €612.49M in the Netherlands and France, respectively.

CONCLUSIONS

Policy measures tackling primary risk factors for CLD and liver cancer, such as the implementation of a MUP of €1 and/or a MUP of €0.70 plus SSB tax could markedly reduce the number of Europeans with CLD or liver cancer.

IMPACT AND IMPLICATIONS

Policymakers must be aware that alcohol and obesity are the two leading risk factors for chronic liver disease and liver cancer in Europe and both are expected to increase in the future if no policy interventions are made. This study assessed the potential of different public health policy measures to mitigate the impact of alcohol consumption and obesity on the general population in three European countries: France, the Netherlands, and Romania. The findings support introducing a €1 minimum unit price for alcohol to reduce the burden of chronic liver disease. In addition, the study shows the importance of targeting multiple drivers of alcohol consumption and obesogenic products simultaneously via a harmonized fiscal policy framework, to complement efforts being made within health systems. These findings should encourage policymakers to introduce such policy measures across Europe to reduce the burden of liver disease. The modeling methods used in this study can assist in structuring similar modeling in other regions to expand on this study's findings.

The health and wellbeing of Australian social housing tenants compared to people living in other types of housing

BACKGROUND

Although social housing provides access to safe and affordable housing, recent studies have found that social housing tenants consistently have lower levels of health and well-being compared to other people. Given this, there is a need to examine multimorbidity for social housing tenants.

METHODS

Secondary data analysis of the 2017-18 Australian National Health Survey (n = 14,327) compared the health of adults residing in social housing compared to people in other housing types (private rentals, homeowners, and homeowners/mortgagees).

RESULTS

Most health factors examined were more prevalent in social housing tenants compared to those living in other housing types. Individual health problems identified as more highly prevalent in social housing tenants compared to all other housing types included mental health issues (43%), arthritis (36%), back problems (32%), hypertension (25%), asthma (22%) and COPD (11%). 24% of social housing tenants reported five or more health factors compared to 3-6% of people in other housing types.

CONCLUSIONS

Although these findings are not unexpected, they provide more detailed evidence that social housing providers and policy makers should consider when planning future initiatives.

How tall am I again? A longitudinal analysis of the reliability of self-reported height

Self-reported height measures are increasingly being included in large-scale surveys in order to measure BMI. There have been concerns about the validity of self-reported measures but there remains little understanding of why respondents may not give accurate height reports. We examine whether a lack of knowledge could be a contributing factor, by investigating the reliability of self-reported height over time and across countries. We use longitudinal data from four large-scale longitudinal surveys conducted in Australia, United States, United Kingdom, and Europe (14 countries) where survey respondents were asked to report their height over multiple time periods to measure the extent of consistency of height reports across time. The overall level of inconsistent reporting of height is largest in Australia and Europe. Individuals with lower levels of education were significantly more likely to give two height reports that differed by 5 cm or more. Across all countries, inconsistent reporting with large height differences between waves was also more common among those in older populations. The findings point to subgroups of the population exhibiting a lack of knowledge regarding their own height.

Menstrual cycle length variation by demographic characteristics from the Apple Women's Health Study

Menstrual characteristics are important signs of women's health. Here we examine the variation of menstrual cycle length by age, ethnicity, and body weight using 165,668 cycles from 12,608 participants in the US using mobile menstrual tracking apps. After adjusting for all covariates, mean menstrual cycle length is shorter with older age across all age groups until age 50 and then became longer for those age 50 and older. Menstrual cycles are on average 1.6 (95%CI: 1.2, 2.0) days longer for Asian and 0.7 (95%CI: 0.4, 1.0) days longer for Hispanic participants compared to white non-Hispanic participants. Participants with BMI ≥ 40 kg/m² have 1.5 (95%CI: 1.2, 1.8) days longer cycles compared to those with BMI between 18.5 and 25 kg/m². Cycle variability is the lowest among participants aged 35-39 but are considerably higher by 46% (95%CI: 43%, 48%) and 45% (95%CI: 41%, 49%) among those aged under 20 and between 45-49. Cycle variability increase by 200% (95%CI: 191%, 210%) among those aged above 50 compared to those in the 35-39 age group. Compared to white participants, those who are Asian and Hispanic have larger cycle variability. Participants with obesity also have higher cycle variability. Here we confirm previous observations of changes in menstrual cycle pattern with age across reproductive life span and report new evidence on the differences of menstrual variation by ethnicity and obesity status. Future studies should explore the underlying determinants of the variation in menstrual characteristics.

Prevalence of Overweight and Obesity in France: The 2020 Obepi-Roche Study by the "Ligue Contre l'Obésité"

Obepi-Roche 2020 by the "Ligue Contre l'Obésité" (League Against Obesity) estimated overweight and obesity prevalence in France. The adopted methodology was chosen to be as similar as possible to that of a series of quota-based surveys conducted every three years from 1997 to 2012 (Obepi-Roche studies). The 2020 survey was conducted online from 24th September to 5th October 2020 by the Odoxa polling institute on a sample of metropolitan French subjects aged 18 years or over. Participants (n = 9598) self-measured their height and weight according to detailed instructions. Prevalence estimates were produced for all categories of body mass index. The prevalence of excess weight was 47.3% (17.0% of subjects with obesity), with higher values in the north and east of France. When comparing these 2020 estimates to previous Obepi-Roche estimates in order to visualize trends since 1997, it appeared that overweight fluctuated around 30%, and obesity prevalence increased steadily at a rapid pace. The increase was even steeper in the youngest age groups and for severe and complex obesity. Given the slightly different methodologies between the 1997-2012 studies and the 2020 survey, the worrying trends in obesity prevalence since 1997 must be confirmed, calling for a reedition of the Obepi-Roche series.

Measurement accuracy and reliability of self-reported versus measured weight and height among adults in Malaysia: Findings from a nationwide blood pressure screening programme

Most studies reporting prevalence of obesity use actual weight and height measurements. Self-reported weight and height have been used in epidemiological studies as they have been shown to be reliable, convenient, and inexpensive alternatives to actual measurements. However, the accuracy of self-reported weight and height might vary in different regions because of the difference in health awareness and social influences. This study aims to determine the accuracy and reliability of self-reported weight and height compared to actual measured weight and height among adults in Malaysia. This was a cross-sectional study conducted at the community level during blood pressure screening campaigns. Participants self-reported their weight and height in a questionnaire survey. Their weight and height were validated using measurements by researchers on the same setting. Body mass index (BMI) was defined as underweight (<18.5kg/m2), normal (18.5-22.9 kg/m2), overweight (23-27.4 kg/m2) and obesity (≥27.5 kg/m2). Bland-Altman analysis, intraclass correlation coefficients and weighted Kappa statistics were used to assess the degree of agreement between self-reported and measured weight and height. A total of 2781 participants were recruited in this study. The difference between the mean self-reported and measured weight and height were 0.4 kg and 0.4 cm respectively. Weighted Kappa statistics analysis showed that there was a substantial agreement between the BMI classifications derived from self-reported and actual measurement (ҡ = 0.920, p<0.001). There was no marked difference in the sensitivity and specificity of self-reported BMI among Malaysian adults by gender. We observed substantial agreement between self-reported and measured body weight and height within a sample of Malaysian adults. While self-reported body weight showed weaker agreement with actual measurements particularly for obese and overweight individuals, BMI values derived from self-reported weight and height were accurate for 88.53% of the participants. We thus conclude that self-reported height and weight measures may be useful for tracking and estimating population trends amongst Malaysian adults.

Discrepancies in self-reported and measured anthropometric measurements and indices among older Australians: prevalence and correlates

Background

Anthropometric measurements and indices such as weight, height and Body Mass Index (BMI) are often used to assess overall health and nutritional status. Clinicians and epidemiologists often rely on self-reported weight and height to measure BMI. Differences between self-reported and measured weight and height can lead to differences between self-reported and measured BMI, biasing relative risks of diseases associated with differential BMI.

Methods

Applying regression analysis to a large nationally representative survey data with contemporaneous self-reports and measurements on 3412 individuals aged 65 or over, we provided estimates of the difference between self-reports and measurements of weight, height and BMI for older Australians, analysing demographic, socioeconomic and health correlates of estimated differences.

Results

We found both males and females underestimated weight, overestimated height and underestimated BMI and there was some evidence these differences increased with age. There was also evidence that these differences were associated with high levels of education and household composition.

Conclusion

Although average differences were small, for many individuals the differences may be significant, indicating measurements should be taken in clinically focused research and practice. This is important as systematic underestimation of BMI in older adults can have implications for estimating the size of populations at risk of many health conditions, including diabetes, hypertension and functional limitations.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-14326-y.

Using Mobile Video-Teleconferencing to Deliver Secondary Stroke Prevention Interventions: A Pilot Study

OBJECTIVES

Patient self-management support (SMS) interventions help stroke survivors control stroke risk factors and assist with secondary prevention. We examined utility and preliminary effectiveness of mobile video-teleconferencing (VT) to deliver SMS to stroke survivors in rural and low-income urban Texas communities.

METHODS

We applied a within-subjects design to assess improvement in self-management behaviors and stroke risk factors among stroke survivors receiving SMS intervention through mobile VT. Adults with stroke and two or more uncontrolled stroke risk factors were eligible. The SMS program, Video-teleconference-Self-management TO Prevent stroke (V-STOP) was delivered over 6 weeks by trained health coaches through VT. We applied Generalized Estimating Equations with site and time in intervention as covariates to evaluate psychological, social, physiological outcomes, self-management behaviors, and quality of life.

RESULTS

Mean age of 106 participants was 59.3 (±10.9); most were White, Hispanic men, living with someone, with low income. Approximately 69% completed all measures at 6 weeks. Median number of sessions attended was 5 (interquartile range 3) potentially avoiding 210 km of travel per person. Satisfaction with V-STOP and VT delivery was high, at (4.8 [±0.5]) and (4.7 [±0.5]), respectively. Stroke knowledge was improved from 8.8 (±1.0) at baseline to 9.6 (±0.7) at 12 weeks, (p < 0.0001). Improvements were observed in self-efficacy, exercise behaviors, depression and anxiety, disability, and quality of life.

CONCLUSION

Implementation of SMS is feasible and shows good utility and preliminary effectiveness of using mobile VT to provide stroke follow-up care to stroke survivors. Participants improved self-management behaviors and stroke risk factors.

Improving the accuracy of self-reported height and weight in surveys: an experimental study

Background

Many studies rely on self-reported height and weight. While a substantial body of literature exists on misreporting of height and weight, little exists on improving accuracy. The aim of this study was to determine, using an experimental design and a comparative approach, whether the accuracy of self-reported height and weight data can be increased by improving how these questions are asked in surveys, drawing on the relevant evidence from the psychology and survey research literatures.

Methods

Two surveys from two separate studies were used to test our hypotheses (Science Survey, n = 1,200; Eating Behaviours Survey, n = 200). Participants were randomly assigned to one of six conditions, four of which were designed to improve the accuracy of the self-reported height and weight data (“preamble”), and two of which served as the control conditions ( “no preamble”). Four hypotheses were tested: (H1) survey participants read a preamble prior to being asked their height and weight will report lower heights and higher weights than those not read a preamble; (H2) the impact of question-wording (i.e., preamble vs. no preamble) on self-reported weight will be greater for participants with higher BMIs; (H3) the impact of question-wording on height will be greater for older participants; (H4) either version of the weight question – standard or “weight-specific”—may result in participants reporting more accurate self-reported weight. One-way MANOVA was conducted to test Hypothesis 1; two-way analysis of variance were conducted to test Hypothesis 2; moderation analysis was used to test Hypothesis 3; independent samples t-test was conducted to test Hypothesis 4.

Results

None of the hypotheses was supported.

Conclusions

This paper provides an important starting point from which to inform further work exploring how question wording can improve self-reported measurement of height and weight. Future research should explore how question preambles may or may not operationalise hypothesised underlying mechanisms, the sensitivity or intrusiveness of height and weight questions, individual beliefs about one’s height and weight, and survey context.

Anthropometric, Lifestyle Characteristics, Adherence to the Mediterranean Diet, and COVID-19 Have a High Impact on the Greek Adolescents' Health-Related Quality of Life

OBJECTIVE

The study aimed at analyzing the relationship between anthropometric characteristics, lifestyle, and dietary habits, as well as the burden of the pandemic on the health-related quality of life among Greek pupils.

RESEARCH METHODS AND PROCEDURES

On the whole, 2088 adolescents aged 12-18 years from Attica, Greece, were enlisted in this school-based cross-sectional study that took place in May-December 2021. Health-related quality of life was estimated through the KIDSCREEN-27 questionnaire, adherence to the Mediterranean diet-through the KIDMED test. For the empirical and econometric analyses, the Mann-Whitney U and Kruskal-Wallis means comparison tests were utilized; multiple linear regression was used accordingly.

RESULTS

The present study provides evidence to the fact that boys, younger adolescents, adolescents living with both parents and with highly educated mothers had a better health-related quality of life. Concerning their eating practices, positive predictors were consuming a better-quality breakfast, having all five meals daily, consuming lunch and dinner with parents, and higher adherence to the Mediterranean diet. Moreover, sufficient night sleep time, fewer hours spent on screen viewing, more frequent walks, and having hobbies were linked to the health-related quality of life with a positive sign. In contrast, negative predictors were higher body mass index and everyday life difficulties due to the COVID-19 pandemic crisis.

CONCLUSIONS

Greek adolescents' anthropometric characteristics, BMI, lifestyle and sedentary habits, eating habits, and adherence to the Mediterranean diet were significantly related to their perceived health-related quality of life during the pandemic.

Proposal of an obesity classification based on weight history: an official document by the Brazilian Society of Endocrinology and Metabolism (SBEM) and the Brazilian Society for the Study of Obesity and Metabolic Syndrome (ABESO)

Obesity is a chronic disease associated with impaired physical and mental health. A widespread view in the treatment of obesity is that the goal is to normalize the individual's body mass index (BMI). However, a modest weight loss (usually above 5%) is already associated with clinical improvement, while weight losses of 10%-15% bring even further benefits, independent from the final BMI. The percentage of weight reduction is accepted as a treatment goal since a greater decrease in weight is frequently difficult to achieve due to metabolic adaptation along with environmental and lifestyle factors. In this document, the Brazilian Society of Endocrinology and Metabolism (SBEM) and the Brazilian Society for the Study of Obesity and Metabolic Syndrome (ABESO) propose a new obesity classification based on the maximum weight attained in life (MWAL). In this classification, individuals losing a specific proportion of weight are classified as having "reduced" or "controlled" obesity. This simple classification - which is not intended to replace others but to serve as an adjuvant tool - could help disseminate the concept of clinical benefits derived from modest weight loss, allowing individuals with obesity and their health care professionals to focus on strategies for weight maintenance instead of further weight reduction. In future studies, this proposed classification can also be an important tool to evaluate possible differences in therapeutic outcomes between individuals with similar BMIs but different weight trajectories.

Reliability and Validity of an Ultrasonic Device for Measuring Height in Adults

BACKGROUND

The ultrasonic stadiometer was originally developed as a device to measure and monitor children's height. However, an ultrasonic stadiometer (InLab S50; InBody Co., Seoul, Korea) was used to measure adults' height in the 2018 Korea Community Health Survey (KCHS). This study was conducted to assess the reliability and validity of the InLab S50 in adults.

METHODS

The study subjects were 120 adults (reliability test, n=20; validity test, n=100) who had visited a health screening center. The intra- and inter-rater reliabilities of InLab S50 were assessed using the intraclass correlation coefficient (ICC). The agreement between InLab S50 and an automatic stadiometer (HM-201; Fanics, Busan, Korea) was assessed using Pearson's correlation coefficient and Bland-Altman analysis.

RESULTS

The intra- and inter-rater reliabilities of the InLab S50 were excellent (ICC=0.9999 and 0.9998, respectively). The correlation coefficient of the height measured by the two measurement devices was very high (r=0.996). The difference (Δheight [HM-201-InLab S50]) was -0.15±0.78 cm (95% limit of agreement [LOA], -1.69 to 1.38). After excluding the values outside 95% LOA, the difference was further reduced to -0.05±0.59 cm (95% LOA, -1.20 to 1.10).

CONCLUSION

This study showed that the InLab S50 is a reliable and valid device for the measurement of adults' height. Therefore, we think that InLab S50 could be used to measure adults' height in household health surveys such as the KCHS.

Making the leap from healthy to disordered eating: the role of intuitive and inflexible eating attitudes in orthorexic behaviours among women

PURPOSE

Orthorexia Nervosa (ON) has been a research focus in recent years. Despite the lack of consensus on its definition and classification as a psychiatric disorder, research has shown that ON is linked to certain behaviours (orthorexic behaviours, e.g.: obsessive thinking and compulsive behavior, guilt and self-punishment, restriction), associated with disordered eating. However, very little is known about this relationship. The aim of this study was to explore the eating-related processes inherent to the relationship between orthorexic behaviours and disordered eating, and understand if it is through the adoption of a more inflexible and less intuitive eating approach, that an interest in healthy eating develops into a pathological one, while controlling the effect of age and BMI. Additionally, this relationship was explored for two different groups: Omnivores and Non-omnivores.

METHODS

Four hundred fifty-one women (281 Omnivores and 170 Non-omnivores) from the Portuguese population participated in this study, by answering a set of self-report measures.

RESULTS

Non-omnivores presented significant higher levels of orthorexic behaviours and inflexible eating. In both groups, orthorexic behaviours and disordered eating were linked positively to inflexible eating and negatively to intuitive eating. A path model analyses showed that the preferred eating approach mediated the relationship between orthorexic behaviours and disordered eating, explaining 51% of the variance of disordered eating. A multigroup analysis confirmed the model invariance between Omnivores and Non-omnivores.

CONCLUSIONS

Our findings contribute to the better understanding of the relationship between orthorexic behaviours and disordered eating and its eating-related processes. Future research regarding the clinical intervention and prevention of ON in women should focus on encouraging a more intuitive eating approach.

LEVEL OF EVIDENCE

IV, cross-sectional study.

A qualitative study of cognitive, behavioral, and environmental influences on Hispanic mothers' early childhood feeding practices

Young children's lifestyle behaviors are largely shaped by their parents. There are socioeconomic risk factors particular to Hispanic populations that influence the way parents feed their children. As obesity continues to be a public health issue with substantial inequities across race and ethnicity, it is critical to understand Hispanic parents' food choices and feeding practices. The objective of this qualitative study is to identify the behavioral, environmental, and cognitive factors that influence the parental food choices and feeding behaviors of Hispanic mothers of children ages 0-5 years. Snowball sampling was used to recruit participants from the community (n = 30) who were 1) female; 2) Hispanic; 3) over the age of 18; and 4) a mother to child(ren) between the ages zero and five. Each interview consisted of a brief demographic survey and a set of open-ended questions based on Social Cognitive Theory constructs. A thematic analysis using a combined deductive and inductive approach was used to analyze transcriptions. Results indicated that mothers' attitudes around breastfeeding were connected with their challenges, while their attitudes around solid foods were expressed in their feeding strategies. Mothers used strategies of modeling, repeated exposure, and practices of "sneaking" in healthy foods and bribing to promote healthy eating. Mothers were most likely to seek out information from (1) pediatricians, (2) female family members, and (3) the internet. Hispanic mothers actively seek out information from many different sources that impact how they feed their young children. Understanding their trusted sources and how it influences the SCT constructs is an important step in preventing early childhood obesity.

Sociodemographic differences in self-reported exposure to high fat, salt and sugar food and drink advertising: a cross-sectional analysis of 2019 UK panel data

OBJECTIVES

To explore sociodemographic differences in exposure to advertising for foods and drinks high in fat, salt and sugar (HFSS) and whether exposure is associated with body mass index (BMI).

DESIGN

Cross-sectional survey.

SETTING

UK.

PARTICIPANTS

1552 adults recruited to the Kantar Fast Moving Consumer Goods panel for London and the North of England.

OUTCOME MEASURES

Self-reported advertising exposure stratified by product/service advertised (processed HFSS foods; sugary drinks; sugary cereals; sweet snacks; fast food or digital food delivery services) and advertising setting (traditional; digital; recreational; functional or transport); BMI and sociodemographic characteristics.

RESULTS

Overall, 84.7% of participants reported exposure to HFSS advertising in the past 7 days. Participants in the middle (vs high) socioeconomic group had higher odds of overall self-reported exposure (OR 1.48; 95% CI 1.06 to 2.07). Participants in the low (vs high) socioeconomic group had higher odds of reporting exposure to advertising for three of five product categories (ORs ranging from 1.41 to 1.67), advertising for digital food delivery services (OR 1.47; 95% CI 1.05 to 2.05), traditional advertising (OR 1.44; 95% CI 1.00 to 2.08) and digital advertising (OR 1.50; 95% CI 1.06 to 2.14). Younger adults (18-34 years vs ≥65 years) had higher odds of reporting exposure to advertising for digital food delivery services (OR 2.08; 95% CI 1.20 to 3.59), digital advertising (OR 3.93; 95% CI 2.18 to 7.08) and advertising across transport networks (OR 1.96; 95% CI 1.11 to 3.48). Exposure to advertising for digital food delivery services (OR 1.40; 95% CI 1.05 to 1.88), digital advertising (OR 1.80; 95% CI 1.33 to 2.44) and advertising in recreational environments (OR 1.46; 95% CI 1.02 to 2.09) was associated with increased odds of obesity.

CONCLUSIONS

Exposure to less healthy product advertising was prevalent, with adults in lower socioeconomic groups and younger adults more likely to report exposure. Broader restrictions may be needed to reduce sociodemographic differences in exposure to less healthy product advertising.

The Hispanic paradox in the prevalence of obesity at the county-level

Objective

The percentage of Hispanics in a county has a negative association with prevalence of obesity. Because Hispanic individuals are unevenly distributed in the United States, this study examined whether this protective association persists when stratifying counties into quartiles based on the size of the Hispanic population and after adjusting for county‐level demographic, socioeconomic, healthcare, and environmental factors.

Methods

Data were extracted from the 2018 Robert Wood Johnson Foundation County Health Rankings. Counties were categorized into quartiles based on their percentage of Hispanics, 0%–5% (n = 1794), 5%–20% (n = 962), 20%–50% (n = 283), and >50% (n = 99). For each quartile, univariate and multivariate regression models were used to evaluate the association between prevalence of obesity and demographic, socioeconomic, healthcare, and environmental factors.

Results

Counties with the top quartile of Hispanic individuals had the lowest prevalence of obesity compared to counties at the bottom quartile (28.4 ± 3.6% vs. 32.7 ± 4.0%). There was a negative association between county‐level percentage of Hispanics and prevalence of obesity in unadjusted analyses that persisted after adjusting for all county‐level factors.

Conclusions

Counties with a higher percentage of Hispanics have lower levels of obesity, even after controlling for demographic, socioeconomic, healthcare, and environmental factors. More research is needed to elucidate why having more Hispanics in a county may be protective against county‐level obesity.

Validity of Recreational Marathon Runners' Self-Reported Anthropometric Data

While studies on large samples of recreational runners have often relied on participants' self-reported height and body mass, the validity of these data have not been investigated for this population. Hence, this study sought to examine the validity of self-reported anthropometric measures among recreational marathon runners. Female (n = 32) and male (n = 135) recreational marathon runners were requested to estimate their body mass and height (and we calculated their self-reported body mass index [BMI]), after which we took actual measures of their body mass and height and calculated their actual BMI. Participants' self-reported values underestimated their actual body mass by 0.65 kg (p < .001, η² = 0.222) and their actual BMI by 0.35 kg ⋅ m^-2 (p < .001, η² = 0.245). There was a significant Assessment Method × Sex Interaction for both body mass (p = .019, η² = 0.033) and BMI (p = .017, η² = 0.034), as women underestimated body mass values more than men. Participants overestimated their height by 0.44 cm (p < .001, η² = 0.075), but the interaction of sex and assessment method for height was not statistically significant. Underestimates of body mass correlated with marathon racing speed (r = .24, p = .006) and body fat percentage (r = -.29, p = .001) in men, but not in women (p > .05). The disagreement between self-reported and measured anthropometric data in the present sample was lower than has been previously reported for the general population, suggesting that marathon runners may more accurately self-perceive and/or report their anthropometric characteristics. These findings are of practical value for health professionals and researchers (e.g., nutritionists and exercise physiologists) questionnaires to recreational marathon runners.

Beyond recent BMI: BMI exposure metrics and their relationship to health

Body mass index (BMI) is generally used to classify adiposity. Despite the fact that the consequences of adiposity for chronic health accumulate and manifest over time, most population health research exploring the implications of high BMI measures only its recent intensity. Some studies have used retrospective measures involving maximum weight, and even fewer have used BMI at multiple time points to estimate cumulative exposure to adiposity. The goal of this study was to compare BMI exposure metrics that captured different dimensions of body mass – intensity, history, and duration – in models of health indicators linked with adiposity. We used self-reported BMI of young adults (ages 18 – 33 years, n = 8,608) across 11 waves of data from the National Longitudinal Survey of Youth 1997 to evaluate eight BMI exposure metrics: most recent, maximum, mean, and median BMI, proportion of time with overweight/obesity, and excess BMI-years with overweight/obesity. We used these metrics in models of self-reported general health, chronic condition, and diabetes, and ascertained how most recent BMI performed when compared with other metrics that better capture the dynamics of BMI. The Akaike information criteria and Vuong tests were used for model comparison, and the strengths of associations were also compared. Most recent BMI was the best metric for explaining general health. Median BMI was best for explaining diabetes, with most recent BMI under-estimating the association by 13% relative to median BMI. For chronic condition, there was no clear best metric. We concluded that most recent BMI is useful for explaining health outcomes, though other metrics should also be given consideration, particularly for conditions that develop over time. Metrics that accounted for both intensity and history performed quite well, but the duration measures might be less useful.

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BMI is dynamic, so researchers need to consider beyond BMI at the time of survey.

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We calculated 8 BMI-based metrics accounting for intensity, history, and duration.

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Most recent BMI was the best metric, based on AIC, for explaining general health.

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Most recent BMI understated the association for diabetes, relative to median BMI.