scholarly journals Better Dietary Knowledge and Socioeconomic Status (SES), Better Body Mass Index? Evidence from China—An Unconditional Quantile Regression Approach

Nutrients ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 1197 ◽  
Author(s):  
Jie Yu ◽  
Xiao Han ◽  
Hongxing Wen ◽  
Jinzheng Ren ◽  
Lihong Qi
Keyword(s):  
Body Mass Index ◽  
Socioeconomic Status ◽  
Quantile Regression ◽  
Body Mass ◽  
Inverse Association ◽  
Nutrition Survey ◽  
Dietary Knowledge ◽  
Unconditional Quantile Regression ◽  
Heterogeneous Nature ◽  
The Relationship

Obesity is a rapidly growing public health threat in China. Improvement of dietary knowledge may potentially reduce the risk of obesity and being overweight. However, existing studies focus on measuring the mean effects of nutrition knowledge on body mass index (BMI). There is a lack of literature on the effect of dietary knowledge on BMI, and the potential heterogeneity of the effect across the whole BMI distribution and across socioeconomic status (SES) groups. This study aims to investigate the heterogeneous nature of the relationship between dietary knowledge, SES, and BMI, using data from the China Health and Nutrition Survey (CHNS) in 2015. We employed unconditional quantile regression (UQR) to assess how the relationship between dietary knowledge, SES, and BMI varies across the whole BMI distribution, and conducted subgroup analyses using different socio-economic subsamples. Results indicate that dietary knowledge had no statistically significant impact on BMI across the BMI distribution. There was a large degree of heterogeneity in the SES effect across the BMI distribution as well as a major gender difference in the SES effect on BMI. Education had a significant and inverse association with BMI across the BMI distribution, greater at higher BMI quantiles. Income growth had a larger effect on the 50th quantile of BMI for males in the middle-income group, but was not significant for females. As income increased, males without college educations had higher BMI while females with college or higher education generally had lower BMI. The findings of this study reveal the heterogeneous nature of the relationship between SES, gender, and obesity across the entire BMI distribution, suggesting that quantile regressions might offer a valuable framework for exploring the complex relationship of dietary knowledge, demographic, and socio-economic factors on obesity.

scholarly journals Seventeen-Year Changes in Body Mass Index, Waist Circumference, Elevated Blood Pressure, and Diabetes Phenotypes in a Cohort of Filipino Women

2018 ◽  
Vol 30 (6) ◽  
pp. 561-571 ◽  
Author(s):  
Linda S. Adair ◽  
Christopher Kuzawa ◽  
Thomas McDade ◽  
Delia B. Carba ◽  
Judith B. Borja
Keyword(s):  
Blood Pressure ◽  
Body Mass Index ◽  
Socioeconomic Status ◽  
Waist Circumference ◽  
Body Mass ◽  
The Philippines ◽  
Secular Trends ◽  
Elevated Blood Pressure ◽  
Elevated Blood ◽  
Nutrition Survey

Obesity, hypertension, and diabetes have risen dramatically in Asia, but few cohort studies track age and secular trends in these conditions. We use Cebu (The Philippines) Longitudinal Health and Nutrition survey data to document 1998 to 2015 prevalence and co-occurrence of body mass index (BMI; >25 kg/m2), high waist circumference (WC; >80 cm), elevated blood pressure (EBP; systolic ⩾130 or diastolic ⩾85 mm Hg), and type 2 diabetes among ~2000 women aged 29 to 62 years in 1998; and identify their relationship to community, household, and individual factors using longitudinal logistic regression. Prevalence (1998-2015) rates were 35% to 49%, BMI >25 kg/m2; 32% to 58% high WC; 21% to 59% EBP; and 2% to 14% diabetes. Only 20% of women had none of these conditions in 2015. Diabetes was strongly driven by age and secular trends in high WC related to higher socioeconomic status and urbanization. Hypertension increased with age in lower socioeconomic status rural and more affluent urban women. Results underscore the continuing need for public health measures to prevent obesity and to identify and treat hypertension and diabetes.

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.

The Relationship of Socioeconomic Status with Body Mass Index Depends on the Socioeconomic Measure Used

Obesity ◽  
2017 ◽  
Vol 26 (1) ◽  
pp. 176-184 ◽  
Author(s):  
Ana Basto-Abreu ◽  
Tonatiuh Barrientos-Gutiérrez ◽  
Rodrigo Zepeda-Tello ◽  
Vanessa Camacho ◽  
David Gimeno Ruiz de Porras ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Socioeconomic Status ◽  
Body Mass ◽  
Relationship Of ◽  
The Relationship

scholarly journals The Relationship of School Absenteeism With Body Mass Index, Academic Achievement, and Socioeconomic Status Among Fourth-Grade Children

2011 ◽  
Vol 81 (7) ◽  
pp. 417-423 ◽  
Author(s):  
Suzanne D. Baxter ◽  
Julie A. Royer ◽  
James W. Hardin ◽  
Caroline H. Guinn ◽  
Christina M. Devlin
Keyword(s):  
Academic Achievement ◽  
Body Mass Index ◽  
Socioeconomic Status ◽  
Body Mass ◽  
Fourth Grade ◽  
School Absenteeism ◽  
Relationship Of ◽  
The Relationship

scholarly journals A systematic review of psychosocial explanations for the relationship between socioeconomic status and body mass index

Appetite ◽  
2019 ◽  
Vol 132 ◽  
pp. 208-221 ◽  
Author(s):  
Maria Almudena Claassen ◽  
Olivier Klein ◽  
Boyka Bratanova ◽  
Nele Claes ◽  
Olivier Corneille
Keyword(s):  
Systematic Review ◽  
Body Mass Index ◽  
Socioeconomic Status ◽  
Body Mass ◽  
The Relationship

scholarly journals Association between body mass index and macronutrients differs along the body mass index range of German adults: results from the German National Nutrition Survey II

2021 ◽  
Vol 10 ◽  
Author(s):  
Kilson Moon ◽  
Carolin Krems ◽  
Thorsten Heuer ◽  
Ingrid Hoffmann
Keyword(s):  
Body Mass Index ◽  
Energy Intake ◽  
Body Mass ◽  
Entire Range ◽  
Negative Association ◽  
Animal Protein ◽  
Inverse Association ◽  
Nutrition Survey ◽  
National Nutrition Survey ◽  
German National Nutrition Survey

Abstract The aim of the present study was to determine whether the association between body mass index (BMI) and the intake of macronutrients varies along the BMI distribution of German adults. Based on a sample of 9214 men and women aged 18–80 years from the representative cross-sectional German National Nutrition Survey (NVS) II, quantile regression was used to investigate the association between BMI and the intake of macronutrients independent of energy intake and other predictors. In both sexes, BMI was positively associated with the intake of total protein and animal protein over its entire range and negatively associated with vegetable protein. A negative association between BMI and the intake of polysaccharides was found along the entire range of BMI in men. There was a weak negative association between BMI and the intake of total fat and saturated fatty acids observed in normal-weight-range women only. In conclusion, the association between BMI and the intake of macronutrients varies along the BMI range. Animal protein intake is positively associated with BMI independent of energy intake in both sexes whereas only in men an inverse association of polysaccharide intake with BMI was shown.

scholarly journals Association between dietary mineral nutrient intake, body mass index, and waist circumference in U.S. adults using quantile regression analysis NHANES 2007–2014

PeerJ ◽  
2020 ◽  
Vol 8 ◽  
pp. e9127
Author(s):  
Shan Jiang ◽  
Xiaoyu Ma ◽  
Meng Li ◽  
Shoumeng Yan ◽  
Hantong Zhao ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Waist Circumference ◽  
Quantile Regression ◽  
Body Mass ◽  
The United States ◽  
Mineral Nutrient ◽  
Nutrient Intakes ◽  
Risk Levels ◽  
Quantile Regression Analysis ◽  
The Relationship

Objective Mineral nutrients play an important role in maintaining material and energy metabolism. Reports on mineral nutrient intakes and body mass index (BMI) and waist circumference (WC) are rare in the United States. This study examined the relationship between BMI, WC and dietary mineral intakes. Method We used the data from National Health and Nutrition Examination Survey 2007–2014. Nutrient intakes were adjusted for energy according to the residual adjustment method. We used the quantile regression model to analyze the relationship between BMI, WC under different distributions and the average daily mineral intakes. Result A total of 19,952 people were included in the study, including 9,879 men and 10,073 women (≥20 years old). The median BMI was 27.935 kg/m2 and the median WC was 97.700 cm. The results of quantile regression showed that calcium, magnesium, potassium, copper, zinc and iron intakes were negatively correlated with BMI and WC, after adjusting for age and gender. Sodium and phosphorus intakes were positively correlated with BMI, sodium intakes were positively correlated with WC. This correlation was enhanced with increasing quantiles of risk levels. In high BMI or high WC populations, mineral intakes had a greater impact on BMI and WC. The quantile regression coefficients of selenium intakes were not statistically significant at each quantile. Conclusion Our results suggested that the mineral nutrient intakes were associated with BMI and WC in American adults. However, we also need to further study the longitudinal effects of mineral intakes and obesity.

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