Nutrition in Aging
This course interprets research on nutrition during aging, covering acute and chronic conditions in older persons, the impact of aging on organ systems, and the relationship among physiologic aging, nutrition, and disease.
Summary
Recent recorded grades — Fall 2022: 4.00 GPA, 100.0% A/AB (n=8 letter grades); Fall 2023: 3.85 GPA, 84.6% A/AB (n=13 letter grades).
What you’ll be able to do
Articulate how the physiologic changes of aging impact nutrition, distinguishing between natural physiologic changes of aging and those occurring from disease.
List characteristics representative of the aging population.
Describe how dietary recommendations for older adults differ from younger adults.
Identify physiologic changes of aging that impact exercise capacity and describe the benefits of exercise for older adults.
Examine, investigate, and summarize the essential components of a nutritional assessment for an older adult, including anthropometric, biochemical, clinical, and dietary factors.
Describe the nutritional impact of diseases and conditions common in older adults.
Explain the significance of nutrition in prevention and management of diseases frequently impacting older adults.
Implement appropriate dietary and lifestyle interventions for the prevention of disease and conditions common among older adults.
Source: UW Guide
Grade history
↗All recorded terms · compare terms & instructors
Prerequisites
Course mapDeclared in Clinical Nutrition MS or the Capstone Certificate in Clinical Nutrition
- Declared in Clinical Nutrition MS or the Capstone Certificate in Clinical Nutrition
This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
- Declared in Clinical Nutrition MS or the Capstone Certificate in Clinical Nutrition
Professors
Spring 2027No instructors recorded for this selection.
Historical instructors & teaching patterns
Recorded history may be incomplete and does not establish a future schedule.
Calendar & sections
Spring 2027Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
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Times are Central. Select a meeting for details; export includes recorded dates for the selected sections.
Meeting source records
No records available.
Student experience
the class
Recent recorded grades — Fall 2022: 4.00 GPA, 100.0% A/AB (n=8 letter grades); Fall 2023: 3.85 GPA, 84.6% A/AB (n=13 letter grades).
difficulty & workload
No workload feedback recorded.
Topics
- Acute and chronic conditions in older persons in hospital and community settings.
- Impact of aging on organ systems and the relationship among physiologic aging, nutrition, and disease.
- Dietary recommendations for older adults compared to younger adults.
- Physiologic changes affecting exercise capacity and benefits of exercise for older adults.
Skills
- Distinguish between natural physiologic changes of aging and disease-related changes impacting nutrition.
- Summarize essential components of a nutritional assessment for older adults, including anthropometric, biochemical, clinical, and dietary factors.
- Implement dietary and lifestyle interventions for preventing diseases and conditions common among older adults.
Grades
Latest available · Fall 2023— not enough history to project Spring 2027.
Grade distribution · % of letter grades
Grades over time
Through Fall 2023
More grade details Grade mix, volume & source data
Not enough comparable courses for Spring 2027 in UW–Madison.
Sources & history
Catalog & offerings
Descriptions, prerequisites, and recorded course offerings.
Catalog observation history
Observations at scan time; dates do not imply when a catalog change took effect.
Selected offering source records
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Raw records
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Student reviews
Original comments behind the course and instructor summaries.
Read original reviews
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Grade history
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesRecorded 2026-10-14
Model outputs & technical records
LLM outputs across runs
Full model traces
Recorded model configuration, reasoning, and tool conversations.
Model & dataset provenance
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