Dataset Information

Growth Charts for Muscular Strength Capacity With Quantile Regression.

ABSTRACT: INTRODUCTION:Muscle strength preservation may play an important role in protecting against cardiometabolic diseases, functional decline, musculoskeletal deterioration, and early all-cause mortality. However, sex-specific strength growth charts and curves using data from a U.S.-representative sample and clinically feasible measurement remain to be established. METHODS:A sample of 7,119 individuals, aged 6-80 years, was included from the 2011-2012 National Health and Nutrition Examination Survey. Analyses were performed in 2015. Grip strength was assessed using a hydraulic handheld dynamometer; peak force values were normalized per body mass. Parametric quantile regression was used to determine unique normalized and absolute strength percentiles for men and women. Responses were fitted with a parametric model, involving six powers of age. RESULTS:Growth charts and curves were created using output from the quantile regression from reference values of normalized and absolute grip strength corresponding to the fifth, tenth, 25th, 50th, 75th, 90th, and 95th percentiles across all ages. For men, there was a small drop in normalized strength at age 6 years followed by quick growth until about age 25 years. Among women, normalized strength grew gradually until about age 15 years. For both men and women, normalized strength declined throughout middle age and later adulthood; however, these rates were greater among men. More-pronounced patterns of growth and decline were observed for absolute strength in men and women. CONCLUSIONS:The established strength quantiles can easily be incorporated into a clinical setting for screening individuals that would benefit from lifestyle interventions to improve muscular fitness and reduce health risks.

SUBMITTER: Peterson MD

PROVIDER: S-EPMC4656076 | biostudies-literature | 2015 Dec

REPOSITORIES: biostudies-literature

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Growth Charts for Muscular Strength Capacity With Quantile Regression.

Peterson Mark D MD Krishnan Chandramouli C

American journal of preventive medicine 20150729 6

<h4>Introduction</h4>Muscle strength preservation may play an important role in protecting against cardiometabolic diseases, functional decline, musculoskeletal deterioration, and early all-cause mortality. However, sex-specific strength growth charts and curves using data from a U.S.-representative sample and clinically feasible measurement remain to be established.<h4>Methods</h4>A sample of 7,119 individuals, aged 6-80 years, was included from the 2011-2012 National Health and Nutrition Exami ...[more]

PMID: 26232900

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Project description:BackgroundObesity leads to other fatal diseases like diabetes, cardiovascular diseases, depression, and some forms of cancer. Still, the well-known tool to measure obesity is the body mass index. But it usually failed in the measurement of adipose tissues. So, we present a novel anthropometric measure, called body shape and size index which is developed by the combination of major anthropometric determinants: body surface area, body mass index, weight, and height.MethodsThis study is based on cross-sectional data consisting of 7224 individuals that were taken from the city Multan, Punjab, Pakistan. All the individuals, both males, and females, of age 2 years and above were included in the study except the pregnant women. The variables included in this study are gender, area (urban and rural), age (years), weight (kg), and height (meters). Growth charts of quantile regression are used for the inferential analysis of data. Comparison of proposed body shape and size index at different obesity levels has also been made to access the relationship of proposed body shape and size index with obesity.ResultsThe results show that the proposed body shape and size index has a great association with body surface area, body mass index, weight, height, and age. The proposed body shape and size index has a high negative association with body surface area, moderate negative association with body mass index and weight, and low negative association with height and age. According to growth charts of body shape and size index, after the age of 25 years, body shape and size index curves go upward while it smoothly goes downward at the age of 50 years but decreases in earlier ages. Body shape and size index showed a significant association with body shape and body size (body development) at the same time.ConclusionBody shape and size index is found, generally linear with age, and increased with decreasing body mass index and body surface area. The proposed index has an indirect relationship with obesity. Body shape and size index with low values indicates a high risk of obesity. While, however, body shape and size index with high values indicates a low risk of obesity. Applications of the proposed body shape and size index are also presented in statistical modeling.

Dataset Information

Growth Charts for Muscular Strength Capacity With Quantile Regression.

Publications

Growth Charts for Muscular Strength Capacity With Quantile Regression.

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