Dietary Pattern Associated with Frailty: Results from Nutrition and Health Survey in Taiwan

Objectives To investigate whether dietary patterns are associated with frailty phenotypes in an elderly Taiwanese population. Design Cross‐sectional. Setting Nutrition and Health Survey in Taiwan (NAHSIT), 2014–2016. Participants Noninstitutionalized Taiwanese nationals aged 65 years and older enrol...

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Vydáno v:Journal of the American Geriatrics Society (JAGS) Ročník 65; číslo 9; s. 2009 - 2015
Hlavní autoři: Lo, Yen‐Li, Hsieh, Yao‐Te, Hsu, Li‐Lin, Chuang, Shao‐Yuan, Chang, Hsing‐Yi, Hsu, Chih‐Cheng, Chen, Ching‐Yu, Pan, Wen‐Harn
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States Wiley Subscription Services, Inc 01.09.2017
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ISSN:0002-8614, 1532-5415, 1532-5415
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Abstract Objectives To investigate whether dietary patterns are associated with frailty phenotypes in an elderly Taiwanese population. Design Cross‐sectional. Setting Nutrition and Health Survey in Taiwan (NAHSIT), 2014–2016. Participants Noninstitutionalized Taiwanese nationals aged 65 years and older enrolled in the NAHSIT (N = 923). Measurements Dietary intake was assessed using a 79‐item food‐frequency questionnaire (FFQ). Presence of 5 frailty phenotypes was determined using modified Fried criteria and are summed into a frailty score. Using data from the NAHSIT (2014–15), reduced rank regression was used to find a dietary pattern that explained maximal degree of variation of the frailty scores. Logistic regression models were used to estimate the association between frailty and dietary pattern. The findings were validated with data from 2016. Results The derived dietary pattern was characterized with a high consumption of fruit, nuts and seeds, tea, vegetables, whole grains, shellfish, milk, and fish. The prevalence of frailty was 7.8% and of prefrailty was 50.8%, defined using the modified Fried criteria. Using data from the NAHSIT (2014–15), the dietary pattern score showed an inverse dose‐response relationship with prevalence of frailty and pre‐frailty. Individuals in the second dietary pattern tertile were one‐third as likely to be frail as those in the first tertile (adjusted odds ratio (aOR) = 0.32, 95% confidence interval (CI) = 0.12−0.85), and those in the third tertile were 4% as likely to be frail as those in the first tertile (aOR = 0.04, 95% CI = 0.01−0.18). The dietary pattern score estimated using FFQ data from the NAHSIT 2016 was also significantly and inversely associated with frailty. Conclusion Individuals with a dietary pattern with more phytonutrient‐rich plant foods, tea, omega‐3‐rich deep‐sea fish, and other protein‐rich foods such as shellfish and milk had a reduced prevalence of frailty. Further research is necessary to confirm these findings and investigate whether related dietary interventions can reduce frailty in older adults.
AbstractList ObjectivesTo investigate whether dietary patterns are associated with frailty phenotypes in an elderly Taiwanese population.DesignCross‐sectional.SettingNutrition and Health Survey in Taiwan (NAHSIT), 2014–2016.ParticipantsNoninstitutionalized Taiwanese nationals aged 65 years and older enrolled in the NAHSIT (N = 923).MeasurementsDietary intake was assessed using a 79‐item food‐frequency questionnaire (FFQ). Presence of 5 frailty phenotypes was determined using modified Fried criteria and are summed into a frailty score. Using data from the NAHSIT (2014–15), reduced rank regression was used to find a dietary pattern that explained maximal degree of variation of the frailty scores. Logistic regression models were used to estimate the association between frailty and dietary pattern. The findings were validated with data from 2016.ResultsThe derived dietary pattern was characterized with a high consumption of fruit, nuts and seeds, tea, vegetables, whole grains, shellfish, milk, and fish. The prevalence of frailty was 7.8% and of prefrailty was 50.8%, defined using the modified Fried criteria. Using data from the NAHSIT (2014–15), the dietary pattern score showed an inverse dose‐response relationship with prevalence of frailty and pre‐frailty. Individuals in the second dietary pattern tertile were one‐third as likely to be frail as those in the first tertile (adjusted odds ratio (aOR) = 0.32, 95% confidence interval (CI) = 0.12−0.85), and those in the third tertile were 4% as likely to be frail as those in the first tertile (aOR = 0.04, 95% CI = 0.01−0.18). The dietary pattern score estimated using FFQ data from the NAHSIT 2016 was also significantly and inversely associated with frailty.ConclusionIndividuals with a dietary pattern with more phytonutrient‐rich plant foods, tea, omega‐3‐rich deep‐sea fish, and other protein‐rich foods such as shellfish and milk had a reduced prevalence of frailty. Further research is necessary to confirm these findings and investigate whether related dietary interventions can reduce frailty in older adults.
To investigate whether dietary patterns are associated with frailty phenotypes in an elderly Taiwanese population.OBJECTIVESTo investigate whether dietary patterns are associated with frailty phenotypes in an elderly Taiwanese population.Cross-sectional.DESIGNCross-sectional.Nutrition and Health Survey in Taiwan (NAHSIT), 2014-2016.SETTINGNutrition and Health Survey in Taiwan (NAHSIT), 2014-2016.Noninstitutionalized Taiwanese nationals aged 65 years and older enrolled in the NAHSIT (N = 923).PARTICIPANTSNoninstitutionalized Taiwanese nationals aged 65 years and older enrolled in the NAHSIT (N = 923).Dietary intake was assessed using a 79-item food-frequency questionnaire (FFQ). Presence of 5 frailty phenotypes was determined using modified Fried criteria and are summed into a frailty score. Using data from the NAHSIT (2014-15), reduced rank regression was used to find a dietary pattern that explained maximal degree of variation of the frailty scores. Logistic regression models were used to estimate the association between frailty and dietary pattern. The findings were validated with data from 2016.MEASUREMENTSDietary intake was assessed using a 79-item food-frequency questionnaire (FFQ). Presence of 5 frailty phenotypes was determined using modified Fried criteria and are summed into a frailty score. Using data from the NAHSIT (2014-15), reduced rank regression was used to find a dietary pattern that explained maximal degree of variation of the frailty scores. Logistic regression models were used to estimate the association between frailty and dietary pattern. The findings were validated with data from 2016.The derived dietary pattern was characterized with a high consumption of fruit, nuts and seeds, tea, vegetables, whole grains, shellfish, milk, and fish. The prevalence of frailty was 7.8% and of prefrailty was 50.8%, defined using the modified Fried criteria. Using data from the NAHSIT (2014-15), the dietary pattern score showed an inverse dose-response relationship with prevalence of frailty and pre-frailty. Individuals in the second dietary pattern tertile were one-third as likely to be frail as those in the first tertile (adjusted odds ratio (aOR) = 0.32, 95% confidence interval (CI) = 0.12-0.85), and those in the third tertile were 4% as likely to be frail as those in the first tertile (aOR = 0.04, 95% CI = 0.01-0.18). The dietary pattern score estimated using FFQ data from the NAHSIT 2016 was also significantly and inversely associated with frailty.RESULTSThe derived dietary pattern was characterized with a high consumption of fruit, nuts and seeds, tea, vegetables, whole grains, shellfish, milk, and fish. The prevalence of frailty was 7.8% and of prefrailty was 50.8%, defined using the modified Fried criteria. Using data from the NAHSIT (2014-15), the dietary pattern score showed an inverse dose-response relationship with prevalence of frailty and pre-frailty. Individuals in the second dietary pattern tertile were one-third as likely to be frail as those in the first tertile (adjusted odds ratio (aOR) = 0.32, 95% confidence interval (CI) = 0.12-0.85), and those in the third tertile were 4% as likely to be frail as those in the first tertile (aOR = 0.04, 95% CI = 0.01-0.18). The dietary pattern score estimated using FFQ data from the NAHSIT 2016 was also significantly and inversely associated with frailty.Individuals with a dietary pattern with more phytonutrient-rich plant foods, tea, omega-3-rich deep-sea fish, and other protein-rich foods such as shellfish and milk had a reduced prevalence of frailty. Further research is necessary to confirm these findings and investigate whether related dietary interventions can reduce frailty in older adults.CONCLUSIONIndividuals with a dietary pattern with more phytonutrient-rich plant foods, tea, omega-3-rich deep-sea fish, and other protein-rich foods such as shellfish and milk had a reduced prevalence of frailty. Further research is necessary to confirm these findings and investigate whether related dietary interventions can reduce frailty in older adults.
To investigate whether dietary patterns are associated with frailty phenotypes in an elderly Taiwanese population. Cross-sectional. Nutrition and Health Survey in Taiwan (NAHSIT), 2014-2016. Noninstitutionalized Taiwanese nationals aged 65 years and older enrolled in the NAHSIT (N = 923). Dietary intake was assessed using a 79-item food-frequency questionnaire (FFQ). Presence of 5 frailty phenotypes was determined using modified Fried criteria and are summed into a frailty score. Using data from the NAHSIT (2014-15), reduced rank regression was used to find a dietary pattern that explained maximal degree of variation of the frailty scores. Logistic regression models were used to estimate the association between frailty and dietary pattern. The findings were validated with data from 2016. The derived dietary pattern was characterized with a high consumption of fruit, nuts and seeds, tea, vegetables, whole grains, shellfish, milk, and fish. The prevalence of frailty was 7.8% and of prefrailty was 50.8%, defined using the modified Fried criteria. Using data from the NAHSIT (2014-15), the dietary pattern score showed an inverse dose-response relationship with prevalence of frailty and pre-frailty. Individuals in the second dietary pattern tertile were one-third as likely to be frail as those in the first tertile (adjusted odds ratio (aOR) = 0.32, 95% confidence interval (CI) = 0.12-0.85), and those in the third tertile were 4% as likely to be frail as those in the first tertile (aOR = 0.04, 95% CI = 0.01-0.18). The dietary pattern score estimated using FFQ data from the NAHSIT 2016 was also significantly and inversely associated with frailty. Individuals with a dietary pattern with more phytonutrient-rich plant foods, tea, omega-3-rich deep-sea fish, and other protein-rich foods such as shellfish and milk had a reduced prevalence of frailty. Further research is necessary to confirm these findings and investigate whether related dietary interventions can reduce frailty in older adults.
Objectives To investigate whether dietary patterns are associated with frailty phenotypes in an elderly Taiwanese population. Design Cross‐sectional. Setting Nutrition and Health Survey in Taiwan (NAHSIT), 2014–2016. Participants Noninstitutionalized Taiwanese nationals aged 65 years and older enrolled in the NAHSIT (N = 923). Measurements Dietary intake was assessed using a 79‐item food‐frequency questionnaire (FFQ). Presence of 5 frailty phenotypes was determined using modified Fried criteria and are summed into a frailty score. Using data from the NAHSIT (2014–15), reduced rank regression was used to find a dietary pattern that explained maximal degree of variation of the frailty scores. Logistic regression models were used to estimate the association between frailty and dietary pattern. The findings were validated with data from 2016. Results The derived dietary pattern was characterized with a high consumption of fruit, nuts and seeds, tea, vegetables, whole grains, shellfish, milk, and fish. The prevalence of frailty was 7.8% and of prefrailty was 50.8%, defined using the modified Fried criteria. Using data from the NAHSIT (2014–15), the dietary pattern score showed an inverse dose‐response relationship with prevalence of frailty and pre‐frailty. Individuals in the second dietary pattern tertile were one‐third as likely to be frail as those in the first tertile (adjusted odds ratio (aOR) = 0.32, 95% confidence interval (CI) = 0.12−0.85), and those in the third tertile were 4% as likely to be frail as those in the first tertile (aOR = 0.04, 95% CI = 0.01−0.18). The dietary pattern score estimated using FFQ data from the NAHSIT 2016 was also significantly and inversely associated with frailty. Conclusion Individuals with a dietary pattern with more phytonutrient‐rich plant foods, tea, omega‐3‐rich deep‐sea fish, and other protein‐rich foods such as shellfish and milk had a reduced prevalence of frailty. Further research is necessary to confirm these findings and investigate whether related dietary interventions can reduce frailty in older adults.
Author Hsu, Li‐Lin
Chen, Ching‐Yu
Chang, Hsing‐Yi
Hsieh, Yao‐Te
Hsu, Chih‐Cheng
Pan, Wen‐Harn
Lo, Yen‐Li
Chuang, Shao‐Yuan
Author_xml – sequence: 1
  givenname: Yen‐Li
  surname: Lo
  fullname: Lo, Yen‐Li
  organization: Academia Sinica
– sequence: 2
  givenname: Yao‐Te
  surname: Hsieh
  fullname: Hsieh, Yao‐Te
  organization: Academia Sinica
– sequence: 3
  givenname: Li‐Lin
  surname: Hsu
  fullname: Hsu, Li‐Lin
  organization: Academia Sinica
– sequence: 4
  givenname: Shao‐Yuan
  surname: Chuang
  fullname: Chuang, Shao‐Yuan
  organization: National Health Research Institute
– sequence: 5
  givenname: Hsing‐Yi
  surname: Chang
  fullname: Chang, Hsing‐Yi
  organization: National Health Research Institute
– sequence: 6
  givenname: Chih‐Cheng
  surname: Hsu
  fullname: Hsu, Chih‐Cheng
  organization: National Health Research Institute
– sequence: 7
  givenname: Ching‐Yu
  surname: Chen
  fullname: Chen, Ching‐Yu
  organization: National Taiwan University
– sequence: 8
  givenname: Wen‐Harn
  surname: Pan
  fullname: Pan, Wen‐Harn
  email: pan@ibms.sinica.edu.tw
  organization: Academia Sinica
BackLink https://www.ncbi.nlm.nih.gov/pubmed/28603896$$D View this record in MEDLINE/PubMed
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2017, Copyright the Authors Journal compilation © 2017, The American Geriatrics Society.
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IsPeerReviewed true
IsScholarly true
Issue 9
Keywords frailty
reduced rank regression
dietary pattern
Nutrition and Health Survey in Taiwan (NAHSIT)
elderly
Language English
License http://onlinelibrary.wiley.com/termsAndConditions#vor
2017, Copyright the Authors Journal compilation © 2017, The American Geriatrics Society.
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PublicationTitle Journal of the American Geriatrics Society (JAGS)
PublicationTitleAlternate J Am Geriatr Soc
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2012; 60
2010; 11
2007; 104
2012; 142
2010; 58
2013; 68A
2006; 61A
2014; 69A
2002; 13
2008; 16
1988; 16
1999; 24
1996; 50
2008; 56
2015; 128
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2010; 21
2013; 14
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2015; 113
2001; 5
2013; 12
2011; 20
2014; 15
2012; 67A
2014; 18
2003; 1
2001; 56
2009; 2
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Snippet Objectives To investigate whether dietary patterns are associated with frailty phenotypes in an elderly Taiwanese population. Design Cross‐sectional. Setting...
To investigate whether dietary patterns are associated with frailty phenotypes in an elderly Taiwanese population. Cross-sectional. Nutrition and Health Survey...
ObjectivesTo investigate whether dietary patterns are associated with frailty phenotypes in an elderly Taiwanese...
To investigate whether dietary patterns are associated with frailty phenotypes in an elderly Taiwanese population.OBJECTIVESTo investigate whether dietary...
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SourceType Aggregation Database
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Publisher
StartPage 2009
SubjectTerms Adults
Aged
Criteria
Cross-Sectional Studies
Data
Diet
Diet, Mediterranean - statistics & numerical data
Dietary intake
dietary pattern
elderly
Female
Fish
Food
Food consumption
Food plants
Frail
Frail Elderly - statistics & numerical data
Frailty
Geriatrics
Health surveys
Healthy food
Humans
Male
Milk
Nutrition
Nutrition and Health Survey in Taiwan (NAHSIT)
Nutrition Surveys
Nuts
Older people
Phenotypes
Polls & surveys
reduced rank regression
Regression analysis
Seeds
Shellfish
Surveys and Questionnaires
Taiwan
Tea
Vegetables
Title Dietary Pattern Associated with Frailty: Results from Nutrition and Health Survey in Taiwan
URI https://onlinelibrary.wiley.com/doi/abs/10.1111%2Fjgs.14972
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