The relationship between the DETERMINE checklist, social factors, and nutritional risk in rural, community-dwelling, elderly women
dc.contributor.advisor | Elisabeth Schafer | |
dc.contributor.author | Brunt, Ardith | |
dc.contributor.department | Department of Food Science and Human Nutrition (CALS) | |
dc.date | 2018-08-23T01:32:02.000 | |
dc.date.accessioned | 2020-06-30T07:21:51Z | |
dc.date.available | 2020-06-30T07:21:51Z | |
dc.date.copyright | Fri Jan 01 00:00:00 UTC 1999 | |
dc.date.issued | 1999 | |
dc.description.abstract | <p>Using a stratified sample of 249 older, rural, community-dwelling women grouped into three age cohorts (65--74 years, 75--84, and 85+ years), this research evaluated the ability of the DETERMINE checklist and social factors to identify those with at-risk nutritional status. A modified DETERMINE checklist found 7% and 42% of the sample to be at high and moderate risk, respectively. Anthropometric measures identified approximately 10% of the sample to be at-risk; however, at-risk measures were more prevalent among the oldest-old (aged 85+). At-risk energy intake was identified in half the women, with a larger percentage of young-old (aged 65--74) compared to the old-old (aged 75--84) and oldest-old found with at-risk energy intake. At-risk protein intake was present in 9% of the women. Assessing inadequate nutrient intake as <75% of recommended levels for nine nutrients, cumulative risk totals showed that 33% of the women consumed ≥ 4 nutrients at inadequate levels, but this percentage dropped to 13% for ≥ 5 nutrients. Overall, at-risk energy and protein intakes were predictive of anthropometric measures;Overall, the DETERMINE checklist was a poor predictor of at-risk nutritional status. A score of ≥ 6 on the DETERMINE checklist only identified those with an at-risk mid-arm circumference and was not predictive of cumulative at-risk nutrient intake. Four questions predicted at-risk anthropometric measures: having an illness; eating few fruits, vegetables, or dairy products; involuntary weight change; and inability to shop, cook, and feed oneself. Three questions predicted cumulative at-risk nutrient intake: eating few fruits, vegetables, or dairy products; eating alone; and involuntary weight change;Cohort differences were evident. For the oldest-old, having an illness, a ten pound weight change, or a score of ≥ 6 on the DETERMINE checklist identified those who were more likely to have at-risk anthropometric measures. In the young-old group, eating alone predicted at-risk triceps skinfold measures;Social factors did little to help predict nutritional risk overall. For the young-old, attendance at a senior center, having contact with others besides family, and living with someone reduced the likelihood of at-risk protein and energy intake.</p> | |
dc.format.mimetype | application/pdf | |
dc.identifier | archive/lib.dr.iastate.edu/rtd/12551/ | |
dc.identifier.articleid | 13550 | |
dc.identifier.contextkey | 6805770 | |
dc.identifier.doi | https://doi.org/10.31274/rtd-180813-13819 | |
dc.identifier.s3bucket | isulib-bepress-aws-west | |
dc.identifier.submissionpath | rtd/12551 | |
dc.identifier.uri | https://dr.lib.iastate.edu/handle/20.500.12876/65932 | |
dc.language.iso | en | |
dc.source.bitstream | archive/lib.dr.iastate.edu/rtd/12551/r_9924702.pdf|||Fri Jan 14 19:24:15 UTC 2022 | |
dc.subject.disciplines | Family, Life Course, and Society | |
dc.subject.disciplines | Feminist, Gender, and Sexuality Studies | |
dc.subject.disciplines | Gerontology | |
dc.subject.disciplines | Nutrition | |
dc.subject.disciplines | Public Health | |
dc.subject.disciplines | Women's History | |
dc.subject.disciplines | Women's Studies | |
dc.subject.keywords | Food science and human nutrition | |
dc.subject.keywords | Nutrition | |
dc.title | The relationship between the DETERMINE checklist, social factors, and nutritional risk in rural, community-dwelling, elderly women | |
dc.type | dissertation | |
dc.type.genre | dissertation | |
dspace.entity.type | Publication | |
relation.isOrgUnitOfPublication | 4b6428c6-1fda-4a40-b375-456d49d2fb80 | |
thesis.degree.level | dissertation | |
thesis.degree.name | Doctor of Philosophy |
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