Dietary patterns and sarcopenia in elderly adults: the Tianjin Chronic Low-grade Systemic Inflammation and Health (TCLSIH) study
Sarcopenia is a core contributor to several health consequences, including falls, fractures, physical limitations and disability. The pathophysiological processes of sarcopenia may be counteracted with the proper diet, delaying sarcopenia onset. Dietary pattern analysis is a whole diet approach used...
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| Veröffentlicht in: | British journal of nutrition 2022-09, Vol.128 (5), p.900-908 |
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| creator | Wang, Xuena Ye, Mingxu Gu, Yeqing Wu, Xiaohui Meng, Ge Bian, Shanshan Wu, Hongmei Zhang, Shunming Wang, Yawen Zhang, Tingjing Cheng, Jie Gan, Shinan Ji, Tong Niu, Kaijun |
| description | Sarcopenia is a core contributor to several health consequences, including falls, fractures, physical limitations and disability. The pathophysiological processes of sarcopenia may be counteracted with the proper diet, delaying sarcopenia onset. Dietary pattern analysis is a whole diet approach used to investigate the relationship between diet and sarcopenia. Here, we aimed to investigate this relationship in an elderly Chinese population. A cross-sectional study with 2423 participants aged more than 60 years was performed. Sarcopenia was defined based on the guidelines of the Asian Working Group for Sarcopenia, composed of low muscle mass plus low grip strength and/or low gait speed. Dietary data were collected using a FFQ that included questions on 100 food items along with their specified serving sizes. Three dietary patterns were derived by factor analysis: sweet pattern, vegetable pattern and animal food pattern. The prevalence of sarcopenia was 16·1 %. The higher vegetable pattern score and animal food pattern score were related to lower prevalence of sarcopenia (P
trend = 0·006 and < 0·001, respectively); the multivariate-adjusted OR of the prevalence of sarcopenia in the highest v. lowest quartiles were 0·54 (95 % CI 0·34, 0·86) and 0·50 (95 % CI 0·33, 0·74), separately. The sweet pattern score was not significantly related to the prevalence of sarcopenia. The present study showed that vegetable pattern and animal food pattern were related to a lower prevalence of sarcopenia in Chinese older adults. Further studies are required to clarify these findings. |
| doi_str_mv | 10.1017/S0007114521003871 |
| format | Article |
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trend = 0·006 and < 0·001, respectively); the multivariate-adjusted OR of the prevalence of sarcopenia in the highest v. lowest quartiles were 0·54 (95 % CI 0·34, 0·86) and 0·50 (95 % CI 0·33, 0·74), separately. The sweet pattern score was not significantly related to the prevalence of sarcopenia. The present study showed that vegetable pattern and animal food pattern were related to a lower prevalence of sarcopenia in Chinese older adults. Further studies are required to clarify these findings.</description><identifier>ISSN: 0007-1145</identifier><identifier>EISSN: 1475-2662</identifier><identifier>DOI: 10.1017/S0007114521003871</identifier><identifier>PMID: 34565491</identifier><language>eng</language><publisher>Cambridge, UK: Cambridge University Press</publisher><subject>Adults ; Animals ; Beverages ; Cohort analysis ; Cross-Sectional Studies ; Diet ; Dietary Surveys and Nutritional Epidemiology ; Factor analysis ; Family income ; Food ; Fractures ; Gait ; Grip strength ; Inflammation ; Muscles ; Nutrients ; Nutrition research ; Older people ; Pattern analysis ; Personal health ; Population studies ; Quartiles ; Questionnaires ; Sarcopenia ; Sarcopenia - epidemiology ; Statistical analysis ; Vegetables ; Womens health</subject><ispartof>British journal of nutrition, 2022-09, Vol.128 (5), p.900-908</ispartof><rights>The Author(s), 2021. Published by Cambridge University Press on behalf of The Nutrition Society</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c303t-62972bfba54cdab255d008317d5266ad8056dd06af78a1c9a5f0293fbe7f25373</citedby><cites>FETCH-LOGICAL-c303t-62972bfba54cdab255d008317d5266ad8056dd06af78a1c9a5f0293fbe7f25373</cites><orcidid>0000-0002-8772-2481</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.cambridge.org/core/product/identifier/S0007114521003871/type/journal_article$$EHTML$$P50$$Gcambridge$$H</linktohtml><link.rule.ids>164,314,777,781,27905,27906,55609</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34565491$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wang, Xuena</creatorcontrib><creatorcontrib>Ye, Mingxu</creatorcontrib><creatorcontrib>Gu, Yeqing</creatorcontrib><creatorcontrib>Wu, Xiaohui</creatorcontrib><creatorcontrib>Meng, Ge</creatorcontrib><creatorcontrib>Bian, Shanshan</creatorcontrib><creatorcontrib>Wu, Hongmei</creatorcontrib><creatorcontrib>Zhang, Shunming</creatorcontrib><creatorcontrib>Wang, Yawen</creatorcontrib><creatorcontrib>Zhang, Tingjing</creatorcontrib><creatorcontrib>Cheng, Jie</creatorcontrib><creatorcontrib>Gan, Shinan</creatorcontrib><creatorcontrib>Ji, Tong</creatorcontrib><creatorcontrib>Niu, Kaijun</creatorcontrib><title>Dietary patterns and sarcopenia in elderly adults: the Tianjin Chronic Low-grade Systemic Inflammation and Health (TCLSIH) study</title><title>British journal of nutrition</title><addtitle>Br J Nutr</addtitle><description>Sarcopenia is a core contributor to several health consequences, including falls, fractures, physical limitations and disability. The pathophysiological processes of sarcopenia may be counteracted with the proper diet, delaying sarcopenia onset. Dietary pattern analysis is a whole diet approach used to investigate the relationship between diet and sarcopenia. Here, we aimed to investigate this relationship in an elderly Chinese population. A cross-sectional study with 2423 participants aged more than 60 years was performed. Sarcopenia was defined based on the guidelines of the Asian Working Group for Sarcopenia, composed of low muscle mass plus low grip strength and/or low gait speed. Dietary data were collected using a FFQ that included questions on 100 food items along with their specified serving sizes. Three dietary patterns were derived by factor analysis: sweet pattern, vegetable pattern and animal food pattern. The prevalence of sarcopenia was 16·1 %. The higher vegetable pattern score and animal food pattern score were related to lower prevalence of sarcopenia (P
trend = 0·006 and < 0·001, respectively); the multivariate-adjusted OR of the prevalence of sarcopenia in the highest v. lowest quartiles were 0·54 (95 % CI 0·34, 0·86) and 0·50 (95 % CI 0·33, 0·74), separately. The sweet pattern score was not significantly related to the prevalence of sarcopenia. The present study showed that vegetable pattern and animal food pattern were related to a lower prevalence of sarcopenia in Chinese older adults. Further studies are required to clarify these findings.</description><subject>Adults</subject><subject>Animals</subject><subject>Beverages</subject><subject>Cohort analysis</subject><subject>Cross-Sectional Studies</subject><subject>Diet</subject><subject>Dietary Surveys and Nutritional Epidemiology</subject><subject>Factor analysis</subject><subject>Family income</subject><subject>Food</subject><subject>Fractures</subject><subject>Gait</subject><subject>Grip strength</subject><subject>Inflammation</subject><subject>Muscles</subject><subject>Nutrients</subject><subject>Nutrition research</subject><subject>Older people</subject><subject>Pattern analysis</subject><subject>Personal health</subject><subject>Population studies</subject><subject>Quartiles</subject><subject>Questionnaires</subject><subject>Sarcopenia</subject><subject>Sarcopenia - epidemiology</subject><subject>Statistical analysis</subject><subject>Vegetables</subject><subject>Womens health</subject><issn>0007-1145</issn><issn>1475-2662</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</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>eNp1kD1PwzAQhi0EglL4ASzIEgsMAX_EccKGykcrVWJomaNL7NBUiVNsR6gbPx2XFhgQ0-nufe893YPQGSXXlFB5MyOESEpjwSghPJV0Dw1oLEXEkoTto8FGjjb6ETp2bhnalJLsEB3xWCQizugAfdzX2oNd4xV4r61xGIzCDmzZrbSpAdcG60Zp26wxqL7x7hb7hcbzGswyaKOF7Uxd4mn3Hr1aUBrP1s7rNowmpmqgbcHXnflKHWto_AJfzkfT2WR8hZ3v1foEHVTQOH26q0P08vgwH42j6fPTZHQ3jUpOuI8SlklWVAWIuFRQMCFU-IZTqUR4FlRKRKIUSaCSKdAyA1ERlvGq0LJigks-RBfb3JXt3nrtfL7semvCyZwlWZZKHhAGF926Sts5Z3WVr2zdBj45JfmGef6Hedg53yX3RavVz8Y35GDgu1BoC1urV_17-__YT_uuiyY</recordid><startdate>20220914</startdate><enddate>20220914</enddate><creator>Wang, Xuena</creator><creator>Ye, Mingxu</creator><creator>Gu, Yeqing</creator><creator>Wu, Xiaohui</creator><creator>Meng, Ge</creator><creator>Bian, Shanshan</creator><creator>Wu, Hongmei</creator><creator>Zhang, Shunming</creator><creator>Wang, Yawen</creator><creator>Zhang, Tingjing</creator><creator>Cheng, Jie</creator><creator>Gan, Shinan</creator><creator>Ji, Tong</creator><creator>Niu, Kaijun</creator><general>Cambridge University Press</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>7QP</scope><scope>7RV</scope><scope>7T5</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</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>AEUYN</scope><scope>AFKRA</scope><scope>AN0</scope><scope>ATCPS</scope><scope>AZQEC</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>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><orcidid>https://orcid.org/0000-0002-8772-2481</orcidid></search><sort><creationdate>20220914</creationdate><title>Dietary patterns and sarcopenia in elderly adults: the Tianjin Chronic Low-grade Systemic Inflammation and Health (TCLSIH) study</title><author>Wang, Xuena ; Ye, Mingxu ; Gu, Yeqing ; Wu, Xiaohui ; Meng, Ge ; Bian, Shanshan ; Wu, Hongmei ; Zhang, Shunming ; Wang, Yawen ; Zhang, Tingjing ; Cheng, Jie ; Gan, Shinan ; Ji, Tong ; Niu, Kaijun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c303t-62972bfba54cdab255d008317d5266ad8056dd06af78a1c9a5f0293fbe7f25373</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Adults</topic><topic>Animals</topic><topic>Beverages</topic><topic>Cohort analysis</topic><topic>Cross-Sectional Studies</topic><topic>Diet</topic><topic>Dietary Surveys and Nutritional Epidemiology</topic><topic>Factor analysis</topic><topic>Family income</topic><topic>Food</topic><topic>Fractures</topic><topic>Gait</topic><topic>Grip strength</topic><topic>Inflammation</topic><topic>Muscles</topic><topic>Nutrients</topic><topic>Nutrition research</topic><topic>Older people</topic><topic>Pattern analysis</topic><topic>Personal health</topic><topic>Population studies</topic><topic>Quartiles</topic><topic>Questionnaires</topic><topic>Sarcopenia</topic><topic>Sarcopenia - 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The pathophysiological processes of sarcopenia may be counteracted with the proper diet, delaying sarcopenia onset. Dietary pattern analysis is a whole diet approach used to investigate the relationship between diet and sarcopenia. Here, we aimed to investigate this relationship in an elderly Chinese population. A cross-sectional study with 2423 participants aged more than 60 years was performed. Sarcopenia was defined based on the guidelines of the Asian Working Group for Sarcopenia, composed of low muscle mass plus low grip strength and/or low gait speed. Dietary data were collected using a FFQ that included questions on 100 food items along with their specified serving sizes. Three dietary patterns were derived by factor analysis: sweet pattern, vegetable pattern and animal food pattern. The prevalence of sarcopenia was 16·1 %. The higher vegetable pattern score and animal food pattern score were related to lower prevalence of sarcopenia (P
trend = 0·006 and < 0·001, respectively); the multivariate-adjusted OR of the prevalence of sarcopenia in the highest v. lowest quartiles were 0·54 (95 % CI 0·34, 0·86) and 0·50 (95 % CI 0·33, 0·74), separately. The sweet pattern score was not significantly related to the prevalence of sarcopenia. The present study showed that vegetable pattern and animal food pattern were related to a lower prevalence of sarcopenia in Chinese older adults. Further studies are required to clarify these findings.</abstract><cop>Cambridge, UK</cop><pub>Cambridge University Press</pub><pmid>34565491</pmid><doi>10.1017/S0007114521003871</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-8772-2481</orcidid></addata></record> |
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| subjects | Adults Animals Beverages Cohort analysis Cross-Sectional Studies Diet Dietary Surveys and Nutritional Epidemiology Factor analysis Family income Food Fractures Gait Grip strength Inflammation Muscles Nutrients Nutrition research Older people Pattern analysis Personal health Population studies Quartiles Questionnaires Sarcopenia Sarcopenia - epidemiology Statistical analysis Vegetables Womens health |
| title | Dietary patterns and sarcopenia in elderly adults: the Tianjin Chronic Low-grade Systemic Inflammation and Health (TCLSIH) study |
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