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Impact of Physiological, Lifestyle and Genetic Factors on Body Composition

Impact of Physiological, Lifestyle and Genetic Factors on Body Composition

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT02658539
Acronym
BODYCON
Enrollment
370
Registered
2016-01-20
Start date
2016-02-29
Completion date
2019-09-30
Last updated
2019-10-10

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Body Composition, Beneficial

Keywords

Body fat distribution, Bone mineral density, Dual-energy x-ray absorptiometry

Brief summary

Research has shown that body composition is a key component of health and future disease risk. Being overweight and obese is associated with a higher body fat composition, and a greater risk of developing type II diabetes and heart disease. The location where fat is stored in the body is becoming increasingly recognised an important predictor of risk, with extra fat around the abdomen and waist (referred to as the android pattern of fat distribution or 'apple' shape) thought to increase your disease risk than storing fat around the thighs and buttocks (gynoid pattern of fat distribution or 'pear' shape). As a result, there is significant interest in techniques to accurately monitor and detect changes in body composition, and also physiological and lifestyle factors which influence body fat, lean tissue mass and bone mineral density. This cross sectional human study will look at how physiological, behavioural and genetic factors relate to total body composition in 1,196 healthy men and women aged between 18 and 70 years. Interested applicants will be invited to attend for a single visit at the Hugh Sinclair Unit of Human Nutrition at the University of Reading. This visit lasts around two hours and includes noninvasive measures of body composition (bio-electrical impedance and dual energy x-ray absorptiometry), arterial stiffness and fasting measures of metabolic health. Diet and physical activity will then be monitored over a four day period using diet and activity diaries, and an activity monitor. The findings from this study will contribute to the evidence base on how subject characteristics influence body composition and inform on the design of future human studies on body composition methodology.

Interventions

None listed

Sponsors

University of Reading
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
CROSS_SECTIONAL

Eligibility

Sex/Gender
ALL
Age
18 Years to 70 Years
Healthy volunteers
Yes

Inclusion criteria

* BMI 18.5-39.9 kg/m2 * Not having suffered a myocardial infarction/stroke in the past 12 months * Not hyperlipidaemic (total cholesterol level \< 7.8 mmol/l and triacylglycerol \< 2.3 mmol/l). * Not diabetic (diagnosed as fasting blood glucose \> 7 mmol/l) or suffer from other endocrine disorders * Not suffering from renal or bowel disease or have a history of cholestatic liver disease or pancreatitis * Not diagnosed with cancer * Not suffering from arthritis or fracture deformity of the spine or femur * Not undergone bone related surgeries such as hip replacement or fusion(s) * Not on drug treatment for hyperlipidaemia, hypertension, inflammation or hypercoagulation * No history of alcohol abuse * Not anaemic (Haemoglobin \>115 g/l for women and 125 g/l for men)

Exclusion criteria

Due to the use of ionising radiation by the dual energy x-ray absorptiometry (DXA) scanner to assess total body composition and bone mineral density, the following

Design outcomes

Primary

MeasureTime frameDescription
Total body composition1 yearMeasured using dual-energy x-ray absorptiometry

Secondary

MeasureTime frameDescription
Body composition1 yearAssessed using bio-electrical impedance
Fasting blood lipids1 yearTotal cholesterol, triacylglycerol, high density lipoprotein cholesterol, low density lipoprotein cholesterol and non-esterified fatty acids
Markers of insulin resistance1 yearGlucose, insulin and indices of insulin resistance/sensitivity
Arterial stiffness1 yearStiffness index and Reflection index measured using digital volume pulse and Mobil-O-Graph
Blood pressure1 yearSystolic and diastolic blood pressure
Physical activity1 yearAssessed over 4 days using an accelerometer and activity diary
Anthropometric measurements1 yearBody mass index, waist circumference and hip circumference
C-reactive protein1 yearMeasured using a clinical chemistry analyser
Dietary intake1 yearAssessed using a 4-day weighed intake

Other

MeasureTime frameDescription
Genotyping1 yearSingle nucleotide polymorphisms in genes associated with body composition
Vitamin D status (25 hydroxy vitamin D)1 yearAssessed using HPLC or GC-MS

Countries

United Kingdom

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 12, 2026