Weight Status Groups Research Articles

Beyond Distracted Eating: Cognitive Distraction Downregulates Odor Pleasantness and Interacts with Weight Status.

Considering the widespread issue of distracted eating, our study investigates how cognitive distraction influences the sensory perception of food-related odors among individuals with varying weight statuses. We conducted an exploratory, randomized, and cross-sectional experimental study, using the Tetris game to simulate real-life cognitive distraction, incorporating two distraction levels (low and high) and presenting five distinct odors. A total of 59 participants, categorized into a lean (n = 30) and overweight/obese group (n = 29) based on their body mass index (BMI), received odor stimuli while playing Tetris at low and high difficulty, corresponding to low and high distraction levels, respectively. Participants subsequently rated odor intensity and pleasantness under the two cognitive distraction conditions. Respiratory movements were monitored to ensure accurate olfactory stimulation. Our findings revealed no significant difference in odor intensity ratings across distraction levels (p = 0.903). However, there was a significant reduction in odor pleasantness under high cognitive distraction (p = 0.007), more pronounced in lean participants compared to those with an overweight status (p = 0.035). Additionally, an interaction between gender and cognitive distraction effects was observed in odor pleasantness perception. The differential effects of distraction across weight-status groups and genders are discussed in the context of hedonic motivation and compensatory mechanisms. This study sheds light onto the sensory mechanisms underlying distracted eating and could inform more personalized strategies for promoting healthier eating habits in a world dominated by distractions.

Chinese version of the Tendency to Avoid Physical Activity and Sport (TAPAS) scale: testing unidimensionality, measurement invariance, concurrent validity, and known-group validity among Taiwanese youths

Background and objectivesPsychosocial factors affect individuals’ desire for physical activity. A newly developed instrument (Tendency to Avoid Physical Activity and Sport; TAPAS) has been designed to assess the avoidance of physical activity. Considering cultural differences could be decisive factors, the present study aimed to translate and validate the TAPAS into Chinese (Mandarin) for Taiwanese youths, and further cultural comparisons are expected.MethodsStandard translation procedure (i.e., forward translation, back translation, and reconciliation) was used to translate the English TAPAS into the Chinese TAPAS. Following translation, 608 youths (mean [SD] age 29.10 [6.36] years; 333 [54.8%] women) participated in the study via a snowballing sampling method with an online survey. All participants completed the Chinese TAPAS and additional instruments assessing weight stigma and psychological distress. Confirmatory factor analysis (CFA) was used to examine the factor structure of the Chinese TAPAS and multigroup CFA to examine measurement invariance across gender (men vs. women) and weight status (overweight vs. non-overweight). Pearson correlations were used to examine the concurrent validity; independent t-tests between gender groups and weight status groups were used to examine the known-group validity.ResultsConsistent with the English version, the Chinese TAPAS was found to have a one-factor structure evidenced by CFA results. The structure was invariant across gender and weight status groups evidenced by multigroup CFA results. Concurrent validity was supported by significant associations with the related constructs assessed (r = 0.326 to 0.676; p < 0.001). Known-group validity was supported by the significant differences in TAPAS total scores between gender and weight status groups (p = 0.004 and < 0.001; Cohen’s d = 0.24 and 0.48).ConclusionThe Chinese version of the TAPAS is a valid and reliable instrument assessing individuals’ avoidance of physical activity and sports due to underlying psychosocial issues among Taiwanese youths. It is anticipated to be applied within a large Asian population, as well as cross-cultural comparisons, for further explorations in health, behavioral and epidemiological research and practice.

Emotional Eating Prevalence and Correlates in Adolescents in the United States.

Background: Adolescent obesity rates continue to rise. A better understanding of who engages in emotional eating, a maladaptive eating style, is needed. Despite emotional eating being a frequent research target, the prevalence of emotional eating in US adolescents is currently unknown. Methods: Nationally representative adolescents (n = 1622, m = 14.48 years, 63.8% non-Hispanic White, 50.6% female) reported eating behaviors in the National Cancer Institute's Family Life, Activity, Sun, Health, and Eating (FLASHE) study. Frequencies and one-way ANOVAs were conducted to examine the rates of emotional eating across demographic and weight status groups. Correlations between emotional eating and dietary intake were examined. Results: In total, 30% of adolescents engaged in emotional eating. Older adolescents (35% of 17-year-olds), females (39%), non-Hispanic White individuals (32%), and adolescents with obesity (44%) had significantly higher rates of emotional eating. Controlling for weight status, greater adolescent emotional eating was correlated with more frequent intake of energy-dense/nutrient-poor foods (β = 0.10, p < 0.001), junk food (β = 0.12, p < 0.001), and convenience foods (β = 0.13, p < 0.001). Conclusions: This study fills a critical gap by providing insight into how common adolescent emotional eating is and highlighting demographic factors that are associated with higher rates. Nearly a third of adolescents in the United States reported eating due to anxiety or sadness, with rates higher in older adolescents, girls, non-Hispanic White adolescents, and adolescents with obesity. Emotional eating was associated with consuming less healthy foods, which conveys immediate and long-term health risks. Practitioners can intervene with emotional eating to reduce obesity and comorbid health risks.

The Association between the Dietary Antioxidant Index and Weight Status in Primary School Students: An Epidemiological Study.

Obesity is an emerging threat and a current challenge for children and adolescents worldwide. The aim of the present work was to evaluate the relationship between the Dietary Antioxidant Index (DAI) and the weight status of students in early adolescence. A sample of 1580 students aged 10-12 years from 47 primary schools in Greece were enrolled. Anthropometric characteristics were assessed, and calculation of the Body Mass Index (BMI) was used to categorize students into two weight-status groups. Dietary habits and physical activity were evaluated using a self-completed questionnaire, and the DAI was calculated through derived micronutrients' content, along with energy, macro-, and micro-nutrient intake. Crude and adjusted regression analysis showed a significant inverse association of the DAI and body weight status (Odds Ratio (OR): 0.719, 95% Confidence Interval (CI): 0.576; 0.897, and adjusted Odds Ration (aOR): 0.667, 95% CI: 0.489; 0.907). An antioxidant diet seems to play a protective role against increased body weight among students in early adolescence. Thus, dietary patterns rich in antioxidants should be promoted to facilitate healthy habits early in life, and to fight the obesity threat.

Heart Rate, Oxygen Uptake and Anaerobic Thresholds During a Maximal Treadmill Test with World Class Mixed Martial Arts Fighters

Measuring heart rate responses during a competitive mixed martial arts (MMA) fight is not feasible; therefore, a method is needed to assess physiological responses in MMA fighters outside of competition. Quantifying and evaluating heart rate, oxygen uptake, and anaerobic threshold during a maximal treadmill test can provide interpretation for in-competition physiological responses of MMA fighters The retrospective analysis was conducted on 20 world-class MMA fighters predating the beginning of their fight camps (ages 29.0 ± 4.8 years old). A maximal treadmill test utilizing a ramp protocol was conducted eight weeks prior to a professional competition. Fighters’ data were divided in two groups based on weight status: lighter, &lt; 185 pounds (n = 12) and heavier, ≥ 185 pounds (n = 8) weight groups. Heart rate (HR), anaerobic thresholds from respiratory exchange rate (RER-AT), and oxygen uptake (VO2max) were recorded and compared between weight groups. VO2max was the only physiological variable measured that differed between lighter (53.4 ± 4.5 ml . kg−1 . min−1) and heavier (48.1 ± 5.7 ml . kg−1 . min−1) fighters (p = 0.033). Previous literature has commonly used 1.0 RER to determine the breaking point in anaerobic thresholds. All other variables were not different (p ≥ 0.204) between groups. Differences in VO2max between lighter and heavier fighters is likely due to differences in body mass. While there were no differences in heart rates at RER-AT or time to exhaustion between weight status groups, using RER-AT at 0.95 or 1.0 RER may be a valuable way to ensure an MMA athlete achieve anaerobic training in fight preparation. Performance coaches may utilize physiological variables such as RER-AT acquired from maximal treadmill testing to guide the training demands of MMA competition.

Cross-sectional associations between 24-hour movement behaviors and cardiometabolic health among adults with type 2 diabetes mellitus: A comparison according to weight status

ObjectivesType 2 diabetes mellitus (T2DM) is a chronic disease associated with overweight and obesity. Evidence suggests that 24-hour movement behaviors (24 h-MBs) play a crucial role in cardiometabolic health. However, it is not yet known if 24 h-MBs differ between weight status groups among people with T2DM (PwT2DM) and how 24 h-MBs are associated with their cardiometabolic health. DesignCross-sectional study. MethodsCardiometabolic variables (i.e. Body Mass Index (BMI), waist circumference (WC), HbA1c, fasting glucose, triglycerides, total-cholesterol, HDL-cholesterol, LDL-cholesterol, blood pressure) and 24 h-MBs (accelerometry and sleep-diary) of 1001 PwT2DM were collected. Regression models using compositional data analysis explored differences in 24 h-MBs between weight status groups and analyzed associations with cardiometabolic variables. ResultsThe 24 h-MBs of PwT2DM being obese consisted of less sleep, light physical activity (LPA) and moderate to vigorous physical activity (MVPA) and more sedentary time (ST) per day as compared to PwT2DM being overweight or normal weight (p < 0.001). Regardless of weight status, the largest associations were found when reallocating 20 min a day from ST into MVPA for BMI (−0.32 kg/m2; [−0.55; −0.09], −1.09 %), WC (−1.44 cm, [−2.26; −0.62], −1.35 %) and HDL-cholesterol (0.02 mmol/l, [0.01, 0.02], +1.59 %), as well as from ST into LPA for triglycerides (−0.04 mmol/l, [−0.05; −0.03], −2.3 %). Moreover, these associations were different when stratifying people by short-to-average (7.7 h/night) versus long sleep (9.3 h/night) period. ConclusionsThis study highlights the importance of 24 h-MBs in the cardiometabolic health of PwT2DM. Shifting time from ST and/or sleep toward LPA or MVPA might theoretically benefit cardiometabolic health among relatively inactive PwT2DM, irrespective of weight status.

Weight status in survivors of childhood acute lymphocytic leukemia in South Korea: a retrospective descriptive study.

This study investigated weight status in survivors of childhood acute lymphocytic leukemia (ALL) and identified related factors. A retrospective review of the electronic medical records of survivors of childhood ALL (n=230) was conducted. We analyzed the survivors' characteristics, including sex, age, weight status at diagnosis, central nervous system involvement, risk classification, length of treatment, radiation therapy, and hematopoietic stem cell transplantation. Analysis of variance and the chi-squared test were applied to investigate influencing factors. The weight status distribution was as follows: 23 individuals (10.0%) were classified as underweight, 151 individuals (65.7%) were healthy weight, and 56 individuals (24.3%) were overweight/obese. Age at diagnosis (F=10.03, p<.001), weight status at diagnosis (x2=43.41, p<.001), and risk classification (F=10.98, p=0.027) showed significant differences among the weight status groups. Survivors who were older at diagnosis and those in the very high-risk category had a higher likelihood of experiencing underweight status during their survivorship, while survivors who were overweight/obese at diagnosis were more likely to remain overweight/obese at the time of survival. Considering the potential health implications related to an unhealthy weight status in survivors of ALL, it is imperative to undertake early identification and implement interventions for at-risk individuals.

The Association of Maternal Weight Status throughout the Life-Course with the Development of Childhood Obesity: A Secondary Analysis of the Healthy Growth Study Data

Maternal weight-status at various time-points may influence child obesity development, however the most critical time-point remains unidentified. We used data from the Healthy Growth Study, a cross-sectional study of 2666 Greek schoolchildren aged 9–13 years, exploring associations between childhood obesity and maternal weight-status at pre-pregnancy, during pregnancy/gestational weight gain, and at the child’s pre-adolescence. Logistic regression analyses examined associations between maternal weight-status being “below” or “above” the recommended cut-off points (WHO BMI thresholds or IOM cut-off points), at the three time-points, individually or combined into weight-status trajectory groups to determine the strongest associations with child obesity in pre-adolescence. Adjusted models found significant associations and the highest odds ratios [95% Confidence Intervals] for mothers affected by obesity before pregnancy (4.16 [2.47, 7.02]), those with excessive gestational weight gain during pregnancy (1.50 [1.08, 2.08]), and those affected by obesity at their child’s pre-adolescence (3.3 [2.29, 4.87]). When combining these weight-status groups, mothers who were above–above–below (3.24 [1.10, 9.55]), and above–above–above (3.07 [1.95, 4.85]) the healthy weight recommendation-based thresholds in each time-point, had a three-fold higher likelihood of child obesity, compared to the below–below–below trajectory group. Maternal obesity across all examined time-points was significantly associated with childhood obesity. Effective childhood obesity preventive initiatives should commence at pre-conception, targeting maternal weight throughout the life-course and childhood developmental stages.

Modeling BMI z score lability during childhood as a function of child temperament and genetic risk for obesity.

This study aimed to examine whether child genetic risk for obesity and temperament (i.e., negative affectivity, effortful control) accounted for stability versus lability in children's weight status (BMI z score) over time. A total of 561 adopted children (42% female; 56% Caucasian, 13% African American, 11% Latino, and 20% other) and their birth and adoptive parents were followed from birth to age 9 years. The multilevel location-scale model was used to examine whether child genetic risk for obesity and temperament were related to differences in level and lability in child BMI z scores over time. For the full sample, higher levels of child negative affectivity were associated with greater BMI z score lability, whereas higher levels of effortful control and children's mean-level BMI z scores were related to less lability across childhood. Additional analyses examined associations within groups of children with healthy versus overweight/obesity weight statuses. Within the healthy weight status group only, better effortful control was associated with more stable BMI z scores, whereas genetic risk for higher BMI was associated with more labile BMI z scores. These findings provide insights into factors that can be harnessed to redirect unhealthy trajectories as well as factors that may challenge redirection or maintain a healthy trajectory.

Individualized Implementation of Youth Quality of Life Instrument-Research Version (YQOL-R) Among Chinese Adolescents with Different Weight Status.

This study implemented the individualized Youth Quality of Life Instrument-Research Version (YQOL-R) to estimate the quality of life (QoL) among Chinese adolescents with three different Body Mass Index (BMI) levels. The study aims to explore and provide a reference for developing individualized QoL (IQoL) measurements in China. The sample consisted of 822 aged 11-18 from nine schools. The data collection included all participants' primary characters (age, sex, annual household income, parental education, and recruitment community) and their self-report QoL. Precisely, based on the generic measurement of YQOL-R, we developed IQoL measurements by asking adolescents' perceived five most important things to them (IQOLimportance) and the aspects they most want to change (IQOLchange) from 19 facets, respectively. The one-way analysis of variance (ANOVA) was applied to compare total and subscale scores of IQOLimportance, IQOLchange, and YQOL-R among adolescents with three different weight status. Also, the data analysis used multivariable linear regression modeling to test the effects on scores of IQOLimportance and IQOLchange. Overall, the obese adolescents identified "Having good physical health" as the most important (54.03%) and most like-to-change (42.65%); in contrast, the normal-weight group ranked "Being myself" as the top facet of IQOLimportance (52.42%) and "Having good friends" as the top facet of IQOLchange (43.12%). The obese adolescents' reported IQOLimportance scores are significantly lower than those of the normal-weight group (P=0.039). However, there is no significant difference in IQOLchange score among the three weight-status groups. The multivariable linear regression models indicated that adolescents who are girls (P=0.035), have higher educated fathers (P=0.049), and are overweight/obese (P=0.041) self-reported worse IQOLimportance score; yet, the girls (P=0.023) and older adolescents (P=0.004) answered lower IQOLchange scores. In addition, adolescents who had higher educated mothers (P=0.047; 0.023) and responded with higher total YQOL-R scores (P<0.001; <0.001) reported higher IQOLimportance and IQOLchange scores. In the current study, although the self-reported YQOL-R scores from different weight status did not present a significant difference, the obese group reported a statistical trend towards lower IQOLimportance scores than the normal-weight and overweight adolescents. These findings emphasize that IQOLimportance and IQOLchange could capture adolescents' perspectives with different weight statuses about their lives, which are unique as complementary health outcomes accompanying YQOL-R in health surveys and interventions among Chinese adolescents.

Socio-Demographic, Lifestyle, and Clinical Characteristics of Early and Later Weight Status in Older Adults: Secondary Analysis of the ASPREE Trial and ALSOP Sub-Study.

To identify the socio-demographic, lifestyle, and clinical characteristics associated with self-reported weight status in early (age 18 years) and late (age ≥ 70 years) adulthood. The number of participants was 11,288, who were relatively healthy community-dwelling Australian adults aged ≥70 years (mean age 75.1 ± 4.2 years) in the Aspirin in Reducing Events in the Elderly (ASPREE) Longitudinal Study of Older Persons (ALSOP) sub-study. Self-reported weight at the study baseline (age ≥ 70 years) and recalled weight at age 18 years were collected. Height measured at baseline was used to calculate the BMI at both time points. Individuals were categorised into one of five 'lifetime' weight status groups: healthy weight (at both age 18 year and ≥70 years), overweight (at either or both times), non-obese (age 18 year) to obesity (age ≥70 years), obesity (age 18 years) to non-obese (age ≥ 70 years), and early and later life obesity (at age 18 years and ≥70 years). Participants who experienced obesity in early and/or late adulthood were at a higher risk of adverse clinical characteristics. Obesity in late adulthood (regardless of early adulthood weight status) was associated with high proportions of hypertension, diabetes, and dyslipidaemia, whereas obesity in early adulthood (regardless of late adulthood weight status) was associated with lower cognitive scores (on all four measures). Healthy or overweight weight status in early and later adulthood was associated with more favourable socioeconomic, lifestyle, and clinical measures. Obesity in early adulthood was associated with lower cognitive function in later adulthood, whereas obesity in later adulthood was associated with hypertension, diabetes, and dyslipidaemia.

The influence of weight on psychosocial well-being in diabetes

BackgroundIndividuals with diabetes experience a wide variety of psychosocial responses to their illness due, in part, to the nature of type 1 and type 2 diabetes. Variation in patient weight may play a central role in these differences, yet its influence on psychosocial variation is largely unknown. The current study investigates the relationship between patients’ perceived weight status and aspects of psychosocial well-being among individuals with type 1 diabetes (T1D) and type 2 diabetes (T2D).MethodsIndividuals who were diagnosed with type 1 or type 2 diabetes were assessed via an online survey from the Diabetes, Identity, Attributions, and Health Study. Participants were categorized into a lower v. higher weight status group based on their self-reported perceived weight. Analyses of covariance were conducted to assess differences in measures of disease onset blame, diabetes stigma, and identity concerns among diabetes type and perceived weight status. Covariates included in our models were gender, age, education, and time since diagnosis. Bonferroni correction was used for post-hoc tests to assess any significant interactions found in our models.ResultsFindings indicated that weight moderates multiple psychosocial outcomes pertinent to illness experience. Those with T2D and lower weight blamed themselves less for their disease onset, while those with higher weight felt blamed more for their disease onset by others, regardless of diabetes type. Individuals with T1D and higher weight were more frequently and more concerned about being mistaken for having the other disease type (i.e., T2D) compared to those with lower weight.ConclusionsWeight is a key influence on the psychosocial outcomes for people with diabetes, but it operates differently in type 1 versus type 2 diabetes. By further examining the unique interaction between disease type and weight status we may be able to improve psychological well-being among affected individuals of all sizes.

Validation of a Farsi version of the Eating Pathology Symptoms Inventory (F-EPSI) among Iranian adolescents

PurposeLimited research has validated eating pathology assessments in Iranian adolescent boys and girls. In particular, the measures that have been validated do not capture both boys’ and girls’ eating behaviors in adolescence. The purpose of the current study was to validate a Farsi version of the Eating Pathology Symptoms Inventory (F-EPSI) for use in Iranian adolescents.MethodsParticipants (N = 913; 85.3% girls) were adolescents who completed a battery of questionnaires including the F-EPSI. In addition, F-EPSI data for Iranian adolescents were compared with those of previously published data of adult Iranian college students.ResultsConfirmatory Factor Analysis (CFA) indicated that the F-EPSI had an acceptable fit to the data and supported the eight-factor model. The scale was invariant by gender, weight status, eating disorder, and age groups. Boys reported higher scores than girls on the Excessive Exercise, Muscle Building, Body Dissatisfaction, and Binge Eating subscales. Adolescents with higher weight and eating disorder symptoms endorsed higher scores on the F-EPSI subscales. Older adolescents and adults reported higher scores than younger adolescents and adolescents, respectively. Adolescents had higher scores than adults on Restricting and Excessive Exercise subscales. The F-EPSI demonstrated good convergent validity through correlations with other eating pathology symptoms. The F-EPSI subscales were associated with depression and body mass index (zBMI) in expected directions that indicate criterion validity of the scale.ConclusionsFindings suggest that the F-EPSI is a reliable and valid measure in Iranian non-clinical adolescents. The F-EPSI will enable researchers to examine a broad array of eating pathology symptoms in adolescents for whom Farsi is their official language.Level of evidenceLevel V; Cross-sectional descriptive study.

Normative Values and Psychometric Properties of EQ-5D-Y-3L in Chilean Youth Population among Different Weight Statuses.

This study aimed to provide population norms among children and adolescents in Chile using the EQ-5D-Y-3L questionnaire and to examine its feasibility and validity among body weight statuses. This was a cross-sectional study in which 2204 children and adolescents (aged 8-18 years) from Chile completed a set of questionnaires providing sociodemographic, anthropometric and health-related quality of life (HRQoL) data using the five EQ-5D-Y-3L dimensions and its visual analogue scale (EQ-VAS). Descriptive statistics of the five dimensions and the EQ-VAS were categorized into body weight status groups for the EQ-5D-Y-3L population norms. The ceiling effect, feasibility and discriminant/convergent validity of the EQ-5D-Y-3L were tested. The dimensions of the EQ-5D-Y-3L questionnaire presented more ceiling effects than the EQ-VAS. The validity showed that the EQ-VAS could discriminate among body weight statuses. However, the EQ-5D-Y-3L index (EQ-Index) demonstrated a non-acceptable discriminant validity. Furthermore, both the EQ-Index and the EQ-VAS presented an acceptable concurrent validity among weight statuses. The normative values of the EQ-5D-Y-3L indicated its potential use as a reference for future studies. However, the validity of the EQ-5D-Y-3L for comparing the HRQoL among weight statuses could be insufficient.

Urinary cortisol is lower in pregnant women with higher pre-pregnancy BMI.

Although cortisol levels increase during normal pregnancy, particularly high levels of cortisol or stress have been associated with adverse maternal/child outcomes. Obesity is associated with altered cortisol metabolism, but there is limited information on pregnancy-related changes in cortisol in pregnant women with overweight/obesity. The objective of this study was to examine weekly measures of urinary cortisol and perceived stress throughout ~10-36 weeks gestation, if levels differ by pre-pregnancy BMI categories, and whether concurrent measures of urinary cortisol and perceived stress are associated. Longitudinal observational data from Healthy Mom Zone, a gestational weight management intervention, and an ancillary fetal growth study were combined. Pregnant women with normal (n=7), overweight (n=11), or obese (n=14) pre-pregnancy BMI were recruited at >8 weeks gestation. Overnight urinary cortisol and Perceived Stress Scale were measured weekly from ~10-36 weeks gestation. Higher pre-pregnancy BMI was associated with overall lower urinary cortisol throughout gestation, but rate of increase in urinary cortisol across pregnancy was similar across weight status groups. Women with obesity reported higher levels of overall perceived stress than normal weight women. Regardless of weight status, perceived stress was not associated with gestational age or cortisol. Although women with obesity reported higher perceived stress, they had lower urinary cortisol than women with normal BMI, and gestation-related increases in cortisol were similar across weight groups and unrelated to perceived stress, suggesting that physiological factors that drive increases in cortisol as pregnancy may outweigh effects of stress and adiposity. https://clinicaltrials.gov/ct2/show/NCT03945266, identifier (NCT03945266).

Comparison of bioelectrical impedance analysis–derived phase angle in individuals with different weight status

ObjectiveObesity is characterized not only by an increase of fat mass but also by alterations in skeletal muscle. Bioimpedance analysis (BIA)-derived phase angle (PhA) may provide specific information on the inherent characteristics of fat-free mass, and is widely used as an index of poor nutritional status. The aim of this study was to describe whether and to what extent PhA varies depending on age, sex, and body mass index (BMI) in individuals with different weight status. MethodsWe selected 1877 participants for this retrospective study (two weight status groups): 983 individuals with obesity (age 40 ± 13.9 y; BMI 39.5 ± 7.2 kg/m²) and 894 controls (age 40 ± 13.3 y; BMI 24.6 ± 2.7 kg/m²). Anthropometry and PhA at 50 kHz for the whole body were performed in all participants. ResultsPhA was greater in men than in women, although a decline of PhA was observed with age, which was linear in women and occurred in men after 40 y of age. On the other hand, no significant differences were observed with increasing BMI in either sex; lower values might be observed when BMI >50 kg/m². ConclusionsA more detailed appraisal of BIA-derived PhA in obesity is reported in the present study, providing basic data that might be taken into consideration in prevention and clinical nutrition. Further studies are needed to explore differences of PhA in individuals with different weight status.

Psychometric properties of the Persian version of the food choice questionnaire and food choice motives among the study population.

This study aimed to evaluate the psychometric properties of the Persian version of the food choice questionnaire (FCQ) and determine food choice motives among different study subgroups. This cross-sectional study was conducted using self-administered questionnaires, including socio-demographic information and body weight and height data. In addition, study samples were asked to complete the Persian version of the FCQ. Educational and medical centres under the coverage of the Shahid Beheshti University of Medical Sciences in Tehran. Study samples were 871 adults (60·5 % female) selected using a convenience sampling method. Mean ± sd age and BMI were 33·4 ± 10·7 years and 24·3 ± 5·2 kg/m2, respectively. More than one-third of the study samples were overweight/obese (35·8 %). A nine-structure model including thirty-two items of the original FCQ showed acceptable fit indices as follows: χ2/df = 3·39, goodness-of-fit index = 0·905, incremental fit index = 0·92, comparative fit index = 0·92, root mean square error of approximation (90 % CI) = 0·052 (0·049, 0·055). Regarding food choice motives, the three most important motives for food choice ranked by study samples were sensory appeal, natural content and health, respectively. Study samples ranked ethical concern as the least important food choice motive. These findings support the reliability and validity of the Iranian version of the FCQ. Additionally, results indicate the most important motives for food choice across various socio-demographic and weight status groups which can provide beneficial information for marketing practices in Iran and promote the food choices of Iranians.

Relationships between physical activity, healthy eating and cortical thickness in children and young adults.

Prior neuroimaging studies have shown associations between healthy lifestyle factors and cortical thickness; however, results on the direction of this association have been inconsistent. While the majority of studies were performed in older adults within specific weight status categories, little has been reported in younger populations with a range of adiposity, including groups with healthy-weight, overweight, and obesity. Here we investigated relationships between indices of physical activity (PA) and healthy eating with cortical thickness in children and youth/young adults and examined whether these relationships differed by weight status and age groups. Study participants included 119 youth/young adults and 159 children. We hypothesized that greater levels of PA and/or healthy eating index (HEI) composite scores would be positively associated with cortical thickness, and that this association would differ in overweight or obese groups versus normal weight groups, as well as youth/young adults vs. child cohorts. Overall PA (minutes/day) was assessed using 24-hour PA recalls. HEI was calculated to assess diet quality. A structural MRI was performed, and FreeSurfer 6.0 was used to assess cortical thickness in 68 regions of interest (ROI). Mixed effects modeling was performed to investigate associations of PA or HEI with cortical thickness. FDR corrections were applied for multiple ROIs. PA was positively associated with cortical thickness in the caudal middle frontal cortex (FDR adjusted p = 0.042) and cuneus cortex (FDR adjusted p = 0.017) after controlling for sex, age group, and weight status. When stratified by age, in youth/young adults, higher time spent in PA was associated with greater cortical thickness in the frontal, temporal, parietal and occipital cortex, after adjusting for sex and weight group (FDR adjusted ps < 0.05). No significant associations between PA and cortical thickness were observed in children. No significant associations between PA and cortical thickness were observed when stratified by weight group. No significant associations between HEI and cortical thickness were observed. These results indicate that higher time spent in PA is associated with greater cortical thickness, a relationship that appears to be stronger during youth/young adulthood and may be related to more favorable brain health outcomes.

OR15-1 Obesity is Associated with Adolescent Hyperandrogenemia in Girls Aged 6-18, National Health and Nutrition Examination Survey (NHANES) 2013-2016

Abstract Background Peripubertal hyperandrogenemia (HA) often represents a forerunner to adolescent/adult polycystic ovary syndrome (PCOS), but risk factors for peripubertal HA are unclear. Studies have associated obesity with HA throughout puberty (e.g., McCartney, JCEM 2007;92: 430-436, Knudsen, Obesity 2010;18: 2118-2124). However, these studies were performed in academic centers and could have been influenced by recruitment bias. We therefore investigated if there was a difference in calculated free testosterone (T) levels between girls with healthy weight and those with obesity in a nationally-representative U.S. sample. Methods We analyzed data for 1,196 girls aged 6–18 years from the National Health and Nutrition Examination Survey (NHANES) 2013-2016 databases, utilizing a cross-sectional study design. We calculated free T from total T and sex hormone-binding globulin (Vermuelen equation). We divided girls into 3 groups by age, based on presumed pubertal stages: "Pre-/Early" (6–9 years), "Middle" (10–14 years), and "Late" (15–18 years). Each individual was also categorized as healthy-weight (BMI-for-age percentile 5-85) or obese (BMI-for-age percentile ≥95). We analyzed mean free T concentrations by weight status (healthy-weight vs. obese) for each age group by calculating population estimates. We also performed survey-weighted regression analysis to assess the relationships between weight status and age category (independent variables) and free T (outcome). Results Among Pre-/Early girls, free T was 0.33 pg/ml (0.28-0.38) [mean (95% CI)] for healthy-weight vs. 0.86 pg/ml (0.67-1.05) for obese. Among Middle girls, free T was 2.53 pg/ml (2.27-2.78) for healthy-weight vs. 4.35 pg/ml (3.75-4.95) for obese. Among Late girls, free T was 3.33 pg/ml (2.96-3.70) for healthy-weight vs. 5.64 pg/ml (4.93-6.36) for obese. (Notably, in each age group, the 95% CIs for free T did not overlap between healthy-weight vs. obese subgroups). Mean free T increased with advancing age in both healthy-weight and obese groups, especially between Pre-/Early and Middle age ranges (Pre-/Early-to-Middle differences were 2.20 pg/ml for healthy-weight and 3.49 pg/ml for obese). Our regression model accounted for 45% of the variance in free T (R2=0.45). Both weight status (obese vs. healthy-weight) and age group were independent predictors of free T concentrations (p&amp;lt;0.0001 for both). When adding an age-in-months-by-BMI-percentile interaction term, the model R2 value was 0.47, with age category, weight category, and the interaction term all being independent predictors of free T (p&amp;lt;0.001 for all). Conclusion We conclude that obesity is associated with higher free T levels in U.S. girls aged 6–18 years. Age also predicts free T, likely reflecting increases related to pubertal maturation, and free T differences according to weight status are more prominent in older girls. This study in a nationally-representative sample of U.S. girls supports previous analyses of girls studied at academic centers, further suggesting an important relationship between obesity and peripubertal androgen excess. Presentation: Sunday, June 12, 2022 11:00 a.m. - 11:15 a.m.

The characteristics of postprandial glycemic response patterns to white rice and glucose in healthy adults: Identifying subgroups by clustering analysis.

Large interpersonal variability in postprandial glycemic response (PGR) to white rice has been reported, and differences in the PGR patterns during the oral glucose tolerance test (OGTT) have been documented. However, there is scant study on the PGR patterns of white rice. We examined the typical PGR patterns of white rice and glucose and the association between them. We analyzed the data of 3-h PGRs to white rice (WR) and glucose (G) of 114 normoglycemic female subjects of similar age, weight status, and same ethnic group. Diverse glycemic parameters, based on the discrete blood glucose values, were calculated over 120 and 180 min. K-means clustering based on glycemic parameters calculated over 180 min was applied to identify subgroups and representative PGR patterns. Principal factor analysis based on the parameters used in the cluster analysis was applied to characterize PGR patterns. Simple correspondence analysis was performed on the clustering categories of WR and G. More distinct differences were found in glycemic parameters calculated over 180 min compared with that calculated over 120 min, especially in the negative area under the curve and Nadir. We identified four distinct PGR patterns to WR (WR1, WR2, WR3, and WR4) and G (G1, G2, G3, and G4), respectively. There were significant differences among the patterns regard to postprandial hyperglycemia, hypoglycemic, and glycemic variability. The WR1 clusters had significantly lower glycemic index (59 ± 19), while no difference was found among the glycemic index based on the other three clusters. Each given G subgroup presented multiple patterns of PGR to WR, especially in the largest G subgroup (G1), and in subgroup with the greatest glycemic variability (G3). Multiple subgroups could be classified based on the PGR patterns to white rice and glucose even in seemingly homogeneous subjects. Extending the monitoring time to 180 min was conducive to more effective discrimination of PGR patterns. It may not be reliable to extrapolate the patterns of PGR to rice from that to glucose, suggesting a need of combining OGTT and meal tolerance test for individualized glycemic management.