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869 scale

Manufactured by Seca
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Sourced in Germany

The 869 scale is a precision weighing instrument designed for laboratory use. It features high accuracy and reliability, with the ability to measure weights within a specific range. The core function of the 869 scale is to provide precise and consistent measurements for various applications within a laboratory setting.

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Lab products found in correlation

213 stadiometer, by Seca (2 mentions)

Close spelling variants of this product

Seca 869 Mobile floor Scale (2 citations)

4 protocols using 869 scale

1

Adolescent Anthropomorphic Measurements

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Adolescents’ anthropomorphic data was collected by trained research assistants. Weight was measured twice with a Seca 869 scale, with 1–9 days between weight assessments; height was measured with a Seca 213 mobile stadiometer. Participants were weighed with their clothes on and their shoes off. Body mass index (BMI) was calculated EpiInfo version 3.5.1. As the recommended obesity outcome measure for pediatric samples, percent overweight was calculated as the percent each adolescent’s BMI was over their CDC-defined median BMI for age and sex.
Pickett S.M., Jacques-Tiura A.J., Echeverri-Alvarado B., Sheffler J.L, & Naar S. (2022). Daytime Sleepiness, Addictive-like Eating, and Obesity Sequelae in Black and African American Youth with Obesity. Sleep health, 8(6), 620-624.
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2

Anthropometric Measurements for Health Assessment

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The weight (kg) was measured using a SECA scale (869 scale, Hamburg, Germany; accuracy 0.05 g) and the height (cm) was measured using a stadiometer (SECA model 213, accuracy 0.10 cm). The body mass index (BMI) was calculated as the weight (kg) divided by the height squared (m 2 ). The waist circumference (WC) (cm) was measured at the level of the umbilicus zone in the horizontal plane with a non-elastic tape (SECA model 200) . The waist-to-height ratio (WHtR) (cm/m) was calculated as the WC expressed in centimetres divided by the height expressed in metres. All measurements were taken twice, and the mean was used in the analyses.
Merino-De Haro I., Mora-Gonzalez J., Cadenas-Sanchez C., Borras P.A., Benito P.J., Chiva-Bartoll O., Torrijos-Niño C., Samaniego-Sánchez C., Quesada-Granados J.J., Sánchez-Delgado A., Dorado-García C., García-Martínez J.M., Vicente-Rodríguez G., Labayen I, & Ortega F.B. (2019). Higher socioeconomic status is related to healthier levels of fatness and fitness already at 3 to 5 years of age: The PREFIT project. Journal of sports sciences, 37(12).
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3

Measuring Pediatric Obesity Intervention Outcomes

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Percent overweight was calculated as the percentage their BMI was above the CDC’s median BMI for age and gender. This is the recommended primary outcome measure for pediatric obesity, especially with samples of obese adolescents for whom zBMI and BMI are not considered optimal measures (Epstein et al., 1994 (link); Paluch et al., 2007 (link)), and the measure has been shown to respond to intervention in other studies with this population (Ellis et al., 2010; MacDonell et al., 2010 (link); Naar-King et al, 2009 (link)). BMI was computed using Epi Info software version 3.5.1 (CDC, Atlanta, GA). Weight was assessed with the Seca 869 scale (Seca, Hanover, MD) at T1, T2, and T3. Youth were weighed twice for each data collection point, between 1 and 9 days apart (M=4.42, SD=2.10) with the average weight used to calculate BMI, and height was assessed using the Seca 213 Stadiometer.
Naar-King S., Ellis D.A., Carcone A.I., Templin T., Jacques-Tiura A.J., Brogan Hartlieb K., Cunningham P, & Jen K.L. (2015). Sequential Multiple Assignment Randomized Trial (SMART) to Construct Weight Loss Interventions for African American Adolescents. Journal of clinical child and adolescent psychology : the official journal for the Society of Clinical Child and Adolescent Psychology, American Psychological Association, Division 53, 45(4), 428-441.
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4

Eating Patterns and BMI Assessment

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All aspects of the study were approved by Wayne State University’s Institutional Review Board. The trial was registered with ClinicalTrials.gov (identifier: NCT01350531). Data was collected in the home to reduce participant burden. At the baseline assessment, participants completed self-administered measures regarding eating pathology (e.g., binge eating, addictive-like eating) and patterns of dietary intake (e.g., frequency of food consumption). Weight was assessed with the Seca 869 scale (Seca, Hanover, MD), and height was assessed with the Seca 213 Stadiometer. Youth were weighed twice for each data collection point, between 1 and 8 days apart (M=4.18, SD=2.03), with the average weight used to calculate BMI. BMI and BMI percentile were computed using Epi Info software version 3.5.1 (Centers for Disease Control and Prevention (CDC), 2016 ) and then percent overweight was computed based on the CDC-defined median BMI for age and sex.
Schulte E.M., Jacques-Tiura A.J., Gearhardt A.N, & Naar S. (2017). Food Addiction Prevalence and Concurrent Validity in African American Adolescents with Obesity. Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors, 32(2), 187-196.
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