scholarly journals Bedtime, body mass index and obesity risk in preschool‐aged children

2020 ◽  
Vol 15 (9) ◽  
Author(s):  
Melyssa Roy ◽  
Jillian J. Haszard ◽  
Jennifer S. Savage ◽  
Kimberly Yolton ◽  
Dean W. Beebe ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Obesity Risk ◽  
Preschool Aged Children

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 Rate of change in body mass index at different ages during childhood and adult obesity risk

2019 ◽  
Vol 14 (7) ◽  
pp. e12513 ◽  
Author(s):  
Tao Zhang ◽  
Paul K. Whelton ◽  
Bo Xi ◽  
Marie Krousel‐Wood ◽  
Lydia Bazzano ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Rate Of Change ◽  
Adult Obesity ◽  
Obesity Risk ◽  
Different Ages

scholarly journals Changes in Body Mass Index and Obesity Risk in Married Couples Over 25 Years

2015 ◽  
Vol 183 (5) ◽  
pp. 435-443 ◽  
Author(s):  
Laura K. Cobb ◽  
Mara A. McAdams-DeMarco ◽  
Kimberly A. Gudzune ◽  
Cheryl A. M. Anderson ◽  
Ellen Demerath ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Married Couples ◽  
Obesity Risk

APOA5 gene variation modulates the effects of dietary fat intake on body mass index and obesity risk in the Framingham Heart Study

2007 ◽  
Vol 85 (2) ◽  
pp. 119-128 ◽  
Author(s):  
Dolores Corella ◽  
Chao-Qiang Lai ◽  
Serkalem Demissie ◽  
L. Adrienne Cupples ◽  
Alisa K. Manning ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Dietary Fat ◽  
Framingham Heart Study ◽  
Fat Intake ◽  
Obesity Risk ◽  
Gene Variation ◽  
Dietary Fat Intake ◽  
Heart Study ◽  
Apoa5 Gene

Validity of Parentally Reported Weight and Height for Preschool-Aged Children in Belgium and Its Impact on Classification Into Body Mass Index Categories

PEDIATRICS ◽  
2006 ◽  
Vol 118 (5) ◽  
pp. 2109-2118 ◽  
Author(s):  
I. Huybrechts ◽  
D. De Bacquer ◽  
I. Van Trimpont ◽  
G. De Backer ◽  
S. De Henauw
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Preschool Aged Children

Long-term trends in the body mass index and obesity risk in Estonia: an age–period–cohort approach

2020 ◽  
Vol 65 (6) ◽  
pp. 859-869
Author(s):  
Rainer Reile ◽  
Aleksei Baburin ◽  
Tatjana Veideman ◽  
Mall Leinsalu
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
The Body ◽  
Obesity Risk ◽  
Long Term Trends

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.

Habitual Active Transport Moderates the Association of TV Viewing Time With Body Mass Index

2010 ◽  
Vol 7 (1) ◽  
pp. 11-16 ◽  
Author(s):  
Takemi Sugiyama ◽  
Dafna Merom ◽  
Marina Reeves ◽  
Eva Leslie ◽  
Neville Owen
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Active Transport ◽  
Body Mass ◽  
Linear Models ◽  
Leisure Time Physical Activity ◽  
Viewing Time ◽  
Obesity Risk ◽  
Tv Viewing ◽  
The Relationship

Background:Television viewing time is associated with obesity risk independent of leisure-time physical activity (LTPA). However, it is unknown whether the relationship of TV viewing time with body mass index (BMI) is moderated by other domains of physical activity.Methods:A mail survey collected height; weight; TV viewing time; physical activity for transportation (habitual transport behavior; past week walking and bicycling), for recreation (LTPA), and in workplace; and sociodemographic variables in Adelaide, Australia. General linear models examined whether physical activity domains moderate the association between BMI and TV viewing time.Results:Analysis of the sample (N = 1408) found that TV time, habitual transport, and LTPA were independently associated with participant’s BMI. The interaction between TV time and habitual transport with BMI was significant, while that between TV time and LTPA was not. Subgroup analyses found that adjusted mean BMI was significantly higher for the high TV viewing category, compared with the low category, among participants who were inactive and occasionally active in transport, but not among those who were regularly active.Conclusions:Habitual active transport appeared to moderate the relationship between TV viewing time and BMI. Obesity risk associated with prolonged TV viewing may be mitigated by regular active transport.

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