Early Life Famine Exposure, Ideal Cardiovascular Health Metrics, and Risk of Incident Diabetes: Findings From the 4C Study
We aim to investigate the impact of ideal cardiovascular health metrics (ICVHMs) on the association between famine exposure and adulthood diabetes risk. This study included 77,925 participants from the China Cardiometabolic Disease and Cancer Cohort (4C) Study who were born around the time of the Ch...
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| Veröffentlicht in: | Diabetes care 2020-08, Vol.43 (8), p.1902-1909 |
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| container_title | Diabetes care |
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| creator | Lu, Jieli Li, Mian Xu, Yu Bi, Yufang Qin, Yingfen Li, Qiang Wang, Tiange Hu, Ruying Shi, Lixin Su, Qing Xu, Min Zhao, Zhiyun Chen, Yuhong Yu, Xuefeng Yan, Li Du, Rui Hu, Chunyan Qin, Guijun Wan, Qin Chen, Gang Dai, Meng Zhang, Di Gao, Zhengnan Wang, Guixia Shen, Feixia Luo, Zuojie Chen, Li Huo, Yanan Ye, Zhen Tang, Xulei Zhang, Yinfei Liu, Chao Wang, Youmin Wu, Shengli Yang, Tao Deng, Huacong Li, Donghui Lai, Shenghan Bloomgarden, Zachary T Chen, Lulu Zhao, Jiajun Mu, Yiming Ning, Guang Wang, Weiqing |
| description | We aim to investigate the impact of ideal cardiovascular health metrics (ICVHMs) on the association between famine exposure and adulthood diabetes risk.
This study included 77,925 participants from the China Cardiometabolic Disease and Cancer Cohort (4C) Study who were born around the time of the Chinese Great Famine and free of diabetes at baseline. They were divided into three famine exposure groups according to the birth year, including nonexposed (1963-1974), fetal exposed (1959-1962), and childhood exposed (1949-1958). Relative risk regression was used to examine the associations between famine exposure and ICVHMs on diabetes.
During a mean follow-up of 3.6 years, the cumulative incidence of diabetes was 4.2%, 6.0%, and 7.5% in nonexposed, fetal-exposed, and childhood-exposed participants, respectively. Compared with nonexposed participants, fetal-exposed but not childhood-exposed participants had increased risks of diabetes, with multivariable-adjusted risk ratios (RRs) (95% CIs) of 1.17 (1.05-1.31) and 1.12 (0.96-1.30), respectively. Increased diabetes risks were observed in fetal-exposed individuals with nonideal dietary habits, nonideal physical activity, BMI ≥24.0 kg/m
, or blood pressure ≥120/80 mmHg, whereas significant interaction was detected only in BMI strata (
for interaction = 0.0018). Significant interactions have been detected between number of ICVHMs and famine exposure on the risk of diabetes (
for interaction = 0.0005). The increased risk was observed in fetal-exposed participants with one or fewer ICVHMs (RR 1.59 [95% CI 1.24-2.04]), but not in those with two or more ICVHMs.
The increased risk of diabetes associated with famine exposure appears to be modified by the presence of ICVHMs. |
| doi_str_mv | 10.2337/dc19-2325 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2410350536</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2410350536</sourcerecordid><originalsourceid>FETCH-LOGICAL-c348t-4804de28db2f582578ed7bb9d2e52c0591ba1e60cd489026bd1ce970d2ff9a463</originalsourceid><addsrcrecordid>eNpd0UtrGzEQwHERGhrH7SFfoAz0koA31dOWeguOHRscAn2cF6002yjdhyvthjifPmuc9JDTwPBjGPgTcsboJRdi9s07ZjIuuDoiI2aEypSS-gMZUSZNpozhJ-Q0pQdKqZRafyQngktjhJYj8rywsdrBJpQIS1uHBmHxtG1TH3ECa4-2grmNPrSPNrm-shFWw667h1vsYnBpArbx8COkv9CWsG5c8Nh0cB1sgR2m77AMjQ_NnwTL2NbQ3SPIOfzser_7RI5LWyX8_DrH5Pdy8Wu-yjZ3N-v51SZzQuouk5pKj1z7gpdKczXT6GdFYTxHxR1VhhWW4ZQ6L7WhfFp45tDMqOdlaaycijE5P9zdxvZfj6nL65AcVpVtsO1TziWjQlEl9vTrO_rQ9rEZvhuUmLLBKDOoi4NysU0pYplvY6ht3OWM5vsg-T5Ivg8y2C-vF_uiRv9fvhUQL07_hEo</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2436153659</pqid></control><display><type>article</type><title>Early Life Famine Exposure, Ideal Cardiovascular Health Metrics, and Risk of Incident Diabetes: Findings From the 4C Study</title><source>MEDLINE</source><source>EZB Electronic Journals Library</source><creator>Lu, Jieli ; Li, Mian ; Xu, Yu ; Bi, Yufang ; Qin, Yingfen ; Li, Qiang ; Wang, Tiange ; Hu, Ruying ; Shi, Lixin ; Su, Qing ; Xu, Min ; Zhao, Zhiyun ; Chen, Yuhong ; Yu, Xuefeng ; Yan, Li ; Du, Rui ; Hu, Chunyan ; Qin, Guijun ; Wan, Qin ; Chen, Gang ; Dai, Meng ; Zhang, Di ; Gao, Zhengnan ; Wang, Guixia ; Shen, Feixia ; Luo, Zuojie ; Chen, Li ; Huo, Yanan ; Ye, Zhen ; Tang, Xulei ; Zhang, Yinfei ; Liu, Chao ; Wang, Youmin ; Wu, Shengli ; Yang, Tao ; Deng, Huacong ; Li, Donghui ; Lai, Shenghan ; Bloomgarden, Zachary T ; Chen, Lulu ; Zhao, Jiajun ; Mu, Yiming ; Ning, Guang ; Wang, Weiqing</creator><creatorcontrib>Lu, Jieli ; Li, Mian ; Xu, Yu ; Bi, Yufang ; Qin, Yingfen ; Li, Qiang ; Wang, Tiange ; Hu, Ruying ; Shi, Lixin ; Su, Qing ; Xu, Min ; Zhao, Zhiyun ; Chen, Yuhong ; Yu, Xuefeng ; Yan, Li ; Du, Rui ; Hu, Chunyan ; Qin, Guijun ; Wan, Qin ; Chen, Gang ; Dai, Meng ; Zhang, Di ; Gao, Zhengnan ; Wang, Guixia ; Shen, Feixia ; Luo, Zuojie ; Chen, Li ; Huo, Yanan ; Ye, Zhen ; Tang, Xulei ; Zhang, Yinfei ; Liu, Chao ; Wang, Youmin ; Wu, Shengli ; Yang, Tao ; Deng, Huacong ; Li, Donghui ; Lai, Shenghan ; Bloomgarden, Zachary T ; Chen, Lulu ; Zhao, Jiajun ; Mu, Yiming ; Ning, Guang ; Wang, Weiqing ; 4C Study Group</creatorcontrib><description>We aim to investigate the impact of ideal cardiovascular health metrics (ICVHMs) on the association between famine exposure and adulthood diabetes risk.
This study included 77,925 participants from the China Cardiometabolic Disease and Cancer Cohort (4C) Study who were born around the time of the Chinese Great Famine and free of diabetes at baseline. They were divided into three famine exposure groups according to the birth year, including nonexposed (1963-1974), fetal exposed (1959-1962), and childhood exposed (1949-1958). Relative risk regression was used to examine the associations between famine exposure and ICVHMs on diabetes.
During a mean follow-up of 3.6 years, the cumulative incidence of diabetes was 4.2%, 6.0%, and 7.5% in nonexposed, fetal-exposed, and childhood-exposed participants, respectively. Compared with nonexposed participants, fetal-exposed but not childhood-exposed participants had increased risks of diabetes, with multivariable-adjusted risk ratios (RRs) (95% CIs) of 1.17 (1.05-1.31) and 1.12 (0.96-1.30), respectively. Increased diabetes risks were observed in fetal-exposed individuals with nonideal dietary habits, nonideal physical activity, BMI ≥24.0 kg/m
, or blood pressure ≥120/80 mmHg, whereas significant interaction was detected only in BMI strata (
for interaction = 0.0018). Significant interactions have been detected between number of ICVHMs and famine exposure on the risk of diabetes (
for interaction = 0.0005). The increased risk was observed in fetal-exposed participants with one or fewer ICVHMs (RR 1.59 [95% CI 1.24-2.04]), but not in those with two or more ICVHMs.
The increased risk of diabetes associated with famine exposure appears to be modified by the presence of ICVHMs.</description><identifier>ISSN: 0149-5992</identifier><identifier>EISSN: 1935-5548</identifier><identifier>DOI: 10.2337/dc19-2325</identifier><identifier>PMID: 32499384</identifier><language>eng</language><publisher>United States: American Diabetes Association</publisher><subject>Adult ; Adverse Childhood Experiences - statistics & numerical data ; Age of Onset ; Blood pressure ; Cardiovascular diseases ; Cardiovascular Physiological Phenomena ; Cardiovascular System - physiopathology ; Child ; Children ; China - epidemiology ; Cohort Studies ; Diabetes ; Diabetes mellitus ; Diabetes Mellitus - epidemiology ; Diabetes Mellitus - etiology ; Diet ; Exposure ; Famine ; Famine - statistics & numerical data ; Female ; Fetuses ; Follow-Up Studies ; Health risks ; Humans ; Incidence ; Infant, Newborn ; Male ; Middle Aged ; Physical activity ; Pregnancy ; Prenatal Exposure Delayed Effects - epidemiology ; Prenatal Exposure Delayed Effects - physiopathology ; Quality Indicators, Health Care - standards ; Quality Indicators, Health Care - statistics & numerical data ; Research design ; Risk ; Risk Factors ; Starvation - complications ; Starvation - epidemiology ; Starvation - physiopathology</subject><ispartof>Diabetes care, 2020-08, Vol.43 (8), p.1902-1909</ispartof><rights>2020 by the American Diabetes Association.</rights><rights>Copyright American Diabetes Association Aug 1, 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c348t-4804de28db2f582578ed7bb9d2e52c0591ba1e60cd489026bd1ce970d2ff9a463</citedby><cites>FETCH-LOGICAL-c348t-4804de28db2f582578ed7bb9d2e52c0591ba1e60cd489026bd1ce970d2ff9a463</cites><orcidid>0000-0002-7613-1408 ; 0000-0001-7670-8062 ; 0000-0002-8456-1678 ; 0000-0001-9621-9231 ; 0000-0003-3863-9267 ; 0000-0003-2377-6357 ; 0000-0003-3736-7909 ; 0000-0003-1317-0896 ; 0000-0001-6027-3084 ; 0000-0002-5754-7635 ; 0000-0002-2503-7534 ; 0000-0003-3961-9321 ; 0000-0002-4829-5915 ; 0000-0001-6375-3622 ; 0000-0003-0723-489X ; 0000-0003-4464-453X ; 0000-0002-8673-3859</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32499384$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lu, Jieli</creatorcontrib><creatorcontrib>Li, Mian</creatorcontrib><creatorcontrib>Xu, Yu</creatorcontrib><creatorcontrib>Bi, Yufang</creatorcontrib><creatorcontrib>Qin, Yingfen</creatorcontrib><creatorcontrib>Li, Qiang</creatorcontrib><creatorcontrib>Wang, Tiange</creatorcontrib><creatorcontrib>Hu, Ruying</creatorcontrib><creatorcontrib>Shi, Lixin</creatorcontrib><creatorcontrib>Su, Qing</creatorcontrib><creatorcontrib>Xu, Min</creatorcontrib><creatorcontrib>Zhao, Zhiyun</creatorcontrib><creatorcontrib>Chen, Yuhong</creatorcontrib><creatorcontrib>Yu, Xuefeng</creatorcontrib><creatorcontrib>Yan, Li</creatorcontrib><creatorcontrib>Du, Rui</creatorcontrib><creatorcontrib>Hu, Chunyan</creatorcontrib><creatorcontrib>Qin, Guijun</creatorcontrib><creatorcontrib>Wan, Qin</creatorcontrib><creatorcontrib>Chen, Gang</creatorcontrib><creatorcontrib>Dai, Meng</creatorcontrib><creatorcontrib>Zhang, Di</creatorcontrib><creatorcontrib>Gao, Zhengnan</creatorcontrib><creatorcontrib>Wang, Guixia</creatorcontrib><creatorcontrib>Shen, Feixia</creatorcontrib><creatorcontrib>Luo, Zuojie</creatorcontrib><creatorcontrib>Chen, Li</creatorcontrib><creatorcontrib>Huo, Yanan</creatorcontrib><creatorcontrib>Ye, Zhen</creatorcontrib><creatorcontrib>Tang, Xulei</creatorcontrib><creatorcontrib>Zhang, Yinfei</creatorcontrib><creatorcontrib>Liu, Chao</creatorcontrib><creatorcontrib>Wang, Youmin</creatorcontrib><creatorcontrib>Wu, Shengli</creatorcontrib><creatorcontrib>Yang, Tao</creatorcontrib><creatorcontrib>Deng, Huacong</creatorcontrib><creatorcontrib>Li, Donghui</creatorcontrib><creatorcontrib>Lai, Shenghan</creatorcontrib><creatorcontrib>Bloomgarden, Zachary T</creatorcontrib><creatorcontrib>Chen, Lulu</creatorcontrib><creatorcontrib>Zhao, Jiajun</creatorcontrib><creatorcontrib>Mu, Yiming</creatorcontrib><creatorcontrib>Ning, Guang</creatorcontrib><creatorcontrib>Wang, Weiqing</creatorcontrib><creatorcontrib>4C Study Group</creatorcontrib><title>Early Life Famine Exposure, Ideal Cardiovascular Health Metrics, and Risk of Incident Diabetes: Findings From the 4C Study</title><title>Diabetes care</title><addtitle>Diabetes Care</addtitle><description>We aim to investigate the impact of ideal cardiovascular health metrics (ICVHMs) on the association between famine exposure and adulthood diabetes risk.
This study included 77,925 participants from the China Cardiometabolic Disease and Cancer Cohort (4C) Study who were born around the time of the Chinese Great Famine and free of diabetes at baseline. They were divided into three famine exposure groups according to the birth year, including nonexposed (1963-1974), fetal exposed (1959-1962), and childhood exposed (1949-1958). Relative risk regression was used to examine the associations between famine exposure and ICVHMs on diabetes.
During a mean follow-up of 3.6 years, the cumulative incidence of diabetes was 4.2%, 6.0%, and 7.5% in nonexposed, fetal-exposed, and childhood-exposed participants, respectively. Compared with nonexposed participants, fetal-exposed but not childhood-exposed participants had increased risks of diabetes, with multivariable-adjusted risk ratios (RRs) (95% CIs) of 1.17 (1.05-1.31) and 1.12 (0.96-1.30), respectively. Increased diabetes risks were observed in fetal-exposed individuals with nonideal dietary habits, nonideal physical activity, BMI ≥24.0 kg/m
, or blood pressure ≥120/80 mmHg, whereas significant interaction was detected only in BMI strata (
for interaction = 0.0018). Significant interactions have been detected between number of ICVHMs and famine exposure on the risk of diabetes (
for interaction = 0.0005). The increased risk was observed in fetal-exposed participants with one or fewer ICVHMs (RR 1.59 [95% CI 1.24-2.04]), but not in those with two or more ICVHMs.
The increased risk of diabetes associated with famine exposure appears to be modified by the presence of ICVHMs.</description><subject>Adult</subject><subject>Adverse Childhood Experiences - statistics & numerical data</subject><subject>Age of Onset</subject><subject>Blood pressure</subject><subject>Cardiovascular diseases</subject><subject>Cardiovascular Physiological Phenomena</subject><subject>Cardiovascular System - physiopathology</subject><subject>Child</subject><subject>Children</subject><subject>China - epidemiology</subject><subject>Cohort Studies</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Diabetes Mellitus - epidemiology</subject><subject>Diabetes Mellitus - etiology</subject><subject>Diet</subject><subject>Exposure</subject><subject>Famine</subject><subject>Famine - statistics & numerical data</subject><subject>Female</subject><subject>Fetuses</subject><subject>Follow-Up Studies</subject><subject>Health risks</subject><subject>Humans</subject><subject>Incidence</subject><subject>Infant, Newborn</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Physical activity</subject><subject>Pregnancy</subject><subject>Prenatal Exposure Delayed Effects - epidemiology</subject><subject>Prenatal Exposure Delayed Effects - physiopathology</subject><subject>Quality Indicators, Health Care - standards</subject><subject>Quality Indicators, Health Care - statistics & numerical data</subject><subject>Research design</subject><subject>Risk</subject><subject>Risk Factors</subject><subject>Starvation - complications</subject><subject>Starvation - epidemiology</subject><subject>Starvation - physiopathology</subject><issn>0149-5992</issn><issn>1935-5548</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpd0UtrGzEQwHERGhrH7SFfoAz0koA31dOWeguOHRscAn2cF6002yjdhyvthjifPmuc9JDTwPBjGPgTcsboJRdi9s07ZjIuuDoiI2aEypSS-gMZUSZNpozhJ-Q0pQdKqZRafyQngktjhJYj8rywsdrBJpQIS1uHBmHxtG1TH3ECa4-2grmNPrSPNrm-shFWw667h1vsYnBpArbx8COkv9CWsG5c8Nh0cB1sgR2m77AMjQ_NnwTL2NbQ3SPIOfzser_7RI5LWyX8_DrH5Pdy8Wu-yjZ3N-v51SZzQuouk5pKj1z7gpdKczXT6GdFYTxHxR1VhhWW4ZQ6L7WhfFp45tDMqOdlaaycijE5P9zdxvZfj6nL65AcVpVtsO1TziWjQlEl9vTrO_rQ9rEZvhuUmLLBKDOoi4NysU0pYplvY6ht3OWM5vsg-T5Ivg8y2C-vF_uiRv9fvhUQL07_hEo</recordid><startdate>202008</startdate><enddate>202008</enddate><creator>Lu, Jieli</creator><creator>Li, Mian</creator><creator>Xu, Yu</creator><creator>Bi, Yufang</creator><creator>Qin, Yingfen</creator><creator>Li, Qiang</creator><creator>Wang, Tiange</creator><creator>Hu, Ruying</creator><creator>Shi, Lixin</creator><creator>Su, Qing</creator><creator>Xu, Min</creator><creator>Zhao, Zhiyun</creator><creator>Chen, Yuhong</creator><creator>Yu, Xuefeng</creator><creator>Yan, Li</creator><creator>Du, Rui</creator><creator>Hu, Chunyan</creator><creator>Qin, Guijun</creator><creator>Wan, Qin</creator><creator>Chen, Gang</creator><creator>Dai, Meng</creator><creator>Zhang, Di</creator><creator>Gao, Zhengnan</creator><creator>Wang, Guixia</creator><creator>Shen, Feixia</creator><creator>Luo, Zuojie</creator><creator>Chen, Li</creator><creator>Huo, Yanan</creator><creator>Ye, Zhen</creator><creator>Tang, Xulei</creator><creator>Zhang, Yinfei</creator><creator>Liu, Chao</creator><creator>Wang, Youmin</creator><creator>Wu, Shengli</creator><creator>Yang, Tao</creator><creator>Deng, Huacong</creator><creator>Li, Donghui</creator><creator>Lai, Shenghan</creator><creator>Bloomgarden, Zachary T</creator><creator>Chen, Lulu</creator><creator>Zhao, Jiajun</creator><creator>Mu, Yiming</creator><creator>Ning, Guang</creator><creator>Wang, Weiqing</creator><general>American Diabetes Association</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>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-7613-1408</orcidid><orcidid>https://orcid.org/0000-0001-7670-8062</orcidid><orcidid>https://orcid.org/0000-0002-8456-1678</orcidid><orcidid>https://orcid.org/0000-0001-9621-9231</orcidid><orcidid>https://orcid.org/0000-0003-3863-9267</orcidid><orcidid>https://orcid.org/0000-0003-2377-6357</orcidid><orcidid>https://orcid.org/0000-0003-3736-7909</orcidid><orcidid>https://orcid.org/0000-0003-1317-0896</orcidid><orcidid>https://orcid.org/0000-0001-6027-3084</orcidid><orcidid>https://orcid.org/0000-0002-5754-7635</orcidid><orcidid>https://orcid.org/0000-0002-2503-7534</orcidid><orcidid>https://orcid.org/0000-0003-3961-9321</orcidid><orcidid>https://orcid.org/0000-0002-4829-5915</orcidid><orcidid>https://orcid.org/0000-0001-6375-3622</orcidid><orcidid>https://orcid.org/0000-0003-0723-489X</orcidid><orcidid>https://orcid.org/0000-0003-4464-453X</orcidid><orcidid>https://orcid.org/0000-0002-8673-3859</orcidid></search><sort><creationdate>202008</creationdate><title>Early Life Famine Exposure, Ideal Cardiovascular Health Metrics, and Risk of Incident Diabetes: Findings From the 4C Study</title><author>Lu, Jieli ; Li, Mian ; Xu, Yu ; Bi, Yufang ; Qin, Yingfen ; Li, Qiang ; Wang, Tiange ; Hu, Ruying ; Shi, Lixin ; Su, Qing ; Xu, Min ; Zhao, Zhiyun ; Chen, Yuhong ; Yu, Xuefeng ; Yan, Li ; Du, Rui ; Hu, Chunyan ; Qin, Guijun ; Wan, Qin ; Chen, Gang ; Dai, Meng ; Zhang, Di ; Gao, Zhengnan ; Wang, Guixia ; Shen, Feixia ; Luo, Zuojie ; Chen, Li ; Huo, Yanan ; Ye, Zhen ; Tang, Xulei ; Zhang, Yinfei ; Liu, Chao ; Wang, Youmin ; Wu, Shengli ; Yang, Tao ; Deng, Huacong ; Li, Donghui ; Lai, Shenghan ; Bloomgarden, Zachary T ; Chen, Lulu ; Zhao, Jiajun ; Mu, Yiming ; Ning, Guang ; Wang, Weiqing</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c348t-4804de28db2f582578ed7bb9d2e52c0591ba1e60cd489026bd1ce970d2ff9a463</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adult</topic><topic>Adverse Childhood Experiences - statistics & numerical data</topic><topic>Age of Onset</topic><topic>Blood pressure</topic><topic>Cardiovascular diseases</topic><topic>Cardiovascular Physiological Phenomena</topic><topic>Cardiovascular System - physiopathology</topic><topic>Child</topic><topic>Children</topic><topic>China - epidemiology</topic><topic>Cohort Studies</topic><topic>Diabetes</topic><topic>Diabetes mellitus</topic><topic>Diabetes Mellitus - epidemiology</topic><topic>Diabetes Mellitus - etiology</topic><topic>Diet</topic><topic>Exposure</topic><topic>Famine</topic><topic>Famine - statistics & numerical data</topic><topic>Female</topic><topic>Fetuses</topic><topic>Follow-Up Studies</topic><topic>Health risks</topic><topic>Humans</topic><topic>Incidence</topic><topic>Infant, Newborn</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Physical activity</topic><topic>Pregnancy</topic><topic>Prenatal Exposure Delayed Effects - epidemiology</topic><topic>Prenatal Exposure Delayed Effects - physiopathology</topic><topic>Quality Indicators, Health Care - standards</topic><topic>Quality Indicators, Health Care - statistics & numerical data</topic><topic>Research design</topic><topic>Risk</topic><topic>Risk Factors</topic><topic>Starvation - complications</topic><topic>Starvation - epidemiology</topic><topic>Starvation - physiopathology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lu, Jieli</creatorcontrib><creatorcontrib>Li, Mian</creatorcontrib><creatorcontrib>Xu, Yu</creatorcontrib><creatorcontrib>Bi, Yufang</creatorcontrib><creatorcontrib>Qin, Yingfen</creatorcontrib><creatorcontrib>Li, Qiang</creatorcontrib><creatorcontrib>Wang, Tiange</creatorcontrib><creatorcontrib>Hu, Ruying</creatorcontrib><creatorcontrib>Shi, Lixin</creatorcontrib><creatorcontrib>Su, Qing</creatorcontrib><creatorcontrib>Xu, Min</creatorcontrib><creatorcontrib>Zhao, Zhiyun</creatorcontrib><creatorcontrib>Chen, Yuhong</creatorcontrib><creatorcontrib>Yu, Xuefeng</creatorcontrib><creatorcontrib>Yan, Li</creatorcontrib><creatorcontrib>Du, Rui</creatorcontrib><creatorcontrib>Hu, Chunyan</creatorcontrib><creatorcontrib>Qin, Guijun</creatorcontrib><creatorcontrib>Wan, Qin</creatorcontrib><creatorcontrib>Chen, Gang</creatorcontrib><creatorcontrib>Dai, Meng</creatorcontrib><creatorcontrib>Zhang, Di</creatorcontrib><creatorcontrib>Gao, Zhengnan</creatorcontrib><creatorcontrib>Wang, Guixia</creatorcontrib><creatorcontrib>Shen, Feixia</creatorcontrib><creatorcontrib>Luo, Zuojie</creatorcontrib><creatorcontrib>Chen, Li</creatorcontrib><creatorcontrib>Huo, Yanan</creatorcontrib><creatorcontrib>Ye, Zhen</creatorcontrib><creatorcontrib>Tang, Xulei</creatorcontrib><creatorcontrib>Zhang, Yinfei</creatorcontrib><creatorcontrib>Liu, Chao</creatorcontrib><creatorcontrib>Wang, Youmin</creatorcontrib><creatorcontrib>Wu, Shengli</creatorcontrib><creatorcontrib>Yang, Tao</creatorcontrib><creatorcontrib>Deng, Huacong</creatorcontrib><creatorcontrib>Li, Donghui</creatorcontrib><creatorcontrib>Lai, Shenghan</creatorcontrib><creatorcontrib>Bloomgarden, Zachary T</creatorcontrib><creatorcontrib>Chen, Lulu</creatorcontrib><creatorcontrib>Zhao, Jiajun</creatorcontrib><creatorcontrib>Mu, Yiming</creatorcontrib><creatorcontrib>Ning, Guang</creatorcontrib><creatorcontrib>Wang, Weiqing</creatorcontrib><creatorcontrib>4C Study Group</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 Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>Diabetes care</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lu, Jieli</au><au>Li, Mian</au><au>Xu, Yu</au><au>Bi, Yufang</au><au>Qin, Yingfen</au><au>Li, Qiang</au><au>Wang, Tiange</au><au>Hu, Ruying</au><au>Shi, Lixin</au><au>Su, Qing</au><au>Xu, Min</au><au>Zhao, Zhiyun</au><au>Chen, Yuhong</au><au>Yu, Xuefeng</au><au>Yan, Li</au><au>Du, Rui</au><au>Hu, Chunyan</au><au>Qin, Guijun</au><au>Wan, Qin</au><au>Chen, Gang</au><au>Dai, Meng</au><au>Zhang, Di</au><au>Gao, Zhengnan</au><au>Wang, Guixia</au><au>Shen, Feixia</au><au>Luo, Zuojie</au><au>Chen, Li</au><au>Huo, Yanan</au><au>Ye, Zhen</au><au>Tang, Xulei</au><au>Zhang, Yinfei</au><au>Liu, Chao</au><au>Wang, Youmin</au><au>Wu, Shengli</au><au>Yang, Tao</au><au>Deng, Huacong</au><au>Li, Donghui</au><au>Lai, Shenghan</au><au>Bloomgarden, Zachary T</au><au>Chen, Lulu</au><au>Zhao, Jiajun</au><au>Mu, Yiming</au><au>Ning, Guang</au><au>Wang, Weiqing</au><aucorp>4C Study Group</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Early Life Famine Exposure, Ideal Cardiovascular Health Metrics, and Risk of Incident Diabetes: Findings From the 4C Study</atitle><jtitle>Diabetes care</jtitle><addtitle>Diabetes Care</addtitle><date>2020-08</date><risdate>2020</risdate><volume>43</volume><issue>8</issue><spage>1902</spage><epage>1909</epage><pages>1902-1909</pages><issn>0149-5992</issn><eissn>1935-5548</eissn><abstract>We aim to investigate the impact of ideal cardiovascular health metrics (ICVHMs) on the association between famine exposure and adulthood diabetes risk.
This study included 77,925 participants from the China Cardiometabolic Disease and Cancer Cohort (4C) Study who were born around the time of the Chinese Great Famine and free of diabetes at baseline. They were divided into three famine exposure groups according to the birth year, including nonexposed (1963-1974), fetal exposed (1959-1962), and childhood exposed (1949-1958). Relative risk regression was used to examine the associations between famine exposure and ICVHMs on diabetes.
During a mean follow-up of 3.6 years, the cumulative incidence of diabetes was 4.2%, 6.0%, and 7.5% in nonexposed, fetal-exposed, and childhood-exposed participants, respectively. Compared with nonexposed participants, fetal-exposed but not childhood-exposed participants had increased risks of diabetes, with multivariable-adjusted risk ratios (RRs) (95% CIs) of 1.17 (1.05-1.31) and 1.12 (0.96-1.30), respectively. Increased diabetes risks were observed in fetal-exposed individuals with nonideal dietary habits, nonideal physical activity, BMI ≥24.0 kg/m
, or blood pressure ≥120/80 mmHg, whereas significant interaction was detected only in BMI strata (
for interaction = 0.0018). Significant interactions have been detected between number of ICVHMs and famine exposure on the risk of diabetes (
for interaction = 0.0005). The increased risk was observed in fetal-exposed participants with one or fewer ICVHMs (RR 1.59 [95% CI 1.24-2.04]), but not in those with two or more ICVHMs.
The increased risk of diabetes associated with famine exposure appears to be modified by the presence of ICVHMs.</abstract><cop>United States</cop><pub>American Diabetes Association</pub><pmid>32499384</pmid><doi>10.2337/dc19-2325</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-7613-1408</orcidid><orcidid>https://orcid.org/0000-0001-7670-8062</orcidid><orcidid>https://orcid.org/0000-0002-8456-1678</orcidid><orcidid>https://orcid.org/0000-0001-9621-9231</orcidid><orcidid>https://orcid.org/0000-0003-3863-9267</orcidid><orcidid>https://orcid.org/0000-0003-2377-6357</orcidid><orcidid>https://orcid.org/0000-0003-3736-7909</orcidid><orcidid>https://orcid.org/0000-0003-1317-0896</orcidid><orcidid>https://orcid.org/0000-0001-6027-3084</orcidid><orcidid>https://orcid.org/0000-0002-5754-7635</orcidid><orcidid>https://orcid.org/0000-0002-2503-7534</orcidid><orcidid>https://orcid.org/0000-0003-3961-9321</orcidid><orcidid>https://orcid.org/0000-0002-4829-5915</orcidid><orcidid>https://orcid.org/0000-0001-6375-3622</orcidid><orcidid>https://orcid.org/0000-0003-0723-489X</orcidid><orcidid>https://orcid.org/0000-0003-4464-453X</orcidid><orcidid>https://orcid.org/0000-0002-8673-3859</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0149-5992 |
| ispartof | Diabetes care, 2020-08, Vol.43 (8), p.1902-1909 |
| issn | 0149-5992 1935-5548 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_2410350536 |
| source | MEDLINE; EZB Electronic Journals Library |
| subjects | Adult Adverse Childhood Experiences - statistics & numerical data Age of Onset Blood pressure Cardiovascular diseases Cardiovascular Physiological Phenomena Cardiovascular System - physiopathology Child Children China - epidemiology Cohort Studies Diabetes Diabetes mellitus Diabetes Mellitus - epidemiology Diabetes Mellitus - etiology Diet Exposure Famine Famine - statistics & numerical data Female Fetuses Follow-Up Studies Health risks Humans Incidence Infant, Newborn Male Middle Aged Physical activity Pregnancy Prenatal Exposure Delayed Effects - epidemiology Prenatal Exposure Delayed Effects - physiopathology Quality Indicators, Health Care - standards Quality Indicators, Health Care - statistics & numerical data Research design Risk Risk Factors Starvation - complications Starvation - epidemiology Starvation - physiopathology |
| title | Early Life Famine Exposure, Ideal Cardiovascular Health Metrics, and Risk of Incident Diabetes: Findings From the 4C Study |
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