scholarly journals AreIL18RAPgene polymorphisms associated with body mass regulation? A cross-sectional study

BMJ Open ◽  
2017 ◽  
Vol 7 (11) ◽  
pp. e017875 ◽  
Author(s):  
Vanesa Martínez-Barquero ◽  
Griselda de Marco ◽  
Sergio Martínez-Hervas ◽  
Victoria Adam-Felici ◽  
Cristina Pérez-Soriano ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Cross Sectional Study ◽  
Mediterranean Coast ◽  
Luciferase Reporter ◽  
Functional Study ◽  
Nucleotide Polymorphisms ◽  
Obesity Risk ◽  
Cross Sectional ◽  
Body Mass Regulation

ObjectivesTo investigate the association betweenIL18RAPand body mass index (BMI) and obesity and to verify the effect of a polymorphism in the microRNA136 (MIR136)IL18RAPbinding region.DesignWe analysed samples from two Spanish cross-sectional studies, VALCAR (Spanish Mediterranean coast) and Hortega (Spanish centre). These studies aimed at analysing cardiovascular risk and development of cardiovascular disease in the general population. Both populations correspond to regions with different characteristics.SettingFiveIL18RAPsingle nucleotide polymorphisms were selected using the SYSNPs web tool and analysed by oligonucleotide ligation assay (SNPlex). For the MIR136 functional study, cells were transfected with plasmids containing different rs7559479 polymorphism alleles and analysed by luciferase reporter assays.Participants1970 individuals (Caucasian, both genders): VALCAR (468) and Hortega (1502).Resultsrs2293225, rs2272127 and rs7559479 showed the following associations: rs7559479 G allele correlated with a higher obesity risk (P=0.01; OR=1.82; 95% CI 1.15 to 2.87 for the VALCAR group; P=0.033; OR=1.35; 95% CI 1.03 to 1.79 for the Hortega population) and higher body mass index (BMI) values (P=0.0045; P=0.1 for VALCAR and Hortega, respectively); a significant association with obesity (P=0.0024, OR=1.44, 95% CI 1.14 to 1.82) and increased BMI values (P=0.008) was found when considering both populations together. rs2293225 T allele was associated with lower obesity risk (P=0.036; OR=0.60; 95% CI 0.35 to 0.96) and lower BMI values (P=0.0038; OR=1.41) while the rs2272127 G allele was associated with lower obesity risk (P=0.028; OR=0.66; 95% CI 0.44 to 0.97) only in the VALCAR population. A reporter assay showed that the presence of the A allele in rs7559479 was associated with increased MIR136 binding toIL18RAP.ConclusionsOur results suggest that polymorphisms inIL18RAPinfluence susceptibility to obesity. We demonstrated that the A allele in rs7559479 increases MIR136 binding, which regulates IL-18 system activity.

Differences of food intakes with gender, the year in college and body mass index among university students in Beijing, China

2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Li Cheng ◽  
Zuchen Liu
Keyword(s):  
Body Mass Index ◽  
University Students ◽  
Body Mass ◽  
Fruits And Vegetables ◽  
Cross Sectional Study ◽  
Obesity Risk ◽  
Cross Sectional ◽  
Content Type ◽  
Tailored Interventions ◽  
Beijing China

Purpose The transition from high school to university poses many challenges for university students including dietary behaviors’ change and subsequent obesity risk. More tailored interventions and promotions to establish a healthier eating habit are needed to reduce obesity risks. The purpose of this paper is to investigate food intake differences on obesity risk among university students in China through exploring the differences of food intakes with gender, the year in college and body mass index (BMI). Design/methodology/approach Cross-sectional study was carried in five universities which were randomly selected in all the universities located in different geographical areas of Beijing, China. The sample consisted of 631 university students whom aged from 18 to 25 years. t-tests and one-way ANOVA tests were used to find differences of food intakes with gender, the year in college and BMI. Findings Having more consumption of food with high protein, high fat and high sugar, but less consumption of fruits and vegetables, may give university students a greater chance to be obese, and food intakes were significantly varied in different genders among Chinese university students. Originality/value There is a lack of evidence for investigating the differences of food intakes with gender on obesity among young adults in China. Findings of this study indicated that the food intakes of male students might make them more prone to obesity than female students, and suggested more tailored interventions, food marketing strategies and promotions on controlling students’ food intakes for a healthier life are needed.

scholarly journals Prevalence of Thinness among Santal Preschool Children Using New Body Mass Index Cut-Off Points

2011 ◽  
Vol 2011 ◽  
pp. 1-4
Author(s):  
Subal Das ◽  
Kaushik Bose
Keyword(s):  
Body Mass Index ◽  
Preschool Children ◽  
Nutritional Status ◽  
Body Mass ◽  
Cross Sectional Study ◽  
High Rate ◽  
Tribal Community ◽  
Community Based ◽  
Cross Sectional ◽  
Purulia District

A community-based cross-sectional study was undertaken to determine the prevalence of undernutrition using body mass index (BMI) among 2–6-year Santal preschool children of Purulia District, West Bengal, India. A total of 251 (116 boys and 135 girls) children from 12 villages were measured. Commonly used indicators, that is, weight, height, and BMI, were used to evaluate the nutritional status. More boys (59.5%) than girls (53.3%), based on BMI, were undernourished. Significant age differences in weight (F=44.29∗∗∗; df=3), height (F=58.48∗∗∗; df=3), and BMI (F=3.52∗∗∗; df=3) among boys were observed. Similarly, significant differences between ages in mean weight (F=56.27∗∗∗; df=3), height (F=64.76∗∗∗; df=3), and BMI (F=2.62∗∗∗; df=3) were observed among the girls. The present study revealed that the nutritional status of the preschool children of Santal tribal community of these villages was poor with very high rate of thinness in boys and girls (59.5% and 53.3%, resp.).

Effect modification of cardiorespiratory fitness, obesity, and physical activity in adults

2021 ◽  
Author(s):  
Maria do Socorro Simoes ◽  
Fernando Wehrmeister ◽  
Marcello Romiti ◽  
Antonio de Toledo Gagliardi ◽  
Rodolfo Arantes ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Body Mass ◽  
Cardiorespiratory Fitness ◽  
Vigorous Physical Activity ◽  
Clinical Information ◽  
Cross Sectional Study ◽  
Effect Modification ◽  
Cross Sectional ◽  
Arterial Blood

We investigated if cardiorespiratory fitness modifies the association between obesity and the level of physical activity. In this cross-sectional study, we analyzed data from 746 adults, free of diagnosed cardiorespiratory or locomotor diseases. We analyzed sociodemographic and clinical information, cardiovascular risk factors, cardiorespiratory fitness, anthropometry, and level of physical activity (time spent in moderate-to-vigorous physical activity). Those that spent more time in moderate-to-vigorous physical activity were younger, male, with lower body mass index, without self-reported arterial blood hypertension, diabetes and dyslipidemia, non-smokers, and presented with better cardiorespiratory fitness. The linear regression coefficients showed that cardiorespiratory fitness changes according to the level of physical activity and body mass index (obesity in low cardiorespiratory fitness: β 6.0, p = 0.213, 95%CI -3.5 to 15.6; in intermediate cardiorespiratory fitness: β 6.3, p = 0.114, 95%CI -1.5 to 14.2; in high cardiorespiratory fitness: β -6.3, p = 0.304, 95%CI -18.4 to 5.8). This effect modification trend was present after adjusting the model by covariates. Cardiorespiratory fitness potentially modifies the association between body mass index and the level of physical activity. It should be routinely assessed to identify persons with overweight/ obesity with low/ intermediate cardiorespiratory fitness to prescribe individualized training.

Behavioral Risk Factors and Latino Body Mass Index: A Cross-Sectional Study in Missouri

2012 ◽  
Vol 23 (4) ◽  
pp. 1750-1767 ◽  
Author(s):  
J.S. Onésimo Sandoval ◽  
Jenine K. Harris ◽  
Joel P. Jennings ◽  
Leslie Hinyard ◽  
Gina Banks
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Body Mass ◽  
Cross Sectional Study ◽  
Behavioral Risk Factors ◽  
Behavioral Risk ◽  
Sectional Study ◽  
Cross Sectional
Sign in / Sign up

Export Citation Format

Share Document