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Calibrated digital scale

Manufactured by Seca
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Sourced in United Kingdom, Germany

Calibrated digital scales are precision measuring instruments designed to weigh objects with a high degree of accuracy. They utilize advanced electronic sensors to provide reliable and consistent measurements.

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Lab products found in correlation

Stadiometer, by Seca (5 mentions) Leicester height measurer, by Seca (3 mentions) Discovery instrument, by Hologic (3 mentions) Discovery dxa scanner, by Hologic (2 mentions) Lunar prodigy dxa scanner, by GE Healthcare (2 mentions) Leicester height measure, by Seca (2 mentions) Digital stadiometer, by Seca (1 mentions) Wall mounted stadiometer, by Holtain (1 mentions) Lunar idxa, by GE Healthcare (1 mentions) Discovery scanner, by Hologic (1 mentions) Body fat analyser, by Tanita (1 mentions) Body fat analyzer, by Tanita (1 mentions) Apex 3, by Hologic (1 mentions) Discovery a, by Hologic (1 mentions) Leicester stadiometer, by Seca (1 mentions)

19 protocols using calibrated digital scale

1

Infant Weight Gain Measurement

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Birth weight was measured using calibrated digital scales (Seca, UK). The 2-year assessment was performed by a research nurse during a home visit, in which weight was measured using calibrated digital scales (Seca Ltd, UK). Infant weight gain was calculated by subtracting birth weight from weight at 2 years.
Norris T., Crozier S.R., Cameron N., Godfrey K.M., Inskip H, & Johnson W. (2020). Fetal growth does not modify the relationship of infant weight gain with childhood adiposity and blood pressure in the Southampton women’s survey. Annals of Human Biology, 47(2), 150-158.
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2

Anthropometric Measures and Body Composition

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Body weight (kg) was measured without shoes using a calibrated digital scale (SECA GmbH & Co. KG). Two measures were recorded to the nearest 0.1 kg, and a third measure was obtained if the first and the second measures differed by > 0.2 kg. The average of the measures was reported.
Body height (cm) was measured without shoes using an automatic weighing scale (SECA GmbH & Co. KG). Two measures were recorded to the nearest 0.1 cm, and a third measure was obtained if the first and the second measures differed by > 1.0 cm. The average of the measures was reported.
Body Mass Index (BMI) was calculated as body weight (in kilograms) divided by height (in meters squared) and categorized based on the Asian cut-off points (underweight: < 18.5 kg/m2; normal weight: 18.5-22.9 kg/m2; overweight: 23.0-24.9 kg/m2; pre-obese: 25.0-29.9 kg/m2, and obese: ≥ 30.0 kg/m2) (18 (link)). Body fat mass (kg) and lean body mass (kg) were assessed using a bioimpedance analysis instrument (SFB7, ImpediMed Ltd.).
Liew S.J., Soon C.S., Chooi Y.C., Tint M.T, & Eriksson J.G. (2023). A holistic approach to preventing type 2 diabetes in Asian women with a history of gestational diabetes mellitus: a feasibility study and pilot randomized controlled trial. Frontiers in Clinical Diabetes and Healthcare, 4, 1251411.
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3

Standardized Smartphone-Based Body Composition Scanning

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Our procedures for visual body composition scanning have been previously reported(19 (link)) but are summarised below. Participants reported to the laboratory after abstention from food, beverages, supplements/medication and exercise for ≥ 8 h. Upon arrival participants were asked to remove any external accessories (jewelry, shoes, etc.) and/or loose clothing and underwent measurements of height collected by a digital stadiometer (SECA, Hamburg, Germany), weight collected by a calibrated digital scale (SECA, Hamburg, Germany) and WC and HC collected using an aluminum tape measure. Following tape measurements, participants were lead to a specific area of the laboratory to complete the smartphone-based assessments. For scanning on each mobile application, participants were instructed to wear minimal form-fitting clothing. For example, female participants were instructed to wear a sports bra and tight-fitting shorts/leggings, and male participants were instructed to wear compression shorts/tights only. Higher waisted shorts that covered the participants bellybutton were altered to expose the participants entire abdominal region to the smartphone camera. Participants with long hair were instructed to tie their hair up so that no hair was present below the shoulder line.
Graybeal A.J., Brandner C.F, & Tinsley G.M. (2023). Evaluation of automated anthropometrics produced by smartphone-based machine learning: a comparison with traditional anthropometric assessments. The British Journal of Nutrition, 130(6), 1077-1087.
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4

Anthropometric Measurements Protocol for Body Composition

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Fifty one subjects met the inclusion criteria and were enrolled in the study. Weight measurement was done using a calibrated digital scale (Seca gmbh & co. kg. Germany). A stadiometer (Seca gmbh & co. kg. Germany) calibrated before each measurement, was used for height measurement. Abdominal and hip circumferences were assessed by a trained nurse, using a cloth tape. The waist was defined at the midpoint between the highest point of the iliac crest and the lowest part of the costal margin in the midaxillary line, and the hip was measured at the level of the greater femoral trochanters. These measurements were used for calculating the body mass index (BMI), and the waist to hip ratio (WHR).
Aghili R., Malek M., Valojerdi A.E., Banazadeh Z., Najafi L, & Khamseh M.E. (2014). Body composition in adults with newly diagnosed type 2 diabetes: effects of metformin. Journal of Diabetes and Metabolic Disorders, 13, 88.
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5

Anthropometric and Blood Pressure Measurements

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Nurses measured height by a tape meter (Seca, Germany) while patients stood with heads and heels touching the wall surface without shoes. Weight was measured by a calibrated digital scale (Seca, Germany) without heavy clothes or shoes. Blood pressure was measured when participants were comfortable with their right hand at heart level using an automated oscillometric device (Glamor, Germany). Hypertension was defined as systolic blood pressure 140 mmHg or higher, diastolic blood pressure 90 mmHg or higher, or routine use of antihypertensive medications. WC was measured by wrapping a tape meter around patients’ waist, in the middle line between anterior superior iliac spine and the last rib, after they breathed out [8 (link)], and HC was determined by measuring around the largest part of buttocks. Body surface area (BSA) was calculated by Dubois formula: BSA = 0.20247 [weight 0.425 × (height/100)0.725] [9 ].
Ashraf A., Rimaz S., Seddighinejad A., karimi A., Hassanzadeh-Rad A., Gholipour M., Motiei M., Yazdanipour M.A, & Rimaz S. (2023). The effect of physical activity level on the severity of diastolic dysfunction. BMC Sports Science, Medicine and Rehabilitation, 15, 74.
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6

Anthropometric Measurements in Growth Studies

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Body weight was measured using a calibrated digital scale (Seca, Hamburg, Germany) to the nearest 0.1 kg. Height was measured using a wall-mounted stadiometer (Holtain, Crosswell, UK) to the nearest 0.1 cm. Body mass index (BMI, kg/m2) was determined by dividing the weight in kilograms by the square of the height in meters. Height velocity was calculated as the amount of growth in centimeters divided by the time interval between measurements in years. All values were expressed in z-scores [41 (link),42 ]. Pubertal stage was assessed according to Tanner score [43 (link)].
Martin F.P., Ezri J., Cominetti O., Da Silva L., Kussmann M., Godin J.P, & Nydegger A. (2016). Urinary Metabolic Phenotyping Reveals Differences in the Metabolic Status of Healthy and Inflammatory Bowel Disease (IBD) Children in Relation to Growth and Disease Activity. International Journal of Molecular Sciences, 17(8), 1310.
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7

Anthropometric Measurements for Body Composition

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Height was measured using a digital stadiometer (SECA 769, Hamburg, Germany) to the nearest tenth (cm) and weight using a calibrated digital scale (SECA, Hamburg, Germany) to the nearest hundredth (kg). Body composition estimates including body fat percent (BF%), fat mass (FM), and fat-free mass (FFM) were collected using DXA (Lunar iDXA, General Electric, Boston, MA, USA) with version 18 enCORE software and used to describe our sample and verify similar body composition components between groups. Participants were positioned on the DXA according to recommended guidelines and reflection scanning techniques were used for larger participants who were unable to fit within the DXA scanning dimensions. [28 (link),29 (link)] WC was collected at the level of the superior iliac crest and HC was collected at the widest lateral portion of the hip using a flexible aluminum tape measure. WC and HC were collected in duplicate and averaged to produce a final estimate (TEM: 0.43 cm). Further reliability metrics from our laboratory can be found elsewhere. [30 (link)] Waist-to-hip ratio was calculated as the average WC divided by the average HC.
Graybeal A.J., Tinsley G.M., Brandner C.F, & Aultman R. (2023). Raw bioelectrical impedance measurements are not different between White and Black adults when matched for sex, age, BMI, and other physical characteristics. Nutrition research (New York, N.Y.), 112, 1-10.
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8

Anthropometric Measurements Protocol

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Height was measured to the nearest 0.1 cm in duplicate using a wall mounted stadiometer. Body mass was measured to the nearest 0.1 kg using a calibrated digital scale (Seca, Los Angeles, CA, USA). Body mass was measured twice a week during weight maintenance and energy restriction to monitor study diet compliance and track weight loss.
Margolis L.M., Ceglia L., Rivas D.A., Dawson-Hughes B, & Fielding R.A. (2018). Pilot Study Examining the Influence of Potassium Bicarbonate Supplementation on Nitrogen Balance and Whole-Body Ammonia and Urea Turnover Following Short-Term Energy Restriction in Older Men. Nutrients, 10(5), 624.
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9

Baseline Demographic and Anthropometric Measures

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Baseline demographic characteristics including age, race/ethnicity, education, household income, smoking status, and age at menarche were obtained through self-report by the participants at enrollment. Female participants were also asked if they had regular menstrual cycles at the time of the baseline visit (regular versus irregular), and their amount of weekly aerobic physical activity (<30 minutes; 30–59 minutes; 1–2 hours; ≥3 hours). Dietary covariates (e.g., energy, caffeine and alcohol) were estimated from the average of the dietary recalls. In addition, participants were weighed (within 0.1 kg) without shoes and wearing only light clothing on a calibrated, digital scale (SECA, Chino, CA). Standing height was measured without shoes (within 0.5 cm) on a wall-mounted stadiometer. All measurements were taken twice and averaged. If the first two measurements disagreed (>0.5 cm for height or >0.2 kg for weight), a third measurement was taken and the two closest were averaged and recorded. Body mass index (BMI) was calculated for each participant [weight (kg)/height (m)2].
Hsiao P.Y., Fung J.L., Mitchell D.C., Hartman T.J, & Goldman M.B. (2019). Dietary quality, as measured by the Alternative Healthy Eating Index for Pregnancy (AHEI-P), in couples planning their first pregnancy. Public Health Nutrition, 22(18), 3385-3394.
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10

Longitudinal Bone Health Assessment

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At 6 and 8 years of age, children were invited for a repeat DXA assessment. The child’s height, using a Leicester height measurer (Seca, Birmingham, UK), and weight, using calibrated digital scales (Seca, Birmingham, UK) were measured. The child’s age at the time of DXA assessment was also recorded. A Hologic Discovery scanner (Hologic Inc., Bedford, MA, USA) was used in paediatric scan mode. To encourage compliance children were shown an age-appropriate DVD and a bright sheet with appropriate pictures was laid on the couch. Whole body scans were obtained, generating data on bone indices. Coefficients of variation for this instrument for whole body BMD were 0.75%. DXA scans were reviewed and those with excessive movement or clothing artefacts were omitted from the analysis.
Woolford S., Curtis E., D’Angelo S., Mahon P., Cooke L., Cleal J., Crozier S., Godfrey K., Inskip H., Cooper C, & Harvey N. (2020). Placental volume at 11 weeks is associated with offspring bone mass at birth and in later childhood: Findings from the Southampton Women’s Survey. Placenta, 99, 101-107.
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