A case-control study on nutritional risk factors in non-alcoholic fatty liver disease in Indian population
Background/Objectives: Non-alcoholic fatty liver disease (NAFLD) is considered an integral part of metabolic syndrome (MS). We aimed to explore the inter-relations of MS and dietary composition in subjects with and without hepatic steatosis and to identify the nutritional risk factors contributing t...
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Veröffentlicht in: | European journal of clinical nutrition 2011-04, Vol.65 (4), p.533-537 |
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creator | Sathiaraj, E Chutke, M Reddy, M Y Pratap, N Rao, P N Reddy, D N Raghunath, M |
description | Background/Objectives:
Non-alcoholic fatty liver disease (NAFLD) is considered an integral part of metabolic syndrome (MS). We aimed to explore the inter-relations of MS and dietary composition in subjects with and without hepatic steatosis and to identify the nutritional risk factors contributing to NAFLD.
Subjects/Methods:
In all 98 subjects with steatosis and 102 controls were selected for the study after screening 260 consecutive healthy individuals. Anthropometric and nutritional information, biochemical data and clinical profile were analyzed. Prevalence of MS was determined based on the consensus statement for diagnosis of MS for Asian Indians. Multiple logistic regression analysis was done to predict the dietary risk factors in NAFLD.
Results:
Prevalence of MS was 44.9% among NAFLD cases and 25.5% among controls (
P
=0.003). Subjects with NAFLD had significantly higher values of body mass index (BMI), waist circumference (WC), percent body fat, total cholesterol, triglycerides and blood pressure than controls. The total calorie intake, percent of carbohydrate and fat intake of NAFLD cases was significantly higher than controls. Multiple logistic regression analysis showed BMI (odds ratio 6.03 (95% confidence interval 3.26–11.14)), WC (5.49 (2.59–11.57)) and percent dietary fat intake (2.51 (1.99–3.31)) as independent nutritional risk factors in NAFLD.
Conclusions:
In this study, there is a high prevalence of MS among subjects with steatosis and metabolic disorders were closely related to NAFLD. BMI, WC and percent fat intake are independent dietary risk factors in NAFLD. Decreased nutritional intake with restricted fat may constitute an important therapy in subjects with NAFLD. |
doi_str_mv | 10.1038/ejcn.2011.3 |
format | Article |
fullrecord | <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_miscellaneous_876241332</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A253926910</galeid><sourcerecordid>A253926910</sourcerecordid><originalsourceid>FETCH-LOGICAL-c639t-214d9759d607e011b8b40cc62c80b0432d07b93032fe04dd1d97e6f597c2e0db3</originalsourceid><addsrcrecordid>eNqF0s2PEyEUAHBiNG6tnrzrRKMedCpfAzPHZuPHJpt40fOEAaalUugCY9L_XrB165oawyQk8348wnsPgKcILhAk7Xu9kW6BIUILcg_MEOWsbhiF98EMdg2tCYT8AjyKcQNhDnL8EFxgRCjjiM3AZllJEXUtvUvB2yqmSe0r7yo3pWCS8U7YKpj4vRqFTD7EyuSYd7Ww0q-9NTIHUtpX1vzQoVIm6pyuoCunjHDVzu8mK0qix-DBKGzUT477HHz7-OHr5ef6-sunq8vldS0Z6VKNEVUdbzrFINf5VUM7UCglw7KFA6QEK8iHjkCCRw2pUihrzcam4xJrqAYyB28OeXfB30w6pn5rotTWCqf9FPuWM0wRIfj_ksG2RZy3Wb74S278FHJtfqFczpZ2Gb38F8KM5g92HTmplbC6N270KQhZLu6XuCEdZl1u6xzUZ9RKOx2E9U6PJv--4xdnfF5Kb408e-D1HwfWWti0jt5OpVPxLnx7gDL4GIMe-10wWxH2PYJ9GcC-DGBfBrAvr3t2rME0bLW6tb8nLoNXRyCiFHYMwkkTT45CzNum9ObdwcUccisdTsU8f-_zA3ciTUHf5iumEEJ-Ai5z-MM</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2642640993</pqid></control><display><type>article</type><title>A case-control study on nutritional risk factors in non-alcoholic fatty liver disease in Indian population</title><source>MEDLINE</source><source>SpringerNature Journals</source><source>EZB-FREE-00999 freely available EZB journals</source><creator>Sathiaraj, E ; Chutke, M ; Reddy, M Y ; Pratap, N ; Rao, P N ; Reddy, D N ; Raghunath, M</creator><creatorcontrib>Sathiaraj, E ; Chutke, M ; Reddy, M Y ; Pratap, N ; Rao, P N ; Reddy, D N ; Raghunath, M</creatorcontrib><description>Background/Objectives:
Non-alcoholic fatty liver disease (NAFLD) is considered an integral part of metabolic syndrome (MS). We aimed to explore the inter-relations of MS and dietary composition in subjects with and without hepatic steatosis and to identify the nutritional risk factors contributing to NAFLD.
Subjects/Methods:
In all 98 subjects with steatosis and 102 controls were selected for the study after screening 260 consecutive healthy individuals. Anthropometric and nutritional information, biochemical data and clinical profile were analyzed. Prevalence of MS was determined based on the consensus statement for diagnosis of MS for Asian Indians. Multiple logistic regression analysis was done to predict the dietary risk factors in NAFLD.
Results:
Prevalence of MS was 44.9% among NAFLD cases and 25.5% among controls (
P
=0.003). Subjects with NAFLD had significantly higher values of body mass index (BMI), waist circumference (WC), percent body fat, total cholesterol, triglycerides and blood pressure than controls. The total calorie intake, percent of carbohydrate and fat intake of NAFLD cases was significantly higher than controls. Multiple logistic regression analysis showed BMI (odds ratio 6.03 (95% confidence interval 3.26–11.14)), WC (5.49 (2.59–11.57)) and percent dietary fat intake (2.51 (1.99–3.31)) as independent nutritional risk factors in NAFLD.
Conclusions:
In this study, there is a high prevalence of MS among subjects with steatosis and metabolic disorders were closely related to NAFLD. BMI, WC and percent fat intake are independent dietary risk factors in NAFLD. Decreased nutritional intake with restricted fat may constitute an important therapy in subjects with NAFLD.</description><identifier>ISSN: 0954-3007</identifier><identifier>EISSN: 1476-5640</identifier><identifier>DOI: 10.1038/ejcn.2011.3</identifier><identifier>PMID: 21346716</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>692/499 ; 692/699/1503/1607/2750 ; 692/699/2743/2037 ; 692/700/478/174 ; Adipose Tissue - metabolism ; Adult ; Anthropometry ; Biological and medical sciences ; Blood pressure ; Body Composition ; Body fat ; Body Mass Index ; Body size ; Carbohydrates ; Case-Control Studies ; Cholesterol ; Cholesterol - blood ; Clinical Nutrition ; Confidence intervals ; Development and progression ; Diet ; Dietary intake ; Epidemiology ; Fatty liver ; Fatty Liver - complications ; Fatty Liver - epidemiology ; Feeding Behavior ; Feeding. Feeding behavior ; Female ; Fundamental and applied biological sciences. Psychology ; Gastroenterology. Liver. Pancreas. Abdomen ; Humans ; India - epidemiology ; Internal Medicine ; Liver ; Liver diseases ; Liver. Biliary tract. Portal circulation. Exocrine pancreas ; Male ; Medical sciences ; Medicine ; Medicine & Public Health ; Metabolic Diseases ; Metabolic disorders ; Metabolic syndrome ; Metabolic Syndrome - complications ; Metabolic Syndrome - epidemiology ; Metabolic syndrome X ; Metabolism ; Middle Aged ; Miscellaneous ; Non-alcoholic Fatty Liver Disease ; Nutrition Assessment ; Nutrition research ; Obesity - diagnosis ; Obesity - epidemiology ; original-article ; Other diseases. Semiology ; Other metabolic disorders ; Prevalence ; Public Health ; Regression analysis ; Risk analysis ; Risk Factors ; Risk management ; Statistical analysis ; Steatosis ; Triglycerides ; Triglycerides - blood ; Vertebrates: anatomy and physiology, studies on body, several organs or systems ; Waist Circumference</subject><ispartof>European journal of clinical nutrition, 2011-04, Vol.65 (4), p.533-537</ispartof><rights>Macmillan Publishers Limited 2011</rights><rights>2015 INIST-CNRS</rights><rights>2011 Macmillan Publishers Limited All rights reserved</rights><rights>COPYRIGHT 2011 Nature Publishing Group</rights><rights>Macmillan Publishers Limited 2011.</rights><rights>Copyright Nature Publishing Group Apr 2011</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c639t-214d9759d607e011b8b40cc62c80b0432d07b93032fe04dd1d97e6f597c2e0db3</citedby><cites>FETCH-LOGICAL-c639t-214d9759d607e011b8b40cc62c80b0432d07b93032fe04dd1d97e6f597c2e0db3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1038/ejcn.2011.3$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1038/ejcn.2011.3$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=24027852$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21346716$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sathiaraj, E</creatorcontrib><creatorcontrib>Chutke, M</creatorcontrib><creatorcontrib>Reddy, M Y</creatorcontrib><creatorcontrib>Pratap, N</creatorcontrib><creatorcontrib>Rao, P N</creatorcontrib><creatorcontrib>Reddy, D N</creatorcontrib><creatorcontrib>Raghunath, M</creatorcontrib><title>A case-control study on nutritional risk factors in non-alcoholic fatty liver disease in Indian population</title><title>European journal of clinical nutrition</title><addtitle>Eur J Clin Nutr</addtitle><addtitle>Eur J Clin Nutr</addtitle><description>Background/Objectives:
Non-alcoholic fatty liver disease (NAFLD) is considered an integral part of metabolic syndrome (MS). We aimed to explore the inter-relations of MS and dietary composition in subjects with and without hepatic steatosis and to identify the nutritional risk factors contributing to NAFLD.
Subjects/Methods:
In all 98 subjects with steatosis and 102 controls were selected for the study after screening 260 consecutive healthy individuals. Anthropometric and nutritional information, biochemical data and clinical profile were analyzed. Prevalence of MS was determined based on the consensus statement for diagnosis of MS for Asian Indians. Multiple logistic regression analysis was done to predict the dietary risk factors in NAFLD.
Results:
Prevalence of MS was 44.9% among NAFLD cases and 25.5% among controls (
P
=0.003). Subjects with NAFLD had significantly higher values of body mass index (BMI), waist circumference (WC), percent body fat, total cholesterol, triglycerides and blood pressure than controls. The total calorie intake, percent of carbohydrate and fat intake of NAFLD cases was significantly higher than controls. Multiple logistic regression analysis showed BMI (odds ratio 6.03 (95% confidence interval 3.26–11.14)), WC (5.49 (2.59–11.57)) and percent dietary fat intake (2.51 (1.99–3.31)) as independent nutritional risk factors in NAFLD.
Conclusions:
In this study, there is a high prevalence of MS among subjects with steatosis and metabolic disorders were closely related to NAFLD. BMI, WC and percent fat intake are independent dietary risk factors in NAFLD. Decreased nutritional intake with restricted fat may constitute an important therapy in subjects with NAFLD.</description><subject>692/499</subject><subject>692/699/1503/1607/2750</subject><subject>692/699/2743/2037</subject><subject>692/700/478/174</subject><subject>Adipose Tissue - metabolism</subject><subject>Adult</subject><subject>Anthropometry</subject><subject>Biological and medical sciences</subject><subject>Blood pressure</subject><subject>Body Composition</subject><subject>Body fat</subject><subject>Body Mass Index</subject><subject>Body size</subject><subject>Carbohydrates</subject><subject>Case-Control Studies</subject><subject>Cholesterol</subject><subject>Cholesterol - blood</subject><subject>Clinical Nutrition</subject><subject>Confidence intervals</subject><subject>Development and progression</subject><subject>Diet</subject><subject>Dietary intake</subject><subject>Epidemiology</subject><subject>Fatty liver</subject><subject>Fatty Liver - complications</subject><subject>Fatty Liver - epidemiology</subject><subject>Feeding Behavior</subject><subject>Feeding. Feeding behavior</subject><subject>Female</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Gastroenterology. Liver. Pancreas. Abdomen</subject><subject>Humans</subject><subject>India - epidemiology</subject><subject>Internal Medicine</subject><subject>Liver</subject><subject>Liver diseases</subject><subject>Liver. Biliary tract. Portal circulation. Exocrine pancreas</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Metabolic Diseases</subject><subject>Metabolic disorders</subject><subject>Metabolic syndrome</subject><subject>Metabolic Syndrome - complications</subject><subject>Metabolic Syndrome - epidemiology</subject><subject>Metabolic syndrome X</subject><subject>Metabolism</subject><subject>Middle Aged</subject><subject>Miscellaneous</subject><subject>Non-alcoholic Fatty Liver Disease</subject><subject>Nutrition Assessment</subject><subject>Nutrition research</subject><subject>Obesity - diagnosis</subject><subject>Obesity - epidemiology</subject><subject>original-article</subject><subject>Other diseases. Semiology</subject><subject>Other metabolic disorders</subject><subject>Prevalence</subject><subject>Public Health</subject><subject>Regression analysis</subject><subject>Risk analysis</subject><subject>Risk Factors</subject><subject>Risk management</subject><subject>Statistical analysis</subject><subject>Steatosis</subject><subject>Triglycerides</subject><subject>Triglycerides - blood</subject><subject>Vertebrates: anatomy and physiology, studies on body, several organs or systems</subject><subject>Waist Circumference</subject><issn>0954-3007</issn><issn>1476-5640</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqF0s2PEyEUAHBiNG6tnrzrRKMedCpfAzPHZuPHJpt40fOEAaalUugCY9L_XrB165oawyQk8348wnsPgKcILhAk7Xu9kW6BIUILcg_MEOWsbhiF98EMdg2tCYT8AjyKcQNhDnL8EFxgRCjjiM3AZllJEXUtvUvB2yqmSe0r7yo3pWCS8U7YKpj4vRqFTD7EyuSYd7Ww0q-9NTIHUtpX1vzQoVIm6pyuoCunjHDVzu8mK0qix-DBKGzUT477HHz7-OHr5ef6-sunq8vldS0Z6VKNEVUdbzrFINf5VUM7UCglw7KFA6QEK8iHjkCCRw2pUihrzcam4xJrqAYyB28OeXfB30w6pn5rotTWCqf9FPuWM0wRIfj_ksG2RZy3Wb74S278FHJtfqFczpZ2Gb38F8KM5g92HTmplbC6N270KQhZLu6XuCEdZl1u6xzUZ9RKOx2E9U6PJv--4xdnfF5Kb408e-D1HwfWWti0jt5OpVPxLnx7gDL4GIMe-10wWxH2PYJ9GcC-DGBfBrAvr3t2rME0bLW6tb8nLoNXRyCiFHYMwkkTT45CzNum9ObdwcUccisdTsU8f-_zA3ciTUHf5iumEEJ-Ai5z-MM</recordid><startdate>20110401</startdate><enddate>20110401</enddate><creator>Sathiaraj, E</creator><creator>Chutke, M</creator><creator>Reddy, M Y</creator><creator>Pratap, N</creator><creator>Rao, P N</creator><creator>Reddy, D N</creator><creator>Raghunath, M</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><scope>IQODW</scope><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>7QP</scope><scope>7RV</scope><scope>7TK</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AN0</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M7P</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><scope>7U1</scope><scope>7U2</scope><scope>C1K</scope></search><sort><creationdate>20110401</creationdate><title>A case-control study on nutritional risk factors in non-alcoholic fatty liver disease in Indian population</title><author>Sathiaraj, E ; Chutke, M ; Reddy, M Y ; Pratap, N ; Rao, P N ; Reddy, D N ; Raghunath, M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c639t-214d9759d607e011b8b40cc62c80b0432d07b93032fe04dd1d97e6f597c2e0db3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>692/499</topic><topic>692/699/1503/1607/2750</topic><topic>692/699/2743/2037</topic><topic>692/700/478/174</topic><topic>Adipose Tissue - metabolism</topic><topic>Adult</topic><topic>Anthropometry</topic><topic>Biological and medical sciences</topic><topic>Blood pressure</topic><topic>Body Composition</topic><topic>Body fat</topic><topic>Body Mass Index</topic><topic>Body size</topic><topic>Carbohydrates</topic><topic>Case-Control Studies</topic><topic>Cholesterol</topic><topic>Cholesterol - blood</topic><topic>Clinical Nutrition</topic><topic>Confidence intervals</topic><topic>Development and progression</topic><topic>Diet</topic><topic>Dietary intake</topic><topic>Epidemiology</topic><topic>Fatty liver</topic><topic>Fatty Liver - complications</topic><topic>Fatty Liver - epidemiology</topic><topic>Feeding Behavior</topic><topic>Feeding. Feeding behavior</topic><topic>Female</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Gastroenterology. Liver. Pancreas. Abdomen</topic><topic>Humans</topic><topic>India - epidemiology</topic><topic>Internal Medicine</topic><topic>Liver</topic><topic>Liver diseases</topic><topic>Liver. Biliary tract. Portal circulation. Exocrine pancreas</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Metabolic Diseases</topic><topic>Metabolic disorders</topic><topic>Metabolic syndrome</topic><topic>Metabolic Syndrome - complications</topic><topic>Metabolic Syndrome - epidemiology</topic><topic>Metabolic syndrome X</topic><topic>Metabolism</topic><topic>Middle Aged</topic><topic>Miscellaneous</topic><topic>Non-alcoholic Fatty Liver Disease</topic><topic>Nutrition Assessment</topic><topic>Nutrition research</topic><topic>Obesity - diagnosis</topic><topic>Obesity - epidemiology</topic><topic>original-article</topic><topic>Other diseases. Semiology</topic><topic>Other metabolic disorders</topic><topic>Prevalence</topic><topic>Public Health</topic><topic>Regression analysis</topic><topic>Risk analysis</topic><topic>Risk Factors</topic><topic>Risk management</topic><topic>Statistical analysis</topic><topic>Steatosis</topic><topic>Triglycerides</topic><topic>Triglycerides - blood</topic><topic>Vertebrates: anatomy and physiology, studies on body, several organs or systems</topic><topic>Waist Circumference</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sathiaraj, E</creatorcontrib><creatorcontrib>Chutke, M</creatorcontrib><creatorcontrib>Reddy, M Y</creatorcontrib><creatorcontrib>Pratap, N</creatorcontrib><creatorcontrib>Rao, P N</creatorcontrib><creatorcontrib>Reddy, D N</creatorcontrib><creatorcontrib>Raghunath, M</creatorcontrib><collection>Pascal-Francis</collection><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>Calcium & Calcified Tissue Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Neurosciences Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>British Nursing Database</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</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 Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</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 Basic</collection><collection>MEDLINE - Academic</collection><collection>Risk Abstracts</collection><collection>Safety Science and Risk</collection><collection>Environmental Sciences and Pollution Management</collection><jtitle>European journal of clinical nutrition</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sathiaraj, E</au><au>Chutke, M</au><au>Reddy, M Y</au><au>Pratap, N</au><au>Rao, P N</au><au>Reddy, D N</au><au>Raghunath, M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A case-control study on nutritional risk factors in non-alcoholic fatty liver disease in Indian population</atitle><jtitle>European journal of clinical nutrition</jtitle><stitle>Eur J Clin Nutr</stitle><addtitle>Eur J Clin Nutr</addtitle><date>2011-04-01</date><risdate>2011</risdate><volume>65</volume><issue>4</issue><spage>533</spage><epage>537</epage><pages>533-537</pages><issn>0954-3007</issn><eissn>1476-5640</eissn><abstract>Background/Objectives:
Non-alcoholic fatty liver disease (NAFLD) is considered an integral part of metabolic syndrome (MS). We aimed to explore the inter-relations of MS and dietary composition in subjects with and without hepatic steatosis and to identify the nutritional risk factors contributing to NAFLD.
Subjects/Methods:
In all 98 subjects with steatosis and 102 controls were selected for the study after screening 260 consecutive healthy individuals. Anthropometric and nutritional information, biochemical data and clinical profile were analyzed. Prevalence of MS was determined based on the consensus statement for diagnosis of MS for Asian Indians. Multiple logistic regression analysis was done to predict the dietary risk factors in NAFLD.
Results:
Prevalence of MS was 44.9% among NAFLD cases and 25.5% among controls (
P
=0.003). Subjects with NAFLD had significantly higher values of body mass index (BMI), waist circumference (WC), percent body fat, total cholesterol, triglycerides and blood pressure than controls. The total calorie intake, percent of carbohydrate and fat intake of NAFLD cases was significantly higher than controls. Multiple logistic regression analysis showed BMI (odds ratio 6.03 (95% confidence interval 3.26–11.14)), WC (5.49 (2.59–11.57)) and percent dietary fat intake (2.51 (1.99–3.31)) as independent nutritional risk factors in NAFLD.
Conclusions:
In this study, there is a high prevalence of MS among subjects with steatosis and metabolic disorders were closely related to NAFLD. BMI, WC and percent fat intake are independent dietary risk factors in NAFLD. Decreased nutritional intake with restricted fat may constitute an important therapy in subjects with NAFLD.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>21346716</pmid><doi>10.1038/ejcn.2011.3</doi><tpages>5</tpages><oa>free_for_read</oa></addata></record> |
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source | MEDLINE; SpringerNature Journals; EZB-FREE-00999 freely available EZB journals |
subjects | 692/499 692/699/1503/1607/2750 692/699/2743/2037 692/700/478/174 Adipose Tissue - metabolism Adult Anthropometry Biological and medical sciences Blood pressure Body Composition Body fat Body Mass Index Body size Carbohydrates Case-Control Studies Cholesterol Cholesterol - blood Clinical Nutrition Confidence intervals Development and progression Diet Dietary intake Epidemiology Fatty liver Fatty Liver - complications Fatty Liver - epidemiology Feeding Behavior Feeding. Feeding behavior Female Fundamental and applied biological sciences. Psychology Gastroenterology. Liver. Pancreas. Abdomen Humans India - epidemiology Internal Medicine Liver Liver diseases Liver. Biliary tract. Portal circulation. Exocrine pancreas Male Medical sciences Medicine Medicine & Public Health Metabolic Diseases Metabolic disorders Metabolic syndrome Metabolic Syndrome - complications Metabolic Syndrome - epidemiology Metabolic syndrome X Metabolism Middle Aged Miscellaneous Non-alcoholic Fatty Liver Disease Nutrition Assessment Nutrition research Obesity - diagnosis Obesity - epidemiology original-article Other diseases. Semiology Other metabolic disorders Prevalence Public Health Regression analysis Risk analysis Risk Factors Risk management Statistical analysis Steatosis Triglycerides Triglycerides - blood Vertebrates: anatomy and physiology, studies on body, several organs or systems Waist Circumference |
title | A case-control study on nutritional risk factors in non-alcoholic fatty liver disease in Indian population |
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