Potassium Intake and the Prevalence of Metabolic Syndrome: The Korean National Health and Nutrition Examination Survey 2008–2010
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{"title"=>"Potassium Intake and the Prevalence of Metabolic Syndrome: The Korean National Health and Nutrition Examination Survey 2008–2010", "type"=>"journal", "authors"=>[{"first_name"=>"Hajeong", "last_name"=>"Lee"}, {"first_name"=>"Jeonghwan", "last_name"=>"Lee"}, {"first_name"=>"Seung-sik", "last_name"=>"Hwang"}, {"first_name"=>"Sejoong", "last_name"=>"Kim"}, {"first_name"=>"Ho Jun", "last_name"=>"Chin"}, {"first_name"=>"Jin Suk", "last_name"=>"Han"}, {"first_name"=>"Nam Ju", "last_name"=>"Heo"}], "year"=>2013, "source"=>"PLoS ONE", "identifiers"=>{"doi"=>"10.1371/journal.pone.0055106", "pmid"=>"23372822", "issn"=>"1932-6203", "isbn"=>"1932-6203"}, "id"=>"41825961-6515-31b1-b98d-916256cca345", "abstract"=>"Lower potassium intake is considered to be correlated with diabetes incidence. However, few studies have investigated the effect of potassium intake on metabolic syndrome (MetS). Data was taken from the Korean National Health and Nutritional Examination Survey (2008-2010) using weighted adjustment. MetS was defined as per the revised National Cholesterol Education Program criteria. Homeostasis model assessment indices were calculated to diagnosis insulin resistance (IR). A total of 16,637 participants (44 ± 0.25 years) were included. Women ingested lower amounts of potassium (2.71 ± 0.02 g/day) than men (3.45 ± 0.03 g/day). A curvilinear association between potassium intake and MetS prevalence was found among women. Women with less than the Adequate Intake (4.7 g/day) of potassium had an 11% risk reduction for MetS (adjusted odds ratio [OR], 0.89; 95% confidence interval [CI], 0.82-0.96; P = 0.004) and a 10% risk reduction for IR (OR, 0.90; 95% CI, 0.82-0.99; P = 0.026) for every 1 g/day potassium increase. Compared with the reference group (3.5-4.5 g/day), potassium intake was inversely associated with an increased risk of MetS (1.5-2.5 g/day; OR, 1.29; 95% CI, 1.02-1.63; P = 0.035; <1.5 g/day; OR, 1.40; 95% CI, 1.06-1.85; P = 0.017) and IR (<1.5 g/day; OR, 1.36; 95% CI, 1.05-1.76; P = 0.021). This relationship was more prominent in postmenopausal women, but not observed among men. Higher potassium intake is significantly associated with a lower MetS prevalence in women, and IR is believed to be connected.", "link"=>"http://www.mendeley.com/research/potassium-intake-prevalence-metabolic-syndrome-korean-national-health-nutrition-examination-survey-2-3", "reader_count"=>20, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Professor > Associate Professor"=>3, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>3, "Student > Master"=>5, "Other"=>2, "Student > Bachelor"=>5}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Professor > Associate Professor"=>3, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>3, "Student > Master"=>5, "Other"=>2, "Student > Bachelor"=>5}, "reader_count_by_subject_area"=>{"Unspecified"=>4, "Nursing and Health Professions"=>3, "Biochemistry, Genetics and Molecular Biology"=>1, "Medicine and Dentistry"=>7, "Agricultural and Biological Sciences"=>3, "Sports and Recreations"=>1, "Social Sciences"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>7}, "Social Sciences"=>{"Social Sciences"=>1}, "Sports and Recreations"=>{"Sports and Recreations"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>3}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>3}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>1}, "Unspecified"=>{"Unspecified"=>4}}, "reader_count_by_country"=>{"Korea (South)"=>1}, "group_count"=>2}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/501142"], "description"=>"<p>Participants with potassium 3.5–4.5 g/day were reference group. Numbers are presented with percentages in parentheses in each potassium group. Odds ratios are given with 95% confidence interval in parentheses.</p><p>Model I: Adjusted for age, BMI.</p><p>Model II: Adjusted for Model I+alcohol intake, exercise, education, income, residential area, frequency of fruit intake, energy, and carbohydrate energy ratio.</p><p>Abbreviations: IR, insulin resistance; BMI, body mass index; OR, odds ratio; CI, confidence interval.</p>", "links"=>[], "tags"=>["potassium", "intake", "insulin"], "article_id"=>171661, "categories"=>["Chemistry", "Physiology", "Genetics", "Biotechnology"], "users"=>["Hajeong Lee", "Jeonghwan Lee", "Seung-sik Hwang", "Sejoong Kim", "Ho Jun Chin", "Jin Suk Han", "Nam Ju Heo"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0055106.t005", "stats"=>{"downloads"=>0, "page_views"=>1, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Association_between_potassium_intake_and_insulin_resistance_/171661", "title"=>"Association between potassium intake and insulin resistance.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-19 16:29:26"}
  • {"files"=>["https://ndownloader.figshare.com/files/501257"], "description"=>"<p>Data are presented with survey means ± SD for continuous variables and percentages for categorical variables. <i>P</i> values were based on the one-way analysis of variance test and χ<sup>2</sup> test.</p><p>Abbreviations: BMI, Body mass index; MS, metabolic syndrome; HDL, high density lipoprotein; CHO, carbohydrate.</p>", "links"=>[], "tags"=>["characteristics", "women", "potassium"], "article_id"=>171774, "categories"=>["Chemistry", "Physiology", "Genetics", "Biotechnology"], "users"=>["Hajeong Lee", "Jeonghwan Lee", "Seung-sik Hwang", "Sejoong Kim", "Ho Jun Chin", "Jin Suk Han", "Nam Ju Heo"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0055106.t002", "stats"=>{"downloads"=>1, "page_views"=>38, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Demographic_characteristics_of_women_according_to_potassium_intake_/171774", "title"=>"Demographic characteristics of women according to potassium intake.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-19 16:30:02"}
  • {"files"=>["https://ndownloader.figshare.com/files/501188"], "description"=>"<p>Participants with potassium 3.5–4.5 g/day were reference group. Numbers are presented with percentages in parentheses in each potassium group. Odds ratios are given with 95% confidence interval in parentheses.</p><p>Model I: Adjusted for age, BMI.</p><p>Model II: Adjusted for Model I+alcohol intake, exercise, education, income, residential area, frequency of fruit intake, energy, and carbohydrate energy ratio.</p><p>Abbreviations: MetS: metabolic syndrome; BP, blood pressure; HDL-C, high-density lipoprotein cholesterol; BMI, body mass index; OR, odds ratio; CI, confidence interval.</p>", "links"=>[], "tags"=>["potassium", "intake", "mets"], "article_id"=>171701, "categories"=>["Chemistry", "Physiology", "Genetics", "Biotechnology"], "users"=>["Hajeong Lee", "Jeonghwan Lee", "Seung-sik Hwang", "Sejoong Kim", "Ho Jun Chin", "Jin Suk Han", "Nam Ju Heo"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0055106.t004", "stats"=>{"downloads"=>0, "page_views"=>1, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Association_between_potassium_intake_and_MetS_components_/171701", "title"=>"Association between potassium intake and MetS components.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-19 16:29:38"}
  • {"files"=>["https://ndownloader.figshare.com/files/501290"], "description"=>"<p>Data are presented with survey means ± standard errors for continuous variables and weighted percentages (95% confidence interval) for categorical variables.</p><p>Abbreviations: BMI, Body mass index; MS, metabolic syndrome; HRT, hormone replacement therapy; HDL, high density lipoprotein.</p>", "links"=>[], "tags"=>["characteristics"], "article_id"=>171809, "categories"=>["Chemistry", "Physiology", "Genetics", "Biotechnology"], "users"=>["Hajeong Lee", "Jeonghwan Lee", "Seung-sik Hwang", "Sejoong Kim", "Ho Jun Chin", "Jin Suk Han", "Nam Ju Heo"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0055106.t001", "stats"=>{"downloads"=>0, "page_views"=>37, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Demographic_and_clinical_characteristics_of_overall_study_population_/171809", "title"=>"Demographic and clinical characteristics of overall study population.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-19 16:30:14"}
  • {"files"=>["https://ndownloader.figshare.com/files/500837"], "description"=>"<p>Probabilities of metabolic syndrome are presented in y axis in men and women. Gray shadow means 95% confidence interval.</p>", "links"=>[], "tags"=>["cubic", "spline", "potassium", "intake", "metabolic"], "article_id"=>171357, "categories"=>["Chemistry", "Physiology", "Genetics", "Biotechnology"], "users"=>["Hajeong Lee", "Jeonghwan Lee", "Seung-sik Hwang", "Sejoong Kim", "Ho Jun Chin", "Jin Suk Han", "Nam Ju Heo"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0055106.g002", "stats"=>{"downloads"=>1, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Unadjusted_cubic_spline_of_the_relationship_between_potassium_intake_and_metabolic_syndrome_according_to_sex_/171357", "title"=>"Unadjusted cubic spline of the relationship between potassium intake and metabolic syndrome according to sex.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-19 16:27:49"}
  • {"files"=>["https://ndownloader.figshare.com/files/500766"], "description"=>"<p>A histogram of potassium intake and numbers of participants is presented in men and women. Dashed lines reveal 4.7 g/day of potassium amount, which has been recognized as Adequate Intake of potassium.</p>", "links"=>[], "tags"=>["potassium", "intake"], "article_id"=>171274, "categories"=>["Chemistry", "Physiology", "Genetics", "Biotechnology"], "users"=>["Hajeong Lee", "Jeonghwan Lee", "Seung-sik Hwang", "Sejoong Kim", "Ho Jun Chin", "Jin Suk Han", "Nam Ju Heo"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0055106.g001", "stats"=>{"downloads"=>0, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Different_distribution_of_potassium_intake_according_to_sex_/171274", "title"=>"Different distribution of potassium intake according to sex.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-19 16:27:19"}
  • {"files"=>["https://ndownloader.figshare.com/files/500970"], "description"=>"<p>The adjusted model includes age, body mass index, alcohol intake, education, income, frequency of fruit intake, energy intake and carbohydrate energy intake. Odds ratios for metabolic syndrome are presented in y axis as log scale. Gray shadow means 95% confidence interval.</p>", "links"=>[], "tags"=>["cubic", "spline", "potassium", "intake", "metabolic"], "article_id"=>171478, "categories"=>["Chemistry", "Physiology", "Genetics", "Biotechnology"], "users"=>["Hajeong Lee", "Jeonghwan Lee", "Seung-sik Hwang", "Sejoong Kim", "Ho Jun Chin", "Jin Suk Han", "Nam Ju Heo"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0055106.g003", "stats"=>{"downloads"=>1, "page_views"=>14, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Adjusted_cubic_spline_of_the_relationship_between_potassium_intake_and_metabolic_syndrome_/171478", "title"=>"Adjusted cubic spline of the relationship between potassium intake and metabolic syndrome.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-19 16:28:28"}
  • {"files"=>["https://ndownloader.figshare.com/files/501221"], "description"=>"<p>Participants with potassium 3.5–4.5 g/day were reference group. Numbers are presented with percentages in parentheses in each potassium group. Odds ratios are given with 95% confidence interval in parentheses.</p><p>Model I: Adjusted for age, BMI.</p><p>Model II: Adjusted for Model I+alcohol intake, exercise, education, income, residential area, frequency of fruit intake, energy, and carbohydrate energy ratio.</p><p>Abbreviations: MS, metabolic syndrome; BMI, body mass index; OR, odds ratio; CI, confidence interval.</p>", "links"=>[], "tags"=>["potassium", "intake", "ms"], "article_id"=>171734, "categories"=>["Chemistry", "Physiology", "Genetics", "Biotechnology"], "users"=>["Hajeong Lee", "Jeonghwan Lee", "Seung-sik Hwang", "Sejoong Kim", "Ho Jun Chin", "Jin Suk Han", "Nam Ju Heo"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0055106.t003", "stats"=>{"downloads"=>0, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Association_between_potassium_intake_and_MS_prevalence_/171734", "title"=>"Association between potassium intake and MS prevalence.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-19 16:29:50"}

PMC Usage Stats | Further Information

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  • {"unique-ip"=>"7", "full-text"=>"8", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"3"}
  • {"unique-ip"=>"11", "full-text"=>"11", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"4"}
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  • {"unique-ip"=>"9", "full-text"=>"7", "pdf"=>"7", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"7"}
  • {"unique-ip"=>"5", "full-text"=>"5", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"8"}
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Relative Metric

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