Observational studyObesity (Silver Spring, Md.)2014
Use of quantile regression to investigate the longitudinal association between physical activity and body mass index.
Observational study in Obesity (Silver Spring, Md.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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Who cites it
34 citing papers in PubMed.
- Association between maternal interpregnancy interval after live birth or pregnancy termination and birth weight: a quantile regression analysis.Scientific reports · 2018Trial
- Food Away From Home and Body Mass Index: Insights From a Quantile Regression Analysis of NHANES 2011-2020.BioMed research international · 2026Article
- Quantile Regression in Epidemiology: Capturing Heterogeneity Beyond the Mean.Methods and protocols · 2025Article
- Performance of quantile regression methods with discrete outcomes: A simulation study with applications to environmental epidemiology.Environmental epidemiology (Philadelphia, Pa.) · 2025Article
- Article
- Quantile regression based method for characterizing risk-specific behavioral patterns in relation to longitudinal left-censored biomarker data collected from heterogeneous populations.Journal of applied statistics · 2025Article
- Genetic Variants Associated with Body Mass Index Changes in Korean Adults: The Anseong and Ansan Cohorts of the Korean Genome and Epidemiology Study.Current issues in molecular biology · 2024Article
- Adjusting for bias due to measurement error in functional quantile regression models with error-prone functional and scalar covariates.Biostatistics & epidemiology · 2024Article
- A pragmatic multi-setting healthy lifestyle intervention to improve BMI status in a middle-income population: A potential strategy for individuals at risk.Health promotion perspectives · 2024Article
- Modeling approaches for assessing device-based measures of energy expenditure in school-based studies of body weight status.Frontiers in applied mathematics and statistics · 2024Article
- Genetic susceptibility to airway inflammation and exposure to short-term outdoor air pollution.Environmental health : a global access science source · 2023Article
- The temporal relationship of alcohol use and subsequent self-reported health status among people with HIV.American journal of medicine open · 2023Article
- Antibodies against Periodontal Microorganisms and Cognition in Older Adults.JDR clinical and translational research · 2023Article
- Estimation of sparse functional quantile regression with measurement error: a SIMEX approach.Biostatistics (Oxford, England) · 2022Article
- Quantile Differences in the Age-Related Decline in Cardiorespiratory Fitness Between Sexes in Adults Without Type 2 Diabetes Mellitus in the United States.Mayo Clinic proceedings. Innovations, quality & outcomes · 2022Article
- Examining the impacts of neighborhood poverty on bodyweight across the BMI distribution: a quantile and MSM modeling approach.Annals of epidemiology · 2021Article
- Association between maternal iron supplementation and newborn birth weight: a quantile regression analysis.Italian journal of pediatrics · 2021Article
- Differential relationships between waist circumference and cardiorespiratory fitness among people with and without type 2 diabetes.Preventive medicine reports · 2020Article
- The association between physical activity and body fat percentage with adjustment for body mass index among middle-aged adults: China health and nutrition survey in 2015.BMC public health · 2020Article
- Tactile information counteracts the attenuation of rubber hand illusion attributable to increased visuo-proprioceptive divergence.PloS one · 2020Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
objectiveTo examine associations among age, physical activity (PA), and birth cohort on body mass index (BMI) percentiles in men.
methodsLongitudinal analyses using quantile regression were conducted among men with ≥ two examinations between 1970 and 2006 from the Aerobics Center Longitudinal Study (n = 17,759). Height and weight were measured; men reported their PA and were categorized as inactive, moderately, or highly active at each visit. Analyses allowed for longitudinal changes in PA.
resultsBMI was greater in older than younger men and in those born in 1960 than those born in 1940. Inactive men gained weight significantly more rapidly than active men. At the 10th percentile, increases in BMI among inactive, moderately active, and highly active men were 0.092, 0.078, and 0.069 kg/m(2) per year of age, respectively. The 10th percentile increased by 0.081 kg/m(2) per birth year and by 0.180 kg/m(2) at the 90th percentile, controlling for age.
conclusionAlthough BMI increased with age, PA reduced the magnitude of the gradient among active compared to inactive men. Regular PA had an important, protective effect against weight gain. This study provides evidence of the utility of quantile regression to examine the specific causes of the obesity epidemic.
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