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Background: Currently, exogenous hormone replacement is used in many men with hypogonadism without clear organic cause. This study examines the contribution of modifiable health behaviors, i.e., physical activity and weight control, to the maintenance of testosterone levels with aging., Methods: In a cross-sectional study of 2994 healthy men aged 50-79 years examined at a preventive medicine clinic from January 2012 to March 2016, screening morning total testosterone levels were measured and categorized as low (<250 ng/dL), low normal (250-399 ng/dL), and normal (>400 ng/dL). Cardiorespiratory fitness (fitness) was estimated from a maximal exercise treadmill test. Multiple logistic regression models were used to test the associations between low testosterone levels and age, body mass index (BMI), and fitness., Findings: Mean testosterone levels were in the normal range for each age group (50-59, 60-69, and 70-79). There was a similar prevalence of low testosterone in each age group (11·3%, 10%, and 10·5%, respectively). The prevalence of low testosterone was positively associated with BMI and negatively associated with fitness but was not associated with age., Interpretation: This study found no evidence that low testosterone is an inevitable consequence of aging. Maintenance of healthy weight and fitness may help maintain normal testosterone levels., (Copyright © 2018 Elsevier B.V. All rights reserved.)

Objectives: Although psychosocial stress can result in adverse health outcomes, little is known about how perceptions of neighborhood conditions, a measure of environment-derived stress, may impact obesity. The association between perceptions of neighborhood environment and obesity (defined as body mass index [BMI] ≥ 30 kg/m(2) ) among 5,907 participants in the Dallas Heart Study, a multi-ethnic, probability-based sample of Dallas County residents was examined., Design and Methods: Participants were asked to respond to 18 questions about perceptions of their neighborhood. Factor analysis was used to identify three factors associated with neighborhood perceptions: neighborhood violence, physical environment, and social cohesion. Logistic regression analyses were performed to determine the relationship between each factor (higher quintile = more unfavorable perceptions) and the odds of obesity., Results: Decreasing age, income, and education associated with unfavorable overall neighborhood perceptions and unfavorable perceptions about specific neighborhood factors (P trend <0.05 for all). Increasing BMI was associated with unfavorable perceptions about physical environment (P trend <0.05) but not violence or social cohesion. After adjustment for race, age, sex, income, education, and length of residence, physical environment perception score in the highest quintile remained associated with a 25% greater odds of obesity (OR 1.25, [95% CI 1.03-1.50]). Predictors of obesity related to environmental perceptions included heavy traffic (OR 1.39, [1.17-1.64]), trash/litter in neighborhood (OR 1.27, [1.01-1.46]), lack of recreational areas (OR 1.21, [1.01-1.46]), and lack of sidewalks (OR 1.25, [95% CI 1.04-1.51])., Conclusions: Thus, unfavorable perceptions of environmental physical conditions are related to increased obesity. Efforts to improve the physical characteristics of neighborhoods, or the perceptions of those characteristics, may assist in the prevention of obesity in this community., (Copyright © 2012 The Obesity Society.)

Abstract: Background: The metabolic syndrome is a constellation of risk factors including dyslipidemia, dysglycemia, hypertension, a pro‐inflammatory state, and a prothrombotic state. All of these factors are accentuated by obesity. However, obesity can be defined by body mass index (BMI), percent body fat, or by body fat distribution. The latter consists of upper body fat (subcutaneous and visceral fat) and lower body fat (gluteofemoral fat). Waist circumference is a common surrogate marker for upper body fat. Methods: Data from the National Health and Nutrition Examination Survey (NHANES) for the years 1999‐2006 was examined for associations of metabolic risk factors with percent body fat, waist circumference, and BMI. Results: Associations between absolute measures of waist circumference and risk factors were similiar for men and women. The similarities of associations between waist circumference and risk factors suggests that greater visceral fat in men does not accentuate the influence of upper body fat on risk factors. Conclusions: Different waist concumference values should not be used to define abdominal obesity in men and women. [ABSTRACT FROM AUTHOR]

Background: Previous studies that reported an association of dietary Na+ intake with metabolic syndrome were limited by the use of imprecise measures of obesity, Na+ intake, or exclusion of multiethnic populations. The effect of dietary K+ intake on obesity is less well described. Objective: We hypothesized that high dietary Na+ and low K+, based on the ratio of urinary Na+ to K+ (U[Na+]/[K+]) in a first-void morning urinary sample, is independently associated with total body fat. Design: In a prospective population-based cohort, 2782 participants in the community-dwelling, probability-sampled, multiethnic Dallas Heart Study were analyzed. The primary outcome established a priori was total-body percentage fat (TBPF) measured by dual-energy X-ray absorptiometry. The main predictor was U[Na+]/[K+]. Robust linear regression was used to explore an independent association between U[Na+]/[K+] and TBPF. The analyses were stratified by sex and race after their effect modifications were analyzed. Results: Of the cohort, 55.4% were female, 49.8% African American, 30.8% white, 17.2% Hispanic, and 2.2% other races. The mean (6SD) age was 44 6 10 y, BMI (in kg/m2) was 30 6 7, TBPF was 32 6 10%, and U[Na+]/[K+] was 4.2 6 2.6; 12% had diabetes. In the unadjusted and adjusted models, TBPF increased by 0.75 (95% CI: 0.25, 1.25) and 0.43 (0.15, 0.72), respectively (P = 0.003 for both), for every 3-unit increase in U[Na+]/[K+]. A statistically significant interaction was found between race and U[Na+] /[K+], so that the non-African American races had a higher TBPF than did the African Americans per unit increase in U[Na+]/[K+] (P-interaction, 0.0001 for both). No interaction was found between sex and U[Na+]/[K+]. Conclusions: The ratio of dietary Na+ to K+ intake may be independently associated with TBPF, and this association may be more pronounced in non-African Americans. Future studies should explore whether easily measured spot U[Na+]/[K+] can be used to monitor dietary patterns and guide strategies for obesity management. [ABSTRACT FROM AUTHOR]

Background Registered dietitian nutritionists are trained to identify optimal food choices for clients based on medical state and lifestyle. Orthorexia nervosa (ON) is a proposed disorder related to obsessions about eating healthfully. Eating disorders (EDs) are serious mental illnesses with symptoms related to eating, body image, and self-esteem. Both ON and EDs are more common among RDNs than the general population. Objective This study examined the prevalence of ON and EDs in RDNs in the United States and, among this sample, assessed whether the presence of ON symptoms related to symptoms of EDs, including weight, shape, eating, and restraint. Design A cross-sectional design compared responses for participants after dividing into three groups: those scoring at-risk for ON, those with a current or past ED, and a comparison group. Participants A sample of 2,500 RDNs were invited to complete surveys electronically; 636 responses were received. Main outcome measures Scores on the Orthorexia Nervosa Questionnaire (ORTO-15) and Eating Disorder Examination Questionnaire (EDE-Q) determined prevalence of ON and EDs. Differences in these measures, and body mass index were compared among the three groups. Statistical analyses Analysis of variance and χ 2 analyses were used to compare the groups. Results For the entire sample, scores on the ORTO-15 suggested 49.5% were at risk for ON, and scores on the EDE-Q suggested 12.9% were at risk for an ED, with 8.2% of RDNs self-disclosing treatment for an ED. Both the group disclosing ED treatment and the group at risk for ON had a lower mean body mass index, lower scores on the ORTO-15, and higher scores on the EDE-Q and all its subscales than the comparison group. Conclusions Clarifying the relationship between ON and EDs is warranted because ON symptoms appear to be associated not only with disturbances in eating, but also with elevated shape and weight concerns. [ABSTRACT FROM AUTHOR]

Objectives: The goal of this study was to investigate the association between natriuretic peptides and body fat distribution in a multiethnic cohort. Background: Natriuretic peptides stimulate lipolysis, reduce weight gain, and promote adipocyte browning in animal models, but data are lacking in humans. Methods: A total of 2,619 participants without heart failure in the Dallas Heart Study underwent measurements of 1) B-type natriuretic peptide (BNP) and N-terminal pro–B-type natriuretic peptide (NT-proBNP); and 2) body fat distribution by dual energy x-ray absorptiometry and magnetic resonance imaging. Cross-sectional associations of natriuretic peptides with adiposity phenotypes were examined after adjustment for age, sex, race, comorbidities, and body mass index. Results: Median BNP and NT-proBNP levels in the study cohort (mean age 44 years; 56% women, 48% African Americans, 32% obese) were 3.0 and 28.1 pg/ml, respectively. Natriuretic peptide levels above the median were associated with a more favorable body fat profile and less insulin resistance, including lower visceral fat, liver fat, and homeostasis model assessment of insulin resistance index, and increased lower body fat and higher adiponectin (p < 0.05 for each). In multivariable analyses, NT-proBNP remained inversely associated with visceral fat (beta coefficient = −0.08; p < 0.0001) and liver fat (beta coefficient = −0.14; p < 0.0001) and positively associated with lower body fat (beta coefficient = 0.07; p < 0.0001) independent of age, sex, race, and obesity status; findings were similar with BNP. Adjustment for body composition, homeostasis model assessment of insulin resistance index, circulating androgens, and adipocytokines did not attenuate the associations. Conclusions: Higher natriuretic peptide levels were independently associated with a favorable adiposity profile, characterized by decreased visceral and liver fat and increased lower body fat, suggesting a link between the heart and adipose tissue distribution mediated through natriuretic peptides. [Copyright &y& Elsevier]