ArticleSultan Qaboos University medical journal2010
Optimum anthropometric criteria for ideal body composition related fitness.
Article in Sultan Qaboos University medical journal, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03779737 (Muscular Strength and Aerobic Capacity, a Symbiotic Relationship With Birth Weight and Metabolic Risk of Colombian Scholchildren), which is not on this map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Muscular Strength and Aerobic Capacity, a Symbiotic Relationship With Birth Weight and Metabolic Risk of Colombian Scholchildren: Study SIMAC
Who cites it
5 citing papers in PubMed.
- Association between obesity and anemia in an nationally representative sample of United States adults: a cross-sectional study.Frontiers in nutrition · 2024Article
- Association of nutrition knowledge, practice, supplement use, and nutrient intake with strength performance among Taekwondo players in Nepal.Frontiers in nutrition · 2022Article
- Overweight and Obesity, Body Fat, Waist Circumference, and Anemia in Peruvian University Students: A Cross-Sectional Study.Journal of nutrition and metabolism · 2021Article
- Lifestyle Habits: Diet, physical activity and sleep duration among Omani adolescents.Sultan Qaboos University medical journal · 2013Article
- Trends of Obesity and Overweight among College Students in Oman: A cross sectional study.Sultan Qaboos University medical journal · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThe three aims of this study were to establish equations for ideal body composition related fitness to be used by adults willing to gain optimum body composition related fitness; to predict the possible symmetrical major muscle circumference, and to compute the ideal body fat percentage (BFP) with ideal body weight (IBW) based on the body mass index (BMI).
methodsTwenty-four athletes were intentionally selected, with heights of 166-190 cm and aged 20-42 years, according to a judging committee that used modified International Fitness Federation criteria for the Mr. Fitness competition "super body category". Common anthropometric and body composition measurements were taken for the following independent variables: body height, upper limb length, lower limb length, thigh length, arm length, shoulder width, forearm length, shank length, and wrist girth; and for the following dependent variables: circumferences of shoulder, thigh, waist, hip, chest, biceps, forearm, shank, and neck. Skin fold thickness was measured at three sites by a Harpenden caliper to calculate BFP.
resultsThe findings indicate that there was a predictive correlation between major independent variables and body circumferences. The mean range used to find out the ideal BFP percentage which was 5.6-6.7 %. The BMI equation used to find the IBW was H2 × 23.77 ± 2 SE. Stepwise multiple regressions were also used to derive predictive equations. The most predictive independent variables were wrist girth and height.
conclusionIt is suggested that the above equations, the ideal BFP percentage and the IBW be used as criteria in training sessions to achieve ideal body composition related fitness.
Indexed as
Identifiers
21509084PMC3074666What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.