Testing the validity of online psychophysical measurement of body image perception

This body image study tests the viability of transferring a complex psychophysical paradigm from a controlled in-person laboratory task to an online environment. 172 female participants made online judgements about their own body size when viewing images of computer-generated female bodies presented in either in front-view or at 45-degrees in a method of adjustment (MOA) paradigm. The results of these judgements were then compared to the results of two laboratory-based studies (with 96 and 40 female participants respectively) to establish three key findings. Firstly, the results show that the accuracy of online and in-lab estimates of body size are comparable, secondly that the same patterns of visual biases in judgements are shown both in-lab and online, and thirdly online data shows the same view-orientation advantage in accuracy in body size judgements as the laboratory studies. Thus, this study suggests that that online sampling potentially represents a rapid and accurate way of collecting reliable complex behavioural and perceptual data from a more diverse range of participants than is normally sampled in laboratory-based studies. It also offers the potential for designing stratified sampling strategies to construct a truly representative sample of a target population.

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.

Health and Wellbeing of Regional and Rural Australian Healthcare Workers during the COVID-19 Pandemic: Baseline Cross-Sectional Findings from the Loddon Mallee Healthcare Worker COVID-19 Study-A Prospective Cohort Study

BACKGROUND

Coronavirus 19 (COVID-19) has created complex pressures and challenges for healthcare systems worldwide; however, little is known about the impacts COVID-19 has had on regional/rural healthcare workers. The Loddon Mallee Healthcare Worker COVID-19 Study (LMHCWCS) cohort was established to explore and describe the immediate and long-term impacts of the COVID-19 pandemic on regional and rural healthcare workers.

METHODS

Eligible healthcare workers employed within 23 different healthcare organisations located in the Loddon Mallee region of Victoria, Australia, were included. In this cohort study, a total of 1313 participants were recruited from November 2020-May 2021. Symptoms of depression, anxiety, post-traumatic stress, and burnout were measured using the Patient Health Questionnaire-9 (PHQ-9), Generalised Anxiety Disorder-7 (GAD-7), Impact of Events Scale-6 (IES-6), and Copenhagen Burnout Inventory (CBI), respectively. Resilience and optimism were measured using the Brief Resilience Scale and Life Orientation Test-Revised (LOT-R), respectively. Subjective fear of COVID-19 was measured using the Fear of COVID-19 Scale.

RESULTS

These cross-sectional baseline findings demonstrate that regional/rural healthcare workers were experiencing moderate/severe depressive symptoms (n = 211, 16.1%), moderate to severe anxiety symptoms (n = 193, 14.7%), and high personal or patient/client burnout with median total scores of 46.4 (IQR = 28.6) and 25.0 (IQR = 29.2), respectively. There was a moderate degree of COVID-19-related fear. However, most participants demonstrated a normal/high degree of resilience (n = 854, 65.0%). Based on self-reporting, 15.4% had a BMI from 18.5 to 24.9 kgm2 and 37.0% have a BMI of 25 kgm2 or over. Overall, 7.3% of participants reported they were current smokers and 20.6% reported alcohol consumption that is considered moderate/high-risk drinking. Only 21.2% of the sample reported consuming four or more serves of vegetables daily and 37.8% reported consuming two or more serves of fruit daily. There were 48.0% the sample who reported having poor sleep quality measured using the Pittsburgh Sleep Quality Index (PSQI).

CONCLUSION

Regional/rural healthcare workers in Victoria, Australia, were experiencing a moderate to high degree of psychological distress during the early stages of the pandemic. However, most participants demonstrated a normal/high degree of resilience. Findings will be used to inform policy options to support healthcare workers in responding to future pandemics.

Reducing weight bias and stigma in qualitative research interviews: Considerations for researchers

Perceptions and biases influence how we interact with and experience the world, including in professional roles as researchers. Weight bias, defined as negative attitudes or perceptions towards people that have large bodies, can contribute to weight stigma and discrimination leading to negative health and social consequences. Weight bias is experienced by people living with obesity in media, health care, education, employment and social settings. In research settings, there is potential for weight bias to impact various aspects of qualitative research including the participant-researcher dynamic in interviews. However, evidence-based strategies to reduce weight bias in qualitative research interviews have yet to be identified. We discuss how weight bias may influence research interviews and identify several considerations and strategies for researchers to minimize the impact of weight bias. Strategies include practicing reflexivity, planning and conducting interviews in ways that support rapport building, using inclusive language, and considering participatory methods.

The relationship between weight-related indicators and depressive symptoms during adolescence and adulthood: results from two twin studies

BACKGROUND

The association between weight and depressive symptoms is well established, but the direction of effects remains unclear. Most studies rely on body mass index (BMI) as the sole weight indicator, with few examining the aetiology of the association between weight indicators and depressive symptoms.

METHODS

We analysed data from the Twins Early Development Study (TEDS) and UK Adult Twin Registry (TwinsUK) (7658 and 2775 twin pairs, respectively). A phenotypic cross-lagged panel model assessed the directionality between BMI and depressive symptoms at ages 12, 16, and 21 years in TEDS. Bivariate correlations tested the phenotypic association between a range of weight indicators and depressive symptoms in TwinsUK. In both samples, structural equation modelling of twin data investigated genetic and environmental influences between weight indicators and depression. Sensitivity analyses included two-wave phenotypic cross-lagged panel models and the exclusion of those with a BMI <18.5.

RESULTS

Within TEDS, the relationship between BMI and depression was bidirectional between ages 12 and 16 with a stronger influence of earlier BMI on later depression. The associations were unidirectional thereafter with depression at 16 influencing BMI at 21. Small genetic correlations were found between BMI and depression at ages 16 and 21, but not at 12. Within TwinsUK, depression was weakly correlated with weight indicators; therefore, it was not possible to generate precise estimates of genetic or environmental correlations.

CONCLUSIONS

The directionality of the relationship between BMI and depression appears to be developmentally sensitive. Further research with larger genetically informative samples is needed to estimate the aetiological influence on these associations.

Why may patients with spinal cord injury be overlooked for obesity screening in the Veterans Health Administration? Qualitative research of the perspectives of patients and healthcare providers

PURPOSE

We sought to describe factors influencing reduced rates of obesity screening for patients with spinal cord injury (SCI) in the United States Veterans Health Administration (VA) and to foster potential solutions.

MATERIALS AND METHODS

Semi-structured interviews with healthcare providers and patients with SCI who were recruited nationally from diverse VAs. We performed rapid qualitative analysis using content analysis of interview data.

RESULTS

There were 36 providers and 37 patients. We identified provider, patient, and system level barriers to obesity screening for individuals with SCI. Overarching barriers involved provider and patient perceptions that obesity screening is a low priority compared to other health conditions, and body mass index is of low utility. Other obesity screening barriers were related to measuring weight (i.e., insufficient equipment, unknown wheelchair weight, staffing shortages, measurement errors, reduced access to annual screening, insufficient time, patient preference not to be weighed) and measuring height (i.e., insufficient guidance and equipment to this population, measurement errors).

CONCLUSIONS

Barriers to obesity screenings exist for patients with SCI receiving care in VA. Healthcare provider and patient interviews suggest possible solutions, including standardizing height and weight measurement processes, ensuring equipment availability in clinics, clarifying guidelines, and offering support to providers and patients.IMPLICATIONS FOR REHABILITATIONIndividuals with spinal cord injury (SCI) have higher rates of obesity, but are often overlooked for annual obesity screening, even in clinic settings designed to care for individuals with SCI.Results may help tailor guidelines/education for healthcare and rehabilitation providers offering them guidance for improving obesity screening for individuals with SCI by standardizing weight and height measurement and documentation. To facilitate this, findings highlight the need for resources, such as ensuring clinics have necessary equipment, and increasing patient access to support and equipment.Improving the provision of obesity screening for individuals with SCI is necessary to improve health outcomes and patient satisfaction with care.

Maternal diet and interactions with nutritional evaluation during pregnancy

This narrative review aims to describe the knowledge regarding nutritional evaluation and monitoring in pregnant women. We discuss care provided by non-specialists in nutrition, regarding dietary information and risks during pregnancy, from a theoretical or conceptual viewpoint. A narrative review was conducted following a literature search when scientific databases were investigated, including SciELO, LILACS, Medline, PubMed, theses, government reports, books, and chapters in books. Finally, the material was fully read, categorized, and critically analyzed. National and international protocols of prenatal nutritional care were included and discussed. Different protocols describe the complexity of evaluating and monitoring nutrition among pregnant women during the prenatal period according to each country. The understanding of social conditions and eating habits has an important role in providing nutritional advice during pregnancy. The lack of dietitians in care overwhelms the healthcare workers and characterizes a missed opportunity. Therefore, it is important to consider rapid support tools that can track adverse nutritional status, and ways to recommend a diet that meets eating habit dynamics, according to the reality of each public health system.

Are self-reported anthropometric data reliable enough to meet antibiotic prophylaxis guidelines in orthopedic surgery?

BACKGROUND

Surgical site infection is a serious complication in orthopedic surgery. The use of antibiotic prophylaxis (AP) combined with other prevention strategies has been shown to reduce this risk to 1% for hip arthroplasty and 2% for knee arthroplasty. The French Society of Anesthesia and Intensive Care Medicine (SFAR) recommends doubling the dose when the patient's weight is greater than or equal to 100 kg, and the body mass index (BMI) is greater than or equal to 35 kg/m2. Similarly, patients with a BMIgreater than40 kg/m2 orlesser than18 kg/m2 are ineligible for surgery in our hospital. Self-reported anthropometric measurements are commonly used in clinical practice to calculate BMI, but their validity has not been assessed in the orthopedic literature. Therefore, we conducted a study comparing self-reported with systematically measured values and observed the impact these differences may have on perioperative AP regimens and contra-indications to surgery.

HYPOTHESIS

The hypothesis of our study was that self-reported anthropometric values differed from those measured during preoperative orthopedic consultations.

MATERIALS AND METHODS

This single-center retrospective study with prospective data collection was conducted between October and November 2018. The patient-reported anthropometric data were first collected and then directly measured by an orthopedic nurse. Weight was measured with a precision of 500 g and height was measured with a precision of 1 cm.

RESULTS

A total of 370 patients (259 women and 111 men) with a median age of 67 years (17-90) were enrolled. The data analysis found significant differences between the self-reported and measured height [166 cm (147-191) vs. 164 cm (141-191) (p<0.0001)], weight [72.9 kg (38-149) vs. 73.1 kg (36-140) (p<0.0005)] and BMI [26.3 (16.2-46.4) vs. 27 (16-48.2) (p<0.0001)]. Of these patients, 119 (32%) reported an accurate height, 137 (37%) an accurate weight, and 54 (15%) an accurate BMI. None of the patients had two accurate measurements. The maximum underestimation was 18 kg for weight, 9 cm for height, and 6.15 kg/m2 for BMI. The maximum overestimation was 28 kg for weight, 10 cm for height, and 7.2 kg/m2 for BMI. The verification of the anthropometric measurements identified another 17 patients who had contra-indications to surgery (12 with a BMI>40 kg/m2 and 5 with a BMI<18 kg/m2) and who would not have been detected based on the self-reported values.

CONCLUSIONS

Although patients underestimated their weight and overestimated their height in our study, these had no impact on the perioperative AP regimens. However, this misreporting failed to detect potential contraindications to surgery.

LEVEL OF EVIDENCE

IV; retrospective study with prospective data collection and no control group.

The association between alcohol intake and obesity in a sample of the Irish adult population, a cross-sectional study

BACKGROUND

Obesity epidemic is one of the most serious public health challenges of the twenty-first century. Alcohol has been studied as a possible risk factor for obesity, but the evidence is discordant. This study examined the association between alcohol consumption and obesity in a sample of the Irish adult population.

METHOD

An analytical cross-sectional study was conducted using secondary data from the 2017 Healthy Ireland Survey. The primary survey recruited patients using a two-stage probability-based technique and a face-to-face-administered questionnaire to collect data. Descriptive and comparative data were analysed to identify associations between alcohol-related variables with waist circumference (WC) and body mass index (BMI). Regression analysis was performed to examine the associations between harmful alcohol consumption (AUDIT-C score ≥ 5) (exposure variable) and obesity indicators (WC and BMI), the primary outcomes of interest. Adjustments were made for sociodemographic, health-related, and other alcohol-related variables.

RESULTS

Total of 6864 participants, aged 25 and older, took part in this survey (response rate = 60.4%). Most of the participants (81.9%) were alcohol drinkers, with the majority drinking less than three times per week (76.3%); 47.7% were considered harmful drinkers (AUDIT-C score ≥ 5). After controlling for possible confounders, positive associations of harmful alcohol consumption with WC (β = 1.72, 95% CI: 0.25, 3.19) and BMI (OR = 1.47, 95% CI: 1.10, 1.96) were observed. Binge drinking was positively associated with WC (β = 1.71, 95% CI: 0.50, 2.91), while alcohol consumption frequency was significantly and inversely associated with BMI (OR = 0.59, 95% CI: 0.44, 0.78).

CONCLUSION

Harmful alcohol consumption was associated with obesity (high BMI, large WC) after controlling for possible confounders. Frequent binge drinkers were more likely to have a large WC, while frequent alcohol consumers were less likely to have obesity. Further longitudinal studies to examine the exact association between alcohol consumption and obesity are warranted.

Association of participants who screened positive for night eating syndrome with physical health, sleep problems, and weight status in an Australian adult population

BACKGROUND

Night eating syndrome (NES) is a unique eating disorder characterised by evening hyperphagia and nocturnal ingestions which cause significant distress and/or impairment in functioning. Despite the growing literature, NES remains poorly understood and under diagnosed. As such, this study aims to compare the prevalence of physical health conditions in participants with NES when compared to participants without an eating disorder (ED) and participants with other eating disorders (including anorexia nervosa (AN), binge eating disorder (BED) and bulimia nervosa (BN)) in a general population Australian sample of adults.

METHODS

The data for this study were obtained from the 2017 Health Omnibus Survey (HOS) a multi-stage, cross-sectional survey, conducted by Harrison Research in South Australia. This current study focused on 2547 participants over 18 years of age and specific questions from this population survey including those related to participant demographics and health.

RESULTS

This study identified that participants who screened positive for night eating syndrome (spNES) when compared to participants with other eating disorders (ED) or no ED diagnosis, were significantly more likely to have an increased age, be female, have lower levels of education and have lower household income. Additionally, the spNES group was significantly associated with sleep apnoea (p = 0.031), insomnia or other sleep problems (p < 0.0001), increased BMI (p < 0.0001), increased levels of pain/discomfort and lower physical health-related quality of life. Hypertension, hypercholesterolemia, and diabetes were not significantly associated with the spNES group or the "other ED" group which included participants with AN, BED, BN.

CONCLUSIONS

Several physical health problems were found to be significantly associated with the spNES group including sleep problems, increased BMI, increased levels of pain and lower self-reported physical health-related quality of life. Consequently, future research exploring the complex interaction between NES and these medical conditions may provide further insight into the diagnosis, screening tools and management of NES. Additionally, this study highlights the need for future studies which use larger population-based samples.

LEVEL OF EVIDENCE

Level III. Evidence obtained from well-designed cohort or case-control analytic studies.

Sleep duration, sleep quality and the risk of being obese: Evidence from the Australian panel survey

BACKGROUND

Sleep difficulty is an unmet public health concern affecting a vast proportion of the world's population. Poor sleep duration (short or long sleep length) and quality affect more than half of older people. Sleep difficulty is associated with negative health outcomes such as obesity and reduced longevity. We aimed to assess whether poor sleep duration and quality are significant risk factors for obesity in adults aged 15 and over in Australia by examining a nationally representative panel data.

METHODS

We used three waves (waves 13, 17, and 21) of the nationally representative Household, Income and Labour Dynamics in Australia (HILDA) survey data. The study applied generalized estimating equations (GEE) logistic regression model to assess the relationship between sleep duration and quality with obesity.

RESULTS

The study found that the odds of being obese was significantly higher amongst the study participants with poor sleep duration (adjusted odds ratio [aOR]: 1.24, 95% confidence interval [CI]: 1.16-1.32) and poor sleep quality (aOR: 1.29, 95% CI: 1.02-1.38) compared with their counterparts who had good sleep duration and quality, respectively.

CONCLUSION

Having short or long sleep at night and poor sleep quality are associated with an increased risk of obesity. Obesity poses a significant threat to the health of Australian adults. Enacting policies that raise public awareness of the significance of good sleep hygiene and encouraging healthy sleeping habits should be considered to address the alarming rise in the obesity rate.

Newly diagnosed type 2 diabetes - does New Zealand General Practice adequately prepare patients to self-manage their Condition?

BACKGROUND

Type 2 diabetes mellitus (T2D) is predominantly managed in primary care, and patients need to be provided with appropriate knowledge and education to understand how to best self-manage their condition. For optimal T2D self-management, primary care teams should share this information from the time of diagnosis. Little is currently known about how and when these resources are being provided to patients with T2D in New Zealand.

METHODS

An online survey was carried out between Oct 2022 and Feb 2023. Patients diagnosed with T2D after Jan 2020 were invited to participate, with recruitment occurring via primary care and social media. Questions included information about demographics, diagnosis, provision of education resources and/or referral services as well as about current diabetes management. All responses were analysed with chi square tests. Free-text comments were summarised only.

RESULTS

A total of 203 participants from across New Zealand completed the survey, but 18 were excluded due to being diagnosed more than 3 years ago, or self-reporting with type 1 diabetes rather than T2D. Nearly three quarters (70.7%) of participants reported that they were given appropriate resources to understand and manage their T2D, though half of these would have like more information. Overall, family and friends, self-led research and healthcare-provided education were equally useful, though this differed by ethnic groups. Similarly, approx. 70% of patients thought that medications had been well explained. Free text comments suggested a need for more targeted information around food choice and insulin use as well as a need for empathy and appropriate language from healthcare providers.

CONCLUSIONS

Primary care appears to be providing most newly diagnosed patients with appropriate resources to understand and manage their T2D, but there is room for improvement with up to a third of participants not understanding how to manage foods, medication and lifestyle choices to optimise health outcomes. Further work is required to address this gap and should include the use of culturally-appropriate materials to meet the multi-ethnic population needs.

Higher body weight-dependent neural activation during reward processing

Obesity is associated with alterations in brain structure and function, particularly in areas related to reward processing. Although brain structural investigations have demonstrated a continuous association between higher body weight and reduced gray matter in well-powered samples, functional neuroimaging studies have typically only contrasted individuals from the normal weight and obese body mass index (BMI) ranges with modest sample sizes. It remains unclear, whether the commonly found hyperresponsiveness of the reward circuit can (a) be replicated in well-powered studies and (b) be found as a function of higher body weight even below the threshold of clinical obesity. 383 adults across the weight spectrum underwent functional magnetic resonance imaging during a common card-guessing paradigm simulating monetary reward. Multiple regression was used to investigate the association of BMI and neural activation in the reward circuit. In addition, a one-way ANOVA model comparing three weight groups (normal weight, overweight, obese) was calculated. Higher BMI was associated with higher reward response in the bilateral insula. This association could no longer be found when participants with obesity were excluded from the analysis. The ANOVA revealed higher activation in obese vs. lean, but no difference between lean and overweight participants. The overactivation of reward-related brain areas in obesity is a consistent finding that can be replicated in large samples. In contrast to brain structural aberrations associated with higher body weight, the neurofunctional underpinnings of reward processing in the insula appear to be more pronounced in the higher body weight range.

Self-reported and measured anthropometric variables in association with cardiometabolic markers: A Danish cohort study

General obesity is a recognized risk factor for various metabolically related diseases, including hypertension, dyslipidemia, and pre-diabetes. In epidemiological studies, anthropometric variables such as height and weight are often self-reported. However, misreporting of self-reported data may bias estimates of associations between anthropometry and health outcomes. Further, few validation studies have compared self-reported and measured waist circumference (WC). This study aimed to quantify the agreement between self-reported and measured height, weight, body mass index (BMI), WC, and waist-to-height ratio (WHtR), and to investigate associations of these anthropometric measures with cardiometabolic biomarkers. A total of 39,514 participants aged above 18 years were included into the Diet, Cancer, and Health-Next Generation Cohort in 2015-19. Self-reported and measured anthropometric variables, blood pressure, and cardiometabolic biomarkers (HbA1c, lipid profiles, C-reactive protein and creatinine) were collected by standard procedures. Pearson correlations (r) and Lin's concordance correlations were applied to evaluate misreporting. Misreporting by age, sex and smoking status was investigated in linear regression models. Multivariable regression models and Receiver Operating Characteristic analyses assessed associations of self-reported and measured anthropometry with cardiometabolic biomarkers. Self-reported height was overreported by 1.07 cm, and weight was underreported by 0.32 kg on average. Self-reported BMI and WC were 0.42 kg/m2 and 0.2 cm lower than measured, respectively. Self-reported and measured height, weight, BMI, WC and WtHR were strongly correlated (r = 0.98, 0.99, 0.98, 0.88, 0.86, respectively). Age, sex, smoking, and BMI contributed to misreporting of all anthropometric measures. Associations between self-reported or measured anthropometric measures and cardiometabolic biomarkers were similar in direction and strength. Concordance between self-reported and measured anthropometric measures, including WC, was very high. Self-reported anthropometric measures were reliable when estimating associations with cardiometabolic biomarkers.

Socio-geographical disparities of obesity and excess weight in adults in Spain: insights from the ENE-COVID study

Background

In Spain, differences in the prevalence of obesity and excess weight according to sex and sociodemographic factors have been described at the national level, although current data do not allow to delve into geographical differences for these conditions. The aim was to estimate national and regional prevalences of adult obesity and excess weight in Spain by sex and sociodemographic characteristics, and to explore difference sources of inequalities in its distribution, as well as its geographical pattern.

Method

ENE-COVID study was a nationwide representative seroepidemiological survey with 57,131 participants. Residents in 35,893 households were selected from municipal rolls using a two-stage random sampling stratified by province and municipality size (April-June 2020). Participants (77.0% of contacted individuals) answered a questionnaire which collected self-reported weight and height, as well as different socioeconomic variables, that allowed estimating crude and standardized prevalences of adult obesity and excess weight.

Results

Crude prevalences of obesity and excess weight were higher in men (obesity: 19.3% vs. 18.0%; excess weight: 63.7% vs. 48.4%), while severe obesity was more prevalent in women (4.5% vs. 5.3%). These prevalences increased with age and disability, and decreased with education, census tract income and municipality size. Differences by educational level, relative census income, nationality or disability were clearly higher among women. Obesity by province ranged 13.3-27.4% in men and 11.4-28.1% in women; excess weight ranged 57.2-76.0% in men and 38.9-59.5% in women. The highest prevalences were located in the southern half of the country and some north-western provinces. Sociodemographic characteristics only explained a small part of the observed geographical variability (25.2% obesity).

Conclusion

Obesity and overweight have a high prevalence in Spain, with notable geographical and sex differences. Socioeconomic inequalities are stronger among women. The observed geographical variability suggests the need to implement regional and local interventions to effectively address this public health problem.

State-Specific Prevalence of Severe Obesity Among Adults in the US Using Bias Correction of Self-Reported Body Mass Index

INTRODUCTION

Adults with severe obesity are at increased risk for poor metabolic health and may need more intensive clinical and community supports. The prevalence of severe obesity is underestimated from self-reported weight and height data. We examined severe obesity prevalence among US adults by sociodemographic characteristics and by state after adjusting for self-report bias.

METHODS

Using a validated bias-correction method, we adjusted self-reported body mass index (BMI) data from the 2020 Behavioral Risk Factor Surveillance System (BRFSS) by using measured data from the National Health and Nutrition Examination Survey. We compared bias-corrected prevalence of severe obesity (BMI ≥40) with self-reported estimates by sociodemographic characteristics and state.

RESULTS

Self-reported BRFSS data significantly underestimated the prevalence of severe obesity compared with bias-corrected estimates. In 2020, 8.8% of adults had severe obesity based on the bias-corrected estimates, whereas 5.3% of adults had severe obesity based on self-reported data. Women had a significantly higher prevalence of bias-corrected severe obesity (11.1%) than men (6.5%). State-level prevalence of bias-corrected severe obesity ranged from 5.5% (Massachusetts) to 13.2% (West Virginia). Based on bias-corrected estimates, 16 states had a prevalence of severe obesity greater than 10%, a level not seen in the self-reported estimates.

CONCLUSION

Self-reported BRFSS data underestimated the overall prevalence of severe obesity by 40% (5.3% vs 8.8%). Accurate state-level estimates of severe obesity can help public health and health care decision makers prioritize and plan to implement effective prevention and treatment strategies for people who are at high risk for poor metabolic health.

National Health Examination Surveys: an essential piece of the health planning puzzle

National health examination surveys (HESs) have been developed to provide important information that cannot be obtained from other sources. A HES combines information obtained by asking participants questions with biophysical measurements taken by trained field staff. They are observational studies with the highest external validity and make specific contributions to both population (public health) and individual health. Few countries have a track record of a regular wide-ranging HES, but these are the basis of many reports and scientific papers. Despite this, little evidence about HES usefulness and impact or the factors that influence HES effectiveness have been disseminated. This paper presents examples of HES contributions to society in both Europe and the Americas. We sought information by emailing a wide list of people involved in running or using national HESs across Europe and the Americas. We asked for examples of where examination data from their HES had been used in national or regional policymaking. We found multiple examples of HES data being used for agenda-setting, including by highlighting nutritional needs and identifying underdiagnosis and poor management of certain conditions. We also found many ways in which HES have been used to monitor the impact of policies and define population norms. HES data have also been used in policy formation and implementation. HES data are influential and powerful. There is need for global support, financing and networking to transfer capacities and innovation in both fieldwork and laboratory technology.

Associations of Post-Diagnosis Lifestyle with Prognosis in Women with Invasive Breast Cancer

BACKGROUND

Lifestyle habits can impact breast cancer development, but its impact on breast cancer prognosis remains unclear. We investigated associations of post-diagnosis lifestyle with mortality and recurrence in 1,964 women with invasive breast cancer enrolled in the Kaiser Permanente Northern California Pathways Study shortly after diagnosis with lifestyle information at baseline (2005-2013) and the 2-year follow-up.

METHODS

We calculated a post-diagnosis lifestyle score (range, 0-18) based on 9 diet, physical activity, and body weight recommendations from the American Cancer Society/American Society of Clinical Oncology (ACS/ASCO) using follow-up data (body weight also included baseline data); higher scores indicate greater guideline concordance. Similarly, we calculated a pre-diagnosis lifestyle score using baseline data to investigate pre- to post-diagnosis changes. We estimated hazard ratios (HR) and 95% confidence intervals (CI) using Cox proportional hazard models, with follow-up through December 2018 (observing 290 deaths and 176 recurrences).

RESULTS

The 2-year post-diagnosis lifestyle score was inversely associated with all-cause mortality (ACM; HR per 2-point increase = 0.90; 95% CI, 0.82-0.98), and breast cancer-related mortality (HR, 0.79; 95% CI, 0.67-0.95), but not recurrence. Relative to women who maintained low concordance with recommendations at both time points, women who maintained high concordance had a lower risk of ACM (HR, 0.61, 95% CI, 0.37-1.03). Improved concordance with some specific recommendations (particularly PA) may be associated with a lower hazard of ACM (HRPA, 0.52; 95% CI, 0.35-0.78).

CONCLUSIONS

Results suggest that women with breast cancer may benefit from a post-diagnosis lifestyle aligned with ACS/ASCO guidelines.

IMPACT

This information may potentially guide lifestyle recommendations for breast cancer survivors to reduce mortality risk.

Longitudinal associations of sedentary behavior and physical activity with body composition in colorectal cancer survivors up to 2 years post treatment

PURPOSE

We investigated longitudinal associations of sedentary behavior, light-intensity physical activity (LPA) and moderate-to-vigorous physical activity (MVPA) with body composition in colorectal cancer (CRC) survivors, between 6 weeks and 24 months post treatment. In addition, we explored whether body composition mediated associations of sedentary behavior and MVPA with fatigue.

METHODS

A prospective cohort study was conducted in 459 stage I-III CRC patients recruited at diagnosis. Measurements were performed of accelerometer-assessed sedentary time (hours/day), self-reported LPA and MVPA (hours/week), anthropometric assessment of body mass index (BMI), waist circumference and fat percentage (measures of adiposity), and muscle circumference and handgrip strength (measures of muscle mass/function) repeated at 6 weeks, and 6, 12 and 24 months post treatment. Longitudinal associations of sedentary time and physical activity with body composition were analyzed using confounder-adjusted linear mixed models. Mediation analyses were performed to explore the role of body mass index (BMI) and handgrip strength as mediators in associations of sedentary time and MVPA with fatigue.

RESULTS

Less sedentary time and LPA were, independent of MVPA, longitudinally associated with increased handgrip strength, but not with measures of adiposity. More MVPA was associated with increased adiposity and increased handgrip strength. Higher BMI partly mediated associations between higher sedentary time and more fatigue.

CONCLUSION

Within the first two years after CRC treatment, changes in sedentary behavior, physical activity and body composition are interrelated and associated with fatigue. Intervention studies are warranted to investigate causality.

TRIAL REGISTRATION

The EnCoRe study is registered at trialregister.nl as NL6904 (former ID: NTR7099).

Fall Risk in Adult Family Practice Non-Attenders: A Cross-Sectional Study from Slovenia

Introduction

Not much is known about the fall risk among the adult population of those who rarely visit doctors. We wanted to determine the prevalence of increased fall risk in a population of family practice non-attenders and the factors associated with it.

Methods

We included participants from family medicine practices in this cross-sectional study. To be included in the study, the participants had to be adults living in the community (home-dwelling people) who had not visited their chosen family physician in the last five years (non-attenders). The identification of the eligible persons was done through a search of electronic medical records, which yield 2,025 non-attenders. Community nurses collected data in the participants’ homes. The outcome measure was increased fall risk as assessed by the Morse fall scale: increased risk (≥25) vs. no risk.

Results

The sample consisted of 1,945 patients (96.0% response rate) with a mean age of 60.4 years (range 20.5 to 99.7 years). An increased fall risk was determined in 482 or 24.8% (95% CI: [22.9, 26.8]) of the patients. The multivariate model showed a significant association of increased fall risk with higher age (p<0.001), lower systolic blood pressure (p=0.047), poor family function (p=0.016), increased risk of malnutrition (p=0.013), higher number of chronic diseases (p=0.027), higher pain intensity (p<0.001), lower self-assessment of current health (p=0.002), and higher dependence in daily activities (p<0.001).

Conclusion

Non-attenders may have an increased risk of falling which depends on their health status and age. The inclusion of community nurses in primary healthcare teams could be of use not only to identify the non-attenders’ health needs, but also to better manage their health, especially the factors that were identified to be associated with greater fall risk.

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.

Obesity as an independent risk factor for COVID-19 severity and mortality

BACKGROUND

Since December 2019, the world has struggled with the COVID-19 pandemic. Even after the introduction of various vaccines, this disease still takes a considerable toll. In order to improve the optimal allocation of resources and communication of prognosis, healthcare providers and patients need an accurate understanding of factors (such as obesity) that are associated with a higher risk of adverse outcomes from the COVID-19 infection.

OBJECTIVES

To evaluate obesity as an independent prognostic factor for COVID-19 severity and mortality among adult patients in whom infection with the COVID-19 virus is confirmed.

SEARCH METHODS

MEDLINE, Embase, two COVID-19 reference collections, and four Chinese biomedical databases were searched up to April 2021.

SELECTION CRITERIA

We included case-control, case-series, prospective and retrospective cohort studies, and secondary analyses of randomised controlled trials if they evaluated associations between obesity and COVID-19 adverse outcomes including mortality, mechanical ventilation, intensive care unit (ICU) admission, hospitalisation, severe COVID, and COVID pneumonia. Given our interest in ascertaining the independent association between obesity and these outcomes, we selected studies that adjusted for at least one factor other than obesity. Studies were evaluated for inclusion by two independent reviewers working in duplicate.  DATA COLLECTION AND ANALYSIS: Using standardised data extraction forms, we extracted relevant information from the included studies. When appropriate, we pooled the estimates of association across studies with the use of random-effects meta-analyses. The Quality in Prognostic Studies (QUIPS) tool provided the platform for assessing the risk of bias across each included study. In our main comparison, we conducted meta-analyses for each obesity class separately. We also meta-analysed unclassified obesity and obesity as a continuous variable (5 kg/m2 increase in BMI (body mass index)). We used the GRADE framework to rate our certainty in the importance of the association observed between obesity and each outcome. As obesity is closely associated with other comorbidities, we decided to prespecify the minimum adjustment set of variables including age, sex, diabetes, hypertension, and cardiovascular disease for subgroup analysis.  MAIN RESULTS: We identified 171 studies, 149 of which were included in meta-analyses.  As compared to 'normal' BMI (18.5 to 24.9 kg/m2) or patients without obesity, those with obesity classes I (BMI 30 to 35 kg/m2), and II (BMI 35 to 40 kg/m2) were not at increased odds for mortality (Class I: odds ratio [OR] 1.04, 95% confidence interval [CI] 0.94 to 1.16, high certainty (15 studies, 335,209 participants); Class II: OR 1.16, 95% CI 0.99 to 1.36, high certainty (11 studies, 317,925 participants)). However, those with class III obesity (BMI 40 kg/m2 and above) may be at increased odds for mortality (Class III: OR 1.67, 95% CI 1.39 to 2.00, low certainty, (19 studies, 354,967 participants)) compared to normal BMI or patients without obesity. For mechanical ventilation, we observed increasing odds with higher classes of obesity in comparison to normal BMI or patients without obesity (class I: OR 1.38, 95% CI 1.20 to 1.59, 10 studies, 187,895 participants, moderate certainty; class II: OR 1.67, 95% CI 1.42 to 1.96, 6 studies, 171,149 participants, high certainty; class III: OR 2.17, 95% CI 1.59 to 2.97, 12 studies, 174,520 participants, high certainty). However, we did not observe a dose-response relationship across increasing obesity classifications for ICU admission and hospitalisation.

AUTHORS' CONCLUSIONS

Our findings suggest that obesity is an important independent prognostic factor in the setting of COVID-19. Consideration of obesity may inform the optimal management and allocation of limited resources in the care of COVID-19 patients.

Misreporting of height and weight by primary school children in Japan: a cross-sectional study on individual and environmental determinants

BACKGROUND

Appropriate body constitution during childhood is important for future health. However, it has been suggested that thinness is increasing among adolescent girls and boys in Japan. Since misreporting of height/weight may be a possible reflection of the child's ideal body image, we investigated the magnitude and direction of height/weight misreporting and its determinants among Japanese young adolescents.

METHODS

A total of 1019 children in public primary schools were included in the analysis. Both measured and self-reported values of height/weight were obtained. Misreporting of height/weight was calculated by subtracting the measured value from the self-reported value. The association between misreporting and several variables such as the BMI z-score of individuals and body constitution of surrounding children was explored by multivariate linear mixed models.

RESULTS

As BMI z-score increased, 'overreporting' of height by boys and 'underreporting' of height by girls became larger (p = 0.06 in boys, p = 0.02 in girls). Both boys and girls with a larger body size tended to underreport their weight (p < 0.01 in boys, p < 0.01 in girls). Boys who belonged to a school with a larger average BMI z-score were more likely to overreport their weight. This tendency was not observed for girls.

CONCLUSIONS

Self-reported height/weight was generally accurate in Japanese primary school children. However, even primary school children misreported their height/weight intentionally like adults, possibly due to social pressure to lose weight or that not to stand out. Thus, health education about appropriate body constitution should be provided from the beginning of adolescence, particularly for girls.

Evaluating agreement between clinic- and patient-reported outcomes for weight and co-morbidities at 1 year after bariatric surgery

BACKGROUND

Development of patient-reported outcomes (PROs) to include traditionally clinic-reported data has the potential to decrease the data-collection burden for patients and clinicians and increase follow-up rates. However, replacing clinic report by patient report requires that the data reasonably agree.

OBJECTIVE

To assess agreement between PROs and clinical registry data at 1 year after bariatric surgery.

SETTING

Not-for-profit organization, bariatric surgery data registry, PROs platform.

METHODS

Patient- and clinic-reported 1-year postoperative weight and co-morbidities were compared for matched PROs and registry records. The co-morbidities evaluated were diabetes, sleep apnea, hypertension, gastroesophageal reflux disease, and hyperlipidemia. Weight difference in pounds and nominal groupings (binary, 4-level) for co-morbidities were assessed for agreement between data sources using descriptive statistics, Bland-Altman plots, multiple regression, and kappa coefficients. Sensitivity analyses and follow-up by response method were examined.

RESULTS

Among 1130 patients with both 1-year PROs and registry weights, 95% of patient-reported weights were within 13 lb of the registry-recorded weight, and patients underreported their weight by ∼2 lb, on average. Percent agreement and kappa coefficients were highest for diabetes (n = 999; binary: 94%, κ = .72; 4-level: 86%, κ = .71) and lowest for gastroesophageal reflux disease (n = 1032; binary: 75%, κ = .40; 4-level: 57%, κ = .35). Of patients eligible for both PROs and registry 1-year follow-up, 21% had PROs only.

CONCLUSIONS

One-year patient- and clinic-reported weights and disease status for patients with diabetes and hypertension showed high agreement. The degree of bias from patient report was low. Patient report is a viable alternative to clinic report for certain objective measurements and may increase follow-up.

Obesity, lifestyle behaviours and psychological effects of the COVID-19 lockdown: A survey of patients attending a tertiary weight loss clinic

Lockdown measures due to coronavirus-19 disease (COVID-19) have impacted lifestyle factors. This study aimed to explore whether health and lifestyle behaviours changed during the 2020 COVID-19 lockdown among patients with obesity. A specifically designed online survey and the Depression Anxiety Stress Scale (DASS-21) were administered to patients scheduled to attend a tertiary weight management service between 6 June-12 August 2020. A total of 210 participants completed the survey; mean age (SD) was 52.1 (12.5) years, 69% female and 67% Caucasian. Only 1.4% had tested positive to COVID-19. There was a statistically significant increase in weight pre- and post-COVID-19 lockdown, with no sex differences. Most (61.3%) gained weight, 30.4% lost weight and 8.3% maintained. The majority changed their overall purchasing (88.4%) and eating behaviours (91.6%). Two-thirds (64%) reported they did some form of exercise during the lockdown. Of those, exercise declined in 56.8% and increased in 18%. DASS-21 scores were positively correlated to worry about COVID-19, eating fewer core foods and eating more convenient/treat foods and negatively correlated with exercise. The results provide insights into how and why behaviour change occurs during stressful periods like the COVID-19 pandemic. Although there was variability in individual weight trajectories, on average people with obesity gained weight and changed lifestyle behaviours during the COVID-19 lockdown period. Strategies and support for people with obesity are required at these times.

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.

Nutrition impact symptoms and the risk of malnutrition in people with Parkinson's disease: A cross-sectional study

BACKGROUND

People with Parkinson's disease (PD) often experience symptoms that affect their ability to eat. This may contribute to weight loss and increased risk of malnutrition. The present study aimed to quantify the extent of nutrition impact symptoms (NIS) in the population and a scoring system of NIS was incorporated in the tool used to identify malnutrition.

METHODS

In this cross-sectional study, members of the Norwegian Parkinson's Association, with any PD diagnosis and stage of illness, were invited to respond to an online 24-item questionnaire. Questions from two validated questionnaires, comprising the abridged Patient-Generated Subjective Global Assessment (aPG-SGA) and the Radboud Oral Motor Inventory for Parkinson's disease (ROMP), were adapted to an online format.

RESULTS

The questionnaire was sent to 3047 members, of which 508 persons (17%) responded (61% men). In total, 59% were categorised as well-nourished, 34% at risk of malnutrition and 6.5% as malnourished. One quarter of all participants reported symptoms that affected food intake. The most frequent symptoms were constipation (14.2%) and dry mouth (13.4%). Malnourished participants reported a mean ± SD of 3.4 ± 1.4 symptoms versus 0.1 ± 0.3 per well-nourished participant. Malnourished participants had more swallowing problems than well-nourished participants, with a mean ± SD total ROMP score of 15.5 ± 6.0 versus 9.0 ± 2.9 (p < 0.001). As the number of points in the ROMP score increased by one, the points in the aPG-SGA score increased with 37% (95% confidence interval = 0.309-0.428).

CONCLUSIONS

Risk of malnutrition was largely related to NIS, especially dysphagia in people with PD. Symptoms affecting food intake should be systematically mapped and treated in conjunction with PD to prevent malnutrition.

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.

A Systematic Review of Chronic Diseases and Their Prevalence Among the Population of Northern Borders Province (NBP) in Saudi Arabia

Estimation of the prevalence of chronic conditions is pivotal to effective healthcare planning and management. Therefore, our objective was to systemically review previous literature about the prevalence of chronic diseases among residents of Northern Borders Province (NBP) in Saudi Arabia. The electronic search has been done using scientific databases (PubMed, Ebsco, SciFinder, and Web of Science) and search engines up to September 2021. The following main key terms: chronic disease OR chronic conditions AND prevalence AND Northern Borders Province OR Northern Borders AND Saudi Arabia were applied. Other related terms with a more specific search were done with names of the main cities in the province and the most common diseases in Saudi Arabia. Duplicates were removed electronically by Endnote and manually. Extracted data were tabulated in the literature matrix. The risk of bias and quality of included studies were assessed using the "Strengthening the Reporting of Observational Studies in Epidemiology" (STROBE) checklist. Out of 63 observational studies that were assessed for eligibility, 21 observational studies were included to synthesize the evidence. These studies were conducted on Arar (n=16), Turaif (n=2), and Rafha (n=1), while the remaining were national studies in which NBP was one of the included regions (n=2). The most frequently studied diseases were diabetes (4 records), psychological diseases (4 records), and obesity (3 records). The most prevalent disease was gastroesophageal reflux disease (GERD), with an estimated prevalence of 61% among adults in Arar city. In conclusion, although some research is conducted about chronic diseases somewhere in NBP, further studies are needed to study chronic diseases using a representative sample of the whole NBP population.

Recruiting participants for ergonomic research using self-reported stature and body mass

BACKGROUND

A valid distribution of key anthropometric parameters among participants is often a perquisite of ergonomics research.

OBJECTIVE

In this paper, we investigated the accuracy of self-reported stature and body mass of the population in the Netherlands.

METHODS

Data from 4 experiments was synthesized where in each experiment, participants self-reported their stature and body mass prior to being measured, of which they were not notified before.

RESULTS

Statistical analysis of 249 records indicated that on average, participants overreported their stature by 1.31 cm and underreported their mass by 1.45 kg. This is especially true for people with a BMI≥25.

CONCLUSION

Two models were proposed to adjust the self-reported stature and body mass for ergonomic researchers in a survey or recruitment. Limitations in using the models are highlighted as well.

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.

Eating order and childhood obesity among preschoolers in China: A cross-sectional study

Background

Early childhood is a critical period for dietary education and development of good eating habits. However, few studies have investigated the effect of eating order in children and childhood obesity in real-world settings.

Objective

To examine whether the order in which meats/fish or vegetables are consumed affects the risk of obesity in preschoolers.

Methods

We conducted a population-based cross-sectional study using a self-administered online survey on the lifestyle and health behaviors of preschoolers in Taizhou, China. A total of 3,200 parents were invited to take part in the survey, and 2,049 of them completed the questionnaire. Children were classified as having a normal weight, overweight, or obesity using the definitions provided by the International Obesity Task Force, and z-scores for body mass index were calculated. We divided the children's eating order at the beginning of the meal into two groups: "vegetables before meats/fish" or "meats/fish before vegetables". We analyzed the relationship between what was consumed first at a meal and the overweight status of each child.

Results

No difference in body mass index was observed between the children eating meats/fish-first and the children eating vegetables-first during a meal. Children with parents who were affected by obesity were more likely to eat vegetables first. Among children of mothers with obesity, body mass index was significantly higher in the meats/fish-first group than that in the vegetable-first group (2.891 vs. 0.845, P = 0.007). In children whose mothers were affected by obesity, those that ate meats/fish first had a 12.21 times higher risk of being overweight compared with those that ate vegetables first (95% CI:1.22-121.74, P = 0.033).

Conclusion

Our findings suggest eating vegetables or meats/fish at the start of a meal does not affect weight status in preschoolers.

Healthy diets, lifestyle changes and well-being during and after lockdown: longitudinal evidence from the West Midlands

Background

'Lockdowns' to control the spread of COVID-19 in the UK affected many aspects of life and may have adversely affected diets. We aimed to examine (1) the effect of lockdowns on fruit and vegetable consumption, as a proxy for healthy diets more generally, and on weight and well-being, (2) whether any subgroup was particularly affected and (3) the barriers and facilitators to a healthy diet in lockdown.

Methods

We conducted a mixed-method longitudinal study, involving an online survey of 1003 adults in the West Midlands, UK, 494 of whom were surveyed at two different points in time. Our first time point was during stringent COVID-19 lockdown and the second during a period of more relaxed restrictions. We asked quantitative questions about fruit and vegetable consumption; physical activity, sociodemographic characteristics, body mass index and well-being and qualitative questions about the reasons behind reported changes.

Results

We find no evidence for decreased fruit and vegetable consumption during lockdown compared with afterwards. If anything, consumption increased by half a portion daily among women, particularly among those who normally have a long commute. This finding, combined with a significant increase in physical activity, suggests that behaviours were healthier during lockdown, consistent with higher self-reported health. However, well-being deteriorated markedly, and participants reported being heavier during the lockdown as well. Our qualitative data suggest that an abundance of resources (more time) supported higher fruit and vegetable consumption during lockdown, despite increased access issues.

Conclusions

Our results may assuage concerns that lockdowns adversely affected diets. They may point to the impact of commuting on diet, particularly for women. We add longitudinal evidence to a growing body of literature on the adverse effect of lockdown on mental health.

Compliance of participants undergoing a '5-2' intermittent fasting diet and impact on body weight

BACKGROUND

Intermittent fasting (IF) has grown in popularity as a weight loss tool, where caloric intake is fully/partially restricted on a recurring basis. This study aimed to assess compliance with IF fast-day calorie restriction and whether 5-2 IF leads to reduced overall energy intake, weight loss and compensatory increased energy intake on non-fast days.

METHOD

Participants completed diet diaries at baseline and 28 days post 5-2 IF in a repeated measures within-subjects design. 5-2 IF required restricted energy intake to 500 kcal/day (women), 650 kcal/day (men) on two 'fast' days/week whilst eating ad-libitum on other days.

RESULTS

52 participants were included (n = 42 female; age 44 ± 11.2yrs). Median weight loss after 28 days 5-2 IF was statistically significant (1.8 [-2 - 7.3 IQR = 2.2]kg; 2.8 [-2.7-11.2 IQR = 2.5]% p < 0.001). There was a significant reduction in total energy intake during 5-2 IF compared with pre-diet (median 1288.0 [IQR 423.8]kcal and median 1751.5 [IQR 505.3]kcal respectively, p < 0.001). Carbohydrate, protein and fat consumption proportionately reduced during 5-2 IF. Participants had significantly higher energy intake (p < 0.001) on non-fast days that followed a fast day (1928.4 ± 711.9 kcal) compared to non-fast days not following a fast day (1316.2 ± 310.0 kcal). 55.8% complied with fast day calorie restrictions.

CONCLUSION

5-2 IF was associated with significantly reduced energy intake, and weight loss over a 28-day period. Compliance rate was lower than most previous studies. Participants had significantly higher energy intake on non-fast days following fast days suggesting fasting may lead to over-compensation. Further research should investigate strategies to improve compliance and long-term sustainability of IF diets.

Internalized Homophobia, Body Dissatisfaction, Psychological Distress, and Nonsuicidal Self-Injury Among Young Sexual Minority Men in China

Purpose: Sexual minority men (SMM) have been shown to be at high risk of nonsuicidal self-injury (NSSI). Internalized homophobia, body dissatisfaction, and psychological distress have been found to be related to NSSI among SMM, but few studies have focused on the mechanisms underlying these associations. Thus, the current study was conducted to examine the association between internalized homophobia and NSSI, and whether body dissatisfaction and psychological distress mediate this relationship among young SMM in China. Methods: In total, 264 young SMM (mean age, 22.00 ± 2.86 years) in Henan Province, China, participated in the study. A set of questionnaires were used to assess participants' internalized homophobia, body fat dissatisfaction, muscularity dissatisfaction, psychological distress, and NSSI. Correlation and mediation analyses were used to examine the data. Results: Internalized homophobia correlated positively with NSSI (r = 0.24, p < 0.001) among young SMM in China. This relationship was partly mediated by body fat dissatisfaction, muscularity dissatisfaction, and psychological distress. Conclusion: The study findings suggest that internalized homophobia is a risk factor for NSSI among young SMM in China, and that body fat and muscle dissatisfaction and psychological distress underlie the association between internalized homophobia and NSSI. In developing interventions targeting NSSI among SMM, the findings of the current study should be considered to improve intervention outcomes.

Public beliefs about the consequences of living with obesity in the Republic of Ireland and Northern Ireland

Background

This study aimed to capture public beliefs about living with obesity, examine how these beliefs have changed over time and to explore whether certain characteristics were associated with them in a nationally representative sample of adults from the Republic of Ireland (RoI) and Northern Ireland (NI).

Methods

A cross-sectional survey employed a random quota sampling approach to recruit a nationally representative sample of 1046 adults across NI and RoI. Telephone interviews captured information on demographics; health behaviours & attitudes; and beliefs about the consequences of obesity (measured using the Obesity Beliefs Scale). Univariable analyses compared beliefs about the consequences of living with obesity between participants with a self-reported healthy weight and those living with overweight or obesity, and non-responders (those for whom weight status could not be ascertained due to missing data). Multiple linear regression examined associations between obesity-related beliefs and socio-demographics, self-rated health and perceived ability to change health behaviours. Multiple linear regression also compared changes in obesity-related beliefs between 2013 and 2020 in the RoI.

Results

Higher endorsement of the negative outcomes of obesity was significantly associated with living with a healthy weight, higher self-rated health, dietary quality and perceived ability to improve diet and physical activity. Those who lived with overweight, with obesity and non-responders were less likely to endorse the negative consequences of obesity. Those living with obesity and non-responders were also more likely to support there is an increased cost and effort in maintaining a healthy weight. Comparison with survey data from 2013 showed that currently, there is a greater endorsement of the health benefits of maintaining a healthy weight (p < 0001), but also of the increased costs associated with it (p < 0001).

Conclusion

Beliefs about the consequences of maintaining a healthy body weight are associated with individuals’ weight, self-rated health, diet and perceived ease of adoption of dietary and exercise-related improvements. Beliefs about the health risks of obesity and perceived greater costs associated with maintaining a healthy weight appear to have strengthened over time. Present findings are pertinent to researchers and policy makers involved in the design and framing of interventions to address obesity.

Supplementary information

The online version contains supplementary material available at 10.1186/s12889-022-14280-9.

FTO Common Obesity SNPs Interact with Actionable Environmental Factors: Physical Activity, Sugar-Sweetened Beverages and Wine Consumption

Genetic background is estimated to play >50% in common obesity etiology. FTO single nucleotide polymorphisms (SNPs) are strongly associated with BMI, typically in European cohorts. We investigated the interaction of common FTO SNPs with actionable environmental factors, namely physical activity, sugar-sweetened beverages (SSB) and wine consumption, and verified FTO common SNPs predisposition to obesity in the Israeli population. Adults’ (>18 years old, n = 1720) FTO common SNPs data and lifestyle and nutrition habits questionnaires were analyzed using binary logistic regression models, adjusted for confounding variables (age, sex) assuming dominant, recessive and additive genetic models. Eighteen FTO SNPs were associated with significant increased obesity risk and interacted with physical activity (p < 0.001), wine consumption (p < 0.014) and SSB consumption (p < 0.01). Inactive rs9939609 risk-allele carriers had significantly higher obesity risk compared to their active counterparts (OR = 2.54, 95% CI 1.91−3.39 and OR = 3.77, 95% CI 2.47−5.75; p < 0.001 with 3.1 and 3.5 BMI increment for heterozygotes and homozygotes, respectively). SSB consumption (≥1 serving/day) significantly raised obesity risk and wine consumption (1−3 drinks/weekly) significantly lowered obesity risk for rs9939609 risk-allele carriers (OR = 1.54, 95% CI 1.05−2.27; p = 0.028 and OR = 0.61, 95% CI 0.47−0.79; p < 0.001, respectively). Our findings demonstrate that actionable lifestyle factors modify the common FTO obesity risk in predisposed carriers, and they have personal and public health implications.

Is nutrition labeling associated with decreased obesity? A quantitative approach to nutritional health policy in Ecuador

Few studies assess consumer response to nutrition labeling, especially in less-developed countries. We analyzed the link between nutrition labeling and obesity in Ecuador using a representative cross-sectional sample of 29,770 individuals from the National Health and Nutrition Survey (ENSANUT) in 2018. Nutrition labeling reduced the probability of obesity in adolescent (12-18 years old) and adult (18-59 years old) people by 4% (CI: - 5.7, - 2.2) and 8.4% (CI: - 12.7, - 4.0), respectively. The magnitude of average treatment effect of using nutrition label on obesity ranged from 0.90 (CI: - 1.299, - 0.500) to 1 (CI: - 1.355, - 0.645) BMI points for adolescent, and from 1.16 (CI: - 1.554, - 0.766) to 1.80 (CI: - 2.791, - 0.811) BMI points for adult. The effect of nutrition labeling is greater among the less obese. We recommend that health policy makers and clinicians continue to promote nutrition labeling especially where obesity is not chronic, where nutrition labeling is most successful.

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.

Active commuting associations with BMI and self-rated health: a cross-sectional analysis of the Healthy Ireland survey

Aim

Active travel is advised to help meet recommended weekly physical activity levels. However limited research has examined active travel associations with health indicators. The aim of this study is to investigate active commuting associations with BMI and self-rated health (SRH) using data from the Healthy Ireland Survey.

Subjects and methods

Cross-sectional analysis of data was conducted from a nationally representative study of the Irish population. Participants who worked or attended education (n = 4038) provided information regarding their most common travel mode to work or education and demographic, lifestyle and health characteristics during an interview. Following comparative analysis, multivariable logistic regression was used to investigate associations between active commuting modes and overweight, obesity and SRH.

Results

Active commuting was associated with decreased likelihood of obesity (AOR 0.69, 95% CI = 0.52, 0.90) relative to non-active commuting. Examination of active commuting mode revealed further reduced obesity risk among cyclists (AOR 0.23, 95% CI = 0.09, 0.56) relative to non-cyclists and among those actively travelling ≥3 km (AOR 0.54, 95% CI = 0.30, 0.98). No associations between active commuting and overweight or SRH were observed.

Conclusion

Our findings, which indicate an inverse association between active commuting and obesity, represent a significant contribution to the evidence base supporting promotion of active travel for obesity prevention.

Food insecurity and patterns of dietary intake in a sample of UK adults

The aim of this study was to identify the dietary intake correlates of food insecurity (FI) in UK adults. We recruited groups of low-income participants who were classified as food insecure (n 196) or food secure (n 198). Participants completed up to five 24 h dietary recalls. There was no difference in total energy intake by FI status (β_FI = -0·06, 95 % CI - 0·25, 0·13). Food insecure participants consumed a less diverse diet, as evidenced by fewer distinct foods per meal (β_FI = -0·27, 95 % CI - 0·47, -0·07), and had more variable time gaps between meals (β_FI = 0·21, 95 % CI 0·01, 0·41). These associations corresponded closely to those found in a recent US study using similar measures, suggesting that the dietary intake signature of FI generalises across populations. The findings suggest that the consequences of FI for weight gain and health are not due to increased energy intake. We suggest that there may be important health and metabolic effects of temporal irregularity in dietary intake, which appears to be an important component of FI.

Reducing the burden of low back pain: results from a new microsimulation model

Background

Low back pain (LBP) causes the highest morbidity burden globally. The purpose of the present study was to project and compare the impact of three strategies for reducing the population health burden of LBP: weight loss, ergonomic interventions, and an exercise program.

Methods

We have developed a microsimulation model of LBP in Canada using a new modeling platform called SimYouLate. The initial population was derived from Cycle 1 (2001) of the Canadian Community Health Survey (CCHS). We modeled an open population 20 years of age and older. Key variables included age, sex, education, body mass index (BMI), type of work, having back problems, pain level in persons with back problems, and exercise participation. The effects of interventions on the risk of LBP were obtained from the CCHS for the effect of BMI, the Global Burden of Disease Study for occupational risks, and a published meta-analysis for the effect of exercise. All interventions lasted from 2021 to 2040. The population health impact of the interventions was calculated as a difference in years lived with disability (YLDs) between the base-case scenario and each intervention scenario, and expressed as YLDs averted per intervention unit or a proportion (%) of total LBP-related YLDs.

Results

In the base-case scenario, LBP in 2020 was responsible for 424,900 YLDs in Canada and the amount increased to 460,312 YLDs in 2040. The effects of the interventions were as follows: 27,993 (95% CI 23,373, 32,614) YLDs averted over 20 years per 0.1 unit change in log-transformed BMI (9.5% change in BMI) among individuals who were overweight and those with obesity, 19,416 (16,275, 22,557) YLDs per 1% reduction in the proportion of workers exposed to occupational risks, and 26,058 (22,455, 29,661) YLDs averted per 1% increase in the proportion of eligible patients with back problems participating in an exercise program.

Conclusions

The study provides new data on the relationship between three types of interventions and the resultant reductions in LBP burden in Canada. According to our model, each of the interventions studied could potentially result in a substantial reduction in LBP-related disability.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12891-022-05747-2.

Early Postoperative Weight Loss Predicts Weight Loss up to 5 Years After Roux-En-Y Gastric Bypass, Banded Roux-En-Y Gastric Bypass, and Sleeve Gastrectomy

Purpose

Previous studies showed that patients with lower weight loss after bariatric surgery could be identified based on early postoperative weight loss. However, these studies had only 12–36-month follow-up. This study aimed to explore whether patients in the lowest weight loss quartile at 3 months had lower weight loss trajectories up to 5 years after Roux-en-Y gastric bypass (RYGB), banded Roux-en-Y gastric bypass (BRYGB), and sleeve gastrectomy (SG) surgery.

Methods

Weight was assessed preoperatively, and 3, 6, 9, 12, 24, 36, 48, and 60 months postoperatively. Patients were grouped into four categories based on quartiles of percentage total weight loss (%TWL) at 3-month follow-up. Results were compared between the lowest %TWL quartile group and other quartile groups.

Results

Patients underwent either RYGB (n=13,106; 72%), SG (n=3585; 20%), or BRYGB (n=1391, 8%) surgery. Weight loss trajectories of patients in the lowest %TWL quartile group remained lower than that of other quartile groups throughout a 5-year follow-up, for all three types of surgery. Patients in the lowest %TWL quartile group had higher age at surgery, higher baseline BMI, and were more likely to be male (in the SG group), and to suffer from diabetes, hypertension, dyslipidemia, and osteoarthritis.

Conclusion

This study showed a positive association between weight loss at 3 and 12 to 60 months after bariatric surgery. Weight loss at 3 months after surgery could be used to identify patients whose anticipated weight loss trajectories are below average, to potentially improve their outcomes through early behavioral or medical interventions.

Graphical Abstract

Obesity and Lifestyle Habits among Kidney Transplant Recipients

Background: Obesity may negatively impact clinical outcomes in kidney transplant (KT) recipients. Limited information is available on the prevalence of obesity in this population, and on the lifestyle habits associated with obesity. Methods: we conducted an online, anonymous survey to assess of the proportion of KT recipients with obesity, adherence to the Mediterranean diet (i.e., a dietary regimen with proven renal and cardiovascular outcomes) using the MEDI-Lite questionnaire, and level of physical activity using the International Physical Activity Questionnaire (IPAQ) short form among KT recipients. Results: 255 KT recipients participated. Median (25th−75th quartile) age was 56.0 (48.0; 62.0) years, 43.9% female, median BMI 23.9 (21.6; 26.5) kg/m2. The proportion of KT recipients with obesity was 9.8% (95% confidence interval, 6.4 to 14.1%). Adequate adherence to the Mediterranean diet (Medi-Lite score >9) was overall low (44.7%; 40.0 vs. 45.2% in those with or without obesity, respectively; p = 0.618). In participants with obesity the Medi-Lite score inversely correlated with BMI (R = −0.45; p < 0.025). Overall, 30.6% of participants had a low level of physical activity (44.0 vs. 29.1% of those with or without obesity, respectively; p = 0.125). The amount of energy expended walking was significantly lower among participants with obesity (462 (0.0; 1436) vs. 1056 (433; 2005) METs/week, p = 0.017). Conclusions: the burden of obesity among KT recipients is similar to that of the general population. Adherence to the Mediterranean diet was generally low, and nearly one-third of participants had a low level of physical activity. Building specialized multidisciplinary teams to manage obesity in KT recipients is urgently needed.

Body weight changes and associated predictors in a prospective cohort of young breast cancer survivors

BACKGROUND

Weight gain after a breast cancer diagnosis is common and is associated with inferior outcomes. Young survivors may be especially susceptible to weight changes given the impact of treatment on menopausal status.

METHODS

The authors identified women who were diagnosed with stage 0 to III breast cancer at age 40 years or younger between 2006 and 2016 from a multicenter prospective cohort. Self-reported weight was collected at diagnosis and at 1 year and 3 years postdiagnosis. Tumor and treatment data were obtained from medical records and patient surveys. Multinomial logistic regression was used to identify the factors associated with weight gain (≥5%) or weight loss (≥5%) versus stable weight at 1 year and 3 years postdiagnosis.

RESULTS

The cohort included 956 women with a median age of 37 years at diagnosis. Mean weight significantly increased over time from 66.54 ± 14.85 kg at baseline to 67.33 ± 15.53 and 67.77 ± 14.65 kg at 1 year and 3 years, respectively (p ≤ .001 for both comparisons). The proportion of women experiencing ≥5% weight gain increased from 24.8% at 1 year to 33.9% at 3 years. At 1 year, less self-perceived financial comfort, Black race, and stage III disease were significantly associated with weight gain; at 3 years, only less self-perceived financial comfort remained significant. Baseline overweight or obesity was significantly associated with weight loss at both time points. Chemotherapy, endocrine therapy, and treatment-related menopause were not associated with weight change.

CONCLUSIONS

One third of young breast cancer survivors experienced clinically significant weight gain 3 years after diagnosis; however, treatment-related associations were not observed. Age-appropriate lifestyle interventions, including the reduction of financial barriers, are needed to prevent weight gain in this high-risk population.

Factors associated with body image perception of adolescents

This study aimed to confirm the status of body image perception by adolescents in South Korea and identify the associated factors using the data from the 14th Korea Youth Risk Behavior Survey (KYRBS) conducted in 2018. The KYRBS is a government-approved statistical survey performed annually and an anonymous self-administered online survey conducted in middle and high school students. The data for this study were downloaded from the KYRBS web site and analyzed through complex sample analysis. Body image distortion was found in 40.3% (under-perception 26.5%, over-perception 13.8%) of the boys and 39.7% (under-perception 14.4%, over-perception 25.3%) of the girls. The factors associated with body image distortion were school achievement, weight control, school, school type and exercise in school gym class in boys and school achievement, weight control, and economic status in girls. These results indicated that intervention programs for the accurate perception of body image should be provided to adolescents and these programs should consider gender difference in factors associated with adolescents' body image distortion.

Ethnic differences in fast-food advertising exposure and body mass index among Asian American/Pacific Islander and White young adults

BACKGROUND

Fast-food advertising (FFA) is a potential contributor to obesity. Few studies have examined the relationship between FFA exposure and body mass index (BMI) among young adults. Furthermore, these studies have rarely examined ethnic differences in the relationship between FFA exposure and BMI, specifically across Asian American/Pacific Islander (AAPI) subgroups.

OBJECTIVE

This study aimed to investigate ethnic differences in the association between FFA exposure and BMI in a sample of predominantly AAPI young adults.

METHODS

Cross-sectional data were collected in 2018 from 2622 young adult college students (ages 18-25 years; 54% women) on O'ahu, Hawai'i. FFA exposure was assessed using a cued-recall measure. Multiple regression and analysis of covariance were used to analyze the data.

RESULTS

A significant association was found between higher FFA exposure and higher BMI (p < 0.05; 2-tailed) in the entire sample, adjusting for ethnicity, other demographic variables, and levels of physical activity. However, when examined by ethnic group, the association between FFA exposure and BMI was not statistically significant. A statistically significant main effect of ethnicity on BMI was found. Native Hawaiian/other Pacific Islanders (NHPI) reported the highest mean BMI [27.07 (SD ± 7.74) kg/m2] compared with the other four ethnic groups (p < 0.001). The effect of ethnicity on FFA exposure was not found to be statistically significant.

CONCLUSION

FFA exposure appears to adversely influence BMI in a population of predominantly AAPI young adults. Although we did not find ethnic differences in FFA exposure or in the association between FFA exposure and BMI, the current data make a case for similar future investigation with larger subgroup sample sizes. Regulations that curtail FFA exposure among young adults may be needed.