Leicester portable height measure

Manufactured by Seca

Sourced in Germany

The Leicester portable height measure is a compact and lightweight device designed to accurately measure an individual's height. It features a sliding measurement scale and can be easily transported for use in various settings.

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Lab products found in correlation

1500 mdd machine, by Bodystat (2 mentions) 877 class 3, by Seca (2 mentions) Measuring tape, by Seca (1 mentions) 1500mdd device, by Bodystat (1 mentions) Bf 350, by Tanita (1 mentions)

Close spelling variants of this product

Leicester Height Measure (82 citations) Height measure (12 citations) Portable height measure (3 citations)

10 protocols using leicester portable height measure

Anthropometric Measurements in Children

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Participants' age, gender and ethnicity were collected by parental report.
Children were weighed in light clothing without shoes using standard bathroom scales (accurate to 0.1 kg) and height was measured using a stadiometer (Seca Leicester Portable height measure). Children's weight and height were later converted to BMI z-scores, corrected for age and gender using British 1990 Child Growth Reference Chart (UK90).
Parents gave informed consent and verbal assent was gained from each child prior to participation.

Fogel A, & Blissett J. (2017). Past exposure to fruit and vegetable variety moderates the link between fungiform papillae density and current variety of FV consumed by children. Physiology & behavior, 177.

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Adiposity Measurements in Children

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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)).

Baas R.E., Hutten B.A., Henrichs J, & Vrijkotte T.G. (2022). Associations Between Maternal Lipid Blood Levels at the 13th Week of Pregnancy and Offspring’s Adiposity at Age 11-12 Years. The Journal of Clinical Endocrinology and Metabolism, 107(10), e4048-e4057.

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Childhood BMI Trajectory Evaluation

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Data on weight and length (BMI) during the first year were collected during the YHC routine visits where children are invited to at 1, 2, 3, 4, 6, 7.5, 9, and 11 months of age. These data were obtained from the YHC registry. During these visits, height was measured to the nearest millimeter with a Leicester portable height measure (Seca, Hamburg, Germany). Weight was measured to the nearest 100 g with a calibrated Marsden M-4102 scale (Oxfordshire, UK) [36 (link)]. From these data, BMI was calculated as weight in kilograms divided by the square of height in meters. For deriving BMI trajectories, non-standardized BMI values were used. At 5–6 years of age, data on child’s weight and height (for BMI) were obtained from the YHC registry (n = 1235) or the ABCD health examinations (n = 1868). The examinations were conducted by trained research assistants according to a standard protocol [33 (link)]. Age- and sex- specific BMI standard deviation (SD) scores were derived according to the WHO growth standards [42 (link)] using the Growth Analyzer Software, version 4.0 (Growth Analyzer BV). Overweight (including obesity) was defined as > + 1SD above the median of the WHO growth standards.

Sirkka O., Hof M.H., Vrijkotte T., Abrahamse-Berkeveld M., Halberstadt J., Seidell J.C, & Olthof M.R. (2021). Feeding patterns and BMI trajectories during infancy: a multi-ethnic, prospective birth cohort. BMC Pediatrics, 21, 34.

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Evaluating Digital Media Effects on Children

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On test days, children were shown a digital versatile disc (control or experimental, in accordance with a randomisation schedule prepared via http://www.randomizer.org) in small groups of six in a private room within the school. Following viewing, children completed some paper-based measures (detailed below). On the second (final) study day only, height of the participants was measured to the nearest 0•1 cm using a stadiometer (SECA Leicester Portable Height Measure), and weight was measured using recently calibrated weighing scales (SECA 770) to the nearest 0•1 kg in light clothing with no shoes. Testing was carried out at the same time of day on both occasions to minimise variation in levels of hunger between the two conditions.

Boyland E.J., Kavanagh-Safran M, & Halford J.C. (2015). Exposure to 'healthy' fast food meal bundles in television advertisements promotes liking for fast food but not healthier choices in children. The British journal of nutrition, 113(6).

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Physical Measurements of 5-Year-Olds

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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)).

Gademan M.G., Vermeulen M., Oostvogels A.J., Roseboom T.J., Visscher T.L., van Eijsden M., Twickler M.T, & Vrijkotte T.G. (2014). Maternal Prepregancy BMI and Lipid Profile during Early Pregnancy Are Independently Associated with Offspring's Body Composition at Age 5–6 Years: The ABCD Study. PLoS ONE, 9(4), e94594.

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Anthropometric Measurements in 5-6 Year Olds

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Height of the children at age 5–6 years was measured to the nearest millimeter with a Leicester portable height measure (Seca, Hamburg, Germany) and weight was measured to the nearest 100 g with a Marsden M-4102 scale (Oxforshire, UK) [42 (link)]. BMIs were calculated from these measurements and were then converted into standard deviation scores (SDS). These SDS were corrected for child age at measurement and were derived from gender-specific reference curves based on ABCD study data. These reference curves were generated using the Lambda Mu Sigma method and were fitted using a Box-Cox power formula [43 (link),44 (link)]. Waist circumference was measured to the nearest millimeter using a Seca measuring tape halfway between the iliac crest and the costal margin and converted into WHtR [42 (link)]. After children had emptied their bladders, %BF was measured twice in a supine position using dual-frequency, tetrapolar, arm-to-leg bioelectrical impedance analysis (BIA) with the BodyStat 1500 MDD device (BodyStat Inc., Douglas, UK). Data on the procedure and validation of this measurement in 5–6 year old children has been previously described [42 (link),45 (link)]. A recalibrated version of the Kushner equation was derived from the validation procedure and was utilized to measure %BF in the children [45 (link)].

Hrudey E.J., Kunst A.E., Stronks K, & Vrijkotte T.G. (2015). Do Neighborhood Characteristics in Amsterdam Influence Adiposity at Preschool Age?. International Journal of Environmental Research and Public Health, 12(5), 5561-5580.

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Anthropometric Measurements in Pediatric Samples

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In all the children, height (m) was measured to the nearest 1 mm using a stadiometer (Leicester Portable Height Measure, Seca Instruments, Hamburg, Germany), and body mass (kg) was measured in light indoor clothing to the nearest 0.1 kg (Tanita BF350, Tanita, Tokyo, Japan). BMI was calculated in kg/m². WC was measured using a non-stretchable tape midway between the 10th rib and superior iliac crest. Percent body fat was assessed using leg-to-leg impedance scales (Tanita BF350). BMI and WC data were converted to standard deviation scores (SDS) on the basis of reference curves for children and young people (LMS Growth; Harlow Printing Limited, Tyna and Wear, UK) [10 (link),14 ]. Skinfold measurements were also taken from two sites (triceps and subscapula) using SF callipers (Harpenden Instruments Ltd., Baty International, West Sussex, UK). Percent body fat from SF measurements was estimated using equations for children [15 (link)]. All assessments were undertaken by a researcher and were conducted within the child’s school environment and in line with prior research on anthropometry in paediatric samples [15 (link),16 (link)].

Eyre E.L., Duncan M.J, & Nevill A. (2017). South Asian Children Have Increased Body Fat in Comparison to White Children at the Same Body Mass Index. Children, 4(11), 102.

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Standardized Anthropometric Measurements in School-Based Study

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Participant and parental sociodemographic parameters including age, sex, drug history, ethnicity, parental education, and occupation were collected using pre-tested researcher administered questionnaires. Anthropometric measurements were conducted in the school premises by the researchers and trained assistants using standardized and validated procedures [28 ]. Participants removed all heavy outer clothing and accessories including sweaters, shoes, wristwatches, belts and emptied their pockets before anthropometric measurements were done. Using a digital scale (Seca® 877 Class III), body weight was measured to the nearest 0.1 kg. Height was measured to the nearest 0.1 cm using a collapsible stadiometer (Seca® Leicester portable height measure), while waist circumference was measured with a non-stretch tape rule placed horizontally, midway between the lower border of the 10^th rib and iliac crest. All measurements were conducted in duplicate and the mean was considered. BMI-for-age z-scores (BAZ) and height-for-age z-scores (HAZ) were generated using the WHO AnthroPlus software, which is based on the WHO 2006 growth reference charts for 5–19 years old children [29 ].

Wariri O., Akhimienho K.I., Alhassan J.A., Jalo I., Oloyede I.P., Nyong E.E, & Bode-Thomas F. (2020). Population and Individual-Level Double Burden of Malnutrition Among Adolescents in Two Emerging Cities in Northern and Southern Nigeria: A Comparative Cross-Sectional Study. Annals of Global Health, 86(1), 153.

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Anthropometric and Blood Pressure Measurements

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All participants removed their outer clothing, accessories, shoes, belts, wrist watches and emptied their pockets before measurements were taken. Body weight was measured to the nearest 0.1 kg using a digital scale (Seca® 877 Class III). Height was measured to the nearest 0.1 cm using a potable, collapsible stadiometer (Seca® Leicester portable height measure). Waist circumference were measured according to standard procedures with a non-stretch tape rule (Seca® 2011) placed horizontally, once, midway between the lower border of the 10th rib and the top of the iliac crest, at normal expiration [26 ].
Blood pressure measurements were done per the recommendations of the 4th report criteria of the National High Blood Pressure Education Programme [5 (link)]. Measurements were taken at the level of the heart with participants in seated position, using a standard mercury sphygmomanometer (ACCUSON® Hospital model BS 274) with systolic and diastolic blood pressure read off at the 1st and 5th Korotkoff respectively. Systolic and diastolic blood pressures were calculated as the mean of three readings taken 1 week apart.

Wariri O., Jalo I, & Bode-Thomas F. (2018). Discriminative ability of adiposity measures for elevated blood pressure among adolescents in a resource-constrained setting in northeast Nigeria: a cross-sectional analysis. BMC Obesity, 5, 35.

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Childhood Obesity Screening and Assessment

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The primary outcome was the child's BMI‐SDS at age 5–6 years. For this, weight and height data were obtained from the YHC registry or the ABCD health check, which was conducted by trained research assistants. Height was measured to the nearest millimetre with a Leicester portable height measure (Seca, Hamburg, Germany), and weight was measured to the nearest 100 g with a calibrated Marsden M‐4102 scale (Oxfordshire, UK).16 BMI was calculated from the height and weight data as weight in kilograms divided by the square of height in metres. BMI scores were converted to age‐adjusted and sex‐adjusted SDSs relative to WHO 2007 growth standards21 using the Growth Analyser 3.0 (Dutch Growth Research Foundation, Rotterdam, The Netherlands). We also obtained odds ratios (ORs) for overweight, for which children were dichotomized into having either ‘no overweight’ or ‘overweight’ (including obesity) according to sex‐specific and age‐specific BMI cut‐off values defined by the International Obesity Task Force.22

Sirkka O., Vrijkotte T., Halberstadt J., Abrahamse‐Berkeveld M., Hoekstra T., Seidell J, & Olthof M. (2018). Prospective associations of age at complementary feeding and exclusive breastfeeding duration with body mass index at 5–6 years within different risk groups. Pediatric Obesity, 13(8), 522-529.

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