<?xml version="1.0" encoding="UTF-8"?>
<records>
<record>
<language>eng</language>
<publisher>Science and Education Publishing</publisher>
<journalTitle>Journal of Food and Nutrition Research</journalTitle>
<eissn>2333-1240</eissn>
<publicationDate>2022-07-24</publicationDate>
<volume>10</volume>
<issue>7</issue>
<startPage>511</startPage>
<endPage>517</endPage>
<doi>10.12691/jfnr-10-7-10</doi>
<publisherRecordId>JFNR202210710</publisherRecordId>
<documentType>article</documentType>
<title language="eng">Assessment of Factors Affecting Adulthood Body Mass Index among Japanese Using the Bayesian Network</title>
<authors>
<author>
<name>Rie Horiuchi</name>
<email>mhor9496@mukogawa-u.ac.jp</email>
<affiliationId>1</affiliationId>
<affiliationId>2</affiliationId>
</author>
<author>
<name>Yuko Maki</name>
<affiliationId>3</affiliationId>
</author>
<author>
<name>Miki Tokunaga</name>
<affiliationId>4</affiliationId>
</author>
<author>
<name>Ram B. Singh</name>
<affiliationId>5</affiliationId>
</author>
<author>
<name>Douglas W. Wilson</name>
<affiliationId>6</affiliationId>
<affiliationId>7</affiliationId>
</author>
<author>
<name>Harpal S. Buttar</name>
<affiliationId>8</affiliationId>
</author>
<author>
<name>Toru Takahashi</name>
<affiliationId>8</affiliationId>
</author>

</authors>
<affiliationsList>
<affiliationName affiliationId="1">Department of Food Sciences and Nutrition, School of Food Sciences and Nutrition, Mukogawa WomenĄŻs University, Nishinomiya City, Hyogo Prefecture, Japan</affiliationName>
<affiliationName affiliationId="3">Department of Life and Culture Studies, Sonoda WomenĄŻs University, Amagasaki City, Hyogo Prefecture, Japan</affiliationName>
<affiliationName affiliationId="4">Department of Food and Nutrition, Faculty of Human Sciences, Kanazawagakuin University, Kanazawa City, Japan</affiliationName>
<affiliationName affiliationId="5">Halberg Hospital and Research Institute, Civil Lines, Morada (UP), India</affiliationName>
<affiliationName affiliationId="6">School of Medicine, Pharmacy and Health, Durham University, Stockton Road, Durham, the UK</affiliationName>
<affiliationName affiliationId="8">Department of Pathology & Laboratory Medicine, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada</affiliationName>

</affiliationsList>
<abstract language="eng">The identification of associated factors can help control BMI (body mass index). The current study aimed to assess whether adulthood and childhood factors such as sex, age, oil intake, obesity genes, eating habits, food preferences, number of food bites per mouth, percentage of body fat, height, and weight can affect adulthood BMI. This research included 20 participants from Osaka WomenĄŻs Junior College in Japan, and cross-sectional data were used. A questionnaire was designed to assess sex, age, oil intake, eating habits, and food preferences in adulthood and childhood. Then, percentage of body fat, height, and weight were examined. Obesity genotypes such as UCP, AB2, and AB3 were assessed using a genetic testing kit. The causal effect relationship between the measured variables were analyzed via Bayesian network analysis. The factors affecting adulthood BMI were regular mealtimes, percentage of body fat, and age. Regular mealtimes were negatively associated with adulthood BMI (r = ?0.57, p = 0.008). Thus, promoting regular mealtimes during childhood and adulthood can help achieve a low BMI in adulthood among the Japanese. Obesity genes (such as UCP1, ADB2, and ADB3), food preferences, and oil intake might not be directly correlated with BMI. Finally, education about regular mealtimes among children and parents could help control weight and enhance intelligence.</abstract>
<fullTextUrl format="pdf">http://pubs.sciepub.com/jfnr/10/7/10/jfnr-10-7-10.pdf</fullTextUrl>
<keywords language="eng"><keyword>body mass index</keyword>
<keyword>meal regularity</keyword>
<keyword>mealtimes</keyword>
<keyword>children</keyword>
<keyword>parents</keyword>
<keyword>Bayesian network</keyword>
</keywords>
</record>
</records>
