Intramuscular fat and physical performance at the Framingham Heart Study.
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ABSTRACT:
SUBMITTER: Therkelsen KE
PROVIDER: S-EPMC5005897 | biostudies-other | 2016 Apr
REPOSITORIES: biostudies-other
Publications
Intramuscular fat and physical performance at the Framingham Heart Study.
Therkelsen Kate E KE Pedley Alison A Hoffmann Udo U Fox Caroline S CS Murabito Joanne M JM
Age (Dordrecht, Netherlands) 20160222 2
Intramuscular fat may mediate associations between obesity and physical disability. We examined the associations between muscle attenuation, a proxy for intramuscular fat, and physical function. Paraspinous muscle computed tomography attenuation was obtained on a Framingham Heart Study subgroup (n = 1152, 56 % women, mean age 66 years). Regressions modeled cross-sectional associations between muscle attenuation and mobility disability, grip strength, and walking speed with standard covariates; m ...[more]
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Project description:OBJECTIVE:Intramuscular fat accumulates between muscle fibers or within muscle cells. We investigated the association of intramuscular fat with other ectopic fat deposits and metabolic risk factors. APPROACH AND RESULTS:Participants (n=2945; 50.2% women; mean age 50.8 years) from the Framingham Heart Study underwent multidetector computed tomography scanning of the abdomen. Regions of interest were placed on the left and right paraspinous muscle, and the muscle attenuation (MA) in Hounsfield units was averaged. We examined the association between MA and metabolic risk factors in multivariable models, and additionally adjusted for body mass index (BMI) and visceral adipose tissue (VAT) in separate models. MA was associated with dysglycemia, dyslipidemia, and hypertension in both sexes. In women, per standard deviation decrease in MA, there was a 1.34 (95% confidence interval, 1.10-1.64) increase in the odds of diabetes mellitus, a 1.40 (95% confidence interval, 1.22-1.61) increase in the odds of high triglycerides, and a 1.29 (95% confidence interval, 1.12-1.48) increase in the odds of hypertension. However, none of these associations persisted after adjustment for BMI or VAT. In men, we observed similar patterns for most risk factors. The exception was metabolic syndrome, which retained association in women even after adjustment for BMI and VAT, and low high density lipoprotein and high triglycerides in men, whose associations also persisted after adjustment for BMI and VAT. CONCLUSIONS:MA was associated with metabolic risk factors, but most of these associations were lost after adjustment for BMI or VAT. However, a unique association remained for metabolic syndrome in women and lipids in men.
| S-EPMC3696991 | biostudies-literature
Project description:ObjectiveThe prevalence of abdominal obesity exceeds that of general obesity. We sought to determine the prevalence of abdominal subcutaneous and visceral obesity and to characterize the different patterns of fat distribution in a community-based sample.Research design and methodsParticipants from the Framingham Heart Study (n = 3,348, 48% women, mean age 52 years) underwent multidetector computed tomography; subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) volumes were assessed. Sex-specific high SAT and VAT definitions were based on 90th percentile cut points from a healthy referent sample. Metabolic risk factors were examined in subgroups with elevated SAT and VAT.ResultsThe prevalence of high SAT was 30% (women) and 31% (men) and that for high VAT was 44% (women) and 42% (men). Overall, 27.8% of the sample was discordant for high SAT and high VAT: 19.9% had SAT less than but VAT equal to or greater than the 90th percentile, and 7.9% had SAT greater than but VAT less than the 90th percentile. The prevalence of metabolic syndrome was higher among women and men with SAT less than the 90th percentile and high VAT than in those with high SAT but VAT less than the 90th percentile, despite lower BMI and waist circumference. Findings were similar for hypertension, elevated triglycerides, and low HDL cholesterol.ConclusionsNearly one-third of our sample has abdominal subcutaneous obesity, and >40% have visceral obesity. Clinical measures of BMI and waist circumference may misclassify individuals in terms of VAT and metabolic risk.
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Project description:BACKGROUND:Individuals with a high risk of stroke are also more prone to cognitive impairment perhaps because of concomitant vascular risk factors. In addition, clinical stroke increases the risk of subsequent dementia. Nevertheless, the relationship between clinical stroke and subsequent cognitive function in initially nondemented individuals remains less clear as most prior studies examined case series without controls. AIMS:To specify among nondemented individuals the cognitive domains affected by clinical stroke, independently of vascular risk factors and prestroke cognition. METHODS:One hundred thirty-two Framingham study participants (mean age?=?77?±?9 years, 54% women) with prospectively validated initial strokes, as well as age- and gender-matched controls, underwent identical cognitive evaluations ?six-months after the stroke. Linear regression models were used to assess the differences in cognitive scores between stroke cases and controls adjusting for prestroke cognitive function as assessed by Mini-Mental State Examination scores, and with and without adjustment for vascular risk factors. RESULTS:Adjusting for prestroke cognition and vascular risk factors, persons with stroke had poorer cognitive function in the domains of immediate recall of logical and visual memories (??=?-1·27?±?0·60, P?=?0·035; ??=?-1·03?±?0·47, P?=?0·028, respectively), verbal learning (paired associate test; ??=?-1·31?±?0·57, P?=?0·023), language (Boston naming test; ??=?-0·27?±?0·08, P?=?0·002), executive function (digit span backward; ??=?-0·53?±?0·21, P?=?0·015), and visuospatial and motor skills (block design; ??=?-3·02?±?1·06, P?=?0·005). CONCLUSIONS:Clinical stroke is associated with subsequent poorer performance in multiple cognitive domains. This association cannot be entirely explained by the individual's cognitive function prior to stroke or by concomitant vascular risk factor levels.
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| S-EPMC3014610 | biostudies-literature
Project description:Obesity is associated with increased risk of developing atrial fibrillation (AF). Different fat depots may have differential associations with cardiac pathology. We examined the longitudinal associations between pericardial, intrathoracic, and visceral fat with incident AF. We studied Framingham Heart Study Offspring and Third-Generation Cohorts who participated in the multidetector computed tomography substudy examination 1. We constructed multivariable-adjusted Cox proportional hazard models for risk of incident AF. Body mass index was included in the multivariable-adjusted model as a secondary adjustment. We included 2,135 participants (53.3% women; mean age 58.8 years). During a median follow-up of 9.7 years, we identified 162 cases of incident AF. Across the increasing tertiles of pericardial fat volume, age- and gender-adjusted incident AF rate per 1,000 person-years of follow-up were 8.4, 7.5, and 10.2. Based on an age- and gender-adjusted model, greater pericardial fat (hazard ratio [HR] 1.17, 95% confidence interval [CI] 1.03 to 1.34) and intrathoracic fat (HR 1.24, 95% CI 1.06 to 1.45) were associated with an increased risk of incident AF. The HRs (95% CI) for incident AF were 1.13 (0.99 to 1.30) for pericardial fat, 1.19 (1.01 to 1.40) for intrathoracic fat, and 1.09 (0.93 to 1.28) for abdominal visceral fat after multivariable adjustment. After additional adjustment of body mass index, none of the associations remained significant (all p >0.05). Our findings suggest that cardiac ectopic fat depots may share common risk factors with AF, which may have led to a lack of independence in the association between pericardial fat with incident AF.
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Project description:NHLBI TOPMed: The Framingham Heart Study
| PRJNA292476 | ENA
Project description:BACKGROUND:We examined the associations among 8 different fat depots accumulated in various anatomic regions and the relationship between these fat depots and multiple cardiometabolic risk factors. METHODS:Participants were from the Framingham Heart Study Offspring and Third Generation who also participated in the multidetector computed tomography substudy in 2002-2005. Exposures were multidetector computed tomography-derived fat depots, including abdominal subcutaneous adipose tissue, abdominal visceral adipose tissue, intramuscular fat, intrathoracic fat, pericardial fat, thoracic periaortic fat, intrahepatic fat, and renal sinus fat. Multivariable-adjusted regression analyses with a forward selection procedure were performed to identify the most predictive fat depots. RESULTS:Of 2529 participants, 51.9% were women (mean age, 51.1 years). Visceral adipose tissue had the strongest correlations with each of the other fat measures (range, 0.26-0.77) and with various cardiometabolic risk factors (range, -0.34 to 0.39). As determined by the selection models, visceral adipose tissue was the only fat depot that was associated with all cardiometabolic risk factors evaluated in this study (all P<.05). Selection models also showed that subcutaneous adipose tissue and intrahepatic fat were associated with cardiometabolic risk factors related to the traits of dysglycemia, dyslipidemia, and hypertension (all P<.05). However, only associations with visceral adipose tissue and intrahepatic fat persisted after further adjustment for body mass index and waist circumference. CONCLUSIONS:Visceral adipose tissue and intrahepatic fat were consistent correlates of cardiometabolic risk factors, above and beyond standard anthropometric indices. Our data provide important insights for understanding the associations between variations in fat distribution and cardiometabolic abnormalities.
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Project description:BackgroundAtrial fibrillation (AF)-related symptoms and physical performance are relied upon to guide therapeutic management of patients with AF. We sought to understand whether AF predisposes to or is a result of physical disability and poor subjective health in the community.MethodsWe studied relations between physical disability (Rosow-Breslau Functional Health Scale), subjective health (self-report) and incident AF, and the converse, in the Framingham Heart Study.ResultsIn 3,609 participants (age 73 ± 8 years, 59% women), a subset of 861 participants (24%) had prevalent physical disability at baseline. During 5.8 ± 1.8 years of follow-up, 555 participants (10-year age- and sex-adjusted incidence rate 13%) developed incident AF. Prevalent physical disability was related to incident AF (multivariable-adjusted hazard ratio 1.25, 95% CI 1.02-1.54, P = .03). In 3,525 participants, prevalent poor subjective health (n = 333) also was related to incident AF (n = 552, multivariable-adjusted hazard ratio 1.31, 95% CI 1.00-1.70, P = .048). Conversely, in 2,080 participants (age 69 ± 6 years, 55% women), interim AF (n = 106) was associated with newly reported physical disability (n = 573) at a follow-up examination (multivariable-adjusted odds ratio 1.58, 95% CI 1.08-2.31, P = .01). In 1,954 participants, interim AF (n = 96) likewise was related to newly reported poor subjective health (n = 224, multivariable-adjusted odds ratio 1.83, 95% CI 1.10-3.02, P = .02).ConclusionsPhysical disability and poor subjective health were related to incident AF in a community-based cohort. Conversely, interim AF was related to newly reported physical disability and poor subjective health. Because AF guidelines incorporate symptoms, it is essential to clarify the temporality and mechanisms linking physical disability, subjective health, and AF.
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Project description:We aimed to determine if gluteus maximus (GMAX) fat infiltration is associated with different levels of physical activity. Identifying and quantifying differences in the intramuscular fat content of GMAX in subjects with different levels of physical activity can provide a new tool to evaluate hip muscles health. This was a cross-sectional study involving seventy subjects that underwent Dixon MRI of the pelvis. The individuals were divided into four groups by levels of physical activity, from low to high: inactive patients due to hip pain; and low, medium and high physical activity groups of healthy subjects (HS) based on hours of exercise per week. We estimated the GMAX intramuscular fat content for each subject using automated measurements of fat fraction (FF) from Dixon images. The GMAX volume and lean volume were also measured and normalized by lean body mass. The effects of body mass index (BMI) and age were included in the statistical analysis. The patient group had a significantly higher FF than the three groups of HS (median values of 26.2%, 17.8%, 16.7% and 13.7% respectively, p < 0.001). The normalized lean volume was significantly larger in the high activity group compared to all the other groups (p < 0.001, p = 0.002 and p = 0.02). Employing a hierarchical linear regression analysis, we found that hip pain, low physical activity, female gender and high BMI were statistically significant predictors of increased GMAX fat infiltration.
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Project description:UNLABELLED:Obesity is not uniformly associated with the development of metabolic sequelae. Specific patterns of body fat distribution, in particular fatty liver, may preferentially predispose at-risk individuals to disease. In this study, we characterize the metabolic correlates of fat in the liver in a large community-based sample with and without respect to visceral fat. Fatty liver was measured by way of multidetector computed tomography of the abdomen in 2,589 individuals from the community-based Framingham Heart Study. Logistic and linear regression were used to determine the associations of fatty liver with cardio-metabolic risk factors adjusted for covariates with and without adjustment for other fat depots (body mass index, waist circumference, and visceral adipose tissue). The prevalence of fatty liver was 17%. Compared with participants without fatty liver, individuals with fatty liver had a higher adjusted odds ratio (OR) of diabetes (OR 2.98, 95% confidence interval [CI] 2.12-4.21), metabolic syndrome (OR 5.22, 95% CI 4.15-6.57), hypertension (OR 2.73, 95% CI 2.16-3.44), impaired fasting glucose (OR 2.95, 95% CI 2.32-3.75), insulin resistance (OR 6.16, 95% CI 4.90-7.76); higher triglycerides, systolic blood pressure (SBP), and diastolic blood pressure (DBP); and lower high-density lipoprotein (HDL) and adiponectin levels (P < 0.001 for all). After adjustment for other fat depots, fatty liver remained associated with diabetes, hypertension, impaired fasting glucose, metabolic syndrome, HDL, triglycerides, and adiponectin levels (all P < 0.001), whereas associations with SBP and DBP were attenuated (P > 0.05). CONCLUSION:Fatty liver is a prevalent condition and is characterized by dysglycemia and dyslipidemia independent of visceral adipose tissue and other obesity measures. This work begins to dissect the specific links between fat depots and metabolic disease.
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