scholarly journals A Quantile Regression Approach to Measuring the Educational Effect on Body Mass Index

2016 ◽  
Vol 5 (3) ◽  
Author(s):  
Dakshina G. De Silva ◽  
Bradley Ewing ◽  
Catherine Slade ◽  
Mark Thompson
Keyword(s):  
Body Mass Index ◽  
Quantile Regression ◽  
Body Mass ◽  
Regression Approach

Association of Weight Control Behaviors with Body Mass Index in Korean Adolescents: A Quantile Regression Approach

2018 ◽  
Vol 40 ◽  
pp. e18-e25 ◽  
Author(s):  
Sun-Mi Chae ◽  
Mi Ja Kim ◽  
Chang Gi Park ◽  
Ji-Young Yeo ◽  
Ji-Hye Hwang ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Quantile Regression ◽  
Body Mass ◽  
Weight Control ◽  
Korean Adolescents ◽  
Weight Control Behaviors ◽  
Regression Approach

scholarly journals Profiles of Accelerometry-Derived Physical Activity Are Related to Perceived Physical Fatigability in Older Adults

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1718
Author(s):  
Jessica L. Graves ◽  
Yujia (Susanna) Qiao ◽  
Kyle D. Moored ◽  
Robert M. Boudreau ◽  
Elizabeth M. Venditti ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Body Mass Index ◽  
Quantile Regression ◽  
Body Mass ◽  
Clustering Algorithm ◽  
Activity Rhythm ◽  
Standard Deviations ◽  
Depression Symptomatology ◽  
Rest Activity

Physical activity (PA) is associated with greater fatigability in older adults; little is known about magnitude, shape, timing and variability of the entire 24-h rest–activity rhythm (RAR) associated with fatigability. We identified which features of the 24-h RAR pattern were independently and jointly associated with greater perceived physical fatigability (Pittsburgh Fatigability Scale, PFS, 0–50) in older adults (n = 181, 71.3 ± 6.7 years). RARs were characterized using anti-logistic extended cosine models and 4-h intervals of PA means and standard deviations across days. A K-means clustering algorithm approach identified four profiles of RAR features: “Less Active/Robust”, “Earlier Risers”, “More Active/Robust” and “Later RAR”. Quantile regression tested associations of each RAR feature/profile on median PFS adjusted for age, sex, race, body mass index and depression symptomatology. Later rise times (up mesor; β = 1.38, p = 0.01) and timing of midpoint of activity (acrophase; β = 1.29, p = 0.01) were associated with higher PFS scores. Lower PA between 4 a.m. and 8 a.m. was associated with higher PFS scores (β = −4.50, p = 0.03). “Less Active/Robust” (β = 6.14, p = 0.01) and “Later RAR” (β = 3.53, p = 0.01) patterns were associated with higher PFS scores compared to “Earlier Risers”. Greater physical fatigability in older adults was associated with dampened, more variable, and later RARs. This work can guide development of interventions aimed at modifying RARs to reduce fatigability in older adults.

scholarly journals Decomposition of Gender Differences in Body Mass Index in Saudi Arabia using Unconditional Quantile Regression: Analysis of National-Level Survey Data

2020 ◽  
Vol 17 (7) ◽  
pp. 2330 ◽  
Author(s):  
Mohammed Khaled Al-Hanawi ◽  
Gowokani Chijere Chirwa ◽  
Tony Mwenda Kamninga
Keyword(s):  
Body Mass Index ◽  
Gender Differences ◽  
Saudi Arabia ◽  
Quantile Regression ◽  
Body Mass ◽  
National Level ◽  
Sporting Events ◽  
Gender Differentials ◽  
Unconditional Quantile Regression ◽  
Soda Consumption

Understanding gender differences in body mass index (BMI) between males and females has been much debated and received considerable attention. This study aims to decompose gender differentials in the BMI of people of the Kingdom of Saudi Arabia. The study decomposed the BMI gender gap into its associated factors across the entire BMI distribution by using counterfactual regression methods. The main method of analysis was newly developed unconditional quantile regression-based decomposition, which applied Blinder–Oaxaca decomposition using data from the Saudi Health Interview Survey. Gender differentials were found in the BMI, with females showing a higher BMI than males. The aggregate decomposition showed that both the covariate effect and the structural effect were significant at the 25th and 50th quantiles. Detailed decomposition indicated that income level and employment status as well as soda consumption and the consumption of red meat were significantly correlated in explaining gender differentials in BMI across various quantiles, but the magnitude varied by quantile. Our study suggests the government should consider introducing programs that specifically target women to help them reduce BMI. These programs could include organizing sporting events at the workplace and at the national level. Furthermore, the effect of soda consumption could be reduced by levying a tax on beverages, which might reduce the demand for soda due to the increased price.

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