Associations between Rice, Noodle, and Bread Intake and Sleep Quality in Japanese Men and Women
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{"title"=>"Associations between rice, noodle, and bread intake and sleep quality in Japanese men and women", "type"=>"journal", "authors"=>[{"first_name"=>"Satoko", "last_name"=>"Yoneyama", "scopus_author_id"=>"16744744700"}, {"first_name"=>"Masaru", "last_name"=>"Sakurai", "scopus_author_id"=>"7401437359"}, {"first_name"=>"Koshi", "last_name"=>"Nakamura", "scopus_author_id"=>"55643075200"}, {"first_name"=>"Yuko", "last_name"=>"Morikawa", "scopus_author_id"=>"7201491300"}, {"first_name"=>"Katsuyuki", "last_name"=>"Miura", "scopus_author_id"=>"7403691271"}, {"first_name"=>"Motoko", "last_name"=>"Nakashima", "scopus_author_id"=>"23498475400"}, {"first_name"=>"Katsushi", "last_name"=>"Yoshita", "scopus_author_id"=>"7003750426"}, {"first_name"=>"Masao", "last_name"=>"Ishizaki", "scopus_author_id"=>"7102391003"}, {"first_name"=>"Teruhiko", "last_name"=>"Kido", "scopus_author_id"=>"8704426600"}, {"first_name"=>"Yuchi", "last_name"=>"Naruse", "scopus_author_id"=>"7101709419"}, {"first_name"=>"Kazuhiro", "last_name"=>"Nogawa", "scopus_author_id"=>"36508919800"}, {"first_name"=>"Yasushi", "last_name"=>"Suwazono", "scopus_author_id"=>"6701319995"}, {"first_name"=>"Satoshi", "last_name"=>"Sasaki", "scopus_author_id"=>"55481104100"}, {"first_name"=>"Hideaki", "last_name"=>"Nakagawa", "scopus_author_id"=>"35414608000"}], "year"=>2014, "source"=>"PLoS ONE", "identifiers"=>{"issn"=>"19326203", "scopus"=>"2-s2.0-84929374775", "sgr"=>"84929374775", "pui"=>"373772140", "isbn"=>"1932-6203 (Electronic)\r1932-6203 (Linking)", "pmid"=>"25127476", "doi"=>"10.1371/journal.pone.0105198"}, "id"=>"f8c91f7d-a239-31f5-9dc6-f0021985aac9", "abstract"=>"BACKGROUND: Previous studies have shown that a diet with a high-glycemic index is associated with good sleep quality. Therefore, we investigated the association of sleep quality with the intake of 3 common starchy foods with different glycemic indexes-rice, bread, and noodles-as well as the dietary glycemic index in a Japanese population. METHODS: The participants were 1,848 men and women between 20 and 60 years of age. Rice, bread, and noodle consumption was evaluated using a self-administered diet history questionnaire. Sleep quality was evaluated by using the Japanese version of the Pittsburgh Sleep Quality Index, and a global score >5.5 was considered to indicate poor sleep. RESULTS: Multivariate-adjusted odds ratios (95% confidence intervals) for poor sleep across the quintiles of rice consumption were 1.00 (reference), 0.68 (0.49-0.93), 0.61 (0.43-0.85), 0.59 (0.42-0.85), and 0.54 (0.37-0.81) (p for trend = 0.015); those for the quintiles of noodle consumption were 1.00 (reference), 1.25 (0.90-1.74), 1.05 (0.75-1.47), 1.31 (0.94-1.82), and 1.82 (1.31-2.51) (p for trend = 0.002). Bread intake was not associated with sleep quality. A higher dietary glycemic index was significantly associated with a lower risk of poor sleep (p for trend = 0.020). CONCLUSION: A high dietary glycemic index and high rice consumption are significantly associated with good sleep in Japanese men and women, whereas bread intake is not associated with sleep quality and noodle consumption is associated with poor sleep. The different associations of these starchy foods with sleep quality might be attributable to the different glycemic index of each food.", "link"=>"http://www.mendeley.com/research/associations-between-rice-noodle-bread-intake-sleep-quality-japanese-men-women", "reader_count"=>39, "reader_count_by_academic_status"=>{"Professor > Associate Professor"=>2, "Student > Doctoral Student"=>1, "Researcher"=>8, "Student > Ph. D. Student"=>4, "Student > Postgraduate"=>2, "Student > Master"=>7, "Student > Bachelor"=>11, "Lecturer"=>2, "Professor"=>2}, "reader_count_by_user_role"=>{"Professor > Associate Professor"=>2, "Student > Doctoral Student"=>1, "Researcher"=>8, "Student > Ph. D. Student"=>4, "Student > Postgraduate"=>2, "Student > Master"=>7, "Student > Bachelor"=>11, "Lecturer"=>2, "Professor"=>2}, "reader_count_by_subject_area"=>{"Unspecified"=>2, "Environmental Science"=>2, "Nursing and Health Professions"=>3, "Biochemistry, Genetics and Molecular Biology"=>1, "Agricultural and Biological Sciences"=>13, "Medicine and Dentistry"=>11, "Sports and Recreations"=>1, "Pharmacology, Toxicology and Pharmaceutical Science"=>1, "Psychology"=>1, "Social Sciences"=>2, "Computer Science"=>1, "Economics, Econometrics and Finance"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>11}, "Social Sciences"=>{"Social Sciences"=>2}, "Sports and Recreations"=>{"Sports and Recreations"=>1}, "Psychology"=>{"Psychology"=>1}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>13}, "Computer Science"=>{"Computer Science"=>1}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>3}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>1}, "Unspecified"=>{"Unspecified"=>2}, "Environmental Science"=>{"Environmental Science"=>2}, "Pharmacology, Toxicology and Pharmaceutical Science"=>{"Pharmacology, Toxicology and Pharmaceutical Science"=>1}}, "reader_count_by_country"=>{"Japan"=>3}, "group_count"=>0}

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  • {"files"=>["https://ndownloader.figshare.com/files/1638065"], "description"=>"<p>GI, glycemic index; GL, glycemic load, CI, confidence interval; SD, standard deviation; OR: odds ratio; PSQI-J: Japanese version of the Pittsburgh Sleep Quality Index; Q: quintile;</p>a<p>A PSQI-J global score >5.5 indicate poor sleep.</p>b<p>The <i>χ</i><sup>2</sup> test was used to analyze the prevalence of poor sleep, and logistic regression analysis was used to assess the linear trends of ORs by using the median value of each quintile.</p>c<p>Differences of SD for rice, bread, noodles, dietary GI, and dietary GL were 69.1 g/1,000 kcal, 26.2 g/1,000 kcal, 32.8 g/1,000 kcal, 3.9, and 43.8/1,000 kcal, respectively.</p>d<p>Multivariate models included age (continuous), sex (continuous), Body mass index (kg/m<sup>2</sup>; continuous), smoking status (i.e., current, previous, or never; dummy variable), habitual exercise (MET-h/week; continuous), alcohol consumption (percentage of energy; continuous), frequency of breakfast consumption (i.e., 0–3, 4–6, or 7 days/week; dummy variable), rice intake (for the multivariate analyses of bread and noodles; continuous), bread intake (for the multivariate analyses of rice and noodles; continuous), and noodle intake (for the multivariate analyses of rice and bread; continuous).</p>", "links"=>[], "tags"=>["Pittsburgh Sleep Quality Index", "association", "trend", "rice consumption", "Japanese population.MethodsThe participants", "intake", "glycemic index", "noodle consumption", "Women BackgroundPrevious studies"], "article_id"=>1140917, "categories"=>["Biological Sciences"], "users"=>["Satoko Yoneyama", "Masaru Sakurai", "Koshi Nakamura", "Yuko Morikawa", "Katsuyuki Miura", "Motoko Nakashima", "Katsushi Yoshita", "Masao Ishizaki", "Teruhiko Kido", "Yuchi Naruse", "Kazuhiro Nogawa", "Yasushi Suwazono", "Satoshi Sasaki", "Hideaki Nakagawa"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0105198.t003", "stats"=>{"downloads"=>0, "page_views"=>13, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_ORs_for_the_prevalence_of_poor_sleep_a_in_each_quintile_of_dietary_rice_bread_and_noodle_intake_as_well_as_dietary_glycemic_index_and_glycemic_load_/1140917", "title"=>"ORs for the prevalence of poor sleep<sup>a</sup> in each quintile of dietary rice, bread, and noodle intake as well as dietary glycemic index and glycemic load.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-08-15 03:45:58"}
  • {"files"=>["https://ndownloader.figshare.com/files/1638066"], "description"=>"<p>GI: glycemic index, GL: glycemic load, METs/week: metabolic equivalent hours per week; Q: quintile.</p>a<p>The <i>χ</i><sup>2</sup> test was used to analyze categorical variables, and linear regression analysis was used to calculate <i>p</i>-values for trends for continuous variables.</p>", "links"=>[], "tags"=>["Pittsburgh Sleep Quality Index", "association", "trend", "rice consumption", "Japanese population.MethodsThe participants", "intake", "glycemic index", "noodle consumption", "Women BackgroundPrevious studies"], "article_id"=>1140918, "categories"=>["Biological Sciences"], "users"=>["Satoko Yoneyama", "Masaru Sakurai", "Koshi Nakamura", "Yuko Morikawa", "Katsuyuki Miura", "Motoko Nakashima", "Katsushi Yoshita", "Masao Ishizaki", "Teruhiko Kido", "Yuchi Naruse", "Kazuhiro Nogawa", "Yasushi Suwazono", "Satoshi Sasaki", "Hideaki Nakagawa"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0105198.t001", "stats"=>{"downloads"=>1, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Characteristics_of_study_participants_by_quintiles_of_dietary_rice_bread_and_noodle_intake_as_well_as_dietary_glycemic_index_and_glycemic_load_N_1_848_/1140918", "title"=>"Characteristics of study participants by quintiles of dietary rice, bread, and noodle intake as well as dietary glycemic index and glycemic load (<i>N</i> = 1,848).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-08-15 03:45:58"}
  • {"files"=>["https://ndownloader.figshare.com/files/1638063"], "description"=>"<p>Mean PSQI-J global scores were adjusted for age, sex, and total energy intake (kcal/day, continuous), by using the analysis of covariance model. PSQI-J: Japanese version of the Pittsburgh Quality Index; Q: quintile.</p>", "links"=>[], "tags"=>["Pittsburgh Sleep Quality Index", "association", "trend", "rice consumption", "Japanese population.MethodsThe participants", "intake", "glycemic index", "noodle consumption", "Women BackgroundPrevious studies"], "article_id"=>1140915, "categories"=>["Biological Sciences"], "users"=>["Satoko Yoneyama", "Masaru Sakurai", "Koshi Nakamura", "Yuko Morikawa", "Katsuyuki Miura", "Motoko Nakashima", "Katsushi Yoshita", "Masao Ishizaki", "Teruhiko Kido", "Yuchi Naruse", "Kazuhiro Nogawa", "Yasushi Suwazono", "Satoshi Sasaki", "Hideaki Nakagawa"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0105198.g001", "stats"=>{"downloads"=>1, "page_views"=>17, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_PSQI_J_global_scores_for_quintiles_of_starchy_food_intake_dietary_glycemic_index_and_glycemic_load_/1140915", "title"=>"PSQI-J global scores for quintiles of starchy food intake, dietary glycemic index, and glycemic load.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-08-15 03:45:58"}
  • {"files"=>["https://ndownloader.figshare.com/files/1638064"], "description"=>"<p>PSQI-J, the Japanese version of the Pittsburgh Sleep Quality Index; GI, glycemic index; GL, glycemic load; Q: quintile.</p>a<p>Linear regression analyses were used to assess the linear trends between sleep duration and each PSQI-J component score across the quintiles of starchy food intake, dietary GI, and dietary GL by using the median value of each quintile.</p>", "links"=>[], "tags"=>["Pittsburgh Sleep Quality Index", "association", "trend", "rice consumption", "Japanese population.MethodsThe participants", "intake", "glycemic index", "noodle consumption", "Women BackgroundPrevious studies"], "article_id"=>1140916, "categories"=>["Biological Sciences"], "users"=>["Satoko Yoneyama", "Masaru Sakurai", "Koshi Nakamura", "Yuko Morikawa", "Katsuyuki Miura", "Motoko Nakashima", "Katsushi Yoshita", "Masao Ishizaki", "Teruhiko Kido", "Yuchi Naruse", "Kazuhiro Nogawa", "Yasushi Suwazono", "Satoshi Sasaki", "Hideaki Nakagawa"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0105198.t002", "stats"=>{"downloads"=>1, "page_views"=>19, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_PSQI_J_component_scores_by_quintiles_of_rice_bread_and_noodle_intake_as_well_as_dietary_glycemic_index_and_glycemic_load_/1140916", "title"=>"PSQI-J component scores by quintiles of rice, bread, and noodle intake as well as dietary glycemic index and glycemic load.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-08-15 03:45:58"}

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