Comparison of Methods to Measure Height in Older Adults

Gordon, Sheryl A.; Fredman, Lisa; Orwig, Denise; Alley, Dawn E.

doi:10.1111/jgs.12572

Cited by 5 publications

(4 citation statements)

References 11 publications

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“…Secondly, physical activity was not measured objectively, such as using an accelerometer, and sedentary leisure time activities as well as sleep habits were not measured either. Thirdly, height was measured using a stadiometer, which is the established gold standard, but this assessment may not be feasible for studies conducted in elderly populations with mobility limitations [ 57 ]. Fourthly, the macronutrient intake was estimated using recall diets instead of food frequency questionnaires that have been questioned in epidemiological studies [ 58 , 59 ].…”

Section: Discussionmentioning

confidence: 99%

Association between Physical Condition and Body Composition, Nutrient Intake, Sociodemographic Characteristics, and Lifestyle Habits in Older Spanish Adults

et al. 2018

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In this study, we assessed physical condition and its association with body composition, nutrient intake, sociodemographic characteristics, and lifestyle habits in older Spanish adults. In this cross-sectional study, we investigated 380 individuals (54% women; men aged 55–80 years and women aged 60–80 years) with no previously documented cardiovascular disease. A general questionnaire was used, and body weight, height, fat, appendicular skeletal muscle mass, and waist circumference were assessed. Physical condition measurements included handgrip strength (HGS) and agility/dynamic balance by eight-foot time up-and-go (8-f TUG) test. The lowest maximum HGS score (kg) was found in older participants, inactive men, and men with abdominal obesity. The highest maximum 8-f TUG score (s) was found in older and inactive, low education, low income, and abdominal obesity and overfat participants; 24.5% of participants had low maximum HGS and 36.8% had a high 8-f TUG score. Sex- and/or age-adjusted odds ratio (OR) for low maximum HGS in women, older participants, overweight and overfat participants were 4.6, 2.9, 0.6 and 0.6 respectively. Sex and/or age adjusted OR for high maximum 8-f TUG in women, overweight, overfat, and abdominally obese participants were 2.4, 1.6, 1.7, and 3.4, respectively; in participants with higher education, those who earned €900 or more per month, and slightly active and active participants had OR values of 0.4, 0.4, and 0.3, respectively. Sarcopenia incidence was 0.3%; however, 4.5% of men and 19.1% of women registered low physical condition (high and low scores in 8-f TUG and HGS tests, respectively). Overall, 36.8%, 24.5%, and 0.3% of participants had high maximum 8-f TUG score, low maximum HGS, and sarcopenia, respectively. Prevalence of these low values varies according to sociodemographic and body composition variables.

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Section: Discussionmentioning

confidence: 99%

Association between Physical Condition and Body Composition, Nutrient Intake, Sociodemographic Characteristics, and Lifestyle Habits in Older Spanish Adults

et al. 2018

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“…Both WHR and BMI correlate, for example, with age‐related macular degeneration (e.g., Seddon, Cote, Davis, & Rosner, 2003). To secure inter‐individual comparability, a portable stadiometer is recommended: these can be folded up and guarantee a uniformity of measurement across subjects: see e.g., Gordon, Fredman, Orwig, and Alley (2013, p. 2244) for the stadiometer being the ‘golden standard’ to measure height. The costs of a portable stadiometer are relatively low.…”

Section: Establishing Biomarkersmentioning

confidence: 99%

The coming of age: How do linguists tease apart chronological, biological and social age?

Hejná

Jespersen

2021

Language and Linguist. Compass

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Age is one of the key variables in the field of language variation and change (LVC). The vast majority of experimental work generally views a speaker's date of birth—chronological age—as a good reflection of both their social age, for example, which generation they identify with and how strongly and their biological age, that is, the physiological age of their body. This paper aims to provide the reader with tools to tease apart these three ways of conceptualising the variable of age. It reviews qualitative and quantitative methods from fields adjacent to LVC that will enable linguists of different theoretical interests to tap into biological and social aspects of ageing. In doing so, it provides a practical manual for linguists wishing to work from a more multifaceted understanding of one of the key variables in many linguistic subfields.

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“…As the study progressed, pragmatic solutions that were negotiated included taking a participant’s height against a doorpost with a tape measure (doorposts provided support for those with poor balance and were more readily accessible than wall space) ( n = 13) [ 17 ]. If the participants were bed-bound, recumbent length measurements ( n = 5) were attempted, but this requires someone else to assist and the participant to lie flat, which may be contraindicated due to the weight on their chest compromising breathing.…”

Section: Discussionmentioning

confidence: 99%

Challenges in obtaining accurate anthropometric measures for adults with severe obesity: A community-based study

Williamson

Blane

Lean

2022

Scand J Public Health

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Aims The number of people with severe obesity (BMI ⩾40 kg/m2) is increasing rapidly, but is poorly documented, partly as a result of inappropriate standard anthropometric measurement methods for community-based people. Methods As part of a broader study, people receiving care services and with severe obesity were visited at home. The people were assessed for measurements using different weighing scales and a standard portable stadiometer. If the stadiometer could not be used, their half arm span and knee height were measured to estimate their height using standard predictive equations. Results Measurements were taken for 15 women and 10 men ( n = 25) aged 40–87 years (mean 62 years). Weights ranged from 98.4 to 211.8 kg (mean 150 kg), with 16 participants requiring bariatric scales. For the six people who were unable to stand, we used wheelchair scales ( n = 1), bed weighing scales ( n = 2), routine weights from care home records ( n = 2) or weight data from hospital records ( n = 1). The standard portable stadiometer could only be used for one person; the others required alternative measures from which to estimate height. Large body habitus obscured bony landmarks, meaning alternative measures gave diverse heights. Fourteen participants had a ⩾8 cm difference in height between estimates from half arm span and knee height measurements. Conclusions Standard practice commonly does not provide reliable measurements for people with severe obesity, particularly those with mobility difficulties. An inability to measure weight and height accurately can exclude people from appropriate care, obscuring the true numbers affected and the effectiveness of future service planning. Safe community care requires the availability of specialist scales and standardised methods for height estimation appropriate for older and disabled people with severe obesity.

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Comparison of Methods to Measure Height in Older Adults

Cited by 5 publications

References 11 publications

Association between Physical Condition and Body Composition, Nutrient Intake, Sociodemographic Characteristics, and Lifestyle Habits in Older Spanish Adults

Association between Physical Condition and Body Composition, Nutrient Intake, Sociodemographic Characteristics, and Lifestyle Habits in Older Spanish Adults

The coming of age: How do linguists tease apart chronological, biological and social age?

Challenges in obtaining accurate anthropometric measures for adults with severe obesity: A community-based study

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