The largest database of trusted experimental protocols

1500 mdd machine

Manufactured by Bodystat
Sourced in United Kingdom

The Bodystat 1500 MDD machine is a bioelectrical impedance analysis (BIA) device used to measure body composition. The core function of this equipment is to assess various parameters, such as body fat percentage, total body water, and other related metrics. The device operates by sending a small electrical current through the body and measuring the resistance, which is then used to estimate body composition.

Automatically generated - may contain errors

3 protocols using 1500 mdd machine

1

Physical Measurements of 5-Year-Olds

Check if the same lab product or an alternative is used in the 5 most similar protocols
Trained research assistants performed the health check for the 5-year-old children. The physical measurements included height, weight, and waist circumference. Height was determined to the nearest millimetre using a Leicester portable height measure (Seca, Hamburg, Germany) and weight to the nearest 100 g using a Marsden MS-4102 weighing scale (Oxfordshire, United Kingdom). Waist circumference was measured midway between the costal border and the iliac crest to the nearest millimetre using a Seca measuring tape. Fat mass was measured by arm-to-leg bioelectrical impedance analysis (Bodystat 1500 MDD machine (Bodystat Inc, Douglas, UK)).
+ Open protocol
+ Expand
2

Anthropometric and Body Composition Measurements

Check if the same lab product or an alternative is used in the 5 most similar protocols
Weight and height were measured using validated standard equipment. All participants wore light clothing and were barefoot. Body mass index (BMI) was calculated by dividing the body weight by the squared height. Body surface area (BSA) was calculated using the Mosteller formula [7 (link)]. Body composition assessment was performed by a Bodystat 1500MDD machine (Bodystat Ltd., Douglas, UK). Participants removed all metal and other objects that could interfere with the scan and were instructed to empty their bladder before the assessment. Each participant was in supine position in the center of the table with palms down and arms beside the body. Age, height, weight, and gender were entered into the machine for performing the automatic calculations. Fat-free mass index (FFMI) was calculated as the fat-free mass (kg), divided by the square of height (m2).
+ Open protocol
+ Expand
3

Adiposity Measurements in Children

Check if the same lab product or an alternative is used in the 5 most similar protocols
Adiposity measurements in the children were performed by trained research assistants at the health check at age 11-12 (14 (link)). Data on height and weight were obtained from the health check or YHCR. If height and weight were available from the health check and from the YHCR, the measurement of the ABCD health check was chosen. A Leicester portable height measure (Seca, Hamburg, Germany) was used to measure height to the nearest millimeter. Weight was measured to the nearest 100 g with a Marsden Ms-4102 weighing scale (Oxfordshire, UK). Subsequently, BMI was calculated by dividing the child’s weight in kilograms by their height in meters squared. Three experienced ultrasound technicians measured subcutaneous fat (SCF) with the plaque protocol setting of the automated ultrasound Panasonic Cardio Health Station V1.8 (Diagnostic Ultrasound System GM-72P00A). SCF was measured as the transversal edge to edge distance between the skin and the linea alba, just above the belly button. A Seca measuring tape was used to determine waist circumference to the nearest millimeter in the middle between the costal margin and the iliac crest. After this, the WHtR was calculated and multiplied by 100 (28 (link)). Arm-to-leg bioelectrical impedance analysis (Bodystat 1500 MDD machine (Bodystat Inc, Douglas, UK)) was performed to determine fat mass. Next, fat% was calculated (29 (link)).
+ Open protocol
+ Expand

About PubCompare

Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.

We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.

However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.

Ready to get started?

Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required

Sign up now

Revolutionizing how scientists
search and build protocols!