Sex, Age, and BMI Modulate the Association of Physical Examinations and Blood Biochemistry Parameters and NAFLD: A Retrospective Study on 1994 Cases Observed at Shuguang Hospital, China
Objective. Previous studies have shown that some metabolic risk factors are related to nonalcoholic fatty liver disease (NAFLD). This retrospective study was performed to investigate the associations between physical examinations and blood biochemistry parameters and NAFLD status and to identify pos...
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| Veröffentlicht in: | BioMed research international 2019-01, Vol.2019 (2019), p.1-7 |
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| creator | Cheng, Feng Wang, Yi-Qin Fan, Lin Jean-Baptiste, Lori Patel, Devashru Wang, Fang Hao, Yiming Pham, Minh Tang, Zhengli Wang, Weijian |
| description | Objective. Previous studies have shown that some metabolic risk factors are related to nonalcoholic fatty liver disease (NAFLD). This retrospective study was performed to investigate the associations between physical examinations and blood biochemistry parameters and NAFLD status and to identify possible risk factors of NAFLD. Methods. Study participants underwent general physical examinations, blood biochemistry, and abdominal ultrasound evaluations. In addition, data regarding sex, age, ethnicity, medical history, and alcohol consumption of participants were recorded. Among the study participants (N=1994), 57.8% were male, 41.2% over the age of 50, and 52.6% with BMI≥24. 986 patients had NAFLD and 1008 had no NAFLD. We used effect size analysis and logistic regression to determine which physical examinations and blood biochemistry parameters were significant for the association between these parameters and NAFLD status. Results. Both the effect size and logistic regression indicated that BMI, diastolic blood pressure (DBP), triglycerides (TG), and serum uric acid (SUA) show a significant association with NAFLD. Females are overall at a higher risk of NAFLD, but factors such as high BMI, DBP, TG, and SUA increase the associated risk for both sexes. Compared with males, females have a higher risk of NAFLD given that they are over 50, overweight and obese (BMI at or over 24), or have high SUA. In terms of age, people older than 50 with high SUA, and people younger than 50 with high DBP and low-density lipoprotein cholesterol (LDL-C) all increase the risk of NAFLD. For BMI, high DBP and low high-density lipoprotein cholesterol (HDL-C) are risk factors for NAFLD in overweight and obese people (BMI at or over 24), whereas in normal weight and underweight people (BMI under 24), elevated LDL-C increases the risk of NAFLD. Conclusions. Our results revealed sex, age, and BMI modulate the association of physical examinations and blood biochemistry parameters and NAFLD, which may facilitate the development of personalized early warning and prevention strategies of NAFLD for at-risk populations. |
| doi_str_mv | 10.1155/2019/1246518 |
| format | Article |
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Previous studies have shown that some metabolic risk factors are related to nonalcoholic fatty liver disease (NAFLD). This retrospective study was performed to investigate the associations between physical examinations and blood biochemistry parameters and NAFLD status and to identify possible risk factors of NAFLD. Methods. Study participants underwent general physical examinations, blood biochemistry, and abdominal ultrasound evaluations. In addition, data regarding sex, age, ethnicity, medical history, and alcohol consumption of participants were recorded. Among the study participants (N=1994), 57.8% were male, 41.2% over the age of 50, and 52.6% with BMI≥24. 986 patients had NAFLD and 1008 had no NAFLD. We used effect size analysis and logistic regression to determine which physical examinations and blood biochemistry parameters were significant for the association between these parameters and NAFLD status. Results. Both the effect size and logistic regression indicated that BMI, diastolic blood pressure (DBP), triglycerides (TG), and serum uric acid (SUA) show a significant association with NAFLD. Females are overall at a higher risk of NAFLD, but factors such as high BMI, DBP, TG, and SUA increase the associated risk for both sexes. Compared with males, females have a higher risk of NAFLD given that they are over 50, overweight and obese (BMI at or over 24), or have high SUA. In terms of age, people older than 50 with high SUA, and people younger than 50 with high DBP and low-density lipoprotein cholesterol (LDL-C) all increase the risk of NAFLD. For BMI, high DBP and low high-density lipoprotein cholesterol (HDL-C) are risk factors for NAFLD in overweight and obese people (BMI at or over 24), whereas in normal weight and underweight people (BMI under 24), elevated LDL-C increases the risk of NAFLD. Conclusions. Our results revealed sex, age, and BMI modulate the association of physical examinations and blood biochemistry parameters and NAFLD, which may facilitate the development of personalized early warning and prevention strategies of NAFLD for at-risk populations.</description><identifier>ISSN: 2314-6133</identifier><identifier>EISSN: 2314-6141</identifier><identifier>DOI: 10.1155/2019/1246518</identifier><identifier>PMID: 31341886</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Publishing Corporation</publisher><subject>Abdomen ; Adult ; Age ; Alcohol ; Alcoholic beverages ; Biochemistry ; Blood pressure ; Body mass ; Body Mass Index ; Body weight ; China ; Chinese medicine ; Cholesterol ; Cholesterol, HDL - blood ; Cholesterol, LDL - blood ; Density ; Family medical history ; Fatty liver ; Female ; Females ; Gastroenterology ; Gastrointestinal surgery ; Hepatitis ; Hepatology ; High density lipoprotein ; Hospitals ; Humans ; Identification methods ; Liver ; Liver diseases ; Low density lipoprotein ; Low density lipoproteins ; Male ; Males ; Medical research ; Medicine, Experimental ; Metabolism ; Middle Aged ; Minority & ethnic groups ; Non-alcoholic Fatty Liver Disease - blood ; Non-alcoholic Fatty Liver Disease - diagnostic imaging ; Obesity ; Obesity - blood ; Obesity - diagnostic imaging ; Overweight ; Parameter identification ; Periodic health examinations ; Physical diagnosis ; Physical examinations ; Prospective Studies ; Regression analysis ; Retrospective Studies ; Risk analysis ; Risk Factors ; Sex ; Studies ; Systematic review ; Triglycerides ; Ultrasonic imaging ; Ultrasound ; Underweight ; Uric acid</subject><ispartof>BioMed research international, 2019-01, Vol.2019 (2019), p.1-7</ispartof><rights>Copyright © 2019 Zhengli Tang et al.</rights><rights>COPYRIGHT 2019 John Wiley & Sons, Inc.</rights><rights>Copyright © 2019 Zhengli Tang et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0</rights><rights>Copyright © 2019 Zhengli Tang et al. 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c499t-cbe002ebec09944c47a678efa5edcfe39459eae929f5d3a10439dcfa900856563</citedby><cites>FETCH-LOGICAL-c499t-cbe002ebec09944c47a678efa5edcfe39459eae929f5d3a10439dcfa900856563</cites><orcidid>0000-0001-6197-8836 ; 0000-0001-9374-2369 ; 0000-0003-3619-8090 ; 0000-0002-0280-7495 ; 0000-0001-7574-9401</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/PMC6612989/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6612989/$$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/31341886$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Grasselli, Elena</contributor><creatorcontrib>Cheng, Feng</creatorcontrib><creatorcontrib>Wang, Yi-Qin</creatorcontrib><creatorcontrib>Fan, Lin</creatorcontrib><creatorcontrib>Jean-Baptiste, Lori</creatorcontrib><creatorcontrib>Patel, Devashru</creatorcontrib><creatorcontrib>Wang, Fang</creatorcontrib><creatorcontrib>Hao, Yiming</creatorcontrib><creatorcontrib>Pham, Minh</creatorcontrib><creatorcontrib>Tang, Zhengli</creatorcontrib><creatorcontrib>Wang, Weijian</creatorcontrib><title>Sex, Age, and BMI Modulate the Association of Physical Examinations and Blood Biochemistry Parameters and NAFLD: A Retrospective Study on 1994 Cases Observed at Shuguang Hospital, China</title><title>BioMed research international</title><addtitle>Biomed Res Int</addtitle><description>Objective. Previous studies have shown that some metabolic risk factors are related to nonalcoholic fatty liver disease (NAFLD). This retrospective study was performed to investigate the associations between physical examinations and blood biochemistry parameters and NAFLD status and to identify possible risk factors of NAFLD. Methods. Study participants underwent general physical examinations, blood biochemistry, and abdominal ultrasound evaluations. In addition, data regarding sex, age, ethnicity, medical history, and alcohol consumption of participants were recorded. Among the study participants (N=1994), 57.8% were male, 41.2% over the age of 50, and 52.6% with BMI≥24. 986 patients had NAFLD and 1008 had no NAFLD. We used effect size analysis and logistic regression to determine which physical examinations and blood biochemistry parameters were significant for the association between these parameters and NAFLD status. Results. Both the effect size and logistic regression indicated that BMI, diastolic blood pressure (DBP), triglycerides (TG), and serum uric acid (SUA) show a significant association with NAFLD. Females are overall at a higher risk of NAFLD, but factors such as high BMI, DBP, TG, and SUA increase the associated risk for both sexes. Compared with males, females have a higher risk of NAFLD given that they are over 50, overweight and obese (BMI at or over 24), or have high SUA. In terms of age, people older than 50 with high SUA, and people younger than 50 with high DBP and low-density lipoprotein cholesterol (LDL-C) all increase the risk of NAFLD. For BMI, high DBP and low high-density lipoprotein cholesterol (HDL-C) are risk factors for NAFLD in overweight and obese people (BMI at or over 24), whereas in normal weight and underweight people (BMI under 24), elevated LDL-C increases the risk of NAFLD. Conclusions. Our results revealed sex, age, and BMI modulate the association of physical examinations and blood biochemistry parameters and NAFLD, which may facilitate the development of personalized early warning and prevention strategies of NAFLD for at-risk populations.</description><subject>Abdomen</subject><subject>Adult</subject><subject>Age</subject><subject>Alcohol</subject><subject>Alcoholic beverages</subject><subject>Biochemistry</subject><subject>Blood pressure</subject><subject>Body mass</subject><subject>Body Mass Index</subject><subject>Body weight</subject><subject>China</subject><subject>Chinese medicine</subject><subject>Cholesterol</subject><subject>Cholesterol, HDL - blood</subject><subject>Cholesterol, LDL - blood</subject><subject>Density</subject><subject>Family medical history</subject><subject>Fatty liver</subject><subject>Female</subject><subject>Females</subject><subject>Gastroenterology</subject><subject>Gastrointestinal surgery</subject><subject>Hepatitis</subject><subject>Hepatology</subject><subject>High density lipoprotein</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Identification methods</subject><subject>Liver</subject><subject>Liver diseases</subject><subject>Low density lipoprotein</subject><subject>Low density lipoproteins</subject><subject>Male</subject><subject>Males</subject><subject>Medical research</subject><subject>Medicine, Experimental</subject><subject>Metabolism</subject><subject>Middle Aged</subject><subject>Minority & ethnic groups</subject><subject>Non-alcoholic Fatty Liver Disease - blood</subject><subject>Non-alcoholic Fatty Liver Disease - diagnostic imaging</subject><subject>Obesity</subject><subject>Obesity - blood</subject><subject>Obesity - diagnostic imaging</subject><subject>Overweight</subject><subject>Parameter identification</subject><subject>Periodic health examinations</subject><subject>Physical diagnosis</subject><subject>Physical examinations</subject><subject>Prospective Studies</subject><subject>Regression analysis</subject><subject>Retrospective Studies</subject><subject>Risk analysis</subject><subject>Risk Factors</subject><subject>Sex</subject><subject>Studies</subject><subject>Systematic review</subject><subject>Triglycerides</subject><subject>Ultrasonic imaging</subject><subject>Ultrasound</subject><subject>Underweight</subject><subject>Uric acid</subject><issn>2314-6133</issn><issn>2314-6141</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>RHX</sourceid><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNqNklFv0zAQxyMEYtPYG8_IEi9ItMyOHTfmASmUjU3q2ETh2XKdS-MpjUvslPWj8e24ktIBT_jBtny_-5_vr0uS54y-YSzLzlLK1BlLhcxY_ig5TjkTY8kEe3y4c36UnIZwR3HlTFIlnyZHnHHB8lweJz_mcD8ixRJGxLQleX99Ra592TcmAok1kCIEb52JzrfEV-S23gZnTUPO783Ktb_ew5DZeI-787aGlQux25Jb05kVROgG4lNxMfvwlhTkM8TOhzXY6DZA5rEvtwTlmVKCTE2AQG4WAboNlMREMq_7ZW_aJbnEHBdNMyLTGks_S55Upglwuj9Pkq8X51-ml-PZzceraTEbW6FUHNsFUJrCAixFfWHFxMhJDpXJoLQVcCUyBQZUqqqs5IZRwRUGjEK7MplJfpK8G3TX_WKFOdDGzjR63bmV6bbaG6f_jrSu1ku_0VKyVOUKBV7tBTr_rYcQNfpjoWlMC74POk1lNskFTwWiL_9B73zftdgeUhmniks1eaCWpgHt2spjXbsT1YWkXFCOVZEaDZRFs0MH1eHLjOrd8Ojd8Oj98CD-4s82D_DvUUHg9QCg-aX57v5TDpBBtx9olvIUgZ9rStV8</recordid><startdate>20190101</startdate><enddate>20190101</enddate><creator>Cheng, Feng</creator><creator>Wang, Yi-Qin</creator><creator>Fan, Lin</creator><creator>Jean-Baptiste, Lori</creator><creator>Patel, Devashru</creator><creator>Wang, Fang</creator><creator>Hao, Yiming</creator><creator>Pham, Minh</creator><creator>Tang, Zhengli</creator><creator>Wang, Weijian</creator><general>Hindawi Publishing Corporation</general><general>Hindawi</general><general>John Wiley & Sons, Inc</general><general>Hindawi Limited</general><scope>ADJCN</scope><scope>AHFXO</scope><scope>RHU</scope><scope>RHW</scope><scope>RHX</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>7QL</scope><scope>7QO</scope><scope>7T7</scope><scope>7TK</scope><scope>7U7</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>CWDGH</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</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/0000-0001-6197-8836</orcidid><orcidid>https://orcid.org/0000-0001-9374-2369</orcidid><orcidid>https://orcid.org/0000-0003-3619-8090</orcidid><orcidid>https://orcid.org/0000-0002-0280-7495</orcidid><orcidid>https://orcid.org/0000-0001-7574-9401</orcidid></search><sort><creationdate>20190101</creationdate><title>Sex, Age, and BMI Modulate the Association of Physical Examinations and Blood Biochemistry Parameters and NAFLD: A Retrospective Study on 1994 Cases Observed at Shuguang Hospital, China</title><author>Cheng, Feng ; Wang, Yi-Qin ; Fan, Lin ; Jean-Baptiste, Lori ; Patel, Devashru ; Wang, Fang ; Hao, Yiming ; Pham, Minh ; Tang, Zhengli ; Wang, Weijian</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c499t-cbe002ebec09944c47a678efa5edcfe39459eae929f5d3a10439dcfa900856563</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Abdomen</topic><topic>Adult</topic><topic>Age</topic><topic>Alcohol</topic><topic>Alcoholic beverages</topic><topic>Biochemistry</topic><topic>Blood pressure</topic><topic>Body mass</topic><topic>Body Mass Index</topic><topic>Body weight</topic><topic>China</topic><topic>Chinese medicine</topic><topic>Cholesterol</topic><topic>Cholesterol, HDL - blood</topic><topic>Cholesterol, LDL - blood</topic><topic>Density</topic><topic>Family medical history</topic><topic>Fatty liver</topic><topic>Female</topic><topic>Females</topic><topic>Gastroenterology</topic><topic>Gastrointestinal surgery</topic><topic>Hepatitis</topic><topic>Hepatology</topic><topic>High density lipoprotein</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Identification methods</topic><topic>Liver</topic><topic>Liver diseases</topic><topic>Low density lipoprotein</topic><topic>Low density lipoproteins</topic><topic>Male</topic><topic>Males</topic><topic>Medical research</topic><topic>Medicine, Experimental</topic><topic>Metabolism</topic><topic>Middle Aged</topic><topic>Minority & ethnic groups</topic><topic>Non-alcoholic Fatty Liver Disease - blood</topic><topic>Non-alcoholic Fatty Liver Disease - diagnostic imaging</topic><topic>Obesity</topic><topic>Obesity - blood</topic><topic>Obesity - diagnostic imaging</topic><topic>Overweight</topic><topic>Parameter identification</topic><topic>Periodic health examinations</topic><topic>Physical diagnosis</topic><topic>Physical examinations</topic><topic>Prospective Studies</topic><topic>Regression analysis</topic><topic>Retrospective Studies</topic><topic>Risk analysis</topic><topic>Risk Factors</topic><topic>Sex</topic><topic>Studies</topic><topic>Systematic review</topic><topic>Triglycerides</topic><topic>Ultrasonic imaging</topic><topic>Ultrasound</topic><topic>Underweight</topic><topic>Uric acid</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cheng, Feng</creatorcontrib><creatorcontrib>Wang, Yi-Qin</creatorcontrib><creatorcontrib>Fan, Lin</creatorcontrib><creatorcontrib>Jean-Baptiste, Lori</creatorcontrib><creatorcontrib>Patel, Devashru</creatorcontrib><creatorcontrib>Wang, Fang</creatorcontrib><creatorcontrib>Hao, Yiming</creatorcontrib><creatorcontrib>Pham, Minh</creatorcontrib><creatorcontrib>Tang, Zhengli</creatorcontrib><creatorcontrib>Wang, Weijian</creatorcontrib><collection>الدوريات العلمية والإحصائية - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>BioMed research international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cheng, Feng</au><au>Wang, Yi-Qin</au><au>Fan, Lin</au><au>Jean-Baptiste, Lori</au><au>Patel, Devashru</au><au>Wang, Fang</au><au>Hao, Yiming</au><au>Pham, Minh</au><au>Tang, Zhengli</au><au>Wang, Weijian</au><au>Grasselli, Elena</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Sex, Age, and BMI Modulate the Association of Physical Examinations and Blood Biochemistry Parameters and NAFLD: A Retrospective Study on 1994 Cases Observed at Shuguang Hospital, China</atitle><jtitle>BioMed research international</jtitle><addtitle>Biomed Res Int</addtitle><date>2019-01-01</date><risdate>2019</risdate><volume>2019</volume><issue>2019</issue><spage>1</spage><epage>7</epage><pages>1-7</pages><issn>2314-6133</issn><eissn>2314-6141</eissn><abstract>Objective. Previous studies have shown that some metabolic risk factors are related to nonalcoholic fatty liver disease (NAFLD). This retrospective study was performed to investigate the associations between physical examinations and blood biochemistry parameters and NAFLD status and to identify possible risk factors of NAFLD. Methods. Study participants underwent general physical examinations, blood biochemistry, and abdominal ultrasound evaluations. In addition, data regarding sex, age, ethnicity, medical history, and alcohol consumption of participants were recorded. Among the study participants (N=1994), 57.8% were male, 41.2% over the age of 50, and 52.6% with BMI≥24. 986 patients had NAFLD and 1008 had no NAFLD. We used effect size analysis and logistic regression to determine which physical examinations and blood biochemistry parameters were significant for the association between these parameters and NAFLD status. Results. Both the effect size and logistic regression indicated that BMI, diastolic blood pressure (DBP), triglycerides (TG), and serum uric acid (SUA) show a significant association with NAFLD. Females are overall at a higher risk of NAFLD, but factors such as high BMI, DBP, TG, and SUA increase the associated risk for both sexes. Compared with males, females have a higher risk of NAFLD given that they are over 50, overweight and obese (BMI at or over 24), or have high SUA. In terms of age, people older than 50 with high SUA, and people younger than 50 with high DBP and low-density lipoprotein cholesterol (LDL-C) all increase the risk of NAFLD. For BMI, high DBP and low high-density lipoprotein cholesterol (HDL-C) are risk factors for NAFLD in overweight and obese people (BMI at or over 24), whereas in normal weight and underweight people (BMI under 24), elevated LDL-C increases the risk of NAFLD. Conclusions. Our results revealed sex, age, and BMI modulate the association of physical examinations and blood biochemistry parameters and NAFLD, which may facilitate the development of personalized early warning and prevention strategies of NAFLD for at-risk populations.</abstract><cop>Cairo, Egypt</cop><pub>Hindawi Publishing Corporation</pub><pmid>31341886</pmid><doi>10.1155/2019/1246518</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0001-6197-8836</orcidid><orcidid>https://orcid.org/0000-0001-9374-2369</orcidid><orcidid>https://orcid.org/0000-0003-3619-8090</orcidid><orcidid>https://orcid.org/0000-0002-0280-7495</orcidid><orcidid>https://orcid.org/0000-0001-7574-9401</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 2314-6133 |
| ispartof | BioMed research international, 2019-01, Vol.2019 (2019), p.1-7 |
| issn | 2314-6133 2314-6141 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6612989 |
| source | MEDLINE; Wiley Online Library Open Access; PubMed Central; Alma/SFX Local Collection; PubMed Central Open Access |
| subjects | Abdomen Adult Age Alcohol Alcoholic beverages Biochemistry Blood pressure Body mass Body Mass Index Body weight China Chinese medicine Cholesterol Cholesterol, HDL - blood Cholesterol, LDL - blood Density Family medical history Fatty liver Female Females Gastroenterology Gastrointestinal surgery Hepatitis Hepatology High density lipoprotein Hospitals Humans Identification methods Liver Liver diseases Low density lipoprotein Low density lipoproteins Male Males Medical research Medicine, Experimental Metabolism Middle Aged Minority & ethnic groups Non-alcoholic Fatty Liver Disease - blood Non-alcoholic Fatty Liver Disease - diagnostic imaging Obesity Obesity - blood Obesity - diagnostic imaging Overweight Parameter identification Periodic health examinations Physical diagnosis Physical examinations Prospective Studies Regression analysis Retrospective Studies Risk analysis Risk Factors Sex Studies Systematic review Triglycerides Ultrasonic imaging Ultrasound Underweight Uric acid |
| title | Sex, Age, and BMI Modulate the Association of Physical Examinations and Blood Biochemistry Parameters and NAFLD: A Retrospective Study on 1994 Cases Observed at Shuguang Hospital, China |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-08T20%3A19%3A55IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Sex,%20Age,%20and%20BMI%20Modulate%20the%20Association%20of%20Physical%20Examinations%20and%20Blood%20Biochemistry%20Parameters%20and%20NAFLD:%20A%20Retrospective%20Study%20on%201994%20Cases%20Observed%20at%20Shuguang%20Hospital,%20China&rft.jtitle=BioMed%20research%20international&rft.au=Cheng,%20Feng&rft.date=2019-01-01&rft.volume=2019&rft.issue=2019&rft.spage=1&rft.epage=7&rft.pages=1-7&rft.issn=2314-6133&rft.eissn=2314-6141&rft_id=info:doi/10.1155/2019/1246518&rft_dat=%3Cgale_pubme%3EA603403893%3C/gale_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2253093697&rft_id=info:pmid/31341886&rft_galeid=A603403893&rfr_iscdi=true |