The relationship between fat distribution and diabetes in US adults by race/ethnicity.

Introduction: This study examined the relationship between fat distribution and diabetes by sex-specific racial/ethnic groups. Methods: A secondary data analysis of National Health and Nutrition Examination Survey 2011-2018 data (n = 11,972) was completed. Key variables examined were visceral adipose tissue area (VATA), subcutaneous fat area (SFA), diabetes prevalence, and race/ethnicity. The association of VATA and SFA and diabetes prevalence was examined separately and simultaneously using multiple logistic regression. Bonferroni corrections were applied to all multiple comparisons between racial/ethnic groups. All analyses were adjusted for demographics and muscle mass. Results: VATA was positively associated with diabetes in both sexes (p < 0.001) and across all racial/ethnic groups (p < 0.05) except Black females. No statistically significant relationships were observed between SFA and diabetes while accounting for VATA with the exception of White females (p = 0.032). When comparing racial/ethnic groups, the relationship between VATA and diabetes was stronger in White and Hispanic females than in Black females (p < 0.005) while the relationship between SFA and diabetes did not differ between any racial/ethnic groups. Conclusion: This study found that VATA is associated with diabetes for both sexes across almost all racial/ethnic groups independent of SFA whereas the only significant relationship between SFA and diabetes, independent of VATA, was observed in White females. The findings indicated that visceral fat was more strongly associated with diabetes than subcutaneous. Additionally, there are health disparities in sex-specific racial/ethnic groups thus further study is warranted.

Sex and race/ethnicity specific reference predictive equations for abdominal adiposity indices using anthropometry in US adults.

BACKGROUND AND AIMS: Abdominal adiposity indices have stronger associations with cardiometabolic risk factors compared to anthropometric measures but are rarely used in large scale studies due to the cost and efficiency. The aim of this study is to establish sex and race/ethnicity specific reference equations using anthropometric measures. METHODS AND RESULTS: A secondary data analysis (n = 6589) of healthy adults was conducted using data from National Health and Nutrition Examination Survey 2011-2018. Variables included in the analyses were anthropometric measures (height; weight; waist circumference, WC) and abdominal adiposity indices (android percent fat; android to gynoid ratio, A/G ratio; visceral adipose tissue area, VATA; visceral to subcutaneous adipose area ratio, VSR). Multivariable prediction models were developed using quantile regression. Bland-Altman was used for external validation of prediction models. Reference equations to estimate android percent fat, A/G ratio, VATA and VSR from anthropometric measurements were developed using a randomly selected subsample of 4613. These reference equations for four abdominal adiposity indices were then cross-validated in the remaining subsample of 1976. The measured and predicted android percent fat, A/G ratio, VATA and VSR were not statistically different (p > 0.05) except for the A/G ratio in Asian males and VSR in White females. The results of Bland-Altman further revealed that ≥93% of predicted abdominal adiposity indices fell within the limits of agreement (±1.96 standard deviation). CONCLUSION: The sex and race/ethnicity specific reference equations for abdominal adiposity indices established using anthropometrics in the present study have strong predictive ability in US healthy adults.

Formative evaluation of a STEAM and nutrition education summer program for low-income youth.

In-depth formative evaluations are vital for curriculum development and program planning but are often not conducted before a program pilots. A formative evaluation of Project stRIde was conducted to gain insight from experts and identify revisions to the curriculum. Project stRIde is a science, technology, engineering, arts, and mathematics (STEAM) and nutrition-based curriculum developed for 4th and 5th grade students from low-income and diverse families. Nine experts spanning the fields of nutrition education, cultural competency, elementary education, summer programs, and STEAM outreach were recruited to participate in an expert content review (ECR) survey and virtual interviews. Seven core themes were identified: effectively promoting student engagement, increased guidance or support needed, activity too difficult for age, time, confidence in teaching lessons, cultural appropriateness, and strengths of curriculum in promoting STEAM education and innovation. Across the lessons, all reviewers agreed that the lessons were accurate, incorporated STEAM concepts, and were culturally appropriate for this population. Future major edits to the curriculum include creating supplemental videos, modifying some activities for age level, and incorporating more opportunities for participant engagement. Overall, an ECR is an effective way to examine a program's strengths and limitations and should be included in the beginning stages of program planning.

Eating pace instruction is effective in slowing eating rate in women with overweight and obesity.

Slow eating is associated with lower body mass index (BMI), enhanced satiety, and reduced food intake in laboratory settings. This study developed and tested a 5-week slow-eating intervention, delivered either through individual or small group weekly meetings, in women with overweight and obesity. Women (n = 65; 20.5 ± 3.6 years; BMI 31.3 ± 2.7 kg/m2) were assigned to experimental or parallel non-treatment control. Main outcomes, measured pre- and post-intervention, included eating rate, meal duration, and energy intake during a standardized meal served on a universal eating monitor. Exploratory outcomes included Weight Related Eating Questionnaire (WREQ), Intuitive Eating Scale (IES), and Mindful Eating Questionnaire (MEQ) scores. All women in the experimental group underwent the same slow-eating intervention, but half had individual sessions while the other half had small group sessions. No differences were seen for any outcomes between session modalities, so experimental data were pooled (n = 25) and compared to control data (n = 25). Time-by-group interactions showed reduced eating rate (F(1,48df) = 13.04, η2 = 0.214, p = .001) and increased meal duration (F(1,48df) = 7.949, η2 = 0.142, p = .007) in the experimental group compared to the control group but change in energy intake was not significant (F(1,48df) = 3.298, η2 = 0.064, p = .076). Experimental within-group changes for WREQ subscale scores External Cues (t(23) = 3.779, p = .001) and Emotional Eating (t(23) = 2.282, p = .032) decreased over time, along with increased total and summary IES (t(23) = 2.6330, p = .015) and MEQ (t(23) = 2.663, p = .014) scores. Promising findings of reduced eating rate, increased meal duration, and improved WREQ, IES, and MEQ scores should be followed up in larger more diverse samples for longer durations.

The Sex and Race/Ethnicity-Specific Relationships of Abdominal Fat Distribution and Anthropometric Indices in US Adults.

The purpose of this study was to examine demographic-specific relationships between direct abdominal fat measures and anthropometric indices. A cross-sectional study was conducted utilizing abdominal fat measures (visceral fat area, VFA; visceral to subcutaneous adipose area ratio, VSR) and anthropometrics (body mass index, BMI; waist circumference, WC) data from the 2011-2018 National Health and Nutrition Examination Survey. Linear or polynomial linear regression models were used to examine the relationships of abdominal fat measures to anthropometrics with adjustment for demographics. The results revealed that while VFA was linearly related to BMI and WC across all demographics (p < 0.001), the relationships between VSR and both BMI and WC were concave in men and convex in women. The relationships between VFA, VSR, and BMI, WC varied by sex and race/ethnicity. In conclusion, increasing BMI and WC were linearly associated with increased VFA, but their relationships with VSR were nonlinear and differed by sex.

The Demographic Specific Abdominal Fat Composition and Distribution Trends in US Adults from 2011 to 2018.

Despite the rising awareness of abdominal adiposity associated health problems and demographic health disparities, research is lacking about abdominal fat trends using a national representative sample of US adults. Our purpose was to examine national demographic specific abdominal fat composition and distribution trends from 2011 to 2018. This trend analysis was using National Health and Nutrition Examination Survey data (n = 13,163). Visceral adipose percent (VAT%), visceral adipose tissue area (VAA) and visceral to subcutaneous adipose area ratio (VSR) were utilized in data analyses. Multiple polynomial linear regression was utilized with adjustment for confounding variables. Our findings revealed that VAT%, VAA and VSR trends were concave among all demographic groups. The VAT%, VAA and/or VSR changes were observed in most demographic groups (p < 0.05) except younger, White and Black respondents. The pattern was consistent with biennial increases up to 2014 or 2016 followed by decreases in 2017-2018. There were demographic disparities, with middle-aged respondents and Hispanics having the most evident VAT%, VSR and/or VAA changes biennially when compared to their counterparts (p < 0.05). In conclusion, abdominal fat composition and distribution increased before 2014 or 2016 but decreased afterwards with variations by age and/or race/ethnicity. Further research is needed to explore the possible causes of abdominal fat changes overtime.

The Relationship of Physical Activity and Dietary Quality and Diabetes Prevalence in US Adults: Findings from NHANES 2011-2018.

This study aimed to examine the relationship of physical activity and/or dietary quality and diabetes prevalence in the general population and within specific age groups. It was a cross-sectional study using 2011−2018 National Health and Nutrition Examination Survey and the US Department of Agriculture's Food Patterns Equivalents data (n = 15,674). Physical activity was measured by Global Physical Activity questionnaire; dietary quality was analyzed using the Healthy Eating Index 2015; diabetes prevalence was determined by reported diagnosis and glycohemoglobin or fasting glucose. Data were analyzed using multiple logistic regression adjusted for demographic variables and weight status. Results revealed that although no statistically significant or non-substantial relationships were observed between dietary quality or physical activity and diabetes prevalence, respondents who did not meet physical activity recommendations regardless of dietary quality had a higher odds of diabetes prevalence than those who met physical activity recommendations and had a higher dietary quality (p < 0.05). In conclusion, meeting physical activity recommendations is an important protective factor for diabetes especially in combination with a higher quality diet. A healthy lifestyle appears to have the greater impact on diabetes prevention in middle-aged men and women.

The Relationship of Physical Activity and Dietary Quality with Android Fat Composition and Distribution in US Adults.

This study examined the relationship of physical activity (PA) and dietary quality to android fat composition and distribution using a national representative adult sample and determined sex-based differences in these relationships. It is a cross-sectional (n = 10,014) analysis of the 2011−2018 National Health and Nutrition Examination Survey and the US department of Agriculture's Food Patterns Equivalents datasets. Variables utilized for this analysis include PA, 24-h dietary recalls, android percent fat, and android-gynoid (A/G) ratio measured by dual-energy X-ray absorptiometry. Multiple linear regression was performed to examine the relationship between PA and/or dietary quality and android percent fat and A/G ratio adjusted for confounding factors. The study results revealed that PA and/or dietary quality were inversely related to android percent fat and A/G ratio (p < 0.05), but the sex effect was only seen between PA and A/G ratio (p = 0.003). Participants who met PA recommendations and had higher dietary quality had 2.12% lower android fat than those who did not meet PA recommendations and had lower dietary quality (p < 0.001). Both PA and dietary quality are associated with android fat reduction regardless of sex. Given the direct connection between android fat and cardiovascular and metabolic diseases, it is important to increase both PA and dietary quality.

Establishing criterion validity for the Revised Critical Nutrition Literacy Tool in U.S. college students.

BACKGROUND: Critical nutrition literacy (CNL) plays an important role in how college students make everyday decisions about nutrition choices. Increasing CNL is an aim of many introductory nutrition courses, but there are limited instruments measuring this construct. This study aimed to assess the changeability of CNL and the relationship between CNL and markers of diet quality in young adults. DESIGN: This was a two-phase research project consisting of a nonexperimental, pre-post study and a cross-sectional assessment from 2018 to 2019. Participants were U.S. college students, 18-24 years old, recruited from introductory-level courses from three participating universities, located in Rhode Island, West Virginia, and New Jersey. SUBJECTS AND METHODS: Interventions consisted of (1) a 4-credit, 13-week nutrition course and (2) a cross-sectional, online behavior, environment, and perception survey. CNL was measured using the Revised CNL Tool (CNLT-R) instrument across both phases. Measures for phases include: (1) the changeability of CNL and (2) the relationship between CNL and markers of diet quality. ANALYSIS: Paired t-tests and multivariate analysis of variance were utilized through SPSS version 25.0. RESULTS: CNL score significantly increased from baseline to postintervention from 3.38 ± 0.48 to 3.61 ± 0.55 (P = 0.014). There was an overall significant effect of CNL on markers of diet quality, such as cups of fruits and vegetables (F/V) and teaspoons of added sugar (F [2,1321] = 3.12, P < 0.05; Wilks' Λ = 0.99). CONCLUSIONS: This research found that an introduction to nutrition course was associated with an increase in CNL and that CNL is related to diet quality. The instrument could be used by nutrition educators as an outcome assessment. Future research should investigate other components of the CNL construct as well as predictive validity.

Relationships of Physical Activity and Diet Quality with Body Composition and Fat Distribution in US Adults.

OBJECTIVE: This study aimed to investigate the relationships among physical activity (PA), diet quality, body composition, and fat distribution in a representative sample of US adults. METHODS: A cross-sectional analysis was conducted using publicly accessible data from the 2011 to 2016 National Health and Nutrition Examination Survey and the Food Patterns Equivalents Database (n = 7,423). Variables from the data sets were analyzed for this study, including PA, two 24-hour dietary recalls, and dual-energy x-ray absorptiometry outputs. RESULTS: For men, PA and diet quality were inversely associated with the percentage of body fat (ß = -0.0042, 95% CI: -0.0084 to -0.0001; ß = -0.28, 95% CI: -0.42 to -0.14) and fat mass index (ß = -0.0125, 95% CI: -0.0209 to -0.0041; ß = -0.56, 95% CI: -0.81 to -0.32); meeting the PA recommendation and having good diet quality provided an additive effect on body fat. A similar pattern was observed in women. Additionally, diet quality was inversely associated with all fat distribution measures in both sexes, whereas PA was positively associated with lean mass measures in men only. CONCLUSIONS: Increased PA and/or better diet quality were associated with reduced body fat, a healthier fat distribution, and increased lean mass. Further research examining how changes in PA or diet quality influence body composition and fat distribution in adults is warranted.

Food Insecurity Is Associated with Increased Risk of Obesity in US College Students.

BACKGROUND: Food insecurity affects millions of Americans and college students are especially vulnerable. Little is known about the relation of food insecurity with weight status and dietary intake during this critical phase of emerging adulthood. OBJECTIVES: We aimed to examine the sex-specific associations of food insecurity with obesity and dietary intake among college students. The study also explored these associations by meal plan (MP) enrollment. METHODS: This cross-sectional study included 683 second-year students at 8 universities in the United States. Food security status and dietary intake were assessed using the USDA Adult Food Security Survey and the Dietary Screener Questionnaire, respectively. On-site anthropometrics were measured by researchers. RESULTS: The prevalence of food insecurity at the universities ranged from 19.0% to 34.1% with a mean of 25.4% for the entire sample. Compared with high food security, marginal food security and food insecurity were associated with 3.16 (95% CI: 1.55, 6.46) and 5.13 (95% CI: 2.63, 10.00) times increased odds of obesity, respectively, exhibiting a dose-response relation. Food insecurity remained a significant predictor of obesity among both sexes after adjusting for sociodemographic variables. Food-insecure (FI) students had a significantly lower intake of fruits and vegetables and higher intake of added sugars than food-secure (FS) students. Obesity rate and added sugars consumption were higher among FI students with MPs than among FI students lacking MPs and FS students regardless of MP status. Among students with MPs, FS students had a higher intake of fruits and vegetables than FI students. CONCLUSIONS: Food insecurity was associated with obesity and poor dietary intake among both sexes. Although MP subsidies may be a reasoned approach to combat food insecurity, it should be coupled with efforts to assist students in making healthy food choices.Registered at clinicaltrials.gov as NCT02941497.

Temporal Association between Abdominal Weight Status and Healthy Aging: Findings from the 2011-2018 National Health and Aging Trends Study.

BACKGROUND/OBJECTIVES: The longitudinal effect of abdominal weight status (AWS) defined by waist circumference (WC) on healthy aging has not yet been comprehensively examined. Therefore, the purpose of the present study was to examine the temporal association between WC-defined AWS and a comprehensive assessment for healthy aging. SUBJECTS/METHODS: This study utilized data from 5211 respondents aged 65+ who participated in the National Health and Aging Trends Study from 2011 to 2018. Mixed effects regression models were used to examine the association between baseline AWS and the annual change rate in healthy aging score (HAS) via interaction terms (AWS*round) adjusting for confounding effects. Further multiple mixed models examined the relationship of AWS and HAS over an 8-year period. RESULTS: There were no annual change rate differences in HAS by baseline AWS, regardless of sex. However, males with abdominal obesity were more likely to have a lower HAS than males with normal AWS (ß = -0.20, 95% CI: -0.30, -0.10, p < 0.001) but no difference in HAS was observed between males with overweight and normal AWS. A similar pattern was observed among females. CONCLUSIONS: Study results indicate that AWS was associated with HAS but it did not modify annual HAS change rate over time.

eB4CAST Approach Improves Science Communication With Stakeholders in a College-Based Health Program.

Communicating scientific results with community partners is often lacking in intervention programs, thus eB4CAST was developed to facilitate impact sharing. This article investigated using the eB4CAST dissemination tool to communicate impact from a campus-based obesity prevention program. Data from Get Fruved RCT university sites collected at baseline were used to generate eB4CAST reports. Experts (n = 13) and RCT sites (n = 15) were asked to provide feedback on eB4CAST reports based on appeal, understanding, and clarity. On all Likert items, participants rated above 7 on each (out of 10). Positive responses from open-ended questions included eB4CAST reports being clear, visually appealing, and aid in program understanding. Overall, eB4CAST was successful in relaying data and information for the Get Fruved program, thus a means for science communication that could be used in interventions. Utilizing infographics to report data and information is a feasible way to disseminate and communicate in a cost-effective, timely manner.

Development of an Instrument Measuring Perceived Environmental Healthfulness: Behavior Environment Perception Survey (BEPS).

OBJECTIVE: To create a tool to measure college students' perception of the healthfulness of their environment. DESIGN: (1) Item generation, (2) cognitive interview testing and exploratory factor analysis, (3) item refinement/modification, (4) factor structure validation, and (5) criterion validation. SETTING: Ten college campuses. PARTICIPANTS: Time point 1 (n = 120 cognitive interviews; n = 922 factor analysis); time point 2 (n = 2,676), convenience sample of undergraduate students. MAIN OUTCOME MEASURES: Cognitive interviews and survey data were used to assess perceptions about the environment. ANALYSIS: Exploratory factor analysis, structural equation confirmatory factor analysis, correlations, and regressions. RESULTS: Item generation resulted in 93 items. Items were eliminated based on cognitive interviews, exploratory factor analysis of pilot data, and elimination of cross-loading or weak loading items. In confirmatory analyses, a 21-item, 5-factor structure was the best fit for the data (χ2 = 3,286.77, degrees of freedom = 189; comparative fit index = 0.840; root-mean-square error of approximation = 0.078). Environmental factors include physical activity (α = 0.68, 4 items), healthful eating (α = 0.86, 5 items), mental health (α = 0.85, 5 items), barriers to healthful eating (α = 0.70, 4 items), and peer influences (α = 0.73, 3 items). There were significant associations between scales and validation criteria (P < .05). CONCLUSIONS AND IMPLICATIONS: The Behavior Environment Perception Survey is a novel instrument measuring perceptions of the healthfulness of the campus environment. Strengths include a development process involving 10 different universities, strong psychometric properties, and breadth of constructs.

Racial/Ethnic Disparities in US Adolescents' Dietary Quality and Its Modification by Weight-Related Factors and Physical Activity.

There are well-known disparities in the prevalence of obesity across racial-ethnic groups, although the behavioral and psychological factors driving these disparities are less well understood. Therefore, the objectives of this study were: (1) to examine differences in dietary quality by race/ethnicity and weight-related variables [body mass index (BMI), weight loss attempt, and weight dissatisfaction] and physical activity (PA) using the Health Eating Index-2015 (HEI-2015); and (2) to investigate the interactions and independent associations of race/ethnicity, weight-related variables and PA on dietary quality. Data for adolescents aged 12-19 years (n = 3373) were abstracted from the 2007-2014 National Health and Nutrition and Examination Survey and analyzed using multiple PROC SURVEYREG, adjusting for demographics and accounting for complex sampling. Analyses determined that Hispanic males had better overall HEI-2015 scores than non-Hispanic whites (48.4 ± 0.5 vs. 45.7 ± 0.6, p = 0.003) or blacks (48.4 ± 0.5 vs. 45.5 ± 0.5, p < 0.001). Hispanic females also had better dietary quality than non-Hispanic whites (50.2 ± 0.4 vs. 47.5 ± 0.5, p < 0.001) and blacks (50.2 ± 0.4 vs. 47.1 ± 0.5, p < 0.001). Meeting the PA recommendation modified racial/ethnic differences in dietary quality for females (p = 0.011) and this was primarily driven by the associations among non-Hispanic white females (ΔR2 = 2.6%, p = 0.0004). The study identified racial/ethnic and gender differences among adolescents in factors that may promote obesity. Results may be useful for obesity prevention efforts designed to reduce health disparities in adolescents.

A Multi-Year Examination of Gardening Experience and Fruit and Vegetable Intake During College.

Gardening has been positively associated with fruit and vegetable (FV) consumption based on short-term studies among children, but long-term data among adolescents and young adults are lacking. This investigation sought to elucidate the association between gardening experience and FV intake among college students over a two-year period. Students (N = 593) from eight universities were assessed at the end of their freshman (Y1) and sophomore (Y2) years during the springs of 2016 and 2017, respectively. At each time point, participants completed the NCI FV Screener and questions related to gardening experience and FV-related attitudes and behaviors. Students were then categorized into four groups based on gardening experience: Gardened only during the first or second year (Y1 only and Y2 only gardeners), gardened both years (Y1+Y2 gardeners), and non-gardeners. While both Y1 only and Y1+Y2 gardeners reported significantly higher FV intake relative to non-gardeners at Y1 (2.3 ± 0.9 and 2.6 ± 0.7 versus 1.9 ± 0.6 cup equivalents (CE)/day, respectively; p < 0.01), only Y1+Y2 gardeners differed from non-gardeners at Y2 (2.4 ± 0.6 versus 1.8 ± 0.5 CE/day; p < 0.001). Additionally, Y1+Y2 gardeners reported more frequent engagement of several FV-related behaviors, including shopping at farmers' markets, eating locally grown foods, and cooking from basic ingredients; and were five times more likely to have gardened during childhood (OR: 5.2, 95%, CI: 3.5-8.8; p < 0.001). Findings suggest that while isolated gardening experiences during college are associated with FV intake, reoccurring experience may be essential for sustained benefit.

Sex Differences in Lifestyle Behaviors among U.S. College Freshmen.

Within lifestyle behavior research, the sex of populations causes differences in behaviors and outcomes of studies. This cross-sectional study investigated lifestyle behavior patterns in college students, examining sex differences in four areas: Nutrition, physical activity, sleep, and stress. Data from over 1100 college freshmen across 8 United States universities were used for this cross-sectional analysis. Self-reported data assessed fruit and vegetable intake, fat percent intake, physical activity, perceived stress, and sleep quality. Statistical analysis included Pearson chi-squared and Mann⁻Whitney's U tests for scores by sex. Likewise, healthy cut-offs were used to determine frequency of participants within range of the five tools. Males reported higher intake of both fruits and vegetables, and percent energy from fat than females. Males also reported higher physical activity levels, lower stress levels, and poorer sleep quality than females. Of the five self-reported tools, males were found to have a larger frequency of participants with healthy ranges than females. In a large college freshmen sample, sex was found to be related to general lifestyle behaviors which strengthen results reported in the previous literature. These findings shed light on the need for lifestyle behavior interventions among at-risk college students to enhance their behaviors to healthy levels.

Trajectories of Maintenance and Resilience in Healthful Eating and Exercise Behaviors in Older Adults.

OBJECTIVE: Our objective was to describe behavioral change trajectories for healthful eating and exercise in a group of community-dwelling older adults. A secondary aim was to determine predictors of maintenance and resilience. METHOD: Subjects were participants in the Study of Exercise and Nutrition in Older Rhode Islanders (SENIOR) I study who had achieved postaction stage of change for at least one behavior by its end. They were recruited for SENIOR II, a 48-month study with annual assessments on demographic, anthropometric, cognitive, psychosocial, and behavioral variables. RESULTS: Maintainers generally had higher levels of healthy behaviors and better cognitive function. Resilient older adults were similar to maintainers but were older and had greater functional limitations. DISCUSSION: Findings suggest that both physical health and psychological capital provide important resources upon which to draw as older adults grow even older. The trajectory model can provide useful information for developing resilience interventions for older adults.

Correlations of Self-Reported Androgen Deficiency in Ageing Males (ADAM) with Stress and Sleep among Young Adult Males.

Androgen deficiency in males has traditionally been predominantly limited to older men aged 50+ years. However, little is known of the correlation between hormonal disruption, stress, and sleep in college-aged males. This cross-sectional study investigates lifestyle behavior patterns in young men and a screening for potential androgen deficiency. A survey of 409 male students, as part of a larger USDA-funded GetFruved study, was analyzed for this subproject. Survey instruments used include the Androgen Deficiency in the Aging Male Questionnaire (ADAM) to assess for inadequate ADAM scores, the Perceived Stress Scale to measure stress levels and the Pittsburgh Sleep Quality Index to evaluate sleep quality. In total, 144 male participants (35%) met criteria for potential androgen deficiency defined by the ADAM questionnaire. Correlation was found between having a positive ADAM score and both increased stress levels (p < 0.001) and poor sleep quality (p < 0.001), with stress displaying the strongest effect (p < 0.001 vs p = 0.124). An increased prevalence of having a positive ADAM score versus established norms for this age group was also noted. These findings highlight the need for investigation of endocrine disruptions in young men.

The Association between US Adolescents' Weight Status, Weight Perception, Weight Satisfaction, and Their Physical Activity and Dietary Behaviors.

Background: It remain unclear that the association between weight status, weight perception, weight satisfaction and the clustering of physical activity (PA) and dietary behaviors in adolescents. Method: A cross-sectional analysis of National Health and Nutrition Examination Survey and the US Department of Agriculture's Food Patterns Equivalents 2007⁻2014 data from adolescents aged 12⁻17 years (n = 2965) was conducted. Multivariable logistic regression models adjusted for demographic characteristics examined the association between weight status, weight perception, weight satisfaction, and the four created lifestyle groups (healthier behaviors, healthier diet only, physically active only, unhealthier behaviors). Results: Males with obesity were more likely to be in the healthier diet only group than males with a normal weight (OR = 1.90, 95% CI: 1.02, 3.52). Similar patterns were found in males who perceived themselves as being overweight or having obesity (OR = 2.09, 95% CI: 1.09, 3.99) and males with obesity who perceived their weight status accurately (OR = 2.33, 95% CI: 1.12, 4.88). Female respondents who were satisfied with their weight were 59% less likely to be in the healthier diet only group than healthier behaviors group compared with females who were weight dissatisfied (OR = 0.41, 95% CI: 0.23, 0.75). This pattern was not observed in males. Conclusions: Clustering PA and dietary behaviors were associated with weight status and weight perception for males but not females. Weight satisfaction was associated with clustered PA and dietary behaviors for females. These findings are important for obesity prevention policies and programs to better address adolescents' obesity and reduce health disparities in this population.