The relationship between a low grain intake dietary pattern and impulsive behaviors in middle-aged Japanese people
Several studies indicate that dietary habits are associated with mental health. We are interested in identifying not a specific single nutrient/food group but the population preferring specific food combinations that can be related to mental health. Very few studies have examined relationships betwe...
Gespeichert in:
Veröffentlicht in: | PloS one 2017-07, Vol.12 (7), p.e0181057-e0181057 |
---|---|
Hauptverfasser: | , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | e0181057 |
---|---|
container_issue | 7 |
container_start_page | e0181057 |
container_title | PloS one |
container_volume | 12 |
creator | Toyomaki, Atsuhito Koga, Minori Okada, Emiko Nakai, Yukiei Miyazaki, Akane Tamakoshi, Akiko Kiso, Yoshinobu Kusumi, Ichiro |
description | Several studies indicate that dietary habits are associated with mental health. We are interested in identifying not a specific single nutrient/food group but the population preferring specific food combinations that can be related to mental health. Very few studies have examined relationships between dietary patterns and multifaceted mental states using cluster analysis. The purpose of this study was to investigate population-level dietary patterns associated with mental state using cluster analysis. We focused on depressive state, sleep quality, subjective well-being, and impulsive behaviors using rating scales. Two hundred and seventy-nine Japanese middle-aged people participated in the present study. Dietary pattern was estimated using a brief self-administered diet-history questionnaire (the BDHQ). We conducted K-means cluster analysis using thirteen BDHQ food groups: milk, meat, fish, egg, pulses, potatoes, green and yellow vegetables, other vegetables, mushrooms, seaweed, sweets, fruits, and grain. We identified three clusters characterized as "vegetable and fruit dominant," "grain dominant," and "low grain tendency" subgroups. The vegetable and fruit dominant group showed increases in several aspects of subjective well-being demonstrated by the SF-8. Differences in mean subject characteristics across clusters were tested using ANOVA. The low frequency intake of grain group showed higher impulsive behavior, demonstrated by BIS-11 deliberation and sum scores. The present study demonstrated that traditional Japanese dietary patterns, such as eating rice, can help with beneficial changes in mental health. |
doi_str_mv | 10.1371/journal.pone.0181057 |
format | Article |
fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_1919520530</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A498443076</galeid><doaj_id>oai_doaj_org_article_86ccee4d23b04e2ca850ef764ffb53e3</doaj_id><sourcerecordid>A498443076</sourcerecordid><originalsourceid>FETCH-LOGICAL-c802t-f4afcad459b69cef62b0d8b27c839a98417bd989889180b61ebbb63f01b316143</originalsourceid><addsrcrecordid>eNqNk19v0zAUxSMEYqPwDRBEQkLw0GLHiWO_IE0Tf4omTYLBq2U7N4mLGwfb6eDb467d1KI9oDw4sn_n2PfYN8ueY7TApMbvVm7yg7SL0Q2wQJhhVNUPslPMSTGnBSIPD_5PsichrBCqCKP0cXZSsBqVJeWnmb_qIfdgZTRuCL0ZcwXxGmDIZW7ddd55aYbcDFH-hLwxEKX_k48yRvAJGZrcrMfJBrOBJOzlxjgfEp6vTdNYmMsOmvyLHOUAAfIR3GjhafaolTbAs_04y75__HB1_nl-cflpeX52MdcMFXHelrLVsikrrijX0NJCoYapotaMcMlZiWvVcMYZ45ghRTEopShpEVYEU1ySWfZy5ztaF8Q-riAwx7wqUhQoEcsd0Ti5EqM361SdcNKImwnnOyF9NNqCYFRrgLIpiEIlFFqyCkFb07JtVUWAJK_3-90mtYZGwxC9tEemxyuD6UXnNqKqECfpOLPszd7Au18ThCjWJmiwNmXnpu25i5qggvI6oa_-Qe-vbk91MhVghtalffXWVJyVKb-SoJomanEPlb4G1kant9WaNH8keHskSEyE37GTUwhi-e3r_7OXP47Z1wdsD9LGPjg73TzMY7Dcgdq7EDy0dyFjJLatcZuG2LaG2LdGkr04vKA70W0vkL8VpgqF</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1919520530</pqid></control><display><type>article</type><title>The relationship between a low grain intake dietary pattern and impulsive behaviors in middle-aged Japanese people</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><source>Public Library of Science (PLoS)</source><creator>Toyomaki, Atsuhito ; Koga, Minori ; Okada, Emiko ; Nakai, Yukiei ; Miyazaki, Akane ; Tamakoshi, Akiko ; Kiso, Yoshinobu ; Kusumi, Ichiro</creator><contributor>Dewanjee, Saikat</contributor><creatorcontrib>Toyomaki, Atsuhito ; Koga, Minori ; Okada, Emiko ; Nakai, Yukiei ; Miyazaki, Akane ; Tamakoshi, Akiko ; Kiso, Yoshinobu ; Kusumi, Ichiro ; Dewanjee, Saikat</creatorcontrib><description>Several studies indicate that dietary habits are associated with mental health. We are interested in identifying not a specific single nutrient/food group but the population preferring specific food combinations that can be related to mental health. Very few studies have examined relationships between dietary patterns and multifaceted mental states using cluster analysis. The purpose of this study was to investigate population-level dietary patterns associated with mental state using cluster analysis. We focused on depressive state, sleep quality, subjective well-being, and impulsive behaviors using rating scales. Two hundred and seventy-nine Japanese middle-aged people participated in the present study. Dietary pattern was estimated using a brief self-administered diet-history questionnaire (the BDHQ). We conducted K-means cluster analysis using thirteen BDHQ food groups: milk, meat, fish, egg, pulses, potatoes, green and yellow vegetables, other vegetables, mushrooms, seaweed, sweets, fruits, and grain. We identified three clusters characterized as "vegetable and fruit dominant," "grain dominant," and "low grain tendency" subgroups. The vegetable and fruit dominant group showed increases in several aspects of subjective well-being demonstrated by the SF-8. Differences in mean subject characteristics across clusters were tested using ANOVA. The low frequency intake of grain group showed higher impulsive behavior, demonstrated by BIS-11 deliberation and sum scores. The present study demonstrated that traditional Japanese dietary patterns, such as eating rice, can help with beneficial changes in mental health.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0181057</identifier><identifier>PMID: 28704469</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Algae ; Biology and Life Sciences ; Childrens health ; Clinical outcomes ; Cluster Analysis ; Clusters ; Confectionery ; Cross-Sectional Studies ; Dementia ; Depression - psychology ; Diet ; Diet Surveys ; Dietary intake ; Edible Grain ; Feeding Behavior - psychology ; Female ; Fish eggs ; Food ; Food groups ; Fruits ; Grain ; Grains ; Group dynamics ; Habits ; Hemodialysis ; Humans ; Hypotheses ; Impulsive behavior ; Impulsive Behavior - physiology ; Impulsivity ; Japan ; Low frequencies ; Male ; Maternal & child health ; Meat ; Medicine ; Medicine and Health Sciences ; Mental depression ; Mental disorders ; Mental Health ; Middle age ; Middle Aged ; Milk ; Mushrooms ; Nutrition research ; Observations ; Older people ; Patients ; Physical Sciences ; Population studies ; Potatoes ; Psychiatry ; Psychological aspects ; Psychological factors ; Public health ; Quality ; Quantitative psychology ; Questionnaires ; Research and Analysis Methods ; Risk Factors ; Scales ; Sleep ; Social Sciences ; Studies ; Subgroups ; Surveys and Questionnaires ; Variance analysis ; Vegetables ; Well being ; Womens health</subject><ispartof>PloS one, 2017-07, Vol.12 (7), p.e0181057-e0181057</ispartof><rights>COPYRIGHT 2017 Public Library of Science</rights><rights>2017 Toyomaki et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2017 Toyomaki et al 2017 Toyomaki et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c802t-f4afcad459b69cef62b0d8b27c839a98417bd989889180b61ebbb63f01b316143</citedby><cites>FETCH-LOGICAL-c802t-f4afcad459b69cef62b0d8b27c839a98417bd989889180b61ebbb63f01b316143</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5509305/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5509305/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23847,27903,27904,53769,53771,79346,79347</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28704469$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Dewanjee, Saikat</contributor><creatorcontrib>Toyomaki, Atsuhito</creatorcontrib><creatorcontrib>Koga, Minori</creatorcontrib><creatorcontrib>Okada, Emiko</creatorcontrib><creatorcontrib>Nakai, Yukiei</creatorcontrib><creatorcontrib>Miyazaki, Akane</creatorcontrib><creatorcontrib>Tamakoshi, Akiko</creatorcontrib><creatorcontrib>Kiso, Yoshinobu</creatorcontrib><creatorcontrib>Kusumi, Ichiro</creatorcontrib><title>The relationship between a low grain intake dietary pattern and impulsive behaviors in middle-aged Japanese people</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Several studies indicate that dietary habits are associated with mental health. We are interested in identifying not a specific single nutrient/food group but the population preferring specific food combinations that can be related to mental health. Very few studies have examined relationships between dietary patterns and multifaceted mental states using cluster analysis. The purpose of this study was to investigate population-level dietary patterns associated with mental state using cluster analysis. We focused on depressive state, sleep quality, subjective well-being, and impulsive behaviors using rating scales. Two hundred and seventy-nine Japanese middle-aged people participated in the present study. Dietary pattern was estimated using a brief self-administered diet-history questionnaire (the BDHQ). We conducted K-means cluster analysis using thirteen BDHQ food groups: milk, meat, fish, egg, pulses, potatoes, green and yellow vegetables, other vegetables, mushrooms, seaweed, sweets, fruits, and grain. We identified three clusters characterized as "vegetable and fruit dominant," "grain dominant," and "low grain tendency" subgroups. The vegetable and fruit dominant group showed increases in several aspects of subjective well-being demonstrated by the SF-8. Differences in mean subject characteristics across clusters were tested using ANOVA. The low frequency intake of grain group showed higher impulsive behavior, demonstrated by BIS-11 deliberation and sum scores. The present study demonstrated that traditional Japanese dietary patterns, such as eating rice, can help with beneficial changes in mental health.</description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Algae</subject><subject>Biology and Life Sciences</subject><subject>Childrens health</subject><subject>Clinical outcomes</subject><subject>Cluster Analysis</subject><subject>Clusters</subject><subject>Confectionery</subject><subject>Cross-Sectional Studies</subject><subject>Dementia</subject><subject>Depression - psychology</subject><subject>Diet</subject><subject>Diet Surveys</subject><subject>Dietary intake</subject><subject>Edible Grain</subject><subject>Feeding Behavior - psychology</subject><subject>Female</subject><subject>Fish eggs</subject><subject>Food</subject><subject>Food groups</subject><subject>Fruits</subject><subject>Grain</subject><subject>Grains</subject><subject>Group dynamics</subject><subject>Habits</subject><subject>Hemodialysis</subject><subject>Humans</subject><subject>Hypotheses</subject><subject>Impulsive behavior</subject><subject>Impulsive Behavior - physiology</subject><subject>Impulsivity</subject><subject>Japan</subject><subject>Low frequencies</subject><subject>Male</subject><subject>Maternal & child health</subject><subject>Meat</subject><subject>Medicine</subject><subject>Medicine and Health Sciences</subject><subject>Mental depression</subject><subject>Mental disorders</subject><subject>Mental Health</subject><subject>Middle age</subject><subject>Middle Aged</subject><subject>Milk</subject><subject>Mushrooms</subject><subject>Nutrition research</subject><subject>Observations</subject><subject>Older people</subject><subject>Patients</subject><subject>Physical Sciences</subject><subject>Population studies</subject><subject>Potatoes</subject><subject>Psychiatry</subject><subject>Psychological aspects</subject><subject>Psychological factors</subject><subject>Public health</subject><subject>Quality</subject><subject>Quantitative psychology</subject><subject>Questionnaires</subject><subject>Research and Analysis Methods</subject><subject>Risk Factors</subject><subject>Scales</subject><subject>Sleep</subject><subject>Social Sciences</subject><subject>Studies</subject><subject>Subgroups</subject><subject>Surveys and Questionnaires</subject><subject>Variance analysis</subject><subject>Vegetables</subject><subject>Well being</subject><subject>Womens health</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNk19v0zAUxSMEYqPwDRBEQkLw0GLHiWO_IE0Tf4omTYLBq2U7N4mLGwfb6eDb467d1KI9oDw4sn_n2PfYN8ueY7TApMbvVm7yg7SL0Q2wQJhhVNUPslPMSTGnBSIPD_5PsichrBCqCKP0cXZSsBqVJeWnmb_qIfdgZTRuCL0ZcwXxGmDIZW7ddd55aYbcDFH-hLwxEKX_k48yRvAJGZrcrMfJBrOBJOzlxjgfEp6vTdNYmMsOmvyLHOUAAfIR3GjhafaolTbAs_04y75__HB1_nl-cflpeX52MdcMFXHelrLVsikrrijX0NJCoYapotaMcMlZiWvVcMYZ45ghRTEopShpEVYEU1ySWfZy5ztaF8Q-riAwx7wqUhQoEcsd0Ti5EqM361SdcNKImwnnOyF9NNqCYFRrgLIpiEIlFFqyCkFb07JtVUWAJK_3-90mtYZGwxC9tEemxyuD6UXnNqKqECfpOLPszd7Au18ThCjWJmiwNmXnpu25i5qggvI6oa_-Qe-vbk91MhVghtalffXWVJyVKb-SoJomanEPlb4G1kant9WaNH8keHskSEyE37GTUwhi-e3r_7OXP47Z1wdsD9LGPjg73TzMY7Dcgdq7EDy0dyFjJLatcZuG2LaG2LdGkr04vKA70W0vkL8VpgqF</recordid><startdate>20170713</startdate><enddate>20170713</enddate><creator>Toyomaki, Atsuhito</creator><creator>Koga, Minori</creator><creator>Okada, Emiko</creator><creator>Nakai, Yukiei</creator><creator>Miyazaki, Akane</creator><creator>Tamakoshi, Akiko</creator><creator>Kiso, Yoshinobu</creator><creator>Kusumi, Ichiro</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20170713</creationdate><title>The relationship between a low grain intake dietary pattern and impulsive behaviors in middle-aged Japanese people</title><author>Toyomaki, Atsuhito ; Koga, Minori ; Okada, Emiko ; Nakai, Yukiei ; Miyazaki, Akane ; Tamakoshi, Akiko ; Kiso, Yoshinobu ; Kusumi, Ichiro</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c802t-f4afcad459b69cef62b0d8b27c839a98417bd989889180b61ebbb63f01b316143</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Algae</topic><topic>Biology and Life Sciences</topic><topic>Childrens health</topic><topic>Clinical outcomes</topic><topic>Cluster Analysis</topic><topic>Clusters</topic><topic>Confectionery</topic><topic>Cross-Sectional Studies</topic><topic>Dementia</topic><topic>Depression - psychology</topic><topic>Diet</topic><topic>Diet Surveys</topic><topic>Dietary intake</topic><topic>Edible Grain</topic><topic>Feeding Behavior - psychology</topic><topic>Female</topic><topic>Fish eggs</topic><topic>Food</topic><topic>Food groups</topic><topic>Fruits</topic><topic>Grain</topic><topic>Grains</topic><topic>Group dynamics</topic><topic>Habits</topic><topic>Hemodialysis</topic><topic>Humans</topic><topic>Hypotheses</topic><topic>Impulsive behavior</topic><topic>Impulsive Behavior - physiology</topic><topic>Impulsivity</topic><topic>Japan</topic><topic>Low frequencies</topic><topic>Male</topic><topic>Maternal & child health</topic><topic>Meat</topic><topic>Medicine</topic><topic>Medicine and Health Sciences</topic><topic>Mental depression</topic><topic>Mental disorders</topic><topic>Mental Health</topic><topic>Middle age</topic><topic>Middle Aged</topic><topic>Milk</topic><topic>Mushrooms</topic><topic>Nutrition research</topic><topic>Observations</topic><topic>Older people</topic><topic>Patients</topic><topic>Physical Sciences</topic><topic>Population studies</topic><topic>Potatoes</topic><topic>Psychiatry</topic><topic>Psychological aspects</topic><topic>Psychological factors</topic><topic>Public health</topic><topic>Quality</topic><topic>Quantitative psychology</topic><topic>Questionnaires</topic><topic>Research and Analysis Methods</topic><topic>Risk Factors</topic><topic>Scales</topic><topic>Sleep</topic><topic>Social Sciences</topic><topic>Studies</topic><topic>Subgroups</topic><topic>Surveys and Questionnaires</topic><topic>Variance analysis</topic><topic>Vegetables</topic><topic>Well being</topic><topic>Womens health</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Toyomaki, Atsuhito</creatorcontrib><creatorcontrib>Koga, Minori</creatorcontrib><creatorcontrib>Okada, Emiko</creatorcontrib><creatorcontrib>Nakai, Yukiei</creatorcontrib><creatorcontrib>Miyazaki, Akane</creatorcontrib><creatorcontrib>Tamakoshi, Akiko</creatorcontrib><creatorcontrib>Kiso, Yoshinobu</creatorcontrib><creatorcontrib>Kusumi, Ichiro</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Toyomaki, Atsuhito</au><au>Koga, Minori</au><au>Okada, Emiko</au><au>Nakai, Yukiei</au><au>Miyazaki, Akane</au><au>Tamakoshi, Akiko</au><au>Kiso, Yoshinobu</au><au>Kusumi, Ichiro</au><au>Dewanjee, Saikat</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The relationship between a low grain intake dietary pattern and impulsive behaviors in middle-aged Japanese people</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2017-07-13</date><risdate>2017</risdate><volume>12</volume><issue>7</issue><spage>e0181057</spage><epage>e0181057</epage><pages>e0181057-e0181057</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Several studies indicate that dietary habits are associated with mental health. We are interested in identifying not a specific single nutrient/food group but the population preferring specific food combinations that can be related to mental health. Very few studies have examined relationships between dietary patterns and multifaceted mental states using cluster analysis. The purpose of this study was to investigate population-level dietary patterns associated with mental state using cluster analysis. We focused on depressive state, sleep quality, subjective well-being, and impulsive behaviors using rating scales. Two hundred and seventy-nine Japanese middle-aged people participated in the present study. Dietary pattern was estimated using a brief self-administered diet-history questionnaire (the BDHQ). We conducted K-means cluster analysis using thirteen BDHQ food groups: milk, meat, fish, egg, pulses, potatoes, green and yellow vegetables, other vegetables, mushrooms, seaweed, sweets, fruits, and grain. We identified three clusters characterized as "vegetable and fruit dominant," "grain dominant," and "low grain tendency" subgroups. The vegetable and fruit dominant group showed increases in several aspects of subjective well-being demonstrated by the SF-8. Differences in mean subject characteristics across clusters were tested using ANOVA. The low frequency intake of grain group showed higher impulsive behavior, demonstrated by BIS-11 deliberation and sum scores. The present study demonstrated that traditional Japanese dietary patterns, such as eating rice, can help with beneficial changes in mental health.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>28704469</pmid><doi>10.1371/journal.pone.0181057</doi><tpages>e0181057</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2017-07, Vol.12 (7), p.e0181057-e0181057 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_1919520530 |
source | MEDLINE; DOAJ Directory of Open Access Journals; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry; Public Library of Science (PLoS) |
subjects | Adult Aged Aged, 80 and over Algae Biology and Life Sciences Childrens health Clinical outcomes Cluster Analysis Clusters Confectionery Cross-Sectional Studies Dementia Depression - psychology Diet Diet Surveys Dietary intake Edible Grain Feeding Behavior - psychology Female Fish eggs Food Food groups Fruits Grain Grains Group dynamics Habits Hemodialysis Humans Hypotheses Impulsive behavior Impulsive Behavior - physiology Impulsivity Japan Low frequencies Male Maternal & child health Meat Medicine Medicine and Health Sciences Mental depression Mental disorders Mental Health Middle age Middle Aged Milk Mushrooms Nutrition research Observations Older people Patients Physical Sciences Population studies Potatoes Psychiatry Psychological aspects Psychological factors Public health Quality Quantitative psychology Questionnaires Research and Analysis Methods Risk Factors Scales Sleep Social Sciences Studies Subgroups Surveys and Questionnaires Variance analysis Vegetables Well being Womens health |
title | The relationship between a low grain intake dietary pattern and impulsive behaviors in middle-aged Japanese people |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-27T15%3A46%3A59IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20relationship%20between%20a%20low%20grain%20intake%20dietary%20pattern%20and%20impulsive%20behaviors%20in%20middle-aged%20Japanese%20people&rft.jtitle=PloS%20one&rft.au=Toyomaki,%20Atsuhito&rft.date=2017-07-13&rft.volume=12&rft.issue=7&rft.spage=e0181057&rft.epage=e0181057&rft.pages=e0181057-e0181057&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0181057&rft_dat=%3Cgale_plos_%3EA498443076%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1919520530&rft_id=info:pmid/28704469&rft_galeid=A498443076&rft_doaj_id=oai_doaj_org_article_86ccee4d23b04e2ca850ef764ffb53e3&rfr_iscdi=true |