Development of new demi-span equations from a nationally representative sample of adults to estimate maximal adult height

The Accuracy of Height Prediction Equations in Greek Patients: A Cross-Sectional Study

In clinical settings, standing height measurement is often difficult to perform due to patients' inability to stand upright. Height prediction equations derived from measurements of the length of other body segments have been published; however, they are not readily applicable to all populations since ethnic differences affect the relationship between standing height and body segment length. This cross-sectional study aimed to examine the accuracy of height prediction using the Malnutrition Universal Screening Tool (MUST) height predictive equations among Greek patients and to develop new, nationally representative equations. The study population consisted of 1198 Greek adult outpatients able to stand upright without assistance and without medical conditions that affected their height. Standing height, ulna length, knee height and demi-span measurements were obtained from 599 males and 599 females. Patients were stratified into age groups of <55 and ≥55 years, <60 and ≥60 years and <65 and ≥65 years according to the categories indicated by the MUST for height prediction from alternative measurements. There were positive correlations between standing height and ulna length and knee height and demi-span length (p < 0.001) in both sexes and all age categories. A strong correlation was observed between the measured and predicted standing height using ulna length (rho = 0.870, p < 0.001), knee height (rho = 0.923, p < 0.001) and demi-span length (rho = 0.906, p < 0.001). The average difference between the MUST indicative equations' height predictions from alternative measurements and actual height was -3.04 (-3.32, -2.76), -1.21 (-1.43, -0.988) and 2.16 (1.92, 2.41), respectively. New height prediction equations for Greek patients were identified, with the predicted values closer to the measured standing heights than those predicted with the MUST indicative equations for height prediction from alternative measurements.

Health-related quality of life and its determinants among patients with hip fracture after surgery in Myanmar

BACKGROUND

Hip fracture has been regarded as a significant international health problem because of its negative impacts on things such as Health-Related Quality of Life (HRQOL). The determinants of HRQOL among patients with hip fracture after surgery during transition of recovery are still not clearly understood.

OBJECTIVE

To study HRQOL factors and determine the predictive power of elements such as age, gender, co-morbid disease, Body Mass Index (BMI), depression or social support on HRQOL among patients with hip fracture after surgery in Myanmar.

DESIGN

Descriptive correlational predictive study.

SETTING

Yangon Orthopaedic Hospital and Mandalay Orthopaedic Hospital in Myanmar.

RESULTS

The mean age was 60 years (range = 18-91). The level of HRQOL at the 6th week after surgery was moderate. In stepwise multiple regression analysis, gender (β = -.109, p = .044), depressive symptoms (β = -.564, p = .000) and social support (β = .287, p = .000) were the determinants of HRQOL. These three factors accounted for 59.1% of variance to explain HRQOL.

CONCLUSION

In order to facilitate a healthy transition, comprehensive rehabilitation, including depressive symptoms screening and enhancing social support, and the health care services with less cost and psychosocial support especially for women, are recommended.

Comparison of three methods for measuring height in rehabilitation inpatients and the impact on body mass index classification: An open prospective study

AIM

To compare standing height, estimated current height and demi-span estimated height and examine their impact on body mass index (BMI) classification.

METHODS

Cross-sectional data was collected on 104 patients admitted to an adult rehabilitation ward and seen by the dietitian. Patient's standing, estimated current height and demi-span estimated height were collected and grouped by age: 19-64 and ≥65 years.

RESULTS

The limits of agreement (95% confidence interval) for estimated current height compared with standing height were +9.9 cm and -7.9 cm, in contrast to +8.7 cm and -14.3 cm for demi-span estimated height. Demi-span underestimated height when compared with standing height in both age groups, 19-64 years: (mean ± SD) 3.0 ± 6.5 cm (P = 0.001, n = 68) and ≥ 65 year age group 4.0 ± 6.0 cm (P < 0.001, n = 36), resulting in a significantly greater mean BMI (analysis of variance P < 0.001, P = 0.02). In the 19-64 and ≥65 year age groups, 3% (2/68) and 10% (4/36) of patients, respectively, had a different BMI classification using demi-span estimated height compared with standing height.

CONCLUSIONS

Estimated current height is a simple and practical alternative if standing height is unable to be obtained when performing a nutrition assessment. Demi-span estimated height should be used with caution when calculating BMI to assess nutritional status, particularly in the elderly.

Physical stature decline and the health status of the elderly population in England

Few research papers in economics have examined the extent, causes or consequences of physical stature decline in aging populations. Using repeated observations on objectively measured data from the English Longitudinal Study of Aging (ELSA), we document that reduction in height is an important phenomenon among respondents aged 50 and over. On average, physical stature decline occurs at an annual rate of between 0.08% and 0.10% for males, and 0.12% and 0.14% for females-which approximately translates into a 2-4 cm reduction in height over the life course. Since height is commonly used as a measure of long-run health, our results demonstrate that failing to take age-related height loss into account substantially overstates the health advantage of older birth cohorts relative to their younger counterparts. We also show that there is an absence of consistent predictors of physical stature decline at the individual level. However, we demonstrate how deteriorating health and reductions in height occur simultaneously. We document that declines in muscle mass and bone density are likely to be the mechanism through which these effects are operating. If this physical stature decline is determined by deteriorating health in adulthood, the coefficient on measured height when used as an input in a typical empirical health production function will be affected by reverse causality. While our analysis details the inherent difficulties associated with measuring height in older populations, we do not find that significant bias arises in typical empirical health production functions from the use of height which has not been adjusted for physical stature decline. Therefore, our results validate the use of height among the population aged over 50.

High degree of BMI misclassification of malnutrition among Swedish elderly population: Age-adjusted height estimation using knee height and demispan

BACKGROUND/OBJECTIVES

The degree of misclassification of obesity and undernutrition among elders owing to inaccurate height measurements is investigated using height predicted by knee height (KH) and demispan equations.

SUBJECTS/METHODS

Cross-sectional investigation was done among a random heterogeneous sample from five municipalities in Southern Sweden from a general population study 'Good Aging in Skåne' (GÅS). The sample comprised two groups: group 1 (KH) including 2839 GÅS baseline participants aged 60-93 years with a valid KH measurement and group 2 (demispan) including 2871 GÅS follow-up examination participants (1573 baseline; 1298 new), aged 60-99 years, with a valid demispan measurement. Participation rate was 80%. Height, weight, KH and demispan were measured. KH and demispan equations were formulated using linear regression analysis among participants aged 60-64 years as reference. Body mass index (BMI) was calculated in kg/m(2).

RESULTS

Undernutrition prevalences in men and women were 3.9 and 8.6% by KH, compared with 2.4 and 5.4% by standard BMI, and more pronounced for all women aged 85+ years (21% vs 11.3%). The corresponding value in women aged 85+ years by demispan was 16.5% vs 10% by standard BMI. Obesity prevalences in men and women were 17.5 and 14.6% by KH, compared with 19.0 and 20.03% by standard BMI. Values among women aged 85+ years were 3.7% vs 10.4% by KH and 6.5% vs 12.7% by demispan compared with the standard.

CONCLUSIONS

There is an age-related misclassification of undernutrition and obesity attributed to inaccurate height estimation among the elderly. This could affect the management of patients at true risk. We therefore propose using KH- and demispan-based formulae to address this issue.

Patient-Specific Model of Arterial Circulation for Surgical Planning of Vascular Access

Purpose

To report the technical aspects of a novel method to generate patient-specific vascular network models of arterial vasculature for the surgical planning of vascular access (VA) for hemodialysis.

Methods

On the basis of literature data, we defined a set of rules for estimation of diameter, length and compliance of arterial network segments, at patient-specific level, as a function of general descriptors (i.e. sex, age, body size and pathology). Using this method we generated vascular network models of height hypothetical patients with different age, sex and body surface area and we computed pressures and blood flows along the arterial arm vasculature using a wave propagation model.

Results

Simulation results show that vascular geometry is influenced by sex, age and body size leading to important differences in hemodynamic function. Calculated wall shear stress is higher in women females as compared to men, regardless of body size and age.

Conclusions

Our method facilitates estimating vascular network model parameters useful for patient-specific pre-operative assessment of blood flow distribution in the arterial arm circulation.