Download The Nutritional Profile of Older

The nutritional profile of older men living in Sydney,
Australia: a preliminary analysis of data from the
Concord Health and Ageing in Men Project (CHAMP)
Author: Rosie Waern
(PhD candidate)
Co-Authors: Robert Cumming,
Vasikaran Naganathan, Fiona Blyth,
Margaret Allman-Farinelli, Jean Reid,
Vasant Hirani
CHAMP
 Large
longitudinal study of health of older
men
 1705 men initially involved - ~50%
response rate
 Men re-examined after 2 and 5 years + 4
monthly calls (falls, fractures or
hospitalisations)
 Follow
up for 5 more years
Participants
 Community
dwelling men aged 75+
 Selection criteria: No nursing home
 Living in Burwood, Canada Bay and
Strathfield - near the Concord
Hospital, Sydney
 From various cultural backgrounds Australian, Italian, Greek, Chinese,
etc.
CHAMP recruitment
Invitation letter sent to 3627 men identified from electoral roll
Contact made with 3005 men
1511 men agreed to participate +
194 men volunteered to participate
1705 men at Baseline
~1000 men remaining at 5
year follow-up
324 men completed
Diet History
~622 men
did not
have listed
telephone
number
Measurements in the CHAMP
Methods: Dietary 1




Diet history interview
(past three months
intake)
Contacted after
attending 5 year
follow up clinic;
Takes ~40min
Conducted by dietitian
at participants’
residence




Encourage wife to
participate in interview
Use of food models to
assist in quantification
and memory
Checklist of “extra
foods” and snacks
Preliminary validation
shows excellent
correlation (WFR vs.
DH)
Methods: Dietary 2

Information on all the macro and micronutrients

FoodWorks7 pro, AUSNUT 2007 database - most
recent and complete nutrient database

Nutrients of interest (protein, calcium, iron, zinc,
vitamins A, C and D) were compared to Australian
Nutrient Reference Values (NRV) - Estimated
Average Requirement (EAR), Adequate Intake (AI)
and Acceptable Macronutrient Distribution Range
(AMDR) were used according to sex and age (Male,
70y+)
Methods: Statistics
SPSS and STATA
 Logistic regression
 Means and SDs
 Proportion of men meeting NRVs

Results: means and macronutrients
distribution
Macronutrient distribution
Alcohol
4%

Others
4%


Protein
20%
Total fat
35%
Carbohydrate
37%
Sat. Fat
12%

Other
fats
23%



Acceptable Macronutrient
Distribution Range (AMDR)
15-25% from protein
45-65% from carbohydrate
20-35% from fats
≤10% of this as saturated fats

Mean age was 81yo (±4.5y)
Mean BMI was 27.6 kg/m2
(±4kg/m2)
Mean energy intake was 9013kJ(SD
2297kJ)
Total fat contribution on its upper
limit
Saturated fat contribution was 2%
higher than recommended
Carbohydrate contribution was
lower than recommended
A large number of men consuming
limited amounts of carbohydrate
Contribution of nutrients: fat 37kJ/g,
carbohydrate 17kJ/g, protein 17kJ/g
Results - Mean intake vs. Nutrient
Reference Values (NRVs)
Vit A (µg)
Zinc (mg)
1500
15
14
13
14.2
12
1000
Intake
EAR
12
11
1.5
1154
500
10
16
123
12
Intake
27.5
EAR
6
Calcium (mg)
20
Intake
28
Intake
Vit D (µg)
30
29
16
0
Dietary fibre (g)
30
EAR
Iron (mg)
4
30
0
0.83
0.5
8
EAR
50
Intake
0
Vit C (mg)
100
26
EAR
625
1.34
1
Intake
0
150
27
Protein(g)
AI
1500
15
15
10
5
0
Intake
AI
6.3
1000
500
0
897
1100
Intake
EAR
Results: Percentage of men meeting
Nutrient Reference Values (NRVs)
98.5%
100.0%
90.0%
99.1%
90.7%
83.3%
80.0%
70.0%
66.0%
60.0%
50.0%
40.0%
33.6%
30.0%
22.5%
20.0%
10.0%
1.5%
0.0%
Met NRV
Vit A
Vit C
Vit D
Calcium
Iron
Zinc
Dietary Fibre
Protein
Results: Food sources
 Beef
- protein and
zinc;
 Milk - for calcium;
vitamin D, vitamin
A;
 Breakfast cereals iron;
 Vegetables - dietary
fibre and vitamin C
Results: Others

Men aged ≥85yo ↑protein, calcium, iron
and zinc intakes compared to those
aged 75-79.

There were no significant associations
between country of birth, occupation,
education status and any macro- or
micronutrients.
Strengths and Limitations
Strengths
 A range of information on health of older men (self
reported biological, clinical) – look at more
associations between nutrition and various outcomes

Reliable dietary method – very good correlation
between diet history and weighed food records
(preliminary results)

Only few studies have used Diet History
Limitations
 Preliminary results - full data set at the end of year
Next step




Associations of oral health and nutrition
A more comprehensive nutritional profile
of these men
Association of macronutrient intake and
health outcomes - The geometric
framework and nutrition of older men
(my PhD)
And much more…
Acknowledgements
 All
the CHAMP team and
participants
 Prof Bob Cumming
 Dr Vasant Hirani
 NHMRC
 CEPAR
 CERA
 AARF
Thank you