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Relationship between diet quality scores and the risk of frailty and mortality in adults across a wide age spectrum
Beyond intakes of total energy and individual nutrient, eating patterns may influence health, and thereby the risk of adverse outcomes. How different diet measures relate to frailty-a general measure of increased vulnerability to unfavorable health outcomes-and mortality risk, and how this might var...
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Published in: | BMC medicine 2021-03, Vol.19 (1), p.64-13, Article 64 |
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description | Beyond intakes of total energy and individual nutrient, eating patterns may influence health, and thereby the risk of adverse outcomes. How different diet measures relate to frailty-a general measure of increased vulnerability to unfavorable health outcomes-and mortality risk, and how this might vary across the life course, is not known. We investigated the associations of five dietary indices (Nutrition Index (NI), the energy-density Dietary Inflammatory Index (E-DII™), Healthy Eating Index-2015 (HEI-2015), Mediterranean Diet Score (MDS), and Dietary Approaches to Stop Hypertension (DASH)) with frailty and mortality.
We included 15,249 participants aged ≥ 20 years from the 2007-2012 cohorts of the National Health and Nutrition Examination Survey (NHANES). The NI combined 31 nutrition-related deficits. The E-DII is a literature-derived dietary index associated with inflammation. The HEI-2015 assesses adherence to the Dietary Guidelines of Americans. The MDS represents adherence to the traditional Mediterranean diet. DASH combines macronutrients and micronutrients to prevent hypertension. Frailty was evaluated using a 36-item frailty index. Mortality status was ascertained up to December 31, 2015.
Participants' mean age was 47.2 ± 16.7 years and 51.7% were women. After adjusting for age, sex, race, educational level, marital and employment status, smoking, BMI, and study cohort, higher NI and E-DII scores and lower HEI-2015, MDS, and DASH scores were individually significantly associated with frailty. All dietary scores were significantly associated with 8-year mortality risk after adjusting for basic covariates and frailty: NI (hazard ratio per 0.1 point, 1.15, 95%CI 1.10-1.21), E-DII (per 1 point, 1.05, 1.01-1.08), HEI-2015 (per 10 points, 0.93, 0.89-0.97), MDS (per 1 point, 0.94, 0.90-0.97), and DASH (per 1 point, 0.96, 0.93-0.99). The associations of E-DII, HEI-2015, and MDS scores with 8-year mortality risk persisted after additionally adjusting for NI.
NI, E-DII, HEI-2015, MDS, and DASH scores are associated with frailty and 8-year mortality risk in adults across all ages. Nevertheless, their mechanisms and sensitivity to predict health outcomes may differ. Nutrition scores have the potential to include measures of both consumption and laboratory and physical measures of exposure. |
doi_str_mv | 10.1186/s12916-021-01918-5 |
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We included 15,249 participants aged ≥ 20 years from the 2007-2012 cohorts of the National Health and Nutrition Examination Survey (NHANES). The NI combined 31 nutrition-related deficits. The E-DII is a literature-derived dietary index associated with inflammation. The HEI-2015 assesses adherence to the Dietary Guidelines of Americans. The MDS represents adherence to the traditional Mediterranean diet. DASH combines macronutrients and micronutrients to prevent hypertension. Frailty was evaluated using a 36-item frailty index. Mortality status was ascertained up to December 31, 2015.
Participants' mean age was 47.2 ± 16.7 years and 51.7% were women. After adjusting for age, sex, race, educational level, marital and employment status, smoking, BMI, and study cohort, higher NI and E-DII scores and lower HEI-2015, MDS, and DASH scores were individually significantly associated with frailty. All dietary scores were significantly associated with 8-year mortality risk after adjusting for basic covariates and frailty: NI (hazard ratio per 0.1 point, 1.15, 95%CI 1.10-1.21), E-DII (per 1 point, 1.05, 1.01-1.08), HEI-2015 (per 10 points, 0.93, 0.89-0.97), MDS (per 1 point, 0.94, 0.90-0.97), and DASH (per 1 point, 0.96, 0.93-0.99). The associations of E-DII, HEI-2015, and MDS scores with 8-year mortality risk persisted after additionally adjusting for NI.
NI, E-DII, HEI-2015, MDS, and DASH scores are associated with frailty and 8-year mortality risk in adults across all ages. Nevertheless, their mechanisms and sensitivity to predict health outcomes may differ. Nutrition scores have the potential to include measures of both consumption and laboratory and physical measures of exposure.</description><identifier>ISSN: 1741-7015</identifier><identifier>EISSN: 1741-7015</identifier><identifier>DOI: 10.1186/s12916-021-01918-5</identifier><identifier>PMID: 33722232</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Adults ; Age ; Blood tests ; Cancer ; Cholesterol ; Cohort Studies ; Dairy products ; Demographic aspects ; Diet ; Diet - standards ; Dietary indices ; Dietary score ; Disease ; Eating ; Energy ; Fatty acids ; Female ; Frail elderly ; Frailty ; Frailty - diagnosis ; Frailty index ; Fruits ; Grain ; Health aspects ; Health risks ; Humans ; Hypertension ; Inflammation ; Male ; Malnutrition ; Metabolism ; Micronutrients ; Middle Aged ; Mortality ; Nutrients ; Nutrition ; Nutrition Assessment ; Nutrition research ; Nutrition Surveys ; Nutritional status ; Older people ; Proteins ; Risk ; Risk factors ; United States ; Vegetables ; Vitamins</subject><ispartof>BMC medicine, 2021-03, Vol.19 (1), p.64-13, Article 64</ispartof><rights>COPYRIGHT 2021 BioMed Central Ltd.</rights><rights>2021. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s) 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c594t-1e52c6003acdfdbca4c002b7d2273d3c963508064205dcffdbb65a9022b5052e3</citedby><cites>FETCH-LOGICAL-c594t-1e52c6003acdfdbca4c002b7d2273d3c963508064205dcffdbb65a9022b5052e3</cites><orcidid>0000-0002-6674-995X</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/PMC7962372/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2502641197?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33722232$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Jayanama, Kulapong</creatorcontrib><creatorcontrib>Theou, Olga</creatorcontrib><creatorcontrib>Godin, Judith</creatorcontrib><creatorcontrib>Cahill, Leah</creatorcontrib><creatorcontrib>Shivappa, Nitin</creatorcontrib><creatorcontrib>Hébert, James R</creatorcontrib><creatorcontrib>Wirth, Michael D</creatorcontrib><creatorcontrib>Park, Yong-Moon</creatorcontrib><creatorcontrib>Fung, Teresa T</creatorcontrib><creatorcontrib>Rockwood, Kenneth</creatorcontrib><title>Relationship between diet quality scores and the risk of frailty and mortality in adults across a wide age spectrum</title><title>BMC medicine</title><addtitle>BMC Med</addtitle><description>Beyond intakes of total energy and individual nutrient, eating patterns may influence health, and thereby the risk of adverse outcomes. How different diet measures relate to frailty-a general measure of increased vulnerability to unfavorable health outcomes-and mortality risk, and how this might vary across the life course, is not known. We investigated the associations of five dietary indices (Nutrition Index (NI), the energy-density Dietary Inflammatory Index (E-DII™), Healthy Eating Index-2015 (HEI-2015), Mediterranean Diet Score (MDS), and Dietary Approaches to Stop Hypertension (DASH)) with frailty and mortality.
We included 15,249 participants aged ≥ 20 years from the 2007-2012 cohorts of the National Health and Nutrition Examination Survey (NHANES). The NI combined 31 nutrition-related deficits. The E-DII is a literature-derived dietary index associated with inflammation. The HEI-2015 assesses adherence to the Dietary Guidelines of Americans. The MDS represents adherence to the traditional Mediterranean diet. DASH combines macronutrients and micronutrients to prevent hypertension. Frailty was evaluated using a 36-item frailty index. Mortality status was ascertained up to December 31, 2015.
Participants' mean age was 47.2 ± 16.7 years and 51.7% were women. After adjusting for age, sex, race, educational level, marital and employment status, smoking, BMI, and study cohort, higher NI and E-DII scores and lower HEI-2015, MDS, and DASH scores were individually significantly associated with frailty. All dietary scores were significantly associated with 8-year mortality risk after adjusting for basic covariates and frailty: NI (hazard ratio per 0.1 point, 1.15, 95%CI 1.10-1.21), E-DII (per 1 point, 1.05, 1.01-1.08), HEI-2015 (per 10 points, 0.93, 0.89-0.97), MDS (per 1 point, 0.94, 0.90-0.97), and DASH (per 1 point, 0.96, 0.93-0.99). The associations of E-DII, HEI-2015, and MDS scores with 8-year mortality risk persisted after additionally adjusting for NI.
NI, E-DII, HEI-2015, MDS, and DASH scores are associated with frailty and 8-year mortality risk in adults across all ages. Nevertheless, their mechanisms and sensitivity to predict health outcomes may differ. Nutrition scores have the potential to include measures of both consumption and laboratory and physical measures of exposure.</description><subject>Adults</subject><subject>Age</subject><subject>Blood tests</subject><subject>Cancer</subject><subject>Cholesterol</subject><subject>Cohort Studies</subject><subject>Dairy products</subject><subject>Demographic aspects</subject><subject>Diet</subject><subject>Diet - standards</subject><subject>Dietary indices</subject><subject>Dietary score</subject><subject>Disease</subject><subject>Eating</subject><subject>Energy</subject><subject>Fatty acids</subject><subject>Female</subject><subject>Frail elderly</subject><subject>Frailty</subject><subject>Frailty - diagnosis</subject><subject>Frailty index</subject><subject>Fruits</subject><subject>Grain</subject><subject>Health aspects</subject><subject>Health risks</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Inflammation</subject><subject>Male</subject><subject>Malnutrition</subject><subject>Metabolism</subject><subject>Micronutrients</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>Nutrients</subject><subject>Nutrition</subject><subject>Nutrition Assessment</subject><subject>Nutrition research</subject><subject>Nutrition Surveys</subject><subject>Nutritional status</subject><subject>Older people</subject><subject>Proteins</subject><subject>Risk</subject><subject>Risk factors</subject><subject>United States</subject><subject>Vegetables</subject><subject>Vitamins</subject><issn>1741-7015</issn><issn>1741-7015</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptkt9rFDEQxxdRbK3-Az5IQBBftiaTTXb3RSjFH4WCIPocssnsXc7dzTXJtvS_N3db651IHibMfOYbZvItiteMnjPWyA-RQctkSYGVlLWsKcWT4pTVFStrysTTg_tJ8SLGDaUg6rp6XpxwXgMAh9MifsdBJ-enuHZb0mG6Q5yIdZjIzawHl-5JND5gJHqyJK2RBBd_Ed-TPmg35PIuP_qQFthNRNt5SJk3wcccyJ2zSPQKSdyiSWEeXxbPej1EfPUQz4qfnz_9uPxaXn_7cnV5cV0a0VapZCjASEq5Nra3ndGVyRN0tQWoueWmlVzQhsoKqLCmz0gnhW4pQCeoAORnxdWia73eqG1wow73ymun9gkfVkqH5MyAyoKhnFOg2PZVQ6vGomkYs01DOVgps9bHRWs7dyNag1MKejgSPa5Mbq1W_lbVrYS87Szw_kEg-JsZY1KjiwaHQU_o56hAUNZUrRRVRt_-g278HKa8qh0FsmKsrf9SK50HcFPv87tmJ6oupMgQCNlk6vw_VD4WR2f8hL3L-aOGdwcNa9RDWkc_zHuPHIOwgPt_Dtg_LoNRtfOnWvypsj_V3p9K5KY3h2t8bPljSP4bdtXfCQ</recordid><startdate>20210316</startdate><enddate>20210316</enddate><creator>Jayanama, Kulapong</creator><creator>Theou, Olga</creator><creator>Godin, Judith</creator><creator>Cahill, Leah</creator><creator>Shivappa, Nitin</creator><creator>Hébert, James R</creator><creator>Wirth, Michael D</creator><creator>Park, Yong-Moon</creator><creator>Fung, Teresa T</creator><creator>Rockwood, Kenneth</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><general>BMC</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>7QL</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H94</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-6674-995X</orcidid></search><sort><creationdate>20210316</creationdate><title>Relationship between diet quality scores and the risk of frailty and mortality in adults across a wide age spectrum</title><author>Jayanama, Kulapong ; Theou, Olga ; Godin, Judith ; Cahill, Leah ; Shivappa, Nitin ; Hébert, James R ; Wirth, Michael D ; Park, Yong-Moon ; Fung, Teresa T ; Rockwood, Kenneth</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c594t-1e52c6003acdfdbca4c002b7d2273d3c963508064205dcffdbb65a9022b5052e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Adults</topic><topic>Age</topic><topic>Blood tests</topic><topic>Cancer</topic><topic>Cholesterol</topic><topic>Cohort Studies</topic><topic>Dairy products</topic><topic>Demographic aspects</topic><topic>Diet</topic><topic>Diet - standards</topic><topic>Dietary indices</topic><topic>Dietary score</topic><topic>Disease</topic><topic>Eating</topic><topic>Energy</topic><topic>Fatty acids</topic><topic>Female</topic><topic>Frail elderly</topic><topic>Frailty</topic><topic>Frailty - diagnosis</topic><topic>Frailty index</topic><topic>Fruits</topic><topic>Grain</topic><topic>Health aspects</topic><topic>Health risks</topic><topic>Humans</topic><topic>Hypertension</topic><topic>Inflammation</topic><topic>Male</topic><topic>Malnutrition</topic><topic>Metabolism</topic><topic>Micronutrients</topic><topic>Middle Aged</topic><topic>Mortality</topic><topic>Nutrients</topic><topic>Nutrition</topic><topic>Nutrition Assessment</topic><topic>Nutrition research</topic><topic>Nutrition Surveys</topic><topic>Nutritional status</topic><topic>Older people</topic><topic>Proteins</topic><topic>Risk</topic><topic>Risk factors</topic><topic>United States</topic><topic>Vegetables</topic><topic>Vitamins</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jayanama, Kulapong</creatorcontrib><creatorcontrib>Theou, Olga</creatorcontrib><creatorcontrib>Godin, Judith</creatorcontrib><creatorcontrib>Cahill, Leah</creatorcontrib><creatorcontrib>Shivappa, Nitin</creatorcontrib><creatorcontrib>Hébert, James R</creatorcontrib><creatorcontrib>Wirth, Michael D</creatorcontrib><creatorcontrib>Park, Yong-Moon</creatorcontrib><creatorcontrib>Fung, Teresa T</creatorcontrib><creatorcontrib>Rockwood, Kenneth</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 Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Virology and AIDS Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Environmental Sciences and Pollution Management</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>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>BMC medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jayanama, Kulapong</au><au>Theou, Olga</au><au>Godin, Judith</au><au>Cahill, Leah</au><au>Shivappa, Nitin</au><au>Hébert, James R</au><au>Wirth, Michael D</au><au>Park, Yong-Moon</au><au>Fung, Teresa T</au><au>Rockwood, Kenneth</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Relationship between diet quality scores and the risk of frailty and mortality in adults across a wide age spectrum</atitle><jtitle>BMC medicine</jtitle><addtitle>BMC Med</addtitle><date>2021-03-16</date><risdate>2021</risdate><volume>19</volume><issue>1</issue><spage>64</spage><epage>13</epage><pages>64-13</pages><artnum>64</artnum><issn>1741-7015</issn><eissn>1741-7015</eissn><abstract>Beyond intakes of total energy and individual nutrient, eating patterns may influence health, and thereby the risk of adverse outcomes. How different diet measures relate to frailty-a general measure of increased vulnerability to unfavorable health outcomes-and mortality risk, and how this might vary across the life course, is not known. We investigated the associations of five dietary indices (Nutrition Index (NI), the energy-density Dietary Inflammatory Index (E-DII™), Healthy Eating Index-2015 (HEI-2015), Mediterranean Diet Score (MDS), and Dietary Approaches to Stop Hypertension (DASH)) with frailty and mortality.
We included 15,249 participants aged ≥ 20 years from the 2007-2012 cohorts of the National Health and Nutrition Examination Survey (NHANES). The NI combined 31 nutrition-related deficits. The E-DII is a literature-derived dietary index associated with inflammation. The HEI-2015 assesses adherence to the Dietary Guidelines of Americans. The MDS represents adherence to the traditional Mediterranean diet. DASH combines macronutrients and micronutrients to prevent hypertension. Frailty was evaluated using a 36-item frailty index. Mortality status was ascertained up to December 31, 2015.
Participants' mean age was 47.2 ± 16.7 years and 51.7% were women. After adjusting for age, sex, race, educational level, marital and employment status, smoking, BMI, and study cohort, higher NI and E-DII scores and lower HEI-2015, MDS, and DASH scores were individually significantly associated with frailty. All dietary scores were significantly associated with 8-year mortality risk after adjusting for basic covariates and frailty: NI (hazard ratio per 0.1 point, 1.15, 95%CI 1.10-1.21), E-DII (per 1 point, 1.05, 1.01-1.08), HEI-2015 (per 10 points, 0.93, 0.89-0.97), MDS (per 1 point, 0.94, 0.90-0.97), and DASH (per 1 point, 0.96, 0.93-0.99). The associations of E-DII, HEI-2015, and MDS scores with 8-year mortality risk persisted after additionally adjusting for NI.
NI, E-DII, HEI-2015, MDS, and DASH scores are associated with frailty and 8-year mortality risk in adults across all ages. Nevertheless, their mechanisms and sensitivity to predict health outcomes may differ. Nutrition scores have the potential to include measures of both consumption and laboratory and physical measures of exposure.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>33722232</pmid><doi>10.1186/s12916-021-01918-5</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0002-6674-995X</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adults Age Blood tests Cancer Cholesterol Cohort Studies Dairy products Demographic aspects Diet Diet - standards Dietary indices Dietary score Disease Eating Energy Fatty acids Female Frail elderly Frailty Frailty - diagnosis Frailty index Fruits Grain Health aspects Health risks Humans Hypertension Inflammation Male Malnutrition Metabolism Micronutrients Middle Aged Mortality Nutrients Nutrition Nutrition Assessment Nutrition research Nutrition Surveys Nutritional status Older people Proteins Risk Risk factors United States Vegetables Vitamins |
title | Relationship between diet quality scores and the risk of frailty and mortality in adults across a wide age spectrum |
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