Severe tooth loss in older adults as a key indicator of compromised dietary quality.
OBJECTIVE
Poor oral health influences the dietary quality of older individuals. The objective of the present study was to relate the number of teeth to adherence to the 2005 Dietary Guidelines for Americans among an ethnically diverse sample of older adults.


METHODS
A block cluster design was used to obtain a sample of older adults. Data were weighted to census data for ethnicity and gender. Dietary intakes were assessed using an FFQ and converted into Healthy Eating Index-2005 (HEI-2005) scores.


METHODS
Two counties in North Carolina, USA, with large African-American and American Indian populations.


METHODS
Community-dwelling older adults (N 635).


RESULTS
Three hundred and twenty-six participants had severe tooth loss (0-10 teeth remaining), compared with 305 participants with 11+ teeth. After controlling for socio-economic factors, those with 0-10 teeth had lower total HEI-2005 scores and consumed less Total Fruit, Meat and Beans, and Oils, and more energy from Solid Fat, Alcohol and Added Sugar, compared with those with 11+ teeth. Less than 1 % of those with 0-10 teeth and 4 % of those with 11+ teeth met overall HEI-2005 recommendations. Those with 0-10 teeth were less likely to eat recommended amounts of Total Vegetables, Dark Green and Orange Vegetables, and energy from Solid Fat, Alcohol and Added Sugar.


CONCLUSIONS
Older adults with severe tooth loss are less likely than those with moderate to low tooth loss to meet current dietary recommendations. Nutrition interventions for older adults should take oral health status into consideration and include strategies that specifically address this as a barrier to healthful eating.
Savoca
Margaret R
MR
Department of Nutrition, University of North Carolina at Greensboro, Greensboro, NC 27402, USA. mrsavoca@uncg.edu
Arcury
Thomas A
TA
Leng
Xiaoyan
X
Chen
Haiying
H
Bell
Ronny A
RA
Anderson
Andrea M
AM
Kohrman
Teresa
T
Frazier
Rebecca J
RJ
Gilbert
Gregg H
GH
Quandt
Sara A
SA
D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D016000:Cluster Analysis; D003430:Cross-Sectional Studies; D004034:Diet Surveys; D015577:Geriatric Assessment; D006801:Humans; D009066:Mouth, Edentulous / Q000150:complications*; D009748:Nutrition Disorders / Q000209:etiology*; D009752:Nutritional Status; D009909:Oral Health; D012111:Residence Characteristics; D012424:Rural Population / Q000706:statistics & numerical data; D012737:Sex Factors; D012959:Socioeconomic Factors; D011795:Surveys and Questionnaires; D014481:United States / Q000453:epidemiology
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