The prevalence and associated factors of metabolic syndrome in Chinese aging population
Metabolic syndrome (MetS) is hitting high notes in the aging society in China. However, the prevalence and associated factors in Chinese aging population lack clarity to some extent. In the present study, we projected to inquire into the prevalence of MetS and its associated factors by analyzing dat...
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| Veröffentlicht in: | Scientific reports 2020-11, Vol.10 (1), p.20034-20034, Article 20034 |
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| description | Metabolic syndrome (MetS) is hitting high notes in the aging society in China. However, the prevalence and associated factors in Chinese aging population lack clarity to some extent. In the present study, we projected to inquire into the prevalence of MetS and its associated factors by analyzing datasets downloaded from the China Health and Retirement Longitudinal Study (CHARLS). Data comprising age, gender, socioeconomic status, lifestyle and health behaviors as well as blood biomarkers were subjected to descriptive statistics followed by univariate logistic regression and multivariate logistic regression. The overall prevalence of MetS was 33.38% (95% CI 32.42–34.34%). With age augments, prevalence increased during 40–70 years, while declined in participants aged 70 years above. Females had 2.94 times of risks (95% CI 2.55–3.39,
P
10,000 RMB and a non-agricultural hukou sustained higher risks than other participants (
P
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| doi_str_mv | 10.1038/s41598-020-77184-x |
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P
< 0.001). Marital status and alcohol consumption contributed nothing to the suffering of MetS. Participants with GDP per capita > 10,000 RMB and a non-agricultural hukou sustained higher risks than other participants (
P
< 0.05). Participants under education of middle school suffered 1.16 times of risks than other level of education (95% CI 1.01–1.34,
P
< 0.05). Smokers, participants with high low-density lipoprotein (LDL) or hyperuricemia or high glycosylated hemoglobin HbA1c sustained increased risks (
P
< 0.05). In Chinese aging population, with the augment of age, the prevalence ascended in men, while descended in women and was interfered by socioeconomic status, lifestyle and health behaviors as well as blood biomarkers, but not marital status and alcohol consumption.</description><identifier>ISSN: 2045-2322</identifier><identifier>EISSN: 2045-2322</identifier><identifier>DOI: 10.1038/s41598-020-77184-x</identifier><identifier>PMID: 33208868</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>692/163 ; 692/308 ; Adult ; Aged ; Aging - pathology ; Asian Continental Ancestry Group - statistics & numerical data ; China - epidemiology ; Educational Status ; Female ; Humanities and Social Sciences ; Humans ; Life Style ; Male ; Metabolic Syndrome - epidemiology ; Middle Aged ; multidisciplinary ; Prevalence ; Risk Factors ; Science ; Science (multidisciplinary) ; Socioeconomic Factors</subject><ispartof>Scientific reports, 2020-11, Vol.10 (1), p.20034-20034, Article 20034</ispartof><rights>The Author(s) 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c565t-2e10246c7d2cfef991e1f1ec9868126f8e5e2f7ced7c7b617c41a96ad1c8fd713</citedby><cites>FETCH-LOGICAL-c565t-2e10246c7d2cfef991e1f1ec9868126f8e5e2f7ced7c7b617c41a96ad1c8fd713</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7675973/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7675973/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,27901,27902,41096,42165,51551,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33208868$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ge, Huisheng</creatorcontrib><creatorcontrib>Yang, Zihui</creatorcontrib><creatorcontrib>Li, Xiaoyu</creatorcontrib><creatorcontrib>Liu, Dandan</creatorcontrib><creatorcontrib>Li, Yan</creatorcontrib><creatorcontrib>Pan, Yue</creatorcontrib><creatorcontrib>Luo, Dan</creatorcontrib><creatorcontrib>Wu, Xixi</creatorcontrib><title>The prevalence and associated factors of metabolic syndrome in Chinese aging population</title><title>Scientific reports</title><addtitle>Sci Rep</addtitle><addtitle>Sci Rep</addtitle><description>Metabolic syndrome (MetS) is hitting high notes in the aging society in China. However, the prevalence and associated factors in Chinese aging population lack clarity to some extent. In the present study, we projected to inquire into the prevalence of MetS and its associated factors by analyzing datasets downloaded from the China Health and Retirement Longitudinal Study (CHARLS). Data comprising age, gender, socioeconomic status, lifestyle and health behaviors as well as blood biomarkers were subjected to descriptive statistics followed by univariate logistic regression and multivariate logistic regression. The overall prevalence of MetS was 33.38% (95% CI 32.42–34.34%). With age augments, prevalence increased during 40–70 years, while declined in participants aged 70 years above. Females had 2.94 times of risks (95% CI 2.55–3.39,
P
< 0.001). Marital status and alcohol consumption contributed nothing to the suffering of MetS. Participants with GDP per capita > 10,000 RMB and a non-agricultural hukou sustained higher risks than other participants (
P
< 0.05). Participants under education of middle school suffered 1.16 times of risks than other level of education (95% CI 1.01–1.34,
P
< 0.05). Smokers, participants with high low-density lipoprotein (LDL) or hyperuricemia or high glycosylated hemoglobin HbA1c sustained increased risks (
P
< 0.05). In Chinese aging population, with the augment of age, the prevalence ascended in men, while descended in women and was interfered by socioeconomic status, lifestyle and health behaviors as well as blood biomarkers, but not marital status and alcohol consumption.</description><subject>692/163</subject><subject>692/308</subject><subject>Adult</subject><subject>Aged</subject><subject>Aging - pathology</subject><subject>Asian Continental Ancestry Group - statistics & numerical data</subject><subject>China - epidemiology</subject><subject>Educational Status</subject><subject>Female</subject><subject>Humanities and Social Sciences</subject><subject>Humans</subject><subject>Life Style</subject><subject>Male</subject><subject>Metabolic Syndrome - epidemiology</subject><subject>Middle Aged</subject><subject>multidisciplinary</subject><subject>Prevalence</subject><subject>Risk Factors</subject><subject>Science</subject><subject>Science (multidisciplinary)</subject><subject>Socioeconomic Factors</subject><issn>2045-2322</issn><issn>2045-2322</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><recordid>eNp9kUtLAzEUhYMoWtQ_4EKydDOaZB7JbAQpvkBwU3EZ0sxNG5lJxmRG6r832lrqxmwSuOece8iH0Bkll5Tk4ioWtKxFRhjJOKeiyFZ7aMJIUWYsZ2x_532ETmN8I-mUrC5ofYiO8pwRISoxQa-zJeA-wIdqwWnAyjVYxei1VQM02Cg9-BCxN7iDQc19azWOn64JvgNsHZ4urYOYfAvrFrj3_diqwXp3gg6MaiOcbu5j9HJ3O5s-ZE_P94_Tm6dMl1U5ZAwoYUWlecO0AVPXFKihoOtUjrLKCCiBGa6h4ZrPK8p1QVVdqYZqYRpO82N0vc7tx3kHjQY3BNXKPthOhU_plZV_J84u5cJ_SF7xsuZ5CrjYBAT_PkIcZGejhrZVDvwYZWrHCppXTCQpW0t18DEGMNs1lMhvKHINRSYo8geKXCXT-W7BreUXQRLka0FMI7eAIN_8GFz6tP9ivwCh9Zrl</recordid><startdate>20201118</startdate><enddate>20201118</enddate><creator>Ge, Huisheng</creator><creator>Yang, Zihui</creator><creator>Li, Xiaoyu</creator><creator>Liu, Dandan</creator><creator>Li, Yan</creator><creator>Pan, Yue</creator><creator>Luo, Dan</creator><creator>Wu, Xixi</creator><general>Nature Publishing Group UK</general><scope>C6C</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>7X8</scope><scope>5PM</scope></search><sort><creationdate>20201118</creationdate><title>The prevalence and associated factors of metabolic syndrome in Chinese aging population</title><author>Ge, Huisheng ; Yang, Zihui ; Li, Xiaoyu ; Liu, Dandan ; Li, Yan ; Pan, Yue ; Luo, Dan ; Wu, Xixi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c565t-2e10246c7d2cfef991e1f1ec9868126f8e5e2f7ced7c7b617c41a96ad1c8fd713</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>692/163</topic><topic>692/308</topic><topic>Adult</topic><topic>Aged</topic><topic>Aging - pathology</topic><topic>Asian Continental Ancestry Group - statistics & numerical data</topic><topic>China - epidemiology</topic><topic>Educational Status</topic><topic>Female</topic><topic>Humanities and Social Sciences</topic><topic>Humans</topic><topic>Life Style</topic><topic>Male</topic><topic>Metabolic Syndrome - epidemiology</topic><topic>Middle Aged</topic><topic>multidisciplinary</topic><topic>Prevalence</topic><topic>Risk Factors</topic><topic>Science</topic><topic>Science (multidisciplinary)</topic><topic>Socioeconomic Factors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ge, Huisheng</creatorcontrib><creatorcontrib>Yang, Zihui</creatorcontrib><creatorcontrib>Li, Xiaoyu</creatorcontrib><creatorcontrib>Liu, Dandan</creatorcontrib><creatorcontrib>Li, Yan</creatorcontrib><creatorcontrib>Pan, Yue</creatorcontrib><creatorcontrib>Luo, Dan</creatorcontrib><creatorcontrib>Wu, Xixi</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Scientific reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ge, Huisheng</au><au>Yang, Zihui</au><au>Li, Xiaoyu</au><au>Liu, Dandan</au><au>Li, Yan</au><au>Pan, Yue</au><au>Luo, Dan</au><au>Wu, Xixi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The prevalence and associated factors of metabolic syndrome in Chinese aging population</atitle><jtitle>Scientific reports</jtitle><stitle>Sci Rep</stitle><addtitle>Sci Rep</addtitle><date>2020-11-18</date><risdate>2020</risdate><volume>10</volume><issue>1</issue><spage>20034</spage><epage>20034</epage><pages>20034-20034</pages><artnum>20034</artnum><issn>2045-2322</issn><eissn>2045-2322</eissn><abstract>Metabolic syndrome (MetS) is hitting high notes in the aging society in China. However, the prevalence and associated factors in Chinese aging population lack clarity to some extent. In the present study, we projected to inquire into the prevalence of MetS and its associated factors by analyzing datasets downloaded from the China Health and Retirement Longitudinal Study (CHARLS). Data comprising age, gender, socioeconomic status, lifestyle and health behaviors as well as blood biomarkers were subjected to descriptive statistics followed by univariate logistic regression and multivariate logistic regression. The overall prevalence of MetS was 33.38% (95% CI 32.42–34.34%). With age augments, prevalence increased during 40–70 years, while declined in participants aged 70 years above. Females had 2.94 times of risks (95% CI 2.55–3.39,
P
< 0.001). Marital status and alcohol consumption contributed nothing to the suffering of MetS. Participants with GDP per capita > 10,000 RMB and a non-agricultural hukou sustained higher risks than other participants (
P
< 0.05). Participants under education of middle school suffered 1.16 times of risks than other level of education (95% CI 1.01–1.34,
P
< 0.05). Smokers, participants with high low-density lipoprotein (LDL) or hyperuricemia or high glycosylated hemoglobin HbA1c sustained increased risks (
P
< 0.05). In Chinese aging population, with the augment of age, the prevalence ascended in men, while descended in women and was interfered by socioeconomic status, lifestyle and health behaviors as well as blood biomarkers, but not marital status and alcohol consumption.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>33208868</pmid><doi>10.1038/s41598-020-77184-x</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | 692/163 692/308 Adult Aged Aging - pathology Asian Continental Ancestry Group - statistics & numerical data China - epidemiology Educational Status Female Humanities and Social Sciences Humans Life Style Male Metabolic Syndrome - epidemiology Middle Aged multidisciplinary Prevalence Risk Factors Science Science (multidisciplinary) Socioeconomic Factors |
| title | The prevalence and associated factors of metabolic syndrome in Chinese aging population |
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