UKB is a large observational study of 502 678 UK adults aged 40–69 years. Eligible adults were invited to one of 22 assessment centres around the UK from 2006 to 2010. The study has been described in detail previously.20 (link),21 (link) Participants reported lifestyle exposures, medical history and medications before undergoing standardized assessments including body size and biomarker measurements. Anthropometric measurements included body weight (using a Tanita BC418MA body composition analyser or a standard scale if the participant did not undergo bioimpedance), standing height (Seca 240-cm height measure) and waist and HC (Seca 200-cm tape measure around the narrowest part of the trunk and the widest part of the hips, respectively).
240 cm height measure
Manufactured by Seca
Sourced in Germany
The 240 cm height measure is a device designed to accurately measure the height of individuals. It features a rigid scale with clear markings in centimeters, allowing for precise height measurements up to 240 cm.
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Lab products found in correlation
Bc418ma body composition analyzer, by Tanita (4 mentions)
200 cm tape measure, by Seca (2 mentions)
Bc 418ma, by Tanita (2 mentions)
Bc418ma body composition analyser, by Seca (1 mentions)
Lh750, by Beckman Coulter (1 mentions)
705 it electronic blood pressure monitor, by Omron (1 mentions)
Au5800, by Beckman Coulter (1 mentions)
7 protocols using 240 cm height measure
1
Anthropometric Measurements in Large UK Cohort
2
Population-based BMI Analysis by Age
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Described in detail elsewhere [44 ], weight was collected from subjects using a Tanita BC418MA body composition analyzer. Standing and sitting height measurements were collected from subjects using a Seca 240cm height measure. Body mass index (BMI) was calculated as weight divided by height squared (kg/m2). We divided the BMI data into six age intervals: 40–45; 46–50; 51–55; 56–60; 61–65; and 66–73 years. The range was based on available data whereas the number of age tranches was selected to maximize our power to choose between competing longitudinal and multivariate models without minimizing the statistical power of the GWAS analyses at each interval. The number of subjects with complete BMI and GWAS summary statistics are shown in S1 Table .
3
Anthropometric and Biomarker Measurements
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Data fields for derivation of all study variables are listed in online supplementary Table S1. Standing height was measured using a Seca 240 cm height measure. Weight was measured with Tanita BC418MA body composition analyzer. BMI was calculated as weight in kilograms divided by height in meters squared. Blood pressure was measured by Omron 705 IT electronic blood pressure monitor (OMRON Healthcare Europe B.V. Kruisweg 577 2132 NA Hoofddorp) in seated position, and results from 2 measurements were averaged. Physical measurements were performed by registered nurses, trained and certified to conduct assessments undertaken at the assessment centers. Total cholesterol was measured by CHO-POD analysis on a Beckman Coulter AU5800. Blood neutrophil and lymphocyte counts were measured by Beckman Coulter LH750 instruments.
4
Anthropometric Measurements in Baseline Assessment
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Height, weight, WC, and HC were assessed by trained personnel during the baseline assessment center visit [21] (link). Body weight (kilograms, kg) was measured using a Tanita BC418MA body composition analyzer. Height was measured using a Seca 240 cm height measure, while HC and WC measurements (cm) were assessed using a Seca 200 cm tape measure. BMI was calculated as body weight (kg) divided by height in meters squared (kg/m 2 ), and WHR was calculated as WC divided by HC.
5
Anthropometric Measurements in Large Cohort
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Measurements were recorded by a trained nurse for weight in kilograms using a bioelectrical impedance device ‘Tanita BC418MA’, and standing height in metres using a Seca 240 cm height measure. These were converted to body mass index (weight/height2 ). Waist and hip circumference (cm) were taken at the same time using a Seca 200 cm tape measure, and converted to WHR values (waist/hip). Full details of the anthropometric assessment are available online57 . In the present study’s analytic sample 53,065 men and 58,754 had BMI measures and 53,147 men and 58,809 women had WHR measures.
6
Anthropometric Measurements Technique
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Standing height was measured barefoot to the nearest centimeter using a Seca 240-cm height measure (Seca GmbH & Co. KG, Hamburg, Germany) [22 ]. Hip circumference (HC) and waist circumference (WC) were measured to the nearest cm using a Seca 200-cm tape measure (seca GmbH & Co. KG, Hamburg, Germany). Waist measurement was recorded at the smallest part of the trunk on the outbreath. In cases where a natural indent could not be found, the tape was passed around the level of the umbilicus. HC was obtained at the widest part of the hips [22 ]. The measurements were later used to calculate waist-to-hip ratio (WHR) and waist-to-height ratio (WHtR). Body weight and whole body fat mass were measured with a Tanita BC418MA body composition analyzer (Tanita Europe B.V., Amsterdam, The Netherlands) to the nearest 0.1 kg by bioelectrical impedance. Body mass index was calculated as weight in kg divided by height in m2 [22 ].
7
Anthropometric Measurements with Tanita and Seca
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Data on weight were collected using a Tanita BC418MA body composition analyzer (Tanita Corporation of America, Inc., Arlington Heights, IL, United States). A Seca 240 cm height measure (Seca Deutschland, Hamburg, Germany) was used to obtain standing height measurement from participants. Body mass index was calculated as follows:
Further details on the anthropometric measurements can be obtained from the following URL:http://biobank.ndph.ox.ac.uk/showcase/refer.cgi?id=146620 .
Further details on the anthropometric measurements can be obtained from the following URL:
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