Association of physical weight statuses defined by body mass index (BMI) with molecular subtypes of premenopausal breast cancer: a systematic review and meta-analysis.

BACKGROUND AND PURPOSE: The association between overweight/obesity and postmenopausal breast cancer has been proven. However, uncertainty exists regarding the association between physical weight statuses and premenopausal breast cancer subtypes. This study aimed to explore the association of body weight statuses with molecular subtypes of premenopausal breast cancer. METHOD: A systematic search of Medline, PubMed, Embase, and Web of Science was performed. The Newcastle-Ottawa Scale (NOS) and the Joanna Briggs Institute (JBI) Critical Appraisal tools were used to evaluate the quality of the literature. STATA and R software were used to analyze the extracted data. RESULT: The meta-analysis included 35 observational studies with a total of 41,049 premenopausal breast cancer patients. The study showed that the proportion of underweight patients was 4.8% (95% CI = 3.9-5.8%, P = 0.01), overweight was 29% (95%CI = 27.1-30.9%, P < 0.01), obesity was 17.8% (95% CI = 14.9-21.2%, P < 0.0001), and normal weight was 51.6% (95% CI = 46.7-56.5%, P < 0.0001). The pooled results showed that in comparison to the normal weight group, being physically underweight is related to a 1.44-fold risk (OR = 1.44, 95%CI = 1.28-1.63, P < 0.0001) of HER2 + breast cancer. Overweight is related to a 1.16-fold risk (OR = 1.16, 95%CI = 1.06-1.26, P = 0.002) of TNBC and a 16% lower risk (OR = 0.84, 95%CI = 0.75-0.93, P = 0.001) of ER + breast cancer. When compared to underweight/normal weight populations, both overweight (OR = 0.74, 95%CI = 0.56-0.97, P = 0.032) and obesity (OR = 0.70, 95%CI = 0.50-0.98, P = 0.037) can reduce the risk of ER + PR + breast cancer. CONCLUSION: In the premenopausal breast cancer population, the distribution of patients' numbers with different weight statuses was significantly distinct among the various breast cancer subtypes. Additionally, the associations between physical weight statuses and the risk of premenopausal breast cancer subtypes are divergent.

Role of dietary intake and physical activity in reducing weight social inequalities among adolescents: an application of G-formula to PRALIMAP-INÈS trial.

Interventions aiming to reduce social inequalities of weight status in adolescents usually focus on lifestyle behaviours, but their effectiveness is limited. This study analysed the effect of achieving levels of dietary intake (DI) and/or physical activity (PA) guidelines on reducing social inequalities in weight status among adolescents. We included adolescents from the PRomotion de l'ALIMentation et de l'Activité Physique - INÉgalité de Santé (PRALIMAP-INÈS) trial with weight status data available at baseline and 1-year follow-up (n=1130). PA and DI were measured using the International Physical Activity Questionnaire and a validated food frequency questionnaire, respectively. We estimated the likelihood of a 1-year reduction in body mass index z-score (BMIz) and population risk difference (PRD) under hypothetical DI and PA levels and socioeconomic status using the parametric G-formula. When advantaged and less advantaged adolescents maintained their baseline DI and PA, we found social inequalities in weight status, with a PRD of a 1-year reduction in BMIz of -1.6% (-3.0%; -0.5%). These inequalities were not observed when less advantaged adolescents increased their proportion of achieving DI guidelines by 30% (PRD=2.2% [-0.5%; 5.0%]) unlike the same increase in PA (PRD= -3.9% [-6.8%; -1.3%]). Finally, social inequalities of weight status were not observed when levels of achievement of both PA and DI guidelines increased by 30% (PRD= 2.2% [-0.5%; 4.0%]). Enhancing DI rather than PA could be effective in reducing social inequalities in weight status among adolescents. Future interventions aiming to reduce these inequalities should mostly target DI to be effective.

Who gets treated for an eating disorder? Implications for inference based on clinical populations.

BACKGROUND: The minority of people with an eating disorder receive treatment. Little is known about predictors of receiving treatment. METHODS: Using data from the Growing Up Today Study we identified correlates of receiving treatment for an eating disorder among the 1237 U.S. women who answered questions on treatment history in 2013 and reported meeting criteria for subthreshold eating disorder in ≥ 1 year between 1996 and 2013. Logistic regression models using generalized estimating equations were used to estimate the relative odds of receiving treatment. RESULTS: Approximately 11% of the women reported receiving treatment for an eating disorder. Independent of type of eating disorder, those who had received a diagnosis of depression or anxiety were more likely (odds ratio (OR) = 3.05 95% confidence interval (CI) 1.87-4.97) to receive treatment for an eating disorder. Women with obesity were approximately 85% less likely to receive treatment (OR = 0.13, 95% CI 0.04-0.46) regardless of their type of eating disorder or history of depression of anxiety diagnosis. CONCLUSIONS: Most women meeting criteria for an eating disorder do not receive treatment. Women with BED or obesity are the least likely to receive treatment.

Associations between COVID-19 incidence, weight status, and social participation restrictions in the U.S.: evidence from the national population, cross-sectional study.

BACKGROUND: To explore the associations between coronavirus infection incidence and weight status and social participation restrictions among community-dwelling adults in the United States. METHODS: We analyzed data from the 2021 National Health Interview Survey (NHIS), which included a representative sample of 29,394 individuals (Coronavirus disease 2019 (COVID-19): 3,205) and a weighted total of 252,461,316 individuals (COVID-19: 31,697,404), considering the complex sampling design used in the survey. RESULTS: Age, race/ethnicity, education level, family income index, body mass index (BMI), and smoking status were significantly associated with COVID-19 infection. Weight status was significantly correlated with social participation restrictions and strongly associated with COVID-19 infection, particularly among individuals who were overweight or obese. CONCLUSION: Weight status was shown to be associated not only with social participation restrictions but also with COVID-19 infection among U.S. adults. Understanding the complex interplay between weight status, social participation, and COVID-19 is crucial for developing effective preventive measures and promoting overall well-being in the community population.

Experienced and internalized weight stigma among Spanish adolescents.

BACKGROUND AND OBJECTIVE: Weight stigma has negative consequences for both physiological and psychological health. Studies on weight stigma in adolescence, particularly from general populations, are scarce in the Mediterranean area. The main aim of this study is to describe the prevalence of experienced and internalized weight stigma among a representative sample of adolescents from the Spanish city of Terrassa, and to determine its association with sociodemographic variables and weight status. METHODS: Drawing on data from the initial assessment of a longitudinally funded project on weight stigma in adolescents, a cross-sectional survey-based study was conducted using random multistage cluster sampling. Weight stigma experiences, their frequency and sources, and weight bias internalization with the Modified Weight Bias Internalization Scale (WBISM) were assessed in a sample of 1016 adolescents. Adjusted odds ratios (AOR) between sociodemographic variables, weight status and having experienced weight stigma, and having reported high scores of WBISM (WBISM ≥ 4) were estimated by multiple logistic regression models. RESULTS: The prevalence of weight-related stigma experiences was 43.2% in the sample (81.8 in adolescents with obesity) and the prevalence of high levels of weight bias internalization was 19.4% (50.7 in adolescents with obesity). Other kids and school were the most prevalent sources of weight stigma, with society and family being other significant sources of stigma reported by girls. A significantly higher risk of having experienced weight stigma was observed in girls (AOR = 2.6) and in older adolescents (AOR = 1.9). Compared to normal weight adolescents, all weight statuses showed higher risk, being 3.4 times higher in adolescents with underweight and reaching 11.4 times higher risk in those with obesity. Regarding high levels of weight bias internalization, girls had a risk 6.6 times higher than boys. Once again, a "J-shaped" pattern was observed, with a higher risk at the lowest and highest weight statuses. The risk was 6.3 times higher in adolescents with underweight, and 13.1 times higher in adolescents with obesity compared to those with normal weight. CONCLUSIONS: Considering the high prevalence of experienced and internalized weight stigma among adolescents in Spain, especially in adolescents with obesity and girls, it seems important to implement preventive strategies in different settings and address all sources of stigma.

Indirect Effects of Body Mass Index and Sweet Taste Responsiveness on E-Cigarette Dependence: The Role of E-Cigarette Motives.

Background: Recent research has shown obesity to be associated with e-cigarette use and appeal, but models have yet to examine how weight status may be related to e-cigarette dependence among e-cigarette users. Objectives: To increase our understanding of pathways from body mass index (BMI) to e-cigarette dependence, the present cross-sectional observational study investigated a model in which BMI, sweet taste responsiveness, and the interaction of BMI and sweet taste responsiveness are associated with e-cigarette dependence indirectly via seven conceptually-distinct motives for e-cigarette use. Data from several e-cigarette clinical laboratory research studies were pooled and analyzed; only current e-cigarette users were included in the analyses (N=330). Structural equation modeling was used to analyze the hypothesized model. Results: BMI was positively associated with lower social/environmental goad motives and higher weight control motives, and BMI x sweet taste interaction terms found that sweet taste responsiveness strengthened the association of BMI and weight control motives. BMI was not directly or indirectly associated with e-cigarette dependence nor was there a bivariate association between BMI and e-cigarette dependence. Sweet taste responsiveness was positively associated with greater affiliative attachment motives, cognitive enhancement motives, cue exposure-associative process motives, weight control motives, and affect enhancement motives. Sweet taste responsiveness was bivariately associated with e-cigarette dependence and mediation paths show indirect relations to e-cigarette dependence via three of the seven motives. Conclusions: The findings suggest that sweet taste responsiveness, opposed to BMI, is associated with a wider range of e-cigarette use motives and indirectly relates to e-cigarette dependence via several e-cigarette use motives.

Neophobia, sensory experience and child's schemata contribute to food choices.

PURPOSE: The aim of the present review is to analyze dynamic interactions between nutrigenomics, environmental cues, and parental influence, which can all lead to children's neophobic reactions and its persistence in time. METHODS: We reviewed studies available on electronic databases, conducted on children aged from birth to 18 years. We also considered official websites of Italian Institutions, providing advice on healthy eating during infancy. RESULTS: Modern day societies are faced with an eating paradox, which has severe and ever-growing implications for health. In face of a wider availability of healthy foods, individuals instead often choose processed foods high in fat, salt and sugar content. Economic reasons surely influence consumers' access to foods. However, there is mounting evidence that food choices depend on the interplay between social learning and genetic predispositions (e.g., individual eating traits and food schemata). Neophobia, the behavioral avoidance of new foods, represents an interesting trait, which can significantly influence children's food refusal. Early sensory experiences and negative cognitive schemata, in the context of primary caregiver-child interactions, importantly contribute to the priming of children's food rejection. CONCLUSIONS: As neophobia strongly affects consumption of healthy foods, it will be relevant to rule definitively out its role in the genesis of maladaptive food choices and weight status in longitudinal studies tracking to adulthood and, in meanwhile, implement early in life effective social learning strategies, to reduce long-term effects of neophobia on dietary patterns and weight status. LEVEL OF EVIDENCE: Level II, controlled trials without randomization.

School-level self-reported versus objective measurements of body mass index in public high school students.

Population-level surveillance of student weight status (particularly monitoring students with a body mass index (BMI) ≥95th percentile) remains of public health interest. However, there is mounting concern about objectively measuring student BMI in schools. Using data from the nation's largest school district, we determined how closely students' self-reported BMI approximates objectively-measured BMI, aggregated at the school level, to inform decision-making related to school BMI measurement practices. Using non-matched data from n = 82,543 students with objective height/weight data and n = 7676 with self-reported height/weight from 84 New York City high schools (88% non-white and 75% free or reduced-price meal-eligible enrollment), we compared school-level mean differences in height, weight, BMI, and proportion of students by weight status, between objective and self-reported measures. At the school-level, the self-reported measurement significantly underestimated weight (-1.38 kg; 95% CI: -1.999, -0.758) and BMI (-0.38 kg/m2; 95% CI: -0.574, -0.183) compared to the objective measurement. Based on the objective measurement, 12.1% of students were classified as having obesity and 6.3% as having severe obesity (per CDC definition); the self-report data yielded 2.5 (95% CI: -1.964, -0.174) and 1.4 (95% CI: -2.176, -0.595) percentage point underestimates in students with obesity and severe obesity, respectively. This translates to 13% of students with obesity and 21% of students with severe obesity being misclassified if using self-reported BMI. School-level high school students' self-reported data underestimate the prevalence of students with obesity and severe obesity and is particularly poor at identifying highest-risk students based on BMI percentile.

Timing of energy intake and BMI in children: differential impacts by age and sex.

Body weight regulation may be influenced by the timing of food intake. The relationship between children's BMI and their daily pattern of energy consumption was investigated using data from the UK National Diet and Nutrition Survey 2008-2019. The sample included 6281 children aged 4-18 years. Linear and logistic regression models investigated the timing of energy intake (103 kJ) as a predictor of BMI (kg/m2) and healthy weight status. The models showed that children aged 4-10 years who consume more energy content after 20:00, in comparison with less energy content, had a significantly higher BMI (young girls: ß = 0·159; 95 % CI 0·003, 0·315; P = 0·05; young boys: ß = 0·166; 95 % CI 0·028, 0·304; P = 0·02). Similar findings were also present for boys aged 11-18 years (ß = 0·091; 95 % CI 0·003, 0·180; P = 0·04), though logistic regression findings were contradictory (OR = 0·9566; 95 % CI 0·926, 0·989; P = 0·009). However, older girls who consumed more energy content in the morning had a significantly lower BMI (ß = -0·464; 95 % CI -0·655, -0·273; P < 0·001) and a lower probability of non-healthy weight (OR = 0·901; 95 % CI 0·826, 0·982; P = 0·02). Physical activity reduced the likelihood of unhealthy weight status. The data suggest that food consumption later in the day in childhood and into adolescence may increase the risk of a higher BMI, especially for less active children. Developing guidance on appropriate meal timings and recommended energy distribution throughout the day could promote healthier lifestyles. Doing so may help increase parental awareness of timing of food intake and its potential impact on BMI.

Ultra-processed foods in a rural Ecuadorian community: associations with child anthropometry and bone maturation.

Frequent ultra-processed food (UPF) consumption is consistently associated with poor health outcomes. Little is known about UPF intake during early childhood and its effects on growth. We assessed UPF in relation to child anthropometry, bone maturation, and their nutrition profiles in a rural Ecuadorian community. Covariate-adjusted regression models estimated relationships between UPF intake from a 24-hour Food Frequency Questionnaire and three outcomes: linear growth, weight status and bone maturation. Nutrient Profiling Models (NPM) evaluated a convenience sample of UPF (n 28) consumed by children in the community. In this cohort (n 125; mean age = 33·92 (sd 1·75) months), 92·8 % consumed some form of UPF the previous day. On average, children consuming UPF four to twelve times per day (highest tertile) had lower height-for-age z-scores than those with none or a single instance of UPF intake (lowest tertile) (ß = -0·43 [se 0·18]; P = 0·02). Adjusted stunting odds were significantly higher in the highest tertile relative to the lowest tertile (OR: 3·07, 95 % CI 1·11, 9·09). Children in the highest tertile had significantly higher bone age z-scores (BAZ) on average compared with the lowest tertile (ß = 0·58 [se 0·25]; P = 0·03). Intake of savoury UPF was negatively associated with weight-for-height z-scores (ß = -0·30 [se 0·14]; P = 0·04) but positively associated with BAZ (ß = 0·77 [se 0·23]; P < 0·001). NPM indicated the availability of unhealthy UPF to children, with excessive amounts of saturated fats, free sugars and sodium. Findings suggest that frequent UPF intake during early childhood may be linked to stunted growth (after controlling for bone age and additional covariates), despite paradoxical associations with bone maturation.

Children's foot parameters and basic anthropometry - do arch height and midfoot width change?

The aims of this study were as follows: (1) to assess how foot posture and morphology assessments change according to body mass index (BMI) status; (2) to determine which body composition parameter (BMI or waist circumference) correlates better with the foot posture index (FPI), arch height index (AHI), and midfoot width (MFW) in children. Foot morphometry (FPI, AHI, and MFW) and body composition (BMI and waist circumference (WC)) were assessed in a cross-sectional study of 575 children (mean age = 7.42 ± 1.67 years; 53.27% female). When comparing BMI groups, an increase of 8.3% in AHI and 13.6% in MFW (both p < 0.0001) was seen. In linear regression analyses, BMI and WC were positively associated with MFW explaining together 64.8% of its variance. Noteworthy, MFW is the most related to body composition parameters. CONCLUSION: Foot morphology assessed by FPI, AHI, and MFW differs among BMI categories in children. Noteworthy, WC correlates better with foot measures than does the more commonly used BMI, and more importantly the MFW is the foot measure best explained by children's body weight. Since foot morphometry is different among different BMI groups, children would benefit from shoes with different patterns (thinner and wider), as well as a good system to adjust midfoot height. WHAT IS KNOWN: • Children who are overweight and obese have flatter feet, when assessed using footprints. • Up to 72% of people have incorrectly fitted shoes. WHAT IS NEW: • Children with underweight have thinner and flatter feet than children with normal weight, while children with overweight and obesity have wider and higher arched feet. • Body weight is related to foot shape, which has relevance for footwear manufacturers.

Association between pre-pregnancy weight status and dietary patterns during pregnancy: results from the Japan Environment and Children's Study.

OBJECTIVE: Pre-pregnancy weight status is related to offspring health and may influence dietary patterns during pregnancy. We aimed to evaluate the link between pre-pregnancy weight status and dietary patterns during pregnancy. DESIGN: Dietary data were collected using a FFQ during middle or late pregnancy. Dietary patterns were identified using principal component analysis. Anthropometric data were extracted from medical charts. Multiple linear regression was used to assess associations between pre-pregnancy weight status (severely or moderately underweight, mildly underweight, normal weight, overweight and obese) and dietary patterns during pregnancy after adjusting for socio-demographic characteristics. SETTING: Nationwide Japan. PARTICIPANTS: Pregnant Japanese women enrolled in the Japan Environment and Children's Study, a prospective birth cohort study (n 90 765). RESULTS: We identified three dietary patterns. Compared with women with pre-pregnancy normal weight, those with pre-pregnancy obesity were less likely to habitually consume 'fruits and vegetables' pattern (coefficient, -0·18; 95 % CI, -0·21, -0·14) and 'confectionery' pattern (coefficient, -0·18; 95 % CI, -0·21, -0·14) and more likely to consume 'white rice and soy products' pattern (coefficient, 0·08; 95 % CI, 0·04, 0·11), and those with severely or moderately pre-pregnancy underweight were more likely to consume 'confectionery' pattern (coefficient, 0·06; 95 % CI, 0·03, 0·09) during pregnancy, after adjusting for confounders. CONCLUSION: We found that moderately and severely pre-pregnancy underweight women and those with obesity had unhealthy dietary patterns compared to those with pre-pregnancy normal weight. Our findings suggest that prenatal dietary advice is important and should be based on the pre-pregnancy weight status.

Is excessive smartphone use associated with weight status and self-rated health among youth? A smart platform study.

BACKGROUND: In Canada, it is recommended that youth limit screen time to less than two hours per day, yet, the majority of youth are reportedly spending a significantly higher amount of time in front of a screen. This is particularly concerning given that these recommendations do not take into account smartphone devices, which is the most common screen time technology of choice for the younger generations. This study implements an innovative approach to understanding screen time behavior and aims to investigate the unique relationship between smartphone specific screen time and physical health outcomes. METHODS: This cross-sectional study is part of the Smart Platform, a digital epidemiological and citizen science initiative. 436 youth citizen scientists, aged 13-21 years, provided all data via their own smartphones using a custom-built smartphone application. Participants completed a 124-item baseline questionnaire which included validated self-report surveys adapted to collect data specifically on smartphone use (internet use, gaming, and texting), demographic characteristics, and physical health outcomes such as weight status and self-rated health. Binary regression models determined the relationship between smartphone use and physical health outcomes. RESULTS: Overall participants reported excessive smartphone use in all categories. 11.4% and 12% of the 436 youth participants reported using their smartphone excessively (greater than 2 h per day) during the week and weekend respectively for gaming and were over 2 times more likely than their peers to fall within an overweight/obese BMI status. Excessive weekend gaming was also associated with self-rated health where participants were over 2 times more likely than their peers to report poor self-rated health. CONCLUSIONS: The results indicate that excessive screen time on smartphones does have complex associations with youth health. Further investigation with more robust study designs is needed to inform smartphone-specific screen time guidelines for youth.

Psychological Pathways Through Which Social Norms and Social Identity Influence Eating Behavior: Testing a Conceptual Model.

BACKGROUND: Although interventions frequently promote healthy eating, failing to consider psychosocial factors, such as social norms, may limit the effectiveness of these efforts. Perceived social norms are a well-documented determinant of eating behavior; however, there is limited understanding of the processes through which, and for whom, this relationship emerges. Using identity-based motivation as a theoretical framework, we present a conceptual model identifying one route through which descriptive social norms-beliefs about how others behave-predict eating behavior, and test whether this process varies across social identities (e.g., self-perceived weight status). METHOD: Structured telephone interviews were conducted for a national sample of non-diabetic adults who identified as non-Hispanic White, non-Hispanic Black, or Mexican American (n = 990). RESULTS: Multigroup SEM analysis comparing individuals who self-identified as overweight (versus "about the right weight" and underweight) demonstrated that perceiving descriptive social norms that people do not eat healthy foods predicted greater perceived barriers to eating healthy foods. Perceived barriers, in turn, predicted stronger beliefs that body weight is uncontrollable, and this relationship was stronger for participants who self-identified as overweight (relative to participants who did not identify as overweight). These beliefs subsequently predicted greater self-reported consumption of unhealthy foods (e.g., sweets), but did not predict consumption of fruits or vegetables. CONCLUSIONS: This study extends our understanding of a psychosocial process that predicts consumption of unhealthy foods and underscores the importance of social identities for shaping responses to perceived norms.

Association of picky eating around age 4 with dietary intake and weight status in early adulthood: A 14-year follow-up based on the KOALA birth cohort study.

INTRODUCTION: A relatively common deviant type of eating behaviour among children is picky eating. Research on associations between picky eating and dietary patterns later in life is limited, and studies examining long-term effects on growth have yielded mixed results. The present study aimed to examine longitudinal associations of picky eating in early childhood with consumption of various foods, and weight status (body mass index, BMI) in young adulthood. METHODS: Data from the Dutch KOALA Birth Cohort was used. Picky eating was determined around age 4 (range 3-6 years) by a questionnaire completed by parents. At follow-up around children's age 18 (range 17-20 years), weekly food intake frequencies, weight and height were assessed with a questionnaire completed by the grown-up young adult children. In total, 814 participants were included. Multiple regression analyses were performed for food intake frequencies and weight status (BMI) with picky eating score as predictor, controlling for parental and child covariates. RESULTS: The mean picky eating score at age 4-5 was 2.24 (range 1-5). A 1-point higher picky eating score was associated with eating fruit 0.14 days less per week, raw vegetables 0.14 days less per week, cooked vegetables 0.21 days less per week, fish 0.07 days less per week and dairy products 0.23 days less per week (P-values all <0.05). Associations between picky eating and intake frequencies of meat, eggs, various snacks, sweet drinks, and weight status (BMI) were not significant. CONCLUSION: Picky eating in childhood is associated with lower intake frequencies of various healthy foods among young adults. It is therefore recommended to pay sufficient attention to picky eating in young children.

Emotional eating among adults with healthy weight, overweight and obesity: a systematic review and meta-analysis.

BACKGROUND: Emotional eating (EE) is a disordered eating behaviour which may lead to overeating. It is not clear whether EE presents to an equal degree among adults, regardless of their body mass index (BMI) status. The aim of this study was to assess whether there is a difference in degree of EE between adults with healthy weight, overweight and obesity. METHODS: MEDLINE and APA PsycINFO databases were searched from inception up to January 2022 for studies that reported EE scores from validated questionnaires. The quality of all included studies was assessed using the AXIS tool. Meta-analysis used random effects and standardised mean difference (SMD). Heterogeneity was investigated using I2 statistics and sensitivity analyses. RESULTS: A total of 11 studies with 7207 participants were included in the meta-analysis. Degree of EE was greater in adults with a BMI above the healthy range, compared to adults with a healthy BMI (SMD 0.31, 95% CI 0.17 to 0.45; I2 = 85%). However, subgroup analysis found that degree of EE was greater only in adults with obesity (SMD 0.61, 95% CI 0.41 to 0.81; I2 = 62%), and there was no difference in degree of EE between adults with overweight and those with a healthy BMI. CONCLUSIONS: Degree of EE is greater among adults living with obesity, compared to adults with a healthy BMI, indicating a need for behavioural support to support EE among people living with obesity seeking weight management. Future research should examine the long-term effectiveness of interventions for EE.

Fostering weight status understanding among exercise science and health students by simulating common physical activities with additional body mass.

Overweight and obesity rates continue to rise and appear unlikely to abate. While physical activity (PA) is an important contributor to health and successful weight maintenance, exercise science and health students (ESHS) often endorse negative weight status biases that could undermine PA promotion. This experiential learning activity was intended to help foster weight status understanding among ESHS. Nine ESHS completed the learning activity across two 75-minute class periods. During the initial didactic lesson, the instructor presented on psychophysiological responses to PA among normal and overweight individuals. During the second simulation lesson, the students first responded with their predictions of how the experience of four common physical activities, including shoe tying, brisk walking, running, and climbing and descending stairs, could differ with additional body mass. Next, students twice completed each of the four physical activities while first wearing a weighted vest that simulated 16 lb followed by 32 lb of additional mass. At the beginning, middle, and end of the stair climb and descent, the students provided ratings of affective valence (i.e., pleasure-displeasure). Following the PA simulations, the students wrote about their experiences and how their PA promotion strategies could be modified for overweight clients. The changes in student qualitative responses, particularly following the 32-lb simulations, suggested an increased understanding of the psychophysiological experience of PA while carrying additional mass. Learning activities like this one may be meaningful additions to ESHS curricula aiming to mitigate weight status bias and improve PA promotion among overweight clients.NEW & NOTEWORTHY Exercise science and health students (ESHS) often enter the field with the noble intention to help people become more physically active. However, many ESHS endorse negative weight status biases that could undermine health promotion efforts among overweight individuals. Experiential learning simulations that approximate the experiences of physical activity while overweight may be helpful tools to foster understanding and reduce bias. This article outlines a two-part didactic/simulation learning activity to promote weight status understanding among ESHS.

"You Measure Us and You Depress Us": Healthism and the Subjective Impact of Body Measurements on Secondary School Students.

This study explores adolescents' subjective experiences when facing body measurements at school, performed to evaluate the effects of a school-based intervention to promote physical activity. Three semi-structured interviews (n = 3) and two focus groups (n = 7 and 3) were conducted with adolescents after measuring some variables related to their weight and adiposity. Observational data (n = 88) collected by the two researchers in charge of the measurements were also obtained. Findings derived from our thematic analysis question the suitability of body measurements as social contexts where the core ideas of healthism emerge. Some adolescents lived body measurements as negative social experiences, promoting body dissatisfaction, social comparison, embarrassment, and simplistic associations between health and body shape, which could hinder their adherence to healthy habits. We emphasize the role of qualitative research when evaluating pre/posttests of school-based intervention studies, not just the interventions themselves, to generate knowledge to improve research protocols and prevent unwanted psychological outcomes in participants.

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.

The shifting patterns of childhood obesity: Insights from national school screening data.

Background: Recent reports indicated an increasing prevalence of obesity among children and adolescents in Saudi Arabia, making it an impending national epidemic. However, obesity prevalence data in children and adolescents in Saudi Arabia are largely inconsistent. Objectives: This study analyzed and compared the prevalence of obesity among a national sample of children and adolescents across sexes, school grades, regions, and city types in Saudi Arabia using the Growth Charts for Saudi Children and Adolescents. Methods: Weight, height, and body mass index (BMI) data from 1 134 317 children in first, fourth, seventh, and tenth school grades who participated in the national school screening program were analyzed cross-sectionally. BMI values were classified using the Growth Charts for Saudi Children and Adolescents. Results: Nearly 10.4% of students were overweight, 10.7 % were obese, and 4.50% were severely obese. Male students had a higher prevalence of overweight and obesity than their female counterparts. The prevalence of overweight and obesity was the highest among students in intermediate school, the Central region, and administrative capitals. Conclusion: Managing childhood obesity is challenging due to its multifaceted nature Therefore, utilizing clinical and community-based participatory approaches is essential to develop nationwide obesity prevention and management program that is effective and sustainable. This program must utilize dynamic BMI surveillance systems using ethnically representative growth references, conduct national pediatric obesity research with careful consideration for demographic and regional differences, lead targeted pediatric obesity awareness campaigns, provide obesity management interventions in a pediatric multi-disciplinary clinic, and evaluate the program outcomes periodically.