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652 results for “Body Composition”

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dryad32/100

Data from: An unfavorable body composition is common in early arthritis patients: a case control study

Background. An unfavorable body composition is often present in chronic arthritis patients. This unfavorable composition is a loss of muscle mass, with a stable or increased (abdominal) fat mass. Since it is unknown when this unfavorable composition develops, we compared body composition in disease-modifying antirheumatic drugs (DMARD)-naive early arthritis patients with non-arthritis controls and explored the association, in early arthritis patients, with disease activity and traditional cardiovascular risk factors. Methods. 317 consecutive early arthritis patients (84% rheumatoid arthritis according to 2010 ACR/EULAR criteria) and 1268 age-/gender-/ethnicity-matched non-arthritis controls underwent a Dual-energy X-ray absorptiometry scan to assess fat percentage, fat mass index, fat mass distribution and appendicular lean (muscle) mass index. Additionally, disease activity, health assessment questionnaire (HAQ), acute phase proteins, lipid profile and blood pressure were evaluated. Results. Loss of muscle mass (corrected for age suspected muscle mass) was 4-5 times more common in early arthritis patients, with a significantly lower mean appendicular lean mass index (females 6% and males 7% lower, p<0.01). Patients had more fat distributed to the trunk (females p<0.01, males p=0.07) and females had a 4% higher mean fat mass index (p<0.01). An unfavorable body composition was associated with a higher blood pressure and an atherogenic lipid profile. There was no relationship with disease activity, HAQ or acute phase proteins. Conclusion. Loss of muscle mass is 4-5 times more common in early arthritis patients, and is in early arthritis patients associated with a higher blood pressure and an atherogenic lipid profile. Therefore, cardiovascular risk is already increased at the clinical onset of arthritis making cardiovascular risk management necessary in early arthritis patients.

opencc-zeroDec 2017View details →
zenodo32/100

Database used to analyse body composition and physical fitness in children

<p>Descriptive characteristics for the entire sample and by age group, as well as differences between the<br>two age groups</p>

opencc-by-4.0Apr 2024View details →
zenodo32/100

Deccan region, Madras, India. Genus Vandeleuria is masculine, so widely used specific name oleracea has been changed for gender agreement. Vandeleuria oleraceusis possibly a composite of species. Polytypic, but subspecific taxonomy requires reassessment. Distribution. Widespread in S Asia (India, Nepal, Bhutan, Bangladesh, and Sri Lan-ka), S China (W & S Yunnan), and mainland SE Asia N of the Isthmus of Kra. Descriptive notes. Head-body 68 mm, tail 105 mm, ear 13 mm, hindfoot 17 mm; weight 10 g. The Indomalayan Long-tailed Climbing Mouse is small, with flat nail on outer finger and outertoe; tail is slender, brown, twice as long as head-body length, and lacks distal tuft. Dorsal pelageis silky and salmon in color; venter is white, with fulvous hues. Habitat. Tall cane and tangled vines in primary and secondary forest such as bamboo forest, moist deciduous forest, temperate forests, montane wet zone, and disturbed secondary forests, and perhaps agricultural areas at elevations of 150-1500 m. Food and Feeding. Indomalayan [Long-tailed Climbing Mice eat fruits, buds, and flowers. Breeding. Litters of the Indomalayan Long-tailed Climbing Mouse have 3-6 young. Activity patterns. Indomalayan Long-tailed Climbing Mice are arboreal and nocturnal, although one individual was caught duringthe day. Movements, Home range and Social organization. Indomalayan Long-tailed Climbing Mice build nests in tall bushes or cane to rear their young. Status and Conservation. Classified as Least Concern on The IUCN Red Last (as V. olacea). The Indomalayan Long-tailed Climbing Mouse occurs in several habitats and a wide distribution that includes national parks. Further taxonomical studies are required to assess conservation status ofthis potentially diverse species complex. Bibliography. Corbet & Hill (1992), Dang Huy Huynh et al. (1994), Ellerman (1941), Marshall (1977b), Musser & Carleton (2005), Osgood (1932), Phillips (1980), Wang Yingxiang (2003). in Muridae

Deccan region, Madras, India. Genus Vandeleuria is masculine, so widely used specific name oleracea has been changed for gender agreement. Vandeleuria oleraceusis possibly a composite of species. Polytypic, but subspecific taxonomy requires reassessment. Distribution. Widespread in S Asia (India, Nepal, Bhutan, Bangladesh, and Sri Lan-ka), S China (W &amp; S Yunnan), and mainland SE Asia N of the Isthmus of Kra. Descriptive notes. Head-body 68 mm, tail 105 mm, ear 13 mm, hindfoot 17 mm; weight 10 g. The Indomalayan Long-tailed Climbing Mouse is small, with flat nail on outer finger and outertoe; tail is slender, brown, twice as long as head-body length, and lacks distal tuft. Dorsal pelageis silky and salmon in color; venter is white, with fulvous hues. Habitat. Tall cane and tangled vines in primary and secondary forest such as bamboo forest, moist deciduous forest, temperate forests, montane wet zone, and disturbed secondary forests, and perhaps agricultural areas at elevations of 150-1500 m. Food and Feeding. Indomalayan [Long-tailed Climbing Mice eat fruits, buds, and flowers. Breeding. Litters of the Indomalayan Long-tailed Climbing Mouse have 3-6 young. Activity patterns. Indomalayan Long-tailed Climbing Mice are arboreal and nocturnal, although one individual was caught duringthe day. Movements, Home range and Social organization. Indomalayan Long-tailed Climbing Mice build nests in tall bushes or cane to rear their young. Status and Conservation. Classified as Least Concern on The IUCN Red Last (as V. olacea). The Indomalayan Long-tailed Climbing Mouse occurs in several habitats and a wide distribution that includes national parks. Further taxonomical studies are required to assess conservation status ofthis potentially diverse species complex. Bibliography. Corbet &amp; Hill (1992), Dang Huy Huynh et al. (1994), Ellerman (1941), Marshall (1977b), Musser &amp; Carleton (2005), Osgood (1932), Phillips (1980), Wang Yingxiang (2003).

opennotspecifiedNov 2017View details →
zenodo32/100

Nickel and chromium stable isotopic composition of ureilites: implications for the Earth's core formation and differentiation of the ureilite parent body

<p>We report the first Ni and Cr stable isotope data for ureilite meteorites that are the mantle residue of a carbon-rich differentiated planet. Ureilites have similar Ni stable isotope compositions as chondrites, suggesting the core-mantle differentiation of ureilite parent body did not fractionate Ni isotopes. Since the size of Earth is potentially larger than that of ureilite parent body (UPB; with diameter &gt; 690 km), resulting in higher temperatures at the core-mantle boundary of Earth, it can be predicted that the terrestrial core formation may not directly cause Ni stable isotope fractionation. On the other hand, we also report high-precision Cr stable isotope composition of ureilites, including one ureilitic trachyandesite (ALM-A) that is enriched in lighter Cr stable isotopes relative to the main-group ureilites, which suggests the partial melting occurred on UPB. The globally heavy Cr in the UPB compared to chondrites can be caused by sulfur-rich core formation processes.</p>

opencc-by-4.0Sep 2021View details →
zenodo32/100

THE EFFECT OF BODY SIZE AND COMPOSITION ON LUMBAR SPINE TRABECULAR BONE SCORE IN MORPHOLOGICALLY DIVERSE SUBJECTS

<p><strong>Aim:</strong> The trabecular bone score (TBS) is a tool for assessing bone quality and health. Current TBS algorithm corrects for body mass index (BMI), as a proxy of regional tissue thickness. However, this approach fails to consider BMI inaccuracies due to individual differences in body stature, composition and somatotype. This study investigated the relationship between TBS and body size and composition in subjects with a normal BMI, but with large morphological diversity in body fatness and height.</p> <p><strong>Methods:</strong> Young male subjects (n=97; age 17.2&plusmn;1.0 years), including ski jumpers (n=25), volleyball players (n=48) and non-athletes (controls n=39), were recruited. The TBS was determined from L1-L4 dual-energy X-ray absorptiometry (DXA) scans using TBSiNsight software.</p> <p><strong>Results:</strong> TBS correlated negatively with height and tissue thickness in the L1-L4 area in ski jumpers (r= -0.516 and r= -0.529), volleyball players (r= -0.525 and r= -0.436), and the total group (r=-0.559 and r=-0.463), respectively. Multiple regression analyses revealed that height, L1-L4 soft tissue thickness, fat mass and muscle mass were significant determinants of TBS (R<sup>2</sup>= 0.587, p&lt;0.001). L1-L4 soft tissue thickness explained 27% and height 14% of the TBS variance.</p> <p><strong>Conclusion: </strong>The negative association of TBS and both features suggests that a very low L1-L4 tissue thickness may lead to overestimation of the TBS, while tall stature may have the opposite effect. It seems that the utility of the TBS as a skeletal assessment tool in lean and/or tall young male subjects could be improved if tissues thickness in the lumbar spine area and stature instead of BMI were considered in the algorithm.</p>

opencc-by-4.0May 2023View details →
ClinicalTrials.gov32/100

Diet, Body Composition, Lifestyle and Cardiovascular Health of Healthy and Active Adults From Slovenia

ClinicalTrials.gov study NCT04379622. IPD Sharing: UNDECIDED. Countries: 1. Publications: 5.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Exercise Capacity According to Coronary Microvascular Dysfunction and Body Composition

ClinicalTrials.gov study NCT04822649. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Body Composition: a Predictor of Mortality in Subjects Over 65 Years

ClinicalTrials.gov study NCT01472679. IPD Sharing: NO. Countries: 1. Publications: 2.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Effects of Kefir Consumption on Health Outcomes: Gastrointestinal System, Immunity, Biochemical Parameters, Body Composition, Sleep Quality and Mental Well Being in Healthy Adults

ClinicalTrials.gov study NCT06612164. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Effect of Empagliflozin vs Linagliptin on Glycemic Outcomes,Renal Outcomes & Body Composition in Renal Transplant Recipients With Diabetes Mellitus

ClinicalTrials.gov study NCT06095492. IPD Sharing: NO. Countries: 1. Publications: 7.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Changes in Weight, Body Composition and Metabolic Parameters After Discontinuing Dolutegravir or Tenofovir Disproxil

ClinicalTrials.gov study NCT04903847. IPD Sharing: Not stated. Countries: 1. Publications: 14.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Diet and Body Composition

ClinicalTrials.gov study NCT01530724. IPD Sharing: Not stated. Countries: 1. Publications: 16.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Chronic Study on Body Composition, Training, Performance, and Recovery

ClinicalTrials.gov study NCT04230824. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Impact of Whole-Body Vibration on Anthropometric Measurement and Body Composition in Overweight and Obese University Students

ClinicalTrials.gov study NCT06913231. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

The Effect of Diet Counseling for Low Calorie-High Protein on the Body Composition, Inflammation Marker, and Oxidative Stress Marker in Obese People With Weight Cycling

ClinicalTrials.gov study NCT03374150. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Protein Balance and Body Composition in Preterm Infants

ClinicalTrials.gov study NCT03013374. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Effects of Slow-speed Traditional Resistance Training, High-speed Resistance Training and Multicomponent Training With Variable Resistances on Molecular, Body Composition, Neuromuscular, Physical Func

ClinicalTrials.gov study NCT03455179. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Effect of L-citrulline and HIIT on Arterial Stiffness, Body Composition, and Lipid Profile in Adolescents with Steatosis Associated with Metabolic Dysfunction (MASLD)

ClinicalTrials.gov study NCT05778266. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Assessment of Body Composition in Children Treated With Growth Hormone for the Indication of Isolated Non-acquired Growth Hormone Deficiency.

ClinicalTrials.gov study NCT07333521. IPD Sharing: NO. Countries: 1. Publications: 2.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Body Composition in Systemic Amyloidosis

ClinicalTrials.gov study NCT02111538. IPD Sharing: Not stated. Countries: 1. Publications: 6.

restrictedIPD-UNDECIDEDFeb 2026View details →

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Allen Brain Atlas

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DANDI Archive for NWB datasets

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dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record