pinecone/core-2020-05-10-deduplication huggingface dataset:
Association between adiponectin and heart failure risk in the Physicians' Health Study

Limited data are available on the association between adiponectin and incident heart failure. In the current ancillary study to the Physicians' Health Study, we used a prospective nested-case control design to examine whether plasma adiponectin concentration was related to the risk of heart failure. We selected 787 incident heart failure cases and 787 matched controls for the current analysis. Each control was selected using a risk set sampling technique at the time of the occurrence of the index case and matched on year of birth, age at blood collection, and race. Adiponectin was measured using ELISA. Heart failure occurrence was self-reported in annual follow-up questionnaire. Validation of self-reported heart failure in this cohort has been published. The mean age was 58.7 years. In a conditional logistic regression adjusting for age, race, time of blood collection, year of birth, hypertension, atrial fibrillation, smoking, alcohol intake, and exercise, estimates of the relative risk (95% confidence interval) were 1.0 (ref), 0.74 (0.53–1.04), 0.67 (0.48–0.94), 0.70 (0.50–0.99), and 0.92 (0.65–1.30) from the lowest to the highest quintile of adiponectin, respectively, p for quadratic trend 0.004. Additional adjustment for potential mediating factors including diabetes, C-reactive protein, and body mass index led to the attenuation of the estimate of effect [1.0 (ref), 0.81 (0.57–1.15), 0.75 (0.53–1.06), 0.83 (0.58–1.18), and 1.26 (0.87–1.81) across consecutive quintiles of adiponectin]. Our data are consistent with a J-shaped association between total adiponectin and the risk of heart failure among US male physicians
Dietary Patterns, Abdominal Visceral Adipose Tissue and Cardiometabolic Risk Factors in African Americans: the Jackson Heart Study

Dietary behavior is an important lifestyle factor to impact an individual’s risk of developing cardiovascular disease (CVD). However, the influence of specific dietary factors on CVD risk for African Americans remains unclear. We conducted a cross-sectional study of 1775 participants from Jackson Heart Study (JHS) Exam 2 (between 2006 and 2009) who were free of hypertension, diabetes and CVD at the baseline (between 2001 and 2004). Dietary intakes were documented using a validated food-frequency questionnaire (FFQ) and dietary patterns were generated by factor analysis. Three major dietary patterns were identified: a “southern”, a “fast food” and a “prudent” pattern. After adjustment for age, sex, smoking and alcohol status, education level and physical activity, high “southern” pattern score was associated with an increased odds ratio (OR) for high abdominal visceral adipose tissue (VAT) (OR:1.80, 95%CI:1.1–3.0, p=0.02), hypertension (OR:1.42, 95%CI:1.1–1.9, p=0.02), diabetes (OR:2.03, 95%CI:1.1–3.9, p=0.03) and metabolic syndrome (OR:2.16, 95%CI:1.3–3.6, p=0.004). Similar associations were also observed in the “fast food” pattern (p ranges 0.03–0.0001). The “prudent” pattern was significantly associated, in a protective direction, with hypertension (OR 0.69, 95%CI 0.5–0.9, p=0.02). In conclusion, dietary patterns, especially the “southern” pattern, identified from a regional specific FFQ in this Deep South African Americans, are correlated with abdominal VAT and cardiometabolic risk factors
Genetic risk factors for body mass index and obesity in an ethnically diverse population: results from the Population Architecture using Genomics and Epidemiology (PAGE) Study

Several genome-wide association studies (GWAS) have demonstrated that common genetic variants contribute to obesity. However, studies of this complex trait have focused on ancestrally European populations, despite the high prevalence of obesity in some minority groups. As part of the ‘Population Architecture using Genomics and Epidemiology (PAGE)’ Consortium, we investigated the association between thirteen GWAS-identified SNPs and BMI and obesity in 69,775 subjects, including 6,149 American Indians, 15,415 African-Americans, 2,438 East Asians, 7,346 Hispanics, 604 Pacific Islanders, and 37,823 European Americans. For the BMI-increasing allele of each SNP, we calculated beta coefficients using linear regression (for BMI) and risk estimates using logistic regression (for obesity defined as BMI ≥ 30) followed by fixed-effects meta-analysis to combine results across PAGE sites. Analyses stratified by racial/ethnic group assumed an additive genetic model and adjusted for age, sex, and current smoking. We defined “replicating SNPs” (in European Americans) and “generalizing SNPs” (in other racial/ethnic groups) as those associated with an allele frequency-specific increase in BMI. By this definition, we replicated 9/13 SNP associations (5 out of 8 loci) in European Americans. We also generalized 8/13 SNP associations (5/8 loci) in East Asians, 7/13 (5/8 loci) in African Americans, 6/13 (4/8 loci) in Hispanics, 5/8 in Pacific Islanders (5/8 loci), and 5/9 (4/8 loci) in American Indians. Linkage disequilibrium patterns suggest that tagSNPs selected for European Americans may not adequately tag causal variants in other ancestry groups. Accordingly, fine-mapping in large samples is needed to comprehensively explore these loci in diverse populations
Body fat responses to a 1-year combined exercise training program in male coronary artery disease patients

Objective: To analyze the body fat (BF) content and distribution modifications in coronary artery disease
(CAD) patients in response to a 1-year combined aerobic and resistance exercise training (CET) program.
Design and Methods: We followed two groups of CAD male patients for 12 months. One group
consisted of 17 subjects (57 6 12 years) who engaged in a CET program (CET group) and the other was
a age-matched control group of 10 subjects (58 6 11 years). BF content and distribution were measured
through dual energy X-ray absorptiometry (DXA) at baseline and follow-up.
Results: We found no differences on body mass and BMI between baseline and end of follow-up in both
groups but, in CET group, we found significant reductions in all analyzed BF depots, including total BF
(21.60 6 6.00 vs. 20.32 6 5.89 kg, P < 0.01), % total BF (27.8 6 5.5 vs. 26.4 6 5.4%, P < 0.05), trunk
fat (12.54 6 3.99 vs. 11.77 6 4.01 kg, P < 0.05), % trunk fat (31.1 6 6.9 and 29.2 6 7.1%, P < 0.05),
appendicular fat (8.22 6 2.08 vs. 7.72 6 2.037 kg, P < 0.01), % appendicular fat (25.7 6 4.9 and 24.5 6
4.9%, P < 0.05), and abdominal fat (2.95 6 1.06 vs. 2.75 6 1.10 kg, P < 0.05). Control group showed
significant increase in appendicular fat (7.63 6 1.92 vs. 8.10 6 2.12 kg, P < 0.05).
Conclusions: These results confirm the positive effect of CET on body composition of CAD patients,
despite no changes in body mass or BMI. In this study, we observed no alterations on BF distribution
meaning similar rate of fat loss in all analyzed BF depots. These results also alert for the limitations of
BMI for tracking body composition changes.info:eu-repo/semantics/publishedVersio
Differential associations of leptin with adiposity across early childhood

Objective: We examined associations of perinatal and 3-year leptin with weight gain and adiposity through 7 years. Design and Methods In Project Viva, we assessed plasma leptin from mothers at 26–28 weeks’ gestation (n=893), umbilical cord vein at delivery (n=540), and children at 3 years (n=510) in relation to body mass index (BMI) z-score, waist circumference, skinfold thicknesses, and dual X-ray absorptiometry body fat. Results: 50.1% of children were male and 29.5% non-white. Mean(SD) maternal, cord, and age 3 leptin concentrations were 22.9(14.2), 8.8(6.4), and 1.8(1.7) ng/mL, respectively, and 3- and 7-year BMI z-scores were 0.46(1.00) and 0.35(0.97), respectively. After adjusting for parental and child characteristics, higher maternal and cord leptin was associated with less 3- year adiposity. For example, mean 3-year BMI z-score was 0.5 lower (95%CI:−0.7,−0.2; p-trend=0.003) among children whose mothers’ leptin concentrations were in the top vs. bottom quintile. In contrast, higher age 3 leptin was associated with greater weight gain and adiposity through age 7 [e.g., change in BMI z-score from 3 to 7 years was 0.2 units (95%CI:−0.0,0.4; p-trend=0.05)]. Conclusions: Higher perinatal leptin was associated with lower 3-year adiposity, whereas higher age 3 leptin was associated with greater weight gain and adiposity by 7 years
The Internal Circadian Clock Increases Hunger and Appetite in the Evening Independent of Food Intake and Other Behaviors

Objective: Despite the extended overnight fast, paradoxically, people are typically not ravenous in the morning and breakfast is typically the smallest meal of the day. Here we assessed whether this paradox could be explained by an endogenous circadian influence on appetite with a morning trough, while controlling for sleep/wake and fasting/feeding effects. Design and Methods We studied 12 healthy non-obese adults (6 male; age, 20–42 year) throughout a 13-day laboratory protocol that balanced all behaviors, including eucaloric meals and sleep periods, evenly across the endogenous circadian cycle. Participants rated their appetite and food preferences by visual analog scales. Results: There was a large endogenous circadian rhythm in hunger, with the trough in the biological morning (8 AM) and peak in the biological evening (8 PM; peak-to-trough amplitude=17%; P=0.004). Similarly phased significant endogenous circadian rhythms were present in appetite for sweets, salty and starchy foods, fruits, meats/poultry, food overall, and for estimates of how much food participants could eat (amplitudes 14–25%; all P < 0.05). Conclusions: In people who sleep at night, the intrinsic circadian evening peak in appetite may promote larger meals before the fasting period necessitated by sleep. Furthermore, the circadian decline in hunger across the night would theoretically counteract the fasting-induced hunger increase that could otherwise disrupt sleep
Discordant Risk: Overweight and cardiometabolic risk in Chinese adults

Recent US work identifies “metabolically healthy overweight” and “metabolically at risk normal weight” individuals. Less is known for modernizing countries with recent increased obesity. Fasting blood samples, anthropometry and blood pressure from 8,233 adults aged 18–98 in the 2009 nationwide China Health and Nutrition Survey, were used to determine prevalence of overweight (Asian cut point, BMI≥23 kg/m2) and five risk factors [pre-diabetes/diabetes (HbA1c≥5.7%) inflammation (hsCRP ≥3 mg/L), pre-hypertension/hypertension (SBP/DBP≥130/85 mmHg), high triglycerides (≥150 mg/dL), low high-density lipoprotein cholesterol (<40 (men)/<50 mg/dL (women)]. Sex-stratified, logistic and multinomial logistic regression models estimated concurrent obesity and cardiometabolic risk, with and without abdominal obesity, adjusting for age, smoking, alcohol consumption, physical activity, urbanicity, and income. Irrespective of urbanicity, 78.3% of the sample had ≥1 elevated cardiometabolic risk factor (normal weight: 33.2% had ≥1 elevated risk factor; overweight: 5.7% had none). At age 18–30, 47.4% had no elevated risk factors, which dropped to 6% by age 70, largely due to age-related increase in hypertension risk (18–30 years: 11%, >70 years: 73%). Abdominal obesity was highly predictive of metabolic risk, irrespective of overweight (e.g., “metabolically at risk overweight” relative to “metabolically healthy normal weight” [men: Relative Risk Ratio (RRR) =39.06; 95% Confidence Interval (CI): 23.47, 65.00; women: RRR=22.26; 95% CI: 17.49, 28.33]). To conclude, a large proportion of Chinese adults have metabolic abnormalities. High hypertension risk with age, irrespective of obesity underlies the low prevalence of metabolically healthy overweight. Screening for cardiometabolic-related outcomes dependent upon overweight will likely miss a large portion of the Chinese at-risk population
Assessment of abdominal fat compartments using DXA in premenopausal women from anorexia nervosa to morbid obesity

Objective: The purpose of this study was to test a newly developed DXA method for abdominal fat depot quantification in subjects with AN, normal weight, and obesity using CT as a gold standard. Design and Methods 135 premenopausal women (overweight/obese: n=89, normal-weight: n=27, AN: n=19); abdominal visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT), and total adipose tissue (TAT) areas determined on CT and DXA. Results: There were strong correlations between DXA and CT measurements of abdominal fat compartments in all groups with the strongest correlation coefficients in the normal-weight and overweight/obese groups. Correlations of DXA and CT VAT measurements were strongest in the obese group and weakest in the AN group. DXA abdominal fat depots were higher in all groups compared to CT, with the largest % mean difference in the AN group and smallest in the obese group. Conclusions: A new DXA technique is able to assess abdominal fat compartments including VAT in premenopausal women across a large weight spectrum However, DXA measurements of abdominal fat were higher than CT, and this percent bias was most pronounced in the AN subjects and decreased with increasing weight, suggesting that this technique may be more useful in obese individuals
Accuracy of SenseWear Pro2 armband to predict resting energy expenditure in childhood obesity.

OBJECTIVE: We evaluate the accuracy of the SenseWear Pro2 Armband (SWA) in estimating resting energy expenditure (REE) in children and adolescents with obesity, using indirect calorimetry (IC) as a reference.\ud
DESIGN AND METHODS: REE was assessed using both the SWA and IC in 40 obese subjects (26 M/14 F, age 11.5±2.57 years, z-score BMI 3.14±0.53). The agreement between methods was assessed by the Bland-Altman procedure. The relationship between REE assessments and patients' characteristics was also analyzed.\ud
RESULTS: SWA- and IC-derived estimates of REE showed a significant correlation (r=0.614; P<0.001), but the SWA overestimated mean REE by 13% (P<0.001). Age and kg of fat-free mass (kgFFM) were significantly correlated with both REE estimation by SWA (r=0.434 and r=0.564; respectively) and IC (r=0.401 and r=0.518; respectively). Only kgFFM was demonstrated to be the main predictor factor of REE variability (r2 79% SWA; 75% IC).\ud
CONCLUSIONS: The SWA overestimated mean REE in childhood obesity, suggesting that the SWA and IC are not yet interchangeable methods. This would require improving the SWA by developing better algorithms for predicting REE and, probably, bias in each individual REE could be reduced by an adjustment for subjects' kgFFM
Variation at the Melanocortin 4 Receptor gene and response to weight-loss interventions in the Diabetes Prevention Program

Objective: To assess associations and genotype × treatment interactions for melanocortin 4 receptor (MC4R) locus variants and obesity-related traits. Design and Methods Diabetes Prevention Program (DPP) participants (N=3,819, of whom 3,356 were genotyped for baseline and 3,234 for longitudinal analyses) were randomized into intensive lifestyle modification (diet, exercise, weight loss), metformin or placebo control. Adiposity was assessed in a subgroup (n=909) using computed tomography. All analyses were adjusted for age, sex, ethnicity and treatment. Results: The rs1943218 minor allele was nominally associated with short-term (6 month; P=0.032) and long-term (2 year; P=0.038) weight change. Eight SNPs modified response to treatment on short-term (rs17066856, rs9966412, rs17066859, rs8091237, rs17066866, rs7240064) or long-term (rs12970134, rs17066866) reduction in body weight, or diabetes incidence (rs17066829) (all Pinteraction <0.05). Conclusion: This is the first study to comprehensively assess the role of MC4R variants and weight regulation in a weight loss intervention trial. One MC4R variant was directly associated with obesity-related traits or diabetes; numerous other variants appear to influence body weight and diabetes risk by modifying the protective effects of the DPP interventions
Body-Mass Index and Mortality Risk in US Blacks Compared to Whites

Objective: To compare body-mass index (BMI)-related mortality risk in US Blacks vs. Whites as the relationship appears to differ across race/ethnicity groups. Design and Methods We pooled cross-sectional surveys of nationally representative samples of 11,934 Blacks and 59,741 Whites aged 35–75 in the National Health Interview Survey from 1997–2002 with no history of cardiovascular disease or cancer. Mortality follow-up was available through 2006. BMI was calculated from self-reported height and weight. We used adjusted Cox regression analysis to adjust for potential confounders. Results: Over 9 years of follow-up, there were 4,303 deaths (1,205 among never smokers). Age-adjusted mortality rates were higher in Blacks compared to Whites at BMI < 25 kg/m2 and showed no increase at higher levels of BMI. In men, adjusted hazard ratios for all-cause death rose in a similar fashion across upper BMI quintiles in Blacks and Whites; in women, however, BMI was positively associated with mortality risk in Whites, but inversely associated in Blacks (p interaction = 0.01). Racial disparities were amplified in subsidiary analyses that introduced a 12-month lag for mortality or focused on CVD mortality. Conclusions: The relationship of elevated BMI to mortality appears weaker in US Blacks than in Whites, especially among women
Mucosal biomarkers of colorectal cancer risk do not increase at 6 months following sleeve gastrectomy, unlike gastric bypass

YesObjective

The hypothesis that sleeve gastrectomy (SG) is not associated with an increase in mucosal colorectal cancer (CRC) biomarkers, unlike Roux-en-Y gastric bypass (RYGB), was tested.
Design and Methods

Rectal mucosa, blood, and urine were obtained from morbidly obese patients (n = 23) before and after (median 28 months) SG, as well as from nonobese controls (n = 20). Rectal epithelial cell mitosis and apoptosis, crypt size/fission, and pro-inflammatory gene expression were measured, as well as systemic inflammatory biomarkers, including C-reactive protein (CRP).
Results

The mean pre-operative body mass index in SG patients was 65.7 kg/m2 (24.7 kg/m2 in controls). Mean excess weight loss post-SG was 38.2%. There was a significant increase in mitosis frequency, crypt size, and crypt fission (all P < 0.01) in SG patients versus controls, as well as evidence of a chronic inflammatory state (raised CRP and mononuclear cell p65 NFκB binding), but there was no significant change in these biomarkers after SG, except CRP reduction. Macrophage migration inhibitory factor mRNA levels were increased by 39% post-SG (P = 0.038).
Conclusions

Mucosal biomarkers of CRC risk do not increase at 6 months following SG, unlike RYGB. Biomarkers of rectal crypt proliferation and systemic inflammation are increased in morbidly obese patients compared with controls.Gol
Independent and Combined Effects of Dietary Weight Loss and Exercise on Leukocyte Telomere Length in Postmenopausal Women

Objective: Investigate the effects of 12 months of dietary weight loss and/or aerobic exercise on leukocyte telomere length in postmenopausal women. Design and Methods 439 overweight or obese women (50–75 y) were randomized to: i) dietary weight loss (N=118); ii) aerobic exercise (N=117), iii) diet + exercise (N=117), or iv) control (N=87). The diet intervention was a group-based program with a 10% weight loss goal. The exercise intervention was 45 mins/day, 5 days/week of moderate-to-vigorous aerobic activity. Fasting blood samples were taken at baseline and 12 months. DNA was extracted from isolated leukocytes and telomere length was measured by quantitative-polymerase chain reaction (qPCR). Mean changes were compared between groups (intent-to-treat) using generalized estimating equations. Results: Baseline telomere length was inversely associated with age (r=−0.12 p<0.01) and positively associated with maximal oxygen uptake (r=0.11, p=0.03), but not with BMI or %body fat. Change in telomere length was inversely correlated with baseline telomere length (r=−0.47, p<0.0001). No significant difference in leukocyte telomere length was detected in any intervention group compared to controls, nor was the magnitude of weight loss associated with telomere length at 12 months. Conclusions: Twelve-months of dietary weight loss and exercise did not change telomere length in postmenopausal women
Physical Activity and Gestational Weight Gain in Hispanic Women

Objective: Hispanic women have high rates of excessive and inadequate gestational weight gain (GWG) according to Institute of Medicine (IOM) guidelines. Observational studies suggest that physical activity may be associated with GWG but have been conflicting and were largely conducted in non-Hispanic white populations. Design and Methods We prospectively evaluated the association between physical activity and compliance with GWG guidelines, total GWG, and rate of GWG among 1,276 Hispanic participants in Proyecto Buena Salud, a cohort study in Western Massachusetts. The Pregnancy Physical Activity Questionnaire was used to assess pre, early, mid, and late pregnancy physical activity according to both intensity (i.e., sedentary, moderate, and vigorous) and type (i.e., housework/caregiving, occupational, and sports/exercise). Results: A total of 26.9% of women gained within IOM guidelines, 21.2% had inadequate GWG, and 51.9% experienced excessive GWG. Overall, we did not observe statistically significant associations between type or intensity of physical activity during pre, early, mid, and late pregnancy and inadequate or excessive GWG, total GWG, or rate of GWG. Conclusions: In this prospective cohort study of Hispanic women, after controlling for important risk factors, pregnancy physical activity did not appear to be associated with GWG
Trends in the Association of Parental History of Obesity over 60 Years

Objective: The association of familial as compared to genetic factors in the current obesogenic environment, compared to earlier, leaner time periods, is uncertain. Design and Methods Participants from the Framingham Heart Study were classified according to parental obesity status in the Original, Offspring, and Third Generation cohorts; mean BMI levels were estimated and we compared the association of parental history across generations. Finally, a genetic risk score comprised of 32 well-replicated single nucleotide polymorphisms for BMI was examined in association with BMI levels in 1948, 1971, and 2002. Results: BMI was 1.49 kg/m2 higher per each affected parent among the Offspring, and increased to 2.09 kg/m2 higher among the Third Generation participants (p-value for the cohort comparison=0.007). Parental history of obesity was associated with increased weight gain (p<0.0001) and incident obesity (p=0.009). Despite a stronger association of parental obesity with offspring BMI in more contemporary time periods, we observed no change in the effect size of a BMI genetic risk score from 1948 to 2002 (p=0.11 for test of trend across the time periods). Conclusions: The association of parental obesity has become stronger in more contemporary time period, whereas the association of a BMI genetic risk score has not changed