Weight and height percentiles calculated by the LMS method in Argentinean schoolchildren. A comparative references study

Oyhenart, Evelia Edith; Lomaglio, Delia Beatriz; Dahinten, Silvia Lucrecia; Bejarano, Ignacio; Herráez, Ángel; Cesani, María Florencia; Torres, María Fernanda; Luis, María Antonia; Quintero, Fabián Aníbal; Alfaro, Emma; Orden, Alicia Bibiana; Sanchís, María Laura Bergel; Espinosa, Marisa González Montero de; Garraza, Mariela; Luna, María Eugenia; Forte, Luis María; Mesa, Marı́a Soledad; Romero, Susana Moreno; López‐Ejeda, Noemí; Dipierri, José Edgardo; Marrodán, María Dolores

doi:10.3109/03014460.2014.968207

Cited by 8 publications

(14 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Voytenko [11]. Physical activity was found with the help of questionnaire IPAQ [35]. Besides, questioning and anthropometrical measurements were fulfilled by M. Ya.…”

Section: Methodsmentioning

confidence: 99%

The problems of students’ physical training individualization

Druz

Єрмаков

Nosko

et al. 2017

PPS

View full text Add to dashboard Cite

to assess physical health and biological age of 1st 2nd year girl students, depending on their physical activity, as well as to work out system of control over students' health. Material: in the research 1st and 2nd year girl students (n=120) participated. Results: students' busy in their working day was analyzed as well as student's understanding of healthy life style during working day. We also paid attention to reasons of sharp weakening of students' physical fitness and determined integral indicator of healthy life style conception as well as significance of every its component. The following concepts are introduced: physical health, including individual level of physical condition; physical fitness and physical state. We found normal level for every component of physical health and correlation between population, regional and individual norms. Conclusions: For students' healthy life style formation it is necessary to observe norm requirements to all its components. Violation of any component's norm results in worsening general final result.

show abstract

“…Voytenko [11]. Physical activity was found with the help of questionnaire IPAQ [35]. Besides, questioning and anthropometrical measurements were fulfilled by M. Ya.…”

Section: Methodsmentioning

confidence: 99%

The problems of students’ physical training individualization

Druz

Єрмаков

Nosko

et al. 2017

PPS

View full text Add to dashboard Cite

show abstract

“…Next, we calculated the reference curves of these regional FMI and LMI values using a LMS curve fitting method (lmsChartMaker Pro Version 2.54) [30,31]. LMS is a mathematical method to produce reference curves for measures that corrects for skewed data by generating an “L” (power), “M” (Median), and “S” (Coefficient of Variation) curve across ages of interest.…”

Section: Methodsmentioning

confidence: 99%

“…LMS is a mathematical method to produce reference curves for measures that corrects for skewed data by generating an “L” (power), “M” (Median), and “S” (Coefficient of Variation) curve across ages of interest. It has been used in the past to calculate reference curves and centiles for height, BMI, and total FMI and LMI [26,31–33]. This method produces Z-scores via the following equation [19]: The centile curves of y (measure of interest) for a given t (age) are modeled by: …”

Section: Methodsmentioning

confidence: 99%

Dual energy X-ray absorptiometry body composition reference values of limbs and trunk from NHANES 1999–2004 with additional visualization methods

Hinton

Fan

et al. 2017

PLoS ONE

View full text Add to dashboard Cite

Body Mass Index has traditionally been used as a measure of health, but Fat Mass Index (FMI) and Lean Mass Index (LMI) have been shown to be more predictive of mortality and health risk. Total body FMI and LMI reference curves have particularly been useful in quantifying sarcopenia and sarcopenic obesity. Research has shown regional composition has significant associations to health outcomes. We derived FMI and LMI reference curves of the regions of the body (leg, arm, and trunk) for 15,908 individuals in the 1999–2004 National Health and Nutrition Examination Survey data for each sex and ethnicity using the Lambda-Mu-Sigma (LMS) method and developed software to visualize this regional composition. These reference curves displayed differentiation between males and females during puberty and sharper limb LMI declines during late adulthood for males. For adults ages 30–50, females had 39%, 83%, and 47% larger arm, leg, and trunk FMI values than males, respectively. Males had 49%, 20%, and 15% higher regional LMI values than females for the arms, legs, and trunk respectively. The leg FMI and LMI of black females were 14% and 15% higher respectively than those of Hispanic and white females. White and Hispanic males had 37% higher trunk FMI values than black males. Hispanic females had 20% higher trunk FMI than white and black females. These data underscore the importance of accounting for sex and ethnicity in studies of regional composition. This study is the first to produce regional LMI and FMI reference tables and curves from the NHANES dataset. These reference curves provide a framework useful in studies and research involving sarcopenia, obesity, sarcopenic obesity, and other studies of compositional phenotypes. Further, the software tool we provide for visualizing regional composition will prove useful in monitoring progress in physical therapy, diets, or other attempts to attain healthier compositions.

show abstract

“…Choosing appropriate references is not trivial [53]. A specific need for national references has been expressed by many authors, recently, e.g., for Argentinean children [54]. Particularly low- and middle-income countries facing poor financial resources can barely afford large population-based growth studies.…”

Section: National Growth Chartsmentioning

confidence: 99%

How Much Nutrition for How Much Growth?

Hermanussen¹,

Wit²

2016

Horm Res Paediatr

View full text Add to dashboard Cite

Background/Aims: Increasing agreement exists about the use of length-for-age as the indicator of choice in monitoring the long-term impact of chronic nutritional deficiency. Yet, already shortly after World War I, a causal link between nutrition and growth was questioned. Also, modern meta-analyses of controlled nutrition intervention studies show that the net effect of nutrition on body height is small. Broad evidence obtained from historic observations on human starvation made since the 19th century questions an obligatory association between nutrition and growth. Many additional explanations for the apparent shortness of people from developing countries have been published since, focusing on genetic factors, environment, economy, epigenetics, and, recently, psychosocial factors, such as strategic growth adjustments suggesting stature to be a social signal. Conclusion: The marked variability in average population height of up to 20 cm within a few generations complicates the use of normative growth charts, even though they have been widely propagated. We support the concept of local growth references, for example using the “Synthetic Growth References” methodology. These references combine local growth information obtained from a given population of interest and common features of human population growth, with LMS values for height, weight, and BMI from birth to maturity.

show abstract

Weight and height percentiles calculated by the LMS method in Argentinean schoolchildren. A comparative references study

Cited by 8 publications

References 13 publications

The problems of students’ physical training individualization

The problems of students’ physical training individualization

Dual energy X-ray absorptiometry body composition reference values of limbs and trunk from NHANES 1999–2004 with additional visualization methods

How Much Nutrition for How Much Growth?

Contact Info

Product

Resources

About