Organic Name Reactions for the students and aspirants of Chemistry12th.pptx
XNN001 Lecture 2 The epidemiology of nutrition and physical activity
1. THE EPIDEMIOLOGY OF
PHYSICAL ACTIVITY AND
NUTRITION IN AUSTRALIA
XNN001 Population nutrition and physical
activity assessment
2. Chronic conditions
internationally
35% of adults over 20 years overweight, 12%
obese
Global prevalence of diabetes estimated to be
10% in adults aged 25+ years (221 million
people)
151 million with osteoarthritis
64 million with chronic obstructive pulmonary
disease (symptomatic cases)
54 million with angina pectoris
31 million were stroke survivors
3. Chronic conditions in Australia
28% of adults 18 years and over obese, 35%
overweight
17 per cent of boys and girls overweight; 6 per
cent obese
17% of the population have one or more long
term conditions of the circulatory system
32% of the population have hypertension
Chronic conditions account for 80% of the total
burden of disease
5. Population-level dietary and PA
data in Australia
Often collected as a component of broad
surveys (e.g. National Health Surveys)
Changing measures and sampling methods-
limited evaluations of trends
No systematic data collection
6. National Health Survey
Alcohol consumption
Fruit & vegetable intake
Physical activity level
Household food security
7. Nutrition Surveys in Australia
National dietary surveys among adults-
1983, 1995, 2011-12
Children’s surveys 1985, 1995, 2007
Conducted by different agencies – different
sampling & data collection methods, different
food composition tables
8. Diet
48% met recommendations for fruit
9% met recommendations for vegetables
~ 5% meet recommendations for both fruit and
vegetable
Total fat intake provided ~32% of energy
SF 13% total energy (1995 NNS)
<5% of households food insecure ((2004/05 NHS)
9. Diet children
Low proportion meeting recommendations for
F&V
Saturated fat intake high
Intakes of some micronutrients high
10. Physical activity
67% adults had sedentary or
low levels of physical activity
66% of school children
participated in PA, however for
most this was less than 2 hours
per week
95% of school children
participated in sedentary
leisure time activities, for most
this made up 10 – 19 hours
11. State-level data
Differs by state
QLD- no systematic approach to collecting
information about population diet and PA
Qld Omnibus survey
Qld cancer council risk study (2004)
NSW & Vic- regular Population Health surveys
12. Extending beyond surveys of
individuals
Food supply data
Nutrient composition of foods
Australian Household Expenditure Survey
International comparisons
13. Food supply data
To calculate ‘available food for consumption’ – Food balance
sheets
Information on amounts of food (raw commodities)
available for consumption per year
Food available for use =
production + imports – exports
Food available for consumption =
production + imports – exports – industrial use – animal use
Important – food available for consumption does NOT tell us
how much food is actually eaten!
14. Food supply data
To compare food trends within Australia Apparent
food consumption data
Apparent consumption =
(commercial production + estimated home production +
imports + opening stocks)
(exports + usage for processed foods + non-food usage +
wastage + closing stocks)
MINUS
15. Tables of food composition
Used to:
Convert information about food intake to nutrient intake
Contain:
Nutrient data that is an average of nutrients in a particular
sample of foods & ingredients, determined at a particular
time
Need to:
Be current
Match the food supply
NOTE: The nutrient composition of foods & ingredients can vary
substantially over different batches, & between brands because of a
number of factors including:
• Changes in season
• Processing practices
• Ingredient source
16. Limitations of food composition
tables
Limitations:
Food supply changes quickly
Biological variation of foods
Single values representing range
Incomplete data – missing foods & nutrients
Bioavailability not considered
Potential measurement & data entry error
Relate to food supply of that country
17. Food purchasing and acquisition
Household food expenditure
budget surveys
provides data on amount of
money/proportion of income spent on food
by different kinds of households
provides weighting figures for CPI
(Consumer Price Index)
not measuring foods or nutrients
19. Nutrient Reference Values
Retain the concept of the RDI
Provide more complete information for decision
making about nutritional status of individuals and
groups
Outline the levels of intake of essential nutrients
considered to be adequate to meet the known
nutritional needs of practically all healthy people
for prevention of deficiency states.
20. Nutrient Reference Values
The document can be used by health
professionals to assess the likelihood of
inadequate intake in individuals or groups of
people.
NRV is ‘umbrella term’, there are different NRV
values for different nutrients:
• EAR – Estimated Average Requirement
• AI – Adequate Intake
• RDI – Recommended Dietary Intake
• UL – Upper Limit of Intake
• EER – Estimated Energy Requirement
• SDTs – Suggested Dietary Target
• AMDRs – Acceptable Macronutrient Distribution
21. Nutrient requirements
Developed using reference (standard) body
weights for different age groups
Estimated Energy Requirements (EERs)
include physical activity level (PAL)
consideration but refer to standardised weight
for age
Adults well above and below the reference
standard will have slightly different nutrient
requirements (use RDI)
22. Estimate Average Requirement –
EAR
Daily nutrient level estimated to meet the
requirement of half the healthy individuals in a
life stage/gender group (ie median value)
Uses:
Individuals: use to examine the probability that
usual intake is inadequate
Groups: use to estimate the prevalence of
inadequate intakes within a group
23. Recommended Dietary Intake -RDI
Average daily dietary level sufficient to meet the
nutrient requirements of NEARLY ALL (97-98%)
healthy individuals in a life stage & gender group
Uses:
Individuals: usual intake at or above this level has a
low probability of inadequacy
Groups: DO NOT USE TO ASSESS GROUPS
24. Adequate Intake – AI
Average daily intake based on observed or
experimentally-determined approximations or estimates
of nutrient intake by a group of apparently healthy people
that are assumed to be adequate
Used when an RDI can not be determined
Uses:
Individuals: can be used as a goal for individual intake
but use with caution if nutrient level is based on median
intakes of healthy populations
Groups: if mean intake is at or above this level, a low
prevalence of inadequacy is likely
25. Upper Limit – UL
Highest level of continuing daily nutrient intake
likely to pose no adverse health effects in almost
all individuals
Uses:
Individuals: usual intake above this level may place
an individual at risk of adverse effects from
excessive nutrient intake
Groups: use to estimate the % of the population at
potential risk of adverse effects from excessive
nutrient intake
26. Summary of the uses for the
NRVs
NRV Individuals Groups
EAR Use to determine probability usual
intake is inadequate
Use to estimate prevalence of
inadequate intakes within group
RDI Usual intake at or above this level
has a low probability of inadequacy
DO NOT USE TO ASSESS
INTAKES OF GROUPS
AI Usual intake at or above has a low
probability of inadequacy. When AI
is based on median intakes of
healthy population, interpret with
caution.
Mean usual intake at or above this
level implies a low prevalence of
inadequate intake. When AI is
based on median intakes of healthy
population, interpret with caution.
UL Usual intake above this level may
place individual at risk of adverse
effects from excessive intake
Use to estimate % of population at
potential risk of adverse effects from
excessive nutrient intake
27. Dietary Guidelines 2013
(NHMRC)
Recommendations (‘guidelines’) which
encourage healthy lifestyles that will minimise
the risk of the development of diet related
diseases within the Australian population
Highlight the groups of foods and lifestyle
patterns that promote good nutrition and health
Available in ‘Eat for Health’ publication
28.
29.
30. Dietary Guidelines 2013
Focus on:
Contribution of core foods & major sources of
energy (fat, starch & sugar) to the overall diet
Provide:
A practical way of informing consumers about food
choices that are consistent with current dietary
recommendations
Separate guidelines for adults and children &
adolescents
31. Dietary guidelines 2013
Outlines how many
serves a person
should have of
each food group
based on their:
age
gender
body size (to a
degree)
activity level (to a
degree)
Provides examples
32. Dietary Guidelines 2013
–
notes for use
Summarise current nutrition knowledge
Trigger more comprehensive education
programs
Represent best consensus of scientific
knowledge
For use by healthy adults
Apply to whole diet not to individual
foods
Guidelines are meant to be
complementary not separate items
Not appropriate for cross cultural issues
or unusual habits
33. PA recommendations
Australia’s Physical Activity Recommendations for 5-12 year olds
For infants (birth to one year) physical activity – particularly
supervised floor-based play in safe environments – should be
encouraged from birth.
Toddlers (1 to 3 years) & Pre-schoolers (3 to 5 years) should be
physically active every day for at least three hours, spread
throughout the day.
Children younger than 2 years of age should not spend any time
watching television or using other electronic media
(DVDs, computer and other electronic games) and for children 2 to
5 years of age these activities should be limited to less than one
hour per day.
Infants, toddlers and pre-schoolers should not be
sedentary, restrained, or kept inactive, for more than one hour at a
34. PA recommendations
Australia’s Physical Activity Recommendations for 5-
12 year olds
Children need at least 60 minutes (and up to several
hours) of moderate to vigorous physical activity every
day;
Children should not spend more than two hours a day
using electronic media for entertainment (e.g.
computer games, TV, Internet), particularly during
daylight hours.
Australia’s Physical Activity Recommendations for
12-18 year olds
-12-18 year olds should be doing at least 60 minutes
of moderate to vigorous physical activity every day to
keep healthy;
35. PA recommendations
National Physical Activity Guidelines for
Adults
Think of movement as an opportunity, not an
inconvenience;
Be active every day in as many ways as you
can;
Put together at least 30 minutes of moderate-
intensity physical activity on most, preferably
all, days;
If you can, also enjoy some regular, vigorous
activity for extra health and fitness.
36. PA recommendations
Recommendations for Physical Activity for Health for Older
Australians
Older people should do some form of physical activity, no matter
what their age, weight, health problems or abilities;
Older people should be active every day in as many ways as
possible, doing a range of physical activities that incorporate
fitness, strength, balance and flexibility;
Older people should accumulate at least 30 minutes of moderate
intensity physical activity on most, preferably all, days;
Older people who have stopped physical activity, or who are
starting a new physical activity, should start at a level that is easily
manageable and gradually build up the recommended amount,
type and frequency of activity;
Older people who continue to enjoy a lifetime of vigorous physical
activity should carry on doing so in a manner suited to their
capability into later life, provided recommended safety procedures
and guidelines are adhered to.
37. Measurement issues
Error- validity
when an estimate
(eg, incidence, prevalence, mortality) or association
(RR, OR) deviates from ‘true’ situation in nature
May be introduced at any point during the
study:
Study design (quality)
sampling
Measurement
Analysis
Random error
Systematic bias
38. Random error
Fluctuations around a true value
Related to poor precision
Sources
individual biological variation (always present)
sampling variation
measurement variation (protocols and training)
Reduced by:
larger sample sizes
standard protocols and equipment
39. Systematic bias
Any systematic error in the design, conduct
or analysis of a study that results in a
mistaken estimate of an exposure’s effect on
the risk of a disease
Due to causes other than random error
Problem of validity
internal and/or external validity
Editor's Notes
Determinants exist at varying levels. These include:‘Macro’ or ‘upstream’ level determinants, which are the cultural contexts in which people live, such as social, environmental and geographical.‘Meso’ or ‘midstream’ level determinants, which are the relationships between existing microsystems. For example, the connection between family experiences and school experience.‘Micro’ or ‘downstream’ level determinants, those immediately surrounding the individual, such as family, peers and school.Determinants that affect health in a positive way are referred to as protective factors (e.g. good nutrition) while determinants that affect health in a negative way are commonly known as risk factors (e.g. low levels of physical activity). This table which is also in the Module 1 document, shows the relationship between selected chronic conditions and modifiable risk factors. The table reflects data that was collected by the 2007-08 Australian National Health Survey (ABS).We can see that tobacco smoking, physical inactivity and poor diet are all linked to most major chronic conditions. This has implications for our professional practice, because a single chronic condition is often the result of multiple risk factors and therefore we need a comprehensive, interdisciplinary approach that addresses multiple risk factors in order to prevent and manage chronic conditions.
Food and nutrition policy – 1992Acknowledged need for monitoring/ surveillanceLimitations of collecting nutrition/ PA data in broad survey: restrictions on space in these surveys - dietary and physical activity information collected restricted to a limited base of broad indicators of diet and physical activity (e.g. fruit and vegetable consumption, leisure time physical activity) which may be insufficient to base policy and health promotion decisions on.Due to no regular/ consistent method of screening, in many instances these data are limited for observing trends in these behaviours in Australia over time, as sampling or measurement methods differ between data collection points or there may not be a regular schedule of data collection of all variables.
The regularity of the Australian National Health Survey allows for monitoring and surveillance of physical activity at the national level among adults. However, these measures of physical activity are restricted to LTPA and estimates of the total amount of time spent walking or in moderate or vigorous types of physical activities.- Crude dietary indicators allow for limited surveillance of dietary behaviours. Additional data about age, country of birth, rural/remote location and a range of socioeconomic indicators enable the examination and monitoring of dietary intakes and physical activity by various population subgroups.
Only two national dietary intake surveys have been conducted among Australian adults in the past 50 years; NNS used both a 24 hour recall and food frequency questionnaireconducted by different agencies different sampling and dietary data collection methods different food composition databasesprovide detailed information about dietary behaviours cross-sectionally, are limited for monitoring purposes because of their different sampling and measurement methodsCurrently, there is planning and consultation underway for a National Nutrition and Physical Activity Survey Program among adults. Preliminary information about the sampling and data collection methods suggest similarities with those employed in the 1995 National Nutrition Survey- which would provide the first opportunity in Australia to examine trends in dietary intakes over time, and therefore provide information for monitoring and surveillance of dietary intakes.
females aged 15 years and over consumed more fruit and vegetables overall than their male counterparts. 56% of females and 46% of males met the recommended daily intake of fruit10% of females and 7% of males met the recommended daily intake of vegetables -total fat intake contributed 32% of energy intakes, and saturated fats contributed to 13% of total energy.
- Among children aged 5–17 years, 25% were classified as overweight or obese (17% and 8% respectively - In the 2007 Children’s National Nutrition and Physical Activity Survey, 17 per cent of boys and girls were classified as overweight; 6 per cent were obese; Dietary behaviours 2007 Children’s National Nutrition and Physical Activity Survey:-61% per cent of 4–8 year olds consumed adequate fruit (excluding juice), compared to only 1% of 14–16 year old- 22% of 4–8 year old children and 5%of 14–16 year olds met the dietary guidelines for vegetable intake. 30% average total energy contributed by fat intake of children from each of the age groups was approximately 30 per cent. 13 – 14% Saturated fat intake -some micronutrient intakes such as calcium, sodium and magnesium are likely to be problematic, particularly for the 14–16 year olds who were the least likely to meet the recommended intakes.
65% of respondents aged 15 years or more had exercised for fitness, recreation or sport during the two weeks prior to interview. - - Almost half (48%) of respondents walked for exercise in the two weeks prior to interview36% did some form of moderate exercise (exercise which caused a moderate increase in heart rate or breathing) 15% did vigorous exercise (exercise which caused a large increase in heart rate or breathing).
At the state level, there has been sporadic monitoring of dietary intakes and physical activity among adults. QLD:Recent data on various aspects of dietary intakes and physical activity is available from the Queensland Health Omnibus Survey. This survey, conducted at 2-3 year intervals in Queensland has the potential for monitoring and surveillance, however the scope of the diet and physical activity items included in the survey has differed from year to year, making monitoring and surveillance difficult. NSW:NSW Population Health Survey collected by the epidemiology branch of NSW Health - annual survey collects a range of information about dietary behaviours and physical activity. Broad focus, number of health outcomes - diet and physical activity measures that are available tend to be broad (rather than specific) indicators of these behaviours. Victorian Health Survey -primary source of epidemiological data on dietary behaviours and physical activity among adults living in Victoria. Annual survey, with measurement and sampling methods being similar in each wave of data collection, making the observation of trends and surveillance possible. Dietary data collected in the survey includes information on fruit and vegetable intakes, type of milk consumed, alcohol consumption and physical activity information includes total time spent in sedentary, moderate and vigorous physical activity.
Dietary behaviours are complex and are the culmination of a range of factors including access, availability and affordability to foods that, arguably, are beyond the realm of the individual and are characteristics of the food supply. This contrasts with physical activity, where there may be fewer contextual factors that may influence an individual’s behaviour. In understanding the epidemiology of dietary behaviours, nutrition-related health outcomes and trends among populations, an understanding of the food supply with which the population interacts is important. In bringing about better health among populations, the scope of public health nutrition extends beyond health promotion and policy strategies that encourage individuals to make more healthy dietary choices to ensuring that the available food supply also promotes these choices.
In Australia, information about household expenditure on food is collected periodically as part of the Australian Bureau of Statistics’ Household Expenditure Survey. Limitations of this data are that it does not collect information on the quantity of foods purchased and the descriptions of foods purchased are not sufficient to allow for analyses of nutrient contents. Information on food supply can take a variety of factors into account, including production, imports, export, industrial and animal use of food, and waste.Food Balance Sheets Provide information about the amount of food available for human consumption in a country in a given year from the FAOtakes into account production, changes in stocks, imports & exports, agricultural & industrial use of foodstuffsrelates only to primary producegive trends in food supply over time both within & between countries Relates to national average, provides estimates per kg of food per head per year OR per grams of food per head per day.Important– food availability data is not the same as food consumption data (i.e. Information on the availability of food does not tell us how much food is actually eaten).
To compare trends in ‘apparent’ food consumption over time: Still an estimate as not measuring actual intake at the household levelApparent Consumption Data Derived by ABS in way similar to food balance sheets, however reporting is not limited to primary produce Not used for all food products e.g. if there was a better way of deriving consumption or for foods for which all components of the equation were not available (some milk products, beer, eggs, wine, cheese etc)Gives overall trends & correlationsData is useful in nutrition planningLong term data minimizes daily & seasonal variationsLarge sample populations increase validity of conclusionsNo placebo effectNo participant error
ABS Household Expenditure Survey – food available not actual food consumed nor nutrients consumedRetail food salesHousehold food expenditureability to get data on volumes purchased increases participant burdenallows for analysis of trends over timecomparisons of expenditure patterns b/n households from different areas, households with different composition & households with different levels of income
There are many implications associated with the adoption of the NRVS. These include:Ongoing education of health professionals and food industry professionals in the use of NRVS and the related tools for their use;Need to update: The NHMRC Core Food Groups analysis, the Australian Guide to Healthy Eating, the Dietary Guidelines for Australian Adults, the Australian Guidelines for Children and Adolescents in Australia and the Dietary Guidelines for Older Australians;Need for regular monitoring of dietary intake and nutrient status in the population, including the use of fortified foods and supplements to assist in ongoing revisions of the NRVs, especially the AI values which are often based on population median dietary intakes;Need to update and expand existing food databases for the analysis of national nutrition surveys data, including levels of fortification in foods;The need to change computerised dietary analysis programs that use the existing RDI values as reference values;The need for the redevelopment of relevant standards for the use of NRVs for food legislative purposes, including issues such as food labelling and food fortification;The need to consider the implications of changes in the NRVs for the food and dietary supplementation industry.
Validity is therefore how ‘accurately’ a measure is quantifying what it is designed to measure. There are many instances in dietary and physical activity research where error may affect our estimates of the population’s behaviours: Mistakes in the handling of mixed dishes: may lead to incorrect estimates of their nutrient content.
Random error is just that: random. It can occur during data collection, coding, transfer, or analyses. Examples of random error include: poorly worded questions, a misunderstanding in interpreting an individual answer from a particular respondent, or a typographical error during coding. Random error affects measurement in a transient, inconsistent manner, and it is impossible to correct for random error. Precision in epidemiological variables is a measure of random error. Precision is also inversely related to random error, so that to reduce random error is to increase precision. Confidence intervals are computed to demonstrate the precision of an estimated ‘true’ value. The narrower the confidence intervals, the more precise the estimate. To reduce random error: Increase the sample size of the study (theory behind this is that with a large enough sample size the degree of under-estimation will equal the degree of over-estimation, and therefore cancel each other out). - Reduce the variability in measurement (use a more precise measuring device or by increasing the number of measurements).
A systematic error is when a measure mis-estimates a ‘true’ value, and this mis-estimation is either consistently lower or consistently higher than the true value (e.g. if a food frequency questionnaire consistently under-estimates fat intake compared to ‘true’ fat intake). Because the error happens in the same direction in every instance, it is regarded as ‘systematic’. Systematic error is of greater concern than random error in population-based studies, as it is more likely to contribute to incorrect clinical judgments about the population’s health and health-related behaviours. One of the best ways to deal with systematic errors, is to use multiple measures of the same construct