Insulin Resistance Is an Independent Determinate of ED in Young Adult Men
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{"title"=>"Insulin resistance is an independent determinate of ED in young adult men", "type"=>"journal", "authors"=>[{"first_name"=>"Shengfu", "last_name"=>"Chen", "scopus_author_id"=>"55487516300"}, {"first_name"=>"Rongpei", "last_name"=>"Wu", "scopus_author_id"=>"8305855500"}, {"first_name"=>"Yanping", "last_name"=>"Huang", "scopus_author_id"=>"53881424200"}, {"first_name"=>"Fufu", "last_name"=>"Zheng", "scopus_author_id"=>"15128290500"}, {"first_name"=>"Yangbin", "last_name"=>"Ou", "scopus_author_id"=>"56080334300"}, {"first_name"=>"Xiangan", "last_name"=>"Tu", "scopus_author_id"=>"35077833400"}, {"first_name"=>"Yadong", "last_name"=>"Zhang", "scopus_author_id"=>"53882298500"}, {"first_name"=>"Yong", "last_name"=>"Gao", "scopus_author_id"=>"56589211800"}, {"first_name"=>"Xin", "last_name"=>"Chen", "scopus_author_id"=>"57044979000"}, {"first_name"=>"Tao", "last_name"=>"Zheng", "scopus_author_id"=>"56079432000"}, {"first_name"=>"Qiyun", "last_name"=>"Yang", "scopus_author_id"=>"56080069800"}, {"first_name"=>"Zi", "last_name"=>"Wan", "scopus_author_id"=>"56080363900"}, {"first_name"=>"Yuanyuan", "last_name"=>"Zhang", "scopus_author_id"=>"55147034200"}, {"first_name"=>"Xiangzhou", "last_name"=>"Sun", "scopus_author_id"=>"8566457000"}, {"first_name"=>"Guihua", "last_name"=>"Liu", "scopus_author_id"=>"55706484500"}, {"first_name"=>"Chunhua", "last_name"=>"Deng", "scopus_author_id"=>"7202302559"}], "year"=>2013, "source"=>"PLoS ONE", "identifiers"=>{"scopus"=>"2-s2.0-84896714384", "isbn"=>"1932-6203 (Electronic)\r1932-6203 (Linking)", "doi"=>"10.1371/journal.pone.0083951", "pui"=>"372407342", "sgr"=>"84896714384", "issn"=>"19326203", "pmid"=>"24391852"}, "id"=>"6d33e3e1-ac55-3901-99f7-ac5a592e4049", "abstract"=>"BACKGROUND Insulin resistance (IR) triggers endothelial dysfunction, which contributes to erectile dysfunction (ED) and cardiovascular disease. AIM To evaluate whether IR was related to ED in young adult patients. METHODS A total of 283 consecutive men complaining of ED at least six months were enrolled, with a full medical history, physical examination, and laboratory tests collected. Quantitative Insulin Sensitivity Check Index (QUICKI) was used to determine IR. The severity of ED was assessed by IIEF-5 questionnaire. Endothelial function was assessed by ultrasonographic examination of brachial artery flow mediated dilation (FMD). RESULTS IR was detected in 52% patients. Subjects with IR had significant higher total cholesterol, triglycerides, low density lipoprotein-cholesterol (LDL-c), glycated haemoglobin (HBA1c), high sensitivity C-reactive protein (hs-CRP) and body mass index (BMI), but showed significant lower IIEF-5 score, FMD%, high density lipoprotein -cholesterol (HDL-c), testosterone, sex hormone binding globulin (SHBG) levels than patients without IR. Multiple regression analysis showed QUICKI and testosterone were independent predictors of IIEF-5 score. Furthermore, the incidence of IR was correlated with the severity of ED. CONCLUSIONS Compared with other CVFs, IR was found as the most prevalent in our subjects. Besides, IR was independently associated with ED and its severity, suggesting an adverse effect of insulin resistance on erectile function.", "link"=>"http://www.mendeley.com/research/insulin-resistance-independent-determinate-ed-young-adult-men", "reader_count"=>20, "reader_count_by_academic_status"=>{"Unspecified"=>2, "Librarian"=>1, "Researcher"=>4, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>2, "Student > Master"=>4, "Other"=>1, "Student > Bachelor"=>3, "Lecturer"=>2}, "reader_count_by_user_role"=>{"Unspecified"=>2, "Librarian"=>1, "Researcher"=>4, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>2, "Student > Master"=>4, "Other"=>1, "Student > Bachelor"=>3, "Lecturer"=>2}, "reader_count_by_subject_area"=>{"Unspecified"=>5, "Environmental Science"=>1, "Nursing and Health Professions"=>1, "Medicine and Dentistry"=>6, "Agricultural and Biological Sciences"=>3, "Neuroscience"=>1, "Sports and Recreations"=>1, "Pharmacology, Toxicology and Pharmaceutical Science"=>1, "Computer Science"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>6}, "Neuroscience"=>{"Neuroscience"=>1}, "Sports and Recreations"=>{"Sports and Recreations"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>3}, "Computer Science"=>{"Computer Science"=>1}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>1}, "Unspecified"=>{"Unspecified"=>5}, "Environmental Science"=>{"Environmental Science"=>1}, "Pharmacology, Toxicology and Pharmaceutical Science"=>{"Pharmacology, Toxicology and Pharmaceutical Science"=>1}}, "reader_count_by_country"=>{"United States"=>2, "United Kingdom"=>1}, "group_count"=>2}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1333424"], "description"=>"<p>IIEF-5 score, 5-item International Index of Erectile Function questionnaire. GSP, Glycated serum protein;HbA1c (%), Glycosylated hemoglobin; HDL-c, High- density lipoprotein cholesterol; LDL-c, Low-density lipoprotein cholesterol; hs-CRP, High sensitivity c-reactive protein; SHBG, Sex hormone binding globulin; FMD, flow mediated dilation;</p><p>Comparison between patients with and without IR by unpaired t-test, Mann-Whitney U-test or Chi-square test depending on the data distribution. Data are expressed as mean ±SD or as median (interquartiles range) for skwed variables</p><p><i>P*</i>, patients with QUICKI<0.357 compared with patients with QUICKI≥0.357.</p>", "links"=>[], "tags"=>["Anatomy and physiology", "Endocrine system", "Endocrine physiology", "insulin", "Reproductive endocrinology", "Reproductive system", "Genital anatomy", "cardiovascular", "Clinical research design", "Cohort studies", "Diagnostic medicine", "pathology", "General pathology", "biomarkers", "Endocrinology", "Diabetic endocrinology", "epidemiology", "Biomarker epidemiology", "Cardiovascular disease epidemiology", "Mental health", "psychiatry", "Sexual dysfunction", "Metabolic disorders", "Non-clinical medicine", "Health care policy", "Sexual and gender issues", "urology", "men", "ed", "ir"], "article_id"=>890080, "categories"=>["Medicine"], "users"=>["Shengfu Chen", "Rongpei Wu", "Yanping Huang", "Fufu Zheng", "Yangbin Ou", "Xiangan Tu", "Yadong Zhang", "Yong Gao", "Xin Chen", "Tao Zheng", "Qiyun Yang", "Zi Wan", "Yuanyuan Zhang", "Xiangzhou Sun", "Guihua Liu", "Chunhua Deng"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0083951.t002", "stats"=>{"downloads"=>2, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Clinical_characteristics_in_men_with_ED_associated_or_not_associated_to_IR_QUICKI_lt_0_357_/890080", "title"=>"Clinical characteristics in men with ED associated or not associated to IR (QUICKI<0.357).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-12-31 03:09:30"}
  • {"files"=>["https://ndownloader.figshare.com/files/1333418"], "description"=>"<p>Spearman correlation of the IIEF-5 score with QUICKI, testosterone, SHBG, FMD% and hs-CRP in our subjects.</p>", "links"=>[], "tags"=>["Anatomy and physiology", "Endocrine system", "Endocrine physiology", "insulin", "Reproductive endocrinology", "Reproductive system", "Genital anatomy", "cardiovascular", "Clinical research design", "Cohort studies", "Diagnostic medicine", "pathology", "General pathology", "biomarkers", "Endocrinology", "Diabetic endocrinology", "epidemiology", "Biomarker epidemiology", "Cardiovascular disease epidemiology", "Mental health", "psychiatry", "Sexual dysfunction", "Metabolic disorders", "Non-clinical medicine", "Health care policy", "Sexual and gender issues", "urology", "iief-5", "hs-crp"], "article_id"=>890075, "categories"=>["Medicine"], "users"=>["Shengfu Chen", "Rongpei Wu", "Yanping Huang", "Fufu Zheng", "Yangbin Ou", "Xiangan Tu", "Yadong Zhang", "Yong Gao", "Xin Chen", "Tao Zheng", "Qiyun Yang", "Zi Wan", "Yuanyuan Zhang", "Xiangzhou Sun", "Guihua Liu", "Chunhua Deng"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0083951.g002", "stats"=>{"downloads"=>0, "page_views"=>28, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Spearman_correlation_of_the_IIEF_5_score_with_QUICKI_testosterone_SHBG_FMD_and_hs_CRP_in_our_subjects_/890075", "title"=>"Spearman correlation of the IIEF-5 score with QUICKI, testosterone, SHBG, FMD% and hs-CRP in our subjects.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-12-31 03:09:30"}
  • {"files"=>["https://ndownloader.figshare.com/files/1333433"], "description"=>"<div><p>Background</p><p>Insulin resistance (IR) triggers endothelial dysfunction, which contributes to erectile dysfunction (ED) and cardiovascular disease.</p><p>Aim</p><p>To evaluate whether IR was related to ED in young adult patients.</p><p>Methods</p><p>A total of 283 consecutive men complaining of ED at least six months were enrolled, with a full medical history, physical examination, and laboratory tests collected. Quantitative Insulin Sensitivity Check Index (QUICKI) was used to determine IR. The severity of ED was assessed by IIEF-5 questionnaire. Endothelial function was assessed by ultrasonographic examination of brachial artery flow mediated dilation (FMD).</p><p>Results</p><p>IR was detected in 52% patients. Subjects with IR had significant higher total cholesterol, triglycerides, low density lipoprotein-cholesterol (LDL-c), glycated haemoglobin (HBA1c), high sensitivity C-reactive protein (hs-CRP) and body mass index (BMI), but showed significant lower IIEF-5 score, FMD%, high density lipoprotein -cholesterol (HDL-c), testosterone, sex hormone binding globulin (SHBG) levels than patients without IR. Multiple regression analysis showed QUICKI and testosterone were independent predictors of IIEF-5 score. Furthermore, the incidence of IR was correlated with the severity of ED.</p><p>Conclusions</p><p>Compared with other CVFs, IR was found as the most prevalent in our subjects. Besides, IR was independently associated with ED and its severity, suggesting an adverse effect of insulin resistance on erectile function.</p></div>", "links"=>[], "tags"=>["Anatomy and physiology", "Endocrine system", "Endocrine physiology", "insulin", "Reproductive endocrinology", "Reproductive system", "Genital anatomy", "cardiovascular", "Clinical research design", "Cohort studies", "Diagnostic medicine", "pathology", "General pathology", "biomarkers", "Endocrinology", "Diabetic endocrinology", "epidemiology", "Biomarker epidemiology", "Cardiovascular disease epidemiology", "Mental health", "psychiatry", "Sexual dysfunction", "Metabolic disorders", "Non-clinical medicine", "Health care policy", "Sexual and gender issues", "urology", "determinate", "ed"], "article_id"=>890088, "categories"=>["Medicine"], "users"=>["Shengfu Chen", "Rongpei Wu", "Yanping Huang", "Fufu Zheng", "Yangbin Ou", "Xiangan Tu", "Yadong Zhang", "Yong Gao", "Xin Chen", "Tao Zheng", "Qiyun Yang", "Zi Wan", "Yuanyuan Zhang", "Xiangzhou Sun", "Guihua Liu", "Chunhua Deng"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0083951", "stats"=>{"downloads"=>3, "page_views"=>14, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Insulin_Resistance_Is_an_Independent_Determinate_of_ED_in_Young_Adult_Men_/890088", "title"=>"Insulin Resistance Is an Independent Determinate of ED in Young Adult Men", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-12-31 03:09:30"}
  • {"files"=>["https://ndownloader.figshare.com/files/1333427"], "description"=>"<p>Dependent Variable: IIEF-5score.</p>", "links"=>[], "tags"=>["Anatomy and physiology", "Endocrine system", "Endocrine physiology", "insulin", "Reproductive endocrinology", "Reproductive system", "Genital anatomy", "cardiovascular", "Clinical research design", "Cohort studies", "Diagnostic medicine", "pathology", "General pathology", "biomarkers", "Endocrinology", "Diabetic endocrinology", "epidemiology", "Biomarker epidemiology", "Cardiovascular disease epidemiology", "Mental health", "psychiatry", "Sexual dysfunction", "Metabolic disorders", "Non-clinical medicine", "Health care policy", "Sexual and gender issues", "urology", "regression", "varieties", "cvfs", "variables", "iief-5score"], "article_id"=>890083, "categories"=>["Medicine"], "users"=>["Shengfu Chen", "Rongpei Wu", "Yanping Huang", "Fufu Zheng", "Yangbin Ou", "Xiangan Tu", "Yadong Zhang", "Yong Gao", "Xin Chen", "Tao Zheng", "Qiyun Yang", "Zi Wan", "Yuanyuan Zhang", "Xiangzhou Sun", "Guihua Liu", "Chunhua Deng"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0083951.t003", "stats"=>{"downloads"=>2, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Stepwise_regression_analysis_of_including_varieties_of_CVFs_as_independent_variables_and_IIEF_5score_as_a_dependent_variable_/890083", "title"=>"Stepwise regression analysis of including varieties of CVFs as independent variables and IIEF-5score as a dependent variable.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-12-31 03:09:30"}
  • {"files"=>["https://ndownloader.figshare.com/files/1333421"], "description"=>"<p>Patients with different degrees of erectile dysfunction in IR and N-IR state.</p>", "links"=>[], "tags"=>["Anatomy and physiology", "Endocrine system", "Endocrine physiology", "insulin", "Reproductive endocrinology", "Reproductive system", "Genital anatomy", "cardiovascular", "Clinical research design", "Cohort studies", "Diagnostic medicine", "pathology", "General pathology", "biomarkers", "Endocrinology", "Diabetic endocrinology", "epidemiology", "Biomarker epidemiology", "Cardiovascular disease epidemiology", "Mental health", "psychiatry", "Sexual dysfunction", "Metabolic disorders", "Non-clinical medicine", "Health care policy", "Sexual and gender issues", "urology", "degrees", "erectile", "dysfunction", "ir", "n-ir"], "article_id"=>890077, "categories"=>["Medicine"], "users"=>["Shengfu Chen", "Rongpei Wu", "Yanping Huang", "Fufu Zheng", "Yangbin Ou", "Xiangan Tu", "Yadong Zhang", "Yong Gao", "Xin Chen", "Tao Zheng", "Qiyun Yang", "Zi Wan", "Yuanyuan Zhang", "Xiangzhou Sun", "Guihua Liu", "Chunhua Deng"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0083951.g003", "stats"=>{"downloads"=>0, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Patients_with_different_degrees_of_erectile_dysfunction_in_IR_and_N_IR_state_/890077", "title"=>"Patients with different degrees of erectile dysfunction in IR and N-IR state.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-12-31 03:09:30"}
  • {"files"=>["https://ndownloader.figshare.com/files/1333417"], "description"=>"<p>IR, insulin resistance; LDL-c, Low-density lipoprotein cholesterol; FFA, Free fatty acids; TC, Total Cholesterol; BMI, Body mass index; LP-a,Lipoprotein-a; TG, Triglycerides; HDL-c, High- density lipoprotein cholesterol; IFG, Impaired fasting glucose; hs-CRP, high sensitivity c-reactive protein; DM, Diabetes Mellitus; HbA1c(%), Glycosylated hemoglobin; Various risk factors overlap and therefore do not add to 100%.</p>", "links"=>[], "tags"=>["Anatomy and physiology", "Endocrine system", "Endocrine physiology", "insulin", "Reproductive endocrinology", "Reproductive system", "Genital anatomy", "cardiovascular", "Clinical research design", "Cohort studies", "Diagnostic medicine", "pathology", "General pathology", "biomarkers", "Endocrinology", "Diabetic endocrinology", "epidemiology", "Biomarker epidemiology", "Cardiovascular disease epidemiology", "Mental health", "psychiatry", "Sexual dysfunction", "Metabolic disorders", "Non-clinical medicine", "Health care policy", "Sexual and gender issues", "urology", "incidence", "283", "ed"], "article_id"=>890073, "categories"=>["Medicine"], "users"=>["Shengfu Chen", "Rongpei Wu", "Yanping Huang", "Fufu Zheng", "Yangbin Ou", "Xiangan Tu", "Yadong Zhang", "Yong Gao", "Xin Chen", "Tao Zheng", "Qiyun Yang", "Zi Wan", "Yuanyuan Zhang", "Xiangzhou Sun", "Guihua Liu", "Chunhua Deng"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0083951.g001", "stats"=>{"downloads"=>0, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_incidence_of_various_cardiovascular_risk_factors_in_283_young_ED_patients_/890073", "title"=>"The incidence of various cardiovascular risk factors in 283 young ED patients.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-12-31 03:09:30"}
  • {"files"=>["https://ndownloader.figshare.com/files/1333428"], "description"=>"<p>IIEF-5, 5-item International Index of Erectile Function</p><p>Questionnaire; LDL-c, Low-density lipoprotein cholesterol;</p><p>HDL-c, High- density lipoprotein cholesterol; hs-CRP, High</p><p>sensitivity c-reactive protein; HbA1c(%), Glycosylated hemoglobin;</p><p>SHBG, Sex hormone binding globulin; FMD, flow mediated dilation.</p>", "links"=>[], "tags"=>["Anatomy and physiology", "Endocrine system", "Endocrine physiology", "insulin", "Reproductive endocrinology", "Reproductive system", "Genital anatomy", "cardiovascular", "Clinical research design", "Cohort studies", "Diagnostic medicine", "pathology", "General pathology", "biomarkers", "Endocrinology", "Diabetic endocrinology", "epidemiology", "Biomarker epidemiology", "Cardiovascular disease epidemiology", "Mental health", "psychiatry", "Sexual dysfunction", "Metabolic disorders", "Non-clinical medicine", "Health care policy", "Sexual and gender issues", "urology", "correlations", "quicki", "variables", "ed"], "article_id"=>890085, "categories"=>["Medicine"], "users"=>["Shengfu Chen", "Rongpei Wu", "Yanping Huang", "Fufu Zheng", "Yangbin Ou", "Xiangan Tu", "Yadong Zhang", "Yong Gao", "Xin Chen", "Tao Zheng", "Qiyun Yang", "Zi Wan", "Yuanyuan Zhang", "Xiangzhou Sun", "Guihua Liu", "Chunhua Deng"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0083951.t001", "stats"=>{"downloads"=>4, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Spearman_correlations_between_QUICKI_and_other_variables_in_young_ED_patients_/890085", "title"=>"Spearman correlations between QUICKI and other variables in young ED patients.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-12-31 03:09:30"}

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Relative Metric

{"start_date"=>"2013-01-01T00:00:00Z", "end_date"=>"2013-12-31T00:00:00Z", "subject_areas"=>[{"subject_area"=>"/Biology and life sciences", "average_usage"=>[269, 466, 588, 697, 800, 896, 988, 1076, 1165, 1254, 1340, 1417]}, {"subject_area"=>"/Biology and life sciences/Biochemistry", "average_usage"=>[266, 468, 593, 703, 804, 903, 993, 1084, 1171, 1256, 1339, 1422, 1492]}, {"subject_area"=>"/Biology and life sciences/Neuroscience", "average_usage"=>[261, 444, 554, 655, 748, 834, 923, 1004, 1089, 1170, 1244, 1315, 1380]}, {"subject_area"=>"/Biology and life sciences/Physiology", "average_usage"=>[256, 449, 572, 676, 775, 866, 955, 1041, 1127, 1213, 1290, 1370, 1437]}, {"subject_area"=>"/Medicine and health sciences/Endocrinology", "average_usage"=>[255, 447, 575, 680, 781, 872, 965, 1055, 1143, 1236, 1317, 1397, 1457]}]}
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