Higher Adherence to Healthy Lifestyle Score Is Associated with Lower Odds of Non-Alcoholic Fatty Liver Disease
Growing evidence supports that individual lifestyle factors contribute to the development of non-alcoholic fatty liver disease (NAFLD) without considering the coexistence and synergistic effect of lifestyle factors. Our aim is to derive a healthy lifestyle score (HLS) and estimate its association wi...
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description | Growing evidence supports that individual lifestyle factors contribute to the development of non-alcoholic fatty liver disease (NAFLD) without considering the coexistence and synergistic effect of lifestyle factors. Our aim is to derive a healthy lifestyle score (HLS) and estimate its association with NAFLD. In this nationwide cross-sectional study, we derived a five-item HLS including dietary pattern, body mass index, physical activity, cigarette smoking, and sleep duration. NAFLD and clinically significant fibrosis (CSF) were assessed based on vibration-controlled transient elastography (VCTE). Liver function parameters were also tested. Multivariable logistic and linear regressions were applied to investigate the association between HLS and liver diseases. Of the 3893 participants with VCTE examination, approximately 14.1% of participants possessed zero or one healthy lifestyle, 62.5% possessed two or three healthy lifestyles, and 23.4% possessed four or five healthy lifestyles. Compared with participants with a low HLS (0−1 score), the adjusted odds ratios and 95% confidence intervals for those with a high HLS (4−5 score) were 0.25 (0.19~0.33, Ptrend < 0.001) for NAFLD and 0.30 (0.18~0.50, Ptrend < 0.001) for CSF. HLS was positively associated with albumin, total protein, and total bilirubin (all Ptrend ≤ 0.001), and was inversely associated with globulin, alanine aminotransferase, and gamma-glutamyl transaminase (all Ptrend ≤ 0.003). Higher adherence to HLS is associated with lower odds of NAFLD and CSF and may improve liver function. Strategies for the promotion of a healthy lifestyle should be considered as part of NAFLD prevention. |
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Our aim is to derive a healthy lifestyle score (HLS) and estimate its association with NAFLD. In this nationwide cross-sectional study, we derived a five-item HLS including dietary pattern, body mass index, physical activity, cigarette smoking, and sleep duration. NAFLD and clinically significant fibrosis (CSF) were assessed based on vibration-controlled transient elastography (VCTE). Liver function parameters were also tested. Multivariable logistic and linear regressions were applied to investigate the association between HLS and liver diseases. Of the 3893 participants with VCTE examination, approximately 14.1% of participants possessed zero or one healthy lifestyle, 62.5% possessed two or three healthy lifestyles, and 23.4% possessed four or five healthy lifestyles. Compared with participants with a low HLS (0−1 score), the adjusted odds ratios and 95% confidence intervals for those with a high HLS (4−5 score) were 0.25 (0.19~0.33, Ptrend < 0.001) for NAFLD and 0.30 (0.18~0.50, Ptrend < 0.001) for CSF. HLS was positively associated with albumin, total protein, and total bilirubin (all Ptrend ≤ 0.001), and was inversely associated with globulin, alanine aminotransferase, and gamma-glutamyl transaminase (all Ptrend ≤ 0.003). Higher adherence to HLS is associated with lower odds of NAFLD and CSF and may improve liver function. Strategies for the promotion of a healthy lifestyle should be considered as part of NAFLD prevention.</description><identifier>ISSN: 2072-6643</identifier><identifier>EISSN: 2072-6643</identifier><identifier>DOI: 10.3390/nu14214462</identifier><identifier>PMID: 36364725</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Age ; Alanine ; Alanine transaminase ; Albumins ; Bilirubin ; Blood pressure ; Body mass ; Body mass index ; Body size ; Chi-square test ; Cigarette smoking ; Cigarettes ; Coexistence ; Cross-Sectional Studies ; Diabetes ; Diet ; Education ; Elasticity Imaging Techniques ; Ethnicity ; Exercise ; Family income ; Fatty liver ; Fibrosis ; Food habits ; Globulins ; Health aspects ; Health behavior ; Healthy Lifestyle ; Hepatitis ; Households ; Humans ; Hypertension ; Laboratories ; Life Style ; Lifestyles ; Liver ; Liver cancer ; Liver diseases ; Mortality ; Multivariable control ; Non-alcoholic Fatty Liver Disease - diagnosis ; Non-alcoholic Fatty Liver Disease - epidemiology ; Physical activity ; Physical fitness ; Prevention ; Questionnaires ; Risk factors ; Secondary schools ; Sleep ; Smoking ; Surveys ; Synergistic effect ; Vibration ; Womens health</subject><ispartof>Nutrients, 2022-10, Vol.14 (21), p.4462</ispartof><rights>COPYRIGHT 2022 MDPI AG</rights><rights>2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2022 by the authors. 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c473t-4faa5dd565327191ad8895dcdc87a252a8bd1ad8534a978441d4af07212aba8e3</citedby><cites>FETCH-LOGICAL-c473t-4faa5dd565327191ad8895dcdc87a252a8bd1ad8534a978441d4af07212aba8e3</cites><orcidid>0000-0002-7365-2689</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9657000/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9657000/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36364725$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhu, Yu</creatorcontrib><creatorcontrib>Yang, Hu</creatorcontrib><creatorcontrib>Liang, Shaoxian</creatorcontrib><creatorcontrib>Zhang, Honghua</creatorcontrib><creatorcontrib>Mo, Yufeng</creatorcontrib><creatorcontrib>Rao, Songxian</creatorcontrib><creatorcontrib>Zhang, Yaozong</creatorcontrib><creatorcontrib>Zhang, Zhuang</creatorcontrib><creatorcontrib>Wang, Weiqiang</creatorcontrib><creatorcontrib>Yang, Wanshui</creatorcontrib><title>Higher Adherence to Healthy Lifestyle Score Is Associated with Lower Odds of Non-Alcoholic Fatty Liver Disease</title><title>Nutrients</title><addtitle>Nutrients</addtitle><description>Growing evidence supports that individual lifestyle factors contribute to the development of non-alcoholic fatty liver disease (NAFLD) without considering the coexistence and synergistic effect of lifestyle factors. Our aim is to derive a healthy lifestyle score (HLS) and estimate its association with NAFLD. In this nationwide cross-sectional study, we derived a five-item HLS including dietary pattern, body mass index, physical activity, cigarette smoking, and sleep duration. NAFLD and clinically significant fibrosis (CSF) were assessed based on vibration-controlled transient elastography (VCTE). Liver function parameters were also tested. Multivariable logistic and linear regressions were applied to investigate the association between HLS and liver diseases. Of the 3893 participants with VCTE examination, approximately 14.1% of participants possessed zero or one healthy lifestyle, 62.5% possessed two or three healthy lifestyles, and 23.4% possessed four or five healthy lifestyles. Compared with participants with a low HLS (0−1 score), the adjusted odds ratios and 95% confidence intervals for those with a high HLS (4−5 score) were 0.25 (0.19~0.33, Ptrend < 0.001) for NAFLD and 0.30 (0.18~0.50, Ptrend < 0.001) for CSF. HLS was positively associated with albumin, total protein, and total bilirubin (all Ptrend ≤ 0.001), and was inversely associated with globulin, alanine aminotransferase, and gamma-glutamyl transaminase (all Ptrend ≤ 0.003). Higher adherence to HLS is associated with lower odds of NAFLD and CSF and may improve liver function. Strategies for the promotion of a healthy lifestyle should be considered as part of NAFLD prevention.</description><subject>Age</subject><subject>Alanine</subject><subject>Alanine transaminase</subject><subject>Albumins</subject><subject>Bilirubin</subject><subject>Blood pressure</subject><subject>Body mass</subject><subject>Body mass index</subject><subject>Body size</subject><subject>Chi-square test</subject><subject>Cigarette smoking</subject><subject>Cigarettes</subject><subject>Coexistence</subject><subject>Cross-Sectional Studies</subject><subject>Diabetes</subject><subject>Diet</subject><subject>Education</subject><subject>Elasticity Imaging Techniques</subject><subject>Ethnicity</subject><subject>Exercise</subject><subject>Family income</subject><subject>Fatty liver</subject><subject>Fibrosis</subject><subject>Food habits</subject><subject>Globulins</subject><subject>Health aspects</subject><subject>Health behavior</subject><subject>Healthy Lifestyle</subject><subject>Hepatitis</subject><subject>Households</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Laboratories</subject><subject>Life Style</subject><subject>Lifestyles</subject><subject>Liver</subject><subject>Liver cancer</subject><subject>Liver diseases</subject><subject>Mortality</subject><subject>Multivariable control</subject><subject>Non-alcoholic Fatty Liver Disease - diagnosis</subject><subject>Non-alcoholic Fatty Liver Disease - epidemiology</subject><subject>Physical activity</subject><subject>Physical fitness</subject><subject>Prevention</subject><subject>Questionnaires</subject><subject>Risk factors</subject><subject>Secondary schools</subject><subject>Sleep</subject><subject>Smoking</subject><subject>Surveys</subject><subject>Synergistic effect</subject><subject>Vibration</subject><subject>Womens health</subject><issn>2072-6643</issn><issn>2072-6643</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNptkk1r3DAQhk1paUKaS39AEfRSCk5sfftSMGnTDSzNoe1ZzErjtYJXSi07Yf99ZZLmi0owEqPnfcUMUxTv6-qEsaY6DXPNac25pK-KQ1opWkrJ2esn94PiOKWralmqUpK9LQ6YZJIrKg6LsPLbHkfSuhwxWCRTJCuEYer3ZO07TNN-QPLTxhHJRSJtStF6mNCRWz_1ZB1vs_rSuURiR37EULaDjX0cvCXnME2LyU0mvvqEkPBd8aaDIeHx_XlU_D7_9utsVa4vv1-ctevScsWmkncAwjkhBaOqbmpwWjfCWWe1Aioo6I1bkoJxaJTmvHYculxwTWEDGtlR8eXO93re7NBZDNMIg7ke_Q7GvYngzfOX4HuzjTemkULlRmWDT_cGY_wz5y6YnU8WhwECxjkZqpjQSuSY0Y8v0Ks4jyGXt1BcNhXX9JHawoDGhy7mf-1ialrFJaNc6zpTJ_-h8na48zYG7HzOPxN8vhPYMaY0YvdQY12ZZUDM44Bk-MPTrjyg_8aB_QUbZLQ_</recordid><startdate>20221024</startdate><enddate>20221024</enddate><creator>Zhu, Yu</creator><creator>Yang, Hu</creator><creator>Liang, Shaoxian</creator><creator>Zhang, Honghua</creator><creator>Mo, Yufeng</creator><creator>Rao, Songxian</creator><creator>Zhang, Yaozong</creator><creator>Zhang, Zhuang</creator><creator>Wang, Weiqiang</creator><creator>Yang, Wanshui</creator><general>MDPI AG</general><general>MDPI</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>7TS</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>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-7365-2689</orcidid></search><sort><creationdate>20221024</creationdate><title>Higher Adherence to Healthy Lifestyle Score Is Associated with Lower Odds of Non-Alcoholic Fatty Liver Disease</title><author>Zhu, Yu ; Yang, Hu ; Liang, Shaoxian ; Zhang, Honghua ; Mo, Yufeng ; Rao, Songxian ; Zhang, Yaozong ; Zhang, Zhuang ; Wang, Weiqiang ; Yang, Wanshui</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c473t-4faa5dd565327191ad8895dcdc87a252a8bd1ad8534a978441d4af07212aba8e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Age</topic><topic>Alanine</topic><topic>Alanine transaminase</topic><topic>Albumins</topic><topic>Bilirubin</topic><topic>Blood pressure</topic><topic>Body mass</topic><topic>Body mass index</topic><topic>Body size</topic><topic>Chi-square test</topic><topic>Cigarette smoking</topic><topic>Cigarettes</topic><topic>Coexistence</topic><topic>Cross-Sectional Studies</topic><topic>Diabetes</topic><topic>Diet</topic><topic>Education</topic><topic>Elasticity Imaging Techniques</topic><topic>Ethnicity</topic><topic>Exercise</topic><topic>Family income</topic><topic>Fatty liver</topic><topic>Fibrosis</topic><topic>Food habits</topic><topic>Globulins</topic><topic>Health aspects</topic><topic>Health behavior</topic><topic>Healthy Lifestyle</topic><topic>Hepatitis</topic><topic>Households</topic><topic>Humans</topic><topic>Hypertension</topic><topic>Laboratories</topic><topic>Life Style</topic><topic>Lifestyles</topic><topic>Liver</topic><topic>Liver cancer</topic><topic>Liver diseases</topic><topic>Mortality</topic><topic>Multivariable control</topic><topic>Non-alcoholic Fatty Liver Disease - diagnosis</topic><topic>Non-alcoholic Fatty Liver Disease - epidemiology</topic><topic>Physical activity</topic><topic>Physical fitness</topic><topic>Prevention</topic><topic>Questionnaires</topic><topic>Risk factors</topic><topic>Secondary schools</topic><topic>Sleep</topic><topic>Smoking</topic><topic>Surveys</topic><topic>Synergistic effect</topic><topic>Vibration</topic><topic>Womens health</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhu, Yu</creatorcontrib><creatorcontrib>Yang, Hu</creatorcontrib><creatorcontrib>Liang, Shaoxian</creatorcontrib><creatorcontrib>Zhang, Honghua</creatorcontrib><creatorcontrib>Mo, Yufeng</creatorcontrib><creatorcontrib>Rao, Songxian</creatorcontrib><creatorcontrib>Zhang, Yaozong</creatorcontrib><creatorcontrib>Zhang, Zhuang</creatorcontrib><creatorcontrib>Wang, Weiqiang</creatorcontrib><creatorcontrib>Yang, Wanshui</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Physical Education Index</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</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>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Nutrients</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhu, Yu</au><au>Yang, Hu</au><au>Liang, Shaoxian</au><au>Zhang, Honghua</au><au>Mo, Yufeng</au><au>Rao, Songxian</au><au>Zhang, Yaozong</au><au>Zhang, Zhuang</au><au>Wang, Weiqiang</au><au>Yang, Wanshui</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Higher Adherence to Healthy Lifestyle Score Is Associated with Lower Odds of Non-Alcoholic Fatty Liver Disease</atitle><jtitle>Nutrients</jtitle><addtitle>Nutrients</addtitle><date>2022-10-24</date><risdate>2022</risdate><volume>14</volume><issue>21</issue><spage>4462</spage><pages>4462-</pages><issn>2072-6643</issn><eissn>2072-6643</eissn><abstract>Growing evidence supports that individual lifestyle factors contribute to the development of non-alcoholic fatty liver disease (NAFLD) without considering the coexistence and synergistic effect of lifestyle factors. Our aim is to derive a healthy lifestyle score (HLS) and estimate its association with NAFLD. In this nationwide cross-sectional study, we derived a five-item HLS including dietary pattern, body mass index, physical activity, cigarette smoking, and sleep duration. NAFLD and clinically significant fibrosis (CSF) were assessed based on vibration-controlled transient elastography (VCTE). Liver function parameters were also tested. Multivariable logistic and linear regressions were applied to investigate the association between HLS and liver diseases. Of the 3893 participants with VCTE examination, approximately 14.1% of participants possessed zero or one healthy lifestyle, 62.5% possessed two or three healthy lifestyles, and 23.4% possessed four or five healthy lifestyles. Compared with participants with a low HLS (0−1 score), the adjusted odds ratios and 95% confidence intervals for those with a high HLS (4−5 score) were 0.25 (0.19~0.33, Ptrend < 0.001) for NAFLD and 0.30 (0.18~0.50, Ptrend < 0.001) for CSF. HLS was positively associated with albumin, total protein, and total bilirubin (all Ptrend ≤ 0.001), and was inversely associated with globulin, alanine aminotransferase, and gamma-glutamyl transaminase (all Ptrend ≤ 0.003). Higher adherence to HLS is associated with lower odds of NAFLD and CSF and may improve liver function. Strategies for the promotion of a healthy lifestyle should be considered as part of NAFLD prevention.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>36364725</pmid><doi>10.3390/nu14214462</doi><orcidid>https://orcid.org/0000-0002-7365-2689</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Age Alanine Alanine transaminase Albumins Bilirubin Blood pressure Body mass Body mass index Body size Chi-square test Cigarette smoking Cigarettes Coexistence Cross-Sectional Studies Diabetes Diet Education Elasticity Imaging Techniques Ethnicity Exercise Family income Fatty liver Fibrosis Food habits Globulins Health aspects Health behavior Healthy Lifestyle Hepatitis Households Humans Hypertension Laboratories Life Style Lifestyles Liver Liver cancer Liver diseases Mortality Multivariable control Non-alcoholic Fatty Liver Disease - diagnosis Non-alcoholic Fatty Liver Disease - epidemiology Physical activity Physical fitness Prevention Questionnaires Risk factors Secondary schools Sleep Smoking Surveys Synergistic effect Vibration Womens health |
title | Higher Adherence to Healthy Lifestyle Score Is Associated with Lower Odds of Non-Alcoholic Fatty Liver Disease |
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