Underreporting of BMI in adults and its effect on obesity prevalence estimations in the period 1998 to 2001

Agreement between parent-report and EMR height, weight, and BMI among rural children

Introduction

Remote anthropometric surveillance has emerged as a strategy to accommodate lapses in growth monitoring for pediatricians during coronavirus disease 2019 (COVID-19). The purpose of this investigation was to validate parent-reported anthropometry and inform acceptable remote measurement practices among rural, preschool-aged children.

Methods

Parent-reported height, weight, body mass index (BMI), BMI z-score, and BMI percentile for their child were collected through surveys with the assessment of their source of home measure. Objective measures were collected by clinic staff at the child's well-child visit (WCV). Agreement was assessed using correlations, alongside an exploration of the time gap (TG) between parent-report and WCV to moderate agreement. Using parent- and objectively reported BMI z-scores, weight classification agreement was evaluated. Correction equations were applied to parent-reported anthropometrics.

Results

A total of 55 subjects were included in this study. Significant differences were observed between parent- and objectively reported weight in the overall group (-0.24 kg; p = 0.05), as well as height (-1.8 cm; p = 0.01) and BMI (0.4 kg/m2; p = 0.02) in the ≤7d TG + Direct group. Parental reporting of child anthropometry ≤7d from their WCV with direct measurements yielded the strongest correlations [r = 0.99 (weight), r = 0.95 (height), r = 0.82 (BMI), r = 0.71 (BMIz), and r = 0.68 (BMI percentile)] and greatest classification agreement among all metrics [91.67% (weight), 54.17% (height), 83.33% (BMI), 91.67% (BMIz), and 33.33% (BMI percentile)]. Corrections did not remarkably improve correlations.

Discussion

Remote pediatric anthropometry is a valid supplement for clinical assessment, conditional on direct measurement within 7 days. In rural populations where socioenvironmental barriers exist to care and surveillance, we highlight the utility of telemedicine for providers and researchers.

Traffic noise in the bedroom in association with markers of obesity: a cross-sectional study and mediation analysis of the respiratory health in Northern Europe cohort

BACKGROUND

Previous research suggests an association between road traffic noise and obesity, but current evidence is inconclusive. The aim of this study was to assess the association between nocturnal noise exposure and markers of obesity and to assess whether sleep disturbance might be a mediator in this association.

METHODS

We applied data from the Respiratory Health in Northern Europe (RHINE) cohort. We used self-measured waist circumference (WC) and body mass index (BMI) as outcome values. Noise exposure was assessed as perceived traffic noise in the bedroom and/or the bedroom window's location towards the street. We applied adjusted linear, and logistic regression models, evaluated effect modifications and conducted mediation analysis.

RESULTS

Based on fully adjusted models we found that women, who reported very high traffic noise levels in bedroom, had 1.30 (95% CI 0.24-2.37) kg/m² higher BMI and 3.30 (95% CI 0.39-6.20) cm higher WC compared to women, who reported no traffic noise in the bedroom. Women who reported higher exposure to road traffic noise had statistically significant higher odds of being overweight and have abdominal obesity with OR varying from 1.15 to 1.26 compared to women, who reported no traffic noise in the bedroom. For men, the associations were rather opposite, although mostly statistically insignificant. Furthermore, men, who reported much or very much traffic noise in the bedroom, had a statistically significantly lower risk of abdominal obesity. Sleep disturbance fully or partially mediated the association between noise in bedroom and obesity markers among women.

CONCLUSION

Our results suggest that self-reported traffic noise in the bedroom may be associated to being overweight or obese trough sleep disturbance among women, but associations were inconclusive among men.

Using random-forest multiple imputation to address bias of self-reported anthropometric measures, hypertension and hypercholesterolemia in the Belgian health interview survey

BACKGROUND

In many countries, the prevalence of non-communicable diseases risk factors is commonly assessed through self-reported information from health interview surveys. It has been shown, however, that self-reported instead of objective data lead to an underestimation of the prevalence of obesity, hypertension and hypercholesterolemia. This study aimed to assess the agreement between self-reported and measured height, weight, hypertension and hypercholesterolemia and to identify an adequate approach for valid measurement error correction.

METHODS

Nine thousand four hundred thirty-nine participants of the 2018 Belgian health interview survey (BHIS) older than 18 years, of which 1184 participated in the 2018 Belgian health examination survey (BELHES), were included in the analysis. Regression calibration was compared with multiple imputation by chained equations based on parametric and non-parametric techniques.

RESULTS

This study confirmed the underestimation of risk factor prevalence based on self-reported data. With both regression calibration and multiple imputation, adjusted estimation of these variables in the BHIS allowed to generate national prevalence estimates that were closer to their BELHES clinical counterparts. For overweight, obesity and hypertension, all methods provided smaller standard errors than those obtained with clinical data. However, for hypercholesterolemia, for which the regression model's accuracy was poor, multiple imputation was the only approach which provided smaller standard errors than those based on clinical data.

CONCLUSIONS

The random-forest multiple imputation proves to be the method of choice to correct the bias related to self-reported data in the BHIS. This method is particularly useful to enable improved secondary analysis of self-reported data by using information included in the BELHES. Whenever feasible, combined information from HIS and objective measurements should be used in risk factor monitoring.

Fast food consumption in adults living in Canada: alternative measurement methods, consumption choices, and correlates

Global industries and technological advancements have contributed to the proliferation of fast food (FF) establishments and ultraprocessed food, associated with poorer diet quality and health outcomes. To investigate FF as an indicator, we compared alternative methods to capture self-reported FF consumption and examined associated socio-demographic factors. We conducted a secondary analysis of the 2014-2015 Foodbook study, a cross-sectional survey on foods consumed by Canadians during the previous week. An embedded randomized design compared alternative FF intake questions of varying details. A total of 6062 participants aged 18+ were included, representing 24.7 million Canadian adults. Approximately 48% consumed FF in the past week, and of FF consumers, average frequency was twice. Asking broadly about FF intake without examples resulted in significantly lower reported FF intake compared with the two more detailed questions; the latter two were not significantly different. Burgers, pizza, and submarines/sandwiches were most commonly consumed. Men, younger age, higher BMI, women in central Canada (versus territorial regions), and men with income $30 000-$80 000 (versus >$80 000) were associated with higher FF consumption. Consumption of FF is common among Canadians; some associated factors are gender-specific. Further research examining FF as an indicator, and individual and societal implications of FF consumption, is recommended to inform programs and policies.

Does the use of prediction equations to correct self-reported height and weight improve obesity prevalence estimates? A pooled cross-sectional analysis of Health Survey for England data

OBJECTIVE

Adults typically overestimate height and underestimate weight compared with directly measured values, and such misreporting varies by sociodemographic and health-related factors. Using self-reported and interviewer-measured height and weight, collected from the same participants, we aimed to develop a set of prediction equations to correct bias in self-reported height and weight and assess whether this adjustment improved the accuracy of obesity prevalence estimates relative to those based only on self-report.

DESIGN

Population-based cross-sectional study.

PARTICIPANTS

38 940 participants aged 16+ (Health Survey for England 2011-2016) with non-missing self-reported and interviewer-measured height and weight.

MAIN OUTCOME MEASURES

Comparisons between self-reported, interviewer-measured (gold standard) and corrected (based on prediction equations) body mass index (BMI: kg/m²) including (1) difference between means and obesity prevalence and (2) measures of agreement for BMI classification.

RESULTS

On average, men overestimated height more than women (1.6 cm and 1.0 cm, respectively; p<0.001), while women underestimated weight more than men (2.1 kg and 1.5 kg, respectively; p<0.001). Underestimation of BMI was slightly larger for women than for men (1.1 kg/m² and 1.0 kg/m², respectively; p<0.001). Obesity prevalence based on BMI from self-report was 6.8 and 6.0 percentage points (pp) lower than that estimated using measured BMI for men and women, respectively. Corrected BMI (based on models containing all significant predictors of misreporting of height and weight) lowered underestimation of obesity to 0.8pp in both sexes and improved the sensitivity of obesity over self-reported BMI by 15.0pp for men and 12.2pp for women. Results based on simpler models using age alone as a predictor of misreporting were similar.

CONCLUSIONS

Compared with self-reported data, applying prediction equations improved the accuracy of obesity prevalence estimates and increased sensitivity of being classified as obese. Including additional sociodemographic variables did not improve obesity classification enough to justify the added complexity of including them in prediction equations.

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.

Perception of School Committee Members (SCMs) on Factors Contributing to Overweight and Obesity Among High School Students in Kiribati: A Qualitative Study

Background

Schools are vital settings for overweight and obesity prevention among children and adolescents. School Committee Members (SCMs) are crucial assets to engaging students with overweight and obesity prevention programs. This study aimed to determine factors contributing to overweight and obesity among high school students in Kiribati through the perception of SCMs.

Methods

This prospective qualitative study was conducted in four randomly selected senior high schools in South Tarawa, Kiribati, from August to November 2020. With a purposive selection of 20 SCMs employed at the four high schools, both male and female participants consented to participate in the study. A semi-structured open-ended questionnaire was used for data collection using focus group discussions (FGDs). Data were transcribed and analyzed using the thematic analysis method.

Results

Twenty participants were involved in FGDs with equal number of SCMs (n = 5) who attended FGDs for each school and 45% of them were female participants. Six themes were identified, namely, knowledge, behaviors, perceived status toward overweight and obesity, perceived action benefits, perceived barriers to practices, and proposed strategies to overweight and obesity prevention. These themes reveal that SCMs have a broad understanding and skill set for overweight and obesity causes and effects. However, the aptitude alone is not enough to prevent the occurrence, and thus, proposed feasible plans were voiced for responsible stakeholders to include in policy developments for overweight and obesity prevention.

Conclusion

This study recognized that the knowledge-behavior gap is the main reason behind the failure in preventative strategic approaches among adolescents. As role models to students, SCMs and their schools should team up in implementing the public health policies and building mutual awareness and understanding with students and other specialist stakeholders for a more momentous and viable impact.

Gender and Emotional Representation Matter: Own Illness Beliefs and Their Relationship to Obesity

Background

Current treatments of obesity often fail to consider gender and psychological aspects, which are essential for weight loss and weight maintenance. The aim of our study was to analyze subjective illness representations (SIRs) of adults with obesity according to the Common-Sense Self-Regulation Model (CSM) by assessing their associations with weight-related variables and gender.

Methods

Data was collected via online self-assessment between April 2017 and March 2018. SIRs were operationalized by the revised Illness Perception Questionnaire (IPQ-R) and illness outcomes according to the CSM were defined as BMI, eating behaviour, physical wellbeing, bodyweight satisfaction, and shape concerns. The sample consisted of 427 adults (M = 42.2 years, SD = 10.9; 82% female) with obesity (BMI: M = 42.3 kg/m², SD = 9.0). Student's t-tests and multiple hierarchical regression analyses were conducted with the control variables (age and BMI) and subjective illness representations and gender as independent variables.

Results

The explanation of outcome variances was moderate to high (21-43%) except for restraint eating behaviour (10%). Subjective illness representations showed several significant associations with weight-related variables, especially timeline and emotional representations. Female gender was significantly associated with more restraint eating behaviour [F_{(1, 400)} = 4.19, p < 0.001] and females had unfavourable values of the weight-related variables as well as a more cyclic [t₍₄₂₅₎ = 3.68, p < 0.001], and more emotional representation [t₍₁₀₀₎ = 5.17, p < 0.001] of their obesity.

Conclusion

The results of this study indicate that gender and subjective illness representations, especially the emotional representation, play an important role for weight-related variables. Therefore, the assessment of SIRs may constitute an economic tool to identify specific individual deficits of self-regulation.

Thriving or surviving: staff health metrics and lifestyle behaviours within an Irish higher education setting

Purpose

Due to the international paucity of empirical evidence, this study aimed to investigate the health metrics and lifestyle behaviours of a staff cohort in a higher education institution (HEI) in Ireland.

Design/methodology/approach

Data were collected from 279 (16.4% response rate) HEI staff (academic, management, clerical/support), via a web-based health questionnaire that incorporated validated measures such as the Mental Health Index-5, Energy and Vitality Index, Cohen's Perceived Stress Scale (short form) and the AUDIT-C drinking subscale. A cluster analytical procedure was used to examine the presence of distinct clusters of individuals exhibiting either optimal or sub-optimal health behaviours.

Findings

A multitude of concerning patterns were identified including poor anthropometric profiles (64.4% of males overweight/obese), excessive occupational sitting time (67.8% of females sitting for = 4 h per day), hazardous drinking among younger staff (38.2% of 18–34 year olds), sub-optimal sleep duration on weeknights (82.2% less than 8 h), less favourable mean psychometric indices than the general Irish population, and insufficient fruit and vegetable intake (62.1% reporting <5 daily servings). Cluster analysis revealed “Healthy lifestyle” individuals exhibited significantly lower BMI values, lower stress levels and reported fewer days absent from work compared to those with a “Sub-optimal lifestyle”.

Originality/value

In contrast to the abundance of research pertaining to student cohorts, the current study is the first to examine the clustering of health-related variables in a cohort of HEI staff in Ireland. Findings will be used to inform policy at the host institution and will be of broader interest to higher education stakeholders elsewhere. Future longitudinal studies are required to monitor the health challenges experienced by this influential, yet under-researched cohort.

Maternal prepregnancy BMI and physical activity and type 1 diabetes in the offspring

BACKGROUND

Previous studies showed conflicting results on the association between maternal prepregnancy body mass index (BMI) and type 1 diabetes in the offspring, and the role of maternal prepregnancy physical activity is unclear. We aimed to assess whether maternal prepregnancy BMI and physical activity predict type 1 diabetes in their offspring.

METHODS

Prospective study including women participating in the Nurses' Health Study II with follow-up from 1989 to 2011. Women repeatedly reported their BMI and physical activity, from which prepregnancy exposures were derived; and retrospectively reported their BMI at age 18 and physical activity at ages 18-22, considered early adulthood exposure. We estimated risk ratios (RR) and 95% confidence intervals (95%CI) using generalized estimating equations, adjusted for covariates. Findings at p < 0.05 were considered statistically significant.

RESULTS

We identified 276 cases of type 1 diabetes among offspring (n = 70,168) with maternal prepregnancy information and 448 cases among offspring (n = 111,692) with maternal early adulthood information. Prepregnancy and early adulthood maternal BMI and physical activity were not associated with offspring type 1 diabetes. The RR comparing overweight to normal weight mothers was 1.08 (95%CI: 0.73-1.59) and comparing obese to normal weight was 0.94 (95%CI: 0.49-1.79, p-trend: 0.98). Comparing highest to lowest quartile of maternal physical activity the RR was 0.90 (95%CI: 0.61-1.32; p-trend: 0.73). Maternal type 2 diabetes was associated with an increased risk of type 1 diabetes in the offspring (RR = 1.87; 95%CI: 1.25-2.80).

CONCLUSIONS

Our findings do not support a relationship between maternal prepregnancy BMI or physical activity and the risk of type 1 diabetes in the offspring.

Reference values and regression equations for predicting the 6-minute walk distance in Saudi adults aged 50-80 years: A cross- sectional study

BACKGROUND

The 6-minute walk test (6-MWT) is commonly used to measure functional capacity in clinical and research settings. The reference equations for predicting the 6-minute walk distance (6-MWD) in different populations have been established; however, there is a lack of information regarding healthy Saudi individuals over 50 years old.

OBJECTIVES

This study aimed to establish the reference values of 6-MWD in a sample of healthy Saudi adults aged 50-80 years, develop regression equations for the established 6-MWD, and compare the measured 6-MWD in the present study with the predicted 6-MWD derived from the previously published regression equations.

METHODS

In total, 210 healthy Saudi volunteers aged 50-80 years participated in this cross-sectional study. The 6-MWT was performed according to the American Thoracic Society (ATS) guidelines. Lung function, physical activity, blood pressure, heart rate, oxygen saturation, exertion level of leg fatigue, and sensation of dyspnea were measured.

RESULTS

The mean 6-MWD was 396.2 ± 69.4 m. It was significantly correlated with age, sex, height, body mass index (BMI), and physical activity. The predictors of 6-MWD were age and BMI for men, while they were age, BMI, and height for women. They accounted for 25% and 35% of the total variance of 6-MWD for men and women, respectively. The measured 6-MWD was significantly shorter than the predicted 6-MWD.

CONCLUSION

Saudi populations have significantly shorter 6-MWDs than those reported in other ethnic groups. The sex-specific equations developed in this study are expected to provide a useful measure of 6-MWT for Saudi adults. However, further investigation is required to validate the application of these equations to individuals living in different regions of Saudi Arabia.

BMI and dissatisfaction with life: contextual factors and socioemotional costs of obesity

Purpose

In this study, we investigate whether individuals’ BMI categories are associated with being dissatisfied with one’s life, how this association is affected by the social comparison that individuals make, and what the role of the overall BMI levels in this process is.

Methods

We use data for 21,577 men and 27,415 women, collected in 2016 by the European Bank for Reconstruction and Development, from 34 countries in Europe, the Middle East, and Central Asia. To understand the moderating effect of contextual environment, we use multilevel mixed effect logistic regression models and data for national, regional, and cohort-specific BMI levels.

Result

We find that the association of BMI and dissatisfaction with life differs by gender, with overweight men being less likely to be dissatisfied with life than men with normal weight and obese women being more likely to be dissatisfied with life compared to women with normal weight. For contextual effects, we find that obese women in regions with low BMI levels are more likely to be dissatisfied with life. The effect of obesity on female life dissatisfaction is not observed in regions with high BMI levels. As for men, regional BMI levels affect the levels of life dissatisfaction but only for underweight men.

Conclusions

Our study adds additional nuance to the quality-of-life research by showing that the association between BMI and decreased life satisfaction is, at least partially, moderated by the contextual environment, and that the character of these effects differs by gender.

Supplementary Information

The online version contains supplementary material available at 10.1007/s11136-021-02912-3.

Associations of Lifestyle and Anthropometric Factors With the Risk of Herpes Zoster: A Nationwide Population-Based Cohort Study

The role of lifestyle in development of herpes zoster remains unclear. We examined whether smoking status, alcohol consumption, body mass index, or physical activity were associated with zoster risk. We followed a population-based cohort of 101,894 respondents to the 2010 Danish National Health Survey (baseline, May 1, 2010) until zoster diagnosis, death, emigration, or July 1, 2014, whichever occurred first. We computed hazard ratios for zoster associated with each exposure, using Cox regression with age as the time scale and adjusting for potential confounders. Compared with never smokers, hazards for zoster were increased in former smokers (1.17, 95% confidence interval (CI): 1.06, 1.30), but not in current smokers (1.00, 95% CI: 0.89, 1.13). Compared with low-risk alcohol consumption, neither intermediate-risk (0.95, 95% CI: 0.84, 1.07) nor high-risk alcohol consumption (0.99, 95% CI: 0.85, 1.15) was associated with zoster. We also found no increased hazard associated with weekly binge drinking versus not (0.93, 95% CI: 0.77, 1.11). Risk of zoster varied little by body mass index (referent = normal weight) and physical activity levels (referent = light level), with hazard ratios between 0.96 and 1.08. We observed no dose-response association between the exposures and zoster. The examined lifestyle and anthropometric factors thus were not risk factors for zoster.

Leading Factors for Weight Gain during COVID-19 Lockdown in a Spanish Population: A Cross-Sectional Study

The increase in sedentary behaviors during the COVID-19-induced lockdown may have led to a significant weight gain. To investigate this hypothesis, a representative sample of the Spanish adult population comprising 1000 subjects was enrolled in a cross-sectional study between 26 May and 10 June 2020. Computer-assisted telephone interviews were conducted consisting of 29 questions on the topic of lifestyle habits during the lockdown. The cohort comprised 51.5% women and 51% overweight or obese subjects and had a mean age of 50 ± 18 years. Of the respondents, 44.5% self-reported weight gain during the lockdown; of these, 58.0% were women, 69.9% had previous excess weight, 44.7% lived with a relative who also gained weight, and 73.5 experienced increased appetite. Further, an increased consumption of energy-dense products was found relative to respondents who did not gain weight (p ≤ 0.016 for all). Additionally, respondents were unaware that obesity is a poor prognostic factor for COVID-19 infection, lived in smaller flats, and had a lower level of education and lower monthly income. The factors independently associated with weight gain were female gender, previous overweight or obesity, lack of food care, increased appetite, and increased consumption of sugar-sweetened beverages, alcoholic beverages, and snacks (p ≤ 0.023 for all). Should another lockdown be mandated, extra caution is warranted to prevent weight gain.

Food insecurity among Canadian youth and young adults: insights from the Canada Food Study

OBJECTIVE

This study explored associations between socio-demographic characteristics, self-reported health, and household food security among young adults.

METHODS

National cohort study participants from Toronto, Montreal, Vancouver, Edmonton, and Halifax, Canada, aged 16-30 years (n = 2149) completed online surveys. Multinomial logistic regression, weighted to reflect age and sex proportions from the 2016 census, was conducted to examine associations between food security status and covariates.

RESULTS

Almost 30% of respondents lived in food-insecure households, with 19% in "moderately" food-insecure and 10% in "severely" food-insecure households. Respondents identifying as Black or Indigenous were more likely to live in moderately (AOR = 1.96, CI: 1.10, 3.50; AOR = 3.15, CI: 1.60, 6.20) and severely (AOR = 4.25, CI: 2.07, 8.74; AOR = 6.34, CI: 2.81, 14.30) food-insecure households compared with those identifying as mixed/other ethnicity. Respondents who found it "very difficult" to make ends meet were more likely to be moderately (AOR = 20.37, CI: 11.07, 37.46) and severely (AOR = 101.33, CI: 41.11, 249.77) food insecure. Respondents classified as "normal" weight (AOR = 0.64, CI: 0.43, 0.96) or overweight (AOR = 0.53, CI: 0.34, 0.83) were less likely to be moderately food insecure compared with those affected by obesity. Compared with "very good or excellent," "poor" health, diet quality, and mental health were each positively associated with severe food insecurity (AOR = 7.09, CI: 2.44, 20.61; AOR = 2.63, CI: 1.08, 6.41; AOR = 2.09, CI: 1.03, 4.23, respectively).

CONCLUSION

The high prevalence of correlates of food insecurity among young adults suggests the need for policies that consider the unique challenges (e.g., precarious income) and vulnerability associated with this life stage.

Physical Activity as an Effect Modifier of the Association Between Obesity and Venous Thromboembolism: A Danish Population-Based Cohort Study

Purpose

Obesity is an established risk factor for venous thromboembolism (VTE), while studies on physical inactivity and VTE risk show conflicting results. We examined whether physical activity modified the association between obesity and VTE.

Patients and Methods

We conducted a population-based cohort study by combining data on outcome diagnoses, comorbidities and medication from nationwide registries with self-reported lifestyle data from an extensive Danish lifestyle questionnaire (2001–2015). We computed incidence rates (IRs) and hazard ratios (HRs) of VTE for categories of body mass index (BMI), among the total study population (n=57,523) and for physically active (n=25,387) and inactive individuals (n=30,902) separately.

Results

Obesity (BMI ≥30 kg/m²) was as expected associated with increased VTE risk compared with normal weight (HR 1.62, 95% confidence interval (CI): 1.26–2.09). Independent of BMI category, the rate of VTE was higher for inactive than active individuals. Thus, among obese individuals, the IR per 1000 person-years was 2.03 (95% CI: 1.60–2.57) for inactive and 1.44 (95% CI: 0.97–2.15) for active individuals. In contrast, the HR for VTE comparing obese with normal weight individuals were higher for active (HR 2.19, 95% CI: 1.35–3.58) than inactive individuals (HR 1.36, 95% CI: 1.00–1.84).

Conclusion

Physical activity acts as an effect measure modifier of the association between obesity and VTE. Thus, physical activity reduced the absolute rate of VTE among obese individuals but increased the relative rate of VTE among obese compared with normal weight individuals.

Associations between gestational weight gain and preterm birth in Puerto Rico

BACKGROUND

Preterm birth (PTB; gestational age < 37 weeks) is the leading cause of infant morbidity and mortality worldwide. Low and excessive gestational weight gain (GWG) have been previously cited as risk factors for PTB, however the magnitude of association varies across populations. No studies have examined low and excessive GWG as modifiable risk factors for PTB in Puerto Rico, an area with inexplicably high PTB rates.

METHODS

To examine the relationship between GWG and PTB, we conducted a retrospective analysis using birth certificate data files from the Puerto Rico Department of Health from 2005 to 2012. GWG was standardized to a 40-week gestational duration and was categorized into low, adequate, or excessive for each category of pre-pregnancy body mass index using American College of Obstetricians and Gynecologists guidelines. Logistic regression was used to determine the crude and adjusted odds ratios (OR) and 95% confidence intervals (CI) for the association between GWG and PTB.

RESULTS

There were 320,695 births included in this analysis; 40.6% with high GWG and 27.3% with low GWG. A greater percentage of women with low GWG were less than 20 years of age, had less than a high school education, and were underweight compared to women with adequate and excessive GWG. Women with low compared to adequate GWG had increased odds of PTB (OR = 1.34, 95% CI = 1.30-1.37). However, excessive compared to adequate GWG was not associated with PTB (OR = 0.99, 95% CI = 0.97-1.02).

CONCLUSIONS

Among women in Puerto Rico, low GWG was associated with increased odds of PTB. With the exception of obesity, these associations persisted within all strata of pre-pregnancy body mass index, highlighting the importance of maintaining a healthy weight during pregnancy. Future research should examine other factors that may contribute to GWG, such as dietary nutrients, and explore pathways through which GWG may be contributing to PTB.

Desire to lose weight and need of weight loss support in the adult population-Results from a cross-sectional study in Sweden

OBJECTIVE

Evidence-based methods to lose weight are important in tackling increasing obesity trends in adult populations. More knowledge about persons who want to lose weight and do not/do need weight loss support is necessary to design effective preventive practices. Thus, the aim of the study was to investigate the prevalence of desire to lose weight in the general population and the prevalence of health problems and health-related factors in persons with overweight or obesity who want to lose weight and believe that they do not/do need weight loss support.

METHODS

The study included 14 126 persons aged 30 to 69 years who responded to a questionnaire sent to a random sample. Persons with overweight or obesity (BMI ≥ 25 kg/m2) were divided into three groups: those who do not want to lose weight (n = 1236), those who want to lose weight but do not believe they need support (n = 5484), and those who want to lose weight and believe they need weight loss support (n = 1462).

RESULTS

In total, 69% of the women and 59% of the men reported that they wanted to lose weight. The prevalence of hypertension, musculoskeletal pain, poor self-rated health, anxiety/worry, and depression was highest among persons with overweight or obesity who wanted to lose weight and believed they need weight loss support. They were also more physically inactive and reported less social support.

CONCLUSIONS

To want to lose weight is very common among adults. People with overweight or obesity who want to lose weight and believe they need weight loss support have higher frequency of various health problems, including mental health problems, and less social support.

Public acceptability of a sugar-sweetened beverage tax and its associated factors in the Netherlands

Objective:

To investigate the level of public acceptability of a sugar-sweetened beverage (SSB) tax and its associated factors.

Design:

Participants completed an online self-administered questionnaire. Acceptability of an SSB tax was measured on a seven-point Likert scale (strongly disagree to strongly agree). Associations between acceptability and sociodemographic factors, weight status, SSB consumption and beliefs about effectiveness (e.g., ‘An SSB tax would reduce people’s SSB consumption’), appropriateness, socioeconomic and economic benefit, implementation and trust were assessed using multivariable linear regression analyses.

Setting:

The Netherlands.

Participants:

Dutch adults aged ≥18 years representative of the Dutch population for age, sex, education level and location (n 500).

Results:

Of the participants, 40 % supported and 43 % opposed an SSB tax in general. Moreover, 42 % supported (43 % opposed) an SSB tax as a strategy to reduce overweight, and 55 % supported (32 % opposed) an SSB tax if revenue is used for health initiatives. Participants with a low education level (B = –0·82, 95 % CI –1·31, –0·32), overweight (B = –0·49, 95 % CI –0·89, –0·09), moderate or high SSB consumption (B = –0·86, 95 % CI –1·30, –0·43 and B = –1·01, 95 % CI –1·47, –0·56, respectively) and households with adolescents (B = –0·57, 95 % CI –1·09, –0·05) reported a lower acceptability of an SSB tax than their counterparts. Beliefs about effectiveness, appropriateness, socioeconomic and economic benefit, implementation and trust were associated with acceptability (P < 0·001).

Conclusions:

Public acceptability of an SSB tax tends to be higher if revenue is used for health initiatives. The factors associated with acceptability should be taken into consideration.

Does Eating Addiction Favor a More Varied Diet or Contribute to Obesity?-The Case of Polish Adults

The rapidly increasing prevalence of overweight and obesity indicates a need to search for their main causes. Addictive-like eating and associated eating patterns might result in overconsumption, leading to weight gain. The aim of the study was to identify the main determinants of food intake variety (FIV) within eating addiction (EA), other lifestyle components, and sociodemographic characteristics. The data for the study were collected from a sample of 898 Polish adults through a cross-sectional survey in 2019. The questionnaire used in the study included Food Intake Variety Questionnaire (FIVeQ), Eating Preoccupation Scale (EPS), and questions regarding lifestyle and sociodemographic factors. High eating addiction was found in more than half of the people with obesity (54.2%). In the study sample, physical activity at leisure time explained FIV in the greatest manner, followed by the EPS factor: eating to provide pleasure and mood improvement. In the group of people with obesity, the score for this EPS factor was the best predictor of FIV, in that a higher score was conducive to a greater variety of food intake. Sociodemographic characteristics differentiated FIV only within groups with normal body weight (age) and with overweight (education). In conclusion, food intake variety (FIV) was associated with physical activity at leisure time, and then with EPS factor “Eating to provide pleasure and mood improvement”, whereas sociodemographic characteristics were predictors of FIV only within groups identified by body mass index (BMI). Nevertheless, our observations regarding the eating to provide pleasure and mood improvement factor and its associations with food intake variety indicate a need for further research in this area. Future studies should also use other tools to explicitly explain this correlation.

Age- and Sex-Specific Analyses of Diet Quality and 4-Year Weight Change in Nonobese Adults Show Stronger Associations in Young Adulthood

BACKGROUND

Although the general importance of diet quality in the prevention of unintentional weight gain is known, it is unknown whether its influence is age or sex dependent.

OBJECTIVE

The aim of this study was to investigate whether the strength of the association between diet quality and 4-y weight change was modified by age and sex.

METHODS

From the Dutch population-based Lifelines Cohort, 85,618 nonobese adult participants (age 18-93 y), recruited between 2006 and 2013, were included in the study. At baseline, diet was assessed with a 110-item food-frequency questionnaire. The Lifelines Diet Score, based on international evidence for diet-disease relations at the food group level, was calculated to assess diet quality. For analyses, the score was divided in quintiles (Qs). Body weight was objectively measured at baseline and after a median follow-up of 44 mo (25th-75th percentile: 35-51 mo). In between, body weight was self-reported twice. Linear mixed models were used to investigate the association between diet quality and weight change by sex and in 6 age categories (18-29, 30-39, 40-49, 50-59, 60-69, and ≥70 y).

RESULTS

Mean 4-y weight change decreased over age categories. Confounder-adjusted linear mixed models showed that the association between diet quality and weight change was modified by sex (P-interaction = 0.001). In women, the association was also modified by age (P-interaction = 0.001). Poor diet quality was most strongly associated with weight gain in the youngest men [Q1 compared with Q5: +0.33 kg/y (95% CI: 0.10, 0.56)] and women [+0.22 kg/y (95% CI: 0.07, 0.37)]. In contrast, in women aged ≥70 y, poor diet quality was associated with greater weight loss [-0.44 kg/y (95% CI: -0.84, -0.05)].

CONCLUSIONS

Poor diet quality was related to higher weight gain, especially in young adults. Oppositely, among women aged ≥70 y, poor diet quality was related to higher weight loss. Therefore, a healthful diet is a promising target for undesirable weight changes in both directions.

Examining the diversity of ultra-processed food consumption and associated factors in Canadian adults

Ultra-processed food (UPF) consumption is increasing globally at an unprecedented rate. We investigated UPF consumption among Canadian adults and associated sociodemographic and health-related factors. This study was a secondary analysis of the Foodbook study (2014-2015), which collected self-reported data on foods consumed by Canadians during a 7-day period. UPF diversity was assessed by summing the different types of UPFs consumed in the previous week to produce a diversity score. Descriptive statistics summarized UPF diversity among subgroups in Canada. Regression models identified significant associations between UPF diversity, body mass index (BMI), and sociodemographic variables. This study included 6062 participants, aged 18 years and older, representing 24.7 million Canadian adults. Almost all Canadian adults (99.0%) consumed UPFs at least once weekly. The most common UPFs consumed were chocolate, chips/pretzels, cold breakfast cereal, and fast foods. UPF diversity was greatest among men, young respondents, those with high income, and those with obesity. When controlling for potential confounders, UPF diversity for men and women was significantly associated with younger age and higher BMI; it was also associated with region for women. This study suggests UPF consumption in Canada varies across sociodemographic subgroups, but ultimately is pervasive. Further research examining potential health risks associated with UPF consumption is encouraged to inform Canadian interventions. Novelty: Almost all Canadians consume at least one type of ultra-processed food weekly. Nearly half or more Canadians consume chocolate, chips/pretzels, cold breakfast cereal, or fast food at least once weekly. Gender, age, and BMI are consistently associated with ultra-processed food diversity.

rs11670527 Upstream of ZNF264 Associated with Body Mass Index in the Coriell Personalized Medicine Collaborative

INTRODUCTION

the effects of obesity on health are a concern for the military as they affect the fitness to serve of active service members, increase costs to the Military Health System, and reduce quality of life for veterans and beneficiaries. Although obesity can be influenced by behavioral and environmental factors, it has also been shown to be associated with genetic risk factors that are not fully understood.

MATERIALS AND METHODS

we performed a genome-wide association study of 5,251 participants in the Coriell Personalized Medicine Collaborative, which includes 2,111 Air Force participants. We applied a generalized linear model, using principal component analysis to account for population structure, and analyzed single-variant associations with body mass index (BMI) as a continuous variable, using a Bonferroni-corrected P-value threshold to account for multiplicity.

RESULTS

we identified one genome-wide significant locus, rs11670527, upstream of the ZNF264 gene on chromosome 19, associated with BMI.

CONCLUSIONS

the finding of an association between rs11670527 and BMI adds to the growing body of literature characterizing the complex genetics of obesity. These efforts may eventually inform personalized interventions aimed at achieving and maintaining healthy weight.

Factors Accounting for Obesity and Its Perception among the Adult Spanish Population: Data from 1,000 Computer-Assisted Telephone Interviews

OBJECTIVE

Our aim was to go deeper in the self-perception of weight and health status among the Spanish population, together with the connections of familiar relationships, physical activity practice, nutritional habits, and sleep patterns with the presence of obesity.

METHODS

A total of 1,000 subjects were enrolled in April 2017 in a representative adult Spanish population sample. Computer-assisted telephone interviewing was used and self-reported anthropometric data was obtained.

RESULTS

The population was composed of 51.3% women, with a mean age of 48 (36-63) years and a BMI of 23.2 (20.3-26.6). Although only 17.7% of subjects with self-reported obesity exhibited the self-perception to suffer from obesity, they referred a bad (16%) or regular (47%) self-perceived health status. Subjects who considered themselves as people with overweight and obesity displayed a BMI of 30.5 (28.7-32.2) and 37.1 (34.8-41.5), respectively. The obesity group displayed the highest percentage (71.9%) of participants with some first-degree relative with overweight or obesity (p < 0.001) in comparison with the other groups. The main reason put forward of preventing healthy eating among subjects with obesity was that they dislike healthy food. The multivariable logistic regression model for presence of obesity showed that there was a significant association with older age, presence of a first-degree relative with weight excess, a positive snacking habit, and daily alcohol consumption (p ≤ 0.019).

CONCLUSION

The Spanish population has a low self-perception of obesity. Our data also reinforces the strong association between obesity and age, family interactions, usual snacking, and daily consumption of wine or beer.

The prediction of colorectal cancer using anthropometric measures: A Swedish population-based cohort study with 22 years of follow-up

Background

Obesity is a risk factor for colorectal cancer (CRC).

Objective

The objective of this article is to investigate whether anthropometric measures reflecting visceral obesity are better predictors of CRC than body mass index (BMI).

Methods

Data were analysed from the Malmö Diet and Cancer study in Sweden, comprising 16,669 women and 10,805 men (median age 56.6 and 59.1 years) followed for a median 21.5 years. Diagnoses of CRC were identified using Swedish national registers. Cox regression was used to test the associations of BMI, waist circumference (WC), waist-hip ratio, waist-to-height ratio, waist-to-hip-to-height ratio, A Body Shape Index (ABSI) and percentage body fat with the development of CRC adjusted for age, alcohol consumption, smoking, education and physical activity in men and women.

Results

None of the measures were significantly associated with an increased risk for CRC in women. WC was the strongest predictor of colon cancer (CC) in men and the only measure that was independent of BMI. ABSI was the only measure significantly associated with the risk of rectal cancer in men.

Conclusions

Visceral obesity, best expressed as WC, is a risk factor for CC in men but a poor predictive marker for CRC in women.

Relationship Between Prepregnancy Overweight, Obesity, and Preterm Birth in Puerto Rico

Objectives We examined the association between prepregnancy body mass index (PP-BMI) and preterm birth (PTB) among women in Puerto Rico (PR) as a potentially modifiable risk factor. Methods We conducted a retrospective study using the birth certificate data files from 2005 to 2012 developed by the PR Department of Health to examine the relationship between PP-BMI and PTB. Logistic regression was used to determine crude and adjusted odds ratios (OR) and 95% confidence intervals (CI) for the categories of PP-BMI of overweight (25-29.9 kg/m²), obesity (≥ 30 kg/m²), and overweight and obesity together (≥ 25 kg/m²) and PTB. Stratified analysis explored the associations between PP-BMI and PTB by region within PR and year. Results Following exclusions of birth records with missing data, 343,508 births were included in our analysis. The percentage of PTB decreased from 18.6 to 15.2 during our study period. Statistically significant differences were observed between preterm and full term births across all covariates. Overweight (OR 1.08, 95% CI 1.06, 1.11), obesity (OR 1.17, 95% CI 1.14, 1.20), and overweight and obesity together (OR 1.11, 95% CI 1.09, 1.14) were significantly associated with increased odds of PTB after adjusting for confounders. The associations between PP-BMI and PTB persisted across all regions and years. Conclusions for Practice PP-BMI is associated with increased odds of PTB among women in PR and the associations were consistent in exploratory analyses. Future research should examine the relationship between PP-BMI and PTB among other Hispanic subgroups and among Puerto Ricans in the mainland United States.

Long sleep duration predicts a higher risk of obesity in adults: a meta-analysis of prospective cohort studies

BACKGROUND

The connections between long sleep duration and obesity or weight gain warrant further examination. This meta-analysis aimed to evaluate whether long sleep duration was associated with the risk of obesity, weight gain, body mass index (BMI) change or weight change in adults.

METHODS

PubMed, Embase, Cochrane Library, Elsevier Science Direct, Science Online, MEDLINE and CINAHL were searched for English articles published before May 2017. A total of 16 cohort studies (n = 329 888 participants) from 8 countries were included in the analysis. Pooled relative risks (RR) or regression coefficients (β) with 95% confidence intervals (CI) were estimated. Heterogeneity and publication bias were tested, and sensitivity analysis was also performed.

RESULTS

We found that long sleep duration was associated with higher risk of obesity (RR [95% CI] = 1.04 [1.00-1.09], P = 0.037), but had no significant associations with weight gain, BMI change or weight change. Long sleep duration increased the risk of weight gain in three situations: among men, in studies with <5 years follow-up, and when sleep duration was 9 or more hours.

CONCLUSIONS

Long sleep duration was associated with risk of obesity in adults. More cohort studies with objective measures are needed to confirm this relationship.

Convenience Behavior and Being Overweight in Adults: Development and Validation of the Convenience Behavior Questionnaire

The etiology of overweight and obesity is a mixture of genetic determinants, environmental factors, and health behaviors. Especially intra- and interpersonal inactive behaviors, here termed convenience, seems to play an important role. The objective was to develop and validate the Convenience Behavior Questionnaire (CBQ) to assess convenience-related items and their association with overweight and obesity in a large population. A sample of 1233 subjects aged 18–82 years from six population groups took part in a self-administered questionnaire. Test-retest reliability was estimated and the independent association between convenience-related items and overweight and obesity was investigated. Principal component analysis revealed three factors (avoidance behaviors, social interaction behaviors and domestic environmental factors) which explained 43.4% of the variance contributing to the CBQ. Cronbach's α ranged from 0.80–0.89. Test-retest reliability using intra-class correlation was acceptable ≥ 0.70. Forward stepwise logistic regression analysis, including gender, education level, age and TV viewing on weekends showed a positive relation of convenience behavior and overweight (OR: 1.40; 95% CI: 1.01–1.96; P = 0.048), while physical activity status was not significantly associated with overweight (OR: 1.09; 95% CI: 0.77–1.54; P = 0.629). The CBQ seems to be a reliable tool which considers non-traditional behaviors related to overweight development. Interestingly our findings revealed a better relationship between convenience-related behavior with overweight and obesity than the habitual physical activity score.

Preconception lifestyle intervention reduces long term energy intake in women with obesity and infertility: a randomised controlled trial

Background

The preconceptional period may be an optimal window of opportunity to improve lifestyle. We previously showed that a 6 month preconception lifestyle intervention among women with obesity and infertility was successful in decreasing the intake of high caloric snacks and beverages, increasing physical activity and in reducing weight in the short term. We now report the effects of the preconception lifestyle intervention on diet, physical activity and body mass index (BMI) at 5.5 years (range = 3.7–7.0 years) after the intervention.

Methods

We followed women who participated in the LIFEstyle study, a multicentre RCT in which women with obesity and infertility were assigned to a six-month lifestyle intervention program or prompt infertility treatment (N = 577). Diet and physical activity 5.5 years later were assessed with an 173-item food frequency questionnaire (N = 175) and Actigraph triaxial accelerometers (N = 155), respectively. BMI was calculated from self-reported weight and previously measured height (N = 179). Dietary intake, physical activity, and BMI in the intervention and control group were compared using multivariate regression models. Additionally, dietary intake, physical activity and BMI of women allocated to the intervention arm with successful weight loss during the intervention (i.e. BMI < 29 kg/m² or ≥ 5% weight loss), unsuccessful weight loss and the control group were compared with ANCOVA.

Results

Although BMI did not differ between the intervention and control group 5.5 years after the intervention (− 0.5 kg/m² [− 2.0;1.1]; P = 0.56), the intervention group did report a lower energy intake (− 216 kcal/day [− 417;-16]; P = 0.04). Women in the intervention arm who successfully lost weight during the intervention had a significantly lower BMI at follow-up compared to women in the intervention arm who did not lose weight successfully (− 3.4 kg/m² [− 6.3;-0.6]; P = 0.01), and they reported a significantly lower energy intake compared to the control group (− 301 kcal [− 589;-14]; P = 0.04). Macronutrient intake, diet quality, and physical activity did not differ between the intervention and control group, irrespective of successful weight loss during the intervention.

Conclusions

In our study population, a preconception lifestyle intervention led to reduced energy intake 5.5 years later. Additionally, women allocated to the intervention group who were successful in losing weight during the intervention also had a lower BMI at follow-up. This shows the potential sustainable effect of a preconception lifestyle intervention.

Trial registration

This trial was registered on 16 November 2008 in the Dutch trial register; clinical trial registry number NTR1530.

Electronic supplementary material

The online version of this article (10.1186/s12966-018-0761-6) contains supplementary material, which is available to authorized users.

Forecasting Future Trends in Obesity across Europe: The Value of Improving Surveillance

OBJECTIVE

To project the prevalence of obesity across the WHO European region and examine whether the WHO target of halting obesity at 2010 levels by 2025 is achievable.

METHODS

BMI data were collected from online databases and the literature. Past and present BMI trends were extrapolated to 2025 using a non-linear categorical regression model fitted to nationally representative survey data. Where only 1 year of data was available, a flat trend was assumed. Where no data were available, proxy country data was used adjusted for demographics.

RESULTS

By 2025, obesity is projected to increase in 44 countries. If present trends continue, 33 of the 53 countries are projected to have an obesity prevalence of 20% or more. The highest prevalence is projected for Ireland (43%, 95% confidence interval (CI): 28-58%). Lithuania, Finland, and the Netherlands were each estimated to have an absolute increase of 2 percentage points in the prevalence of obesity between 2015 and 2025.

DISCUSSION

The quality of BMI data across Europe is highly variable, with fewer than 50% of the 53 countries having measured nationally representative data and often not enough data to interpret projections meaningfully. Nevertheless, the prevalence of obesity in the European Region appears to be increasing in most countries and, with it, the health and economic burden of its associated diseases. This paints a concerning picture of the future burden of obesity-related noncommunicable diseases across the region. Greater and continued effort for the implementation of effective preventive policies and interventions is required from governments.

Burden of liver disease in Europe: Epidemiology and analysis of risk factors to identify prevention policies

The burden of liver disease in Europe continues to grow. We aimed to describe the epidemiology of liver diseases and their risk factors in European countries, identifying public health interventions that could impact on these risk factors to reduce the burden of liver disease. As part of the HEPAHEALTH project we extracted information on historical and current prevalence and mortality from national and international literature and databases on liver disease in 35 countries in the World Health Organization European region, as well as historical and recent prevalence data on their main determinants; alcohol consumption, obesity and hepatitis B and C virus infections. We extracted information from peer-reviewed and grey literature to identify public health interventions targeting these risk factors. The epidemiology of liver disease is diverse, with variations in the exact composition of diseases and the trends in risk factors which drive them. Prevalence and mortality data indicate that increasing cirrhosis and liver cancer may be linked to dramatic increases in harmful alcohol consumption in Northern European countries, and viral hepatitis epidemics in Eastern and Southern European countries. Countries with historically low levels of liver disease may experience an increase in non-alcoholic fatty liver disease in the future, given the rise of obesity across most European countries. Liver disease in Europe is a serious issue, with increasing cirrhosis and liver cancer. The public health and hepatology communities are uniquely placed to implement measures aimed at reducing their causes: harmful alcohol consumption, child and adult obesity, and chronic infection with hepatitis viruses, which will in turn reduce the burden of liver disease.

Stage of obesity epidemic model: Learning from tobacco control and advocacy for a framework convention on obesity control

The 2011 United Nations political declaration against non-communicable diseases (NCDs) targeted four major risk factors: tobacco use, harmful use of alcohol, an unhealthy diet, and a lack of physical activity. The Framework Convention on Tobacco Control (FCTC), MPOWER strategies, and the four-stage model of the tobacco epidemic are useful references for the prevention and control of other risk factors and NCDs. Obesity control is a more complex challenge. Herein we propose a stage of obesity epidemic model (SOEM). Obesity is in the early stages in most countries with increasing prevalence, but its effects on mortality will increase rapidly, even if its prevalence may have reached a peak and be declining. Based on current relative risk, obesity kills one in three obese people. Like tobacco, epidemiological studies of obesity in the early stages would underestimate the risks and disease burden. Further research will reveal more harm, especially from long-term obesity since childhood. The prevalence of obesity will likely overtake smoking prevalence, but commitments to obesity control are too weak. The SOEM is needed and should be useful to forewarn against the expanding public health problems attributable to obesity, and challenges in epidemiology and interventions. Learning from tobacco control, we advocate for a framework convention on obesity control. Framing obesity control initiatives in the spirit of MPOWER strategies against tobacco should be considered to prevent and control obesity and obesity-induced diseases. Healthcare professionals should take leading roles in these initiatives and obese individuals should reduce their weight and "quit" obesity.

The Independent Importance of Pre-pregnancy Weight and Gestational Weight Gain for the Prevention of Large-for Gestational Age Brazilian Newborns

Objectives To study the independent effect of pre-pregnancy weight, gestational weight gain (GWG), and other important risk factors on newborn birth weight. Methods Baseline data of 435 adult women and their singletons born between January and February 2012 at a public hospital in Brazil were used. Logistic regression was applied to determine the independent importance of pre-pregnancy weight and GWG for large for gestational age (LGA) newborns. Results Among all mothers, 37.9 % were overweight and obese before pregnancy and 45.3 % experienced excessive GWG. Among the newborns, 24.4 % were classified as LGA. Univariate analysis showed an association of family income, GWG, pre-pregnancy BMI and excessive GWG with LGA newborns. Smoking before and during pregnancy was associated with a decreased likelihood of giving birth to an LGA newborn compared to mothers who did not smoke. After adjustment for confounding variables, age at birth of first child, GWG, HbA1c and pre-pregnancy weight-GWG were significant and independent determinants of giving birth to an LGA newborn. Mothers with pre-pregnancy overweight and excessive GWG were more likely to deliver an LGA newborn (OR 2.54, P < 0.05) compared to mothers who were normal weight and experienced adequate GWG. Conclusions for Practice Age at first birth of child, GWG, HbA1c and pre-pregnancy overweight combined with excessive GWG are independent determinants of LGA newborns. The results of this study suggest that both primary prevention of overweight in women of childbearing age and management of GWG may be important strategies to reduce the number of LGA newborns and, consequently, the long-term public health burden of obesity.

Correction of self-reported BMI based on objective measurements: a Belgian experience

BACKGROUND

Based on successive Health Interview Surveys (HIS), it has been demonstrated that also in Belgium obesity, measured by means of a self-reported body mass index (BMI in kg/m2), is a growing public health problem that needs to be monitored as accurately as possible. Studies have shown that a self-reported BMI can be biased. Consequently, if the aim is to rely on a self-reported BMI, adjustment is recommended. Data on measured and self-reported BMI, derived from the Belgian Food Consumption Survey (FCS) 2014 offers the opportunity to do so.

METHODS

The HIS and FCS are cross-sectional surveys based on representative population samples. This study focused on adults aged 18-64 years (sample HIS = 6545 and FCS = 1213). Measured and self-reported BMI collected in FCS were used to assess possible misreporting. Using FCS data, correction factors (measured BMI/self-reported BMI) were calculated in function of a combination of background variables (region, gender, educational level and age group). Individual self-reported BMI of the HIS 2013 were then multiplied with the corresponding correction factors to produce a corrected BMI-classification.

RESULTS

When compared with the measured BMI, the self-reported BMI in the FCS was underestimated (mean 0.97 kg/m2). 28% of the obese people underestimated their BMI. After applying the correction factors, the prevalence of obesity based on HIS data significantly increased (from 13% based on the original HIS data to 17% based on the corrected HIS data) and approximated the measured one derived from the FCS data.

CONCLUSIONS

Since self-reported calculations of BMI are underestimated, it is recommended to adjust them to obtain accurate estimates which are important for decision making.

Bias in Hazard Ratios Arising From Misclassification According to Self-Reported Weight and Height in Observational Studies of Body Mass Index and Mortality

Misclassification of body mass index (BMI) categories arising from self-reported weight and height can bias hazard ratios in studies of BMI and mortality. We examined the effects on hazard ratios of such misclassification using national US survey data for 1976 through 2010 that had both measured and self-reported weight and height along with mortality follow-up for 48,763 adults and a subset of 17,405 healthy never-smokers. BMI was categorized as <22.5 (low), 22.5-24.9 (referent), 25.0-29.9 (overweight), 30.0-34.9 (class I obesity), and ≥35.0 (class II-III obesity). Misreporting at higher BMI categories tended to bias hazard ratios upwards for those categories, but that effect was augmented, counterbalanced, or even reversed by misreporting in other BMI categories, in particular those that affected the reference category. For example, among healthy male never-smokers, misclassifications affecting the overweight and the reference categories changed the hazard ratio for overweight from 0.85 with measured data to 1.24 with self-reported data. Both the magnitude and direction of bias varied according to the underlying hazard ratios in measured data, showing that findings on bias from one study should not be extrapolated to a study with different underlying hazard ratios. Because of misclassification effects, self-reported weight and height cannot reliably indicate the lowest-risk BMI category.

Waist/Hip Ratio Better Predicts Development of Severe Liver Disease Within 20 Years Than Body Mass Index: A Population-based Cohort Study

BACKGROUND & AIMS

Obesity, commonly assessed based on body mass index (BMI), is associated with an increased risk for severe liver disease. It is not known if other measures of body composition are better determinants of risk for severe liver disease, and/or if these differ between women and men. We investigated the body composition measures that best predict the development of severe liver disease.

METHODS

We collected data from the Malmö Diet and Cancer study in Sweden, comprising 16,784 women and 10,833 (mean age, 58.1 years at baseline), and followed patients for a median 19.8 years. We analyzed data on measures of body composition including BMI, waist/hip ratio, and others. We determined whether subjects were diagnosed with severe liver disease, or died from severe liver disease, until the end of 2014 using Swedish national registers. Associations between body composition measures and severe liver disease were assessed using Cox regression models, stratified by sex and adjusted for age, alcohol consumption, smoking, education, and physical activity.

RESULTS

All studied measures of body composition were significantly associated with severe liver disease. Waist/hip ratio was the best predictor of severe liver disease in women (hazard ratio [HR] per standard deviation increment, 1.30; 95% confidence interval [CI], 1.16-1.46) and men (HR, 1.46; 95% CI, 1.31-1.63). BMI had the lowest HR in women (HR, 1.12; 95% CI, 1.00-1.27) and men (HR, 1.26; 95% CI, 1.12-1.42). The association between waist/hip ratio and development of liver disease was independent of BMI.

CONCLUSIONS

In a Swedish population-based cohort study, we associated all measures of body composition with risk of severe liver disease. However, measures of abdominal obesity were best at predicting development of severe liver disease.

Improving Assessment of the Spectrum of Reward-Related Eating: The RED-13

A diversity of scales capture facets of reward-related eating (RRE). These scales assess food cravings, uncontrolled eating, addictive behavior, restrained eating, binge eating, and other eating behaviors. However, these scales differ in terms of the severity of RRE they capture. We sought to incorporate the items from existing scales to broaden the 9-item Reward-based Eating Drive scale (RED-9; Epel et al., 2014), which assesses three dimensions of RRE (lack of satiety, preoccupation with food, and lack of control over eating), in order to more comprehensively assess the entire spectrum of RRE. In a series of 4 studies, we used Item Response Theory models to consider candidate items to broaden the RED-9. Studies 1 and 2 evaluated the abilities of additional items from existing scales to increase the RED-9's coverage across the spectrum of RRE. Study 3 evaluated candidate items identified in Studies 1 and 2 in a new sample to assess the extent to which they accounted for more variance in areas less well-covered by the RED-9. Study 4 tested the ability of the RED-13 to provide consistent coverage across the range of the RRE spectrum. The resultant RED-13 accounted for greater variability than the RED-9 by reducing gaps in coverage of RRE in middle-to-low ranges. Like the RED-9, the RED-13 was positively correlated with BMI. The RED-13 was also positively related to a diagnosis of type 2 diabetes as well as cravings for sweet and savory foods. In summary, the RED-13 is a brief self-report measure that broadly captures the spectrum of RRE and may be a useful tool for identifying individuals at risk for overweight or obesity.

Estimating bias in derived body mass index in the Maternity Experiences Survey

INTRODUCTION

The objective of this study was to assess bias in the body mass index (BMI) measure in the Canadian Maternity Experiences Survey (MES) and possible implications of bias on the relationship between BMI and selected pregnancy outcomes.

METHODS

We assessed BMI classification based on self-reported versus measured values. We used a random sample of 6175 women from the MES, which derived BMI from self-reported height and weight, and a random sample of 259 women who had previously given birth from the Canadian Health Measures Survey (CHMS), which derived BMI from self-reported and measured height and weight. Two correction equations were applied to self-reported based BMI, and the impact of these corrections on associations between BMI and caesarean section, small-for-gestational age (SGA) and large-for-gestational age (LGA) births was studied.

RESULTS

Overall, 86.9% of the CHMS subsample was classified into the same BMI category based on self-reported versus measured data. However, misclassification had a substantial effect on the proportion of women in underweight and obese BMI categories. For example, 14.5% versus 20.8% of women were classified as obese based on self-reported data versus measured data. Corrections improved estimates of obesity prevalence, but over- and underestimated other BMI categories. Corrections had nonsignificant effects on the associations between BMI and SGA, LGA, and caesarean section.

CONCLUSION

While there was high concordance in BMI classification based on selfreported versus measured height and weight, bias in self-reported based measures may slightly over- or underestimate the risks associated with a particular BMI class. However, the general trend in associations is unaffected.

The Perception of Threat from Emotions in Predicting Binge Eating Behaviours in People Who Are Obese and Seeking Treatment for Their Weight

OBJECTIVE

The affect regulation theory suggests that people binge eat to regulate negative emotional states. In this study, we used a basic emotions perspective to consider the role of perceived threat of emotions, emotional suppression and reduced emotional expressiveness in predicting binge eating behaviours in people who are obese.

METHOD

Treatment-seeking participants with obesity (N = 51, body mass index range from 30.8 to 60.2 kg m^-2 ) completed measures of 'perception of threat from emotion' as well as 'emotional expressiveness' and binge eating.

RESULTS

The results demonstrated that perceived threat of sadness predicted binge eating (β = .55, p < .05). Additionally, a mediation analysis revealed that reduced emotional expressiveness mediated the relationship between perceived threat of fear and binge eating (β = .25, 95%).

DISCUSSION

These findings are contextualized within a theoretical perspective that suggests that individuals who binge eat are threatened by certain emotional states and they use binge eating to suppress certain, but not all, emotional states. Copyright © 2015 John Wiley & Sons, Ltd.

KEY PRACTITIONER MESSAGE

Considering basic emotions within binge eating should be a part of a psychological assessment and treatment. This should consider how emotions could often be perceived as being threatening and their expression is limited. It is possible that the emotions of fear and sadness appear to be particularly threatening within binge eating/obese populations.

Perceived Health Status: Is Obesity Perceived as a Risk Factor and Disease?

One might expect that a perception of obesity being a risk factor and disease, contributes to effective obesity prevention and management strategies. However, obesity rates continue to increase worldwide. The question arises whether obesity is truly perceived as a risk factor and a disease. This paper aims at describing perception of obesity as risk factor and disease among individuals seeking care, individuals not seeking care, the society, and different professionals having a role in the field of obesity. The paper is a reflection of the lecture on the topic that was given at the EASO's New Investigators United's Summer School 2016 in Portugal and the discussion with the new investigators and other senior speakers. Individual obese patients seeking help are very much aware of obesity being a risk factor and disease, but perceptions regarding obesity seem to be flawed among those who do not seek help for obesity. Also, misperceptions regarding obesity play a role at different levels, including society, different political levels, the fields of health care and social work, prevention organizations, and the food and marketing industry. The food and marketing industry has an enormous role in changing perceptions by the society and policy makers. Obesity rates will continue to increase as long as individuals, the society, and professionals at different levels have false interpretations of the severity of obesity. Severe action is needed against those who are playing a role in maintaining false perceptions of obesity as a risk factor and disease.

Impact of Pre-Pregnancy BMI on B Vitamin and Inflammatory Status in Early Pregnancy: An Observational Cohort Study

Maternal nutrition and inflammation have been suggested as mediators in the development of various adverse pregnancy outcomes associated with maternal obesity. We have investigated the relation between pre-pregnancy BMI, B vitamin status, and inflammatory markers in a group of healthy pregnant women. Cobalamin, folate, pyridoxal 5′-phosphate, and riboflavin; and the metabolic markers homocysteine, methylmalonic acid, and 3-hydroxykynurenine/xanthurenic acid ratio (HK/XA); and markers of cellular inflammation, neopterin and kynurenine/tryptophan ratio (KTR) were determined in pregnancy week 18 and related to pre-pregnancy body mass index (BMI), in 2797 women from the Norwegian Mother and Child Cohort Study (MoBa). Pre-pregnancy BMI was inversely related to folate, cobalamin, pyridoxal 5′-phosphate (PLP), and riboflavin (p < 0.001), and associated with increased neopterin and KTR levels (p < 0.001). Inflammation seemed to be an independent predictor of low vitamin B6 status, as verified by low PLP and high HK/XA ratio. A high pre-pregnancy BMI is a risk factor for low B vitamin status and increased cellular inflammation. As an optimal micronutrient status is vital for normal fetal development, the observed lower B vitamin levels may contribute to adverse pregnancy outcomes associated with maternal obesity and B vitamin status should be assessed in women with high BMI before they get pregnant.

Medical expenditures in patients with high risk of diabetes: Effects of BMI, hypertension, and health-related quality of life

OBJECTIVE

To evaluate the health-related quality of life (HRQOL) of patients with diabetes and persons at high risk of developing diabetes and the association between HRQOL scores and subsequent medical expenditures in these persons.

METHODS

Data came from the Medical Expenditure Panel Survey. Body mass index (BMI) and hypertension were used to identify risk of diabetes. Burden was assessed by comparing SF-12 physical (PCS) and mental (MCS) summary scores in patients with diabetes and those at risk of having diabetes to the age- and gender-adjusted PCS and MCS of those with normal BMI and no hypertension. Associations between PCS and MCS and medical expenditures were modeled using a two-part model that controlled for clinical and demographic factors. Percent increase in expenditure associated with PCS and MCS differences was evaluated as the ratio of estimated expenditure, holding other factors fixed.

RESULTS

Diabetes risk factors were associated with up to 9-point lower PCS and 3-point lower MCS score. Overall, 1-, 2-, 5-, and 10-point lower PCS scores were associated with 2.9%, 5.8%, 15.0%, and 31.8% higher expenditures, and lower MCS scores were associated with 1.3%, 2.6%, 6.5%, and 13.5% higher expenditures, respectively.

CONCLUSIONS

The reported associations can help clinicians and researchers interpret the magnitude of HRQOL score differences.

Oral Health Behavior and Lifestyle Factors among Overweight and Non-Overweight Young Adults in Europe: A Cross-Sectional Questionnaire Study

Being overweight is a risk factor for many chronic diseases including oral diseases. Our aim was to study the associations between oral health behavior, lifestyle factors and being overweight among young European adults, 2011–2012. The subjects constituted a representative sample of adult population aged 18–35 years from eight European countries participating in the Escarcel study. The participants completed a self-administered questionnaire on dietary habits, oral health behavior, smoking, exercise, height, and weight. Overweight was defined as body mass index (BMI) ≥ 25 kg/m² using the World Health Organization criteria. Mean BMI was 23.2 (SD 3.48) and 24.3% of the study population were overweight. Those who were overweight drank more soft drinks (p = 0.005) and energy drinks (p = 0.006) compared with those who were non-overweight. Brushing once a day (OR 1.6; 95% CI 1.3-2.0), emergency treatment as the reason for last dental visit (OR 1.6; 95% CI 1.3–1.9) and having seven or more eating or drinking occasions daily (OR 1.4; 95% CI 1.1–1.7) were statistically significantly associated with overweight. Associations were found between oral health behavior, lifestyle and overweight. A greater awareness of the detrimental lifestyle factors including inadequate oral health habits among overweight young adults is important for all healthcare providers, including oral health care professionals.

Changes Over Time in Absolute and Relative Socioeconomic Differences in Smoking: A Comparison of Cohort Studies From Britain, Finland, and Japan

INTRODUCTION

Socioeconomic differences in smoking over time and across national contexts are poorly understood. We assessed the magnitude of relative and absolute social class differences in smoking in cohorts from Britain, Finland, and Japan over 5-7 years.

METHODS

The British Whitehall II study (n = 4350), Finnish Helsinki Health Study (n = 6328), and Japanese Civil Servants Study (n = 1993) all included employed men and women aged 35-68 at baseline in 1997-2002. Follow-up was in 2003-2007 (mean follow-up 5.1, 6.5, and 3.6 years, respectively). Occupational social class (managers, professionals and clerical employees) was measured at baseline. Current smoking and covariates (age, marital status, body mass index, and self-rated health) were measured at baseline and follow-up. We assessed relative social class differences using the Relative Index of Inequality and absolute differences using the Slope Index of Inequality.

RESULTS

Social class differences in smoking were found in Britain and Finland, but not in Japan. Age-adjusted relative differences at baseline ranged from Relative Index of Inequality 3.08 (95% confidence interval 1.99-4.78) among Finnish men to 2.32 (1.24-4.32) among British women, with differences at follow-up greater by 8%-58%. Absolute differences remained stable and varied from Slope Index of Inequality 0.27 (0.15-0.40) among Finnish men to 0.10 (0.03-0.16) among British women. Further adjustment for covariates had modest effects on inequality indices.

CONCLUSIONS

Large social class differences in smoking persisted among British and Finnish men and women, with widening tendencies in relative differences over time. No differences could be confirmed among Japanese men or women.

IMPLICATIONS

Changes over time in social class differences in smoking are poorly understood across countries. Our study focused on employees from Britain, Finland and Japan, and found relative and absolute and class differences among British and Finnish men and women. Key covariates had modest effects on the differences. Relative differences tended to widen over the 4- to 7-year follow-up, whereas absolute differences remained stable. In contrast, class differences in smoking among Japanese men or women were not found. Britain and Finland are at the late stage of the smoking epidemic model, whereas Japan may not follow the same model.

Representativeness of the LifeLines Cohort Study

BACKGROUND

LifeLines is a large prospective population-based three generation cohort study in the north of the Netherlands. Different recruitment strategies were adopted: recruitment of an index population via general practitioners, subsequent inclusion of their family members, and online self-registration. Our aim was to investigate the representativeness of the adult study population at baseline and to evaluate differences in the study population according to recruitment strategy.

METHODS

Demographic characteristics of the LifeLines study population, recruited between 2006-2013, were compared with the total adult population in the north of the Netherlands as registered in the Dutch population register. Socioeconomic characteristics, lifestyle, chronic diseases, and general health were further compared with participants of the Permanent Survey of Living Conditions within the region (2005-2011, N = 6,093). Differences according to recruitment strategy were assessed.

RESULTS

Compared with the population of the north of the Netherlands, LifeLines participants were more often female, middle aged, married, living in a semi-urban place and Dutch native. Adjusted for differences in demographic composition, in LifeLines a smaller proportion had a low educational attainment (5% versus 14%) or had ever smoked (54% versus 66%). Differences in the prevalence of various chronic diseases and low general health scores were mostly smaller than 3%. The age profiles of the three recruitment groups differed due to age related inclusion criteria of the recruitment groups. Other differences according to recruitment strategy were small.

CONCLUSIONS

Our results suggest that, adjusted for differences in demographic composition, the LifeLines adult study population is broadly representative for the adult population of the north of the Netherlands. The recruitment strategy had a minor effect on the level of representativeness. These findings indicate that the risk of selection bias is low and that risk estimates in LifeLines can be generalized to the general population.