Hand length as an alternative measurement of height

Guerra, Rita S.; Fonseca, Isabel; Pichel, Fernando; Restivo, Maria Teresa; Amaral, Teresa

doi:10.1038/ejcn.2013.220

Cited by 54 publications

(47 citation statements)

References 26 publications

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“…The vascular path length is the distance traveled by the pulse wave from the aortic valve to the site of the radial artery catheter. We estimated the vascular path length using the formula L = (demi-span) − (hand length), where demispan (distance from sternal notch to the tip of the fingers) and hand length were estimated from height, age, and gender as described previously [6, 7]. Stroke volume (SV) was calculated using the formula SV = LVOT CSA × LVOT VTI, where CSA is the cross-sectional area of the LVOT and VTI is velocity-time integral across the LVOT.…”

Section: Methodsmentioning

confidence: 99%

The Effects of Hemodynamic Changes on Pulse Wave Velocity in Cardiothoracic Surgical Patients

Obata

Mizogami

Singh

et al. 2016

BioMed Research International

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The effect of blood pressure on pulse wave velocity (PWV) is well established. However, PWV variability with acute hemodynamic changes has not been examined in the clinical setting. The aim of the present study is to investigate the effect of hemodynamic changes on PWV in patients who undergo cardiothoracic surgery. Using data from 25 patients, we determined blood pressure (BP), heart rate (HR), and the left ventricular outflow tract (LVOT) velocity-time integral. By superimposing the radial arterial waveform on the continuous wave Doppler waveform of the LVOT, obtained by transesophageal echo, we were able to determine pulse transit time and to calculate PWV, stroke volume (SV), cardiac output (CO), and systemic vascular resistance (SVR). Increases in BP, HR, and SVR were associated with higher values for PWV. In contrast increases in SV were associated with decreases in PWV. Changes in CO were not significantly associated with PWV.

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Section: Methodsmentioning

confidence: 99%

The Effects of Hemodynamic Changes on Pulse Wave Velocity in Cardiothoracic Surgical Patients

Obata

Mizogami

Singh

et al. 2016

BioMed Research International

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“…Published equations allow estimated height to be calculated from a range of different body measurements, including knee height (Chumlea & Guo, ; Han & Lean, ; Ritz, ), arm span (Brown et al ., ; Mohanty et al ., ; de Lucia et al ., ; Capderou et al ., ), demi‐span (Bassey, ; Hirani & Aresu, ), ulna length (Elia, ; Auyeung et al ., ) and hand length (Guerra et al ., ) (Table ). The relationship between height and other body variables is influenced by several factors, including age and ethnicity (Steele & Chenier, ; Launer & Harris, ; Reeves et al ., ; Chumlea et al ., ; Mohanty et al ., ; Madden et al ., ).…”

Section: Height and Weightmentioning

confidence: 99%

Body composition and morphological assessment of nutritional status in adults: a review of anthropometric variables

Madden

Smith

2014

J Human Nutrition Diet

199

147

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Evaluation of body composition is an important part of assessing nutritional status and provides prognostically useful data and opportunity to monitor the effects of nutrition-related disease progression and nutritional intervention. The aim of this narrative review is to critically evaluate body composition methodology in adults, focusing on anthropometric variables. The variables considered include height, weight, body mass index and alternative indices, trunk measurements (waist and hip circumferences and sagittal abdominal diameter) and limb measurements (midupper arm and calf circumferences) and skinfold thickness. The importance of adhering to a defined measurement protocol, checking measurement error and the need to interpret measurements using appropriate population-specific cut-off values to identify health risks were identified. Selecting the optimum method of assessing body composition using anthropometry depends on the purpose, i.e. evaluating obesity or undernutrition, and requires practitioners to have a good understanding of both practical and theoretical limitations and to wisely interpret the results.

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“…Body height was measured to the nearest tenth of a kilogram using a digital scale (SECA®, Columbia, USA) and height was measured to the nearest centimetre using a portable stadiometer (SECA®, Hamburg, Germany). For participants whose height was not possible to measure, the hand length was measured using a pocket ruler as an alternative (Guerra et al, 2014). For children with less than two years of age, recumbent length was measured to the nearest 0.1 cm with a measuring rod with large callipers (SECA® 207;Hamburg,Germany).…”

Section: Measurement Of Body Weight and Heightmentioning

confidence: 99%

“…For participants whose height was not possible to measure, the hand length was measured using a pocket ruler as an alternative (Guerra et al, 2014). For children with less than two years of age, recumbent length was measured to the nearest 0.1 cm with a measuring rod with large callipers (SECA® 207; Hamburg, Germany).…”

Section: Measurement Of Body Weight and Heightmentioning

confidence: 99%

National Food, Nutrition and Physical Activity Survey of the Portuguese general population

Lopes

Torres

Oliveira

et al. 2017

EFSA Supporting Publications

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The National Food, Nutrition and Physical Activity Survey of the Portuguese general population aimed to collect nationwide and regional data on dietary intake and physical activity, and their relation with health determinants, namely socioeconomic factors. Results from this project were obtained from a representative sample of the Portuguese population, aged between three months to 84 years of age, selected from the National Heath Registry, by multistage sampling (a sample size of 5068 individuals was estimated and 5811 participants with two dietary assessments were achieved). To accomplish the EFSA requirements, a minimum, of 260 individuals in each age group (130 by sex) was planned. Two face-to-face interviews were conducted at a health care centre or participant's home. Dietary intake was obtained by two non-consecutive days of food diaries for children (<10 years old) and two nonconsecutive 24-hours recalls for the older age groups, with a time interval between 8 and 15 days, complemented with a Food Propensity Questionnaire. An electronic platform based on a client-server architecture was used to manage the field work and to assist the data collection. The Electronic Assessment Tool for 24-hours recall (eAT24) allowed the collection of dietary data by an Automated Multiple-Pass Method for 24-hours. This interview-based dietary assessment instrument allowed obtaining a very detailed description and quantification of foods, recipes, and food supplements consumed in the course of the preceding day, and it had several adaptations, described in detail in this report. The survey outcomes support solid evidence-based information covering all age groups of the population, using harmonized methodologies at the European level, and will contribute to develop a national infrastructure for monitoring progress of specific targets supporting national and European policies and future interventions on diet, physical activity and food safety.

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Hand length as an alternative measurement of height

Abstract: The formulated regression equation using hand length, age and gender provides a valid estimation of height and is useful in the clinical context. PH from this regression equation can be used in BMI calculations as misclassification is small.

Cited by 54 publications

References 26 publications

The Effects of Hemodynamic Changes on Pulse Wave Velocity in Cardiothoracic Surgical Patients

The Effects of Hemodynamic Changes on Pulse Wave Velocity in Cardiothoracic Surgical Patients

Body composition and morphological assessment of nutritional status in adults: a review of anthropometric variables

National Food, Nutrition and Physical Activity Survey of the Portuguese general population

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