Comparison of Perceived Weight as Ideal Against Ideal Body Weight Formulas and Body Mass Index of 22 Kg/M2 in Young Adult Women.

López, Erik Ramírez; Hernández, Debbie Puente; López, Nohemí Liliana Negrete; Serna-Gutiérrez, Araceli; Ramos, Zuli Calderón; Omaña-Covarrubias, Arianna; Flores-Guillén, Elena; Tijerina-Sáenz, Alexandra

doi:10.29105/respyn17.1-2

Cited by 3 publications

(3 citation statements)

References 18 publications

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“…The average BMI of 24.9 among the evaluated workers (Table 6), considered ideal by the World Health Organization (LÓPEZ et al, 2018), can be explained by the intense energy expenditure associated with the demanding physical activities of the profession. The muscular and cardiovascular effort involved in forestry work contributes to calorie burning and muscle development, positively influencing BMI.…”

Section: Profile and Working Conditionsmentioning

confidence: 99%

Semi-mechanized wood harvesting: what are the ergonomic gaps in these workstations?

Menezes,

Fiedler,

Rodrigues

et al. 2024

CLCS

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Semi-mechanized wood harvesting is feasible for ventures with limited financial resources; however, it entails significant occupational risks for operators. Therefore, the objective of this study was to conduct an ergonomic analysis of semi-mechanized wood harvesting, correlating variables in an integrated manner with their intervention requirements. Hence, physical workload, hand and arm vibration, thermal comfort, noise, and illuminance were assessed during semi-mechanized cutting and manual wood extraction. Subsequently, a color-coded system was established to indicate the need for ergonomic intervention. Operators had an average age of 30 years and a Body Mass Index of 24.9. The manual extraction phase exhibited higher values for cardiovascular workload (> 40%), Maximum Heart Rate (194 bpm), and Average Partial Exposure (12.5 m. s-1) compared to the cutting phase. The average thermal comfort index recorded at the start of the work shift was 18.9 °C. Noise exposure levels during cutting surpassed regulated limits. Illuminance levels throughout the work shift averaged 22,701 lux. Consequently, it is concluded that both semi-mechanized harvesting and manual extraction require urgent ergonomic intervention in at least one variable. The use of personal protective equipment, implementation of controlled breaks, and replacement of machinery with more modern equipment are recommended.

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Section: Profile and Working Conditionsmentioning

confidence: 99%

Semi-mechanized wood harvesting: what are the ergonomic gaps in these workstations?

Menezes,

Fiedler,

Rodrigues

et al. 2024

CLCS

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show abstract

“…Ramirez López Erik and his coworkers compare the perceived ideal body weight (PIBW) with the calculated IBW by formulas and the BMI of 22. They have obtained that the IBW formulas and BMI of 22 does not necessarily represent a desirable or aesthetic weight (Erik et al, 2018).…”

Section: Literature Reviewmentioning

confidence: 99%

“…For females, the standard weight is 10% less than that of male. For example, a female of 163 cm tall will have a standard weight of 63 × 0.9 = 56.7 kg (Erik et al, 2018). Obesity occurs when the weight is 20% in excess of BI value that gives a normal Broca weight within the BMI range of 20 to 25 (James et al, 1998).…”

Section: Bi Formulamentioning

confidence: 99%

Broca Index: A Simple Tool to Measure Ideal Body Weight

Mohajan

2023

IST

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Proper measure of ideal body weight (IBW) is necessary in medical science. According to physicians, IBW is related to the lowest morbidity and mortality. Broca Index (BI) is a simple and effective tool to measure IBW; and general physicians, nutritionists, and Life Insurance Companies can use it confidently. In this mini review aspects of Broca Index (BI) are discussed for the calculation of ideal body weight (IBW) of health conscious people.

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Fat Mass Index (FMI) as a Trustworthy Overweight and Obesity Marker in Mexican Pediatric Population

Alpizar¹,

Frydman²,

Reséndiz-Rojas³

et al. 2020

Children

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Predictive formulas to estimate body composition in children have been explored for some time, to this date, the most accurate obesity diagnostic tool is to determine fat mass. The aim of this study is to establish cutoff points that allow for a precise interpretation of nutritional status using the Fat Mass Index (FMI) in a Mexican pediatric population. A literature review using PubMed and Cochrane databases was made, searching for research articles on childhood obesity that compared BMI, FM percentage, and FMI, as well as those proposing diagnostic cutoff points. Mathematic formulas and linear regressions were then used to make a proposal on accurate cutoff points for this population. Our findings show that FM percentage is less precise than BMI and FMI in diagnosing obesity, and FMI seems to be a more complete tool for assessment as it differentiates fat and muscle mass of the total body weight. Both BMI and FMI should be considered when clinical evaluations regarding weight, with BMI complementing FMI by establishing fat-free mass. Our proposed cutoff points need to be validated in this population.

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Comparison of Perceived Weight as Ideal Against Ideal Body Weight Formulas and Body Mass Index of 22 Kg/M2 in Young Adult Women.

Cited by 3 publications

References 18 publications

Semi-mechanized wood harvesting: what are the ergonomic gaps in these workstations?

Semi-mechanized wood harvesting: what are the ergonomic gaps in these workstations?

Broca Index: A Simple Tool to Measure Ideal Body Weight

Fat Mass Index (FMI) as a Trustworthy Overweight and Obesity Marker in Mexican Pediatric Population

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