scholarly journals Determinants of Body Mass Index in Turkey: A Quantile Regression Analysis from a Middle Income Country

2018 ◽  
Vol 32 (2) ◽  
Author(s):  
Deniz Karaoglan ◽  
Aysit Tansel
Keyword(s):  
Body Mass Index ◽  
Regression Analysis ◽  
Quantile Regression ◽  
Body Mass ◽  
Middle Income Country ◽  
Income Country ◽  
Middle Income ◽  
Quantile Regression Analysis

scholarly journals Relationships between Prenatal Distress and Infant Body Mass Index in the First Year of Life in a Lower-Middle Income Country

2020 ◽  
Vol 17 (19) ◽  
pp. 7351
Author(s):  
Ann-Sophie Therrien ◽  
Giovanna Buffa ◽  
Amanda B. Roome ◽  
Elizabeth Standard ◽  
Alysa Pomer ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Body Mass ◽  
Prenatal Stress ◽  
Middle Income Country ◽  
Income Country ◽  
Middle Income ◽  
Z Scores ◽  
Prenatal Distress ◽  
Curvilinear Relationships

Prenatal stress affects body composition in childhood and later in life. However, few studies assess body composition in infancy. Furthermore, most are in high-income countries and do not consider interactive or curvilinear relationships. We assessed distress and diet during pregnancy via questionnaires among 310 women in Vanuatu, a lower-middle income country. We measured body mass index (BMI) among 54 infants at 4–12 months of age. We analyzed interactive relationships between prenatal distress and diet with BMI Z-scores, and curvilinear relationships between distress and BMI Z-scores. There were no direct linear or interactive relationships between prenatal distress or diet with BMI Z-scores. We observed curvilinear relationships between prenatal distress and BMI Z-scores (p = 0.008), explaining 13.3 percent of unique variance. Results highlight that relationships between prenatal stress and body composition are evident in infancy but might not be detected if only linear relationships are assessed. Analyses in more diverse samples might help to explain inconsistencies in past studies.

Quantile regression analysis of body mass and wages

2011 ◽  
Vol 21 (5) ◽  
pp. 597-611 ◽  
Author(s):  
Meliyanni Johar ◽  
Hajime Katayama
Keyword(s):  
Regression Analysis ◽  
Quantile Regression ◽  
Body Mass ◽  
Quantile Regression Analysis

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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