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Prediction of various insulin resistance indices for the risk of hypertension among military young adults: the CHIEF cohort study, 2014-2020
Non-insulin-based insulin resistance (NI-IR) indices have been reported to have an association with prevalent hypertension, however, no cohort studies to date have compared their prediction of hypertension among young adults. A total of 2,448 military men and women, aged 18-39 years, without baselin...
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| Published in: | Cardiovascular diabetology 2024-04, Vol.23 (1), p.141-141, Article 141 |
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| creator | Tsai, Kun-Zhe Chu, Chen-Chih Huang, Wei-Chun Sui, Xuemei Lavie, Carl J Lin, Gen-Min |
| description | Non-insulin-based insulin resistance (NI-IR) indices have been reported to have an association with prevalent hypertension, however, no cohort studies to date have compared their prediction of hypertension among young adults.
A total of 2,448 military men and women, aged 18-39 years, without baseline hypertension in Taiwan were followed for incident hypertension events from 2014 until the end of 2020. All subjects underwent annual health examinations including measurements of blood pressure (BP) in mmHg. Systolic BP (SBP) 130-139/diastolic BP (DBP) |
| doi_str_mv | 10.1186/s12933-024-02229-8 |
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A total of 2,448 military men and women, aged 18-39 years, without baseline hypertension in Taiwan were followed for incident hypertension events from 2014 until the end of 2020. All subjects underwent annual health examinations including measurements of blood pressure (BP) in mmHg. Systolic BP (SBP) 130-139/diastolic BP (DBP) < 80, SBP < 130/DBP 80-89, and SBP 130-139/DBP 80-89 were respectively defined as stage I isolated systolic hypertension (ISH), isolated diastolic hypertension (IDH) and combined hypertension (CH). The cut-off levels of stage II hypertension for SBP and DBP were 140-159 and 90-99, respectively. Four NI-IR indices included the ratio of serum triglycerides (TG) to high-density lipoprotein cholesterol (HDL-C), TyG index defined as ln[TG* fasting glucose (FG)/2], Metabolic Score for IR (METS-IR) defined as ln[(2* FG) + TG)* body mass index (BMI)/(ln(HDL-C))], and ZJU index defined as BMI + FG + TG + 3* alanine transaminase/aspartate transaminase (+ 2 if female). Multivariable Cox regression analysis was performed with adjustments for baseline age, sex, body mass index, BP, substance use, family history for early onset cardiovascular diseases or hypertension, low-density lipoprotein cholesterol, kidney function, serum uric acid and physical activity to determine the associations.
During a median follow-up of 6.0 years, there were 920 hypertension events (37.6%). Greater TyG, TG/HDL-C and METS-IR indices were associated with a higher risk of stage I IDH (hazard ratios (HRs) and 95% confidence intervals: 1.376 (1.123-1.687), 1.082 (1.039-1.127) and 3.455 (1.921-6.214), respectively), whereas only greater ZJU index was associated with a higher risk of stage II IDH [HRs: 1.011 (1.001-1.021)]. In addition, greater ZJU index was associated with a higher risk of stage II ISH [HR: 1.013 (1.003-1.023)], and greater TyG index was associated with a higher risk of stage II CH [HR: 2.821 (1.244-6.395)].
Insulin resistance assessed by various NI-IR indices was associated with a higher risk of hypertension in young adults, while the assessment ability for specific hypertension category may differ by NI-IR indices.</description><identifier>ISSN: 1475-2840</identifier><identifier>EISSN: 1475-2840</identifier><identifier>DOI: 10.1186/s12933-024-02229-8</identifier><identifier>PMID: 38664804</identifier><language>eng</language><publisher>England: BioMed Central</publisher><subject>Adolescent ; Adult ; Age Factors ; Alanine transaminase ; Alcohol use ; Antihypertensives ; Armed forces ; Aspartate transaminase ; Biomarkers ; Biomarkers - blood ; Blood Glucose - metabolism ; Blood Pressure ; Body mass index ; Body measurements ; Cardiovascular diseases ; Cholesterol ; Cohort analysis ; Cohort study ; Diabetes ; Epidemiology ; Exercise ; Family medical history ; Female ; Health risk assessment ; Health risks ; High density lipoprotein ; Humans ; Hypertension ; Hypertension - blood ; Hypertension - diagnosis ; Hypertension - epidemiology ; Hypertension - physiopathology ; Incidence ; Insulin Resistance ; Insulin resistance indices ; Kidney diseases ; Male ; Medical screening ; Metabolic disorders ; Metabolism ; Metabolites ; Military Health ; Military Personnel ; Physical activity ; Physical fitness ; Predictive Value of Tests ; Prognosis ; Regression analysis ; Risk Assessment ; Risk Factors ; Substance use ; Taiwan - epidemiology ; Time Factors ; Triglycerides ; Triglycerides - blood ; Uric acid ; Young Adult ; Young adults</subject><ispartof>Cardiovascular diabetology, 2024-04, Vol.23 (1), p.141-141, Article 141</ispartof><rights>2024. The Author(s).</rights><rights>2024. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c459t-6e9ccea5a1686e27f4cc1d0e31067cbe285eff29139e2000ba0507442d6b21bf3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/3054210861?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,25751,27922,27923,37010,37011,44588</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38664804$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Tsai, Kun-Zhe</creatorcontrib><creatorcontrib>Chu, Chen-Chih</creatorcontrib><creatorcontrib>Huang, Wei-Chun</creatorcontrib><creatorcontrib>Sui, Xuemei</creatorcontrib><creatorcontrib>Lavie, Carl J</creatorcontrib><creatorcontrib>Lin, Gen-Min</creatorcontrib><title>Prediction of various insulin resistance indices for the risk of hypertension among military young adults: the CHIEF cohort study, 2014-2020</title><title>Cardiovascular diabetology</title><addtitle>Cardiovasc Diabetol</addtitle><description>Non-insulin-based insulin resistance (NI-IR) indices have been reported to have an association with prevalent hypertension, however, no cohort studies to date have compared their prediction of hypertension among young adults.
A total of 2,448 military men and women, aged 18-39 years, without baseline hypertension in Taiwan were followed for incident hypertension events from 2014 until the end of 2020. All subjects underwent annual health examinations including measurements of blood pressure (BP) in mmHg. Systolic BP (SBP) 130-139/diastolic BP (DBP) < 80, SBP < 130/DBP 80-89, and SBP 130-139/DBP 80-89 were respectively defined as stage I isolated systolic hypertension (ISH), isolated diastolic hypertension (IDH) and combined hypertension (CH). The cut-off levels of stage II hypertension for SBP and DBP were 140-159 and 90-99, respectively. Four NI-IR indices included the ratio of serum triglycerides (TG) to high-density lipoprotein cholesterol (HDL-C), TyG index defined as ln[TG* fasting glucose (FG)/2], Metabolic Score for IR (METS-IR) defined as ln[(2* FG) + TG)* body mass index (BMI)/(ln(HDL-C))], and ZJU index defined as BMI + FG + TG + 3* alanine transaminase/aspartate transaminase (+ 2 if female). Multivariable Cox regression analysis was performed with adjustments for baseline age, sex, body mass index, BP, substance use, family history for early onset cardiovascular diseases or hypertension, low-density lipoprotein cholesterol, kidney function, serum uric acid and physical activity to determine the associations.
During a median follow-up of 6.0 years, there were 920 hypertension events (37.6%). Greater TyG, TG/HDL-C and METS-IR indices were associated with a higher risk of stage I IDH (hazard ratios (HRs) and 95% confidence intervals: 1.376 (1.123-1.687), 1.082 (1.039-1.127) and 3.455 (1.921-6.214), respectively), whereas only greater ZJU index was associated with a higher risk of stage II IDH [HRs: 1.011 (1.001-1.021)]. In addition, greater ZJU index was associated with a higher risk of stage II ISH [HR: 1.013 (1.003-1.023)], and greater TyG index was associated with a higher risk of stage II CH [HR: 2.821 (1.244-6.395)].
Insulin resistance assessed by various NI-IR indices was associated with a higher risk of hypertension in young adults, while the assessment ability for specific hypertension category may differ by NI-IR indices.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Age Factors</subject><subject>Alanine transaminase</subject><subject>Alcohol use</subject><subject>Antihypertensives</subject><subject>Armed forces</subject><subject>Aspartate transaminase</subject><subject>Biomarkers</subject><subject>Biomarkers - blood</subject><subject>Blood Glucose - metabolism</subject><subject>Blood Pressure</subject><subject>Body mass index</subject><subject>Body measurements</subject><subject>Cardiovascular diseases</subject><subject>Cholesterol</subject><subject>Cohort analysis</subject><subject>Cohort study</subject><subject>Diabetes</subject><subject>Epidemiology</subject><subject>Exercise</subject><subject>Family medical history</subject><subject>Female</subject><subject>Health risk assessment</subject><subject>Health risks</subject><subject>High density lipoprotein</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Hypertension - blood</subject><subject>Hypertension - diagnosis</subject><subject>Hypertension - epidemiology</subject><subject>Hypertension - physiopathology</subject><subject>Incidence</subject><subject>Insulin Resistance</subject><subject>Insulin resistance indices</subject><subject>Kidney diseases</subject><subject>Male</subject><subject>Medical screening</subject><subject>Metabolic disorders</subject><subject>Metabolism</subject><subject>Metabolites</subject><subject>Military Health</subject><subject>Military Personnel</subject><subject>Physical activity</subject><subject>Physical fitness</subject><subject>Predictive Value of Tests</subject><subject>Prognosis</subject><subject>Regression analysis</subject><subject>Risk Assessment</subject><subject>Risk Factors</subject><subject>Substance use</subject><subject>Taiwan - epidemiology</subject><subject>Time Factors</subject><subject>Triglycerides</subject><subject>Triglycerides - blood</subject><subject>Uric acid</subject><subject>Young Adult</subject><subject>Young adults</subject><issn>1475-2840</issn><issn>1475-2840</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpdkc2OFCEUhYnROD_6Ai4MiRsXU3qhKIpyN-nMOJ1MogtdE4q6TNNWFS1QJv0OPrR09zgxLghw851zLxxC3jD4wJiSHxPjXV1XwEVZnHeVekbOmWibiisBz_85n5GLlLYArFWSvSRntZJSKBDn5PfXiIO32YeZBkd_mejDkqif0zL6mUZMPmUzWyylwmGiLkSaN0ijTz8Oks1-hzHjnA4WZgrzA5386LOJe7oPS7maYRlz-nRUre7WN7fUhk2Imaa8DPsryoGJigOHV-SFM2PC14_7Jfl-e_NtdVfdf_m8Xl3fV1Y0Xa4kdtaiaQyTSiJvnbCWDYA1A9naHrlq0DnesbpDDgC9gQZaIfgge856V1-S9cl3CGard9FPZVgdjNfHQogP2sTs7YgauJXKAHfOoVCNMaJ1SgjRuVZ0BmXxen_y2sXwc8GU9eSTxXE0M5af1DWItiu9VVPQd_-h27DEuby0UI3gDEo6heInysaQUkT3NCADfchdn3Ivowl9zF2rInr7aL30Ew5Pkr9B138AQjGn8g</recordid><startdate>20240425</startdate><enddate>20240425</enddate><creator>Tsai, Kun-Zhe</creator><creator>Chu, Chen-Chih</creator><creator>Huang, Wei-Chun</creator><creator>Sui, Xuemei</creator><creator>Lavie, Carl J</creator><creator>Lin, Gen-Min</creator><general>BioMed Central</general><general>BMC</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>3V.</scope><scope>7T5</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H94</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><scope>DOA</scope></search><sort><creationdate>20240425</creationdate><title>Prediction of various insulin resistance indices for the risk of hypertension among military young adults: the CHIEF cohort study, 2014-2020</title><author>Tsai, Kun-Zhe ; Chu, Chen-Chih ; Huang, Wei-Chun ; Sui, Xuemei ; Lavie, Carl J ; Lin, Gen-Min</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c459t-6e9ccea5a1686e27f4cc1d0e31067cbe285eff29139e2000ba0507442d6b21bf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Age Factors</topic><topic>Alanine transaminase</topic><topic>Alcohol use</topic><topic>Antihypertensives</topic><topic>Armed forces</topic><topic>Aspartate transaminase</topic><topic>Biomarkers</topic><topic>Biomarkers - 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Academic</collection><collection>Directory of Open Access Journals</collection><jtitle>Cardiovascular diabetology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tsai, Kun-Zhe</au><au>Chu, Chen-Chih</au><au>Huang, Wei-Chun</au><au>Sui, Xuemei</au><au>Lavie, Carl J</au><au>Lin, Gen-Min</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prediction of various insulin resistance indices for the risk of hypertension among military young adults: the CHIEF cohort study, 2014-2020</atitle><jtitle>Cardiovascular diabetology</jtitle><addtitle>Cardiovasc Diabetol</addtitle><date>2024-04-25</date><risdate>2024</risdate><volume>23</volume><issue>1</issue><spage>141</spage><epage>141</epage><pages>141-141</pages><artnum>141</artnum><issn>1475-2840</issn><eissn>1475-2840</eissn><abstract>Non-insulin-based insulin resistance (NI-IR) indices have been reported to have an association with prevalent hypertension, however, no cohort studies to date have compared their prediction of hypertension among young adults.
A total of 2,448 military men and women, aged 18-39 years, without baseline hypertension in Taiwan were followed for incident hypertension events from 2014 until the end of 2020. All subjects underwent annual health examinations including measurements of blood pressure (BP) in mmHg. Systolic BP (SBP) 130-139/diastolic BP (DBP) < 80, SBP < 130/DBP 80-89, and SBP 130-139/DBP 80-89 were respectively defined as stage I isolated systolic hypertension (ISH), isolated diastolic hypertension (IDH) and combined hypertension (CH). The cut-off levels of stage II hypertension for SBP and DBP were 140-159 and 90-99, respectively. Four NI-IR indices included the ratio of serum triglycerides (TG) to high-density lipoprotein cholesterol (HDL-C), TyG index defined as ln[TG* fasting glucose (FG)/2], Metabolic Score for IR (METS-IR) defined as ln[(2* FG) + TG)* body mass index (BMI)/(ln(HDL-C))], and ZJU index defined as BMI + FG + TG + 3* alanine transaminase/aspartate transaminase (+ 2 if female). Multivariable Cox regression analysis was performed with adjustments for baseline age, sex, body mass index, BP, substance use, family history for early onset cardiovascular diseases or hypertension, low-density lipoprotein cholesterol, kidney function, serum uric acid and physical activity to determine the associations.
During a median follow-up of 6.0 years, there were 920 hypertension events (37.6%). Greater TyG, TG/HDL-C and METS-IR indices were associated with a higher risk of stage I IDH (hazard ratios (HRs) and 95% confidence intervals: 1.376 (1.123-1.687), 1.082 (1.039-1.127) and 3.455 (1.921-6.214), respectively), whereas only greater ZJU index was associated with a higher risk of stage II IDH [HRs: 1.011 (1.001-1.021)]. In addition, greater ZJU index was associated with a higher risk of stage II ISH [HR: 1.013 (1.003-1.023)], and greater TyG index was associated with a higher risk of stage II CH [HR: 2.821 (1.244-6.395)].
Insulin resistance assessed by various NI-IR indices was associated with a higher risk of hypertension in young adults, while the assessment ability for specific hypertension category may differ by NI-IR indices.</abstract><cop>England</cop><pub>BioMed Central</pub><pmid>38664804</pmid><doi>10.1186/s12933-024-02229-8</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Adolescent Adult Age Factors Alanine transaminase Alcohol use Antihypertensives Armed forces Aspartate transaminase Biomarkers Biomarkers - blood Blood Glucose - metabolism Blood Pressure Body mass index Body measurements Cardiovascular diseases Cholesterol Cohort analysis Cohort study Diabetes Epidemiology Exercise Family medical history Female Health risk assessment Health risks High density lipoprotein Humans Hypertension Hypertension - blood Hypertension - diagnosis Hypertension - epidemiology Hypertension - physiopathology Incidence Insulin Resistance Insulin resistance indices Kidney diseases Male Medical screening Metabolic disorders Metabolism Metabolites Military Health Military Personnel Physical activity Physical fitness Predictive Value of Tests Prognosis Regression analysis Risk Assessment Risk Factors Substance use Taiwan - epidemiology Time Factors Triglycerides Triglycerides - blood Uric acid Young Adult Young adults |
| title | Prediction of various insulin resistance indices for the risk of hypertension among military young adults: the CHIEF cohort study, 2014-2020 |
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