Data-Driven Clustering Approach to Derive Taste Perception Profiles from Sweet, Salt, Sour, Bitter, and Umami Perception Scores: An Illustration among Older Adults with Metabolic Syndrome.
Background: Current approaches to studying relations between taste perception and diet quality typically consider each taste-sweet, salt, sour, bitter, umami-separately or aggregately, as total taste scores. Consistent with studying dietary patterns rather than single foods or total energy, an addit...
| Publicado en: | Journal of Nutrition Vol. 151; no. 9; pp. 2843 - 2852 |
|---|---|
| Autores principales: | , , , , , , , , , , |
| Formato: | clinical trial research tables/charts Journal Article |
| Publicado: |
Elsevier B.V.
Sep2021
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=152353090&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 152353090 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00223166 NUI jtl: Journal of Nutrition issn: 00223166 maglogo: N pubinfo: dt: Sep2021 vid: 151 iid: 9 pid: 467 pub: Elsevier B.V. place: New York, New York artinfo: ui: 152353090 152353090 NLM34114008 152353090 10.1093/jn/nxab160 NLM34114008 152353090 ppf: 2843 ppct: 9 formats: tig: atl: Data-Driven Clustering Approach to Derive Taste Perception Profiles from Sweet, Salt, Sour, Bitter, and Umami Perception Scores: An Illustration among Older Adults with Metabolic Syndrome. aug: au: Gervis, Julie E Chui, Kenneth K H Ma, Jiantao Coltell, Oscar Fernández-Carrión, Rebeca Sorlí, José V Barragán, Rocío Fitó, Montserrat González, José I Corella, Dolores Lichtenstein, Alice H affil: Cardiovascular Nutrition Laboratory, Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University , Boston, MA, USA sug: subj: Taste Female Cluster Analysis Aged Sodium Chloride Male Comparative Studies Multicenter Studies Evaluation Research Funding Source Clinical Trials Human Aged: 65+ years Female Male ab: Background: Current approaches to studying relations between taste perception and diet quality typically consider each taste-sweet, salt, sour, bitter, umami-separately or aggregately, as total taste scores. Consistent with studying dietary patterns rather than single foods or total energy, an additional approach may be to study all 5 tastes collectively as "taste perception profiles."Objective: We developed a data-driven clustering approach to derive taste perception profiles from taste perception scores and examined whether profiles outperformed total taste scores for capturing individual variability in taste perception.Methods: The cohort included 367 community-dwelling adults [55-75 y; 55% female; BMI (kg/m2): 32.2 ± 3.6] with metabolic syndrome from PREDIMED-Plus, Valencia. Cluster analysis identified subgroups of individuals with similar patterns in taste perception (taste perception profiles); quantitative criteria were used to select the cluster algorithm, determine the optimal number of clusters, and assess the profiles' validity and stability. Goodness-of-fit parameters from adjusted linear regression evaluated the individual variability captured by each approach.Results: A k-means algorithm with 6 clusters best fit the data and identified the following taste perception profiles: Low All, High Bitter, High Umami, Low Bitter & Umami, High All But Bitter and High All But Umami. All profiles were valid and stable. Compared with total taste scores, taste perception profiles explained more variability in bitter and umami perception (adjusted R2: 0.19 vs. 0.63, respectively; 0.40 vs. 0.65, respectively) and were comparable for sweet, salt, and sour. In addition, taste perception profiles captured differential perceptions of each taste within individuals, whereas these patterns were lost with total taste scores.Conclusions: Among older adults with metabolic syndrome, taste perception profiles derived via data-driven clustering may provide a valuable approach to capture individual variability in perception of all 5 tastes and their collective influence on diet quality. This trial was registered at https://www.isrctn.com/ as ISRCTN89898870. pubtype: Academic Journal doctype: clinical trial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|